2011 Resident Work Hour Reforms Had No Effect on Mortality or Readmissions

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2011 Resident Work Hour Reforms Had No Effect on Mortality or Readmissions

Clinical question

Did the 2011 Accreditation Council for Graduate Medical Education resident work hour reforms affect patient outcomes?

Bottom line

Resident work hour reforms were proposed by the Accreditation Council for Graduate Medical Education (ACGME) to reduce resident fatigue (and thus potentially reduce the risk of medical errors), but implementation of the work hour changes also led to concerns over patient safety because of increased handoffs in care. This study shows that work hour reforms had no impact, either positive or negative, on the important patient outcomes of mortality and readmission rates. Other outcomes such as length of stay and number of intensive care unit transfers may need to be examined in future studies to detect more subtle differences. (LOE = 2b)

Reference

Patel MS, Volpp KG, Small DS, et al. Association of the 2011 ACGME resident duty hour reforms with mortality and readmissions among hospitalized Medicare patients. JAMA 2014;312(22):2364-2373.

Study design: Cohort (retrospective)

Funding source: Government

Allocation: Uncertain

Setting: Inpatient (any location)

Synopsis

In 2011, the ACGME instituted work hour reforms for residents that reduced the work hour limit from 30 consecutive hours to 16 hours for first-year residents and 24 hours for all other residents. Investigators in this study evaluated the effect of the 2011 ACGME reforms on 30-day all-location mortality and 30-day all-cause readmissions. Patients included in the study were Medicare patients who were admitted to acute care US hospitals from 2009 to 2012 with acute myocardial infarction, stroke, gastrointestinal bleeding, or congestive heart failure, or those admitted for general, orthopedic, or vascular surgery. Hospitals were classified by their level of teaching intensity using a resident-to-bed ratio defined as the number of residents divided by the number of staffed beds.

In an analysis that adjusted for demographics, co-morbidities, and the presence of surgical complications, the implementation of work hour reforms did not affect 30-day mortality or readmissions in more-intensive teaching hospitals relative to less-intensive teaching hospitals during the postreform year as compared with 2 years before the reform. Multiple factors beyond the implementation of work hour reforms, may have contributed to this lack of effect. First, adherence to the new reforms by residency programs in the first year is unclear. Second, concurrent initiatives to improve patient outcomes during this time may have affected all hospitals, teaching and nonteaching. Finally, the authors suggest that the greater emphasis on resident supervision with the new reforms may have counterbalanced any negative effects of increased resident handoffs.

Dr. Kulkarni is an assistant professor of hospital medicine at Northwestern University in Chicago.

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Clinical question

Did the 2011 Accreditation Council for Graduate Medical Education resident work hour reforms affect patient outcomes?

Bottom line

Resident work hour reforms were proposed by the Accreditation Council for Graduate Medical Education (ACGME) to reduce resident fatigue (and thus potentially reduce the risk of medical errors), but implementation of the work hour changes also led to concerns over patient safety because of increased handoffs in care. This study shows that work hour reforms had no impact, either positive or negative, on the important patient outcomes of mortality and readmission rates. Other outcomes such as length of stay and number of intensive care unit transfers may need to be examined in future studies to detect more subtle differences. (LOE = 2b)

Reference

Patel MS, Volpp KG, Small DS, et al. Association of the 2011 ACGME resident duty hour reforms with mortality and readmissions among hospitalized Medicare patients. JAMA 2014;312(22):2364-2373.

Study design: Cohort (retrospective)

Funding source: Government

Allocation: Uncertain

Setting: Inpatient (any location)

Synopsis

In 2011, the ACGME instituted work hour reforms for residents that reduced the work hour limit from 30 consecutive hours to 16 hours for first-year residents and 24 hours for all other residents. Investigators in this study evaluated the effect of the 2011 ACGME reforms on 30-day all-location mortality and 30-day all-cause readmissions. Patients included in the study were Medicare patients who were admitted to acute care US hospitals from 2009 to 2012 with acute myocardial infarction, stroke, gastrointestinal bleeding, or congestive heart failure, or those admitted for general, orthopedic, or vascular surgery. Hospitals were classified by their level of teaching intensity using a resident-to-bed ratio defined as the number of residents divided by the number of staffed beds.

In an analysis that adjusted for demographics, co-morbidities, and the presence of surgical complications, the implementation of work hour reforms did not affect 30-day mortality or readmissions in more-intensive teaching hospitals relative to less-intensive teaching hospitals during the postreform year as compared with 2 years before the reform. Multiple factors beyond the implementation of work hour reforms, may have contributed to this lack of effect. First, adherence to the new reforms by residency programs in the first year is unclear. Second, concurrent initiatives to improve patient outcomes during this time may have affected all hospitals, teaching and nonteaching. Finally, the authors suggest that the greater emphasis on resident supervision with the new reforms may have counterbalanced any negative effects of increased resident handoffs.

Dr. Kulkarni is an assistant professor of hospital medicine at Northwestern University in Chicago.

Clinical question

Did the 2011 Accreditation Council for Graduate Medical Education resident work hour reforms affect patient outcomes?

Bottom line

Resident work hour reforms were proposed by the Accreditation Council for Graduate Medical Education (ACGME) to reduce resident fatigue (and thus potentially reduce the risk of medical errors), but implementation of the work hour changes also led to concerns over patient safety because of increased handoffs in care. This study shows that work hour reforms had no impact, either positive or negative, on the important patient outcomes of mortality and readmission rates. Other outcomes such as length of stay and number of intensive care unit transfers may need to be examined in future studies to detect more subtle differences. (LOE = 2b)

Reference

Patel MS, Volpp KG, Small DS, et al. Association of the 2011 ACGME resident duty hour reforms with mortality and readmissions among hospitalized Medicare patients. JAMA 2014;312(22):2364-2373.

Study design: Cohort (retrospective)

Funding source: Government

Allocation: Uncertain

Setting: Inpatient (any location)

Synopsis

In 2011, the ACGME instituted work hour reforms for residents that reduced the work hour limit from 30 consecutive hours to 16 hours for first-year residents and 24 hours for all other residents. Investigators in this study evaluated the effect of the 2011 ACGME reforms on 30-day all-location mortality and 30-day all-cause readmissions. Patients included in the study were Medicare patients who were admitted to acute care US hospitals from 2009 to 2012 with acute myocardial infarction, stroke, gastrointestinal bleeding, or congestive heart failure, or those admitted for general, orthopedic, or vascular surgery. Hospitals were classified by their level of teaching intensity using a resident-to-bed ratio defined as the number of residents divided by the number of staffed beds.

