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Upper Extremity DVT in Hospitalized Patients
Increasingly, there is a focus on prevention of hospital‐acquired conditions including venous thromboembolism (VTE). Many studies have evaluated pulmonary embolism (PE) and lower extremity deep vein thrombosis (LEDVT), but despite increasing recognition of upper extremity deep vein thrombosis (UEDVT),[1, 2, 3, 4] less is known about this condition in hospitalized patients.
UEDVTs may be classified as primary, including disorders such as Paget‐Schroetter syndrome or other structural abnormality, or may be idiopathic; the majority are secondary clots.[5] Conventional risk factors for LEDVT including older age and obesity have been found to be less commonly associated,[1, 2, 5, 6, 7] and patients with UEDVT are generally younger, leaner, and a higher proportion are men. They are more likely to have malignancy or history of VTE and have undergone recent surgery or intensive care unit stay.[1, 2, 6] Central venous catheters (CVCs), often used in hospitalized patients, remain among the biggest known risks for UEDVT[1, 2, 3, 7, 8, 9, 10]; concomitant malignancy, VTE history, severe infection, surgery lasting >1 hour, and length of stay (LOS) >10 days confer additional risks with CVCs.[6, 7, 8, 11]
UEDVTs, once thought to be relatively benign, are now recognized to result in complications including PE, progression, recurrence, and post‐thrombotic syndrome.[2, 4, 12, 13] Despite extensive efforts to increase appropriate VTE prophylaxis in inpatients,[14] the role of chemoprophylaxis to prevent UEDVT remains undefined. Current guidelines recommend anticoagulation for treatment and complication prevention,[13, 15] but to date the evidence derives largely from observational studies or is extrapolated from the LEDVT literature.[2, 13]
To improve understanding of UEDVT at our institution, we set out to (1) determine UEDVT incidence in hospitalized patients, (2) describe associated risks and outcomes, and (3) assess management during hospitalization and at discharge.
METHODS
We identified all consecutive adult patients diagnosed with Doppler ultrasound‐confirmed UEDVT during hospitalization at Harborview Medical Center between September 2011 and November 2012. For patients who were readmitted during the study period, the first of their hospitalizations was used to describe associated factors, management, and outcomes. We present characteristics of all other hospitalizations during this time period for comparison. Harborview is a 413‐bed academic tertiary referral center and the only level 1 trauma center in a 5‐state area. Patients with UEDVT were identified using an information technology (IT) tool (the Harborview VTE tool) (Figure 1), which captures VTE events from vascular laboratory and radiology studies using natural language processing. Doppler ultrasound to assess for deep vein thrombosis (DVT) and computed tomographic scans to diagnose PE were ordered by inpatient physicians for symptomatic patients. The reason for obtaining the study is included in the ultrasound reports. We do not routinely screen for UEDVT at our institution. UEDVT included clots in the deep veins of the upper extremities including internal jugular, subclavian, axillary, and brachial veins. Superficial thrombosis and thrombophlebitis were excluded. We previously compared VTE events captured by this tool with administrative billing data and found that all VTE events that were coded were captured with the tool.

The VTE tool (Figure 1) displays imaging results together with demographic, clinical, and medication data and links this information with admission, discharge, and death summaries as well as CVC insertion procedure notes from the electronic health record (EHR). Additional data, including comorbid conditions, primary reason for hospitalization, past medical history such as prior VTE events, and cause of death (if not available in the admission note or discharge/death summaries), were obtained from EHR abstraction by 1 of the investigators. A 10% random sample of charts was rereviewed by another investigator with complete concordance. Supplementary data about date of CVC insertion if placed at an outside facility, date of CVC removal if applicable, clinical assessments regarding whether a clot was CVC‐associated, and contraindications to therapeutic anticoagulation were also abstracted directly from the EHR. Administrative data were used to identify the case mix index, an indicator of severity of illness.
Pharmacologic VTE prophylaxis included all chemical prophylaxis specified on our institutional guideline, most commonly subcutaneous unfractionated heparin 5000 units every 8 hours or low molecular weight heparin (LMWH), either enoxaparin 40 mg every 12 or 24 hours or dalteparin 5000 units every 24 hours. Mechanical prophylaxis was defined as use of sequential compression devices (SCDs) when pharmacologic prophylaxis was contraindicated. Prophylaxis was considered to be appropriate if it was applied according to our guideline for >90% of hospital days prior to UEDVT diagnosis. Therapeutic anticoagulation included heparin bridging (most commonly continuous heparin infusion, LMWH 1 mg/kg or dalteparin) as well as oral vitamin K antagonists. The VTE tool (Figure 1) allows identification of pharmacologic prophylaxis and therapy that is actually administered (not just ordered) directly from our pharmacy IT system. SCD application (not just ordered SCDs) is electronically integrated into the tool from nursing documentation.
CVCs included internal jugular or subclavian triple lumen catheters, tunneled dialysis catheters, or peripherally inserted central catheters (PICCs), single or double lumen. Criteria used to identify that a UEDVT was CVC‐associated included temporal relationship (CVC was placed prior to clot diagnosis), plausibility (ipsilateral clot), evidence of clot surrounding CVC on ultrasound, and physician designation of association (as documented in progress notes or discharge summary).
Simple percentages of patient characteristics, associated factors, management, and outcomes were calculated using counts as the numerator and number of patients as the denominator. For information about UEDVTs, we used total number of UEDVTs as the denominator. Line days were day counts from insertion until removal if applicable. The CVC placement date was available in our mandated central line placement procedure notes (directly accessed from the VTE tool) for all lines placed at our institution; date of removal (if applicable) was determined from chart abstraction. For the vast majority of patients whose CVCs were placed at outside facilities, date of placement was available in the EHR (often in the admission note or in the ultrasound report/reason for study). If date of line placement at an outside facility was not known, date of admission was used. The University of Washington Human Subjects Board approved this review.
RESULTS
General Characteristics
Fifty inpatients were diagnosed with 76 UEDVTs during 53 hospitalizations. Three patients were admitted twice during the study period. Their first admission is used for the purposes of this review. None of these 3 patients had new UEDVTs diagnosed during their second admission.
The patients' mean age was 49 years (standard deviation [SD] 15.6; range, 2482 years) vs 50.9 years (SD 17.49; range, 18112 years) among all other hospitalizations during this time (Table 1). Seventy percent (35) of patients with UEDVT were men. Sixteen percent (8) of patients with UEDVT had known VTE history, 20% (10) of patients had malignancy, and 22% (11) of patients had stage V chronic kidney disease or were hemodialysis dependent.
Characteristic | Patients With UEDVT, N=50 | All Hospitalizations, N=23,407a |
---|---|---|
| ||
Age, y, mean (range) | 49 (2482) | 51 (18112) |
Sex, % male (no.) | 70% (35) | 63% (14,746) |
Case mix index, mean (range) | 4.78 (0.6917.99) | 1.87 (0.1626.34) |
Length of stay, d, mean (range) | 24.6 (291) | 7.2 (1178) |
Transfer from outside hospital (no.) | 50% (25) | 25% (5,866) |
Intensive care unit stay (no.) | 46% (23) | 36% (8,356) |
Operative procedure (no.) | 46% (23) | 41% (9,706) |
In‐hospital mortality (no.) | 10% (5) | 4% (842) |
Discharge to skilled nursing facility or other hospital, n=45 surviving patients (no.) | 62% (28) | 13% (3,095) |
30‐day readmission, n=45 surviving patients (no.) | 18% (8) | 5% (1,167) |
Patients diagnosed with UEDVT had complex illness, long LOS, and were often transferred from outside hospitals relative to other hospitalizations during this time period (Table 1). Slightly more required intensive care and underwent surgery. Eighty‐four percent (42) of patients with UEDVT required CVCs during hospitalization. Among patients whose UEDVT was not present on admission, 94% received appropriate VTE prophylaxis prior to UEDVT diagnosis.
In patients with UEDVT, the most common reasons for hospitalization were sepsis/severe infection (43%), cerebral hemorrhage (16%), and trauma (8%). Primary service at diagnosis was medicine 56.9%, surgery 25.5%, and neurosciences 17.6%.
Upper Extremity Deep Vein Thromboses
Fifty patients were diagnosed with 76 UEDVTs during their hospitalizations. In 40% (20) of patients, UEDVTs were present in >1 upper extremity deep vein; concurrent LEDVT was present in 26% (13) and PE in 10% (5). The majority of UEDVTs were found in internal jugular veins, followed by brachial and axillary veins. Seventeen percent were present on admission. Upper extremity swelling was the most common sign/symptom and reason for study. Characteristics of UEDVTs diagnosed are listed in Table 2.
Characteristic | % UEDVTs (No.), n=76 |
---|---|
| |
Anatomic site | |
Internal jugular | 38% (29) |
Axillary | 21% (16) |
Subclavian/axillary | 9% (7) |
Subclavian | 7% (5) |
Brachial | 25% (19) |
Hospital day of diagnosis, d, mean (range) | 9.2 (044) |
Present on admission | 17% (13) |
Diagnosed at outside hospital or within 24 hours of transfer | 54% (7) |
Diagnosed during prior hospitalization at our institution | 15% (2) |
Diagnosed within 24 hours of admission via our emergency department | 23% (3) |
Patient‐reported chronic UEDVT | 8% (1) |
Primary UEDVT/anatomic anomaly | 0% (0) |
Signs and symptoms (reasons for obtaining study) | |
Upper extremity swelling | 71% (54) |
Presence of clot elsewhere (eg, pulmonary embolism) | 9% (7) |
Inability to place central venous access | 8% (6) |
Assessment of clot propagation (known clot) | 8% (6) |
Pain | 3% (2) |
Patient‐reported history | 1% (1) |
Of the 50 patients diagnosed with UEDVT during hospitalization, 44% (22) were found to have UEDVTs directly associated with a CVC. Forty‐two of the 50 patients had a CVC; 52% (22 of 42) had CVC‐associated UEDVTs. Fifty percent (11) of these CVCs were triple lumen catheters, 32% (7) were PICCs, and 18% (4) were tunneled dialysis lines. Three of 42 patients with CVCs and line‐associated clots were had a malignancy. For patients with CVC‐associated clot, lines were in place for an average of 14.3 days (range, 273 days) prior to UEDVT diagnosis.
Treatment and Management
Seventy‐eight percent (39) of patients with UEDVT received in‐hospital treatment with heparin/LMWH bridging and oral anticoagulation. Of the 45 patients who survived hospitalization, 75% (34) were prescribed anticoagulation for 3+ months at discharge; 23% (10) had documented contraindications to anticoagulation, most commonly recent gastrointestinal or intracranial bleeding. Two percent of patients (1) was not prescribed pharmacologic treatment at discharge and had no contraindications documented. No patients underwent thrombolysis or had superior vena cava filters placed. Sixty‐four percent (14 of 22) of CVCs that were thought to be directly associated with UEDVT were removed at diagnosis.
Outcomes
Five patients (10%) died during hospitalization, none because of VTE or complications thereof. Cause of death included septic shock, cancer, intracranial hemorrhage, heart failure, and recurrent gastrointestinal bleeding. Of the 45 surviving patients, only 38% (17) were discharged to self‐care; more than half (62%[28]) were discharged to skilled nursing facilities, other hospitals, or rehabilitation centers. Eight patients (18%) were readmitted to our institution within 30 days; none for recurrent or new DVT or PE. No additional patients died at our medical center within 30 days of discharge.
DISCUSSION
UEDVT is increasingly recognized in hospitalized patients.[3, 9] At our medical center, 0.2% of symptomatic inpatients were diagnosed with UEDVT over 14 months. These patients were predominantly men with high rates of CVCs, malignancy, VTE history, severe infection, and renal disease. Interestingly, although the literature suggests that some proportion of patients with UEDVT have anatomic abnormalities, such as Paget‐Schroetter syndrome,[15] none of the patients in our study were found to have these anomalies. In our review, hospitalized patients with UEDVT were critically ill, with a long LOS and high morbidity and mortality, suggesting that in addition to just being a complication of hospitalization,[1, 6] UEDVT may be a marker of severe illness.
In our institution, clinical presentation was consistent with what has been described with the majority of patients presenting with upper extremity swelling.[1, 3] The internal jugular veins were the most common anatomic UEDVT site, followed by brachial then axillary veins. In other series including both in‐ and outpatients, subclavian clots were most commonly diagnosed, reflecting in part higher rates of CVC association and CVC location in those studies.[3, 9] Concurrent DVT and PE rates were similar to those reported.[1, 3, 10]
Although many studies have focused on prevention of LEDVT and PE, few trials have specifically targeted UEDVT. Among our patients with UEDVTs that were not present on admission, VTE prophylaxis rates were considerably higher than what has been reported,[1, 6] suggesting that in these critically ill patients' prophylaxis may not prevent symptomatic UEDVT. It is unknown how many UEDVTs were prevented with prophylaxis, as only patients with symptomatic UEDVT were included. Adequacy of prophylaxis at outside hospitals for patients transferred in could not be assessed. Nonetheless, low numbers of UEDVT at a trauma referral center with many high‐risk patients raise the question of whether prophylaxis makes a difference. Additional study is needed to further define the role of chemoprophylaxis to prevent UEDVT in hospitalized patients.
In our inpatient group, 84% required CVCs; 44% of patients were thought to have CVC‐associated UEDVTs. Careful patient selection and attention to potentially modifiable risks, such as insertion site, catheter type, and tip position, may need further examination in this population.[3, 11, 16] Catheter duration was long; focus on removing CVCs when no longer necessary is important. Interestingly, almost 10% in our study underwent diagnostic ultrasound because a new CVC could not be successfully placed suggesting that UEDVT may develop in critically ill patients regardless of CVCs.
In our study, there were high rates of guideline‐recommended pharmacologic treatment; surprisingly the majority of CVCs with associated clot were removed. Guidelines currently support 3 months of anticoagulation for treatment of UEDVT[2, 13, 17]; evidence derives from observational trials or is largely extrapolated from LEDVT literature.[2, 13] Routine CVC removal is not specifically recommended for CVC‐associated UEDVT, particularly if lines remain functional and medically necessary; systemic anticoagulation should be provided.[13]
In our review, no hospitalized patients with UEDVT developed complications or were readmitted to our medical center within 30 days for clot progression, new PE, or post‐thrombotic syndrome, which is lower than rates reported over longer time periods.[2, 6, 10, 12] Ten percent died during hospitalization, all from their primary disease rather than from complications of VTE or VTE treatment, and no additional patients died at our institution within 30 days. Although these rates are lower than have been otherwise reported,[2, 10] the inpatient mortality rate is similar to a recent study that included inpatients; however, all patients who died in that study had cancer and CVCs.[3] In the latter study, 6.4% died within 30 days of discharge.
Limitations
There are several limitations to this study. It was conducted at a single academic referral center with a large and critically ill trauma and neurosciences population, thereby limiting generalizability. This study describes hospitalized patients at a tertiary care center who were diagnosed with UEDVT. For comparison, we obtained information regarding characteristics of hospitalization for all other inpatients during this time frame. Individuals may have had multiple hospitalizations during the study period, but because we were unable to identify information about individuals, direct statistical comparisons could not be made. However, in general, inpatients with UEDVT appeared to be sicker, with prolonged LOS and high in‐hospital mortality relative to other hospitalized patients.
Only symptomatic UEDVT events were captured, likely underestimating true UEDVT incidence. In addition, we defined UEDVTs as those diagnosed by Doppler ultrasound; therefore theoretically, UEDVTs that were more centrally located or diagnosed using another modality would not be represented here. However, in a prior internal review we found that all VTE events coded in billing data during this time period were identified using our operational definition.
In our study, VTE prophylaxis was administered in accordance with an institutional guideline. We did not have information regarding adequacy of prophylaxis at outside institutions for patients transferred in, and patients admitted through the emergency department likely were not on prophylaxis. Therefore, information about prophylaxis is limited to prophylaxis administered at our medical center for hospitalized patients who had UEDVTs not present on admission.
Information regarding CVC insertion date and CVC type for CVCs placed in our institution is accurate based on our internal reviews. Although we had reasonable capture of information about CVC placement at outside facilities, these data may be incomplete, thereby underestimating potential association of CVCs with UEDVTs identified in our hospitalized patients. Additionally, criteria used to assess association of a CVC with UEDVT may have led to underrepresentation of CVC‐associated UEDVT.
Management of UEDVT in this study was determined by the treating physicians, and patients were only followed for 30 days after discharge. Information about readmission or death within 30 days of discharge was limited to patient contact with our medical center only. Treatment at discharge was determined from the discharge summary. Therefore, compliance with treatment cannot be assessed. Although these factors may limit the nature of the conclusions, data reflect actual practice and experience in hospitalized patients with UEDVT and may be hypothesis generating.
CONCLUSIONS
Among hospitalized patients, UEDVT is increasingly recognized. In our medical center, hospitalized patients diagnosed with UEDVT were more likely to have CVCs, malignancy, renal disease, and severe infection. Many of these patients were transferred critically ill, had prolonged LOS, and had high in‐hospital mortality. Most developed UEDVT despite prophylaxis, and the majority of UEDVTs were treated even in the absence of concurrent LEDVT or PE. As we move toward an era of increasing accountability, with a focus on preventing hospital‐acquired conditions including VTE, additional research is needed to identify modifiable risks, explore opportunities for effective prevention, and optimize outcomes such as prevention of complications or readmissions, particularly in critically ill patients with UEDVT.
Acknowledgements
The authors would like to thank Ronald Pergamit and Kevin Middleton for their extraordinary creativity and expert programming.
- Upper‐extremity deep vein thrombosis: a prospective registry of 592 patients. Circulation. 2004;110(12):1605–1611. , , , .
- Clinical outcome of patients with upper‐extremity deep vein thrombosis: results from the RIETE Registry. Chest. 2008;133(1):143–148. , , , et al.
- The risk factors and clinical outcomes of upper extremity deep vein thrombosis. Vasc Endovascular Surg. 2012;46(2):139–144. , , .
- Upper extremity versus lower extremity deep venous thrombosis. Am J Surg. 1997;174(2):214–217. , , , et al.
- Upper‐extremity deep vein thrombosis. Circulation. 2002;106(14):1874–1880. , .
- Upper extremity deep vein thrombosis: a community‐based perspective. Am J Med. 2007;120(8):678–684. , , , .
- Derivation and validation of a simple model to identify venous thromboembolism risk in medical patients. Am J Med. 2011;124(10):947–954.e2. , , , et al.
- Risk of venous thromboembolism in hospitalized patients with peripherally inserted central catheters. J Hosp Med. 2009;4(7):417–422. , , , , .
- Characterization and probability of upper extremity deep venous thrombosis. Ann Vasc Surg. 2004;18(5):552–557. , , , , .
- Risk factors for mortality in patients with upper extremity and internal jugular deep venous thrombosis. J Vasc Surg. 2005;41(3):476–478. , , , et al.
- Risk of symptomatic DVT associated with peripherally inserted central catheters. Chest. 2010;138(4):803–810. , , , et al.
- The long term clinical course of acute deep vein thrombosis of the arm: prospective cohort study. BMJ. 2004;329(7464):484–485. , , , et al.
- Antithrombotic therapy for VTE disease: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence‐Based Clinical Practice Guidelines. Chest. 2012;141(2 suppl):e419S–e494S. , , , et al.
- Introduction to the ninth edition: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence‐Based Clinical Practice Guidelines. Chest. 2012;141(2 suppl):48S–52S. , , , , , .
- Clinical practice. Deep‐vein thrombosis of the upper extremities. N Engl J Med. 2011;364(9):861–869. .
- Diagnosis and management of upper extremity deep‐vein thrombosis in adults. Thromb Haemost. 2012;108(6):1097–1108. , , , et al.
- Treatment of upper‐extremity deep vein thrombosis. J Thromb Haemost. 2011;9(10):1924–1930. , , .
Increasingly, there is a focus on prevention of hospital‐acquired conditions including venous thromboembolism (VTE). Many studies have evaluated pulmonary embolism (PE) and lower extremity deep vein thrombosis (LEDVT), but despite increasing recognition of upper extremity deep vein thrombosis (UEDVT),[1, 2, 3, 4] less is known about this condition in hospitalized patients.
UEDVTs may be classified as primary, including disorders such as Paget‐Schroetter syndrome or other structural abnormality, or may be idiopathic; the majority are secondary clots.[5] Conventional risk factors for LEDVT including older age and obesity have been found to be less commonly associated,[1, 2, 5, 6, 7] and patients with UEDVT are generally younger, leaner, and a higher proportion are men. They are more likely to have malignancy or history of VTE and have undergone recent surgery or intensive care unit stay.[1, 2, 6] Central venous catheters (CVCs), often used in hospitalized patients, remain among the biggest known risks for UEDVT[1, 2, 3, 7, 8, 9, 10]; concomitant malignancy, VTE history, severe infection, surgery lasting >1 hour, and length of stay (LOS) >10 days confer additional risks with CVCs.[6, 7, 8, 11]
UEDVTs, once thought to be relatively benign, are now recognized to result in complications including PE, progression, recurrence, and post‐thrombotic syndrome.[2, 4, 12, 13] Despite extensive efforts to increase appropriate VTE prophylaxis in inpatients,[14] the role of chemoprophylaxis to prevent UEDVT remains undefined. Current guidelines recommend anticoagulation for treatment and complication prevention,[13, 15] but to date the evidence derives largely from observational studies or is extrapolated from the LEDVT literature.[2, 13]
To improve understanding of UEDVT at our institution, we set out to (1) determine UEDVT incidence in hospitalized patients, (2) describe associated risks and outcomes, and (3) assess management during hospitalization and at discharge.
METHODS
We identified all consecutive adult patients diagnosed with Doppler ultrasound‐confirmed UEDVT during hospitalization at Harborview Medical Center between September 2011 and November 2012. For patients who were readmitted during the study period, the first of their hospitalizations was used to describe associated factors, management, and outcomes. We present characteristics of all other hospitalizations during this time period for comparison. Harborview is a 413‐bed academic tertiary referral center and the only level 1 trauma center in a 5‐state area. Patients with UEDVT were identified using an information technology (IT) tool (the Harborview VTE tool) (Figure 1), which captures VTE events from vascular laboratory and radiology studies using natural language processing. Doppler ultrasound to assess for deep vein thrombosis (DVT) and computed tomographic scans to diagnose PE were ordered by inpatient physicians for symptomatic patients. The reason for obtaining the study is included in the ultrasound reports. We do not routinely screen for UEDVT at our institution. UEDVT included clots in the deep veins of the upper extremities including internal jugular, subclavian, axillary, and brachial veins. Superficial thrombosis and thrombophlebitis were excluded. We previously compared VTE events captured by this tool with administrative billing data and found that all VTE events that were coded were captured with the tool.

The VTE tool (Figure 1) displays imaging results together with demographic, clinical, and medication data and links this information with admission, discharge, and death summaries as well as CVC insertion procedure notes from the electronic health record (EHR). Additional data, including comorbid conditions, primary reason for hospitalization, past medical history such as prior VTE events, and cause of death (if not available in the admission note or discharge/death summaries), were obtained from EHR abstraction by 1 of the investigators. A 10% random sample of charts was rereviewed by another investigator with complete concordance. Supplementary data about date of CVC insertion if placed at an outside facility, date of CVC removal if applicable, clinical assessments regarding whether a clot was CVC‐associated, and contraindications to therapeutic anticoagulation were also abstracted directly from the EHR. Administrative data were used to identify the case mix index, an indicator of severity of illness.
Pharmacologic VTE prophylaxis included all chemical prophylaxis specified on our institutional guideline, most commonly subcutaneous unfractionated heparin 5000 units every 8 hours or low molecular weight heparin (LMWH), either enoxaparin 40 mg every 12 or 24 hours or dalteparin 5000 units every 24 hours. Mechanical prophylaxis was defined as use of sequential compression devices (SCDs) when pharmacologic prophylaxis was contraindicated. Prophylaxis was considered to be appropriate if it was applied according to our guideline for >90% of hospital days prior to UEDVT diagnosis. Therapeutic anticoagulation included heparin bridging (most commonly continuous heparin infusion, LMWH 1 mg/kg or dalteparin) as well as oral vitamin K antagonists. The VTE tool (Figure 1) allows identification of pharmacologic prophylaxis and therapy that is actually administered (not just ordered) directly from our pharmacy IT system. SCD application (not just ordered SCDs) is electronically integrated into the tool from nursing documentation.
CVCs included internal jugular or subclavian triple lumen catheters, tunneled dialysis catheters, or peripherally inserted central catheters (PICCs), single or double lumen. Criteria used to identify that a UEDVT was CVC‐associated included temporal relationship (CVC was placed prior to clot diagnosis), plausibility (ipsilateral clot), evidence of clot surrounding CVC on ultrasound, and physician designation of association (as documented in progress notes or discharge summary).
Simple percentages of patient characteristics, associated factors, management, and outcomes were calculated using counts as the numerator and number of patients as the denominator. For information about UEDVTs, we used total number of UEDVTs as the denominator. Line days were day counts from insertion until removal if applicable. The CVC placement date was available in our mandated central line placement procedure notes (directly accessed from the VTE tool) for all lines placed at our institution; date of removal (if applicable) was determined from chart abstraction. For the vast majority of patients whose CVCs were placed at outside facilities, date of placement was available in the EHR (often in the admission note or in the ultrasound report/reason for study). If date of line placement at an outside facility was not known, date of admission was used. The University of Washington Human Subjects Board approved this review.
RESULTS
General Characteristics
Fifty inpatients were diagnosed with 76 UEDVTs during 53 hospitalizations. Three patients were admitted twice during the study period. Their first admission is used for the purposes of this review. None of these 3 patients had new UEDVTs diagnosed during their second admission.
The patients' mean age was 49 years (standard deviation [SD] 15.6; range, 2482 years) vs 50.9 years (SD 17.49; range, 18112 years) among all other hospitalizations during this time (Table 1). Seventy percent (35) of patients with UEDVT were men. Sixteen percent (8) of patients with UEDVT had known VTE history, 20% (10) of patients had malignancy, and 22% (11) of patients had stage V chronic kidney disease or were hemodialysis dependent.
Characteristic | Patients With UEDVT, N=50 | All Hospitalizations, N=23,407a |
---|---|---|
| ||
Age, y, mean (range) | 49 (2482) | 51 (18112) |
Sex, % male (no.) | 70% (35) | 63% (14,746) |
Case mix index, mean (range) | 4.78 (0.6917.99) | 1.87 (0.1626.34) |
Length of stay, d, mean (range) | 24.6 (291) | 7.2 (1178) |
Transfer from outside hospital (no.) | 50% (25) | 25% (5,866) |
Intensive care unit stay (no.) | 46% (23) | 36% (8,356) |
Operative procedure (no.) | 46% (23) | 41% (9,706) |
In‐hospital mortality (no.) | 10% (5) | 4% (842) |
Discharge to skilled nursing facility or other hospital, n=45 surviving patients (no.) | 62% (28) | 13% (3,095) |
30‐day readmission, n=45 surviving patients (no.) | 18% (8) | 5% (1,167) |
Patients diagnosed with UEDVT had complex illness, long LOS, and were often transferred from outside hospitals relative to other hospitalizations during this time period (Table 1). Slightly more required intensive care and underwent surgery. Eighty‐four percent (42) of patients with UEDVT required CVCs during hospitalization. Among patients whose UEDVT was not present on admission, 94% received appropriate VTE prophylaxis prior to UEDVT diagnosis.
In patients with UEDVT, the most common reasons for hospitalization were sepsis/severe infection (43%), cerebral hemorrhage (16%), and trauma (8%). Primary service at diagnosis was medicine 56.9%, surgery 25.5%, and neurosciences 17.6%.
Upper Extremity Deep Vein Thromboses
Fifty patients were diagnosed with 76 UEDVTs during their hospitalizations. In 40% (20) of patients, UEDVTs were present in >1 upper extremity deep vein; concurrent LEDVT was present in 26% (13) and PE in 10% (5). The majority of UEDVTs were found in internal jugular veins, followed by brachial and axillary veins. Seventeen percent were present on admission. Upper extremity swelling was the most common sign/symptom and reason for study. Characteristics of UEDVTs diagnosed are listed in Table 2.
Characteristic | % UEDVTs (No.), n=76 |
---|---|
| |
Anatomic site | |
Internal jugular | 38% (29) |
Axillary | 21% (16) |
Subclavian/axillary | 9% (7) |
Subclavian | 7% (5) |
Brachial | 25% (19) |
Hospital day of diagnosis, d, mean (range) | 9.2 (044) |
Present on admission | 17% (13) |
Diagnosed at outside hospital or within 24 hours of transfer | 54% (7) |
Diagnosed during prior hospitalization at our institution | 15% (2) |
Diagnosed within 24 hours of admission via our emergency department | 23% (3) |
Patient‐reported chronic UEDVT | 8% (1) |
Primary UEDVT/anatomic anomaly | 0% (0) |
Signs and symptoms (reasons for obtaining study) | |
Upper extremity swelling | 71% (54) |
Presence of clot elsewhere (eg, pulmonary embolism) | 9% (7) |
Inability to place central venous access | 8% (6) |
Assessment of clot propagation (known clot) | 8% (6) |
Pain | 3% (2) |
Patient‐reported history | 1% (1) |
Of the 50 patients diagnosed with UEDVT during hospitalization, 44% (22) were found to have UEDVTs directly associated with a CVC. Forty‐two of the 50 patients had a CVC; 52% (22 of 42) had CVC‐associated UEDVTs. Fifty percent (11) of these CVCs were triple lumen catheters, 32% (7) were PICCs, and 18% (4) were tunneled dialysis lines. Three of 42 patients with CVCs and line‐associated clots were had a malignancy. For patients with CVC‐associated clot, lines were in place for an average of 14.3 days (range, 273 days) prior to UEDVT diagnosis.
Treatment and Management
Seventy‐eight percent (39) of patients with UEDVT received in‐hospital treatment with heparin/LMWH bridging and oral anticoagulation. Of the 45 patients who survived hospitalization, 75% (34) were prescribed anticoagulation for 3+ months at discharge; 23% (10) had documented contraindications to anticoagulation, most commonly recent gastrointestinal or intracranial bleeding. Two percent of patients (1) was not prescribed pharmacologic treatment at discharge and had no contraindications documented. No patients underwent thrombolysis or had superior vena cava filters placed. Sixty‐four percent (14 of 22) of CVCs that were thought to be directly associated with UEDVT were removed at diagnosis.
Outcomes
Five patients (10%) died during hospitalization, none because of VTE or complications thereof. Cause of death included septic shock, cancer, intracranial hemorrhage, heart failure, and recurrent gastrointestinal bleeding. Of the 45 surviving patients, only 38% (17) were discharged to self‐care; more than half (62%[28]) were discharged to skilled nursing facilities, other hospitals, or rehabilitation centers. Eight patients (18%) were readmitted to our institution within 30 days; none for recurrent or new DVT or PE. No additional patients died at our medical center within 30 days of discharge.
DISCUSSION
UEDVT is increasingly recognized in hospitalized patients.[3, 9] At our medical center, 0.2% of symptomatic inpatients were diagnosed with UEDVT over 14 months. These patients were predominantly men with high rates of CVCs, malignancy, VTE history, severe infection, and renal disease. Interestingly, although the literature suggests that some proportion of patients with UEDVT have anatomic abnormalities, such as Paget‐Schroetter syndrome,[15] none of the patients in our study were found to have these anomalies. In our review, hospitalized patients with UEDVT were critically ill, with a long LOS and high morbidity and mortality, suggesting that in addition to just being a complication of hospitalization,[1, 6] UEDVT may be a marker of severe illness.
In our institution, clinical presentation was consistent with what has been described with the majority of patients presenting with upper extremity swelling.[1, 3] The internal jugular veins were the most common anatomic UEDVT site, followed by brachial then axillary veins. In other series including both in‐ and outpatients, subclavian clots were most commonly diagnosed, reflecting in part higher rates of CVC association and CVC location in those studies.[3, 9] Concurrent DVT and PE rates were similar to those reported.[1, 3, 10]
Although many studies have focused on prevention of LEDVT and PE, few trials have specifically targeted UEDVT. Among our patients with UEDVTs that were not present on admission, VTE prophylaxis rates were considerably higher than what has been reported,[1, 6] suggesting that in these critically ill patients' prophylaxis may not prevent symptomatic UEDVT. It is unknown how many UEDVTs were prevented with prophylaxis, as only patients with symptomatic UEDVT were included. Adequacy of prophylaxis at outside hospitals for patients transferred in could not be assessed. Nonetheless, low numbers of UEDVT at a trauma referral center with many high‐risk patients raise the question of whether prophylaxis makes a difference. Additional study is needed to further define the role of chemoprophylaxis to prevent UEDVT in hospitalized patients.
In our inpatient group, 84% required CVCs; 44% of patients were thought to have CVC‐associated UEDVTs. Careful patient selection and attention to potentially modifiable risks, such as insertion site, catheter type, and tip position, may need further examination in this population.[3, 11, 16] Catheter duration was long; focus on removing CVCs when no longer necessary is important. Interestingly, almost 10% in our study underwent diagnostic ultrasound because a new CVC could not be successfully placed suggesting that UEDVT may develop in critically ill patients regardless of CVCs.
In our study, there were high rates of guideline‐recommended pharmacologic treatment; surprisingly the majority of CVCs with associated clot were removed. Guidelines currently support 3 months of anticoagulation for treatment of UEDVT[2, 13, 17]; evidence derives from observational trials or is largely extrapolated from LEDVT literature.[2, 13] Routine CVC removal is not specifically recommended for CVC‐associated UEDVT, particularly if lines remain functional and medically necessary; systemic anticoagulation should be provided.[13]
In our review, no hospitalized patients with UEDVT developed complications or were readmitted to our medical center within 30 days for clot progression, new PE, or post‐thrombotic syndrome, which is lower than rates reported over longer time periods.[2, 6, 10, 12] Ten percent died during hospitalization, all from their primary disease rather than from complications of VTE or VTE treatment, and no additional patients died at our institution within 30 days. Although these rates are lower than have been otherwise reported,[2, 10] the inpatient mortality rate is similar to a recent study that included inpatients; however, all patients who died in that study had cancer and CVCs.[3] In the latter study, 6.4% died within 30 days of discharge.
Limitations
There are several limitations to this study. It was conducted at a single academic referral center with a large and critically ill trauma and neurosciences population, thereby limiting generalizability. This study describes hospitalized patients at a tertiary care center who were diagnosed with UEDVT. For comparison, we obtained information regarding characteristics of hospitalization for all other inpatients during this time frame. Individuals may have had multiple hospitalizations during the study period, but because we were unable to identify information about individuals, direct statistical comparisons could not be made. However, in general, inpatients with UEDVT appeared to be sicker, with prolonged LOS and high in‐hospital mortality relative to other hospitalized patients.
Only symptomatic UEDVT events were captured, likely underestimating true UEDVT incidence. In addition, we defined UEDVTs as those diagnosed by Doppler ultrasound; therefore theoretically, UEDVTs that were more centrally located or diagnosed using another modality would not be represented here. However, in a prior internal review we found that all VTE events coded in billing data during this time period were identified using our operational definition.
In our study, VTE prophylaxis was administered in accordance with an institutional guideline. We did not have information regarding adequacy of prophylaxis at outside institutions for patients transferred in, and patients admitted through the emergency department likely were not on prophylaxis. Therefore, information about prophylaxis is limited to prophylaxis administered at our medical center for hospitalized patients who had UEDVTs not present on admission.
Information regarding CVC insertion date and CVC type for CVCs placed in our institution is accurate based on our internal reviews. Although we had reasonable capture of information about CVC placement at outside facilities, these data may be incomplete, thereby underestimating potential association of CVCs with UEDVTs identified in our hospitalized patients. Additionally, criteria used to assess association of a CVC with UEDVT may have led to underrepresentation of CVC‐associated UEDVT.
Management of UEDVT in this study was determined by the treating physicians, and patients were only followed for 30 days after discharge. Information about readmission or death within 30 days of discharge was limited to patient contact with our medical center only. Treatment at discharge was determined from the discharge summary. Therefore, compliance with treatment cannot be assessed. Although these factors may limit the nature of the conclusions, data reflect actual practice and experience in hospitalized patients with UEDVT and may be hypothesis generating.
CONCLUSIONS
Among hospitalized patients, UEDVT is increasingly recognized. In our medical center, hospitalized patients diagnosed with UEDVT were more likely to have CVCs, malignancy, renal disease, and severe infection. Many of these patients were transferred critically ill, had prolonged LOS, and had high in‐hospital mortality. Most developed UEDVT despite prophylaxis, and the majority of UEDVTs were treated even in the absence of concurrent LEDVT or PE. As we move toward an era of increasing accountability, with a focus on preventing hospital‐acquired conditions including VTE, additional research is needed to identify modifiable risks, explore opportunities for effective prevention, and optimize outcomes such as prevention of complications or readmissions, particularly in critically ill patients with UEDVT.
Acknowledgements
The authors would like to thank Ronald Pergamit and Kevin Middleton for their extraordinary creativity and expert programming.
Increasingly, there is a focus on prevention of hospital‐acquired conditions including venous thromboembolism (VTE). Many studies have evaluated pulmonary embolism (PE) and lower extremity deep vein thrombosis (LEDVT), but despite increasing recognition of upper extremity deep vein thrombosis (UEDVT),[1, 2, 3, 4] less is known about this condition in hospitalized patients.
UEDVTs may be classified as primary, including disorders such as Paget‐Schroetter syndrome or other structural abnormality, or may be idiopathic; the majority are secondary clots.[5] Conventional risk factors for LEDVT including older age and obesity have been found to be less commonly associated,[1, 2, 5, 6, 7] and patients with UEDVT are generally younger, leaner, and a higher proportion are men. They are more likely to have malignancy or history of VTE and have undergone recent surgery or intensive care unit stay.[1, 2, 6] Central venous catheters (CVCs), often used in hospitalized patients, remain among the biggest known risks for UEDVT[1, 2, 3, 7, 8, 9, 10]; concomitant malignancy, VTE history, severe infection, surgery lasting >1 hour, and length of stay (LOS) >10 days confer additional risks with CVCs.[6, 7, 8, 11]
UEDVTs, once thought to be relatively benign, are now recognized to result in complications including PE, progression, recurrence, and post‐thrombotic syndrome.[2, 4, 12, 13] Despite extensive efforts to increase appropriate VTE prophylaxis in inpatients,[14] the role of chemoprophylaxis to prevent UEDVT remains undefined. Current guidelines recommend anticoagulation for treatment and complication prevention,[13, 15] but to date the evidence derives largely from observational studies or is extrapolated from the LEDVT literature.[2, 13]
To improve understanding of UEDVT at our institution, we set out to (1) determine UEDVT incidence in hospitalized patients, (2) describe associated risks and outcomes, and (3) assess management during hospitalization and at discharge.