In an analysis that adjusted for demographics, co-morbidities, and the presence of surgical complications, the implementation of work hour reforms did not affect 30-day mortality or readmissions in more-intensive teaching hospitals relative to less-intensive teaching hospitals during the postreform year as compared with 2 years before the reform. Multiple factors beyond the implementation of work hour reforms, may have contributed to this lack of effect. First, adherence to the new reforms by residency programs in the first year is unclear. Second, concurrent initiatives to improve patient outcomes during this time may have affected all hospitals, teaching and nonteaching. Finally, the authors suggest that the greater emphasis on resident supervision with the new reforms may have counterbalanced any negative effects of increased resident handoffs.

Dr. Kulkarni is an assistant professor of hospital medicine at Northwestern University in Chicago.

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2011 Resident Work Hour Reforms Had No Effect on Mortality or Readmissions
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Chlorhexidine Bathing Does Not Reduce Nosocomial Infections

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Chlorhexidine Bathing Does Not Reduce Nosocomial Infections

Clinical question: For critically ill patients, does daily bathing with chlorhexidine reduce health care–associated infections?

Bottom line

These results show that daily chlorhexidine bathing does not significantly affect the incidence of health care–associated infections. These data conflict with data from prior research, suggesting that more investigation is needed before incorporating chlorhexidine bathing into routine practice, especially given the increased cost with its use and the possibility of the development of chlorhexidine resistance. (LOE = 1b)

Reference: Noto MJ, Domenico HJ, Byrne DW, et al. Chlorhexidine bathing and health care-associated infections. JAMA 2015;313(4):369-378.

Study design: Cross-over trial (randomized)

Funding source: Government

Allocation: Concealed

Setting: Inpatient (ICU only)

Synopsis

Previous studies have shown benefit of daily chlorhexidine bathing in patients at high risk of nosocomial blood stream infections (Daily POEM 7-31-2013; Daily POEM 4-26-2013). In this study, investigators randomized 5 intensive care units at a tertiary care hospital to provide daily bathing of all patients with either 2% chlorhexidine-impregnated cloths or with nonantimicrobial cloths. Each unit followed the assigned protocol for 10 weeks, followed by a 2-week washout period, and then crossed over to the alternate protocol for another 10 weeks. All units crossed over 3 times during the study. Almost 10,000 patients were included in the study. The primary outcome was a composite of health-care associated infections, including central-line associated bloodstream infections, catheter-associated urinary tract infections, ventilator-associated pneumonia, and Clostridium difficile infections. There was no significant difference detected in the rate of the primary outcome between the chlorhexidine group and the control group with approximately 3 infections per 1000 patient-days in both groups. Adjusting for factors including demographics, co-morbidities, and the unit of admission also did not reveal a difference.

Dr. Kulkarni is an assistant professor of hospital medicine at Northwestern University in Chicago.

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The Hospitalist - 2015(03)
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Clinical question: For critically ill patients, does daily bathing with chlorhexidine reduce health care–associated infections?

Bottom line

These results show that daily chlorhexidine bathing does not significantly affect the incidence of health care–associated infections. These data conflict with data from prior research, suggesting that more investigation is needed before incorporating chlorhexidine bathing into routine practice, especially given the increased cost with its use and the possibility of the development of chlorhexidine resistance. (LOE = 1b)

Reference: Noto MJ, Domenico HJ, Byrne DW, et al. Chlorhexidine bathing and health care-associated infections. JAMA 2015;313(4):369-378.

Study design: Cross-over trial (randomized)

Funding source: Government

Allocation: Concealed

Setting: Inpatient (ICU only)

Synopsis

Previous studies have shown benefit of daily chlorhexidine bathing in patients at high risk of nosocomial blood stream infections (Daily POEM 7-31-2013; Daily POEM 4-26-2013). In this study, investigators randomized 5 intensive care units at a tertiary care hospital to provide daily bathing of all patients with either 2% chlorhexidine-impregnated cloths or with nonantimicrobial cloths. Each unit followed the assigned protocol for 10 weeks, followed by a 2-week washout period, and then crossed over to the alternate protocol for another 10 weeks. All units crossed over 3 times during the study. Almost 10,000 patients were included in the study. The primary outcome was a composite of health-care associated infections, including central-line associated bloodstream infections, catheter-associated urinary tract infections, ventilator-associated pneumonia, and Clostridium difficile infections. There was no significant difference detected in the rate of the primary outcome between the chlorhexidine group and the control group with approximately 3 infections per 1000 patient-days in both groups. Adjusting for factors including demographics, co-morbidities, and the unit of admission also did not reveal a difference.

Dr. Kulkarni is an assistant professor of hospital medicine at Northwestern University in Chicago.

Clinical question: For critically ill patients, does daily bathing with chlorhexidine reduce health care–associated infections?

Bottom line

These results show that daily chlorhexidine bathing does not significantly affect the incidence of health care–associated infections. These data conflict with data from prior research, suggesting that more investigation is needed before incorporating chlorhexidine bathing into routine practice, especially given the increased cost with its use and the possibility of the development of chlorhexidine resistance. (LOE = 1b)

Reference: Noto MJ, Domenico HJ, Byrne DW, et al. Chlorhexidine bathing and health care-associated infections. JAMA 2015;313(4):369-378.

Study design: Cross-over trial (randomized)

Funding source: Government

Allocation: Concealed

Setting: Inpatient (ICU only)

Synopsis

Previous studies have shown benefit of daily chlorhexidine bathing in patients at high risk of nosocomial blood stream infections (Daily POEM 7-31-2013; Daily POEM 4-26-2013). In this study, investigators randomized 5 intensive care units at a tertiary care hospital to provide daily bathing of all patients with either 2% chlorhexidine-impregnated cloths or with nonantimicrobial cloths. Each unit followed the assigned protocol for 10 weeks, followed by a 2-week washout period, and then crossed over to the alternate protocol for another 10 weeks. All units crossed over 3 times during the study. Almost 10,000 patients were included in the study. The primary outcome was a composite of health-care associated infections, including central-line associated bloodstream infections, catheter-associated urinary tract infections, ventilator-associated pneumonia, and Clostridium difficile infections. There was no significant difference detected in the rate of the primary outcome between the chlorhexidine group and the control group with approximately 3 infections per 1000 patient-days in both groups. Adjusting for factors including demographics, co-morbidities, and the unit of admission also did not reveal a difference.

Dr. Kulkarni is an assistant professor of hospital medicine at Northwestern University in Chicago.

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Aggressive infant leukemia has few mutations

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Aggressive infant leukemia has few mutations

Sleeping infant

Photo by Vera Kratochvil

Infants who have acute lymphoblastic leukemia (ALL) with MLL rearrangements have few other mutations, according to new research.

The findings suggest that targeting MLL rearrangements in these patients is likely the key to improving their survival.

“We frequently associate a cancer’s aggressiveness with its mutation rate, but this work indicates that the two don’t always go hand-in-hand,” said Richard K. Wilson, PhD, of the Washington University School of Medicine in St Louis, Missouri.

“Still, our findings provide a new direction for developing more effective treatments for these very young patients.”

Dr Wilson and his colleagues reported their findings in Nature Genetics.

The researchers performed whole-genome, exome, RNA, and targeted DNA sequencing to identify genetic alterations in 65 infants with ALL, including 47 with the MLL rearrangement.

The team was surprised to find that, despite being an aggressive leukemia, the MLL-rearranged subtype had among the lowest mutation rates reported for any cancer. The predominant leukemic clone carried a mean of 1.3 non-silent mutations.

“These results show that, to improve survival for patients with this aggressive leukemia, we need to develop drugs that target the abnormal proteins produced by the MLL fusion gene or that interact with the abnormal MLL fusion protein to shut down the cellular machinery that drives their tumors,” said James R. Downing, MD, of St Jude Research Hospital in Memphis, Tennessee. “That will not be easy, but this study found no obvious cooperating mutations to target.”

Almost half of infants with MLL-rearranged ALL (47%) had activating mutations in the kinase-PI3K-RAS signaling pathway. But the mutations were often present in only some of the leukemic cells.

Furthermore, the researchers analyzed leukemia cells in infants whose cancer returned after treatment and found that, at the time of relapse, the cells lacked these mutations.

“The fact that the mutations were often lost at relapse suggests that patients are unlikely to benefit from therapeutically targeting these mutations at diagnosis,” Dr Downing said.

The researchers also found that older children with MLL-rearranged leukemia had significantly more mutations than infants—a mean of 6.5 mutations per case (P=7.15 × 10−5).

Furthermore, 45% of the older children had mutations in genes that encode epigenetic regulatory proteins. And, aside from MLL, epigenetic regulators were rarely mutated in infants with MLL-rearranged ALL.

“While MLL belongs to a family of genes that encode epigenetic regulatory proteins, there was a striking difference between infants and older children regarding the frequency of mutations in other epigenetic regulatory genes,” said Anna Andersson, PhD, of Lund University in Sweden.

“This observation raises the possibility of a fundamental difference in the cell targeted for transformation in infants versus older patients,” said Tanja Gruber, MD, PhD, of St Jude.

“Our working hypothesis is that, in infants, the MLL rearrangement occurs in a developing blood cell, a prenatal progenitor cell, which requires fewer additional mutations to fully transform into leukemia. In contrast, in older patients, the MLL rearrangement isn’t enough on its own.”

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Sleeping infant

Photo by Vera Kratochvil

Infants who have acute lymphoblastic leukemia (ALL) with MLL rearrangements have few other mutations, according to new research.

The findings suggest that targeting MLL rearrangements in these patients is likely the key to improving their survival.

“We frequently associate a cancer’s aggressiveness with its mutation rate, but this work indicates that the two don’t always go hand-in-hand,” said Richard K. Wilson, PhD, of the Washington University School of Medicine in St Louis, Missouri.

“Still, our findings provide a new direction for developing more effective treatments for these very young patients.”

Dr Wilson and his colleagues reported their findings in Nature Genetics.

The researchers performed whole-genome, exome, RNA, and targeted DNA sequencing to identify genetic alterations in 65 infants with ALL, including 47 with the MLL rearrangement.

The team was surprised to find that, despite being an aggressive leukemia, the MLL-rearranged subtype had among the lowest mutation rates reported for any cancer. The predominant leukemic clone carried a mean of 1.3 non-silent mutations.

“These results show that, to improve survival for patients with this aggressive leukemia, we need to develop drugs that target the abnormal proteins produced by the MLL fusion gene or that interact with the abnormal MLL fusion protein to shut down the cellular machinery that drives their tumors,” said James R. Downing, MD, of St Jude Research Hospital in Memphis, Tennessee. “That will not be easy, but this study found no obvious cooperating mutations to target.”

Almost half of infants with MLL-rearranged ALL (47%) had activating mutations in the kinase-PI3K-RAS signaling pathway. But the mutations were often present in only some of the leukemic cells.

Furthermore, the researchers analyzed leukemia cells in infants whose cancer returned after treatment and found that, at the time of relapse, the cells lacked these mutations.

“The fact that the mutations were often lost at relapse suggests that patients are unlikely to benefit from therapeutically targeting these mutations at diagnosis,” Dr Downing said.

The researchers also found that older children with MLL-rearranged leukemia had significantly more mutations than infants—a mean of 6.5 mutations per case (P=7.15 × 10−5).

Furthermore, 45% of the older children had mutations in genes that encode epigenetic regulatory proteins. And, aside from MLL, epigenetic regulators were rarely mutated in infants with MLL-rearranged ALL.

“While MLL belongs to a family of genes that encode epigenetic regulatory proteins, there was a striking difference between infants and older children regarding the frequency of mutations in other epigenetic regulatory genes,” said Anna Andersson, PhD, of Lund University in Sweden.

“This observation raises the possibility of a fundamental difference in the cell targeted for transformation in infants versus older patients,” said Tanja Gruber, MD, PhD, of St Jude.

“Our working hypothesis is that, in infants, the MLL rearrangement occurs in a developing blood cell, a prenatal progenitor cell, which requires fewer additional mutations to fully transform into leukemia. In contrast, in older patients, the MLL rearrangement isn’t enough on its own.”

Sleeping infant

Photo by Vera Kratochvil

Infants who have acute lymphoblastic leukemia (ALL) with MLL rearrangements have few other mutations, according to new research.

The findings suggest that targeting MLL rearrangements in these patients is likely the key to improving their survival.

“We frequently associate a cancer’s aggressiveness with its mutation rate, but this work indicates that the two don’t always go hand-in-hand,” said Richard K. Wilson, PhD, of the Washington University School of Medicine in St Louis, Missouri.

“Still, our findings provide a new direction for developing more effective treatments for these very young patients.”

Dr Wilson and his colleagues reported their findings in Nature Genetics.

The researchers performed whole-genome, exome, RNA, and targeted DNA sequencing to identify genetic alterations in 65 infants with ALL, including 47 with the MLL rearrangement.

The team was surprised to find that, despite being an aggressive leukemia, the MLL-rearranged subtype had among the lowest mutation rates reported for any cancer. The predominant leukemic clone carried a mean of 1.3 non-silent mutations.

“These results show that, to improve survival for patients with this aggressive leukemia, we need to develop drugs that target the abnormal proteins produced by the MLL fusion gene or that interact with the abnormal MLL fusion protein to shut down the cellular machinery that drives their tumors,” said James R. Downing, MD, of St Jude Research Hospital in Memphis, Tennessee. “That will not be easy, but this study found no obvious cooperating mutations to target.”

Almost half of infants with MLL-rearranged ALL (47%) had activating mutations in the kinase-PI3K-RAS signaling pathway. But the mutations were often present in only some of the leukemic cells.

Furthermore, the researchers analyzed leukemia cells in infants whose cancer returned after treatment and found that, at the time of relapse, the cells lacked these mutations.

“The fact that the mutations were often lost at relapse suggests that patients are unlikely to benefit from therapeutically targeting these mutations at diagnosis,” Dr Downing said.