METHODS
We identified all consecutive adult patients diagnosed with Doppler ultrasound‐confirmed UEDVT during hospitalization at Harborview Medical Center between September 2011 and November 2012. For patients who were readmitted during the study period, the first of their hospitalizations was used to describe associated factors, management, and outcomes. We present characteristics of all other hospitalizations during this time period for comparison. Harborview is a 413‐bed academic tertiary referral center and the only level 1 trauma center in a 5‐state area. Patients with UEDVT were identified using an information technology (IT) tool (the Harborview VTE tool) (Figure 1), which captures VTE events from vascular laboratory and radiology studies using natural language processing. Doppler ultrasound to assess for deep vein thrombosis (DVT) and computed tomographic scans to diagnose PE were ordered by inpatient physicians for symptomatic patients. The reason for obtaining the study is included in the ultrasound reports. We do not routinely screen for UEDVT at our institution. UEDVT included clots in the deep veins of the upper extremities including internal jugular, subclavian, axillary, and brachial veins. Superficial thrombosis and thrombophlebitis were excluded. We previously compared VTE events captured by this tool with administrative billing data and found that all VTE events that were coded were captured with the tool.

The VTE tool (Figure 1) displays imaging results together with demographic, clinical, and medication data and links this information with admission, discharge, and death summaries as well as CVC insertion procedure notes from the electronic health record (EHR). Additional data, including comorbid conditions, primary reason for hospitalization, past medical history such as prior VTE events, and cause of death (if not available in the admission note or discharge/death summaries), were obtained from EHR abstraction by 1 of the investigators. A 10% random sample of charts was rereviewed by another investigator with complete concordance. Supplementary data about date of CVC insertion if placed at an outside facility, date of CVC removal if applicable, clinical assessments regarding whether a clot was CVC‐associated, and contraindications to therapeutic anticoagulation were also abstracted directly from the EHR. Administrative data were used to identify the case mix index, an indicator of severity of illness.
Pharmacologic VTE prophylaxis included all chemical prophylaxis specified on our institutional guideline, most commonly subcutaneous unfractionated heparin 5000 units every 8 hours or low molecular weight heparin (LMWH), either enoxaparin 40 mg every 12 or 24 hours or dalteparin 5000 units every 24 hours. Mechanical prophylaxis was defined as use of sequential compression devices (SCDs) when pharmacologic prophylaxis was contraindicated. Prophylaxis was considered to be appropriate if it was applied according to our guideline for >90% of hospital days prior to UEDVT diagnosis. Therapeutic anticoagulation included heparin bridging (most commonly continuous heparin infusion, LMWH 1 mg/kg or dalteparin) as well as oral vitamin K antagonists. The VTE tool (Figure 1) allows identification of pharmacologic prophylaxis and therapy that is actually administered (not just ordered) directly from our pharmacy IT system. SCD application (not just ordered SCDs) is electronically integrated into the tool from nursing documentation.
CVCs included internal jugular or subclavian triple lumen catheters, tunneled dialysis catheters, or peripherally inserted central catheters (PICCs), single or double lumen. Criteria used to identify that a UEDVT was CVC‐associated included temporal relationship (CVC was placed prior to clot diagnosis), plausibility (ipsilateral clot), evidence of clot surrounding CVC on ultrasound, and physician designation of association (as documented in progress notes or discharge summary).
Simple percentages of patient characteristics, associated factors, management, and outcomes were calculated using counts as the numerator and number of patients as the denominator. For information about UEDVTs, we used total number of UEDVTs as the denominator. Line days were day counts from insertion until removal if applicable. The CVC placement date was available in our mandated central line placement procedure notes (directly accessed from the VTE tool) for all lines placed at our institution; date of removal (if applicable) was determined from chart abstraction. For the vast majority of patients whose CVCs were placed at outside facilities, date of placement was available in the EHR (often in the admission note or in the ultrasound report/reason for study). If date of line placement at an outside facility was not known, date of admission was used. The University of Washington Human Subjects Board approved this review.
RESULTS
General Characteristics
Fifty inpatients were diagnosed with 76 UEDVTs during 53 hospitalizations. Three patients were admitted twice during the study period. Their first admission is used for the purposes of this review. None of these 3 patients had new UEDVTs diagnosed during their second admission.
The patients' mean age was 49 years (standard deviation [SD] 15.6; range, 2482 years) vs 50.9 years (SD 17.49; range, 18112 years) among all other hospitalizations during this time (Table 1). Seventy percent (35) of patients with UEDVT were men. Sixteen percent (8) of patients with UEDVT had known VTE history, 20% (10) of patients had malignancy, and 22% (11) of patients had stage V chronic kidney disease or were hemodialysis dependent.
Characteristic | Patients With UEDVT, N=50 | All Hospitalizations, N=23,407a |
---|---|---|
| ||
Age, y, mean (range) | 49 (2482) | 51 (18112) |
Sex, % male (no.) | 70% (35) | 63% (14,746) |
Case mix index, mean (range) | 4.78 (0.6917.99) | 1.87 (0.1626.34) |
Length of stay, d, mean (range) | 24.6 (291) | 7.2 (1178) |
Transfer from outside hospital (no.) | 50% (25) | 25% (5,866) |
Intensive care unit stay (no.) | 46% (23) | 36% (8,356) |
Operative procedure (no.) | 46% (23) | 41% (9,706) |
In‐hospital mortality (no.) | 10% (5) | 4% (842) |
Discharge to skilled nursing facility or other hospital, n=45 surviving patients (no.) | 62% (28) | 13% (3,095) |
30‐day readmission, n=45 surviving patients (no.) | 18% (8) | 5% (1,167) |
Patients diagnosed with UEDVT had complex illness, long LOS, and were often transferred from outside hospitals relative to other hospitalizations during this time period (Table 1). Slightly more required intensive care and underwent surgery. Eighty‐four percent (42) of patients with UEDVT required CVCs during hospitalization. Among patients whose UEDVT was not present on admission, 94% received appropriate VTE prophylaxis prior to UEDVT diagnosis.
In patients with UEDVT, the most common reasons for hospitalization were sepsis/severe infection (43%), cerebral hemorrhage (16%), and trauma (8%). Primary service at diagnosis was medicine 56.9%, surgery 25.5%, and neurosciences 17.6%.
Upper Extremity Deep Vein Thromboses
Fifty patients were diagnosed with 76 UEDVTs during their hospitalizations. In 40% (20) of patients, UEDVTs were present in >1 upper extremity deep vein; concurrent LEDVT was present in 26% (13) and PE in 10% (5). The majority of UEDVTs were found in internal jugular veins, followed by brachial and axillary veins. Seventeen percent were present on admission. Upper extremity swelling was the most common sign/symptom and reason for study. Characteristics of UEDVTs diagnosed are listed in Table 2.
Characteristic | % UEDVTs (No.), n=76 |
---|---|
| |
Anatomic site | |
Internal jugular | 38% (29) |
Axillary | 21% (16) |
Subclavian/axillary | 9% (7) |
Subclavian | 7% (5) |
Brachial | 25% (19) |
Hospital day of diagnosis, d, mean (range) | 9.2 (044) |
Present on admission | 17% (13) |
Diagnosed at outside hospital or within 24 hours of transfer | 54% (7) |
Diagnosed during prior hospitalization at our institution | 15% (2) |
Diagnosed within 24 hours of admission via our emergency department | 23% (3) |
Patient‐reported chronic UEDVT | 8% (1) |
Primary UEDVT/anatomic anomaly | 0% (0) |
Signs and symptoms (reasons for obtaining study) | |
Upper extremity swelling | 71% (54) |
Presence of clot elsewhere (eg, pulmonary embolism) | 9% (7) |
Inability to place central venous access | 8% (6) |
Assessment of clot propagation (known clot) | 8% (6) |
Pain | 3% (2) |
Patient‐reported history | 1% (1) |
Of the 50 patients diagnosed with UEDVT during hospitalization, 44% (22) were found to have UEDVTs directly associated with a CVC. Forty‐two of the 50 patients had a CVC; 52% (22 of 42) had CVC‐associated UEDVTs. Fifty percent (11) of these CVCs were triple lumen catheters, 32% (7) were PICCs, and 18% (4) were tunneled dialysis lines. Three of 42 patients with CVCs and line‐associated clots were had a malignancy. For patients with CVC‐associated clot, lines were in place for an average of 14.3 days (range, 273 days) prior to UEDVT diagnosis.
Treatment and Management
Seventy‐eight percent (39) of patients with UEDVT received in‐hospital treatment with heparin/LMWH bridging and oral anticoagulation. Of the 45 patients who survived hospitalization, 75% (34) were prescribed anticoagulation for 3+ months at discharge; 23% (10) had documented contraindications to anticoagulation, most commonly recent gastrointestinal or intracranial bleeding. Two percent of patients (1) was not prescribed pharmacologic treatment at discharge and had no contraindications documented. No patients underwent thrombolysis or had superior vena cava filters placed. Sixty‐four percent (14 of 22) of CVCs that were thought to be directly associated with UEDVT were removed at diagnosis.
Outcomes
Five patients (10%) died during hospitalization, none because of VTE or complications thereof. Cause of death included septic shock, cancer, intracranial hemorrhage, heart failure, and recurrent gastrointestinal bleeding. Of the 45 surviving patients, only 38% (17) were discharged to self‐care; more than half (62%[28]) were discharged to skilled nursing facilities, other hospitals, or rehabilitation centers. Eight patients (18%) were readmitted to our institution within 30 days; none for recurrent or new DVT or PE. No additional patients died at our medical center within 30 days of discharge.
DISCUSSION
UEDVT is increasingly recognized in hospitalized patients.[3, 9] At our medical center, 0.2% of symptomatic inpatients were diagnosed with UEDVT over 14 months. These patients were predominantly men with high rates of CVCs, malignancy, VTE history, severe infection, and renal disease. Interestingly, although the literature suggests that some proportion of patients with UEDVT have anatomic abnormalities, such as Paget‐Schroetter syndrome,[15] none of the patients in our study were found to have these anomalies. In our review, hospitalized patients with UEDVT were critically ill, with a long LOS and high morbidity and mortality, suggesting that in addition to just being a complication of hospitalization,[1, 6] UEDVT may be a marker of severe illness.
In our institution, clinical presentation was consistent with what has been described with the majority of patients presenting with upper extremity swelling.[1, 3] The internal jugular veins were the most common anatomic UEDVT site, followed by brachial then axillary veins. In other series including both in‐ and outpatients, subclavian clots were most commonly diagnosed, reflecting in part higher rates of CVC association and CVC location in those studies.[3, 9] Concurrent DVT and PE rates were similar to those reported.[1, 3, 10]
Although many studies have focused on prevention of LEDVT and PE, few trials have specifically targeted UEDVT. Among our patients with UEDVTs that were not present on admission, VTE prophylaxis rates were considerably higher than what has been reported,[1, 6] suggesting that in these critically ill patients' prophylaxis may not prevent symptomatic UEDVT. It is unknown how many UEDVTs were prevented with prophylaxis, as only patients with symptomatic UEDVT were included. Adequacy of prophylaxis at outside hospitals for patients transferred in could not be assessed. Nonetheless, low numbers of UEDVT at a trauma referral center with many high‐risk patients raise the question of whether prophylaxis makes a difference. Additional study is needed to further define the role of chemoprophylaxis to prevent UEDVT in hospitalized patients.
In our inpatient group, 84% required CVCs; 44% of patients were thought to have CVC‐associated UEDVTs. Careful patient selection and attention to potentially modifiable risks, such as insertion site, catheter type, and tip position, may need further examination in this population.[3, 11, 16] Catheter duration was long; focus on removing CVCs when no longer necessary is important. Interestingly, almost 10% in our study underwent diagnostic ultrasound because a new CVC could not be successfully placed suggesting that UEDVT may develop in critically ill patients regardless of CVCs.
In our study, there were high rates of guideline‐recommended pharmacologic treatment; surprisingly the majority of CVCs with associated clot were removed. Guidelines currently support 3 months of anticoagulation for treatment of UEDVT[2, 13, 17]; evidence derives from observational trials or is largely extrapolated from LEDVT literature.[2, 13] Routine CVC removal is not specifically recommended for CVC‐associated UEDVT, particularly if lines remain functional and medically necessary; systemic anticoagulation should be provided.[13]
In our review, no hospitalized patients with UEDVT developed complications or were readmitted to our medical center within 30 days for clot progression, new PE, or post‐thrombotic syndrome, which is lower than rates reported over longer time periods.[2, 6, 10, 12] Ten percent died during hospitalization, all from their primary disease rather than from complications of VTE or VTE treatment, and no additional patients died at our institution within 30 days. Although these rates are lower than have been otherwise reported,[2, 10] the inpatient mortality rate is similar to a recent study that included inpatients; however, all patients who died in that study had cancer and CVCs.[3] In the latter study, 6.4% died within 30 days of discharge.
Limitations
There are several limitations to this study. It was conducted at a single academic referral center with a large and critically ill trauma and neurosciences population, thereby limiting generalizability. This study describes hospitalized patients at a tertiary care center who were diagnosed with UEDVT. For comparison, we obtained information regarding characteristics of hospitalization for all other inpatients during this time frame. Individuals may have had multiple hospitalizations during the study period, but because we were unable to identify information about individuals, direct statistical comparisons could not be made. However, in general, inpatients with UEDVT appeared to be sicker, with prolonged LOS and high in‐hospital mortality relative to other hospitalized patients.
Only symptomatic UEDVT events were captured, likely underestimating true UEDVT incidence. In addition, we defined UEDVTs as those diagnosed by Doppler ultrasound; therefore theoretically, UEDVTs that were more centrally located or diagnosed using another modality would not be represented here. However, in a prior internal review we found that all VTE events coded in billing data during this time period were identified using our operational definition.
In our study, VTE prophylaxis was administered in accordance with an institutional guideline. We did not have information regarding adequacy of prophylaxis at outside institutions for patients transferred in, and patients admitted through the emergency department likely were not on prophylaxis. Therefore, information about prophylaxis is limited to prophylaxis administered at our medical center for hospitalized patients who had UEDVTs not present on admission.
Information regarding CVC insertion date and CVC type for CVCs placed in our institution is accurate based on our internal reviews. Although we had reasonable capture of information about CVC placement at outside facilities, these data may be incomplete, thereby underestimating potential association of CVCs with UEDVTs identified in our hospitalized patients. Additionally, criteria used to assess association of a CVC with UEDVT may have led to underrepresentation of CVC‐associated UEDVT.
Management of UEDVT in this study was determined by the treating physicians, and patients were only followed for 30 days after discharge. Information about readmission or death within 30 days of discharge was limited to patient contact with our medical center only. Treatment at discharge was determined from the discharge summary. Therefore, compliance with treatment cannot be assessed. Although these factors may limit the nature of the conclusions, data reflect actual practice and experience in hospitalized patients with UEDVT and may be hypothesis generating.
CONCLUSIONS
Among hospitalized patients, UEDVT is increasingly recognized. In our medical center, hospitalized patients diagnosed with UEDVT were more likely to have CVCs, malignancy, renal disease, and severe infection. Many of these patients were transferred critically ill, had prolonged LOS, and had high in‐hospital mortality. Most developed UEDVT despite prophylaxis, and the majority of UEDVTs were treated even in the absence of concurrent LEDVT or PE. As we move toward an era of increasing accountability, with a focus on preventing hospital‐acquired conditions including VTE, additional research is needed to identify modifiable risks, explore opportunities for effective prevention, and optimize outcomes such as prevention of complications or readmissions, particularly in critically ill patients with UEDVT.
Acknowledgements
The authors would like to thank Ronald Pergamit and Kevin Middleton for their extraordinary creativity and expert programming.
- Upper‐extremity deep vein thrombosis: a prospective registry of 592 patients. Circulation. 2004;110(12):1605–1611. , , , .
- Clinical outcome of patients with upper‐extremity deep vein thrombosis: results from the RIETE Registry. Chest. 2008;133(1):143–148. , , , et al.
- The risk factors and clinical outcomes of upper extremity deep vein thrombosis. Vasc Endovascular Surg. 2012;46(2):139–144. , , .
- Upper extremity versus lower extremity deep venous thrombosis. Am J Surg. 1997;174(2):214–217. , , , et al.
- Upper‐extremity deep vein thrombosis. Circulation. 2002;106(14):1874–1880. , .
- Upper extremity deep vein thrombosis: a community‐based perspective. Am J Med. 2007;120(8):678–684. , , , .
- Derivation and validation of a simple model to identify venous thromboembolism risk in medical patients. Am J Med. 2011;124(10):947–954.e2. , , , et al.
- Risk of venous thromboembolism in hospitalized patients with peripherally inserted central catheters. J Hosp Med. 2009;4(7):417–422. , , , , .
- Characterization and probability of upper extremity deep venous thrombosis. Ann Vasc Surg. 2004;18(5):552–557. , , , , .
- Risk factors for mortality in patients with upper extremity and internal jugular deep venous thrombosis. J Vasc Surg. 2005;41(3):476–478. , , , et al.
- Risk of symptomatic DVT associated with peripherally inserted central catheters. Chest. 2010;138(4):803–810. , , , et al.
- The long term clinical course of acute deep vein thrombosis of the arm: prospective cohort study. BMJ. 2004;329(7464):484–485. , , , et al.
- Antithrombotic therapy for VTE disease: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence‐Based Clinical Practice Guidelines. Chest. 2012;141(2 suppl):e419S–e494S. , , , et al.
- Introduction to the ninth edition: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence‐Based Clinical Practice Guidelines. Chest. 2012;141(2 suppl):48S–52S. , , , , , .
- Clinical practice. Deep‐vein thrombosis of the upper extremities. N Engl J Med. 2011;364(9):861–869. .
- Diagnosis and management of upper extremity deep‐vein thrombosis in adults. Thromb Haemost. 2012;108(6):1097–1108. , , , et al.
- Treatment of upper‐extremity deep vein thrombosis. J Thromb Haemost. 2011;9(10):1924–1930. , , .
- Upper‐extremity deep vein thrombosis: a prospective registry of 592 patients. Circulation. 2004;110(12):1605–1611. , , , .
- Clinical outcome of patients with upper‐extremity deep vein thrombosis: results from the RIETE Registry. Chest. 2008;133(1):143–148. , , , et al.
- The risk factors and clinical outcomes of upper extremity deep vein thrombosis. Vasc Endovascular Surg. 2012;46(2):139–144. , , .
- Upper extremity versus lower extremity deep venous thrombosis. Am J Surg. 1997;174(2):214–217. , , , et al.
- Upper‐extremity deep vein thrombosis. Circulation. 2002;106(14):1874–1880. , .
- Upper extremity deep vein thrombosis: a community‐based perspective. Am J Med. 2007;120(8):678–684. , , , .
- Derivation and validation of a simple model to identify venous thromboembolism risk in medical patients. Am J Med. 2011;124(10):947–954.e2. , , , et al.
- Risk of venous thromboembolism in hospitalized patients with peripherally inserted central catheters. J Hosp Med. 2009;4(7):417–422. , , , , .
- Characterization and probability of upper extremity deep venous thrombosis. Ann Vasc Surg. 2004;18(5):552–557. , , , , .
- Risk factors for mortality in patients with upper extremity and internal jugular deep venous thrombosis. J Vasc Surg. 2005;41(3):476–478. , , , et al.
- Risk of symptomatic DVT associated with peripherally inserted central catheters. Chest. 2010;138(4):803–810. , , , et al.
- The long term clinical course of acute deep vein thrombosis of the arm: prospective cohort study. BMJ. 2004;329(7464):484–485. , , , et al.
- Antithrombotic therapy for VTE disease: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence‐Based Clinical Practice Guidelines. Chest. 2012;141(2 suppl):e419S–e494S. , , , et al.
- Introduction to the ninth edition: Antithrombotic Therapy and Prevention of Thrombosis, 9th ed: American College of Chest Physicians Evidence‐Based Clinical Practice Guidelines. Chest. 2012;141(2 suppl):48S–52S. , , , , , .
- Clinical practice. Deep‐vein thrombosis of the upper extremities. N Engl J Med. 2011;364(9):861–869. .
- Diagnosis and management of upper extremity deep‐vein thrombosis in adults. Thromb Haemost. 2012;108(6):1097–1108. , , , et al.
- Treatment of upper‐extremity deep vein thrombosis. J Thromb Haemost. 2011;9(10):1924–1930. , , .
Hospitalists and Hospital‐Level Outcomes
Since Wachter and Goldman coined the term hospitalist in 1996,[1] the number of hospitalists in the United States has grown rapidly, to more than 30,000 in recent estimates, with at least 80% of hospitals with 200 beds or more having hospital medicine programs.[2] A number of factors have led to the growth of such programs. First, hospital‐level incentives to use hospitalists exist to improve patient flow and maximize bed use, thereby reducing length of stay (LOS) and improving efficiency. Hospitals also employ hospitalists to address limitations on the number of hours that medical residents can work. Second, the use of hospitalists allows primary care physicians (PCPs) to focus their practices on outpatient care, thus avoiding the complexity of hospital‐based medicine, which requires both hospital‐focused clinical skills as well as institutional knowledge. Supporters of the hospitalist movement claim that hospitalists can improve efficiency and quality of care because hospitalists (1) have more experience managing inpatient care, (2) are more available to patients, and (3) have greater commitment to hospital quality improvements than (nonemployed) community PCPs.[3, 4, 5] On the other hand, criticisms of hospitalists include concerns related to (1) discontinuity in care and patient handoffs, (2) patient dissatisfaction at being treated by someone other than their PCP, (3) loss of acute care skills by PCPs, and (4) hospitalist burnout due to large workloads and poor institutional support.[3, 4, 5]
Hospitalists have been shown to have an effect on lowering total patient costs through better resource utilization and reduced LOS.[6, 7, 8, 9] There is no clear agreement, however, that hospitalists more often implement guideline‐recommended care.[10, 11, 12] In fact, most evaluations have found no significant differences between mortality and readmission rates among hospitalist and nonhospitalist groups.[12, 13, 14, 15, 16] The majority of these studies, however, were conducted in individual institutions or with small sample sizes, thus limiting their generalizability.
As 1 of the fastest‐growing medical specialties, hospitalists have assumed a significant role in inpatient care. The Centers for Medicare and Medicaid Services (CMS) have identified heart failure (HF), acute myocardial infarction (AMI), and pneumonia (PN) as important inpatient conditions associated with substantial morbidity and mortality among the Medicare population. Further, Jencks et al.[17] found that nearly one‐fifth of Medicare beneficiaries discharged from a hospital were readmitted within 30 days, which incurred an estimated cost to Medicare of $17.4 billion in 2004. Hospital readmission is of particular importance under healthcare reform because CMS introduced financial penalties in 2013 for hospitals with excessive readmission rates. The reimbursement penalty related to readmissions is included in the Patient Protection and Affordable Care Act and will be gradually expanded across many other outcomes.[18]
METHODS
Data Sources
Using hierarchical, generalized, linear modeling with hospital‐specific random effects, CMS has developed and made publicly available national, hospital‐level data reporting case mix‐adjusted, risk‐standardized, 30‐day all‐cause predicted excess mortality and readmission rates, as measured from the first day of the index inpatient admission. The models produce aggregate hospital‐level predictions of excess mortality and readmissions, as compared to other hospitals with the same case mix.[19, 20] Outcome measures in this study reflect these hospital‐specific, adjusted measures of mortality and readmission. Each of these measures is expressed as a continuous variable of the adjusted number of events within a 30‐day period, analogous to a ratio of observed‐to‐expected outcomes, multiplied by the national rate. Specifically, the numerator is the number of observed events in a 30‐day period based on the hospital's case mix‐adjusted performance, and the denominator is the number of expected events in a 30‐day period based on average national hospital performance with that hospital's case mix. CMS adjusts the measures for case mix to account for important patient‐level, clinically relevant variables such as age, sex, and comorbidities. However, the data do not allow the measures to be further adjusted for admission source, discharge destination, or patient socioeconomic status.[19] CMS also does not report rates for hospitals with fewer than 25 cases for a condition, which could limit the generalizability of our findings with regard to small hospitals or hospitals with only occasional patients discharged with a target condition. Details on specific inclusion/exclusion criteria, model adjustment, and statistical approach used by CMS can be found in their methodology reports.[21, 22]
The 2008 CMS risk‐standardized mortality and readmission measures described above were linked with the 2008 American Hospital Association (AHA) Annual Survey Database, using each hospital's 6‐digit Medicare provider identification number. The AHA Annual Survey Database provides comprehensive hospital‐level data for approximately 6500 US hospitals, including demographics, organizational structure, facilities and services, utilization data, community indicators, physician arrangements, managed care relationships, expenses, and staffing, including employment of hospitalists.[23]
Variables
We used the CMS case mix‐adjusted, risk‐standardized, 30‐day all‐cause predicted excess mortality and readmission measures for HF, AMI, and PN as dependent variables. The primary independent variable was a dichotomous measure of whether or not hospitalists provided care within the hospital. Covariates identified from the literature[11, 23, 24, 25, 26, 27, 28] included hospital and community characteristics, organizational perspective, size, and resources. Models were adjusted for hospital ownership (government, nongovernment nonprofit, investor‐owned for profit), region (Northeast, South, Midwest, West), teaching status, bed size, number of nurses per hospital bed, intensive care unit (ICU) presence (medicalsurgical, cardiac), managed care contracts (health maintenance organization, preferred provider organization), urban/rural setting, and median household income in the hospital county.
Statistical Analysis
Descriptive statistics of the dependent and independent variables illustrated trends across hospitals with and without hospitalists, and bivariate statistics identified differences between the 2 groups. We employed multivariable ordinary least squares (OLS) regression to assess the association between the independent variables and risk‐standardized, 30‐day all‐cause excess mortality and readmission rates at the hospital level. OLS was used because the dependent variables were measured continuously; count models were not appropriate for our analyses, because we did not have access to patient‐level data that could provide person‐days at risk for mortality or readmission. This limitation is mitigated, however, because CMS had already used hierarchical, multivariate, patient‐level models to produce hospital‐specific predictions, which formed the basis of our outcome measures. Six OLS models were run reflecting each of the 6 outcomes of interest: AMI mortality, HF mortality, and PN mortality, and AMI readmission, HF readmission, and PN readmission. All statistical analyses were conducted using Stata version 11 (StataCorp, College Station, TX).
RESULTS
Hospital Characteristics and Descriptive Measures
There were 3029 US hospitals in the final analysis dataset. Of these, 59.3% reported employing hospitalists on staff. Descriptive statistics are shown in Table 1.
Hospitalist Presence, n=1,796, % or Mean (SD) | No Hospitalist Presence, n=1,233, % or Mean (SD) | P Value | |
---|---|---|---|
| |||
Hospital control | <0.001 | ||
Government | 14.8% | 33.3% | |
Nongovernment, nonprofit | 72.9% | 56.8% | |
Investor owned, for profit | 12.4% | 10.0% | |
Bed size | 257 (224) | 94 (106) | <0.001 |
Nurses per inpatient bed | 1.5 (0.6) | 1.1 (0.7) | <0.001 |
Urban | 75.3% | 32.7% | <0.001 |
Rural | 24.7% | 67.3% | |
Region | <0.001 | ||
Northeast | 18.2% | 8.3% | |
South | 40.1% | 33.1% | |
Midwest | 24.4% | 46.3% | |
West | 17.3% | 12.3% | |
ICU presence | |||
Medicalsurgical | 94.0% | 64.0% | <0.001 |
Cardiac | 58.7% | 26.9% | <0.001 |
Managed care contracts | |||
HMO | 81.2% | 59.4% | <0.001 |
PPO | 88.7% | 79.9% | <0.001 |
Teaching hospital | 12.6% | 1.7% | <0.001 |
Median household income in hospital county | $51,851 ($13,566) | $44,448 ($10,058) | <0.001 |
Table 2 presents bivariate analyses. Mortality for all 3 conditions and readmissions for AMI and HF were all significantly lower among hospitals employing hospitalists. Of the 3029 hospitals in the sample (both with and without hospitalist programs), over 93% had 25 or more cases per category for 4 of the 6 outcome variables, indicating only a minor risk of hospital selection bias due to small size or infrequent admissions for target conditions.
Outcome Variable | Hospitalist Presence, Mean (SD) | No Hospitalist Presence, Mean (SD) | P Value | n |
---|---|---|---|---|
| ||||
AMI mortality | 16.3 (1.8) | 16.7 (1.7) | <0.001 | 2,007 |
HF mortality | 11.1 (1.6) | 11.4 (1.5) | <0.001 | 2,625 |
PN mortality | 11.4 (1.9) | 11.8 (1.8) | <0.001 | 2,746 |
AMI readmission | 19.8 (1.4) | 20.1 (1.3) | 0.003 | 1,707 |
HF readmission | 24.2 (2.1) | 24.8 (2.0) | <0.001 | 2,620 |
PN readmission | 18.1 (1.7) | 18.1 (1.6) | 0.896 | 2,709 |
Multivariate Analyses: Mortality Outcomes
Multivariate analyses showed no significant relationship between hospitalist care and risk‐standardized mortality measures for any of the 3 target conditions (Table 3). Stated more precisely, the presence or absence of hospitalists was not associated with an increase or decrease in the case mix‐adjusted, risk‐standardized, 30‐day all‐cause predicted excess mortality rates for these conditions. Covariates in the models generally performed as might be hypothesized. When stratified by ICU presence, urban/rural setting, and bed size, none of the hospitalist presence coefficients reached significance.
Acute Myocardial Infarction (95% CI) | Heart Failure (95% CI) | Pneumonia (95% CI) | |
---|---|---|---|
| |||
Mortality | |||
Hospitalist presence | 0.058 (0.132 to 0.247) | 0.104 (0.041 to 0.249) | 0.042 (0.132, 0.217) |
Readmission | |||
Hospitalist presence | 0.182 (0.343 to 0.022)a | 0.575 (0.763 to 0.387)c | 0.228 (0.380 to 0.075)b |
Multivariate Analyses: Readmission Outcomes
In contrast to the mortality measures, risk‐standardized readmission rates were significantly lower for all 3 conditions for hospitals employing hospitalists (Table 3). Specifically, hospitalist services within a hospital were associated with a decrease in case mix‐adjusted, risk‐standardized, 30‐day predicted excess readmissions for each of the 3 target conditions, as follows: 0.182 fewer predicted AMI readmissions per 100 people at risk (P<0.05), 0.575 fewer predicted HF readmissions per 100 people at risk (P<0.001), and 0.228 fewer predicted PN readmissions per 100 people at risk (P<0.01). Covariates in the models again generally performed as might be expected. When stratified, the presence of hospitalists tended to have a stronger negative association with medicalsurgical ICU presence, cardiac ICU presence, urban setting, and larger bed size.
Full results from the OLS regressions for mortality and readmission outcome variables, including significance levels and 95% confidence intervals, are available (see Supporting Information, Appendix Tables 1 and 2, in the online version of this article).
DISCUSSION
Most previous studies have used patient‐level data from single institutions, and have shown inconsistent association between hospitalist care and clinical outcomes. Only a few studies have been conducted at the national level, and we know of only 1 that uses the same types of clinical outcomes as in our approach. In particular, Goodrich et al. conducted an in‐depth survey of hospitalist programs, and found that hospitalist presence had a significant association with HF readmissions.[29] Our results, similar to those of Goodrich et al., showed that the presence of hospitalists was not associated with risk‐standardized, 30‐day, all‐cause predicted excess mortality rates for Medicare patients hospitalized for any of these 3 conditions. The presence of hospitalists was, however, associated with lower‐risk standardized, 30‐day, all‐cause predicted excess readmission rates in our study. Our analyses resulted in somewhat different coefficients than Goodrich et al., but that is most likely due to: (1) different sample sizes, (2) use of similar yet not identical control variables, and (3) reporting error, as we used different sets of self‐reported data to indicate hospitalist services. The presence of a hospital‐level association with inconclusive patient‐level evidence suggests that there may be a more nuanced relationship between hospitalists and quality of care than has been previously explored.
This result may be explained by a number of reasons, the first of which is that hospitalists generally have more experience in the increasingly specialized practice of hospital‐based medicine than PCPs or nonhospitalists. For example, Meltzer et al.[30] found that hospitalists have more experience than nonhospitalists in treating acute manifestations of cardiovascular and respiratory diseases. Even though we might expect that greater experience with hospital‐based medicine would be associated with lower mortality rates, this outcome may not be captured because mortality is a rare event in the reported 30‐day postdischarge period and may be less preventable than readmission. There are a number of other factors possibly affecting hospital readmission, such as inadequate information transfer by discharge planners, poor patient compliance, inadequate follow‐up, insufficient use of family caregivers, deterioration of a patient's clinical condition, and medical errors.[31]
Studies have found that hospitalists have had positive effects related to managing case complexity and navigating the discharge process, perhaps due to their increased availability to patients and commitment to hospital quality improvements.[16, 32] Some determinants of patient outcomes may be difficult for hospitalists to influence, however, such as poor patient compliance or lack of support by family caregivers. Hospitalists who have extensive discharge experience may understand key challenges and adopt strategies to ameliorate these negative effects, for instance by using appropriate motivational strategies to encourage compliance and capitalizing on family caregivers.[33] Being located in the hospital, hospitalists are more available to deal with emergencies that occur during the hospitalization, and may be more available and active in discharge planning. Benbassat and Taragin[34] found that between 9% and 48% of all readmissions were preventable because they were associated with indicators of substandard care during the index hospitalization. They further estimated between 12% and 75% more readmissions could have been prevented by implementing patient education, predischarge assessment, and at‐home aftercare programs. Hospitalists are in a unique position to use their specialized training to improve transitions from hospital to home, communicate needs with the family and caregivers during the index hospitalization, and ensure that adequate postdischarge care is received. Although the use of hospitalists creates another handoff in the transition between inpatient and outpatient settings, hospitalist care may have a positive effect on many of the determinants of readmission sufficient to overcome that discontinuity.
Quality of care may also be affected by tertiary factors such as hospital administration or organizational culture. Lower AMI mortality has been associated with factors beyond cardiologist care, including organizational behavior and the appointment of physician and nurse champions.[35] Although the exact mechanism is unclear, better patient outcomes may be a result of this combination of direct clinical care, care transition management, and administrative or organizational factors. The models showed several hospital and community characteristics having coefficients larger in magnitude than the hospitalist variable, including classification as a teaching hospital, region, and hospital county median income. Teaching hospitals have been shown to have varying effects on quality of care depending on the type of care being provided, and teaching status may also be a proxy for factors related to organizational culture or mission.[36] Community‐level contextual factors including poverty and income have been shown previously to be related to readmission rates, possibly due to lack of social support and financial resources in the community to help discharged patients manage their healthcare needs in community settings.
Research Limitations
Two important limitations of this study are assumptions made necessary using aggregated, hospital‐level data. These assumptions include: (1) that hospitalists regularly treat Medicare patients with HF, AMI, and PN, and (2) that patient exposure to hospitalists is consistent in amount and quality across all patients treated in the hospital. Due to the frequency of the 3 study conditions in the Medicare population, it is reasonable to assume that hospitalists treat these patients, but it is unlikely that all patients admitted to each hospital employing hospitalists are indeed treated by hospitalists or that they are all treated in a consistent manner. There is also significant variation among hospitalist services nationwide, from different types of hospitalists to varying responsibilities across settings. Differences in physician practice structure and hospital staffing could affect hospitalist care on individual patient outcomes between hospitals that employ hospitalists. Models also did not control for the extent to which hospitals have implemented specific interventions to prevent hospital readmissions; hospitals with hospitalists may more often implement other interventions potentially influencing readmissions. We further could not distinguish between effective and ineffective hospitalist programs. The inability to account for these factors would effectively weaken the indicator, most likely underestimating the association between hospitalist presence and the outcome variables. Finally, the AHA database is subject to some variability, as it utilizes self‐reported data from the hospitals, but the database is generally considered the industry standard.
Using OLS regression, this study reflects correlation, but cannot demonstrate causation between the presence of hospitalists and an increase or decrease in risk‐standardized predicted mortality or readmission rates. There is also controversy regarding the appropriateness of using risk‐standardized predicted mortality and readmission rates as measures of quality of care, because these rates represent outcomes that may be influenced by other factors beyond the care received during the inpatient stay. These rates will, however, be of increasing importance given emerging pay‐for‐performance initiatives.[35, 37, 38]
CONCLUSION
Reducing medical errors and improving patient outcomes are becoming more important in light of increased reporting of hospital performance and outcome measures. Post‐discharge 30‐day mortality and hospital readmission represent 2 major undesirable patient outcomes, and Medicare's new pay‐for‐performance initiatives only provide further incentives for hospitals to take action in reducing these rates. Because the likelihood of receiving inpatient care provided by a hospitalist has significantly increased among Medicare patients since the 1990s,[39] hospitalists have become important players in potentially reducing mortality and readmission for patients discharged from inpatient settings. This study has shown that use of hospitalists may be associated with lower hospital readmissions, a clear quality measure, but are not associated with any changes in 30‐day mortality.
Further studies are needed, however, to better characterize and validate the observed associations, as well as to determine how hospitalist programs can be enhanced to improve inpatient care quality. Case studies could be carried out within hospitals with high‐ and low‐performing hospitalist services to help identify key aspects of hospitalist care most closely associated with desirable outcomes. Discharge and transitional care processes could also be standardized according to best practices, with their implementation tailored to individual hospital settings. Finally, as patient‐level data become increasingly available, researchers should merge these data with hospital‐level data to assess more robustly the multilevel effect of hospitalists on inpatient quality of care and individual patient outcomes. Such information will be valuable to policymakers and health administrators alike in the ongoing and volatile economic and political environment surrounding healthcare.
- The emerging role of “hospitalists” in the American health care system. N Engl J Med. 1996;335(7):514–517. , .
- Society of Hospital Medicine. 2010. SHM fact sheet: about hospital medicine. Available at: http://www.hospitalmedicine.org/AM/Template.cfm?Section=Media_Kit130(4 pt 2):338–342.
- The hospitalist: new boon for internal medicine or retreat from primary care? Ann Intern Med. 1999;130(4 pt 2):382–387. , .
- The hospitalist model: perspectives of the patient, the internist, and internal medicine. Ann Intern Med. 1999;130(4 pt 2):368–372. .
- Economic and healthcare forces of hospitalist movement. Mt Sinai J Med. 2008;75(5):424–429. , .
- The impact of hospitalists on the cost and quality of inpatient care in the United States: a research synthesis. Med Care Res Rev. 2005;62(4):379–406. , .
- A systematic review of outcomes and quality measures in adult patients cared for by hospitalists vs. nonhospitalists. Mayo Clin Proc. 2009;84(3):248–254. .
- Do hospitalist physicians improve the quality of inpatient care delivery? A systematic review of process, efficiency and outcome measures. BMC Med. 2011;9:58. , .
- Quality of care for patients hospitalized with heart failure: assessing the impact of hospitalists. Arch Intern Med. 2002;162(11):1251–1256. , , , , .
- Hospitalists and the quality of care in hospitals. Arch Intern Med. 2009;169(15):1389–1394. , , , , .
- Quality of care for decompensated heart failure: comparable performance between academic hospitalists and non‐hospitalists. J Gen Intern Med. 2008;23(9):1399–1406. , , , et al.