The researchers also found that older children with MLL-rearranged leukemia had significantly more mutations than infants—a mean of 6.5 mutations per case (P=7.15 × 10−5).

Furthermore, 45% of the older children had mutations in genes that encode epigenetic regulatory proteins. And, aside from MLL, epigenetic regulators were rarely mutated in infants with MLL-rearranged ALL.

“While MLL belongs to a family of genes that encode epigenetic regulatory proteins, there was a striking difference between infants and older children regarding the frequency of mutations in other epigenetic regulatory genes,” said Anna Andersson, PhD, of Lund University in Sweden.

“This observation raises the possibility of a fundamental difference in the cell targeted for transformation in infants versus older patients,” said Tanja Gruber, MD, PhD, of St Jude.

“Our working hypothesis is that, in infants, the MLL rearrangement occurs in a developing blood cell, a prenatal progenitor cell, which requires fewer additional mutations to fully transform into leukemia. In contrast, in older patients, the MLL rearrangement isn’t enough on its own.”

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FDA approves first biosimilar product

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FDA approves first biosimilar product

The US Food and Drug Administration (FDA) has approved the leukocyte growth factor Zarxio (filgrastim-sndz), the first biosimilar product to be approved in the US.

A biosimilar product is approved based on data showing that it is highly similar to an already-approved biological product.

Sandoz Inc’s Zarxio is biosimilar to Amgen Inc’s Neupogen (filgrastim), which was originally licensed in 1991. Zarxio is now approved for the same indications as Neupogen.

Zarxio can be prescribed for:

  • patients with cancer receiving myelosuppressive chemotherapy
  • patients with acute myeloid leukemia receiving induction or consolidation chemotherapy
  • patients with cancer undergoing bone marrow transplant
  • patients undergoing autologous peripheral blood progenitor cell collection and therapy
  • patients with severe chronic neutropenia.

Zarxio is marketed as Zarzio outside the US. The biosimilar is available in more than 60 countries worldwide.

“Biosimilars will provide access to important therapies for patients who need them,” said FDA Commissioner Margaret A. Hamburg, MD.

“Patients and the healthcare community can be confident that biosimilar products approved by the FDA meet the agency’s rigorous safety, efficacy, and quality standards.”

Zarxio data

The FDA’s approval of Zarxio is based on a review of evidence that included structural and functional characterization, in vivo data, human pharmacokinetic and pharmacodynamics data, clinical immunogenicity data, and other clinical safety and effectiveness data that demonstrates Zarxio is biosimilar to Neupogen.

The PIONEER study was the final piece of data the FDA used to approve Zarxio as biosimilar to Neupogen. The data was sufficient to allow extrapolation of the use of Zarxio to all indications of Neupogen.

In the PIONEER study, Zarxio and Neupogen both produced the expected reduction in the duration of severe neutropenia in cancer patients undergoing myelosuppressive chemotherapy—1.17 and 1.20 days, respectively.

The mean time to absolute neutrophil count recovery in cycle 1 was also similar—1.8 ± 0.97 days in the Zarxio arm and 1.7 ± 0.81 days in the Neupogen arm. No immunogenicity or antibodies against rhG-CSF were detected throughout the study.

The most common side effects of Zarxio are aching in the bones or muscles and redness, swelling, or itching at the injection site. Serious side effects may include spleen rupture; serious allergic reactions that may cause rash, shortness of breath, wheezing and/or swelling around the mouth and eyes; fast pulse and sweating; and acute respiratory distress syndrome.

About biosimilar approval

The Biologics Price Competition and Innovation Act of 2009 (BPCI Act) was passed as part of the Affordable Care Act that President Barack Obama signed into law in March 2010. The BPCI Act created an abbreviated licensure pathway for biological products shown to be “biosimilar” to or “interchangeable” with an FDA-licensed biological product, known as the reference product.

This abbreviated licensure pathway under section 351(k) of the Public Health Service Act permits reliance on certain existing scientific knowledge about the safety and effectiveness of the reference product, and it enables a biosimilar biological product to be licensed based on less than a full complement of product-specific preclinical and clinical data.

A biosimilar product can only be approved by the FDA if it has the same mechanism(s) of action, route(s) of administration, dosage form(s) and strength(s) as the reference product, and only for the indication(s) and condition(s) of use that have been approved for the reference product. The facilities where biosimilars are manufactured must also meet the FDA’s standards.

There must be no clinically meaningful differences between the biosimilar and the reference product in terms of safety and effectiveness. Only minor differences in clinically inactive components are allowable.

Zarxio has been approved as a biosimilar, not an interchangeable product. Under the BPCI Act, a biological product that has been approved as “interchangeable” may be substituted for the reference product without the intervention of the healthcare provider who prescribed the reference product.

 

 

For Zarxio’s approval, the FDA has designated a placeholder nonproprietary name for this product as “filgrastim-sndz.” The provision of a placeholder nonproprietary name should not be viewed as reflective of the agency’s decision on a comprehensive naming policy for biosimilars and other biological products.

While the FDA has not yet issued draft guidance on how current and future biological products marketed in the US should be named, the agency intends to do so in the near future.

For more details on Zarxio, see the full prescribing information.

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The US Food and Drug Administration (FDA) has approved the leukocyte growth factor Zarxio (filgrastim-sndz), the first biosimilar product to be approved in the US.

A biosimilar product is approved based on data showing that it is highly similar to an already-approved biological product.

Sandoz Inc’s Zarxio is biosimilar to Amgen Inc’s Neupogen (filgrastim), which was originally licensed in 1991. Zarxio is now approved for the same indications as Neupogen.

Zarxio can be prescribed for:

  • patients with cancer receiving myelosuppressive chemotherapy
  • patients with acute myeloid leukemia receiving induction or consolidation chemotherapy
  • patients with cancer undergoing bone marrow transplant
  • patients undergoing autologous peripheral blood progenitor cell collection and therapy
  • patients with severe chronic neutropenia.

Zarxio is marketed as Zarzio outside the US. The biosimilar is available in more than 60 countries worldwide.

“Biosimilars will provide access to important therapies for patients who need them,” said FDA Commissioner Margaret A. Hamburg, MD.

“Patients and the healthcare community can be confident that biosimilar products approved by the FDA meet the agency’s rigorous safety, efficacy, and quality standards.”

Zarxio data

The FDA’s approval of Zarxio is based on a review of evidence that included structural and functional characterization, in vivo data, human pharmacokinetic and pharmacodynamics data, clinical immunogenicity data, and other clinical safety and effectiveness data that demonstrates Zarxio is biosimilar to Neupogen.

The PIONEER study was the final piece of data the FDA used to approve Zarxio as biosimilar to Neupogen. The data was sufficient to allow extrapolation of the use of Zarxio to all indications of Neupogen.

In the PIONEER study, Zarxio and Neupogen both produced the expected reduction in the duration of severe neutropenia in cancer patients undergoing myelosuppressive chemotherapy—1.17 and 1.20 days, respectively.

The mean time to absolute neutrophil count recovery in cycle 1 was also similar—1.8 ± 0.97 days in the Zarxio arm and 1.7 ± 0.81 days in the Neupogen arm. No immunogenicity or antibodies against rhG-CSF were detected throughout the study.

The most common side effects of Zarxio are aching in the bones or muscles and redness, swelling, or itching at the injection site. Serious side effects may include spleen rupture; serious allergic reactions that may cause rash, shortness of breath, wheezing and/or swelling around the mouth and eyes; fast pulse and sweating; and acute respiratory distress syndrome.

About biosimilar approval

The Biologics Price Competition and Innovation Act of 2009 (BPCI Act) was passed as part of the Affordable Care Act that President Barack Obama signed into law in March 2010. The BPCI Act created an abbreviated licensure pathway for biological products shown to be “biosimilar” to or “interchangeable” with an FDA-licensed biological product, known as the reference product.

This abbreviated licensure pathway under section 351(k) of the Public Health Service Act permits reliance on certain existing scientific knowledge about the safety and effectiveness of the reference product, and it enables a biosimilar biological product to be licensed based on less than a full complement of product-specific preclinical and clinical data.

A biosimilar product can only be approved by the FDA if it has the same mechanism(s) of action, route(s) of administration, dosage form(s) and strength(s) as the reference product, and only for the indication(s) and condition(s) of use that have been approved for the reference product. The facilities where biosimilars are manufactured must also meet the FDA’s standards.

There must be no clinically meaningful differences between the biosimilar and the reference product in terms of safety and effectiveness. Only minor differences in clinically inactive components are allowable.

Zarxio has been approved as a biosimilar, not an interchangeable product. Under the BPCI Act, a biological product that has been approved as “interchangeable” may be substituted for the reference product without the intervention of the healthcare provider who prescribed the reference product.

 

 

For Zarxio’s approval, the FDA has designated a placeholder nonproprietary name for this product as “filgrastim-sndz.” The provision of a placeholder nonproprietary name should not be viewed as reflective of the agency’s decision on a comprehensive naming policy for biosimilars and other biological products.

While the FDA has not yet issued draft guidance on how current and future biological products marketed in the US should be named, the agency intends to do so in the near future.

For more details on Zarxio, see the full prescribing information.

The US Food and Drug Administration (FDA) has approved the leukocyte growth factor Zarxio (filgrastim-sndz), the first biosimilar product to be approved in the US.

A biosimilar product is approved based on data showing that it is highly similar to an already-approved biological product.

Sandoz Inc’s Zarxio is biosimilar to Amgen Inc’s Neupogen (filgrastim), which was originally licensed in 1991. Zarxio is now approved for the same indications as Neupogen.

Zarxio can be prescribed for:

  • patients with cancer receiving myelosuppressive chemotherapy
  • patients with acute myeloid leukemia receiving induction or consolidation chemotherapy
  • patients with cancer undergoing bone marrow transplant
  • patients undergoing autologous peripheral blood progenitor cell collection and therapy
  • patients with severe chronic neutropenia.

Zarxio is marketed as Zarzio outside the US. The biosimilar is available in more than 60 countries worldwide.

“Biosimilars will provide access to important therapies for patients who need them,” said FDA Commissioner Margaret A. Hamburg, MD.

“Patients and the healthcare community can be confident that biosimilar products approved by the FDA meet the agency’s rigorous safety, efficacy, and quality standards.”

Zarxio data

The FDA’s approval of Zarxio is based on a review of evidence that included structural and functional characterization, in vivo data, human pharmacokinetic and pharmacodynamics data, clinical immunogenicity data, and other clinical safety and effectiveness data that demonstrates Zarxio is biosimilar to Neupogen.

The PIONEER study was the final piece of data the FDA used to approve Zarxio as biosimilar to Neupogen. The data was sufficient to allow extrapolation of the use of Zarxio to all indications of Neupogen.

In the PIONEER study, Zarxio and Neupogen both produced the expected reduction in the duration of severe neutropenia in cancer patients undergoing myelosuppressive chemotherapy—1.17 and 1.20 days, respectively.

The mean time to absolute neutrophil count recovery in cycle 1 was also similar—1.8 ± 0.97 days in the Zarxio arm and 1.7 ± 0.81 days in the Neupogen arm. No immunogenicity or antibodies against rhG-CSF were detected throughout the study.

The most common side effects of Zarxio are aching in the bones or muscles and redness, swelling, or itching at the injection site. Serious side effects may include spleen rupture; serious allergic reactions that may cause rash, shortness of breath, wheezing and/or swelling around the mouth and eyes; fast pulse and sweating; and acute respiratory distress syndrome.

About biosimilar approval

The Biologics Price Competition and Innovation Act of 2009 (BPCI Act) was passed as part of the Affordable Care Act that President Barack Obama signed into law in March 2010. The BPCI Act created an abbreviated licensure pathway for biological products shown to be “biosimilar” to or “interchangeable” with an FDA-licensed biological product, known as the reference product.

This abbreviated licensure pathway under section 351(k) of the Public Health Service Act permits reliance on certain existing scientific knowledge about the safety and effectiveness of the reference product, and it enables a biosimilar biological product to be licensed based on less than a full complement of product-specific preclinical and clinical data.

A biosimilar product can only be approved by the FDA if it has the same mechanism(s) of action, route(s) of administration, dosage form(s) and strength(s) as the reference product, and only for the indication(s) and condition(s) of use that have been approved for the reference product. The facilities where biosimilars are manufactured must also meet the FDA’s standards.

There must be no clinically meaningful differences between the biosimilar and the reference product in terms of safety and effectiveness. Only minor differences in clinically inactive components are allowable.

Zarxio has been approved as a biosimilar, not an interchangeable product. Under the BPCI Act, a biological product that has been approved as “interchangeable” may be substituted for the reference product without the intervention of the healthcare provider who prescribed the reference product.

 

 

For Zarxio’s approval, the FDA has designated a placeholder nonproprietary name for this product as “filgrastim-sndz.” The provision of a placeholder nonproprietary name should not be viewed as reflective of the agency’s decision on a comprehensive naming policy for biosimilars and other biological products.

While the FDA has not yet issued draft guidance on how current and future biological products marketed in the US should be named, the agency intends to do so in the near future.

For more details on Zarxio, see the full prescribing information.

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Stepping toward discharge: Level of ambulation in hospitalized patients

A number of observational studies have documented the association between prolonged bed rest during hospitalization with adverse short‐ and long‐term functional impairments and disability in older patients.[1, 2, 3, 4] However, the body of evidence on the benefits of early mobilization on functional outcomes in both critically ill patients and more stable patients on medical‐surgical floors remains inconclusive.[5, 6, 7, 8, 9] Despite the increased emphasis on mobilizing patients early and often in the inpatient setting, there is surprisingly little information available regarding how typically active adult patients are during their hospital stay. The few published studies that are available are limited by small samples and types of patients who were monitored.[10, 11, 12, 13, 14] Therefore, the purpose of this real‐world study was to describe the level of ambulation in a large sample of hospitalized adult patients using a validated consumer‐grade wireless accelerometer.