- Determinants of hospitalist efficiency: a qualitative and quantitative study. Med Care Res Rev. 2009;66(6):682–702. , , , , , .
- The value of a hospitalist service: efficient care for the aging population? Chest. 2001;119(2):580–589. , , , , , .
- Outcomes of care by hospitalists, general internists, and family physicians. N Engl J Med. 2007;357(25):2589–2600. , , , , , .
- Hospitalist care and length of stay in patients requiring complex discharge planning and close clinical monitoring. Arch Intern Med. 2007;167(17):1869–1874. , , , , .
- Rehospitalizations among patients in the Medicare fee‐for‐service program. N Engl J Med. 2009;360(14):1418–1428. , , .
- Patient Protection and Affordable Care Act of 2010. P.L. 111–148, §3025 Stat. 328 (2010).
- Centers for Medicare and Medicaid Services. 2008. Hospital outcome of care measures [data file]. Available at: http://www.cms.gov/Medicare/Quality‐Initiatives‐Patient‐Assessment‐Instruments/HospitalQualityInits/index.html?redirect=/HospitalQualityInits/11_HospitalCompare.asp. Accessed November 15, 2011.
- Public reporting of 30‐day mortality for patients hospitalized with acute myocardial infarction and heart failure. Circulation. 2008;118:1394–1397. , .
- Quality Net. 2012. Measure methodology reports: mortality measures. Available at: http://www.qualitynet.org/dcs/ContentServer?c=Page35(3):22–34.
- Care in U.S. hospitals—the hospital quality alliance program. N Engl J Med. 2005;353(3):265–274. , , , .
- Quality of care for the treatment of acute medical conditions in US hospitals. Arch Intern Med. 2006;166(22):2511–2517. , , , et al.
- United States Census Bureau. 2008. Small area income and poverty estimates [data file]. Available at: http://www.census.gov/did/www/saipe/. Accessed March 5, 2012.
- United States Department of Agriculture Economic Research Service. 2004. Rural‐urban continuum codes [data file]. Available at: http://www.ers.usda.gov/data‐products/rural‐urban‐continuum‐codes.aspx. Accessed March 5, 2012.
- Hospitalist utilization and hospital performance on 6 publicly reported patient outcomes. J Hosp Med. 2012;7(6):482–488. , , , , .
- Effects of physician experience on costs and outcomes on an academic general medicine service: Results of a trial of hospitalists. Ann Intern Med. 2002;137(11):866–874. , , , et al.
- Medicare hospital readmissions: issues, policy options, and PPACA (R40972). Congressional Research Service. Washington, DC: U.S. Government Printing Office; 2010. , .
- Program description: a hospitalist‐run, medical short‐stay unit in a teaching hospital. CMAJ. 2000;163(11):1477–1480. , , , .
- Promoting effective transitions of care at hospital discharge: a review of key issues for hospitalists. J Hosp Med. 2007;2(5):314–323. , , , .
- Hospital readmissions as a measure of quality of health care: advantages and limitations. Arch Intern Med. 2000;160(8):1074–1081. , .
- Hospital strategies for reducing risk‐standardized mortality rates in acute myocardial infarction. Ann Intern Med. 2012;156(9):618–626. , , , et al.
- Teaching hospitals and quality of care: a review of the literature. Milbank Q. 2002;80(3):569–593. , .
- The association between the quality of inpatient care and early readmission: a meta‐analysis of the evidence. Med Care. 1997;35(10):1044–1059. , , , , .
- Hospital readmissions as an accountability measure. JAMA. 2011;305(5):504–505. , .
- Growth in the care of older patients by hospitalists in the United States. N Engl J Med. 2009;360(11):1102–1112. , , , .
Since Wachter and Goldman coined the term hospitalist in 1996,[1] the number of hospitalists in the United States has grown rapidly, to more than 30,000 in recent estimates, with at least 80% of hospitals with 200 beds or more having hospital medicine programs.[2] A number of factors have led to the growth of such programs. First, hospital‐level incentives to use hospitalists exist to improve patient flow and maximize bed use, thereby reducing length of stay (LOS) and improving efficiency. Hospitals also employ hospitalists to address limitations on the number of hours that medical residents can work. Second, the use of hospitalists allows primary care physicians (PCPs) to focus their practices on outpatient care, thus avoiding the complexity of hospital‐based medicine, which requires both hospital‐focused clinical skills as well as institutional knowledge. Supporters of the hospitalist movement claim that hospitalists can improve efficiency and quality of care because hospitalists (1) have more experience managing inpatient care, (2) are more available to patients, and (3) have greater commitment to hospital quality improvements than (nonemployed) community PCPs.[3, 4, 5] On the other hand, criticisms of hospitalists include concerns related to (1) discontinuity in care and patient handoffs, (2) patient dissatisfaction at being treated by someone other than their PCP, (3) loss of acute care skills by PCPs, and (4) hospitalist burnout due to large workloads and poor institutional support.[3, 4, 5]
Hospitalists have been shown to have an effect on lowering total patient costs through better resource utilization and reduced LOS.[6, 7, 8, 9] There is no clear agreement, however, that hospitalists more often implement guideline‐recommended care.[10, 11, 12] In fact, most evaluations have found no significant differences between mortality and readmission rates among hospitalist and nonhospitalist groups.[12, 13, 14, 15, 16] The majority of these studies, however, were conducted in individual institutions or with small sample sizes, thus limiting their generalizability.
As 1 of the fastest‐growing medical specialties, hospitalists have assumed a significant role in inpatient care. The Centers for Medicare and Medicaid Services (CMS) have identified heart failure (HF), acute myocardial infarction (AMI), and pneumonia (PN) as important inpatient conditions associated with substantial morbidity and mortality among the Medicare population. Further, Jencks et al.[17] found that nearly one‐fifth of Medicare beneficiaries discharged from a hospital were readmitted within 30 days, which incurred an estimated cost to Medicare of $17.4 billion in 2004. Hospital readmission is of particular importance under healthcare reform because CMS introduced financial penalties in 2013 for hospitals with excessive readmission rates. The reimbursement penalty related to readmissions is included in the Patient Protection and Affordable Care Act and will be gradually expanded across many other outcomes.[18]
METHODS
Data Sources
Using hierarchical, generalized, linear modeling with hospital‐specific random effects, CMS has developed and made publicly available national, hospital‐level data reporting case mix‐adjusted, risk‐standardized, 30‐day all‐cause predicted excess mortality and readmission rates, as measured from the first day of the index inpatient admission. The models produce aggregate hospital‐level predictions of excess mortality and readmissions, as compared to other hospitals with the same case mix.[19, 20] Outcome measures in this study reflect these hospital‐specific, adjusted measures of mortality and readmission. Each of these measures is expressed as a continuous variable of the adjusted number of events within a 30‐day period, analogous to a ratio of observed‐to‐expected outcomes, multiplied by the national rate. Specifically, the numerator is the number of observed events in a 30‐day period based on the hospital's case mix‐adjusted performance, and the denominator is the number of expected events in a 30‐day period based on average national hospital performance with that hospital's case mix. CMS adjusts the measures for case mix to account for important patient‐level, clinically relevant variables such as age, sex, and comorbidities. However, the data do not allow the measures to be further adjusted for admission source, discharge destination, or patient socioeconomic status.[19] CMS also does not report rates for hospitals with fewer than 25 cases for a condition, which could limit the generalizability of our findings with regard to small hospitals or hospitals with only occasional patients discharged with a target condition. Details on specific inclusion/exclusion criteria, model adjustment, and statistical approach used by CMS can be found in their methodology reports.[21, 22]
The 2008 CMS risk‐standardized mortality and readmission measures described above were linked with the 2008 American Hospital Association (AHA) Annual Survey Database, using each hospital's 6‐digit Medicare provider identification number. The AHA Annual Survey Database provides comprehensive hospital‐level data for approximately 6500 US hospitals, including demographics, organizational structure, facilities and services, utilization data, community indicators, physician arrangements, managed care relationships, expenses, and staffing, including employment of hospitalists.[23]
Variables
We used the CMS case mix‐adjusted, risk‐standardized, 30‐day all‐cause predicted excess mortality and readmission measures for HF, AMI, and PN as dependent variables. The primary independent variable was a dichotomous measure of whether or not hospitalists provided care within the hospital. Covariates identified from the literature[11, 23, 24, 25, 26, 27, 28] included hospital and community characteristics, organizational perspective, size, and resources. Models were adjusted for hospital ownership (government, nongovernment nonprofit, investor‐owned for profit), region (Northeast, South, Midwest, West), teaching status, bed size, number of nurses per hospital bed, intensive care unit (ICU) presence (medicalsurgical, cardiac), managed care contracts (health maintenance organization, preferred provider organization), urban/rural setting, and median household income in the hospital county.
Statistical Analysis
Descriptive statistics of the dependent and independent variables illustrated trends across hospitals with and without hospitalists, and bivariate statistics identified differences between the 2 groups. We employed multivariable ordinary least squares (OLS) regression to assess the association between the independent variables and risk‐standardized, 30‐day all‐cause excess mortality and readmission rates at the hospital level. OLS was used because the dependent variables were measured continuously; count models were not appropriate for our analyses, because we did not have access to patient‐level data that could provide person‐days at risk for mortality or readmission. This limitation is mitigated, however, because CMS had already used hierarchical, multivariate, patient‐level models to produce hospital‐specific predictions, which formed the basis of our outcome measures. Six OLS models were run reflecting each of the 6 outcomes of interest: AMI mortality, HF mortality, and PN mortality, and AMI readmission, HF readmission, and PN readmission. All statistical analyses were conducted using Stata version 11 (StataCorp, College Station, TX).
RESULTS
Hospital Characteristics and Descriptive Measures
There were 3029 US hospitals in the final analysis dataset. Of these, 59.3% reported employing hospitalists on staff. Descriptive statistics are shown in Table 1.
Hospitalist Presence, n=1,796, % or Mean (SD) | No Hospitalist Presence, n=1,233, % or Mean (SD) | P Value | |
---|---|---|---|
| |||
Hospital control | <0.001 | ||
Government | 14.8% | 33.3% | |
Nongovernment, nonprofit | 72.9% | 56.8% | |
Investor owned, for profit | 12.4% | 10.0% | |
Bed size | 257 (224) | 94 (106) | <0.001 |
Nurses per inpatient bed | 1.5 (0.6) | 1.1 (0.7) | <0.001 |
Urban | 75.3% | 32.7% | <0.001 |
Rural | 24.7% | 67.3% | |
Region | <0.001 | ||
Northeast | 18.2% | 8.3% | |
South | 40.1% | 33.1% | |
Midwest | 24.4% | 46.3% | |
West | 17.3% | 12.3% | |
ICU presence | |||
Medicalsurgical | 94.0% | 64.0% | <0.001 |
Cardiac | 58.7% | 26.9% | <0.001 |
Managed care contracts | |||
HMO | 81.2% | 59.4% | <0.001 |
PPO | 88.7% | 79.9% | <0.001 |
Teaching hospital | 12.6% | 1.7% | <0.001 |
Median household income in hospital county | $51,851 ($13,566) | $44,448 ($10,058) | <0.001 |
Table 2 presents bivariate analyses. Mortality for all 3 conditions and readmissions for AMI and HF were all significantly lower among hospitals employing hospitalists. Of the 3029 hospitals in the sample (both with and without hospitalist programs), over 93% had 25 or more cases per category for 4 of the 6 outcome variables, indicating only a minor risk of hospital selection bias due to small size or infrequent admissions for target conditions.
Outcome Variable | Hospitalist Presence, Mean (SD) | No Hospitalist Presence, Mean (SD) | P Value | n |
---|---|---|---|---|
| ||||
AMI mortality | 16.3 (1.8) | 16.7 (1.7) | <0.001 | 2,007 |
HF mortality | 11.1 (1.6) | 11.4 (1.5) | <0.001 | 2,625 |
PN mortality | 11.4 (1.9) | 11.8 (1.8) | <0.001 | 2,746 |
AMI readmission | 19.8 (1.4) | 20.1 (1.3) | 0.003 | 1,707 |
HF readmission | 24.2 (2.1) | 24.8 (2.0) | <0.001 | 2,620 |
PN readmission | 18.1 (1.7) | 18.1 (1.6) | 0.896 | 2,709 |
Multivariate Analyses: Mortality Outcomes
Multivariate analyses showed no significant relationship between hospitalist care and risk‐standardized mortality measures for any of the 3 target conditions (Table 3). Stated more precisely, the presence or absence of hospitalists was not associated with an increase or decrease in the case mix‐adjusted, risk‐standardized, 30‐day all‐cause predicted excess mortality rates for these conditions. Covariates in the models generally performed as might be hypothesized. When stratified by ICU presence, urban/rural setting, and bed size, none of the hospitalist presence coefficients reached significance.
Acute Myocardial Infarction (95% CI) | Heart Failure (95% CI) | Pneumonia (95% CI) | |
---|---|---|---|
| |||
Mortality | |||
Hospitalist presence | 0.058 (0.132 to 0.247) | 0.104 (0.041 to 0.249) | 0.042 (0.132, 0.217) |
Readmission | |||
Hospitalist presence | 0.182 (0.343 to 0.022)a | 0.575 (0.763 to 0.387)c | 0.228 (0.380 to 0.075)b |
Multivariate Analyses: Readmission Outcomes
In contrast to the mortality measures, risk‐standardized readmission rates were significantly lower for all 3 conditions for hospitals employing hospitalists (Table 3). Specifically, hospitalist services within a hospital were associated with a decrease in case mix‐adjusted, risk‐standardized, 30‐day predicted excess readmissions for each of the 3 target conditions, as follows: 0.182 fewer predicted AMI readmissions per 100 people at risk (P<0.05), 0.575 fewer predicted HF readmissions per 100 people at risk (P<0.001), and 0.228 fewer predicted PN readmissions per 100 people at risk (P<0.01). Covariates in the models again generally performed as might be expected. When stratified, the presence of hospitalists tended to have a stronger negative association with medicalsurgical ICU presence, cardiac ICU presence, urban setting, and larger bed size.
Full results from the OLS regressions for mortality and readmission outcome variables, including significance levels and 95% confidence intervals, are available (see Supporting Information, Appendix Tables 1 and 2, in the online version of this article).
DISCUSSION
Most previous studies have used patient‐level data from single institutions, and have shown inconsistent association between hospitalist care and clinical outcomes. Only a few studies have been conducted at the national level, and we know of only 1 that uses the same types of clinical outcomes as in our approach. In particular, Goodrich et al. conducted an in‐depth survey of hospitalist programs, and found that hospitalist presence had a significant association with HF readmissions.[29] Our results, similar to those of Goodrich et al., showed that the presence of hospitalists was not associated with risk‐standardized, 30‐day, all‐cause predicted excess mortality rates for Medicare patients hospitalized for any of these 3 conditions. The presence of hospitalists was, however, associated with lower‐risk standardized, 30‐day, all‐cause predicted excess readmission rates in our study. Our analyses resulted in somewhat different coefficients than Goodrich et al., but that is most likely due to: (1) different sample sizes, (2) use of similar yet not identical control variables, and (3) reporting error, as we used different sets of self‐reported data to indicate hospitalist services. The presence of a hospital‐level association with inconclusive patient‐level evidence suggests that there may be a more nuanced relationship between hospitalists and quality of care than has been previously explored.
This result may be explained by a number of reasons, the first of which is that hospitalists generally have more experience in the increasingly specialized practice of hospital‐based medicine than PCPs or nonhospitalists. For example, Meltzer et al.[30] found that hospitalists have more experience than nonhospitalists in treating acute manifestations of cardiovascular and respiratory diseases. Even though we might expect that greater experience with hospital‐based medicine would be associated with lower mortality rates, this outcome may not be captured because mortality is a rare event in the reported 30‐day postdischarge period and may be less preventable than readmission. There are a number of other factors possibly affecting hospital readmission, such as inadequate information transfer by discharge planners, poor patient compliance, inadequate follow‐up, insufficient use of family caregivers, deterioration of a patient's clinical condition, and medical errors.[31]
Studies have found that hospitalists have had positive effects related to managing case complexity and navigating the discharge process, perhaps due to their increased availability to patients and commitment to hospital quality improvements.[16, 32] Some determinants of patient outcomes may be difficult for hospitalists to influence, however, such as poor patient compliance or lack of support by family caregivers. Hospitalists who have extensive discharge experience may understand key challenges and adopt strategies to ameliorate these negative effects, for instance by using appropriate motivational strategies to encourage compliance and capitalizing on family caregivers.[33] Being located in the hospital, hospitalists are more available to deal with emergencies that occur during the hospitalization, and may be more available and active in discharge planning. Benbassat and Taragin[34] found that between 9% and 48% of all readmissions were preventable because they were associated with indicators of substandard care during the index hospitalization. They further estimated between 12% and 75% more readmissions could have been prevented by implementing patient education, predischarge assessment, and at‐home aftercare programs. Hospitalists are in a unique position to use their specialized training to improve transitions from hospital to home, communicate needs with the family and caregivers during the index hospitalization, and ensure that adequate postdischarge care is received. Although the use of hospitalists creates another handoff in the transition between inpatient and outpatient settings, hospitalist care may have a positive effect on many of the determinants of readmission sufficient to overcome that discontinuity.
Quality of care may also be affected by tertiary factors such as hospital administration or organizational culture. Lower AMI mortality has been associated with factors beyond cardiologist care, including organizational behavior and the appointment of physician and nurse champions.[35] Although the exact mechanism is unclear, better patient outcomes may be a result of this combination of direct clinical care, care transition management, and administrative or organizational factors. The models showed several hospital and community characteristics having coefficients larger in magnitude than the hospitalist variable, including classification as a teaching hospital, region, and hospital county median income. Teaching hospitals have been shown to have varying effects on quality of care depending on the type of care being provided, and teaching status may also be a proxy for factors related to organizational culture or mission.[36] Community‐level contextual factors including poverty and income have been shown previously to be related to readmission rates, possibly due to lack of social support and financial resources in the community to help discharged patients manage their healthcare needs in community settings.
Research Limitations
Two important limitations of this study are assumptions made necessary using aggregated, hospital‐level data. These assumptions include: (1) that hospitalists regularly treat Medicare patients with HF, AMI, and PN, and (2) that patient exposure to hospitalists is consistent in amount and quality across all patients treated in the hospital. Due to the frequency of the 3 study conditions in the Medicare population, it is reasonable to assume that hospitalists treat these patients, but it is unlikely that all patients admitted to each hospital employing hospitalists are indeed treated by hospitalists or that they are all treated in a consistent manner. There is also significant variation among hospitalist services nationwide, from different types of hospitalists to varying responsibilities across settings. Differences in physician practice structure and hospital staffing could affect hospitalist care on individual patient outcomes between hospitals that employ hospitalists. Models also did not control for the extent to which hospitals have implemented specific interventions to prevent hospital readmissions; hospitals with hospitalists may more often implement other interventions potentially influencing readmissions. We further could not distinguish between effective and ineffective hospitalist programs. The inability to account for these factors would effectively weaken the indicator, most likely underestimating the association between hospitalist presence and the outcome variables. Finally, the AHA database is subject to some variability, as it utilizes self‐reported data from the hospitals, but the database is generally considered the industry standard.
Using OLS regression, this study reflects correlation, but cannot demonstrate causation between the presence of hospitalists and an increase or decrease in risk‐standardized predicted mortality or readmission rates. There is also controversy regarding the appropriateness of using risk‐standardized predicted mortality and readmission rates as measures of quality of care, because these rates represent outcomes that may be influenced by other factors beyond the care received during the inpatient stay. These rates will, however, be of increasing importance given emerging pay‐for‐performance initiatives.[35, 37, 38]
CONCLUSION
Reducing medical errors and improving patient outcomes are becoming more important in light of increased reporting of hospital performance and outcome measures. Post‐discharge 30‐day mortality and hospital readmission represent 2 major undesirable patient outcomes, and Medicare's new pay‐for‐performance initiatives only provide further incentives for hospitals to take action in reducing these rates. Because the likelihood of receiving inpatient care provided by a hospitalist has significantly increased among Medicare patients since the 1990s,[39] hospitalists have become important players in potentially reducing mortality and readmission for patients discharged from inpatient settings. This study has shown that use of hospitalists may be associated with lower hospital readmissions, a clear quality measure, but are not associated with any changes in 30‐day mortality.
Further studies are needed, however, to better characterize and validate the observed associations, as well as to determine how hospitalist programs can be enhanced to improve inpatient care quality. Case studies could be carried out within hospitals with high‐ and low‐performing hospitalist services to help identify key aspects of hospitalist care most closely associated with desirable outcomes. Discharge and transitional care processes could also be standardized according to best practices, with their implementation tailored to individual hospital settings. Finally, as patient‐level data become increasingly available, researchers should merge these data with hospital‐level data to assess more robustly the multilevel effect of hospitalists on inpatient quality of care and individual patient outcomes. Such information will be valuable to policymakers and health administrators alike in the ongoing and volatile economic and political environment surrounding healthcare.
Since Wachter and Goldman coined the term hospitalist in 1996,[1] the number of hospitalists in the United States has grown rapidly, to more than 30,000 in recent estimates, with at least 80% of hospitals with 200 beds or more having hospital medicine programs.[2] A number of factors have led to the growth of such programs. First, hospital‐level incentives to use hospitalists exist to improve patient flow and maximize bed use, thereby reducing length of stay (LOS) and improving efficiency. Hospitals also employ hospitalists to address limitations on the number of hours that medical residents can work. Second, the use of hospitalists allows primary care physicians (PCPs) to focus their practices on outpatient care, thus avoiding the complexity of hospital‐based medicine, which requires both hospital‐focused clinical skills as well as institutional knowledge. Supporters of the hospitalist movement claim that hospitalists can improve efficiency and quality of care because hospitalists (1) have more experience managing inpatient care, (2) are more available to patients, and (3) have greater commitment to hospital quality improvements than (nonemployed) community PCPs.[3, 4, 5] On the other hand, criticisms of hospitalists include concerns related to (1) discontinuity in care and patient handoffs, (2) patient dissatisfaction at being treated by someone other than their PCP, (3) loss of acute care skills by PCPs, and (4) hospitalist burnout due to large workloads and poor institutional support.[3, 4, 5]
Hospitalists have been shown to have an effect on lowering total patient costs through better resource utilization and reduced LOS.[6, 7, 8, 9] There is no clear agreement, however, that hospitalists more often implement guideline‐recommended care.[10, 11, 12] In fact, most evaluations have found no significant differences between mortality and readmission rates among hospitalist and nonhospitalist groups.[12, 13, 14, 15, 16] The majority of these studies, however, were conducted in individual institutions or with small sample sizes, thus limiting their generalizability.
As 1 of the fastest‐growing medical specialties, hospitalists have assumed a significant role in inpatient care. The Centers for Medicare and Medicaid Services (CMS) have identified heart failure (HF), acute myocardial infarction (AMI), and pneumonia (PN) as important inpatient conditions associated with substantial morbidity and mortality among the Medicare population. Further, Jencks et al.[17] found that nearly one‐fifth of Medicare beneficiaries discharged from a hospital were readmitted within 30 days, which incurred an estimated cost to Medicare of $17.4 billion in 2004. Hospital readmission is of particular importance under healthcare reform because CMS introduced financial penalties in 2013 for hospitals with excessive readmission rates. The reimbursement penalty related to readmissions is included in the Patient Protection and Affordable Care Act and will be gradually expanded across many other outcomes.[18]
METHODS
Data Sources
Using hierarchical, generalized, linear modeling with hospital‐specific random effects, CMS has developed and made publicly available national, hospital‐level data reporting case mix‐adjusted, risk‐standardized, 30‐day all‐cause predicted excess mortality and readmission rates, as measured from the first day of the index inpatient admission. The models produce aggregate hospital‐level predictions of excess mortality and readmissions, as compared to other hospitals with the same case mix.[19, 20] Outcome measures in this study reflect these hospital‐specific, adjusted measures of mortality and readmission. Each of these measures is expressed as a continuous variable of the adjusted number of events within a 30‐day period, analogous to a ratio of observed‐to‐expected outcomes, multiplied by the national rate. Specifically, the numerator is the number of observed events in a 30‐day period based on the hospital's case mix‐adjusted performance, and the denominator is the number of expected events in a 30‐day period based on average national hospital performance with that hospital's case mix. CMS adjusts the measures for case mix to account for important patient‐level, clinically relevant variables such as age, sex, and comorbidities. However, the data do not allow the measures to be further adjusted for admission source, discharge destination, or patient socioeconomic status.[19] CMS also does not report rates for hospitals with fewer than 25 cases for a condition, which could limit the generalizability of our findings with regard to small hospitals or hospitals with only occasional patients discharged with a target condition. Details on specific inclusion/exclusion criteria, model adjustment, and statistical approach used by CMS can be found in their methodology reports.[21, 22]
The 2008 CMS risk‐standardized mortality and readmission measures described above were linked with the 2008 American Hospital Association (AHA) Annual Survey Database, using each hospital's 6‐digit Medicare provider identification number. The AHA Annual Survey Database provides comprehensive hospital‐level data for approximately 6500 US hospitals, including demographics, organizational structure, facilities and services, utilization data, community indicators, physician arrangements, managed care relationships, expenses, and staffing, including employment of hospitalists.[23]
Variables
We used the CMS case mix‐adjusted, risk‐standardized, 30‐day all‐cause predicted excess mortality and readmission measures for HF, AMI, and PN as dependent variables. The primary independent variable was a dichotomous measure of whether or not hospitalists provided care within the hospital. Covariates identified from the literature[11, 23, 24, 25, 26, 27, 28] included hospital and community characteristics, organizational perspective, size, and resources. Models were adjusted for hospital ownership (government, nongovernment nonprofit, investor‐owned for profit), region (Northeast, South, Midwest, West), teaching status, bed size, number of nurses per hospital bed, intensive care unit (ICU) presence (medicalsurgical, cardiac), managed care contracts (health maintenance organization, preferred provider organization), urban/rural setting, and median household income in the hospital county.
Statistical Analysis
Descriptive statistics of the dependent and independent variables illustrated trends across hospitals with and without hospitalists, and bivariate statistics identified differences between the 2 groups. We employed multivariable ordinary least squares (OLS) regression to assess the association between the independent variables and risk‐standardized, 30‐day all‐cause excess mortality and readmission rates at the hospital level. OLS was used because the dependent variables were measured continuously; count models were not appropriate for our analyses, because we did not have access to patient‐level data that could provide person‐days at risk for mortality or readmission. This limitation is mitigated, however, because CMS had already used hierarchical, multivariate, patient‐level models to produce hospital‐specific predictions, which formed the basis of our outcome measures. Six OLS models were run reflecting each of the 6 outcomes of interest: AMI mortality, HF mortality, and PN mortality, and AMI readmission, HF readmission, and PN readmission. All statistical analyses were conducted using Stata version 11 (StataCorp, College Station, TX).
RESULTS
Hospital Characteristics and Descriptive Measures
There were 3029 US hospitals in the final analysis dataset. Of these, 59.3% reported employing hospitalists on staff. Descriptive statistics are shown in Table 1.
Hospitalist Presence, n=1,796, % or Mean (SD) | No Hospitalist Presence, n=1,233, % or Mean (SD) | P Value | |
---|---|---|---|
| |||
Hospital control | <0.001 | ||
Government | 14.8% | 33.3% | |
Nongovernment, nonprofit | 72.9% | 56.8% | |
Investor owned, for profit | 12.4% | 10.0% | |
Bed size | 257 (224) | 94 (106) | <0.001 |
Nurses per inpatient bed | 1.5 (0.6) | 1.1 (0.7) | <0.001 |
Urban | 75.3% | 32.7% | <0.001 |
Rural | 24.7% | 67.3% | |
Region | <0.001 | ||
Northeast | 18.2% | 8.3% | |
South | 40.1% | 33.1% | |
Midwest | 24.4% | 46.3% | |
West | 17.3% | 12.3% | |
ICU presence | |||
Medicalsurgical | 94.0% | 64.0% | <0.001 |
Cardiac | 58.7% | 26.9% | <0.001 |
Managed care contracts | |||
HMO | 81.2% | 59.4% | <0.001 |
PPO | 88.7% | 79.9% | <0.001 |
Teaching hospital | 12.6% | 1.7% | <0.001 |
Median household income in hospital county | $51,851 ($13,566) | $44,448 ($10,058) | <0.001 |
Table 2 presents bivariate analyses. Mortality for all 3 conditions and readmissions for AMI and HF were all significantly lower among hospitals employing hospitalists. Of the 3029 hospitals in the sample (both with and without hospitalist programs), over 93% had 25 or more cases per category for 4 of the 6 outcome variables, indicating only a minor risk of hospital selection bias due to small size or infrequent admissions for target conditions.
Outcome Variable | Hospitalist Presence, Mean (SD) | No Hospitalist Presence, Mean (SD) | P Value | n |
---|---|---|---|---|
| ||||
AMI mortality | 16.3 (1.8) | 16.7 (1.7) | <0.001 | 2,007 |
HF mortality | 11.1 (1.6) | 11.4 (1.5) | <0.001 | 2,625 |
PN mortality | 11.4 (1.9) | 11.8 (1.8) | <0.001 | 2,746 |
AMI readmission | 19.8 (1.4) | 20.1 (1.3) | 0.003 | 1,707 |
HF readmission | 24.2 (2.1) | 24.8 (2.0) | <0.001 | 2,620 |
PN readmission | 18.1 (1.7) | 18.1 (1.6) | 0.896 | 2,709 |
Multivariate Analyses: Mortality Outcomes
Multivariate analyses showed no significant relationship between hospitalist care and risk‐standardized mortality measures for any of the 3 target conditions (Table 3). Stated more precisely, the presence or absence of hospitalists was not associated with an increase or decrease in the case mix‐adjusted, risk‐standardized, 30‐day all‐cause predicted excess mortality rates for these conditions. Covariates in the models generally performed as might be hypothesized. When stratified by ICU presence, urban/rural setting, and bed size, none of the hospitalist presence coefficients reached significance.
Acute Myocardial Infarction (95% CI) | Heart Failure (95% CI) | Pneumonia (95% CI) | |
---|---|---|---|
| |||
Mortality | |||
Hospitalist presence | 0.058 (0.132 to 0.247) | 0.104 (0.041 to 0.249) | 0.042 (0.132, 0.217) |
Readmission | |||
Hospitalist presence | 0.182 (0.343 to 0.022)a | 0.575 (0.763 to 0.387)c | 0.228 (0.380 to 0.075)b |
Multivariate Analyses: Readmission Outcomes
In contrast to the mortality measures, risk‐standardized readmission rates were significantly lower for all 3 conditions for hospitals employing hospitalists (Table 3). Specifically, hospitalist services within a hospital were associated with a decrease in case mix‐adjusted, risk‐standardized, 30‐day predicted excess readmissions for each of the 3 target conditions, as follows: 0.182 fewer predicted AMI readmissions per 100 people at risk (P<0.05), 0.575 fewer predicted HF readmissions per 100 people at risk (P<0.001), and 0.228 fewer predicted PN readmissions per 100 people at risk (P<0.01). Covariates in the models again generally performed as might be expected. When stratified, the presence of hospitalists tended to have a stronger negative association with medicalsurgical ICU presence, cardiac ICU presence, urban setting, and larger bed size.
Full results from the OLS regressions for mortality and readmission outcome variables, including significance levels and 95% confidence intervals, are available (see Supporting Information, Appendix Tables 1 and 2, in the online version of this article).
DISCUSSION
Most previous studies have used patient‐level data from single institutions, and have shown inconsistent association between hospitalist care and clinical outcomes. Only a few studies have been conducted at the national level, and we know of only 1 that uses the same types of clinical outcomes as in our approach. In particular, Goodrich et al. conducted an in‐depth survey of hospitalist programs, and found that hospitalist presence had a significant association with HF readmissions.[29] Our results, similar to those of Goodrich et al., showed that the presence of hospitalists was not associated with risk‐standardized, 30‐day, all‐cause predicted excess mortality rates for Medicare patients hospitalized for any of these 3 conditions. The presence of hospitalists was, however, associated with lower‐risk standardized, 30‐day, all‐cause predicted excess readmission rates in our study. Our analyses resulted in somewhat different coefficients than Goodrich et al., but that is most likely due to: (1) different sample sizes, (2) use of similar yet not identical control variables, and (3) reporting error, as we used different sets of self‐reported data to indicate hospitalist services. The presence of a hospital‐level association with inconclusive patient‐level evidence suggests that there may be a more nuanced relationship between hospitalists and quality of care than has been previously explored.
This result may be explained by a number of reasons, the first of which is that hospitalists generally have more experience in the increasingly specialized practice of hospital‐based medicine than PCPs or nonhospitalists. For example, Meltzer et al.[30] found that hospitalists have more experience than nonhospitalists in treating acute manifestations of cardiovascular and respiratory diseases. Even though we might expect that greater experience with hospital‐based medicine would be associated with lower mortality rates, this outcome may not be captured because mortality is a rare event in the reported 30‐day postdischarge period and may be less preventable than readmission. There are a number of other factors possibly affecting hospital readmission, such as inadequate information transfer by discharge planners, poor patient compliance, inadequate follow‐up, insufficient use of family caregivers, deterioration of a patient's clinical condition, and medical errors.[31]
Studies have found that hospitalists have had positive effects related to managing case complexity and navigating the discharge process, perhaps due to their increased availability to patients and commitment to hospital quality improvements.[16, 32] Some determinants of patient outcomes may be difficult for hospitalists to influence, however, such as poor patient compliance or lack of support by family caregivers. Hospitalists who have extensive discharge experience may understand key challenges and adopt strategies to ameliorate these negative effects, for instance by using appropriate motivational strategies to encourage compliance and capitalizing on family caregivers.[33] Being located in the hospital, hospitalists are more available to deal with emergencies that occur during the hospitalization, and may be more available and active in discharge planning. Benbassat and Taragin[34] found that between 9% and 48% of all readmissions were preventable because they were associated with indicators of substandard care during the index hospitalization. They further estimated between 12% and 75% more readmissions could have been prevented by implementing patient education, predischarge assessment, and at‐home aftercare programs. Hospitalists are in a unique position to use their specialized training to improve transitions from hospital to home, communicate needs with the family and caregivers during the index hospitalization, and ensure that adequate postdischarge care is received. Although the use of hospitalists creates another handoff in the transition between inpatient and outpatient settings, hospitalist care may have a positive effect on many of the determinants of readmission sufficient to overcome that discontinuity.
Quality of care may also be affected by tertiary factors such as hospital administration or organizational culture. Lower AMI mortality has been associated with factors beyond cardiologist care, including organizational behavior and the appointment of physician and nurse champions.[35] Although the exact mechanism is unclear, better patient outcomes may be a result of this combination of direct clinical care, care transition management, and administrative or organizational factors. The models showed several hospital and community characteristics having coefficients larger in magnitude than the hospitalist variable, including classification as a teaching hospital, region, and hospital county median income. Teaching hospitals have been shown to have varying effects on quality of care depending on the type of care being provided, and teaching status may also be a proxy for factors related to organizational culture or mission.[36] Community‐level contextual factors including poverty and income have been shown previously to be related to readmission rates, possibly due to lack of social support and financial resources in the community to help discharged patients manage their healthcare needs in community settings.
Research Limitations
Two important limitations of this study are assumptions made necessary using aggregated, hospital‐level data. These assumptions include: (1) that hospitalists regularly treat Medicare patients with HF, AMI, and PN, and (2) that patient exposure to hospitalists is consistent in amount and quality across all patients treated in the hospital. Due to the frequency of the 3 study conditions in the Medicare population, it is reasonable to assume that hospitalists treat these patients, but it is unlikely that all patients admitted to each hospital employing hospitalists are indeed treated by hospitalists or that they are all treated in a consistent manner. There is also significant variation among hospitalist services nationwide, from different types of hospitalists to varying responsibilities across settings. Differences in physician practice structure and hospital staffing could affect hospitalist care on individual patient outcomes between hospitals that employ hospitalists. Models also did not control for the extent to which hospitals have implemented specific interventions to prevent hospital readmissions; hospitals with hospitalists may more often implement other interventions potentially influencing readmissions. We further could not distinguish between effective and ineffective hospitalist programs. The inability to account for these factors would effectively weaken the indicator, most likely underestimating the association between hospitalist presence and the outcome variables. Finally, the AHA database is subject to some variability, as it utilizes self‐reported data from the hospitals, but the database is generally considered the industry standard.
Using OLS regression, this study reflects correlation, but cannot demonstrate causation between the presence of hospitalists and an increase or decrease in risk‐standardized predicted mortality or readmission rates. There is also controversy regarding the appropriateness of using risk‐standardized predicted mortality and readmission rates as measures of quality of care, because these rates represent outcomes that may be influenced by other factors beyond the care received during the inpatient stay. These rates will, however, be of increasing importance given emerging pay‐for‐performance initiatives.[35, 37, 38]
CONCLUSION
Reducing medical errors and improving patient outcomes are becoming more important in light of increased reporting of hospital performance and outcome measures. Post‐discharge 30‐day mortality and hospital readmission represent 2 major undesirable patient outcomes, and Medicare's new pay‐for‐performance initiatives only provide further incentives for hospitals to take action in reducing these rates. Because the likelihood of receiving inpatient care provided by a hospitalist has significantly increased among Medicare patients since the 1990s,[39] hospitalists have become important players in potentially reducing mortality and readmission for patients discharged from inpatient settings. This study has shown that use of hospitalists may be associated with lower hospital readmissions, a clear quality measure, but are not associated with any changes in 30‐day mortality.
Further studies are needed, however, to better characterize and validate the observed associations, as well as to determine how hospitalist programs can be enhanced to improve inpatient care quality. Case studies could be carried out within hospitals with high‐ and low‐performing hospitalist services to help identify key aspects of hospitalist care most closely associated with desirable outcomes. Discharge and transitional care processes could also be standardized according to best practices, with their implementation tailored to individual hospital settings. Finally, as patient‐level data become increasingly available, researchers should merge these data with hospital‐level data to assess more robustly the multilevel effect of hospitalists on inpatient quality of care and individual patient outcomes. Such information will be valuable to policymakers and health administrators alike in the ongoing and volatile economic and political environment surrounding healthcare.
- The emerging role of “hospitalists” in the American health care system. N Engl J Med. 1996;335(7):514–517. , .
- Society of Hospital Medicine. 2010. SHM fact sheet: about hospital medicine. Available at: http://www.hospitalmedicine.org/AM/Template.cfm?Section=Media_Kit130(4 pt 2):338–342.
- The hospitalist: new boon for internal medicine or retreat from primary care? Ann Intern Med. 1999;130(4 pt 2):382–387. , .
- The hospitalist model: perspectives of the patient, the internist, and internal medicine. Ann Intern Med. 1999;130(4 pt 2):368–372. .
- Economic and healthcare forces of hospitalist movement. Mt Sinai J Med. 2008;75(5):424–429. , .
- The impact of hospitalists on the cost and quality of inpatient care in the United States: a research synthesis. Med Care Res Rev. 2005;62(4):379–406. , .
- A systematic review of outcomes and quality measures in adult patients cared for by hospitalists vs. nonhospitalists. Mayo Clin Proc. 2009;84(3):248–254. .
- Do hospitalist physicians improve the quality of inpatient care delivery? A systematic review of process, efficiency and outcome measures. BMC Med. 2011;9:58. , .
- Quality of care for patients hospitalized with heart failure: assessing the impact of hospitalists. Arch Intern Med. 2002;162(11):1251–1256. , , , , .
- Hospitalists and the quality of care in hospitals. Arch Intern Med. 2009;169(15):1389–1394. , , , , .
- Quality of care for decompensated heart failure: comparable performance between academic hospitalists and non‐hospitalists. J Gen Intern Med. 2008;23(9):1399–1406. , , , et al.
- Determinants of hospitalist efficiency: a qualitative and quantitative study. Med Care Res Rev. 2009;66(6):682–702. , , , , , .
- The value of a hospitalist service: efficient care for the aging population? Chest. 2001;119(2):580–589. , , , , , .
- Outcomes of care by hospitalists, general internists, and family physicians. N Engl J Med. 2007;357(25):2589–2600. , , , , , .
- Hospitalist care and length of stay in patients requiring complex discharge planning and close clinical monitoring. Arch Intern Med. 2007;167(17):1869–1874. , , , , .
- Rehospitalizations among patients in the Medicare fee‐for‐service program. N Engl J Med. 2009;360(14):1418–1428. , , .
- Patient Protection and Affordable Care Act of 2010. P.L. 111–148, §3025 Stat. 328 (2010).
- Centers for Medicare and Medicaid Services. 2008. Hospital outcome of care measures [data file]. Available at: http://www.cms.gov/Medicare/Quality‐Initiatives‐Patient‐Assessment‐Instruments/HospitalQualityInits/index.html?redirect=/HospitalQualityInits/11_HospitalCompare.asp. Accessed November 15, 2011.
- Public reporting of 30‐day mortality for patients hospitalized with acute myocardial infarction and heart failure. Circulation. 2008;118:1394–1397. , .
- Quality Net. 2012. Measure methodology reports: mortality measures. Available at: http://www.qualitynet.org/dcs/ContentServer?c=Page35(3):22–34.
- Care in U.S. hospitals—the hospital quality alliance program. N Engl J Med. 2005;353(3):265–274. , , , .
- Quality of care for the treatment of acute medical conditions in US hospitals. Arch Intern Med. 2006;166(22):2511–2517. , , , et al.
- United States Census Bureau. 2008. Small area income and poverty estimates [data file]. Available at: http://www.census.gov/did/www/saipe/. Accessed March 5, 2012.
- United States Department of Agriculture Economic Research Service. 2004. Rural‐urban continuum codes [data file]. Available at: http://www.ers.usda.gov/data‐products/rural‐urban‐continuum‐codes.aspx. Accessed March 5, 2012.
- Hospitalist utilization and hospital performance on 6 publicly reported patient outcomes. J Hosp Med. 2012;7(6):482–488. , , , , .
- Effects of physician experience on costs and outcomes on an academic general medicine service: Results of a trial of hospitalists. Ann Intern Med. 2002;137(11):866–874. , , , et al.
- Medicare hospital readmissions: issues, policy options, and PPACA (R40972). Congressional Research Service. Washington, DC: U.S. Government Printing Office; 2010. , .
- Program description: a hospitalist‐run, medical short‐stay unit in a teaching hospital. CMAJ. 2000;163(11):1477–1480. , , , .
- Promoting effective transitions of care at hospital discharge: a review of key issues for hospitalists. J Hosp Med. 2007;2(5):314–323. , , , .
- Hospital readmissions as a measure of quality of health care: advantages and limitations. Arch Intern Med. 2000;160(8):1074–1081. , .
- Hospital strategies for reducing risk‐standardized mortality rates in acute myocardial infarction. Ann Intern Med. 2012;156(9):618–626. , , , et al.
- Teaching hospitals and quality of care: a review of the literature. Milbank Q. 2002;80(3):569–593. , .
- The association between the quality of inpatient care and early readmission: a meta‐analysis of the evidence. Med Care. 1997;35(10):1044–1059. , , , , .
- Hospital readmissions as an accountability measure. JAMA. 2011;305(5):504–505. , .
- Growth in the care of older patients by hospitalists in the United States. N Engl J Med. 2009;360(11):1102–1112. , , , .
- The emerging role of “hospitalists” in the American health care system. N Engl J Med. 1996;335(7):514–517. , .
- Society of Hospital Medicine. 2010. SHM fact sheet: about hospital medicine. Available at: http://www.hospitalmedicine.org/AM/Template.cfm?Section=Media_Kit130(4 pt 2):338–342.
- The hospitalist: new boon for internal medicine or retreat from primary care? Ann Intern Med. 1999;130(4 pt 2):382–387. , .
- The hospitalist model: perspectives of the patient, the internist, and internal medicine. Ann Intern Med. 1999;130(4 pt 2):368–372. .
- Economic and healthcare forces of hospitalist movement. Mt Sinai J Med. 2008;75(5):424–429. , .
- The impact of hospitalists on the cost and quality of inpatient care in the United States: a research synthesis. Med Care Res Rev. 2005;62(4):379–406. , .
- A systematic review of outcomes and quality measures in adult patients cared for by hospitalists vs. nonhospitalists. Mayo Clin Proc. 2009;84(3):248–254. .
- Do hospitalist physicians improve the quality of inpatient care delivery? A systematic review of process, efficiency and outcome measures. BMC Med. 2011;9:58. , .
- Quality of care for patients hospitalized with heart failure: assessing the impact of hospitalists. Arch Intern Med. 2002;162(11):1251–1256. , , , , .
- Hospitalists and the quality of care in hospitals. Arch Intern Med. 2009;169(15):1389–1394. , , , , .
- Quality of care for decompensated heart failure: comparable performance between academic hospitalists and non‐hospitalists. J Gen Intern Med. 2008;23(9):1399–1406. , , , et al.
- Determinants of hospitalist efficiency: a qualitative and quantitative study. Med Care Res Rev. 2009;66(6):682–702. , , , , , .
- The value of a hospitalist service: efficient care for the aging population? Chest. 2001;119(2):580–589. , , , , , .
- Outcomes of care by hospitalists, general internists, and family physicians. N Engl J Med. 2007;357(25):2589–2600. , , , , , .
- Hospitalist care and length of stay in patients requiring complex discharge planning and close clinical monitoring. Arch Intern Med. 2007;167(17):1869–1874. , , , , .
- Rehospitalizations among patients in the Medicare fee‐for‐service program. N Engl J Med. 2009;360(14):1418–1428. , , .
- Patient Protection and Affordable Care Act of 2010. P.L. 111–148, §3025 Stat. 328 (2010).
- Centers for Medicare and Medicaid Services. 2008. Hospital outcome of care measures [data file]. Available at: http://www.cms.gov/Medicare/Quality‐Initiatives‐Patient‐Assessment‐Instruments/HospitalQualityInits/index.html?redirect=/HospitalQualityInits/11_HospitalCompare.asp. Accessed November 15, 2011.
- Public reporting of 30‐day mortality for patients hospitalized with acute myocardial infarction and heart failure. Circulation. 2008;118:1394–1397. , .
- Quality Net. 2012. Measure methodology reports: mortality measures. Available at: http://www.qualitynet.org/dcs/ContentServer?c=Page35(3):22–34.
- Care in U.S. hospitals—the hospital quality alliance program. N Engl J Med. 2005;353(3):265–274. , , , .
- Quality of care for the treatment of acute medical conditions in US hospitals. Arch Intern Med. 2006;166(22):2511–2517. , , , et al.
- United States Census Bureau. 2008. Small area income and poverty estimates [data file]. Available at: http://www.census.gov/did/www/saipe/. Accessed March 5, 2012.
- United States Department of Agriculture Economic Research Service. 2004. Rural‐urban continuum codes [data file]. Available at: http://www.ers.usda.gov/data‐products/rural‐urban‐continuum‐codes.aspx. Accessed March 5, 2012.
- Hospitalist utilization and hospital performance on 6 publicly reported patient outcomes. J Hosp Med. 2012;7(6):482–488. , , , , .
- Effects of physician experience on costs and outcomes on an academic general medicine service: Results of a trial of hospitalists. Ann Intern Med. 2002;137(11):866–874. , , , et al.
- Medicare hospital readmissions: issues, policy options, and PPACA (R40972). Congressional Research Service. Washington, DC: U.S. Government Printing Office; 2010. , .
- Program description: a hospitalist‐run, medical short‐stay unit in a teaching hospital. CMAJ. 2000;163(11):1477–1480. , , , .
- Promoting effective transitions of care at hospital discharge: a review of key issues for hospitalists. J Hosp Med. 2007;2(5):314–323. , , , .
- Hospital readmissions as a measure of quality of health care: advantages and limitations. Arch Intern Med. 2000;160(8):1074–1081. , .
- Hospital strategies for reducing risk‐standardized mortality rates in acute myocardial infarction. Ann Intern Med. 2012;156(9):618–626. , , , et al.
- Teaching hospitals and quality of care: a review of the literature. Milbank Q. 2002;80(3):569–593. , .
- The association between the quality of inpatient care and early readmission: a meta‐analysis of the evidence. Med Care. 1997;35(10):1044–1059. , , , , .
- Hospital readmissions as an accountability measure. JAMA. 2011;305(5):504–505. , .
- Growth in the care of older patients by hospitalists in the United States. N Engl J Med. 2009;360(11):1102–1112. , , , .
© 2013 Society of Hospital Medicine
Electronic Health Records Raise New Concerns for Hospitalists
Implementing an electronic health record (EHR) remains a major concern for hospitals and their hospitalists, with even successful “go live” EHR rollouts accompanied by a host of difficulties, says Russ Cucina, MD, MS, hospitalist and medical director of information technology at the University of California at San Francisco (UCSF) Medical Center.
Speaking at the 17th annual Management of the Hospitalized Patient conference in downtown San Francisco on Nov. 1, sponsored by UCSF and co-sponsored by SHM, Dr. Cucina said training of physicians should be mandatory—along with a test of their competency—before they use EHR and computerized physician order entry. But even more important is the “elbow-side” support provided during the rollout, while post-implementation training will have more impact.
Dr. Cucina urged hospitalists to look at EHR implementation as a process, not an event, and to develop their own goals for EHR, expecting that their hospital’s goals will only partially overlap with what they need from the system.
“Take a minute and forget the computers,” he said to participants. “How would you like to change your day-to-day practice to be more efficient, safer, with less paperwork, fewer redundancies, and processes that actually support your work?” An EHR system can impose new and unwanted structural requirements on physicians’ workflow if they don’t speak up about how they want it to be structured.
Dr. Cucina told attendees that UCSF spent a lot of money on its EHR, but still thinks the investment was worth it. With federal “meaningful use” incentives and penalties looming in 2014 for hospitals’ participation in health information technology, EHR will continue to become more important. Some hospitals may find it worthwhile to subscribe to an existing computerized system at another hospital in their region. UCSF will be making its system available by subscription to nearby Children’s Hospital of Oakland, Dr. Cucina said.
Barriers can be enormous for a dissatisfied hospital that wants to exit an unsatisfactory implemented EHR system, Dr. Cucina noted.
“Ask yourself: Does the software really stink, or is your implementation not so good?” he said. He recommended that dissatisfied hospitals ask their EHR vendor to name several top performing hospitals that use its system. “Go visit them, with all of the questions you didn’t know you needed to ask before you purchased the system,” he added. TH
Larry Beresford is a freelance writer in San Francisco.
Implementing an electronic health record (EHR) remains a major concern for hospitals and their hospitalists, with even successful “go live” EHR rollouts accompanied by a host of difficulties, says Russ Cucina, MD, MS, hospitalist and medical director of information technology at the University of California at San Francisco (UCSF) Medical Center.
Speaking at the 17th annual Management of the Hospitalized Patient conference in downtown San Francisco on Nov. 1, sponsored by UCSF and co-sponsored by SHM, Dr. Cucina said training of physicians should be mandatory—along with a test of their competency—before they use EHR and computerized physician order entry. But even more important is the “elbow-side” support provided during the rollout, while post-implementation training will have more impact.
Dr. Cucina urged hospitalists to look at EHR implementation as a process, not an event, and to develop their own goals for EHR, expecting that their hospital’s goals will only partially overlap with what they need from the system.
“Take a minute and forget the computers,” he said to participants. “How would you like to change your day-to-day practice to be more efficient, safer, with less paperwork, fewer redundancies, and processes that actually support your work?” An EHR system can impose new and unwanted structural requirements on physicians’ workflow if they don’t speak up about how they want it to be structured.
Dr. Cucina told attendees that UCSF spent a lot of money on its EHR, but still thinks the investment was worth it. With federal “meaningful use” incentives and penalties looming in 2014 for hospitals’ participation in health information technology, EHR will continue to become more important. Some hospitals may find it worthwhile to subscribe to an existing computerized system at another hospital in their region. UCSF will be making its system available by subscription to nearby Children’s Hospital of Oakland, Dr. Cucina said.
Barriers can be enormous for a dissatisfied hospital that wants to exit an unsatisfactory implemented EHR system, Dr. Cucina noted.
“Ask yourself: Does the software really stink, or is your implementation not so good?” he said. He recommended that dissatisfied hospitals ask their EHR vendor to name several top performing hospitals that use its system. “Go visit them, with all of the questions you didn’t know you needed to ask before you purchased the system,” he added. TH
Larry Beresford is a freelance writer in San Francisco.
Implementing an electronic health record (EHR) remains a major concern for hospitals and their hospitalists, with even successful “go live” EHR rollouts accompanied by a host of difficulties, says Russ Cucina, MD, MS, hospitalist and medical director of information technology at the University of California at San Francisco (UCSF) Medical Center.
Speaking at the 17th annual Management of the Hospitalized Patient conference in downtown San Francisco on Nov. 1, sponsored by UCSF and co-sponsored by SHM, Dr. Cucina said training of physicians should be mandatory—along with a test of their competency—before they use EHR and computerized physician order entry. But even more important is the “elbow-side” support provided during the rollout, while post-implementation training will have more impact.
Dr. Cucina urged hospitalists to look at EHR implementation as a process, not an event, and to develop their own goals for EHR, expecting that their hospital’s goals will only partially overlap with what they need from the system.
“Take a minute and forget the computers,” he said to participants. “How would you like to change your day-to-day practice to be more efficient, safer, with less paperwork, fewer redundancies, and processes that actually support your work?” An EHR system can impose new and unwanted structural requirements on physicians’ workflow if they don’t speak up about how they want it to be structured.
Dr. Cucina told attendees that UCSF spent a lot of money on its EHR, but still thinks the investment was worth it. With federal “meaningful use” incentives and penalties looming in 2014 for hospitals’ participation in health information technology, EHR will continue to become more important. Some hospitals may find it worthwhile to subscribe to an existing computerized system at another hospital in their region. UCSF will be making its system available by subscription to nearby Children’s Hospital of Oakland, Dr. Cucina said.
Barriers can be enormous for a dissatisfied hospital that wants to exit an unsatisfactory implemented EHR system, Dr. Cucina noted.
“Ask yourself: Does the software really stink, or is your implementation not so good?” he said. He recommended that dissatisfied hospitals ask their EHR vendor to name several top performing hospitals that use its system. “Go visit them, with all of the questions you didn’t know you needed to ask before you purchased the system,” he added. TH
Larry Beresford is a freelance writer in San Francisco.
Patient‐Centered Blood Management
The transfusion of blood is the most frequently performed procedure in US hospitals.[1] Every year, approximately 14 million units of packed red blood cells are used,[2] and 1 in 10 hospitalized patients is transfused.[3] In a recent large retrospective analysis, the prevalence of anemia at hospital discharge was 12.8%.[4] In some patients hospitalized with heart failure or pneumonia, the prevalence of anemia may exceed 50%.[5, 6] Randomized controlled trials in multiple patient populations show that a restrictive transfusion strategy (using lower hemoglobin thresholds for transfusion) is safe and may be associated with less morbidity and mortality compared to a liberal transfusion strategy.[7, 8, 9] In a recent randomized clinical trial of patients with acute upper gastrointestinal bleeding, Villanueva and colleagues found a 4% increased risk of mortality when a liberal rather than a restrictive transfusion strategy was used.[10]
Transfusions are considered to be a high risk procedure, with morbidity and mortality increasing with each unit of blood received.[11] The costs associated with transfusion are substantial, with a median cost of $761 per unit (in 2010 dollars), which translates into >$11 billion annually for red cells alone.[12] Despite this, health outcomes research shows that more than half of red cell transfusions may be inappropriate.[13] Furthermore, there is wide variation in practice that is unexplained by patient characteristics.[14, 15] Given the financial and human costs, the status quo of overuse and practice variation is no longer acceptable.
The traditional focus of transfusion medicine, blood banks, and blood utilization committees has been on ensuring that we have an adequate supply of product (ie, blood components) and safe and reliable methods of administering the product. The work that has been done to secure the supply of blood components and the safety of transfusion is both necessary and laudable. More recently, attention has focused on the promise of a restrictive approach to transfusion.[7, 8, 9] This approach, in addition to easing the supply side, has the potential to improve patient care by avoiding transfusions in situations where the probability of harm may exceed the probability of benefit. The American Medical Association and the Joint Commission have recently identified blood transfusions as 1 of 5 overused medical procedures that pose a quality and safety concern.[16] The Society for Hospital Medicine recognizes blood overutilization as a high priority issue by urging avoidance of red blood cell transfusions for arbitrary hemoglobin levels in their Choosing Wisely campaign.[17]
A transformational next step is to move beyond the decision of whether and when to transfuse blood components and to focus on patient blood management.
WHAT IS PATIENT BLOOD MANAGEMENT?
Patient‐centered blood management (PBM) aspires to improve patient outcomes by actively managing the patient's own blood and hematopoietic system recognizing that the transfusion of blood components is but 1 of many therapeutic options. PBM is a multimodal, multidisciplinary effort and is defined as the timely application of evidence‐based medical and surgical concepts designed to maintain hemoglobin concentration, optimize hemostasis, and minimize blood loss in an effort to improve patient outcomes.[18] These principles are shown in Figure 1. PBM strategies should be implemented in surgical and nonsurgical settings in virtually all stages of patient care.[18, 19] These strategies fall into 4 general categories: anemia management, coagulation optimization, blood conservation, and patient‐centered decision making (Table 1).

Patient Blood Management Strategies | |
---|---|
| |
Managing anemia | Optimizing coagulation |
Create methods for early and ongoing detection of anemia | Evaluate both quantitative and qualitative measures to assess true coagulation status |
Employ timely evidence‐based pharmaceutical and nutritional intervention to support erythropoiesis | Employ goal‐directed therapy to correct coagulation abnormalities |
Determine causes and contributing factors of anemia | Accurately assess true cause of bleeding dysfunction |
Apply evidence‐based rationale for use of red cells | Apply evidence‐based rationale for use of plasma |
Enhance physiologic tolerance of anemia by minimizing oxygen consumption | |
Interdisciplinary blood conservation modalities | Patient‐centered decision making |
Adopt precise and meticulous surgical technique using all available methods of hemostasis | Listen to patient needs, desires, and concerns |
Rapidly diagnose and promptly arrest blood loss in all situations | Explore treatment possibilities, provide patient with current information about all PBM interventions |
Employ appropriate intraoperative blood conservation modalities in an evidence‐based fashion | Inform patients of risks, benefits, and alternatives of treatment choices |
Use available intra‐ and postoperative autologous blood conservation modalities | Integrate patient values and autonomy in decision making, decide together on a course of action, and tailor a plan of care that incorporates patient choice |
Use methods to measure and assess hemoglobin loss | Document and communicate patient preferences |
Control diagnostic blood loss |
The appropriate use of these tools as part of an evidence‐based, multidisciplinary, patient‐focused program has the potential to reduce transfusions and improve patient outcomes.[18, 19, 20] The value of PBM programs as tools for improved outcomes has been endorsed by many regulatory and professional organizations including the American Association of Blood Banks,[21] the Joint Commission,[22] and the US Department of Health and Human Services.[23] There are currently 92 self‐identified PBM Programs in the United States.[18] Internationally, initiatives are underway to bring about change and implement PBM. In 2008, the Western Australia Department of Health implemented a comprehensive health‐systemwide PBM program. As a result of this program, despite increasing activity, red blood cell utilization to the entire state progressively decreased from 70,103 units in 2008 to 65,742 units in 2011.[24]
Although transfusion rates are an easy end point to measure, PBM's ultimate aim is to improve patient outcomes, not simply lower transfusion rates. To date, randomized clinical trials have not been performed comparing patient populations managed with PBM principles to a control arm. However, in large joint arthroplasty, a PBM approach was associated with decreased length of stay, decreased readmission, in addition to a decreased transfusion rate compared to historical controls.[25] Similar findings have been described in other patient populations when comparing Jehovah's Witnesses patients to non‐Jehovah's Witnesses patients.[26]
ANEMIA MANAGEMENT
Anemia has been identified as an independent predictor of morbidity, including increased postoperative infection, length of stay, and mortality.[27] The presence of anemia is also a risk factor for blood transfusion.[22] However, transfusion has not been proven to decrease the morbidity and mortality associated with anemia. Anemia is a highly prevalent finding in both medical and surgical patients.[3] Its prevalence increases after the age 50 years, to over 20% in the elderly (85 years).[28] Patients should be screened and evaluated for anemia throughout their course of care.[20] An audit of more than 9000 patients undergoing elective orthopedic surgery found that more than one‐third of patients were considered to be anemic (hemoglobin <13 g/dL) during preadmission testing.[29] Despite the association with negative outcomes, preexisting anemia is often ignored and remains untreated.[30]
PBM includes the identification of patients at risk of anemia and development of a treatment plan. The detection, evaluation, and correction of preoperative anemia should be undertaken 3 to 4 weeks before elective surgery, so treatment can be initiated prior to surgery with appropriate therapy.[31] Management of anemia consists of treating the underlying cause and use of hematinic agents to rapidly restore hemoglobin levels to normal.[20] Anemia therapy, which often includes iron supplementation and erythropoietic‐stimulating drugs, increases red blood cell mass, thus reducing or eliminating the need for allogenic blood.[32] An overview of the management of preoperative anemia can be found in Figure 2.

Available evidence suggests that in many clinical situations, transfusion of red blood cells for modest anemia does not improve outcomes and may cause harm.[7, 8, 9, 10] Although using transfusion trigger hemoglobin levels of 7 to 8 g/dL appears to be preferable to using triggers of 9 to 10 g/dL, we have no high‐quality evidence to suggest what, if any, the optimal trigger should be. Furthermore, although the traditional rationale for red cell transfusion is to improve tissue oxygen delivery, some evidence suggests that tissue oxygen delivery is maintained even at hemoglobin levels as low as 5 g/dL.[33] Available evidence suggests that for nonhemorrhaging patients, routinely transfusing at a hemoglobin level of greater than 7 to 8 g/dL should be avoided. Whether a hemoglobin of 8, 7, 6, or 5 g/dL should serve as a trigger for transfusion is unclear. Our recommendation is to focus less on the number and more on the patient with regard to assessing symptoms and treatment preferences.
OPTIMIZING COAGULATION
Prior to surgery, patients should be screened for bleeding disorders by taking a structured bleeding history and performing coagulation testing if areas of concern arise. The first‐line coagulation tests commonly used are activated partial thromboplastin time and prothrombin time.[34] Testing may also be considered in patients with conditions potentially associated with hemorrhage such as liver disease, sepsis, diffuse intravascular coagulation, preeclampsia, cholestasis, and poor nutritional states.[35]
Point‐of‐care (POC) testing for rapid testing of hemostatic function can provide fast and accurate identification of coagulation abnormalities. Platelet function has been assessed using impedance or turbidimetric aggregometry testing of whole‐blood samples. Viscoelastic tests using thromboelastometry and thromboelastography measure time and dynamics of clot formation and stability of clots over time.[36] POC coagulation testing has shown positive outcomes in surgery, critical care, organ transplantation, and trauma patients.[36] In surgical and organ transplant patients, POC testing has been shown to lower perioperative blood losses and decrease the use of allogenic transfusions.
Protocols are needed for discontinuing drugs that may affect coagulation or increase bleeding such as warfarin, aspirin, clopidogrel, herbal supplements,[32] low molecular weight heparins, selective factor Xa inhibitors, and direct thrombin inhibitors.[36] Interruption of oral anticoagulant therapy provides gradual reduction of the coagulation effects of warfarin but provides more rapid reduction from agents such as dabigatran.[37] Warfarin‐treated patients in emergency situations, such as excessive bleeding, emergent surgery, or international normalized ratio (INR) >10 require rapid anticoagulation reversal that cannot be achieved by drug discontinuation alone. Vitamin K (phytonadione) therapy can be used in these situations and may be given intravenously or orally; however, the intramuscular and subcutaneous routes are not recommended.[37]
Fresh frozen plasma (FFP) provides fast, partial reversal of coagulopathy by replacement of factors II, VII, IX, and X; however, volume overload may make it difficult to administer an adequate FFP dose. In patients with very high INRs, replacement of hemostatic levels of these factors cannot be achieved with tolerable doses of FFP.[37] Prothrombin complex concentrates (PCC) are an alternative to FFP for reversal of warfarin and other oral anticoagulants.[37] Both 3‐factor PCC and 4‐factor PCC products are available, all containing factors II, IX, and X with variable amounts of FVII.[37] The 4 factor products provide larger amounts of factor VII compared to the 3 factor products.[37] In studies comparing PCCs to FFP, PCCs showed superior efficacy in decreasing time to INR correction, with a lower risk of thrombotic adverse events.[37]
Although some aspects of optimizing coagulation are well within the domain of hospital medicine, others require collaboration with hematology. As with all aspects of patient blood management, the optimal approach is often multidisciplinary and multimodal.
INTERDISCIPLINARY BLOOD CONSERVATION MODALITIES
The minimization of intraoperative bleeding is one of the cornerstones of effective PBM. Perioperative blood loss is an important factor in increasing postoperative morbidity and mortality.[19] Blood loss during surgery increases patient exposure to blood transfusions and their associated risks.[27] In postoperative patients, blood transfusion has been shown to be an independent risk factor for respiratory complications, infection, and intensive care unit (ICU) admissions. Patients receiving more than 2 U of blood had twice the risk of complications and ICU admissions.[39]
The management of surgical bleeding requires multiple techniques, including excellent surgical technique, the use of minimally invasive surgery, reinfusion of shed blood, and the use of topical hemostatic agents. Meticulous surgical technique is the cornerstone of intraoperative blood conservation.[32] During surgery, various techniques can be used to help decrease allogeneic blood exposure. These include techniques such as intraoperative blood recovery and acute normovolemic hemodilution.[40] Energy‐based technologies, such as electrosurgery, harmonic scalpels, argon beam coagulation, and radiofrequency technology have also been used to aid in hemostasis.[41] Interventions such as pharmacologic agents and topical hemostatic/sealant agents can also be utilized to minimize intraoperative blood loss. Not surprisingly, operative blood loss has been associated with an increased risk of death.[42] Blood loss and allogeneic blood transfusion can be greatly reduced with the utilization of an appropriate combination of therapies.
Hospital‐acquired anemia is a common complication affecting almost two‐thirds of patients admitted to the hospital. Although anemia of chronic disease is the leading cause of hospital‐acquired anemia, phlebotomy‐induced blood loss is an important contributing factor.[43] In critical care patients, phlebotomy volume is an independent predictor of transfusion requirements. On average, these patients undergo 4 to 5 blood draws per day.[44] Healthcare professionals can help decrease the development of hospital‐acquired anemia by employing strategies aimed at decreasing phlebotomy blood loss.[32] Losses in the range of 41 to 65 mL of blood per day have been reported in the medical literature and are associated with development of anemia.[45] Phlebotomy blood loss can be reduced by strategies that include eliminating arterial line blood discard, using small volume (ie, pediatric size) blood collection tubes, and ordering laboratory tests only when clinically justified.[45]
PATIENT‐CENTERED DECISION MAKING
Patient‐centered medicine is the practice of taking into account patients' individual preferences, objectives, and values.[46] Physicians are responsible for providing patients with complete and understandable information regarding treatment, and potential benefits and risks of available treatment options. Patients, in turn, must communicate their preferences and feelings with regard to their treatment.[47] A recent observational study by Weiner confirmed that employing theses practices is associated with improved health outcomes.[48]
An individualized approach to PBM helps ensure the right fit for each individual patient by informing them of risks, benefits, and alternatives of treatment choices and listening to their needs, desires, and concerns. Patients may have specific religious or cultural factors that may need to be considered. Some patients, such as Jehovah's Witnesses, decline blood products and may refuse agents derived from human or animal plasma. Some patients from other cultural or religious backgrounds may refuse agents that have factors derived from a specific animal.
Informed consent for transfusions is often obtained via a printed form offered without discussion with the patient by clerical or nursing staff. Obtaining a patient's signature to comply with Joint Commission and CMS mandates is too often the goal of this process. True informed consent requires that patients understand treatments and are informed of both the possible benefits and risks of the proposed treatment. Patients should also be informed of available treatment alternatives.[27] The benefit of transfusions are sometimes overstated, whereas the risks, such as transfusion‐related acute lung injury and transfusion‐associated circulatory overload, are often overlooked.[49] A comprehensive informed consent process, including a frank and open discussion between physician and patient, is a vital component of patient‐centered decision making.
THE HOSPITALIST'S ROLE IN PBM
Hospitalists often have the responsibility for prescribing and obtaining consent for the administration of blood components. Therefore, understanding the complexities that surround PBM and the transfusion process, including the potential for harm vs the potential for benefit, as well as the economic impact of transfusions, are essential for providing effective patient care.
Although hospitalists are not primarily based in the operating room, they are uniquely positioned to champion the value of PBM throughout their institution. Many hospitalists play a vital role in preoperative anemia detection and management via clinical and administrative roles in preadmission testing. In addition, hospitalists can serve as the connectors that bring anesthesiologists, surgeons, and others to the table to explore ways to decrease the widespread incidence of hospital‐acquired anemia. Improving perioperative blood conservation, optimizing coagulation, and managing anemia all require a multidisciplinary approach.
Hospitalists can play a major role in affecting gradual changes in organizational culture. Whether it is helping a subspecialist become comfortable with not reflexively transfusing at a threshold hemoglobin, or working with pharmacists and nurses to increase their comfort level with intravenous iron and vitamin K, a sustained effort with ongoing communication and education is required to change practice. Recognizing and engaging existing institutional stakeholders and existent efforts related to blood management (eg, transfusion committees, blood banks, blood utilization committees) is also essential to successful implementation of patient blood‐management principles. Hospitalists are often the ones who combine the credibility and the connections to the disparate stakeholders to drive the necessary culture change forward.
It is the dual role as both front‐line care provider and champion for quality improvement that uniquely positions hospitalists to lead implementation of PBM strategies. Improving quality and safety while decreasing costs, and centering decision making on the patient, are goals of effective PBM that are intimately aligned with the goals of hospital medicine. By developing, implementing, and practicing PBM, hospitalists have the opportunity to yet again lead the way in improving patient care within their organizations.
Disclosures
Disclosures: Maria Ashton received payments from the Society for the Advancement of Blood Management to assist in writing and reviewing this article and for travel to meetings. The authors report no other conflicts of interest.
- Agency for Healthcare Research and Quality. Healthcare Cost Utilization Project Statistical Brief #149. Most frequent procedures performed in U.S. hospitals 2010. http://www.hcup‐us.ahrq.gov/reports/statbriefs/sb149.pdf. Accessed July 18, 2013.
- Department of Health and Human Services. The 2011 national blood collection and utilization survey report. Washington, DC: DHHS, 2013.
- Agency for Healthcare Research and Quality. HCUP facts and figures: statistics on hospital‐based care in the United States, 2007. Available at: http://www.hcup‐us.ahrq.gov/reports/factsandfigures/2007/pdfs/FF_report_2007.pdf. Accessed June 16, 2013.
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- ABIM Foundation. Choosing Wisely. Available at: http://www.choosingwisely.org/. Accessed July 18, 2013.
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- Application of energy‐based technologies and topical hemostatic agents in the management of surgical hemostasis. Vascular. 2010;18(4):197–204. , , , et al.
- Effect of anemia and cardiovascular disease on surgical mortality and morbidity. Lancet. 1996;348:1055–1060. , , , et al.
- Hospital‐acquired anemia. J Med Assoc Thai. 2006;89(1):63–67. , .
- Anemia, transfusion, and phlebotomy practices in critically ill patients with prolonged ICU length of stay: a cohort study. Crit Care. 2006;10(5):R140. , , .
- Blood conservation in the critically ill patient. Anesthesiol Clin North Am. 2005;23(2):363–372. .
- Patient‐centered medicine and patient‐oriented research: improving health outcomes for individual patients. BMC Med Inform Decis Mak. 2013;13:6. .
- Supporting patients to make the best decisions. BMJ. 2011;342:775–777. , ,
- Patient‐centered decision making and health care outcomes: an observational study. Ann Intern Med. 2013;158(8):573–579. .
- Informed consent for blood transfusion: what do medicine residents tell? What do patients understand? Am J Clin Pathol. 2012;138(4):559–565. , , , et al.
The transfusion of blood is the most frequently performed procedure in US hospitals.[1] Every year, approximately 14 million units of packed red blood cells are used,[2] and 1 in 10 hospitalized patients is transfused.[3] In a recent large retrospective analysis, the prevalence of anemia at hospital discharge was 12.8%.[4] In some patients hospitalized with heart failure or pneumonia, the prevalence of anemia may exceed 50%.[5, 6] Randomized controlled trials in multiple patient populations show that a restrictive transfusion strategy (using lower hemoglobin thresholds for transfusion) is safe and may be associated with less morbidity and mortality compared to a liberal transfusion strategy.[7, 8, 9] In a recent randomized clinical trial of patients with acute upper gastrointestinal bleeding, Villanueva and colleagues found a 4% increased risk of mortality when a liberal rather than a restrictive transfusion strategy was used.[10]
Transfusions are considered to be a high risk procedure, with morbidity and mortality increasing with each unit of blood received.[11] The costs associated with transfusion are substantial, with a median cost of $761 per unit (in 2010 dollars), which translates into >$11 billion annually for red cells alone.[12] Despite this, health outcomes research shows that more than half of red cell transfusions may be inappropriate.[13] Furthermore, there is wide variation in practice that is unexplained by patient characteristics.[14, 15] Given the financial and human costs, the status quo of overuse and practice variation is no longer acceptable.
The traditional focus of transfusion medicine, blood banks, and blood utilization committees has been on ensuring that we have an adequate supply of product (ie, blood components) and safe and reliable methods of administering the product. The work that has been done to secure the supply of blood components and the safety of transfusion is both necessary and laudable. More recently, attention has focused on the promise of a restrictive approach to transfusion.[7, 8, 9] This approach, in addition to easing the supply side, has the potential to improve patient care by avoiding transfusions in situations where the probability of harm may exceed the probability of benefit. The American Medical Association and the Joint Commission have recently identified blood transfusions as 1 of 5 overused medical procedures that pose a quality and safety concern.[16] The Society for Hospital Medicine recognizes blood overutilization as a high priority issue by urging avoidance of red blood cell transfusions for arbitrary hemoglobin levels in their Choosing Wisely campaign.[17]
A transformational next step is to move beyond the decision of whether and when to transfuse blood components and to focus on patient blood management.
WHAT IS PATIENT BLOOD MANAGEMENT?
Patient‐centered blood management (PBM) aspires to improve patient outcomes by actively managing the patient's own blood and hematopoietic system recognizing that the transfusion of blood components is but 1 of many therapeutic options. PBM is a multimodal, multidisciplinary effort and is defined as the timely application of evidence‐based medical and surgical concepts designed to maintain hemoglobin concentration, optimize hemostasis, and minimize blood loss in an effort to improve patient outcomes.[18] These principles are shown in Figure 1. PBM strategies should be implemented in surgical and nonsurgical settings in virtually all stages of patient care.[18, 19] These strategies fall into 4 general categories: anemia management, coagulation optimization, blood conservation, and patient‐centered decision making (Table 1).

Patient Blood Management Strategies | |
---|---|
| |
Managing anemia | Optimizing coagulation |
Create methods for early and ongoing detection of anemia | Evaluate both quantitative and qualitative measures to assess true coagulation status |
Employ timely evidence‐based pharmaceutical and nutritional intervention to support erythropoiesis | Employ goal‐directed therapy to correct coagulation abnormalities |
Determine causes and contributing factors of anemia | Accurately assess true cause of bleeding dysfunction |
Apply evidence‐based rationale for use of red cells | Apply evidence‐based rationale for use of plasma |
Enhance physiologic tolerance of anemia by minimizing oxygen consumption | |
Interdisciplinary blood conservation modalities | Patient‐centered decision making |
Adopt precise and meticulous surgical technique using all available methods of hemostasis | Listen to patient needs, desires, and concerns |
Rapidly diagnose and promptly arrest blood loss in all situations | Explore treatment possibilities, provide patient with current information about all PBM interventions |
Employ appropriate intraoperative blood conservation modalities in an evidence‐based fashion | Inform patients of risks, benefits, and alternatives of treatment choices |
Use available intra‐ and postoperative autologous blood conservation modalities | Integrate patient values and autonomy in decision making, decide together on a course of action, and tailor a plan of care that incorporates patient choice |
Use methods to measure and assess hemoglobin loss | Document and communicate patient preferences |
Control diagnostic blood loss |
The appropriate use of these tools as part of an evidence‐based, multidisciplinary, patient‐focused program has the potential to reduce transfusions and improve patient outcomes.[18, 19, 20] The value of PBM programs as tools for improved outcomes has been endorsed by many regulatory and professional organizations including the American Association of Blood Banks,[21] the Joint Commission,[22] and the US Department of Health and Human Services.[23] There are currently 92 self‐identified PBM Programs in the United States.[18] Internationally, initiatives are underway to bring about change and implement PBM. In 2008, the Western Australia Department of Health implemented a comprehensive health‐systemwide PBM program. As a result of this program, despite increasing activity, red blood cell utilization to the entire state progressively decreased from 70,103 units in 2008 to 65,742 units in 2011.[24]
Although transfusion rates are an easy end point to measure, PBM's ultimate aim is to improve patient outcomes, not simply lower transfusion rates. To date, randomized clinical trials have not been performed comparing patient populations managed with PBM principles to a control arm. However, in large joint arthroplasty, a PBM approach was associated with decreased length of stay, decreased readmission, in addition to a decreased transfusion rate compared to historical controls.[25] Similar findings have been described in other patient populations when comparing Jehovah's Witnesses patients to non‐Jehovah's Witnesses patients.[26]
ANEMIA MANAGEMENT
Anemia has been identified as an independent predictor of morbidity, including increased postoperative infection, length of stay, and mortality.[27] The presence of anemia is also a risk factor for blood transfusion.[22] However, transfusion has not been proven to decrease the morbidity and mortality associated with anemia. Anemia is a highly prevalent finding in both medical and surgical patients.[3] Its prevalence increases after the age 50 years, to over 20% in the elderly (85 years).[28] Patients should be screened and evaluated for anemia throughout their course of care.[20] An audit of more than 9000 patients undergoing elective orthopedic surgery found that more than one‐third of patients were considered to be anemic (hemoglobin <13 g/dL) during preadmission testing.[29] Despite the association with negative outcomes, preexisting anemia is often ignored and remains untreated.[30]
PBM includes the identification of patients at risk of anemia and development of a treatment plan. The detection, evaluation, and correction of preoperative anemia should be undertaken 3 to 4 weeks before elective surgery, so treatment can be initiated prior to surgery with appropriate therapy.[31] Management of anemia consists of treating the underlying cause and use of hematinic agents to rapidly restore hemoglobin levels to normal.[20] Anemia therapy, which often includes iron supplementation and erythropoietic‐stimulating drugs, increases red blood cell mass, thus reducing or eliminating the need for allogenic blood.[32] An overview of the management of preoperative anemia can be found in Figure 2.