METHODS

This was a prospective cohort study of ambulatory patients from 3 medical‐surgical units of a community hospital from March 2014 through July 2014. The study was approved by the Kaiser Permanente Southern California Institutional Review Board. All ambulatory medical and surgical adult patients were eligible for the study except for those with isolation precautions. Patients wore an accelerometer (Tractivity; Kineteks Corp., Vancouver, BC, Canada) on the ankle from soon after admission to the unit until discharge home. The sensors were only removed for bathing and medical procedures, at which time the devices were secured to the patient's bed and reworn upon their return to the room. The nursing staff was trained to use the vendor application to register the sensor to the patient, secure the sensor to the patient's ankle, transfer the sensor data to the vendor server, review the step counts on the web application, and manually key the step count into the electronic medical records (EMRs) as part of routine nursing workflow. The staff otherwise continued with usual patient mobilization practices.

We previously validated the Tractivity device in a field study of 20 hospitalized patients using a research‐grade accelerometer, Stepwatch, as the gold standard (unpublished data). We found that the inter‐Tractivity device reliability was near perfect (intraclass correlation=0.99), and that the Tractivity step counts correlated highly with the nurses' documentation on a paper log of distance walked measured in feet (r=0.76). A small number of steps (<100) were recorded over 24 hours when the device was worn by 2 bed bound patients. The 24‐hour Tractivity step count had acceptable limits of agreement with the Stepwatch (+284 [standard deviation: 314] steps; 95% limits of agreement 911‐343). In addition, for the current study, when we examined the step counts between patients who were classified by the nursing team as being able to walk <50 feet (n=320) compared to patients who were able to walk >50 feet (n=434), we found a significant difference in the median number of steps over a 24‐hour period (854 vs 1697, P<0.0001).

The step count data were exported from the vendor's server, examined for irregularities, and merged with administrative and clinical data for analysis. Data extracted from the EMR system included sociodemographic (age, gender, marital status, and race/ethnicity) and clinical characteristics (LACE score [readmission risk score based on length of stay (L); acuity of the admission (A); comorbidity of the patient (measured with the Charlson comorbidity index score) (C); and emergency department use (measured as the number of visits in the six months before admission) (E),[15] Charlson Comorbidity Index, length of stay, principal discharge diagnosis, and body mass index), and nursing documentation of functional status (bed bound, sit up in bed, stand next to bed, walk <50 feet, and walk >50 feet).

Descriptive statistics and nonparametric tests (Kruskal‐Wallis and Wilcoxon signed rank) were used to analyze the non‐normally distributed step count data. Quantile regression[16] was used to determine the association between the frequency of the care team's review and documentation of steps, with median total step count adjusting for age, gender, LACE score, and medicine/surgical service line. Whereas linear regression allows one to describe how the mean of a given outcome changes with respect to some set of covariates in circumstances where data are normally distributed, quantile regression allows one to assess how a set of covariates are related to a prespecified quantile (eg, 50% percentile median) of an outcome distribution. This modeling is especially appropriate here, because step count data are not normally distributed. Because step counts can vary with a number of factors, such as age and principal admitting and discharge diagnoses, we stratified our analyses by age (<65 or 65 years) and service lines (medical or surgical) due to the relatively small numbers of patients in each of the diagnostic groupings. Statistical analyses were performed using SAS version 9.3 (SAS Institute Inc., Cary, NC); P values <0.05 were considered statistically significant.

RESULTS

A total of 1667 patients wore the activity sensor during their hospital stay. We included 777 patients in our analysis who had lengths of stay long enough for 24 hours of continuous monitoring, and almost half of these patients had at least 48 hours of monitoring (n=378). The demographic and clinical characteristics of the sample are detailed in Table 1. The sample included mostly medical patients (77%), with a mean age of 6017 years, 57% females, and 55% nonwhites. Nearly all patients (97%) were classified as ambulatory at discharge based on the EMR data. Approximately 44% of the sensors were lost, mostly due to nursing staff forgetting to remove the devices at discharge; device failure was minimal (n=10).

Sample Characteristics of Patients With 24 Hours of Monitoring Discharged to Home (n=777)
Variables Value
  • NOTE: Data are presented as either meanstandard deviation or count (%).Preadmission level of function that was documented closest to admission time was used. The modal current level of function score in last 24 hours prior to discharge was used. LACE is the readmission risk score based on length of stay (L); acuity of the admission (A); comorbidity of the patient (measured with the Charlson comorbidity index score) (C); and emergency department use (measured as the number of visits in the six months before admission) (E). *Other categories include complications of pregnancy/childbirth, hematologic, other musculoskeletal and skin/subcutaneous disorders, injuries and poisoning, mental illness, other ill‐defined conditions.

Sociodemographics
Age
1840 years 111 (15%)
4165 years 325 (42%)
6575 years 187 (24%)
75 years 151 (19%)
Females 444 (57%)
Race/ethnicity
White 349 (45%)
Hispanics 277 (35%)
African American 101 (13%)
Asian/Pacific Islander 37 (5%)
Other 13 (2%)
Marital status
Partnered 435 (56%)
Unpartnered 332 (43%)
Other/unknown 10 (1%)
Clinical characteristics
Medical (principal discharge diagnoses)
Cardiovascular 116 (15%)
Respiratory 84 (11%)
Gastrointestinal 122 (16%)
Genitourinary 31 (4%)
Metabolic/electrolytes 26 (3%)
Septicemia 92 (12%)
Nervous system 21 (3%)
Cancer/malignancies 13 (1%)
Other* 103 (13%)
Surgical
Orthopedic surgery 60 (8%)
Other surgeries 109 (14%)
LACE score 9.33.5
Charlson index
01 665 (85%)
23 98 (13%)
4+ 14 (2%)
Length of stay, d 3.983.80
Body mass index 30.27.5
Functional status
Preadmission level of function
1, bed bound 3 (0.5%)
2, able to sit 6 (1%)
3, stand next to bed 3 (0.5%)
4, walk <50 feet 113 (14%)
5, walk >50 feet 651 (84%)
Missing 1 (0%)
Current level of function
1, bed bound 1 (0%)
2, able to sit 6 (1%)
3, stand next to bed 7 (1%)
4, walk <50 feet 320 (41%)
5, walk >50 feet 434 (56%)
Missing 9 (1%)