Available evidence suggests that in many clinical situations, transfusion of red blood cells for modest anemia does not improve outcomes and may cause harm.[7, 8, 9, 10] Although using transfusion trigger hemoglobin levels of 7 to 8 g/dL appears to be preferable to using triggers of 9 to 10 g/dL, we have no high‐quality evidence to suggest what, if any, the optimal trigger should be. Furthermore, although the traditional rationale for red cell transfusion is to improve tissue oxygen delivery, some evidence suggests that tissue oxygen delivery is maintained even at hemoglobin levels as low as 5 g/dL.[33] Available evidence suggests that for nonhemorrhaging patients, routinely transfusing at a hemoglobin level of greater than 7 to 8 g/dL should be avoided. Whether a hemoglobin of 8, 7, 6, or 5 g/dL should serve as a trigger for transfusion is unclear. Our recommendation is to focus less on the number and more on the patient with regard to assessing symptoms and treatment preferences.
OPTIMIZING COAGULATION
Prior to surgery, patients should be screened for bleeding disorders by taking a structured bleeding history and performing coagulation testing if areas of concern arise. The first‐line coagulation tests commonly used are activated partial thromboplastin time and prothrombin time.[34] Testing may also be considered in patients with conditions potentially associated with hemorrhage such as liver disease, sepsis, diffuse intravascular coagulation, preeclampsia, cholestasis, and poor nutritional states.[35]
Point‐of‐care (POC) testing for rapid testing of hemostatic function can provide fast and accurate identification of coagulation abnormalities. Platelet function has been assessed using impedance or turbidimetric aggregometry testing of whole‐blood samples. Viscoelastic tests using thromboelastometry and thromboelastography measure time and dynamics of clot formation and stability of clots over time.[36] POC coagulation testing has shown positive outcomes in surgery, critical care, organ transplantation, and trauma patients.[36] In surgical and organ transplant patients, POC testing has been shown to lower perioperative blood losses and decrease the use of allogenic transfusions.
Protocols are needed for discontinuing drugs that may affect coagulation or increase bleeding such as warfarin, aspirin, clopidogrel, herbal supplements,[32] low molecular weight heparins, selective factor Xa inhibitors, and direct thrombin inhibitors.[36] Interruption of oral anticoagulant therapy provides gradual reduction of the coagulation effects of warfarin but provides more rapid reduction from agents such as dabigatran.[37] Warfarin‐treated patients in emergency situations, such as excessive bleeding, emergent surgery, or international normalized ratio (INR) >10 require rapid anticoagulation reversal that cannot be achieved by drug discontinuation alone. Vitamin K (phytonadione) therapy can be used in these situations and may be given intravenously or orally; however, the intramuscular and subcutaneous routes are not recommended.[37]
Fresh frozen plasma (FFP) provides fast, partial reversal of coagulopathy by replacement of factors II, VII, IX, and X; however, volume overload may make it difficult to administer an adequate FFP dose. In patients with very high INRs, replacement of hemostatic levels of these factors cannot be achieved with tolerable doses of FFP.[37] Prothrombin complex concentrates (PCC) are an alternative to FFP for reversal of warfarin and other oral anticoagulants.[37] Both 3‐factor PCC and 4‐factor PCC products are available, all containing factors II, IX, and X with variable amounts of FVII.[37] The 4 factor products provide larger amounts of factor VII compared to the 3 factor products.[37] In studies comparing PCCs to FFP, PCCs showed superior efficacy in decreasing time to INR correction, with a lower risk of thrombotic adverse events.[37]
Although some aspects of optimizing coagulation are well within the domain of hospital medicine, others require collaboration with hematology. As with all aspects of patient blood management, the optimal approach is often multidisciplinary and multimodal.
INTERDISCIPLINARY BLOOD CONSERVATION MODALITIES
The minimization of intraoperative bleeding is one of the cornerstones of effective PBM. Perioperative blood loss is an important factor in increasing postoperative morbidity and mortality.[19] Blood loss during surgery increases patient exposure to blood transfusions and their associated risks.[27] In postoperative patients, blood transfusion has been shown to be an independent risk factor for respiratory complications, infection, and intensive care unit (ICU) admissions. Patients receiving more than 2 U of blood had twice the risk of complications and ICU admissions.[39]
The management of surgical bleeding requires multiple techniques, including excellent surgical technique, the use of minimally invasive surgery, reinfusion of shed blood, and the use of topical hemostatic agents. Meticulous surgical technique is the cornerstone of intraoperative blood conservation.[32] During surgery, various techniques can be used to help decrease allogeneic blood exposure. These include techniques such as intraoperative blood recovery and acute normovolemic hemodilution.[40] Energy‐based technologies, such as electrosurgery, harmonic scalpels, argon beam coagulation, and radiofrequency technology have also been used to aid in hemostasis.[41] Interventions such as pharmacologic agents and topical hemostatic/sealant agents can also be utilized to minimize intraoperative blood loss. Not surprisingly, operative blood loss has been associated with an increased risk of death.[42] Blood loss and allogeneic blood transfusion can be greatly reduced with the utilization of an appropriate combination of therapies.
Hospital‐acquired anemia is a common complication affecting almost two‐thirds of patients admitted to the hospital. Although anemia of chronic disease is the leading cause of hospital‐acquired anemia, phlebotomy‐induced blood loss is an important contributing factor.[43] In critical care patients, phlebotomy volume is an independent predictor of transfusion requirements. On average, these patients undergo 4 to 5 blood draws per day.[44] Healthcare professionals can help decrease the development of hospital‐acquired anemia by employing strategies aimed at decreasing phlebotomy blood loss.[32] Losses in the range of 41 to 65 mL of blood per day have been reported in the medical literature and are associated with development of anemia.[45] Phlebotomy blood loss can be reduced by strategies that include eliminating arterial line blood discard, using small volume (ie, pediatric size) blood collection tubes, and ordering laboratory tests only when clinically justified.[45]
PATIENT‐CENTERED DECISION MAKING
Patient‐centered medicine is the practice of taking into account patients' individual preferences, objectives, and values.[46] Physicians are responsible for providing patients with complete and understandable information regarding treatment, and potential benefits and risks of available treatment options. Patients, in turn, must communicate their preferences and feelings with regard to their treatment.[47] A recent observational study by Weiner confirmed that employing theses practices is associated with improved health outcomes.[48]
An individualized approach to PBM helps ensure the right fit for each individual patient by informing them of risks, benefits, and alternatives of treatment choices and listening to their needs, desires, and concerns. Patients may have specific religious or cultural factors that may need to be considered. Some patients, such as Jehovah's Witnesses, decline blood products and may refuse agents derived from human or animal plasma. Some patients from other cultural or religious backgrounds may refuse agents that have factors derived from a specific animal.
Informed consent for transfusions is often obtained via a printed form offered without discussion with the patient by clerical or nursing staff. Obtaining a patient's signature to comply with Joint Commission and CMS mandates is too often the goal of this process. True informed consent requires that patients understand treatments and are informed of both the possible benefits and risks of the proposed treatment. Patients should also be informed of available treatment alternatives.[27] The benefit of transfusions are sometimes overstated, whereas the risks, such as transfusion‐related acute lung injury and transfusion‐associated circulatory overload, are often overlooked.[49] A comprehensive informed consent process, including a frank and open discussion between physician and patient, is a vital component of patient‐centered decision making.
THE HOSPITALIST'S ROLE IN PBM
Hospitalists often have the responsibility for prescribing and obtaining consent for the administration of blood components. Therefore, understanding the complexities that surround PBM and the transfusion process, including the potential for harm vs the potential for benefit, as well as the economic impact of transfusions, are essential for providing effective patient care.
Although hospitalists are not primarily based in the operating room, they are uniquely positioned to champion the value of PBM throughout their institution. Many hospitalists play a vital role in preoperative anemia detection and management via clinical and administrative roles in preadmission testing. In addition, hospitalists can serve as the connectors that bring anesthesiologists, surgeons, and others to the table to explore ways to decrease the widespread incidence of hospital‐acquired anemia. Improving perioperative blood conservation, optimizing coagulation, and managing anemia all require a multidisciplinary approach.
Hospitalists can play a major role in affecting gradual changes in organizational culture. Whether it is helping a subspecialist become comfortable with not reflexively transfusing at a threshold hemoglobin, or working with pharmacists and nurses to increase their comfort level with intravenous iron and vitamin K, a sustained effort with ongoing communication and education is required to change practice. Recognizing and engaging existing institutional stakeholders and existent efforts related to blood management (eg, transfusion committees, blood banks, blood utilization committees) is also essential to successful implementation of patient blood‐management principles. Hospitalists are often the ones who combine the credibility and the connections to the disparate stakeholders to drive the necessary culture change forward.
It is the dual role as both front‐line care provider and champion for quality improvement that uniquely positions hospitalists to lead implementation of PBM strategies. Improving quality and safety while decreasing costs, and centering decision making on the patient, are goals of effective PBM that are intimately aligned with the goals of hospital medicine. By developing, implementing, and practicing PBM, hospitalists have the opportunity to yet again lead the way in improving patient care within their organizations.
Disclosures
Disclosures: Maria Ashton received payments from the Society for the Advancement of Blood Management to assist in writing and reviewing this article and for travel to meetings. The authors report no other conflicts of interest.
The transfusion of blood is the most frequently performed procedure in US hospitals.[1] Every year, approximately 14 million units of packed red blood cells are used,[2] and 1 in 10 hospitalized patients is transfused.[3] In a recent large retrospective analysis, the prevalence of anemia at hospital discharge was 12.8%.[4] In some patients hospitalized with heart failure or pneumonia, the prevalence of anemia may exceed 50%.[5, 6] Randomized controlled trials in multiple patient populations show that a restrictive transfusion strategy (using lower hemoglobin thresholds for transfusion) is safe and may be associated with less morbidity and mortality compared to a liberal transfusion strategy.[7, 8, 9] In a recent randomized clinical trial of patients with acute upper gastrointestinal bleeding, Villanueva and colleagues found a 4% increased risk of mortality when a liberal rather than a restrictive transfusion strategy was used.[10]
Transfusions are considered to be a high risk procedure, with morbidity and mortality increasing with each unit of blood received.[11] The costs associated with transfusion are substantial, with a median cost of $761 per unit (in 2010 dollars), which translates into >$11 billion annually for red cells alone.[12] Despite this, health outcomes research shows that more than half of red cell transfusions may be inappropriate.[13] Furthermore, there is wide variation in practice that is unexplained by patient characteristics.[14, 15] Given the financial and human costs, the status quo of overuse and practice variation is no longer acceptable.
The traditional focus of transfusion medicine, blood banks, and blood utilization committees has been on ensuring that we have an adequate supply of product (ie, blood components) and safe and reliable methods of administering the product. The work that has been done to secure the supply of blood components and the safety of transfusion is both necessary and laudable. More recently, attention has focused on the promise of a restrictive approach to transfusion.[7, 8, 9] This approach, in addition to easing the supply side, has the potential to improve patient care by avoiding transfusions in situations where the probability of harm may exceed the probability of benefit. The American Medical Association and the Joint Commission have recently identified blood transfusions as 1 of 5 overused medical procedures that pose a quality and safety concern.[16] The Society for Hospital Medicine recognizes blood overutilization as a high priority issue by urging avoidance of red blood cell transfusions for arbitrary hemoglobin levels in their Choosing Wisely campaign.[17]
A transformational next step is to move beyond the decision of whether and when to transfuse blood components and to focus on patient blood management.
WHAT IS PATIENT BLOOD MANAGEMENT?
Patient‐centered blood management (PBM) aspires to improve patient outcomes by actively managing the patient's own blood and hematopoietic system recognizing that the transfusion of blood components is but 1 of many therapeutic options. PBM is a multimodal, multidisciplinary effort and is defined as the timely application of evidence‐based medical and surgical concepts designed to maintain hemoglobin concentration, optimize hemostasis, and minimize blood loss in an effort to improve patient outcomes.[18] These principles are shown in Figure 1. PBM strategies should be implemented in surgical and nonsurgical settings in virtually all stages of patient care.[18, 19] These strategies fall into 4 general categories: anemia management, coagulation optimization, blood conservation, and patient‐centered decision making (Table 1).

Patient Blood Management Strategies | |
---|---|
| |
Managing anemia | Optimizing coagulation |
Create methods for early and ongoing detection of anemia | Evaluate both quantitative and qualitative measures to assess true coagulation status |
Employ timely evidence‐based pharmaceutical and nutritional intervention to support erythropoiesis | Employ goal‐directed therapy to correct coagulation abnormalities |
Determine causes and contributing factors of anemia | Accurately assess true cause of bleeding dysfunction |
Apply evidence‐based rationale for use of red cells | Apply evidence‐based rationale for use of plasma |
Enhance physiologic tolerance of anemia by minimizing oxygen consumption | |
Interdisciplinary blood conservation modalities | Patient‐centered decision making |
Adopt precise and meticulous surgical technique using all available methods of hemostasis | Listen to patient needs, desires, and concerns |
Rapidly diagnose and promptly arrest blood loss in all situations | Explore treatment possibilities, provide patient with current information about all PBM interventions |
Employ appropriate intraoperative blood conservation modalities in an evidence‐based fashion | Inform patients of risks, benefits, and alternatives of treatment choices |
Use available intra‐ and postoperative autologous blood conservation modalities | Integrate patient values and autonomy in decision making, decide together on a course of action, and tailor a plan of care that incorporates patient choice |
Use methods to measure and assess hemoglobin loss | Document and communicate patient preferences |
Control diagnostic blood loss |
The appropriate use of these tools as part of an evidence‐based, multidisciplinary, patient‐focused program has the potential to reduce transfusions and improve patient outcomes.[18, 19, 20] The value of PBM programs as tools for improved outcomes has been endorsed by many regulatory and professional organizations including the American Association of Blood Banks,[21] the Joint Commission,[22] and the US Department of Health and Human Services.[23] There are currently 92 self‐identified PBM Programs in the United States.[18] Internationally, initiatives are underway to bring about change and implement PBM. In 2008, the Western Australia Department of Health implemented a comprehensive health‐systemwide PBM program. As a result of this program, despite increasing activity, red blood cell utilization to the entire state progressively decreased from 70,103 units in 2008 to 65,742 units in 2011.[24]
Although transfusion rates are an easy end point to measure, PBM's ultimate aim is to improve patient outcomes, not simply lower transfusion rates. To date, randomized clinical trials have not been performed comparing patient populations managed with PBM principles to a control arm. However, in large joint arthroplasty, a PBM approach was associated with decreased length of stay, decreased readmission, in addition to a decreased transfusion rate compared to historical controls.[25] Similar findings have been described in other patient populations when comparing Jehovah's Witnesses patients to non‐Jehovah's Witnesses patients.[26]
ANEMIA MANAGEMENT
Anemia has been identified as an independent predictor of morbidity, including increased postoperative infection, length of stay, and mortality.[27] The presence of anemia is also a risk factor for blood transfusion.[22] However, transfusion has not been proven to decrease the morbidity and mortality associated with anemia. Anemia is a highly prevalent finding in both medical and surgical patients.[3] Its prevalence increases after the age 50 years, to over 20% in the elderly (85 years).[28] Patients should be screened and evaluated for anemia throughout their course of care.[20] An audit of more than 9000 patients undergoing elective orthopedic surgery found that more than one‐third of patients were considered to be anemic (hemoglobin <13 g/dL) during preadmission testing.[29] Despite the association with negative outcomes, preexisting anemia is often ignored and remains untreated.[30]
PBM includes the identification of patients at risk of anemia and development of a treatment plan. The detection, evaluation, and correction of preoperative anemia should be undertaken 3 to 4 weeks before elective surgery, so treatment can be initiated prior to surgery with appropriate therapy.[31] Management of anemia consists of treating the underlying cause and use of hematinic agents to rapidly restore hemoglobin levels to normal.[20] Anemia therapy, which often includes iron supplementation and erythropoietic‐stimulating drugs, increases red blood cell mass, thus reducing or eliminating the need for allogenic blood.[32] An overview of the management of preoperative anemia can be found in Figure 2.

Available evidence suggests that in many clinical situations, transfusion of red blood cells for modest anemia does not improve outcomes and may cause harm.[7, 8, 9, 10] Although using transfusion trigger hemoglobin levels of 7 to 8 g/dL appears to be preferable to using triggers of 9 to 10 g/dL, we have no high‐quality evidence to suggest what, if any, the optimal trigger should be. Furthermore, although the traditional rationale for red cell transfusion is to improve tissue oxygen delivery, some evidence suggests that tissue oxygen delivery is maintained even at hemoglobin levels as low as 5 g/dL.[33] Available evidence suggests that for nonhemorrhaging patients, routinely transfusing at a hemoglobin level of greater than 7 to 8 g/dL should be avoided. Whether a hemoglobin of 8, 7, 6, or 5 g/dL should serve as a trigger for transfusion is unclear. Our recommendation is to focus less on the number and more on the patient with regard to assessing symptoms and treatment preferences.
OPTIMIZING COAGULATION
Prior to surgery, patients should be screened for bleeding disorders by taking a structured bleeding history and performing coagulation testing if areas of concern arise. The first‐line coagulation tests commonly used are activated partial thromboplastin time and prothrombin time.[34] Testing may also be considered in patients with conditions potentially associated with hemorrhage such as liver disease, sepsis, diffuse intravascular coagulation, preeclampsia, cholestasis, and poor nutritional states.[35]
Point‐of‐care (POC) testing for rapid testing of hemostatic function can provide fast and accurate identification of coagulation abnormalities. Platelet function has been assessed using impedance or turbidimetric aggregometry testing of whole‐blood samples. Viscoelastic tests using thromboelastometry and thromboelastography measure time and dynamics of clot formation and stability of clots over time.[36] POC coagulation testing has shown positive outcomes in surgery, critical care, organ transplantation, and trauma patients.[36] In surgical and organ transplant patients, POC testing has been shown to lower perioperative blood losses and decrease the use of allogenic transfusions.
Protocols are needed for discontinuing drugs that may affect coagulation or increase bleeding such as warfarin, aspirin, clopidogrel, herbal supplements,[32] low molecular weight heparins, selective factor Xa inhibitors, and direct thrombin inhibitors.[36] Interruption of oral anticoagulant therapy provides gradual reduction of the coagulation effects of warfarin but provides more rapid reduction from agents such as dabigatran.[37] Warfarin‐treated patients in emergency situations, such as excessive bleeding, emergent surgery, or international normalized ratio (INR) >10 require rapid anticoagulation reversal that cannot be achieved by drug discontinuation alone. Vitamin K (phytonadione) therapy can be used in these situations and may be given intravenously or orally; however, the intramuscular and subcutaneous routes are not recommended.[37]
Fresh frozen plasma (FFP) provides fast, partial reversal of coagulopathy by replacement of factors II, VII, IX, and X; however, volume overload may make it difficult to administer an adequate FFP dose. In patients with very high INRs, replacement of hemostatic levels of these factors cannot be achieved with tolerable doses of FFP.[37] Prothrombin complex concentrates (PCC) are an alternative to FFP for reversal of warfarin and other oral anticoagulants.[37] Both 3‐factor PCC and 4‐factor PCC products are available, all containing factors II, IX, and X with variable amounts of FVII.[37] The 4 factor products provide larger amounts of factor VII compared to the 3 factor products.[37] In studies comparing PCCs to FFP, PCCs showed superior efficacy in decreasing time to INR correction, with a lower risk of thrombotic adverse events.[37]
Although some aspects of optimizing coagulation are well within the domain of hospital medicine, others require collaboration with hematology. As with all aspects of patient blood management, the optimal approach is often multidisciplinary and multimodal.
INTERDISCIPLINARY BLOOD CONSERVATION MODALITIES
The minimization of intraoperative bleeding is one of the cornerstones of effective PBM. Perioperative blood loss is an important factor in increasing postoperative morbidity and mortality.[19] Blood loss during surgery increases patient exposure to blood transfusions and their associated risks.[27] In postoperative patients, blood transfusion has been shown to be an independent risk factor for respiratory complications, infection, and intensive care unit (ICU) admissions. Patients receiving more than 2 U of blood had twice the risk of complications and ICU admissions.[39]
The management of surgical bleeding requires multiple techniques, including excellent surgical technique, the use of minimally invasive surgery, reinfusion of shed blood, and the use of topical hemostatic agents. Meticulous surgical technique is the cornerstone of intraoperative blood conservation.[32] During surgery, various techniques can be used to help decrease allogeneic blood exposure. These include techniques such as intraoperative blood recovery and acute normovolemic hemodilution.[40] Energy‐based technologies, such as electrosurgery, harmonic scalpels, argon beam coagulation, and radiofrequency technology have also been used to aid in hemostasis.[41] Interventions such as pharmacologic agents and topical hemostatic/sealant agents can also be utilized to minimize intraoperative blood loss. Not surprisingly, operative blood loss has been associated with an increased risk of death.[42] Blood loss and allogeneic blood transfusion can be greatly reduced with the utilization of an appropriate combination of therapies.
Hospital‐acquired anemia is a common complication affecting almost two‐thirds of patients admitted to the hospital. Although anemia of chronic disease is the leading cause of hospital‐acquired anemia, phlebotomy‐induced blood loss is an important contributing factor.[43] In critical care patients, phlebotomy volume is an independent predictor of transfusion requirements. On average, these patients undergo 4 to 5 blood draws per day.[44] Healthcare professionals can help decrease the development of hospital‐acquired anemia by employing strategies aimed at decreasing phlebotomy blood loss.[32] Losses in the range of 41 to 65 mL of blood per day have been reported in the medical literature and are associated with development of anemia.[45] Phlebotomy blood loss can be reduced by strategies that include eliminating arterial line blood discard, using small volume (ie, pediatric size) blood collection tubes, and ordering laboratory tests only when clinically justified.[45]
PATIENT‐CENTERED DECISION MAKING
Patient‐centered medicine is the practice of taking into account patients' individual preferences, objectives, and values.[46] Physicians are responsible for providing patients with complete and understandable information regarding treatment, and potential benefits and risks of available treatment options. Patients, in turn, must communicate their preferences and feelings with regard to their treatment.[47] A recent observational study by Weiner confirmed that employing theses practices is associated with improved health outcomes.[48]
An individualized approach to PBM helps ensure the right fit for each individual patient by informing them of risks, benefits, and alternatives of treatment choices and listening to their needs, desires, and concerns. Patients may have specific religious or cultural factors that may need to be considered. Some patients, such as Jehovah's Witnesses, decline blood products and may refuse agents derived from human or animal plasma. Some patients from other cultural or religious backgrounds may refuse agents that have factors derived from a specific animal.
Informed consent for transfusions is often obtained via a printed form offered without discussion with the patient by clerical or nursing staff. Obtaining a patient's signature to comply with Joint Commission and CMS mandates is too often the goal of this process. True informed consent requires that patients understand treatments and are informed of both the possible benefits and risks of the proposed treatment. Patients should also be informed of available treatment alternatives.[27] The benefit of transfusions are sometimes overstated, whereas the risks, such as transfusion‐related acute lung injury and transfusion‐associated circulatory overload, are often overlooked.[49] A comprehensive informed consent process, including a frank and open discussion between physician and patient, is a vital component of patient‐centered decision making.
THE HOSPITALIST'S ROLE IN PBM
Hospitalists often have the responsibility for prescribing and obtaining consent for the administration of blood components. Therefore, understanding the complexities that surround PBM and the transfusion process, including the potential for harm vs the potential for benefit, as well as the economic impact of transfusions, are essential for providing effective patient care.
Although hospitalists are not primarily based in the operating room, they are uniquely positioned to champion the value of PBM throughout their institution. Many hospitalists play a vital role in preoperative anemia detection and management via clinical and administrative roles in preadmission testing. In addition, hospitalists can serve as the connectors that bring anesthesiologists, surgeons, and others to the table to explore ways to decrease the widespread incidence of hospital‐acquired anemia. Improving perioperative blood conservation, optimizing coagulation, and managing anemia all require a multidisciplinary approach.
Hospitalists can play a major role in affecting gradual changes in organizational culture. Whether it is helping a subspecialist become comfortable with not reflexively transfusing at a threshold hemoglobin, or working with pharmacists and nurses to increase their comfort level with intravenous iron and vitamin K, a sustained effort with ongoing communication and education is required to change practice. Recognizing and engaging existing institutional stakeholders and existent efforts related to blood management (eg, transfusion committees, blood banks, blood utilization committees) is also essential to successful implementation of patient blood‐management principles. Hospitalists are often the ones who combine the credibility and the connections to the disparate stakeholders to drive the necessary culture change forward.
It is the dual role as both front‐line care provider and champion for quality improvement that uniquely positions hospitalists to lead implementation of PBM strategies. Improving quality and safety while decreasing costs, and centering decision making on the patient, are goals of effective PBM that are intimately aligned with the goals of hospital medicine. By developing, implementing, and practicing PBM, hospitalists have the opportunity to yet again lead the way in improving patient care within their organizations.
Disclosures
Disclosures: Maria Ashton received payments from the Society for the Advancement of Blood Management to assist in writing and reviewing this article and for travel to meetings. The authors report no other conflicts of interest.
- Agency for Healthcare Research and Quality. Healthcare Cost Utilization Project Statistical Brief #149. Most frequent procedures performed in U.S. hospitals 2010. http://www.hcup‐us.ahrq.gov/reports/statbriefs/sb149.pdf. Accessed July 18, 2013.
- Department of Health and Human Services. The 2011 national blood collection and utilization survey report. Washington, DC: DHHS, 2013.
- Agency for Healthcare Research and Quality. HCUP facts and figures: statistics on hospital‐based care in the United States, 2007. Available at: http://www.hcup‐us.ahrq.gov/reports/factsandfigures/2007/pdfs/FF_report_2007.pdf. Accessed June 16, 2013.
- Prevalence and impact of anemia in hospitalized patients. South Med J. 2013;106(3):202–206. , , , , .
- Prevalence of anemia in patients admitted to hospital with a primary diagnosis of congestive heart failure. Int J Cardiol. 2004;96(1):79–87. , , , et al.
- The prevalence of anemia and its association with 90‐day mortality in hospitalized community‐acquired pneumonia. BMC Pulm Med. 2010;10:15. , , , et al.
- Transfusion thresholds and other strategies for guiding allogeneic red blood cell transfusion. Cochrane Database Syst Rev. 2012;(4):CD002042. , , .
- A multicenter, randomized, controlled clinical trial of transfusion requirements in critical care. Transfusion Requirements in Critical Care Investigators, Canadian Critical Care Trials Group. N Engl J Med. 1999;340(6):409–417. , , , et al.
- FOCUS Investigators. Liberal or restrictive transfusion in high‐risk patients after hip surgery. N Engl J Med. 2011;365(26):2453–2462. , , , et al.;
- Transfusion strategies for acute upper gastrointestinal bleeding. N Engl J Med. 2013;368:11–21. , , , et al.
- Morbidity and mortality risk associated with red blood cell and blood‐component transfusion in isolated coronary artery bypass grafting. Crit Care Med. 2006;34:1608–1616. , , , et al.
- Activity‐based costs of blood transfusions in surgical patients at four hospitals. Transfusion. 2010;50(4):753–765. , , , , , .
- International Consensus Conference on Transfusion Outcomes Group. Appropriateness of allogeneic red blood cell transfusion: the international consensus conference on transfusion outcomes. Transfus Med Rev. 2011;25(3):232–246. , , , et al.;
- Utilization of blood transfusion among older adults in the United States. Transfusion. 2011;51(4):710–718. , , , .
- Variation of blood transfusion in patients undergoing major noncardiac surgery. Ann Surg. 2013;257(2):266–278. , , , et al.
- The Joint Commission continues to study overuse issues. Jt Comm Perspect. 2012;32(5):4, 8.
- ABIM Foundation. Choosing Wisely. Available at: http://www.choosingwisely.org/. Accessed July 18, 2013.
- Society for the Advancement of Blood Management. Administrative and clinical standards for patient blood management programs. Englewood, New Jersey; 2012. Available at: http://www.sabm.org/publications. Accessed June 16, 2013.
- Patient blood management: a patient‐oriented approach to blood replacement with the goal of reducing anemia, blood loss and the need for blood transfusion in elective surgery. Transfus Med Hemother. 2012;39:67–72. .
- From bloodless surgery to patient blood management. Mt Sinai J Med. 2012;79(1):56–65. , , , et al.
- Red blood cell transfusion: a clinical practice guideline from the AABB. Ann Intern Med. 2012;157(1):49–58. , , , et al.
- The Joint Commission implementation guide for the joint commission patient blood management performance measures 2011. Available at: http://www.jointcommission.org/assets/1/6/PBM_Implementation_Guide_20110624.pdf. Accessed June, 16, 2013.
- U.S. Department of Health and Human Services. Advisory Committee on Blood Safety and Availability. Recommendations, November 2010. Available at: http://www.hhs.gov/ash/bloodsafety/advisorycommittee/recommendations/recommendations201011.pdf. Accessed June 16, 2013.
- Drivers for change: Western Australia Patient Blood Management Program (WA PBMP), World Health Assembly (WHA) and Advisory Committee on Blood Safety and Availability (ACBSA). Best Pract Res Clin Anaesthesiol. 2013;27(1):43–58. , , , .
- Effect of a patient blood management programme on preoperative anaemia, transfusion rate, and outcome after primary hip or knee arthroplasty: a quality improvement cycle. Br J Anaesth. 2012;108(6):943–952. , , .
- How good patient blood management leads to excellent outcomes in Jehovah's witness patients undergoing cardiac surgery. Interact Cardiovasc Thorac Surg. 2011;12(2):183–188. , , , et al.
- Anemia and patient blood management in hip and knee surgery. Anesthesiology. 2010;113:482–495. .
- Hematology Am Soc Hematol Educ Program 2005;528–532. , , , .
- Detection, evaluation, and management of preoperative anaemia in the elective orthopaedic surgical patient: NATA guidelines. Br J Anaesth. 2011;106(1):13–22. , , .
- Blood use in elective surgery: the Austrian benchmark study. Transfusion. 2007;47(8):1468–1480. , , , .
- Detection, evaluation, and management of anemia in the elective surgery patient. Anest Analg. 2005;101:1858–1861. , , , et al.
- Blood management: a primer for clinicians. Pharmacotherapy. 2007;27(10):1394–1411. , .
- Human cardiovascular and metabolic response to acute, severe isovolemic anemia. JAMA. 1998;279(3):217–221. , , , et al.
- Guidelines on the assessment of bleeding risk prior to surgery or invasive procedures. Br J Haematol. 2008;140:496–504. , , , et al.
- Routine preoperative coagulation tests: an outdated practice? Br J Anaesth. 2011;106(1):1–3. , , .
- Point‐of‐care coagulation management in intensive care medicine. Crit Care. 2013;17:218. , , .
- Pharmacologic interventions for reversing the effects of oral anticoagulants. Am J Health Syst Pharm. 2013;70(10 supp 1):S12–S21. .
- The combination of platelet‐enriched autologous plasma with bovine collagen and thrombin decreases the need for multiple blood transfusions in trauma patients with retroperitoneal bleeding. J Trauma. 2004;56(1):76–79. , , , .
- Indications and contraindications of cell salvage. Transfusion. 2004;44(12 suppl):40S–44S. .
- Application of energy‐based technologies and topical hemostatic agents in the management of surgical hemostasis. Vascular. 2010;18(4):197–204. , , , et al.
- Effect of anemia and cardiovascular disease on surgical mortality and morbidity. Lancet. 1996;348:1055–1060. , , , et al.
- Hospital‐acquired anemia. J Med Assoc Thai. 2006;89(1):63–67. , .
- Anemia, transfusion, and phlebotomy practices in critically ill patients with prolonged ICU length of stay: a cohort study. Crit Care. 2006;10(5):R140. , , .
- Blood conservation in the critically ill patient. Anesthesiol Clin North Am. 2005;23(2):363–372. .
- Patient‐centered medicine and patient‐oriented research: improving health outcomes for individual patients. BMC Med Inform Decis Mak. 2013;13:6. .
- Supporting patients to make the best decisions. BMJ. 2011;342:775–777. , ,
- Patient‐centered decision making and health care outcomes: an observational study. Ann Intern Med. 2013;158(8):573–579. .
- Informed consent for blood transfusion: what do medicine residents tell? What do patients understand? Am J Clin Pathol. 2012;138(4):559–565. , , , et al.
- Agency for Healthcare Research and Quality. Healthcare Cost Utilization Project Statistical Brief #149. Most frequent procedures performed in U.S. hospitals 2010. http://www.hcup‐us.ahrq.gov/reports/statbriefs/sb149.pdf. Accessed July 18, 2013.
- Department of Health and Human Services. The 2011 national blood collection and utilization survey report. Washington, DC: DHHS, 2013.
- Agency for Healthcare Research and Quality. HCUP facts and figures: statistics on hospital‐based care in the United States, 2007. Available at: http://www.hcup‐us.ahrq.gov/reports/factsandfigures/2007/pdfs/FF_report_2007.pdf. Accessed June 16, 2013.
- Prevalence and impact of anemia in hospitalized patients. South Med J. 2013;106(3):202–206. , , , , .
- Prevalence of anemia in patients admitted to hospital with a primary diagnosis of congestive heart failure. Int J Cardiol. 2004;96(1):79–87. , , , et al.
- The prevalence of anemia and its association with 90‐day mortality in hospitalized community‐acquired pneumonia. BMC Pulm Med. 2010;10:15. , , , et al.
- Transfusion thresholds and other strategies for guiding allogeneic red blood cell transfusion. Cochrane Database Syst Rev. 2012;(4):CD002042. , , .
- A multicenter, randomized, controlled clinical trial of transfusion requirements in critical care. Transfusion Requirements in Critical Care Investigators, Canadian Critical Care Trials Group. N Engl J Med. 1999;340(6):409–417. , , , et al.
- FOCUS Investigators. Liberal or restrictive transfusion in high‐risk patients after hip surgery. N Engl J Med. 2011;365(26):2453–2462. , , , et al.;
- Transfusion strategies for acute upper gastrointestinal bleeding. N Engl J Med. 2013;368:11–21. , , , et al.
- Morbidity and mortality risk associated with red blood cell and blood‐component transfusion in isolated coronary artery bypass grafting. Crit Care Med. 2006;34:1608–1616. , , , et al.
- Activity‐based costs of blood transfusions in surgical patients at four hospitals. Transfusion. 2010;50(4):753–765. , , , , , .
- International Consensus Conference on Transfusion Outcomes Group. Appropriateness of allogeneic red blood cell transfusion: the international consensus conference on transfusion outcomes. Transfus Med Rev. 2011;25(3):232–246. , , , et al.;
- Utilization of blood transfusion among older adults in the United States. Transfusion. 2011;51(4):710–718. , , , .
- Variation of blood transfusion in patients undergoing major noncardiac surgery. Ann Surg. 2013;257(2):266–278. , , , et al.
- The Joint Commission continues to study overuse issues. Jt Comm Perspect. 2012;32(5):4, 8.
- ABIM Foundation. Choosing Wisely. Available at: http://www.choosingwisely.org/. Accessed July 18, 2013.
- Society for the Advancement of Blood Management. Administrative and clinical standards for patient blood management programs. Englewood, New Jersey; 2012. Available at: http://www.sabm.org/publications. Accessed June 16, 2013.
- Patient blood management: a patient‐oriented approach to blood replacement with the goal of reducing anemia, blood loss and the need for blood transfusion in elective surgery. Transfus Med Hemother. 2012;39:67–72. .
- From bloodless surgery to patient blood management. Mt Sinai J Med. 2012;79(1):56–65. , , , et al.
- Red blood cell transfusion: a clinical practice guideline from the AABB. Ann Intern Med. 2012;157(1):49–58. , , , et al.
- The Joint Commission implementation guide for the joint commission patient blood management performance measures 2011. Available at: http://www.jointcommission.org/assets/1/6/PBM_Implementation_Guide_20110624.pdf. Accessed June, 16, 2013.
- U.S. Department of Health and Human Services. Advisory Committee on Blood Safety and Availability. Recommendations, November 2010. Available at: http://www.hhs.gov/ash/bloodsafety/advisorycommittee/recommendations/recommendations201011.pdf. Accessed June 16, 2013.
- Drivers for change: Western Australia Patient Blood Management Program (WA PBMP), World Health Assembly (WHA) and Advisory Committee on Blood Safety and Availability (ACBSA). Best Pract Res Clin Anaesthesiol. 2013;27(1):43–58. , , , .
- Effect of a patient blood management programme on preoperative anaemia, transfusion rate, and outcome after primary hip or knee arthroplasty: a quality improvement cycle. Br J Anaesth. 2012;108(6):943–952. , , .
- How good patient blood management leads to excellent outcomes in Jehovah's witness patients undergoing cardiac surgery. Interact Cardiovasc Thorac Surg. 2011;12(2):183–188. , , , et al.
- Anemia and patient blood management in hip and knee surgery. Anesthesiology. 2010;113:482–495. .
- Hematology Am Soc Hematol Educ Program 2005;528–532. , , , .
- Detection, evaluation, and management of preoperative anaemia in the elective orthopaedic surgical patient: NATA guidelines. Br J Anaesth. 2011;106(1):13–22. , , .
- Blood use in elective surgery: the Austrian benchmark study. Transfusion. 2007;47(8):1468–1480. , , , .
- Detection, evaluation, and management of anemia in the elective surgery patient. Anest Analg. 2005;101:1858–1861. , , , et al.
- Blood management: a primer for clinicians. Pharmacotherapy. 2007;27(10):1394–1411. , .
- Human cardiovascular and metabolic response to acute, severe isovolemic anemia. JAMA. 1998;279(3):217–221. , , , et al.
- Guidelines on the assessment of bleeding risk prior to surgery or invasive procedures. Br J Haematol. 2008;140:496–504. , , , et al.
- Routine preoperative coagulation tests: an outdated practice? Br J Anaesth. 2011;106(1):1–3. , , .