Patients accrued a median of 1158 (interquartile range: 6362238) steps over the 24 hours prior to discharge to home (Table 2). Approximately 13 (2%) patients registered zero steps in the last 24 hours; this may have been due to patients truly not accruing any steps, device failure, or the device was registered but never worn by the patient. Patients who were 65 years and older on both the medicine and surgical services accrued fewer steps compared to younger patients (962 vs 1294, P<0.0001). For patients who had at least 48 hours of continuous monitoring (n=378), there was a median increase of 377 steps from the first 24 hours from admission to the unit to the final 24 hours prior to discharge (811 steps to 1188 steps, P<0.0001) (Table 3 and Figure 1). The average length of stay for these patients was 5.74.9 days. Despite the longer length of stay, the level of ambulation at discharge was similar to patients with shorter stays. This is further illustrated in Figure 2 in the spaghetti plots of total steps over 4, 24‐hour monitoring increments. Ignoring the outliers, the plots suggest the following: (1) step counts tended to increase or stay about the same over the course of a hospitalization; and (2) for the medicine service line, step counts in the final 24 hours prior to discharge for patients with longer lengths of stay (72 or 96 hours) did not appear to be substantially different from patients with shorter lengths of stay. The data for the surgical patients are either too sparse or erratic to make any firm conclusions. Patients accrued steps throughout the day with the highest percentage of steps logged at approximately 6 am and 6 pm; these data are based on time stamps from the device, not the time of data transfer or documentation in the EMR (Figure 3).

Total Step Count in the Last 24 Hours Prior to Discharge to Home for Patients With 24 Hours of Monitoring
Service Total Steps Last 24 Hours
Mean SD Median
  • NOTE: Abbreviations: SD, standard deviation.

Medicine
<65 years old (n=321) 1,972 1,995 1,284
65 years old (n=287) 1,367 1,396 968
Surgical
<65 years old (n=118) 2,238 2,082 1,378
65 years old (n=51) 1,485 1,647 890
Total (n=777) 1,757 1,818 1,158
Total Step Count in the First 24 Hours of Admission to the Medical‐Surgical Unit and Last 24 Hours Prior to Discharge to Home for Patients With 48 Hours of Monitoring
Service Total Steps
First 24 Hours Last 24 Hours
Mean SD Median Mean SD Median
  • NOTE: Abbreviations: SD, standard deviation.

Medicine
<65 years old (n=168) 1,427 1,690 953 2,005 2,006 1,287
65 years old (n=127) 1,004 1,098 676 1,260 1,291 904
Surgical
<65 years old (n=53) 1,722 1,696 1060 2,553 2,142 1,882
65 years old (n=30) 1,184 1,470 704 1,829 1,996 1,053
Total (n=378) 1,307 1,515 811 1,817 1,864 1,188
Figure 1
Box plots of total step counts in the first 24 hours of admission to the medical‐surgical unit and last 24 hours prior to discharge to home for patients with ≥48 hours of monitoring by age and service line.
Figure 2
Spaghetti plots of total step counts for each 24‐hour monitoring period by age (<65 and ≥65 years) and service line (medical or surgical). Sample sizes are as follows: 24 hours (black dots, n = 399), 48 hours (red lines, n = 190), 72 hours (green lines, n = 80), 96 hours (blue lines, n = 108).
Figure 3
Distribution of step counts by percentage of accrued steps over 24 hours prior to discharge.

More frequent documentation of step counts in the EMR (proxy for step count data retrieval and review from the vendor web site) by the care team was associated with higher total step counts after adjustments for relevant covariates (P0.001); 3 or more documentations over a 24‐hour period appears to be a minimal frequency to achieving approximately 200 steps more than the median value (Table 4).

Association Between Frequency of Step Count Documentation in the EMR and Total Step Counts in the Last 24 Hours Prior to Discharge to Home for Those With at Least 24 Hours of Observation
Service Frequency of Documentation of Step Counts in EMR Over 24 Hours P Value Trenda Adjusted P Valueb
0 1 2 3 4
  • NOTE: Abbreviations: EMR, electronic medical record; SD, standard deviation.

  • P value for trend (quantile regression for median step counts).

  • Adjusted for age, gender, LACE score (readmission risk score based on length of stay (L); acuity of the admission (A); comorbidity of the patient (measured with the Charlson comorbidity index score) (C); and emergency department use (measured as the number of visits in the six months before admission) (E), and service line (medicine/surgical) where relevant.

Medicine
<65 years old (n=321) MeanSD 1,4051,414 2,4152,037 2,0101,929 1,9811,907 2,7412,876
Median 1,056 1,514 1284 1,196 1,702 0.004 0.003
N (%) 83 (26%) 109 (34%) 71 (22%) 25 (8%) 33 (10%)
65 years old (n=287) MeanSD 1,3481,711 1,1991428 1,290951 1,5291,180 1,8781,214
Median 850 773 999 1,278 1,498 0.07 0.10
N (%) 85 (30%) 82 (28%) 66 (23%) 20 (7%) 34 (12%)
Surgical
<65 years old (n=118) MeanSD 2,0772,001 1,8591,598 2,6182,536 2,3122,031 3,8022,979
Median 1,361 1,250 1,181 1,719 3,149 0.06 0.05
N (%) 42 (35%) 36 (31%) 18 (15%) 14 (12%) 8 (7%)
65 years old (n=51) MeanSD 2,0032,254 1,4781,603 1,1651,246 478 1,219469
Median 1,028 820 672 478 1,426 0.20 0.15
N (%) 13 (26%) 19 (37%) 15 (29%) 1 (2%) 3 (6%)
Total (n=777) MeanSD 1,5441,717 1,7361,799 1,7201,699 1,8831720 2,4152,304
Median 1,012 1,116 1,124 1,314 1,557 <0.001 <0.001
N (%) 223 (29%) 246 (31%) 170 (22%) 60 (8%) 78 (10%)

DISCUSSION

We found that ambulatory medical‐surgical patients accrued a median of 1158 total steps in the 24 hours prior to their discharge home, which translates to walking approximately 500 meters; older patients accrued fewer steps compared to younger patients. In patients with longer length of stay, the level of ambulation at discharge was similar to patients with shorter stays, suggesting there may be an ambulation threshold (1100 steps) that patients achieve regardless of the length of stay before they are discharged home. In addition, patients whose care team reviewed and documented step counts at least 3 times over a 24‐hour period accrued significantly more steps than patients whose care team made fewer documentations.