- Point‐of‐care coagulation management in intensive care medicine. Crit Care. 2013;17:218. , , .
- Pharmacologic interventions for reversing the effects of oral anticoagulants. Am J Health Syst Pharm. 2013;70(10 supp 1):S12–S21. .
- The combination of platelet‐enriched autologous plasma with bovine collagen and thrombin decreases the need for multiple blood transfusions in trauma patients with retroperitoneal bleeding. J Trauma. 2004;56(1):76–79. , , , .
- Indications and contraindications of cell salvage. Transfusion. 2004;44(12 suppl):40S–44S. .
- Application of energy‐based technologies and topical hemostatic agents in the management of surgical hemostasis. Vascular. 2010;18(4):197–204. , , , et al.
- Effect of anemia and cardiovascular disease on surgical mortality and morbidity. Lancet. 1996;348:1055–1060. , , , et al.
- Hospital‐acquired anemia. J Med Assoc Thai. 2006;89(1):63–67. , .
- Anemia, transfusion, and phlebotomy practices in critically ill patients with prolonged ICU length of stay: a cohort study. Crit Care. 2006;10(5):R140. , , .
- Blood conservation in the critically ill patient. Anesthesiol Clin North Am. 2005;23(2):363–372. .
- Patient‐centered medicine and patient‐oriented research: improving health outcomes for individual patients. BMC Med Inform Decis Mak. 2013;13:6. .
- Supporting patients to make the best decisions. BMJ. 2011;342:775–777. , ,
- Patient‐centered decision making and health care outcomes: an observational study. Ann Intern Med. 2013;158(8):573–579. .
- Informed consent for blood transfusion: what do medicine residents tell? What do patients understand? Am J Clin Pathol. 2012;138(4):559–565. , , , et al.
New and Noteworthy Information—December 2013
Mild traumatic brain injury (TBI) may be associated with increased cortical fractional anisotropy, but not with cortical or subcortical atrophy, according to research published online ahead of print November 20 in Neurology. Investigators evaluated 50 patients and 50 sex-, age-, and education-matched controls with a clinical and neuroimaging battery approximately 14 days after TBI. A total of 26 patients returned for follow-up four months after injury. Patients had increased fractional anisotropy in the bilateral superior frontal cortex during the semiacute phase of injury. Fractional anisotropy in the left superior frontal cortex remained elevated at four months after injury. The researchers found no significant differences between patients and matched controls on neuropsychologic testing or measures of gray matter atrophy or mean diffusivity at either time point.
Researchers detailed the early clinical course, morbidity, and mortality of the 2012 outbreak of fungal infections associated with methylprednisolone injections in two articles published October 24, 2013, in the New England Journal of Medicine. As of July 1, 2013, a total of 749 cases of infection had been reported in 20 states, including 61 deaths. Of 728 patients for whom data were available, 31% had meningitis and no other documented infection. Of 328 patients without peripheral joint infection who were included in one investigation, 81% had CNS infection, and 19% had non-CNS infections only. The investigators found evidence of Exserohilum rostratum in 36% of patients for whom samples were available. Patients’ median age was 64, and the median incubation period was 47 days. Forty patients had a stroke.
An algorithm may accurately predict time to death, institutionalization, and need for full-time care in patients with Alzheimer’s disease, according to an article published online ahead of print September 24 in the Journal of Alzheimer’s Disease. Investigators followed two study cohorts with mild Alzheimer’s disease for 10 years. The first cohort included 252 patients, and the second included 254 patients. Participants underwent semiannual assessments that included cognition, functional capacity, and medical, psychiatric, and neurologic information. For each of the three outcome measures, the predicted survival curves were well within the 95% confidence intervals of the observed survival curves. The actual and predicted survival curves were statistically equivalent. The algorithm can be adapted to predict other important disease end points, according to the researchers.
High pulse pressure may be associated with increased CSF phosphorylated tau and decreased β-amyloid 1–42 (Aβ1–42) in cognitively normal older adults, according to research published online ahead of print November 13 in Neurology. A total of 177 cognitively normal, stroke-free older adults underwent blood pressure assessment for determination of pulse pressure, as well as lumbar puncture for measurement of CSF Aβ1–42 and phosphorylated tau. High pulse pressure was associated with increased phosphorylated tau, reduced Aβ1–42, and increased phosphorylated tau to Aβ1–42 ratio. After controlling for covariates, the investigators found that pulse pressure remained associated with phosphorylated tau and phosphorylated tau to Aβ1–42 ratio, but was no longer associated with Aβ1–42. The relationship between pulse pressure and CSF biomarkers is age-dependent, said the researchers.
Acute stroke care in hospitals with neurology residency programs may be associated with an increased use of thrombolytics, investigators reported online ahead of print November 1 in Neurology. The disparities between the thrombolysis rates in hospitals with neurology residency programs and those in other teaching hospitals and nonteaching hospitals may be greater among elderly patients. Researchers retrospectively studied a nationally representative sample of patients with ischemic stroke. A total of 712,433 individuals from 6,839 hospital samples were included. Of these patients, 10.1%, 29.1%, and 60.8% were treated in hospitals with neurology residency programs, other teaching hospitals, and nonteaching hospitals, respectively. Patients in hospitals with neurology residency programs received thrombolysis more frequently (3.74%) than those in other teaching hospitals (2.28%) and those in nonteaching hospitals (1.44%).
The FDA has approved Aptiom (eslicarbazepine acetate) as an add-on medication to treat partial-onset seizures associated with epilepsy. In three large, phase III safety and efficacy trials that included more than 1,400 patients with inadequately controlled partial-onset seizures, eslicarbazepine acetate was associated with statistically significant reductions in standardized seizure frequency, compared with placebo. Significantly more patients who received eslicarbazepine acetate had a reduction in seizure frequency of 50% or more, compared with controls. The most common side effects include dizziness, somnolence, nausea, headache, diplopia, vomiting, fatigue, vertigo, ataxia, and blurred vision. Eslicarbazepine acetate will not be classified as a controlled substance. Sunovion (Marlborough, Massachusetts) markets the drug and expects it to be available in the US during the second quarter of 2014.
The FDA has approved the NeuroPace RNS System, a device intended to reduce the frequency of seizures in patients with epilepsy who have not responded well to medications. The device consists of a small neurostimulator implanted within the skull. The neurostimulator is connected to one or two electrodes that are placed where the seizures are suspected to originate within the brain or on the surface of the brain. When it detects abnormal electrical activity, the neurostimulator delivers electrical stimulation to normalize brain activity and prevent seizures. In a randomized study of 191 patients, the average number of seizures per month was reduced by approximately 38% at three months in patients in whom the device was turned on. The RNS System is manufactured by NeuroPace (Mountainview, California).
Reducing blood pressure with antihypertensive medications may not decrease the likelihood of death and major disability among patients with acute ischemic stroke, according to a study published online ahead of print November 17 in JAMA. Researchers studied 4,071 patients with nonthrombolyzed ischemic stroke within 48 hours of onset and elevated systolic blood pressure. Patients were randomized to receive antihypertensive treatment or to discontinue all antihypertensive medications during hospitalization. Mean systolic blood pressure was reduced from 166.7 mm Hg to 144.7 mm Hg within 24 hours in the antihypertensive treatment group and from 165.6 mm Hg to 152.9 mm Hg in the control group within 24 hours after randomization. The researchers found no difference in the rates of death and major disability between the treatment groups.
Persons with high urinary concentrations of tungsten may have an increased risk of stroke, according to a study published November 11 in PLOS One. Investigators analyzed associations between tungsten, commonly used in mobile phones and computers, and cardiovascular disease or stroke using crude and adjusted logistic regression models in a cohort of 8,614 adults (ages 18 to 74) with 193 reported stroke diagnoses and 428 reported diagnoses of cardiovascular disease. The researchers also stratified the data to characterize associations in a subset of individuals between ages 18 and 50. Elevated tungsten concentrations were strongly associated with an increase in the prevalence of stroke, independent of typical risk factors (odds ratio: 1.66). The association between tungsten and stroke in the young age category was still evident (odds ratio: 2.17).
Traumatic brain injury (TBI) may be associated with increased amyloid deposition, according to research published online ahead of print November 11 in JAMA Neurology. Investigators used carbon 11-labeled Pittsburgh Compound B ([11C]PiB) PET to image amyloid deposition in 11 controls and 15 patients between one and 361 days after TBI. Compared with the controls, the patients with TBI had significantly increased [11C]PiB distribution volume ratios in cortical gray matter and the striatum, but not in the thalamus or white matter. The investigators observed increases in [11C]PiB distribution volume ratios in patients with TBI across most cortical subregions. The increases were replicated using comparisons of standardized uptake value ratios and could not be accounted for by methodologic confounders.
Compared with persons who speak only one language, bilingual individuals may have a delayed onset of dementia, according to a study published online ahead of print November 6 in Neurology. Investigators reviewed case records of 648 patients with dementia (391 bilinguals) diagnosed in a specialist clinic. They compared age at onset of first symptoms between monolingual and bilingual groups and examined the influence of the number of languages spoken, education, occupation, and other potentially interacting variables. Bilingual patients developed dementia 4.5 years later than the monolingual patients. The researchers found a significant difference in age at onset of Alzheimer’s disease dementia, frontotemporal dementia, and vascular dementia. The age difference was also observed in illiterate patients. The investigators found no additional benefit to speaking more than two languages.
Temporal lobe epilepsy (TLE) may entail altered structural connectivity in the brain, according to a study published online ahead of print November 8 in Radiology. Investigators analyzed 60-direction diffusion-tensor imaging and magnetization-prepared rapid acquisition gradient-echo (MP-RAGE) MRI volumes for 24 patients with left TLE and 24 healthy control subjects. MP-RAGE volumes were segmented into 1,015 regions of interest that spanned the entire brain. Patients with TLE had 22% to 45% reduced distant connectivity in the medial orbitofrontal cortex, temporal cortex, posterior cingulate cortex, and precuneus, compared with healthy subjects. Local connectivity, as measured by means of network efficiency, was increased by 85% to 270% in the medial and lateral frontal cortices, insular cortex, posterior cingulate cortex, precuneus, and occipital cortex in patients with TLE, compared with healthy subjects.
Gray matter damage may be a key factor associated with long-term accumulation of disability and cognitive impairment in multiple sclerosis (MS), according to research published November 12 in Neurology. Investigators obtained conventional and magnetization transfer (MT) MRI brain scans at baseline and at 12 months for 73 patients with MS, who were followed prospectively with clinical visits and rating of the Expanded Disability Status Scale (EDSS) score and the MS severity score for a median of 13.3 years. At 13-year follow-up, 66% of patients had significant worsening of disability, and 37% had worse cognition. The multivariable model identified baseline gray matter fraction as the only predictor of disability worsening. Baseline disease duration and average gray matter lesion MT ratio were independent variables associated with cognitive deterioration.
—Erik Greb
Senior Associate Editor
Mild traumatic brain injury (TBI) may be associated with increased cortical fractional anisotropy, but not with cortical or subcortical atrophy, according to research published online ahead of print November 20 in Neurology. Investigators evaluated 50 patients and 50 sex-, age-, and education-matched controls with a clinical and neuroimaging battery approximately 14 days after TBI. A total of 26 patients returned for follow-up four months after injury. Patients had increased fractional anisotropy in the bilateral superior frontal cortex during the semiacute phase of injury. Fractional anisotropy in the left superior frontal cortex remained elevated at four months after injury. The researchers found no significant differences between patients and matched controls on neuropsychologic testing or measures of gray matter atrophy or mean diffusivity at either time point.
Researchers detailed the early clinical course, morbidity, and mortality of the 2012 outbreak of fungal infections associated with methylprednisolone injections in two articles published October 24, 2013, in the New England Journal of Medicine. As of July 1, 2013, a total of 749 cases of infection had been reported in 20 states, including 61 deaths. Of 728 patients for whom data were available, 31% had meningitis and no other documented infection. Of 328 patients without peripheral joint infection who were included in one investigation, 81% had CNS infection, and 19% had non-CNS infections only. The investigators found evidence of Exserohilum rostratum in 36% of patients for whom samples were available. Patients’ median age was 64, and the median incubation period was 47 days. Forty patients had a stroke.
An algorithm may accurately predict time to death, institutionalization, and need for full-time care in patients with Alzheimer’s disease, according to an article published online ahead of print September 24 in the Journal of Alzheimer’s Disease. Investigators followed two study cohorts with mild Alzheimer’s disease for 10 years. The first cohort included 252 patients, and the second included 254 patients. Participants underwent semiannual assessments that included cognition, functional capacity, and medical, psychiatric, and neurologic information. For each of the three outcome measures, the predicted survival curves were well within the 95% confidence intervals of the observed survival curves. The actual and predicted survival curves were statistically equivalent. The algorithm can be adapted to predict other important disease end points, according to the researchers.
High pulse pressure may be associated with increased CSF phosphorylated tau and decreased β-amyloid 1–42 (Aβ1–42) in cognitively normal older adults, according to research published online ahead of print November 13 in Neurology. A total of 177 cognitively normal, stroke-free older adults underwent blood pressure assessment for determination of pulse pressure, as well as lumbar puncture for measurement of CSF Aβ1–42 and phosphorylated tau. High pulse pressure was associated with increased phosphorylated tau, reduced Aβ1–42, and increased phosphorylated tau to Aβ1–42 ratio. After controlling for covariates, the investigators found that pulse pressure remained associated with phosphorylated tau and phosphorylated tau to Aβ1–42 ratio, but was no longer associated with Aβ1–42. The relationship between pulse pressure and CSF biomarkers is age-dependent, said the researchers.
Acute stroke care in hospitals with neurology residency programs may be associated with an increased use of thrombolytics, investigators reported online ahead of print November 1 in Neurology. The disparities between the thrombolysis rates in hospitals with neurology residency programs and those in other teaching hospitals and nonteaching hospitals may be greater among elderly patients. Researchers retrospectively studied a nationally representative sample of patients with ischemic stroke. A total of 712,433 individuals from 6,839 hospital samples were included. Of these patients, 10.1%, 29.1%, and 60.8% were treated in hospitals with neurology residency programs, other teaching hospitals, and nonteaching hospitals, respectively. Patients in hospitals with neurology residency programs received thrombolysis more frequently (3.74%) than those in other teaching hospitals (2.28%) and those in nonteaching hospitals (1.44%).
The FDA has approved Aptiom (eslicarbazepine acetate) as an add-on medication to treat partial-onset seizures associated with epilepsy. In three large, phase III safety and efficacy trials that included more than 1,400 patients with inadequately controlled partial-onset seizures, eslicarbazepine acetate was associated with statistically significant reductions in standardized seizure frequency, compared with placebo. Significantly more patients who received eslicarbazepine acetate had a reduction in seizure frequency of 50% or more, compared with controls. The most common side effects include dizziness, somnolence, nausea, headache, diplopia, vomiting, fatigue, vertigo, ataxia, and blurred vision. Eslicarbazepine acetate will not be classified as a controlled substance. Sunovion (Marlborough, Massachusetts) markets the drug and expects it to be available in the US during the second quarter of 2014.
The FDA has approved the NeuroPace RNS System, a device intended to reduce the frequency of seizures in patients with epilepsy who have not responded well to medications. The device consists of a small neurostimulator implanted within the skull. The neurostimulator is connected to one or two electrodes that are placed where the seizures are suspected to originate within the brain or on the surface of the brain. When it detects abnormal electrical activity, the neurostimulator delivers electrical stimulation to normalize brain activity and prevent seizures. In a randomized study of 191 patients, the average number of seizures per month was reduced by approximately 38% at three months in patients in whom the device was turned on. The RNS System is manufactured by NeuroPace (Mountainview, California).
Reducing blood pressure with antihypertensive medications may not decrease the likelihood of death and major disability among patients with acute ischemic stroke, according to a study published online ahead of print November 17 in JAMA. Researchers studied 4,071 patients with nonthrombolyzed ischemic stroke within 48 hours of onset and elevated systolic blood pressure. Patients were randomized to receive antihypertensive treatment or to discontinue all antihypertensive medications during hospitalization. Mean systolic blood pressure was reduced from 166.7 mm Hg to 144.7 mm Hg within 24 hours in the antihypertensive treatment group and from 165.6 mm Hg to 152.9 mm Hg in the control group within 24 hours after randomization. The researchers found no difference in the rates of death and major disability between the treatment groups.
Persons with high urinary concentrations of tungsten may have an increased risk of stroke, according to a study published November 11 in PLOS One. Investigators analyzed associations between tungsten, commonly used in mobile phones and computers, and cardiovascular disease or stroke using crude and adjusted logistic regression models in a cohort of 8,614 adults (ages 18 to 74) with 193 reported stroke diagnoses and 428 reported diagnoses of cardiovascular disease. The researchers also stratified the data to characterize associations in a subset of individuals between ages 18 and 50. Elevated tungsten concentrations were strongly associated with an increase in the prevalence of stroke, independent of typical risk factors (odds ratio: 1.66). The association between tungsten and stroke in the young age category was still evident (odds ratio: 2.17).
Traumatic brain injury (TBI) may be associated with increased amyloid deposition, according to research published online ahead of print November 11 in JAMA Neurology. Investigators used carbon 11-labeled Pittsburgh Compound B ([11C]PiB) PET to image amyloid deposition in 11 controls and 15 patients between one and 361 days after TBI. Compared with the controls, the patients with TBI had significantly increased [11C]PiB distribution volume ratios in cortical gray matter and the striatum, but not in the thalamus or white matter. The investigators observed increases in [11C]PiB distribution volume ratios in patients with TBI across most cortical subregions. The increases were replicated using comparisons of standardized uptake value ratios and could not be accounted for by methodologic confounders.
Compared with persons who speak only one language, bilingual individuals may have a delayed onset of dementia, according to a study published online ahead of print November 6 in Neurology. Investigators reviewed case records of 648 patients with dementia (391 bilinguals) diagnosed in a specialist clinic. They compared age at onset of first symptoms between monolingual and bilingual groups and examined the influence of the number of languages spoken, education, occupation, and other potentially interacting variables. Bilingual patients developed dementia 4.5 years later than the monolingual patients. The researchers found a significant difference in age at onset of Alzheimer’s disease dementia, frontotemporal dementia, and vascular dementia. The age difference was also observed in illiterate patients. The investigators found no additional benefit to speaking more than two languages.
Temporal lobe epilepsy (TLE) may entail altered structural connectivity in the brain, according to a study published online ahead of print November 8 in Radiology. Investigators analyzed 60-direction diffusion-tensor imaging and magnetization-prepared rapid acquisition gradient-echo (MP-RAGE) MRI volumes for 24 patients with left TLE and 24 healthy control subjects. MP-RAGE volumes were segmented into 1,015 regions of interest that spanned the entire brain. Patients with TLE had 22% to 45% reduced distant connectivity in the medial orbitofrontal cortex, temporal cortex, posterior cingulate cortex, and precuneus, compared with healthy subjects. Local connectivity, as measured by means of network efficiency, was increased by 85% to 270% in the medial and lateral frontal cortices, insular cortex, posterior cingulate cortex, precuneus, and occipital cortex in patients with TLE, compared with healthy subjects.
Gray matter damage may be a key factor associated with long-term accumulation of disability and cognitive impairment in multiple sclerosis (MS), according to research published November 12 in Neurology. Investigators obtained conventional and magnetization transfer (MT) MRI brain scans at baseline and at 12 months for 73 patients with MS, who were followed prospectively with clinical visits and rating of the Expanded Disability Status Scale (EDSS) score and the MS severity score for a median of 13.3 years. At 13-year follow-up, 66% of patients had significant worsening of disability, and 37% had worse cognition. The multivariable model identified baseline gray matter fraction as the only predictor of disability worsening. Baseline disease duration and average gray matter lesion MT ratio were independent variables associated with cognitive deterioration.
—Erik Greb
Senior Associate Editor
Mild traumatic brain injury (TBI) may be associated with increased cortical fractional anisotropy, but not with cortical or subcortical atrophy, according to research published online ahead of print November 20 in Neurology. Investigators evaluated 50 patients and 50 sex-, age-, and education-matched controls with a clinical and neuroimaging battery approximately 14 days after TBI. A total of 26 patients returned for follow-up four months after injury. Patients had increased fractional anisotropy in the bilateral superior frontal cortex during the semiacute phase of injury. Fractional anisotropy in the left superior frontal cortex remained elevated at four months after injury. The researchers found no significant differences between patients and matched controls on neuropsychologic testing or measures of gray matter atrophy or mean diffusivity at either time point.
Researchers detailed the early clinical course, morbidity, and mortality of the 2012 outbreak of fungal infections associated with methylprednisolone injections in two articles published October 24, 2013, in the New England Journal of Medicine. As of July 1, 2013, a total of 749 cases of infection had been reported in 20 states, including 61 deaths. Of 728 patients for whom data were available, 31% had meningitis and no other documented infection. Of 328 patients without peripheral joint infection who were included in one investigation, 81% had CNS infection, and 19% had non-CNS infections only. The investigators found evidence of Exserohilum rostratum in 36% of patients for whom samples were available. Patients’ median age was 64, and the median incubation period was 47 days. Forty patients had a stroke.
An algorithm may accurately predict time to death, institutionalization, and need for full-time care in patients with Alzheimer’s disease, according to an article published online ahead of print September 24 in the Journal of Alzheimer’s Disease. Investigators followed two study cohorts with mild Alzheimer’s disease for 10 years. The first cohort included 252 patients, and the second included 254 patients. Participants underwent semiannual assessments that included cognition, functional capacity, and medical, psychiatric, and neurologic information. For each of the three outcome measures, the predicted survival curves were well within the 95% confidence intervals of the observed survival curves. The actual and predicted survival curves were statistically equivalent. The algorithm can be adapted to predict other important disease end points, according to the researchers.
High pulse pressure may be associated with increased CSF phosphorylated tau and decreased β-amyloid 1–42 (Aβ1–42) in cognitively normal older adults, according to research published online ahead of print November 13 in Neurology. A total of 177 cognitively normal, stroke-free older adults underwent blood pressure assessment for determination of pulse pressure, as well as lumbar puncture for measurement of CSF Aβ1–42 and phosphorylated tau. High pulse pressure was associated with increased phosphorylated tau, reduced Aβ1–42, and increased phosphorylated tau to Aβ1–42 ratio. After controlling for covariates, the investigators found that pulse pressure remained associated with phosphorylated tau and phosphorylated tau to Aβ1–42 ratio, but was no longer associated with Aβ1–42. The relationship between pulse pressure and CSF biomarkers is age-dependent, said the researchers.
Acute stroke care in hospitals with neurology residency programs may be associated with an increased use of thrombolytics, investigators reported online ahead of print November 1 in Neurology. The disparities between the thrombolysis rates in hospitals with neurology residency programs and those in other teaching hospitals and nonteaching hospitals may be greater among elderly patients. Researchers retrospectively studied a nationally representative sample of patients with ischemic stroke. A total of 712,433 individuals from 6,839 hospital samples were included. Of these patients, 10.1%, 29.1%, and 60.8% were treated in hospitals with neurology residency programs, other teaching hospitals, and nonteaching hospitals, respectively. Patients in hospitals with neurology residency programs received thrombolysis more frequently (3.74%) than those in other teaching hospitals (2.28%) and those in nonteaching hospitals (1.44%).
The FDA has approved Aptiom (eslicarbazepine acetate) as an add-on medication to treat partial-onset seizures associated with epilepsy. In three large, phase III safety and efficacy trials that included more than 1,400 patients with inadequately controlled partial-onset seizures, eslicarbazepine acetate was associated with statistically significant reductions in standardized seizure frequency, compared with placebo. Significantly more patients who received eslicarbazepine acetate had a reduction in seizure frequency of 50% or more, compared with controls. The most common side effects include dizziness, somnolence, nausea, headache, diplopia, vomiting, fatigue, vertigo, ataxia, and blurred vision. Eslicarbazepine acetate will not be classified as a controlled substance. Sunovion (Marlborough, Massachusetts) markets the drug and expects it to be available in the US during the second quarter of 2014.
The FDA has approved the NeuroPace RNS System, a device intended to reduce the frequency of seizures in patients with epilepsy who have not responded well to medications. The device consists of a small neurostimulator implanted within the skull. The neurostimulator is connected to one or two electrodes that are placed where the seizures are suspected to originate within the brain or on the surface of the brain. When it detects abnormal electrical activity, the neurostimulator delivers electrical stimulation to normalize brain activity and prevent seizures. In a randomized study of 191 patients, the average number of seizures per month was reduced by approximately 38% at three months in patients in whom the device was turned on. The RNS System is manufactured by NeuroPace (Mountainview, California).
Reducing blood pressure with antihypertensive medications may not decrease the likelihood of death and major disability among patients with acute ischemic stroke, according to a study published online ahead of print November 17 in JAMA. Researchers studied 4,071 patients with nonthrombolyzed ischemic stroke within 48 hours of onset and elevated systolic blood pressure. Patients were randomized to receive antihypertensive treatment or to discontinue all antihypertensive medications during hospitalization. Mean systolic blood pressure was reduced from 166.7 mm Hg to 144.7 mm Hg within 24 hours in the antihypertensive treatment group and from 165.6 mm Hg to 152.9 mm Hg in the control group within 24 hours after randomization. The researchers found no difference in the rates of death and major disability between the treatment groups.
Persons with high urinary concentrations of tungsten may have an increased risk of stroke, according to a study published November 11 in PLOS One. Investigators analyzed associations between tungsten, commonly used in mobile phones and computers, and cardiovascular disease or stroke using crude and adjusted logistic regression models in a cohort of 8,614 adults (ages 18 to 74) with 193 reported stroke diagnoses and 428 reported diagnoses of cardiovascular disease. The researchers also stratified the data to characterize associations in a subset of individuals between ages 18 and 50. Elevated tungsten concentrations were strongly associated with an increase in the prevalence of stroke, independent of typical risk factors (odds ratio: 1.66). The association between tungsten and stroke in the young age category was still evident (odds ratio: 2.17).
Traumatic brain injury (TBI) may be associated with increased amyloid deposition, according to research published online ahead of print November 11 in JAMA Neurology. Investigators used carbon 11-labeled Pittsburgh Compound B ([11C]PiB) PET to image amyloid deposition in 11 controls and 15 patients between one and 361 days after TBI. Compared with the controls, the patients with TBI had significantly increased [11C]PiB distribution volume ratios in cortical gray matter and the striatum, but not in the thalamus or white matter. The investigators observed increases in [11C]PiB distribution volume ratios in patients with TBI across most cortical subregions. The increases were replicated using comparisons of standardized uptake value ratios and could not be accounted for by methodologic confounders.
Compared with persons who speak only one language, bilingual individuals may have a delayed onset of dementia, according to a study published online ahead of print November 6 in Neurology. Investigators reviewed case records of 648 patients with dementia (391 bilinguals) diagnosed in a specialist clinic. They compared age at onset of first symptoms between monolingual and bilingual groups and examined the influence of the number of languages spoken, education, occupation, and other potentially interacting variables. Bilingual patients developed dementia 4.5 years later than the monolingual patients. The researchers found a significant difference in age at onset of Alzheimer’s disease dementia, frontotemporal dementia, and vascular dementia. The age difference was also observed in illiterate patients. The investigators found no additional benefit to speaking more than two languages.
Temporal lobe epilepsy (TLE) may entail altered structural connectivity in the brain, according to a study published online ahead of print November 8 in Radiology. Investigators analyzed 60-direction diffusion-tensor imaging and magnetization-prepared rapid acquisition gradient-echo (MP-RAGE) MRI volumes for 24 patients with left TLE and 24 healthy control subjects. MP-RAGE volumes were segmented into 1,015 regions of interest that spanned the entire brain. Patients with TLE had 22% to 45% reduced distant connectivity in the medial orbitofrontal cortex, temporal cortex, posterior cingulate cortex, and precuneus, compared with healthy subjects. Local connectivity, as measured by means of network efficiency, was increased by 85% to 270% in the medial and lateral frontal cortices, insular cortex, posterior cingulate cortex, precuneus, and occipital cortex in patients with TLE, compared with healthy subjects.
Gray matter damage may be a key factor associated with long-term accumulation of disability and cognitive impairment in multiple sclerosis (MS), according to research published November 12 in Neurology. Investigators obtained conventional and magnetization transfer (MT) MRI brain scans at baseline and at 12 months for 73 patients with MS, who were followed prospectively with clinical visits and rating of the Expanded Disability Status Scale (EDSS) score and the MS severity score for a median of 13.3 years. At 13-year follow-up, 66% of patients had significant worsening of disability, and 37% had worse cognition. The multivariable model identified baseline gray matter fraction as the only predictor of disability worsening. Baseline disease duration and average gray matter lesion MT ratio were independent variables associated with cognitive deterioration.
—Erik Greb
Senior Associate Editor
Man, 55, With Mild Chest Discomfort
A 55-year-old white man with controlled hypertension and hypercholesterolemia awoke with mild chest discomfort that he believed was mild gastroesophageal reflux. He denied radiation of pain to the shoulders, arms, back, or neck; dyspnea; palpitations; diaphoresis; nausea/vomiting; cough; or fever, during the first 30 hours of discomfort. There was no change in discomfort with deep breath, palpation of the chest, or administration of antacids. Minimal, short-lived improvement was noted with belching.
The patient had no trouble sleeping in the prone position and did not notice an increase in discomfort or unusual difficulty during his daily vigorous 30-minute aerobic workout. In fact, his symptoms seemed to improve or disappear during exercise. The patient denied any recent illness or exposure to sick people, had not traveled outside the United States, and had not been exposed to radiation of the chest wall. At the end of the second day of discomfort, the patient noted irregular palpitations with mild shortness of breath and was transported to the hospital for evaluation. He denied being a cigarette smoker or illicit drug user.
The patient had no history of MI or diabetes. The patient’s father had an MI in his 80s, and two uncles died suddenly in their 50s of “massive heart attacks.” His mother, who had died of sepsis of uncertain etiology approximately 10 days earlier, also had hypertension and hypercholesterolemia but no history of coronary artery disease (CAD). Both of the patient’s adult daughters had been diagnosed with celiac disease in the preceding three years. His elder daughter had also been diagnosed with type 1 diabetes within the past two years.
On examination, the patient was afebrile, with a blood pressure of 143/87 mm Hg; pulse, 53 beats/min; and respiratory rate, 17 breaths/min. The patient’s weight was 204 lb and his height, 75 in (BMI, 25.5). The patient was in no apparent distress. Head, eyes, ears, nose, and throat were unremarkable. There was no significant jugular venous distention. The carotid pulses were full, and no bruits were appreciated. S1 and S2 sounds were within normal limits. No murmurs or S3 or S4 gallops were appreciated. The chest was clear on auscultation. Results of the abdominal exam were negative, no edema was noted in the extremities, and pulses were symmetrical.
ECG demonstrated subtle ST-segment elevation in leads I and aVL with a prominent R wave in lead V1. This pattern was interpreted as consistent with an acute inferolateral MI. A baseline ECG, previously obtained by the patient’s internist, had been interpreted as normal.
Peak troponin level was 55 ng/mL (normal, < 0.03 ng/mL); total creatine kinase (CK), 807 U/L (reference range, 20 to 259 U/L); and mass CK-MB fraction, 44 ng/mL (0.1 to 6.6 ng/mL). Total cholesterol was 105 mg/dL, with both LDL- and HDL-cholesterol fractions at 46 mg/dL. A complete blood count without differential revealed a total white blood cell count of 53,000/µL. Hemoglobin and hematocrit were both low (12.3 g/dL and 34.5%, respectively). All indices were within normal limits, as was the platelet count. Glucose, blood urea nitrogen, creatinine, potassium chloride bicarbonate, and calcium were all within normal limits. The sodium level was slightly low (132 mEq/L). Emergency catheterization revealed an ejection fraction of 45% (reference range, 55% to 70%), with mild-to-moderate diffuse hypokinesis but normal coronary arteries.
The patient was diagnosed with myocarditis, likely of viral origin.
DISCUSSION
Although the incidence of myocarditis in the US is difficult to assess, autopsy reports implicate it in 8.6% to 12% of cases of sudden cardiac death in young adults,1,2 and a large prospective series implicated myocarditis in 9% of cases of dilated cardiomyopathy.3 Myocarditis is considered to be at one extreme of a spectrum of perimyocardial processes that result in inflammation of the myocardium (see figure), pericardium, or both.4
The underlying pathology involves an acute injury to the myocyte. This activates the innate and humoral immune systems, resulting in severe inflammation. The immune reaction eventually subsides, and the myocardium recovers. In certain patients, however, myocardial inflammation persists, resulting in ongoing myocyte damage, relentless symptomatic heart failure, or even death.5
Although a variety of diagnostic criteria have been developed and employed, the diagnosis of myocarditis is often one of exclusion. First proposed in 1986, the Dallas criteria—a histopathologic classification for myocarditis diagnosis—are based on endomyocardial biopsy, with inflammatory cellular infiltrate (with or without associated myocyte necrosis) visible on conventionally stained myocardial tissue sections.5 However, this method poses significant practical limitations, including low sensitivity (43% to 64%) and complication and death rates of 6% and 0.4%, respectively.5,6
An empiric diagnosis of myocarditis is often based on a combination of clinical findings including altered ECG, increase in myocardial enzymes, and lack of significant CAD.6 The recommended diagnostic cardiac magnetic resonance (CMR) imaging criteria for clinically suspected myocardial inflammation (ie, the Lake Louise Criteria) include at least two of the following:7
• Regional or global myocardial signal intensity increase in T2-weighted images.
• Increased global myocardial early gadolinium enhancement ratio between myocardium and skeletal muscle in gadolinium-enhanced T1-weighted images.
• At least one focal lesion with nonischemic regional distribution in inversion recovery–prepared gadolinium-enhanced T1-weighted images (“late gadolinium enhancement”).
Because of its reported high sensitivity and specificity (100% and 90%, respectively), CMR was used in the case patient to confirm the diagnosis of myocarditis.8 Specifically, CMR with contrast demonstrated normal left ventricular cavity size and mild reduction in overall left ventricular systolic function, with a visually estimated left ventricular ejection fraction of 45% to 50%. Regional hypokinesis of the mid-inferior wall and apical inferior septum was noted. Delayed contrast imaging demonstrated extensive non-CAD scarring and fibrosis, involving the basal anterior wall, basal inferior wall, and basal and midlateral wall in a pattern consistent with acute myocarditis.
Just as there is variability in the specific criteria by which the diagnosis of myocarditis can be made, the array of clinical findings with which it can manifest range from fatigue and other nonspecific symptoms to fulminant congestive heart failure and sudden death.6 Often, but not always, a viral prodrome precedes the onset of “cardiac symptoms” (eg, chest pain, dyspnea, palpitations, or syncope).5 This patient’s multiple risk factors for CAD and a suggestive, albeit atypical, history of chest discomfort, palpitations, and shortness of breath helped to focus the clinicians’ evaluation on the heart.
Potential Causes
Once a diagnosis of myocarditis is rendered, the next challenge is distinguishing its specific source from a plethora of potential etiologies, including infection, toxic exposure, or hypersensitivity/autoimmune reaction. Viral infections (mostly herpes, parvovirus, and cytomegalovirus) are thought to cause most cases of myocarditis in developed countries.5,9
Viral myocarditis results when viruses enter cardiac myocytes and incite a cytotoxic effect with activation of the immune response, including expression of interferon , natural killer cells, and release of nitric oxide. The majority of patients recover, but some develop an adaptive immune response, which further causes cardiac damage. In this response, antibodies to viral and to some cardiac proteins are produced, and effector T lymphocytes proliferate. Viral genome or inflammatory mechanisms may persist, contributing to ventricular dysfunction leading to heart failure and arrhythmias.10
Celiac disease is a chronic gastroenterologic disease caused by an immune response to a gluten protein. Damage to the brush border of the small intestine results in an inability to absorb fat, protein, vitamins, and minerals. Intermittent diarrhea, abdominal pain, and bloating are most commonly reported, but celiac disease may also manifest less obviously with iron deficiency anemia, joint pain, muscle cramps, osteoporosis, and neuropathy.11 Iron deficiency anemia that is refractory to iron replacement may offer insight into diagnosing myocarditis due to celiac disease.12 Although studies have found that more than 4% of patients with myocarditis also had celiac disease, none had the classic GI symptoms of celiac disease.12
Takotsubo cardiomyopathy is a transient left ventricular apical ballooning syndrome of unknown etiology. (For more information, see Fasolino T. Takotsubo cardiomyopathy: a clinical overview). Patients who have experienced emotional or physiologic stress and postmenopausal women appear to be at greatest risk. The clinical symptoms mimic MI, including chest pain with ST-segment elevation in the precordial leads on ECG13 and minor elevation of the cardiac enzyme and biomarker levels.14 However, patients experiencing this stress cardiomyopathy lack evidence of atherosclerotic CAD.15 An echocardiogram or CMR imaging reveals characteristic wall motion hypokinesis, akinesis, or dyskinesis of the left ventricular apex and mid-ventricle that help to differentiate it from other forms of myocarditis.15,16 Patient prognosis is favorable, with 95% of patients experiencing a full recovery; left ventricular dysfunction usually begins to improve in a few weeks.13,14
Sarcoidosis is a systemic disease resulting in noncaseating granulomas in multiple organs.17 Initial presentation typically includes bilateral hilar adenopathy, pulmonary reticular opacities, and/or skin, joint, or eye lesions.18 Patients with cardiac sarcoidosis most commonly present with conduction disturbances and ventricular arrhythmias.17 Although frequently absent, clinical symptoms may include palpitations, syncope, dizziness, or chest pain and clinical heart failure.17,18 It is difficult to distinguish cardiac sarcoidosis from other forms of myocarditis unless signs of systemic sarcoidosis are evident. A patient with suspected cardiac sarcoidosis should have an ECG to detect subclinical conduction abnormalities.17 The patient should wear a Holter monitor for 24 hours to screen for cardiac involvement, and echocardiography should be performed to define cardiac abnormalities.19
Giant-cell myocarditis (GCM) is a rare, rapidly progressive, and frequently fatal myocardial disease. Based on endomyocardial or surgical biopsy, GCM is histologically defined by multinucleated giant cells, a lymphocytic inflammatory infiltrate, and myocyte necrosis. It is often found in association with various immune-related systemic disorders.20 Patients present with heart failure, ventricular arrhythmias, and atrioventricular block that fails to improve with standard therapy.21
Treatment and Management
The typical management of acute myocarditis includes supportive care for left ventricular dysfunction and arrhythmia control.22 Many of the standard heart failure therapies—β-blockers, ACE inhibitors, angiotensin receptor blockers, and aldosterone antagonists—are efficacious; several, at least in animal models, appear to exert anti-inflammatory as well as the standard cardiovascular effects.23
Caution is advised regarding the selection of specific therapies. For example, in one study, metoprolol produced deleterious effects in acute murine Coxsackie virus myocarditis; inflammation, necrosis, and mortality significantly increased in the treatment group, compared with the placebo group.23
Information on the effects of particular therapies for specific etiologies of myocarditis are limited, but some evidence supports immunosuppressive and immune-modulating therapies for chronic, virus-negative inflammatory cardiomyopathy. Immunosuppressive therapy is also beneficial for acute GCM and sarcoidosis.23 For patients with myocarditis associated with celiac disease, a gluten-free diet alone or in combination with immunosuppressive agents can significantly improve clinical outcomes.12
OUTCOME FOR THE CASE PATIENT
Because the patient was already taking a statin and an ACE inhibitor for hypercholesterolemia and hypertension, respectively, as well as one baby aspirin per day, only a β-blocker was added to his discharge medication regimen.
Three months after hospital discharge, the patient underwent repeat CMR imaging. The ejection fraction had markedly improved to the 55%-to-60% range, although extensive midmyocardial-to-epicardial scarring in a multifocal pattern, primarily involving the basilar anterior and anterolateral wall, was still present, as was a small focus of an active (albeit healing) process in the inferior wall. Clinically, the patient was doing reasonably well and was vigorously exercising daily without dizziness, syncope, chest discomfort, or shortness of breath.
However, within several weeks of discharge, the patient reported having one two-hour episode of frequent palpitations at rest. Since that episode, palpitations have occurred infrequently. A 48-hour Holter monitor was ordered to better evaluate the palpitations and showed only rare premature ventricular contractions and isolated premature atrial contractions; no complex ectopy was noted. A follow-up stress echocardiogram was scheduled for 12 months, assuming the patient was free of clinical signs and symptoms of heart failure and arrhythmias at that time.
CONCLUSION
Myocarditis can manifest with a broad spectrum of signs and symptoms that may make its identification difficult, especially if a cardiac source is not initially considered in the differential diagnosis. However, for patients who present with elevated biomarkers and normal coronary artery anatomy, the identification of myocarditis is relatively easy; the difficulty in this circumstance relates to the identification of the specific etiology of the myocarditis.
The long-term prognosis for myocarditis is frequently good and the treatment straightforward, using medications that are modeled after standard heart failure therapy. However, depending on the etiology, specific treatment may be advisable—or required—in order to improve outcomes.
References
1. Fabre A, Sheppard MN. Sudden adult death syndrome and other nonischaemic causes of sudden cardiac death: a UK experience. Heart. 2006;92:316-320.
2. Doolan A, Semsarian C, Langlois N. Causes of sudden cardiac death in young Australians. Med J Aust. 2004;180:110-112.
3. Felker GM, Hu W, Hare JM, Hruban RH, et al. The spectrum of dilated cardiomyopathy: the Johns Hopkins experience with 1,278 patients. Medicine (Baltimore). 1999;78:270-283.
4. Leitman M, Tyomkin V, Peleg E, et al. Left ventricular function in acute inflammatory peri-myocardial diseases—new insights and long-term follow-up. Cardiovasc Ultrasound. 2012;10:42.
5. Blauwet LA, Cooper LT. Myocarditis. Prog Cardiovasc Dis. 2010;52:274-288.
6. Testani JM, Kolansky DM, Litt H, Gerstenfeld EP. Focal myocarditis mimicking acute ST-elevation myocardial infarction: diagnosis using cardiac magnetic resonance imaging. Tex Heart Inst J. 2006;33:256-259.
7. Friedrich MG, Sechtem U, Schulz-Menger J, et al. Cardiovascular magnetic resonance in myocarditis: a JACC white paper. J Am Coll Cardiol. 2009;53: 1475-1487.
8. Olimulder MA, van Es J, Galjee MA. The importance of cardiac MRI as a diagnostic tool in viral myocarditis-induced cardiomyopathy. Neth Heart J. 2009;17:481-486.
9. Mavrogeni S, Bratis K, Markussis V, et al. The diagnostic role of cardiac magnetic resonance imaging in detecting myocardial inflammation in systemic lupus erythematosus. Differentiation from viral myocarditis. Lupus. 2013;22:34-43.
10. Schultz JC, Hilliard AA, Cooper LT, Rihal CS. Diagnosis and treatment of viral myocarditis. Mayo Clin Proc. 2009;84:1001-1009.
11. Schuppan D, Dieterich W. Pathogenesis, epidemiology, and clinical manifestations of celiac disease in adults (2013). www.uptodate.com/contents/pathogenesis-epidemiology-and-clinical-manifestations-of-celiac-disease-in-adults. Accessed November 14, 2013.
12. Frustaci A, Cuoco L, Chimenti C, et al. Celiac disease associated with autoimmune myocarditis. Circulation. 2002;105:2611-2618.
13. Thakar S, Chandra P, Hollander G, Lichstein E. Electrocardiographic changes in Takotsubo cardiomyopathy. Pacing Clin Electrophysiol. 2011;34:
1278-1282.
14. Fefer P, Chelvanathan A, Dick A, et al. Takotsubo cardiomyopathy and left ventricular outflow tract obstruction. J Interv Cardiol. 2009;22:444-452.
15. Stensaeth KH, Fossum E, Hoffmann P, et al. Takotsubo cardiomyopathy in acute coronary syndrome; clinical features and contribution of cardiac magnetic resonance during the acute and convalescent phase. Scand Cardiovasc J. 2011;45:77-85.
16. Omerovic E. How to think about stress-induced cardiomyopathy?—Think “out of the box”! Scand Cardiovasc J. 2011;45:67-71.
17. McKenna WJ. Cardiac sarcoidosis (2013). www.uptodate.com/contents/cardiac-sarcoidosis. Accessed November 14, 2013.
18. King TE Jr. Clinical manifestations and diagnosis of sarcoidosis (2013). www.uptodate.com/contents/clinical-manifestations-and-diagnosis-of-sarcoidosis. Accessed November 14, 2013.
19. Bussinguer M, Danielian A, Sharma O. Cardiac sarcoidosis: diagnosis and management. Curr Treat Options Cardiovasc Med. 2012;14:652-664.
20. Cooper LT Jr, Berry GJ, Shabetai R; Multicenter Giant Cell Myocarditis Study Group Investigators. Idiopathic giant-cell myocarditis—natural history and treatment. N Engl J Med. 1997;336(26):1860-1866.
21. Kandolin R, Lehtonen J, Salmenkivi K, et al. Diagnosis, treatment, and outcome of giant-cell myocarditis in the era of combined immunosuppression. Circ Heart Fail. 2013;6:15-22.
22. Htwe TH, Khardori NM. Cardiac emergencies: infective endocarditis, pericarditis, and myocarditis. Med Clin North Am. 2012;96:1149-1169.
23. Kindermann I, Barth C, Mahfoud F, et al. Update on myocarditis. J Am Coll Cardiol. 2012;59:779-792.
A 55-year-old white man with controlled hypertension and hypercholesterolemia awoke with mild chest discomfort that he believed was mild gastroesophageal reflux. He denied radiation of pain to the shoulders, arms, back, or neck; dyspnea; palpitations; diaphoresis; nausea/vomiting; cough; or fever, during the first 30 hours of discomfort. There was no change in discomfort with deep breath, palpation of the chest, or administration of antacids. Minimal, short-lived improvement was noted with belching.
The patient had no trouble sleeping in the prone position and did not notice an increase in discomfort or unusual difficulty during his daily vigorous 30-minute aerobic workout. In fact, his symptoms seemed to improve or disappear during exercise. The patient denied any recent illness or exposure to sick people, had not traveled outside the United States, and had not been exposed to radiation of the chest wall. At the end of the second day of discomfort, the patient noted irregular palpitations with mild shortness of breath and was transported to the hospital for evaluation. He denied being a cigarette smoker or illicit drug user.
The patient had no history of MI or diabetes. The patient’s father had an MI in his 80s, and two uncles died suddenly in their 50s of “massive heart attacks.” His mother, who had died of sepsis of uncertain etiology approximately 10 days earlier, also had hypertension and hypercholesterolemia but no history of coronary artery disease (CAD). Both of the patient’s adult daughters had been diagnosed with celiac disease in the preceding three years. His elder daughter had also been diagnosed with type 1 diabetes within the past two years.
On examination, the patient was afebrile, with a blood pressure of 143/87 mm Hg; pulse, 53 beats/min; and respiratory rate, 17 breaths/min. The patient’s weight was 204 lb and his height, 75 in (BMI, 25.5). The patient was in no apparent distress. Head, eyes, ears, nose, and throat were unremarkable. There was no significant jugular venous distention. The carotid pulses were full, and no bruits were appreciated. S1 and S2 sounds were within normal limits. No murmurs or S3 or S4 gallops were appreciated. The chest was clear on auscultation. Results of the abdominal exam were negative, no edema was noted in the extremities, and pulses were symmetrical.
ECG demonstrated subtle ST-segment elevation in leads I and aVL with a prominent R wave in lead V1. This pattern was interpreted as consistent with an acute inferolateral MI. A baseline ECG, previously obtained by the patient’s internist, had been interpreted as normal.
Peak troponin level was 55 ng/mL (normal, < 0.03 ng/mL); total creatine kinase (CK), 807 U/L (reference range, 20 to 259 U/L); and mass CK-MB fraction, 44 ng/mL (0.1 to 6.6 ng/mL). Total cholesterol was 105 mg/dL, with both LDL- and HDL-cholesterol fractions at 46 mg/dL. A complete blood count without differential revealed a total white blood cell count of 53,000/µL. Hemoglobin and hematocrit were both low (12.3 g/dL and 34.5%, respectively). All indices were within normal limits, as was the platelet count. Glucose, blood urea nitrogen, creatinine, potassium chloride bicarbonate, and calcium were all within normal limits. The sodium level was slightly low (132 mEq/L). Emergency catheterization revealed an ejection fraction of 45% (reference range, 55% to 70%), with mild-to-moderate diffuse hypokinesis but normal coronary arteries.
The patient was diagnosed with myocarditis, likely of viral origin.
DISCUSSION
Although the incidence of myocarditis in the US is difficult to assess, autopsy reports implicate it in 8.6% to 12% of cases of sudden cardiac death in young adults,1,2 and a large prospective series implicated myocarditis in 9% of cases of dilated cardiomyopathy.3 Myocarditis is considered to be at one extreme of a spectrum of perimyocardial processes that result in inflammation of the myocardium (see figure), pericardium, or both.4
The underlying pathology involves an acute injury to the myocyte. This activates the innate and humoral immune systems, resulting in severe inflammation. The immune reaction eventually subsides, and the myocardium recovers. In certain patients, however, myocardial inflammation persists, resulting in ongoing myocyte damage, relentless symptomatic heart failure, or even death.5
Although a variety of diagnostic criteria have been developed and employed, the diagnosis of myocarditis is often one of exclusion. First proposed in 1986, the Dallas criteria—a histopathologic classification for myocarditis diagnosis—are based on endomyocardial biopsy, with inflammatory cellular infiltrate (with or without associated myocyte necrosis) visible on conventionally stained myocardial tissue sections.5 However, this method poses significant practical limitations, including low sensitivity (43% to 64%) and complication and death rates of 6% and 0.4%, respectively.5,6
An empiric diagnosis of myocarditis is often based on a combination of clinical findings including altered ECG, increase in myocardial enzymes, and lack of significant CAD.6 The recommended diagnostic cardiac magnetic resonance (CMR) imaging criteria for clinically suspected myocardial inflammation (ie, the Lake Louise Criteria) include at least two of the following:7
• Regional or global myocardial signal intensity increase in T2-weighted images.
• Increased global myocardial early gadolinium enhancement ratio between myocardium and skeletal muscle in gadolinium-enhanced T1-weighted images.
• At least one focal lesion with nonischemic regional distribution in inversion recovery–prepared gadolinium-enhanced T1-weighted images (“late gadolinium enhancement”).
Because of its reported high sensitivity and specificity (100% and 90%, respectively), CMR was used in the case patient to confirm the diagnosis of myocarditis.8 Specifically, CMR with contrast demonstrated normal left ventricular cavity size and mild reduction in overall left ventricular systolic function, with a visually estimated left ventricular ejection fraction of 45% to 50%. Regional hypokinesis of the mid-inferior wall and apical inferior septum was noted. Delayed contrast imaging demonstrated extensive non-CAD scarring and fibrosis, involving the basal anterior wall, basal inferior wall, and basal and midlateral wall in a pattern consistent with acute myocarditis.
Just as there is variability in the specific criteria by which the diagnosis of myocarditis can be made, the array of clinical findings with which it can manifest range from fatigue and other nonspecific symptoms to fulminant congestive heart failure and sudden death.6 Often, but not always, a viral prodrome precedes the onset of “cardiac symptoms” (eg, chest pain, dyspnea, palpitations, or syncope).5 This patient’s multiple risk factors for CAD and a suggestive, albeit atypical, history of chest discomfort, palpitations, and shortness of breath helped to focus the clinicians’ evaluation on the heart.
Potential Causes
Once a diagnosis of myocarditis is rendered, the next challenge is distinguishing its specific source from a plethora of potential etiologies, including infection, toxic exposure, or hypersensitivity/autoimmune reaction. Viral infections (mostly herpes, parvovirus, and cytomegalovirus) are thought to cause most cases of myocarditis in developed countries.5,9
Viral myocarditis results when viruses enter cardiac myocytes and incite a cytotoxic effect with activation of the immune response, including expression of interferon , natural killer cells, and release of nitric oxide. The majority of patients recover, but some develop an adaptive immune response, which further causes cardiac damage. In this response, antibodies to viral and to some cardiac proteins are produced, and effector T lymphocytes proliferate. Viral genome or inflammatory mechanisms may persist, contributing to ventricular dysfunction leading to heart failure and arrhythmias.10
Celiac disease is a chronic gastroenterologic disease caused by an immune response to a gluten protein. Damage to the brush border of the small intestine results in an inability to absorb fat, protein, vitamins, and minerals. Intermittent diarrhea, abdominal pain, and bloating are most commonly reported, but celiac disease may also manifest less obviously with iron deficiency anemia, joint pain, muscle cramps, osteoporosis, and neuropathy.11 Iron deficiency anemia that is refractory to iron replacement may offer insight into diagnosing myocarditis due to celiac disease.12 Although studies have found that more than 4% of patients with myocarditis also had celiac disease, none had the classic GI symptoms of celiac disease.12
Takotsubo cardiomyopathy is a transient left ventricular apical ballooning syndrome of unknown etiology. (For more information, see Fasolino T. Takotsubo cardiomyopathy: a clinical overview). Patients who have experienced emotional or physiologic stress and postmenopausal women appear to be at greatest risk. The clinical symptoms mimic MI, including chest pain with ST-segment elevation in the precordial leads on ECG13 and minor elevation of the cardiac enzyme and biomarker levels.14 However, patients experiencing this stress cardiomyopathy lack evidence of atherosclerotic CAD.15 An echocardiogram or CMR imaging reveals characteristic wall motion hypokinesis, akinesis, or dyskinesis of the left ventricular apex and mid-ventricle that help to differentiate it from other forms of myocarditis.15,16 Patient prognosis is favorable, with 95% of patients experiencing a full recovery; left ventricular dysfunction usually begins to improve in a few weeks.13,14
Sarcoidosis is a systemic disease resulting in noncaseating granulomas in multiple organs.17 Initial presentation typically includes bilateral hilar adenopathy, pulmonary reticular opacities, and/or skin, joint, or eye lesions.18 Patients with cardiac sarcoidosis most commonly present with conduction disturbances and ventricular arrhythmias.17 Although frequently absent, clinical symptoms may include palpitations, syncope, dizziness, or chest pain and clinical heart failure.17,18 It is difficult to distinguish cardiac sarcoidosis from other forms of myocarditis unless signs of systemic sarcoidosis are evident. A patient with suspected cardiac sarcoidosis should have an ECG to detect subclinical conduction abnormalities.17 The patient should wear a Holter monitor for 24 hours to screen for cardiac involvement, and echocardiography should be performed to define cardiac abnormalities.19
Giant-cell myocarditis (GCM) is a rare, rapidly progressive, and frequently fatal myocardial disease. Based on endomyocardial or surgical biopsy, GCM is histologically defined by multinucleated giant cells, a lymphocytic inflammatory infiltrate, and myocyte necrosis. It is often found in association with various immune-related systemic disorders.20 Patients present with heart failure, ventricular arrhythmias, and atrioventricular block that fails to improve with standard therapy.21
Treatment and Management
The typical management of acute myocarditis includes supportive care for left ventricular dysfunction and arrhythmia control.22 Many of the standard heart failure therapies—β-blockers, ACE inhibitors, angiotensin receptor blockers, and aldosterone antagonists—are efficacious; several, at least in animal models, appear to exert anti-inflammatory as well as the standard cardiovascular effects.23
Caution is advised regarding the selection of specific therapies. For example, in one study, metoprolol produced deleterious effects in acute murine Coxsackie virus myocarditis; inflammation, necrosis, and mortality significantly increased in the treatment group, compared with the placebo group.23
Information on the effects of particular therapies for specific etiologies of myocarditis are limited, but some evidence supports immunosuppressive and immune-modulating therapies for chronic, virus-negative inflammatory cardiomyopathy. Immunosuppressive therapy is also beneficial for acute GCM and sarcoidosis.23 For patients with myocarditis associated with celiac disease, a gluten-free diet alone or in combination with immunosuppressive agents can significantly improve clinical outcomes.12
OUTCOME FOR THE CASE PATIENT
Because the patient was already taking a statin and an ACE inhibitor for hypercholesterolemia and hypertension, respectively, as well as one baby aspirin per day, only a β-blocker was added to his discharge medication regimen.
Three months after hospital discharge, the patient underwent repeat CMR imaging. The ejection fraction had markedly improved to the 55%-to-60% range, although extensive midmyocardial-to-epicardial scarring in a multifocal pattern, primarily involving the basilar anterior and anterolateral wall, was still present, as was a small focus of an active (albeit healing) process in the inferior wall. Clinically, the patient was doing reasonably well and was vigorously exercising daily without dizziness, syncope, chest discomfort, or shortness of breath.
However, within several weeks of discharge, the patient reported having one two-hour episode of frequent palpitations at rest. Since that episode, palpitations have occurred infrequently. A 48-hour Holter monitor was ordered to better evaluate the palpitations and showed only rare premature ventricular contractions and isolated premature atrial contractions; no complex ectopy was noted. A follow-up stress echocardiogram was scheduled for 12 months, assuming the patient was free of clinical signs and symptoms of heart failure and arrhythmias at that time.
CONCLUSION
Myocarditis can manifest with a broad spectrum of signs and symptoms that may make its identification difficult, especially if a cardiac source is not initially considered in the differential diagnosis. However, for patients who present with elevated biomarkers and normal coronary artery anatomy, the identification of myocarditis is relatively easy; the difficulty in this circumstance relates to the identification of the specific etiology of the myocarditis.
The long-term prognosis for myocarditis is frequently good and the treatment straightforward, using medications that are modeled after standard heart failure therapy. However, depending on the etiology, specific treatment may be advisable—or required—in order to improve outcomes.
References
1. Fabre A, Sheppard MN. Sudden adult death syndrome and other nonischaemic causes of sudden cardiac death: a UK experience. Heart. 2006;92:316-320.
2. Doolan A, Semsarian C, Langlois N. Causes of sudden cardiac death in young Australians. Med J Aust. 2004;180:110-112.
3. Felker GM, Hu W, Hare JM, Hruban RH, et al. The spectrum of dilated cardiomyopathy: the Johns Hopkins experience with 1,278 patients. Medicine (Baltimore). 1999;78:270-283.
4. Leitman M, Tyomkin V, Peleg E, et al. Left ventricular function in acute inflammatory peri-myocardial diseases—new insights and long-term follow-up. Cardiovasc Ultrasound. 2012;10:42.
5. Blauwet LA, Cooper LT. Myocarditis. Prog Cardiovasc Dis. 2010;52:274-288.
6. Testani JM, Kolansky DM, Litt H, Gerstenfeld EP. Focal myocarditis mimicking acute ST-elevation myocardial infarction: diagnosis using cardiac magnetic resonance imaging. Tex Heart Inst J. 2006;33:256-259.
7. Friedrich MG, Sechtem U, Schulz-Menger J, et al. Cardiovascular magnetic resonance in myocarditis: a JACC white paper. J Am Coll Cardiol. 2009;53: 1475-1487.
8. Olimulder MA, van Es J, Galjee MA. The importance of cardiac MRI as a diagnostic tool in viral myocarditis-induced cardiomyopathy. Neth Heart J. 2009;17:481-486.
9. Mavrogeni S, Bratis K, Markussis V, et al. The diagnostic role of cardiac magnetic resonance imaging in detecting myocardial inflammation in systemic lupus erythematosus. Differentiation from viral myocarditis. Lupus. 2013;22:34-43.
10. Schultz JC, Hilliard AA, Cooper LT, Rihal CS. Diagnosis and treatment of viral myocarditis. Mayo Clin Proc. 2009;84:1001-1009.
11. Schuppan D, Dieterich W. Pathogenesis, epidemiology, and clinical manifestations of celiac disease in adults (2013). www.uptodate.com/contents/pathogenesis-epidemiology-and-clinical-manifestations-of-celiac-disease-in-adults. Accessed November 14, 2013.
12. Frustaci A, Cuoco L, Chimenti C, et al. Celiac disease associated with autoimmune myocarditis. Circulation. 2002;105:2611-2618.
13. Thakar S, Chandra P, Hollander G, Lichstein E. Electrocardiographic changes in Takotsubo cardiomyopathy. Pacing Clin Electrophysiol. 2011;34:
1278-1282.
14. Fefer P, Chelvanathan A, Dick A, et al. Takotsubo cardiomyopathy and left ventricular outflow tract obstruction. J Interv Cardiol. 2009;22:444-452.
15. Stensaeth KH, Fossum E, Hoffmann P, et al. Takotsubo cardiomyopathy in acute coronary syndrome; clinical features and contribution of cardiac magnetic resonance during the acute and convalescent phase. Scand Cardiovasc J. 2011;45:77-85.
16. Omerovic E. How to think about stress-induced cardiomyopathy?—Think “out of the box”! Scand Cardiovasc J. 2011;45:67-71.
17. McKenna WJ. Cardiac sarcoidosis (2013). www.uptodate.com/contents/cardiac-sarcoidosis. Accessed November 14, 2013.
18. King TE Jr. Clinical manifestations and diagnosis of sarcoidosis (2013). www.uptodate.com/contents/clinical-manifestations-and-diagnosis-of-sarcoidosis. Accessed November 14, 2013.
19. Bussinguer M, Danielian A, Sharma O. Cardiac sarcoidosis: diagnosis and management. Curr Treat Options Cardiovasc Med. 2012;14:652-664.
20. Cooper LT Jr, Berry GJ, Shabetai R; Multicenter Giant Cell Myocarditis Study Group Investigators. Idiopathic giant-cell myocarditis—natural history and treatment. N Engl J Med. 1997;336(26):1860-1866.
21. Kandolin R, Lehtonen J, Salmenkivi K, et al. Diagnosis, treatment, and outcome of giant-cell myocarditis in the era of combined immunosuppression. Circ Heart Fail. 2013;6:15-22.
22. Htwe TH, Khardori NM. Cardiac emergencies: infective endocarditis, pericarditis, and myocarditis. Med Clin North Am. 2012;96:1149-1169.
23. Kindermann I, Barth C, Mahfoud F, et al. Update on myocarditis. J Am Coll Cardiol. 2012;59:779-792.
A 55-year-old white man with controlled hypertension and hypercholesterolemia awoke with mild chest discomfort that he believed was mild gastroesophageal reflux. He denied radiation of pain to the shoulders, arms, back, or neck; dyspnea; palpitations; diaphoresis; nausea/vomiting; cough; or fever, during the first 30 hours of discomfort. There was no change in discomfort with deep breath, palpation of the chest, or administration of antacids. Minimal, short-lived improvement was noted with belching.
The patient had no trouble sleeping in the prone position and did not notice an increase in discomfort or unusual difficulty during his daily vigorous 30-minute aerobic workout. In fact, his symptoms seemed to improve or disappear during exercise. The patient denied any recent illness or exposure to sick people, had not traveled outside the United States, and had not been exposed to radiation of the chest wall. At the end of the second day of discomfort, the patient noted irregular palpitations with mild shortness of breath and was transported to the hospital for evaluation. He denied being a cigarette smoker or illicit drug user.
The patient had no history of MI or diabetes. The patient’s father had an MI in his 80s, and two uncles died suddenly in their 50s of “massive heart attacks.” His mother, who had died of sepsis of uncertain etiology approximately 10 days earlier, also had hypertension and hypercholesterolemia but no history of coronary artery disease (CAD). Both of the patient’s adult daughters had been diagnosed with celiac disease in the preceding three years. His elder daughter had also been diagnosed with type 1 diabetes within the past two years.
On examination, the patient was afebrile, with a blood pressure of 143/87 mm Hg; pulse, 53 beats/min; and respiratory rate, 17 breaths/min. The patient’s weight was 204 lb and his height, 75 in (BMI, 25.5). The patient was in no apparent distress. Head, eyes, ears, nose, and throat were unremarkable. There was no significant jugular venous distention. The carotid pulses were full, and no bruits were appreciated. S1 and S2 sounds were within normal limits. No murmurs or S3 or S4 gallops were appreciated. The chest was clear on auscultation. Results of the abdominal exam were negative, no edema was noted in the extremities, and pulses were symmetrical.
ECG demonstrated subtle ST-segment elevation in leads I and aVL with a prominent R wave in lead V1. This pattern was interpreted as consistent with an acute inferolateral MI. A baseline ECG, previously obtained by the patient’s internist, had been interpreted as normal.
Peak troponin level was 55 ng/mL (normal, < 0.03 ng/mL); total creatine kinase (CK), 807 U/L (reference range, 20 to 259 U/L); and mass CK-MB fraction, 44 ng/mL (0.1 to 6.6 ng/mL). Total cholesterol was 105 mg/dL, with both LDL- and HDL-cholesterol fractions at 46 mg/dL. A complete blood count without differential revealed a total white blood cell count of 53,000/µL. Hemoglobin and hematocrit were both low (12.3 g/dL and 34.5%, respectively). All indices were within normal limits, as was the platelet count. Glucose, blood urea nitrogen, creatinine, potassium chloride bicarbonate, and calcium were all within normal limits. The sodium level was slightly low (132 mEq/L). Emergency catheterization revealed an ejection fraction of 45% (reference range, 55% to 70%), with mild-to-moderate diffuse hypokinesis but normal coronary arteries.
The patient was diagnosed with myocarditis, likely of viral origin.
DISCUSSION
Although the incidence of myocarditis in the US is difficult to assess, autopsy reports implicate it in 8.6% to 12% of cases of sudden cardiac death in young adults,1,2 and a large prospective series implicated myocarditis in 9% of cases of dilated cardiomyopathy.3 Myocarditis is considered to be at one extreme of a spectrum of perimyocardial processes that result in inflammation of the myocardium (see figure), pericardium, or both.4
The underlying pathology involves an acute injury to the myocyte. This activates the innate and humoral immune systems, resulting in severe inflammation. The immune reaction eventually subsides, and the myocardium recovers. In certain patients, however, myocardial inflammation persists, resulting in ongoing myocyte damage, relentless symptomatic heart failure, or even death.5
Although a variety of diagnostic criteria have been developed and employed, the diagnosis of myocarditis is often one of exclusion. First proposed in 1986, the Dallas criteria—a histopathologic classification for myocarditis diagnosis—are based on endomyocardial biopsy, with inflammatory cellular infiltrate (with or without associated myocyte necrosis) visible on conventionally stained myocardial tissue sections.5 However, this method poses significant practical limitations, including low sensitivity (43% to 64%) and complication and death rates of 6% and 0.4%, respectively.5,6
An empiric diagnosis of myocarditis is often based on a combination of clinical findings including altered ECG, increase in myocardial enzymes, and lack of significant CAD.6 The recommended diagnostic cardiac magnetic resonance (CMR) imaging criteria for clinically suspected myocardial inflammation (ie, the Lake Louise Criteria) include at least two of the following:7
• Regional or global myocardial signal intensity increase in T2-weighted images.
• Increased global myocardial early gadolinium enhancement ratio between myocardium and skeletal muscle in gadolinium-enhanced T1-weighted images.
• At least one focal lesion with nonischemic regional distribution in inversion recovery–prepared gadolinium-enhanced T1-weighted images (“late gadolinium enhancement”).
Because of its reported high sensitivity and specificity (100% and 90%, respectively), CMR was used in the case patient to confirm the diagnosis of myocarditis.8 Specifically, CMR with contrast demonstrated normal left ventricular cavity size and mild reduction in overall left ventricular systolic function, with a visually estimated left ventricular ejection fraction of 45% to 50%. Regional hypokinesis of the mid-inferior wall and apical inferior septum was noted. Delayed contrast imaging demonstrated extensive non-CAD scarring and fibrosis, involving the basal anterior wall, basal inferior wall, and basal and midlateral wall in a pattern consistent with acute myocarditis.
Just as there is variability in the specific criteria by which the diagnosis of myocarditis can be made, the array of clinical findings with which it can manifest range from fatigue and other nonspecific symptoms to fulminant congestive heart failure and sudden death.6 Often, but not always, a viral prodrome precedes the onset of “cardiac symptoms” (eg, chest pain, dyspnea, palpitations, or syncope).5 This patient’s multiple risk factors for CAD and a suggestive, albeit atypical, history of chest discomfort, palpitations, and shortness of breath helped to focus the clinicians’ evaluation on the heart.
Potential Causes
Once a diagnosis of myocarditis is rendered, the next challenge is distinguishing its specific source from a plethora of potential etiologies, including infection, toxic exposure, or hypersensitivity/autoimmune reaction. Viral infections (mostly herpes, parvovirus, and cytomegalovirus) are thought to cause most cases of myocarditis in developed countries.5,9
Viral myocarditis results when viruses enter cardiac myocytes and incite a cytotoxic effect with activation of the immune response, including expression of interferon , natural killer cells, and release of nitric oxide. The majority of patients recover, but some develop an adaptive immune response, which further causes cardiac damage. In this response, antibodies to viral and to some cardiac proteins are produced, and effector T lymphocytes proliferate. Viral genome or inflammatory mechanisms may persist, contributing to ventricular dysfunction leading to heart failure and arrhythmias.10
Celiac disease is a chronic gastroenterologic disease caused by an immune response to a gluten protein. Damage to the brush border of the small intestine results in an inability to absorb fat, protein, vitamins, and minerals. Intermittent diarrhea, abdominal pain, and bloating are most commonly reported, but celiac disease may also manifest less obviously with iron deficiency anemia, joint pain, muscle cramps, osteoporosis, and neuropathy.11 Iron deficiency anemia that is refractory to iron replacement may offer insight into diagnosing myocarditis due to celiac disease.12 Although studies have found that more than 4% of patients with myocarditis also had celiac disease, none had the classic GI symptoms of celiac disease.12
Takotsubo cardiomyopathy is a transient left ventricular apical ballooning syndrome of unknown etiology. (For more information, see Fasolino T. Takotsubo cardiomyopathy: a clinical overview). Patients who have experienced emotional or physiologic stress and postmenopausal women appear to be at greatest risk. The clinical symptoms mimic MI, including chest pain with ST-segment elevation in the precordial leads on ECG13 and minor elevation of the cardiac enzyme and biomarker levels.14 However, patients experiencing this stress cardiomyopathy lack evidence of atherosclerotic CAD.15 An echocardiogram or CMR imaging reveals characteristic wall motion hypokinesis, akinesis, or dyskinesis of the left ventricular apex and mid-ventricle that help to differentiate it from other forms of myocarditis.15,16 Patient prognosis is favorable, with 95% of patients experiencing a full recovery; left ventricular dysfunction usually begins to improve in a few weeks.13,14
Sarcoidosis is a systemic disease resulting in noncaseating granulomas in multiple organs.17 Initial presentation typically includes bilateral hilar adenopathy, pulmonary reticular opacities, and/or skin, joint, or eye lesions.18 Patients with cardiac sarcoidosis most commonly present with conduction disturbances and ventricular arrhythmias.17 Although frequently absent, clinical symptoms may include palpitations, syncope, dizziness, or chest pain and clinical heart failure.17,18 It is difficult to distinguish cardiac sarcoidosis from other forms of myocarditis unless signs of systemic sarcoidosis are evident. A patient with suspected cardiac sarcoidosis should have an ECG to detect subclinical conduction abnormalities.17 The patient should wear a Holter monitor for 24 hours to screen for cardiac involvement, and echocardiography should be performed to define cardiac abnormalities.19
Giant-cell myocarditis (GCM) is a rare, rapidly progressive, and frequently fatal myocardial disease. Based on endomyocardial or surgical biopsy, GCM is histologically defined by multinucleated giant cells, a lymphocytic inflammatory infiltrate, and myocyte necrosis. It is often found in association with various immune-related systemic disorders.20 Patients present with heart failure, ventricular arrhythmias, and atrioventricular block that fails to improve with standard therapy.21
Treatment and Management
The typical management of acute myocarditis includes supportive care for left ventricular dysfunction and arrhythmia control.22 Many of the standard heart failure therapies—β-blockers, ACE inhibitors, angiotensin receptor blockers, and aldosterone antagonists—are efficacious; several, at least in animal models, appear to exert anti-inflammatory as well as the standard cardiovascular effects.23
Caution is advised regarding the selection of specific therapies. For example, in one study, metoprolol produced deleterious effects in acute murine Coxsackie virus myocarditis; inflammation, necrosis, and mortality significantly increased in the treatment group, compared with the placebo group.23
Information on the effects of particular therapies for specific etiologies of myocarditis are limited, but some evidence supports immunosuppressive and immune-modulating therapies for chronic, virus-negative inflammatory cardiomyopathy. Immunosuppressive therapy is also beneficial for acute GCM and sarcoidosis.23 For patients with myocarditis associated with celiac disease, a gluten-free diet alone or in combination with immunosuppressive agents can significantly improve clinical outcomes.12
OUTCOME FOR THE CASE PATIENT
Because the patient was already taking a statin and an ACE inhibitor for hypercholesterolemia and hypertension, respectively, as well as one baby aspirin per day, only a β-blocker was added to his discharge medication regimen.
Three months after hospital discharge, the patient underwent repeat CMR imaging. The ejection fraction had markedly improved to the 55%-to-60% range, although extensive midmyocardial-to-epicardial scarring in a multifocal pattern, primarily involving the basilar anterior and anterolateral wall, was still present, as was a small focus of an active (albeit healing) process in the inferior wall. Clinically, the patient was doing reasonably well and was vigorously exercising daily without dizziness, syncope, chest discomfort, or shortness of breath.
However, within several weeks of discharge, the patient reported having one two-hour episode of frequent palpitations at rest. Since that episode, palpitations have occurred infrequently. A 48-hour Holter monitor was ordered to better evaluate the palpitations and showed only rare premature ventricular contractions and isolated premature atrial contractions; no complex ectopy was noted. A follow-up stress echocardiogram was scheduled for 12 months, assuming the patient was free of clinical signs and symptoms of heart failure and arrhythmias at that time.
CONCLUSION
Myocarditis can manifest with a broad spectrum of signs and symptoms that may make its identification difficult, especially if a cardiac source is not initially considered in the differential diagnosis. However, for patients who present with elevated biomarkers and normal coronary artery anatomy, the identification of myocarditis is relatively easy; the difficulty in this circumstance relates to the identification of the specific etiology of the myocarditis.
The long-term prognosis for myocarditis is frequently good and the treatment straightforward, using medications that are modeled after standard heart failure therapy. However, depending on the etiology, specific treatment may be advisable—or required—in order to improve outcomes.
References
1. Fabre A, Sheppard MN. Sudden adult death syndrome and other nonischaemic causes of sudden cardiac death: a UK experience. Heart. 2006;92:316-320.
2. Doolan A, Semsarian C, Langlois N. Causes of sudden cardiac death in young Australians. Med J Aust. 2004;180:110-112.
3. Felker GM, Hu W, Hare JM, Hruban RH, et al. The spectrum of dilated cardiomyopathy: the Johns Hopkins experience with 1,278 patients. Medicine (Baltimore). 1999;78:270-283.
4. Leitman M, Tyomkin V, Peleg E, et al. Left ventricular function in acute inflammatory peri-myocardial diseases—new insights and long-term follow-up. Cardiovasc Ultrasound. 2012;10:42.
5. Blauwet LA, Cooper LT. Myocarditis. Prog Cardiovasc Dis. 2010;52:274-288.
6. Testani JM, Kolansky DM, Litt H, Gerstenfeld EP. Focal myocarditis mimicking acute ST-elevation myocardial infarction: diagnosis using cardiac magnetic resonance imaging. Tex Heart Inst J. 2006;33:256-259.
7. Friedrich MG, Sechtem U, Schulz-Menger J, et al. Cardiovascular magnetic resonance in myocarditis: a JACC white paper. J Am Coll Cardiol. 2009;53: 1475-1487.
8. Olimulder MA, van Es J, Galjee MA. The importance of cardiac MRI as a diagnostic tool in viral myocarditis-induced cardiomyopathy. Neth Heart J. 2009;17:481-486.
9. Mavrogeni S, Bratis K, Markussis V, et al. The diagnostic role of cardiac magnetic resonance imaging in detecting myocardial inflammation in systemic lupus erythematosus. Differentiation from viral myocarditis. Lupus. 2013;22:34-43.
10. Schultz JC, Hilliard AA, Cooper LT, Rihal CS. Diagnosis and treatment of viral myocarditis. Mayo Clin Proc. 2009;84:1001-1009.
11. Schuppan D, Dieterich W. Pathogenesis, epidemiology, and clinical manifestations of celiac disease in adults (2013). www.uptodate.com/contents/pathogenesis-epidemiology-and-clinical-manifestations-of-celiac-disease-in-adults. Accessed November 14, 2013.
12. Frustaci A, Cuoco L, Chimenti C, et al. Celiac disease associated with autoimmune myocarditis. Circulation. 2002;105:2611-2618.
13. Thakar S, Chandra P, Hollander G, Lichstein E. Electrocardiographic changes in Takotsubo cardiomyopathy. Pacing Clin Electrophysiol. 2011;34:
1278-1282.
14. Fefer P, Chelvanathan A, Dick A, et al. Takotsubo cardiomyopathy and left ventricular outflow tract obstruction. J Interv Cardiol. 2009;22:444-452.
15. Stensaeth KH, Fossum E, Hoffmann P, et al. Takotsubo cardiomyopathy in acute coronary syndrome; clinical features and contribution of cardiac magnetic resonance during the acute and convalescent phase. Scand Cardiovasc J. 2011;45:77-85.
16. Omerovic E. How to think about stress-induced cardiomyopathy?—Think “out of the box”! Scand Cardiovasc J. 2011;45:67-71.
17. McKenna WJ. Cardiac sarcoidosis (2013). www.uptodate.com/contents/cardiac-sarcoidosis. Accessed November 14, 2013.
18. King TE Jr. Clinical manifestations and diagnosis of sarcoidosis (2013). www.uptodate.com/contents/clinical-manifestations-and-diagnosis-of-sarcoidosis. Accessed November 14, 2013.
19. Bussinguer M, Danielian A, Sharma O. Cardiac sarcoidosis: diagnosis and management. Curr Treat Options Cardiovasc Med. 2012;14:652-664.
20. Cooper LT Jr, Berry GJ, Shabetai R; Multicenter Giant Cell Myocarditis Study Group Investigators. Idiopathic giant-cell myocarditis—natural history and treatment. N Engl J Med. 1997;336(26):1860-1866.
21. Kandolin R, Lehtonen J, Salmenkivi K, et al. Diagnosis, treatment, and outcome of giant-cell myocarditis in the era of combined immunosuppression. Circ Heart Fail. 2013;6:15-22.
22. Htwe TH, Khardori NM. Cardiac emergencies: infective endocarditis, pericarditis, and myocarditis. Med Clin North Am. 2012;96:1149-1169.
23. Kindermann I, Barth C, Mahfoud F, et al. Update on myocarditis. J Am Coll Cardiol. 2012;59:779-792.
Best age to begin screening mammograms: How I manage my patients
Controversy has surrounded the utility of screening mammograms, particularly in women in their 40s. In 2009, the US Preventive Services Task Force recommended that screening mammography begin at age 50 and that women aged 50 to 74 receive a mammogram every 2 years.1 However, the American Cancer Society2 and other professional groups continue to recommend that annual screening begin at age 40, leading to controversy and confusion among women’s health clinicians and our patients.
In a recent study, Webb and colleagues3 used registry data based on a health plan in a single US city to assess the cause of death and mammogram history of 1,705 women who died following a diagnosis of invasive breast cancer from 1990 to 1999. They confirmed that 609 of these deaths were from breast cancer. How many of these patients were screened?
What did they find?
The investigators found that 29% of the 609 women who died from breast cancer had been screened for it—19% of the cancers that caused death were screen-detected and 10% were interval cancers. (Interval cancers were defined as symptomatic or palpable tumors that presented less than 2 years after the prior screening mammogram.) That means that 71% of 609 deaths from breast cancer were among unscreened women, with 6% of the fatal cancers diagnosed more than 2 years after the last mammogram and 65% never found upon screening because screening did not occur.
Among deaths caused (n = 609) and not caused (n = 905) by breast cancer, the median age at diagnosis was 49 and 72 years, respectively. Investigators concluded that regular screening of women younger than age 50 years would lower the death rate from breast cancer.
Related Article: Biennial vs annual mammography: How I manage my patients Andrew M. Kaunitz, MD (June 2013)
Let’s not jump to any conclusions
Although some may find the report by Webb and colleagues persuasive, I am concerned about this study’s limitations, of which there are a few. First, analyses that focus on women diagnosed with breast cancers do not allow comparison of outcomes among screened and unscreened populations.
Moreover, this report provides no information on treatment received by screened and unscreened women. It is likely that women who have never been screened, or who have been screened only infrequently, are considerably less affluent and less educated than women who are regularly screened. Accordingly, upon noting a palpable breast mass, unscreened women may be less likely to seek timely medical attention than regularly screened women, leading to differences in breast cancer outcomes, which are independent of screening history.
How I counsel my patients
For now, I will continue to be laissez-fare in my recommendations about screening mammograms for average-risk women in their 40s by supporting their individual preferences about when to initiate such screening.
- Screening for breast cancer, Topic Page. US Preventive Services Task Force. http://www.uspreventiveservicestaskforce.org/uspstf/uspsbrca.htm. Updated July 2010. Accessed October 28, 2013.
- American Cancer Society Guidelines for the Early Detection of Cancer: Breast cancer. American Cancer Society Web site. http://www.cancer.org/healthy/findcancerearly/cancerscreeningguidelines/american-cancer-society-guidelines-for-the-early-detection-of-cancer. Updated May 3, 2013. Accessed October 28, 2013.
- Webb ML, Cady B, Michaelson JS, et al. A failure analysis of invasive breast cancer: Most deaths from disease occur in women not regularly screened [published online ahead of print September 9, 2013]. Cancer. doi:10.1002/cncr.28199.
Controversy has surrounded the utility of screening mammograms, particularly in women in their 40s. In 2009, the US Preventive Services Task Force recommended that screening mammography begin at age 50 and that women aged 50 to 74 receive a mammogram every 2 years.1 However, the American Cancer Society2 and other professional groups continue to recommend that annual screening begin at age 40, leading to controversy and confusion among women’s health clinicians and our patients.
In a recent study, Webb and colleagues3 used registry data based on a health plan in a single US city to assess the cause of death and mammogram history of 1,705 women who died following a diagnosis of invasive breast cancer from 1990 to 1999. They confirmed that 609 of these deaths were from breast cancer. How many of these patients were screened?
What did they find?
The investigators found that 29% of the 609 women who died from breast cancer had been screened for it—19% of the cancers that caused death were screen-detected and 10% were interval cancers. (Interval cancers were defined as symptomatic or palpable tumors that presented less than 2 years after the prior screening mammogram.) That means that 71% of 609 deaths from breast cancer were among unscreened women, with 6% of the fatal cancers diagnosed more than 2 years after the last mammogram and 65% never found upon screening because screening did not occur.
Among deaths caused (n = 609) and not caused (n = 905) by breast cancer, the median age at diagnosis was 49 and 72 years, respectively. Investigators concluded that regular screening of women younger than age 50 years would lower the death rate from breast cancer.
Related Article: Biennial vs annual mammography: How I manage my patients Andrew M. Kaunitz, MD (June 2013)
Let’s not jump to any conclusions
Although some may find the report by Webb and colleagues persuasive, I am concerned about this study’s limitations, of which there are a few. First, analyses that focus on women diagnosed with breast cancers do not allow comparison of outcomes among screened and unscreened populations.
Moreover, this report provides no information on treatment received by screened and unscreened women. It is likely that women who have never been screened, or who have been screened only infrequently, are considerably less affluent and less educated than women who are regularly screened. Accordingly, upon noting a palpable breast mass, unscreened women may be less likely to seek timely medical attention than regularly screened women, leading to differences in breast cancer outcomes, which are independent of screening history.
How I counsel my patients
For now, I will continue to be laissez-fare in my recommendations about screening mammograms for average-risk women in their 40s by supporting their individual preferences about when to initiate such screening.
Controversy has surrounded the utility of screening mammograms, particularly in women in their 40s. In 2009, the US Preventive Services Task Force recommended that screening mammography begin at age 50 and that women aged 50 to 74 receive a mammogram every 2 years.1 However, the American Cancer Society2 and other professional groups continue to recommend that annual screening begin at age 40, leading to controversy and confusion among women’s health clinicians and our patients.
In a recent study, Webb and colleagues3 used registry data based on a health plan in a single US city to assess the cause of death and mammogram history of 1,705 women who died following a diagnosis of invasive breast cancer from 1990 to 1999. They confirmed that 609 of these deaths were from breast cancer. How many of these patients were screened?
What did they find?
The investigators found that 29% of the 609 women who died from breast cancer had been screened for it—19% of the cancers that caused death were screen-detected and 10% were interval cancers. (Interval cancers were defined as symptomatic or palpable tumors that presented less than 2 years after the prior screening mammogram.) That means that 71% of 609 deaths from breast cancer were among unscreened women, with 6% of the fatal cancers diagnosed more than 2 years after the last mammogram and 65% never found upon screening because screening did not occur.
Among deaths caused (n = 609) and not caused (n = 905) by breast cancer, the median age at diagnosis was 49 and 72 years, respectively. Investigators concluded that regular screening of women younger than age 50 years would lower the death rate from breast cancer.
Related Article: Biennial vs annual mammography: How I manage my patients Andrew M. Kaunitz, MD (June 2013)
Let’s not jump to any conclusions
Although some may find the report by Webb and colleagues persuasive, I am concerned about this study’s limitations, of which there are a few. First, analyses that focus on women diagnosed with breast cancers do not allow comparison of outcomes among screened and unscreened populations.
Moreover, this report provides no information on treatment received by screened and unscreened women. It is likely that women who have never been screened, or who have been screened only infrequently, are considerably less affluent and less educated than women who are regularly screened. Accordingly, upon noting a palpable breast mass, unscreened women may be less likely to seek timely medical attention than regularly screened women, leading to differences in breast cancer outcomes, which are independent of screening history.
How I counsel my patients
For now, I will continue to be laissez-fare in my recommendations about screening mammograms for average-risk women in their 40s by supporting their individual preferences about when to initiate such screening.
- Screening for breast cancer, Topic Page. US Preventive Services Task Force. http://www.uspreventiveservicestaskforce.org/uspstf/uspsbrca.htm. Updated July 2010. Accessed October 28, 2013.
- American Cancer Society Guidelines for the Early Detection of Cancer: Breast cancer. American Cancer Society Web site. http://www.cancer.org/healthy/findcancerearly/cancerscreeningguidelines/american-cancer-society-guidelines-for-the-early-detection-of-cancer. Updated May 3, 2013. Accessed October 28, 2013.
- Webb ML, Cady B, Michaelson JS, et al. A failure analysis of invasive breast cancer: Most deaths from disease occur in women not regularly screened [published online ahead of print September 9, 2013]. Cancer. doi:10.1002/cncr.28199.
- Screening for breast cancer, Topic Page. US Preventive Services Task Force. http://www.uspreventiveservicestaskforce.org/uspstf/uspsbrca.htm. Updated July 2010. Accessed October 28, 2013.
- American Cancer Society Guidelines for the Early Detection of Cancer: Breast cancer. American Cancer Society Web site. http://www.cancer.org/healthy/findcancerearly/cancerscreeningguidelines/american-cancer-society-guidelines-for-the-early-detection-of-cancer. Updated May 3, 2013. Accessed October 28, 2013.
- Webb ML, Cady B, Michaelson JS, et al. A failure analysis of invasive breast cancer: Most deaths from disease occur in women not regularly screened [published online ahead of print September 9, 2013]. Cancer. doi:10.1002/cncr.28199.
Hereditary Hemochromatosis as a Cause of Hypogonadism
JR, a 34-year-old Caucasian man, was in his normal state of good health until several months ago, when he developed fatigue, low libido, and insomnia. He reports normal erectile function, adding that he fathered a child at age 24. His medical history and remaining review of systems are negative. Physical exam is unremarkable. His BMI is 23.
Labwork reveals low free and total testosterone levels with low FSH and LH levels. Thyroid-stimulating hormone, free T4, and prolactin levels are within normal range, comprehensive metabolic panel is unremarkable, and pituitary MRI is negative. The complete blood count reveals slightly elevated hemoglobin and hematocrit, prompting ordering of iron studies that reveal elevated ferritin and serum iron levels and elevated percent transferrin saturation. Lab values are shown in the table.
Based on his elevated ferritin and transferrin saturation levels, JR undergoes genetic testing for hereditary hemochromatosis (HH) with C282Y and H63D mutation analysis. He is found to have the homozygous C282Y genotype (C282Y/C282Y) for HH.
JR establishes care with a hematologist and is advised to receive therapeutic phlebotomy until his ferritin level is between 10 and 50 ng/mL. An abdominal ultrasound, ordered to screen for hepatomegaly, yields normal results. JR elects not to receive testosterone replacement therapy.
Three months later, labwork reveals a free testosterone level of 120 pg/mL with normal hemoglobin and hematocrit levels, normal transaminases, a ferritin level of 28 ng/mL, and a percent transferrin saturation of 31%. Additional values are shown in the table.
BACKGROUND AND GENETICS
Hereditary hemochromatosis is an autosomal recessive iron storage disorder in which intestinal iron absorption is markedly increased. This results in iron overload and excessive iron deposition in numerous tissues, glands, and organs.1
In patients with HH, a genetic defect causes abnormal expression of the HFE protein that regulates hepcidin production. Hepcidin is an iron regulatory hormone, secreted by hepatocytes, that decreases intestinal iron absorption in response to excess iron.2 Ninety percent of individuals affected by HH are homozygous for mutation at amino acid position 282 on the HFE gene, which causes an inappropriate decrease in hepcidin expression in response to elevated iron levels.2,3 Only 10% of individuals homozygous for the C282Y mutation actually develop clinically apparent end-organ damage.2
Being a carrier (heterozygous) for the C282Y mutation confers significantly lower risk for iron overload. The second most common mutation in the HFE gene, H63D, is associated with a milder phenotype. Those with compound heterozygosity for C282Y/H63D or homozygosity for H63D typically experience either mild or no detectable symptoms.1,3
There can be mutations in other genes involved in iron metabolism, but these represent more rare forms of hemochromatosis. Conditions such as thalassemia, sideroblastic anemia, porphyria cutanea tarda, and chronic liver disease may also be associated with iron overload.1,3
HH is most common in white populations of northern European descent. Multiple factors—including dietary iron intake, alcohol consumption, blood donation, blood loss associated with menstruation, and pregnancy—affect the expression of clinical features of hemochromatosis. Men are 24 times more likely than women to express clinical features of hemochromatosis.2 Approximately 70% of affected patients develop symptoms between ages 40 and 60.1
CLINICAL MANIFESTATIONS
The liver is typically the first organ affected, and hepatomegaly is present in 95% of symptomatic patients, even in the presence of normal transaminase levels.1 A bronzed, metallic, or slate gray skin coloration can occur due to increased iron deposition in the dermis. Arthralgias in the hands, wrists, hips, knees, and ankles are present in up to 50% of patients with hemochromatosis. Cardiac manifestations include restrictive cardiomyopathy, congestive heart failure, and arrhythmias.1
Iron deposition in the beta cells of the pancreas causes diabetes1 and in the pituitary causes hypogonadotropic hypogonadism in both men and women, resulting in decreased libido, amenorrhea, testicular atrophy, gynecomastia, and reduced body hair. Primary testicular dysfunction may occur due to iron deposition in the testicles.1,4 In the thyroid gland, iron deposition can lead to abnormal function. Secondary hypothyroidism is rare in the setting of iron overload, although iron deposition occasionally occurs in pituitary thyrotrophs (usually only to a mild degree). Adrenal insufficiency and hypoparathyroidism may also result from iron overload.5
CLINICAL STUDIES TO ASSESS IRON STORES
When assessing tissue iron stores, it is important to measure the serum iron level, total iron-binding capacity, and ferritin in the fasting state.2 This information can be used to calculate the percent transferrin saturation. If the serum ferritin is elevated (> 300 ng/mL in men and > 200 ng/mL in women) and/or the transferrin saturation is greater than 45%, referral to hematology or hepatology is recommended, along with genetic testing for hemochromatosis.1,2
Once the diagnosis of hemochromatosis has been confirmed, CT or MRI can be used to assess for increased density of the liver.1 Liver biopsy can determine the degree of fibrosis and is often considered in patients with more extreme elevations of serum ferritin levels and/or hepatomegaly. Liver biopsy is the only reliable method for determining whether hepatic cirrhosis, which increases risk for hepatocellular carcinoma, is present.1
TREATMENT
All patients with homozygous HH and evidence of iron overload require treatment, regardless of symptoms. Phlebotomy is the standard of care, due to its low cost and relative safety. Chelating agents are a second-line option when contraindications to phlebotomy (eg, anemia) exist.1,2
Alcohol consumption, especially in the presence of iron overload or liver disease, should be avoided, as it can increase risk for cirrhosis by nearly tenfold.1 Dietary modification is typically unnecessary, aside from the avoidance of iron and vitamin C supplementation.2 Patients should also eliminate raw shellfish from their diet, as they may carry bacteria that can cause potentially fatal infection (since high iron levels impair hepcidin bactericidal activity).2
The management of hepatic failure, cardiac failure, and diabetes in patients with HH is similar to conventional management of these conditions.1 With phlebotomy, the liver and spleen often decrease in size, liver function improves, skin pigmentation lightens, cardiac failure may be reversed, and diabetes control often improves.1,2 Testosterone levels may normalize after phlebotomy, especially if HH is diagnosed in the early stages. In more advanced cases, testosterone replacement therapy in combination with aggressive phlebotomy may be necessary.4
CONCLUSION
A high index of suspicion is required to diagnose hemochromatosis early. HH should be considered in the differential diagnosis for patients with hypogonadotropic hypogonadism, abnormal iron studies, elevated transaminase levels, and a family history of hemochromatosis.
Once the diagnosis is established, all first-degree relatives should be screened.1 Early therapy is crucial to prevent complications from iron overload.
REFERENCES
1. Powell LW. Hemochromatosis. In: Fauci AS, Braunwald E, Kasper DL, et al (eds). Harrison’s Principles of Internal Medicine. 17th ed. New York, NY: McGraw-Hill; 2008:2429-2433.
2. Crownover BK, Carlton JC. Hereditary hemochromatosis. Am Fam Phys. 2013;87(3):183-190.
3. Camaschella C. Understanding iron homeostasis through genetic analysis of hemochromatosis and related disorders. Blood. 2005;106(12):3710-3717.
4. McDermott JH, Walsh CH. Hypogonadism in hereditary hemochromatosis. J Clin Endocrinol Metab. 2005;90(4):2451-2455.
5. Hudec M, Grigerova M, Walsh CH. Secondary hypothyroidism in hereditary hemochromatosis: recovery after iron depletion. Thyroid. 2008;18(2):255-257.
JR, a 34-year-old Caucasian man, was in his normal state of good health until several months ago, when he developed fatigue, low libido, and insomnia. He reports normal erectile function, adding that he fathered a child at age 24. His medical history and remaining review of systems are negative. Physical exam is unremarkable. His BMI is 23.
Labwork reveals low free and total testosterone levels with low FSH and LH levels. Thyroid-stimulating hormone, free T4, and prolactin levels are within normal range, comprehensive metabolic panel is unremarkable, and pituitary MRI is negative. The complete blood count reveals slightly elevated hemoglobin and hematocrit, prompting ordering of iron studies that reveal elevated ferritin and serum iron levels and elevated percent transferrin saturation. Lab values are shown in the table.
Based on his elevated ferritin and transferrin saturation levels, JR undergoes genetic testing for hereditary hemochromatosis (HH) with C282Y and H63D mutation analysis. He is found to have the homozygous C282Y genotype (C282Y/C282Y) for HH.
JR establishes care with a hematologist and is advised to receive therapeutic phlebotomy until his ferritin level is between 10 and 50 ng/mL. An abdominal ultrasound, ordered to screen for hepatomegaly, yields normal results. JR elects not to receive testosterone replacement therapy.
Three months later, labwork reveals a free testosterone level of 120 pg/mL with normal hemoglobin and hematocrit levels, normal transaminases, a ferritin level of 28 ng/mL, and a percent transferrin saturation of 31%. Additional values are shown in the table.
BACKGROUND AND GENETICS
Hereditary hemochromatosis is an autosomal recessive iron storage disorder in which intestinal iron absorption is markedly increased. This results in iron overload and excessive iron deposition in numerous tissues, glands, and organs.1
In patients with HH, a genetic defect causes abnormal expression of the HFE protein that regulates hepcidin production. Hepcidin is an iron regulatory hormone, secreted by hepatocytes, that decreases intestinal iron absorption in response to excess iron.2 Ninety percent of individuals affected by HH are homozygous for mutation at amino acid position 282 on the HFE gene, which causes an inappropriate decrease in hepcidin expression in response to elevated iron levels.2,3 Only 10% of individuals homozygous for the C282Y mutation actually develop clinically apparent end-organ damage.2
Being a carrier (heterozygous) for the C282Y mutation confers significantly lower risk for iron overload. The second most common mutation in the HFE gene, H63D, is associated with a milder phenotype. Those with compound heterozygosity for C282Y/H63D or homozygosity for H63D typically experience either mild or no detectable symptoms.1,3
There can be mutations in other genes involved in iron metabolism, but these represent more rare forms of hemochromatosis. Conditions such as thalassemia, sideroblastic anemia, porphyria cutanea tarda, and chronic liver disease may also be associated with iron overload.1,3
HH is most common in white populations of northern European descent. Multiple factors—including dietary iron intake, alcohol consumption, blood donation, blood loss associated with menstruation, and pregnancy—affect the expression of clinical features of hemochromatosis. Men are 24 times more likely than women to express clinical features of hemochromatosis.2 Approximately 70% of affected patients develop symptoms between ages 40 and 60.1
CLINICAL MANIFESTATIONS
The liver is typically the first organ affected, and hepatomegaly is present in 95% of symptomatic patients, even in the presence of normal transaminase levels.1 A bronzed, metallic, or slate gray skin coloration can occur due to increased iron deposition in the dermis. Arthralgias in the hands, wrists, hips, knees, and ankles are present in up to 50% of patients with hemochromatosis. Cardiac manifestations include restrictive cardiomyopathy, congestive heart failure, and arrhythmias.1
Iron deposition in the beta cells of the pancreas causes diabetes1 and in the pituitary causes hypogonadotropic hypogonadism in both men and women, resulting in decreased libido, amenorrhea, testicular atrophy, gynecomastia, and reduced body hair. Primary testicular dysfunction may occur due to iron deposition in the testicles.1,4 In the thyroid gland, iron deposition can lead to abnormal function. Secondary hypothyroidism is rare in the setting of iron overload, although iron deposition occasionally occurs in pituitary thyrotrophs (usually only to a mild degree). Adrenal insufficiency and hypoparathyroidism may also result from iron overload.5
CLINICAL STUDIES TO ASSESS IRON STORES
When assessing tissue iron stores, it is important to measure the serum iron level, total iron-binding capacity, and ferritin in the fasting state.2 This information can be used to calculate the percent transferrin saturation. If the serum ferritin is elevated (> 300 ng/mL in men and > 200 ng/mL in women) and/or the transferrin saturation is greater than 45%, referral to hematology or hepatology is recommended, along with genetic testing for hemochromatosis.1,2
Once the diagnosis of hemochromatosis has been confirmed, CT or MRI can be used to assess for increased density of the liver.1 Liver biopsy can determine the degree of fibrosis and is often considered in patients with more extreme elevations of serum ferritin levels and/or hepatomegaly. Liver biopsy is the only reliable method for determining whether hepatic cirrhosis, which increases risk for hepatocellular carcinoma, is present.1
TREATMENT
All patients with homozygous HH and evidence of iron overload require treatment, regardless of symptoms. Phlebotomy is the standard of care, due to its low cost and relative safety. Chelating agents are a second-line option when contraindications to phlebotomy (eg, anemia) exist.1,2
Alcohol consumption, especially in the presence of iron overload or liver disease, should be avoided, as it can increase risk for cirrhosis by nearly tenfold.1 Dietary modification is typically unnecessary, aside from the avoidance of iron and vitamin C supplementation.2 Patients should also eliminate raw shellfish from their diet, as they may carry bacteria that can cause potentially fatal infection (since high iron levels impair hepcidin bactericidal activity).2
The management of hepatic failure, cardiac failure, and diabetes in patients with HH is similar to conventional management of these conditions.1 With phlebotomy, the liver and spleen often decrease in size, liver function improves, skin pigmentation lightens, cardiac failure may be reversed, and diabetes control often improves.1,2 Testosterone levels may normalize after phlebotomy, especially if HH is diagnosed in the early stages. In more advanced cases, testosterone replacement therapy in combination with aggressive phlebotomy may be necessary.4
CONCLUSION
A high index of suspicion is required to diagnose hemochromatosis early. HH should be considered in the differential diagnosis for patients with hypogonadotropic hypogonadism, abnormal iron studies, elevated transaminase levels, and a family history of hemochromatosis.
Once the diagnosis is established, all first-degree relatives should be screened.1 Early therapy is crucial to prevent complications from iron overload.
REFERENCES
1. Powell LW. Hemochromatosis. In: Fauci AS, Braunwald E, Kasper DL, et al (eds). Harrison’s Principles of Internal Medicine. 17th ed. New York, NY: McGraw-Hill; 2008:2429-2433.
2. Crownover BK, Carlton JC. Hereditary hemochromatosis. Am Fam Phys. 2013;87(3):183-190.
3. Camaschella C. Understanding iron homeostasis through genetic analysis of hemochromatosis and related disorders. Blood. 2005;106(12):3710-3717.
4. McDermott JH, Walsh CH. Hypogonadism in hereditary hemochromatosis. J Clin Endocrinol Metab. 2005;90(4):2451-2455.
5. Hudec M, Grigerova M, Walsh CH. Secondary hypothyroidism in hereditary hemochromatosis: recovery after iron depletion. Thyroid. 2008;18(2):255-257.
JR, a 34-year-old Caucasian man, was in his normal state of good health until several months ago, when he developed fatigue, low libido, and insomnia. He reports normal erectile function, adding that he fathered a child at age 24. His medical history and remaining review of systems are negative. Physical exam is unremarkable. His BMI is 23.
Labwork reveals low free and total testosterone levels with low FSH and LH levels. Thyroid-stimulating hormone, free T4, and prolactin levels are within normal range, comprehensive metabolic panel is unremarkable, and pituitary MRI is negative. The complete blood count reveals slightly elevated hemoglobin and hematocrit, prompting ordering of iron studies that reveal elevated ferritin and serum iron levels and elevated percent transferrin saturation. Lab values are shown in the table.
Based on his elevated ferritin and transferrin saturation levels, JR undergoes genetic testing for hereditary hemochromatosis (HH) with C282Y and H63D mutation analysis. He is found to have the homozygous C282Y genotype (C282Y/C282Y) for HH.
JR establishes care with a hematologist and is advised to receive therapeutic phlebotomy until his ferritin level is between 10 and 50 ng/mL. An abdominal ultrasound, ordered to screen for hepatomegaly, yields normal results. JR elects not to receive testosterone replacement therapy.
Three months later, labwork reveals a free testosterone level of 120 pg/mL with normal hemoglobin and hematocrit levels, normal transaminases, a ferritin level of 28 ng/mL, and a percent transferrin saturation of 31%. Additional values are shown in the table.
BACKGROUND AND GENETICS
Hereditary hemochromatosis is an autosomal recessive iron storage disorder in which intestinal iron absorption is markedly increased. This results in iron overload and excessive iron deposition in numerous tissues, glands, and organs.1
In patients with HH, a genetic defect causes abnormal expression of the HFE protein that regulates hepcidin production. Hepcidin is an iron regulatory hormone, secreted by hepatocytes, that decreases intestinal iron absorption in response to excess iron.2 Ninety percent of individuals affected by HH are homozygous for mutation at amino acid position 282 on the HFE gene, which causes an inappropriate decrease in hepcidin expression in response to elevated iron levels.2,3 Only 10% of individuals homozygous for the C282Y mutation actually develop clinically apparent end-organ damage.2
Being a carrier (heterozygous) for the C282Y mutation confers significantly lower risk for iron overload. The second most common mutation in the HFE gene, H63D, is associated with a milder phenotype. Those with compound heterozygosity for C282Y/H63D or homozygosity for H63D typically experience either mild or no detectable symptoms.1,3
There can be mutations in other genes involved in iron metabolism, but these represent more rare forms of hemochromatosis. Conditions such as thalassemia, sideroblastic anemia, porphyria cutanea tarda, and chronic liver disease may also be associated with iron overload.1,3
HH is most common in white populations of northern European descent. Multiple factors—including dietary iron intake, alcohol consumption, blood donation, blood loss associated with menstruation, and pregnancy—affect the expression of clinical features of hemochromatosis. Men are 24 times more likely than women to express clinical features of hemochromatosis.2 Approximately 70% of affected patients develop symptoms between ages 40 and 60.1
CLINICAL MANIFESTATIONS
The liver is typically the first organ affected, and hepatomegaly is present in 95% of symptomatic patients, even in the presence of normal transaminase levels.1 A bronzed, metallic, or slate gray skin coloration can occur due to increased iron deposition in the dermis. Arthralgias in the hands, wrists, hips, knees, and ankles are present in up to 50% of patients with hemochromatosis. Cardiac manifestations include restrictive cardiomyopathy, congestive heart failure, and arrhythmias.1
Iron deposition in the beta cells of the pancreas causes diabetes1 and in the pituitary causes hypogonadotropic hypogonadism in both men and women, resulting in decreased libido, amenorrhea, testicular atrophy, gynecomastia, and reduced body hair. Primary testicular dysfunction may occur due to iron deposition in the testicles.1,4 In the thyroid gland, iron deposition can lead to abnormal function. Secondary hypothyroidism is rare in the setting of iron overload, although iron deposition occasionally occurs in pituitary thyrotrophs (usually only to a mild degree). Adrenal insufficiency and hypoparathyroidism may also result from iron overload.5
CLINICAL STUDIES TO ASSESS IRON STORES
When assessing tissue iron stores, it is important to measure the serum iron level, total iron-binding capacity, and ferritin in the fasting state.2 This information can be used to calculate the percent transferrin saturation. If the serum ferritin is elevated (> 300 ng/mL in men and > 200 ng/mL in women) and/or the transferrin saturation is greater than 45%, referral to hematology or hepatology is recommended, along with genetic testing for hemochromatosis.1,2
Once the diagnosis of hemochromatosis has been confirmed, CT or MRI can be used to assess for increased density of the liver.1 Liver biopsy can determine the degree of fibrosis and is often considered in patients with more extreme elevations of serum ferritin levels and/or hepatomegaly. Liver biopsy is the only reliable method for determining whether hepatic cirrhosis, which increases risk for hepatocellular carcinoma, is present.1
TREATMENT
All patients with homozygous HH and evidence of iron overload require treatment, regardless of symptoms. Phlebotomy is the standard of care, due to its low cost and relative safety. Chelating agents are a second-line option when contraindications to phlebotomy (eg, anemia) exist.1,2
Alcohol consumption, especially in the presence of iron overload or liver disease, should be avoided, as it can increase risk for cirrhosis by nearly tenfold.1 Dietary modification is typically unnecessary, aside from the avoidance of iron and vitamin C supplementation.2 Patients should also eliminate raw shellfish from their diet, as they may carry bacteria that can cause potentially fatal infection (since high iron levels impair hepcidin bactericidal activity).2
The management of hepatic failure, cardiac failure, and diabetes in patients with HH is similar to conventional management of these conditions.1 With phlebotomy, the liver and spleen often decrease in size, liver function improves, skin pigmentation lightens, cardiac failure may be reversed, and diabetes control often improves.1,2 Testosterone levels may normalize after phlebotomy, especially if HH is diagnosed in the early stages. In more advanced cases, testosterone replacement therapy in combination with aggressive phlebotomy may be necessary.4
CONCLUSION
A high index of suspicion is required to diagnose hemochromatosis early. HH should be considered in the differential diagnosis for patients with hypogonadotropic hypogonadism, abnormal iron studies, elevated transaminase levels, and a family history of hemochromatosis.
Once the diagnosis is established, all first-degree relatives should be screened.1 Early therapy is crucial to prevent complications from iron overload.
REFERENCES
1. Powell LW. Hemochromatosis. In: Fauci AS, Braunwald E, Kasper DL, et al (eds). Harrison’s Principles of Internal Medicine. 17th ed. New York, NY: McGraw-Hill; 2008:2429-2433.
2. Crownover BK, Carlton JC. Hereditary hemochromatosis. Am Fam Phys. 2013;87(3):183-190.
3. Camaschella C. Understanding iron homeostasis through genetic analysis of hemochromatosis and related disorders. Blood. 2005;106(12):3710-3717.
4. McDermott JH, Walsh CH. Hypogonadism in hereditary hemochromatosis. J Clin Endocrinol Metab. 2005;90(4):2451-2455.
5. Hudec M, Grigerova M, Walsh CH. Secondary hypothyroidism in hereditary hemochromatosis: recovery after iron depletion. Thyroid. 2008;18(2):255-257.
Growing Lesion Impedes Finger Flexion
ANSWER
The correct answer is implantation cyst (choice “b”). This type of cyst is typically caused by trauma (eg, a puncture wound), and its contents are in stark contrast to those of ganglion cysts (choice “a”), which are thick and clear.
Warts (choice “c”) are essentially an epidermal process, not subcutaneous. They almost always disrupt normal skin lines, which often curve around the wart—a finding that was missing in this case.
Acquired digital fibrokeratomas (choice “d”) are benign solid tumors frequently seen on fingers. However, they are more epidermal than intradermal and demonstrate a diagnostic feature called an epidermal collarette (missing in this case).
DISCUSSION
Sometimes called implantation dermoid cysts, these sacs have a well-defined white cyst wall and cheesy, often odoriferous contents. Although common on hands and fingers, they can occur in almost any location and as a result of many types of trauma.
This includes surgical trauma, which effectively implants surface adnexal tissue (eg, the sebaceous apparatus) where it can continue to produce and accumulate its cheesy contents over time. Patients often forget the trauma that caused the cyst, but it is still worth inquiring into.
Merely emptying the sac can confirm the diagnosis; however, this almost always results in recurrence. Fortunately, implantation cysts are usually easily removed with minimal risk to hand function.
As with almost any tissue removed from the body, the specimen needs to be sent for pathologic examination. In addition to the differential items already noted, a number of rare or unusual conditions can present in a similar fashion, including eccrine carcinoma and a variety of sarcomas.
This patient recovered from his surgery without complication. Pathologic examination confirmed the benign nature of the lesion.
ANSWER
The correct answer is implantation cyst (choice “b”). This type of cyst is typically caused by trauma (eg, a puncture wound), and its contents are in stark contrast to those of ganglion cysts (choice “a”), which are thick and clear.
Warts (choice “c”) are essentially an epidermal process, not subcutaneous. They almost always disrupt normal skin lines, which often curve around the wart—a finding that was missing in this case.
Acquired digital fibrokeratomas (choice “d”) are benign solid tumors frequently seen on fingers. However, they are more epidermal than intradermal and demonstrate a diagnostic feature called an epidermal collarette (missing in this case).
DISCUSSION
Sometimes called implantation dermoid cysts, these sacs have a well-defined white cyst wall and cheesy, often odoriferous contents. Although common on hands and fingers, they can occur in almost any location and as a result of many types of trauma.
This includes surgical trauma, which effectively implants surface adnexal tissue (eg, the sebaceous apparatus) where it can continue to produce and accumulate its cheesy contents over time. Patients often forget the trauma that caused the cyst, but it is still worth inquiring into.
Merely emptying the sac can confirm the diagnosis; however, this almost always results in recurrence. Fortunately, implantation cysts are usually easily removed with minimal risk to hand function.
As with almost any tissue removed from the body, the specimen needs to be sent for pathologic examination. In addition to the differential items already noted, a number of rare or unusual conditions can present in a similar fashion, including eccrine carcinoma and a variety of sarcomas.
This patient recovered from his surgery without complication. Pathologic examination confirmed the benign nature of the lesion.
ANSWER
The correct answer is implantation cyst (choice “b”). This type of cyst is typically caused by trauma (eg, a puncture wound), and its contents are in stark contrast to those of ganglion cysts (choice “a”), which are thick and clear.
Warts (choice “c”) are essentially an epidermal process, not subcutaneous. They almost always disrupt normal skin lines, which often curve around the wart—a finding that was missing in this case.
Acquired digital fibrokeratomas (choice “d”) are benign solid tumors frequently seen on fingers. However, they are more epidermal than intradermal and demonstrate a diagnostic feature called an epidermal collarette (missing in this case).
DISCUSSION
Sometimes called implantation dermoid cysts, these sacs have a well-defined white cyst wall and cheesy, often odoriferous contents. Although common on hands and fingers, they can occur in almost any location and as a result of many types of trauma.
This includes surgical trauma, which effectively implants surface adnexal tissue (eg, the sebaceous apparatus) where it can continue to produce and accumulate its cheesy contents over time. Patients often forget the trauma that caused the cyst, but it is still worth inquiring into.
Merely emptying the sac can confirm the diagnosis; however, this almost always results in recurrence. Fortunately, implantation cysts are usually easily removed with minimal risk to hand function.
As with almost any tissue removed from the body, the specimen needs to be sent for pathologic examination. In addition to the differential items already noted, a number of rare or unusual conditions can present in a similar fashion, including eccrine carcinoma and a variety of sarcomas.
This patient recovered from his surgery without complication. Pathologic examination confirmed the benign nature of the lesion.
For several years, a 45-year-old man has had an asymptomatic lesion on the volar aspect of his fourth finger. The lesion is growing and increasingly “in the way.” That, coupled with the patient’s concern about cancer or other serious disease, leads him to request referral to dermatology. There is no history of similar lesions anywhere on his body. Additional questioning reveals that several months prior to the lesion’s manifestation, the patient sustained a puncture wound to the same finger. Initially, the affected area was only a millimeter or two in size. X-rays ordered by his primary care provider did not indicate any bony abnormality, nor did they shed any light on the lesion itself. An impressive 2.6 cm in diameter, the lesion is prominent in vertical elevation as well. Motor and sensory function are found to be intact, although the bulk of the lesion prohibits full flexion of the finger. The lesion is opaque to attempted transillumination. No surface changes are apparent in the overlying skin. Skin lines are intact and parallel. The lesion is quite firm but compressible. The decision is made to excise the lesion, employing a digital block and tourniquet. A football-shaped ellipse of skin with 50° angles on the ends is removed from the surface, revealing a glistening white, smooth mass that comes out intact, with very little blunt dissection. Motor function is again assessed and found to be intact. The large angles in the ends of the ellipse allow the wound edges to be pulled together with interrupted vertical mattress sutures and no leftover redundant skin. The lesion is submitted intact for pathologic examination.
Neck Pain With No Palpable Tenderness
ANSWER
The image shows an acute fracture at the base of the odontoid with evidence of posterior displacement of the fracture fragment. Such fractures are typically unstable.
In addition, there is evidence of a fracture and subluxation at the C4/C5 level. However, given the degree of sclerosis and chronic changes present, this finding is likely an old one.
The patient was maintained in a collar on bedrest. Subsequently, he underwent odontoid pinning to stabilize the fractures.
ANSWER
The image shows an acute fracture at the base of the odontoid with evidence of posterior displacement of the fracture fragment. Such fractures are typically unstable.
In addition, there is evidence of a fracture and subluxation at the C4/C5 level. However, given the degree of sclerosis and chronic changes present, this finding is likely an old one.
The patient was maintained in a collar on bedrest. Subsequently, he underwent odontoid pinning to stabilize the fractures.
ANSWER
The image shows an acute fracture at the base of the odontoid with evidence of posterior displacement of the fracture fragment. Such fractures are typically unstable.
In addition, there is evidence of a fracture and subluxation at the C4/C5 level. However, given the degree of sclerosis and chronic changes present, this finding is likely an old one.
The patient was maintained in a collar on bedrest. Subsequently, he underwent odontoid pinning to stabilize the fractures.

A 65-year-old man presents with neck pain following a fall. Earlier this evening, he says, he fell off his porch (approximately four feet in height) and hit the top/front of his head on the ground. He denies any loss of consciousness, adding that he only came in for evaluation at the urging of his family. The patient denies any extremity weakness or paresthesias. He also denies any significant medical history, although his sister, who has accompanied him, states that he drinks alcohol “regularly and heavily.” Physical examination reveals a man who appears much older than his stated age and is uncomfortable, but not in obvious distress. His vital signs are normal. He is currently wearing a hard cervical collar. There is no palpable tenderness posteriorly along his cervical spine. He is able to move all of his extremities well. His strength is good, and his sensation is intact. A lateral radiograph of the patient’s cervical spine is shown. What is your impression?