The median step counts accrued by surgical patients in our study are similar to that found in Cook and colleagues'[14] report of patients after elective cardiac surgery using another popular consumer‐grade accelerometer. The providers in that study also had access to the data via a dashboard, but it was not clear how this information was used. Brown et al.[12] conducted the first study to objectively monitor mobility using 2 accelerometers in 45 older male veterans who had no prior mobility impairment, and found that patients spent 83% of their hospitalization lying in bed. The veterans spent about 3% of the time (43 minutes per day) standing or walking over a mean length of stay of 5 days. In a similar study with 43 older Dutch patients who had an average length of stay of 7 days, Pedersen et al.[10] found that patients spent 71% of their time lying, 21% sitting, and 4% standing or walking. Unfortunately, neither the Brown et al. nor Pedersen et al. studies were able to distinguish between standing and ambulatory activities. In a more recent study of 47 patients on medical‐surgical units at 2 hospitals that relied on time and motion observation methods, the mean duration for ambulation was <2 minutes during an 8‐hour period.[13]

We took advantage of the variability in the nursing documentation of step counts in the EMR to determine if there was a dose‐response relationship between the frequency of nursing documentation in a 24‐hour period and number of steps patients accrued. We hypothesized that if nurses make an effort to retrieve data from the vendor website and manually key in the step counts in the EMR, they are more likely to incorporate this information in their nursing care, share the information with patients and other clinicians, and therefore create a positive feedback loop for greater ambulation. Although our findings suggest a positive association between more frequent documentation and increased step counts, we cannot exclude the possibility that nurses naturally modulate the frequency with which they review and document step counts based on their overall judgment of the patients' mobility status (ie, patients who are more functionally impaired are assumed to accrue fewer steps over a shift, and therefore, nurses are less inclined to retrieve and document the information frequently). Future studies could prospectively examine what the optimal frequency for review and feedback of step counts is during a typical 8‐ or 12‐hour nursing shift for both patients and the nursing care team to promote ambulation.

A major strength of our study is the collection of objective ambulation data on a large inpatient sample by clinical staff as part of routine nursing care. This strength is balanced with several limitations. Due to the temporal pattern associated with ambulation, we were only able to analyze data for patients who had at least 24 hours of continuous monitoring. This could affect the generalizability of our findings, though we believe there is limited pragmatic value in closely tracking ambulation in patients who have such short stays. There was substantial variability in the step counts, reflecting the mix of medical versus surgical patients and their age, with very small samples available for meaningful subgroup analyses other than what we have presented. We were not able to measure other dimensions of mobility such as transfers or sitting in a chair, because the sensor is designed to only measure steps. In addition, we lost a large number of devices, mostly due to staff forgetting to remove the devices from patients' ankles at discharge. Finally, because we did not blind the nurses and patients to the step count data, the preliminary normative step counts that we present in this article may be higher than expected in patients cared for on medical‐surgical units.

In summary, we found that it is possible to measure ambulation objectively and reliably in hospitalized patients, and have provided preliminary normative step counts for a representative but heterogeneous medical‐surgical population. We also found that most patients who were discharged were ambulating at least 1100 steps over the 24 hours prior to leaving the hospital, regardless of their length of stay. This might suggest that step counts could be a useful parameter in determining readiness for hospital discharge. Our data also suggest that more frequent, objective monitoring of step counts by the nursing care team was associated with patients ambulating more. Both of these findings deserve further exploration. Future studies will need to be conducted on larger samples of medical and surgical hospitalized patients to adequately establish more refined step count norms for specific clinical populations, but especially for older patients, because this age group is at a particularly higher risk of poor functional outcomes with hospitalization. Having accurate and reliable information on ambulation is fundamental to any effort to improve ambulation in hospitalized patients. Moreover, knowing the normative range for step counts in the last 24 hours prior to discharge across specific clinical and age subgroups, could assist with discharge planning and provision of appropriate rehabilitative services in the home or community for safe transitions out of the hospital.[17]

Acknowledgements

The authors express their gratitude to the patients and nurses at the Kaiser Permanente Southern California, Ontario Medical Center.

Disclosures: Funded by the Kaiser Permanente Southern California Care Improvement Research Team. Dr. Sallis contributed substantially to the study design, interpretation, and preparation of this article. Ms. Sturm and Chijioke contributed to the interpretation and preparation of this article. Dr. Kanter contributed to study design, interpretation, and preparation of this article. Mr. Huang contributed to the analysis, interpretation, and preparation of this article. Dr. Shen contributed to study design, analysis, interpretation, and preparation of this article. Dr. Nguyen had full access to the data and led the design, analysis, interpretation, and preparation of this article. Dr. Nguyen had full access to the data and will vouch for the integrity of the work as a whole, from inception to published article. The authors have no funding, financial relationships, or conflicts of interest to disclose.

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References
  1. Brown CJ, Friedkin RJ, Inouye SK. Prevalence and outcomes of low mobility in hospitalized older patients. J Am Geriatr Soc. 2004;52(8):12631270.
  2. Zisberg A, Shadmi E, Sinoff G, Gur‐Yaish N, Srulovici E, Admi H. Low mobility during hospitalization and functional decline in older adults. J Am Geriatr Soc. 2011;59(2):266273.
  3. Hirsch CH, Sommers L, Olsen A, Mullen L, Winograd CH. The natural history of functional morbidity in hospitalized older patients. J Am Geriatr Soc. 1990;38(12):12961303.
  4. Fisher SR, Kuo YF, Graham JE, Ottenbacher KJ, Ostir GV. Early ambulation and length of stay in older adults hospitalized for acute illness. Arch Intern Med. 2010;170(21):19421943.
  5. Adler J, Malone D. Early mobilization in the intensive care unit: a systematic review. Cardiopulm Phys Ther J. 2012;23(1):513.
  6. Kalisch BJ, Lee S, Dabney BW. Outcomes of inpatient mobilization: a literature review. J Clin Nurs. 2014;23(11–12):14861501.
  7. Greening NJ, Williams JE, Hussain SF, et al. An early rehabilitation intervention to enhance recovery during hospital admission for an exacerbation of chronic respiratory disease: randomised controlled trial. BMJ. 2014;349:g4315.
  8. Morton NA, Keating JL, Berlowitz DJ, Jackson B, Lim WK. Additional exercise does not change hospital or patient outcomes in older medical patients: a controlled clinical trial. Aust J Physiother. 2007;53(2):105111.
  9. Morton NA, Keating JL, Jeffs K. Exercise for acutely hospitalised older medical patients. Cochrane Database Syst Rev. 2007;(1):CD005955.
  10. Pedersen MM, Bodilsen AC, Petersen J, et al. Twenty‐four‐hour mobility during acute hospitalization in older medical patients. J Gerontol A Biol Sci Med Sci. 2013;68(3):331337.
  11. Ostir GV, Berges IM, Kuo YF, Goodwin JS, Fisher SR, Guralnik JM. Mobility activity and its value as a prognostic indicator of survival in hospitalized older adults. J Am Geriatr Soc. 2013;61(4):551557.
  12. Brown CJ, Redden DT, Flood KL, Allman RM. The underrecognized epidemic of low mobility during hospitalization of older adults. J Am Geriatr Soc. 2009;57(9):16601665.
  13. Doherty‐King B, Yoon JY, Pecanac K, Brown R, Mahoney J. Frequency and duration of nursing care related to older patient mobility. J Nurs Scholarsh. 2014;46(1):2027.
  14. Cook DJ, Thompson JE, Prinsen SK, Dearani JA, Deschamps C. Functional recovery in the elderly after major surgery: assessment of mobility recovery using wireless technology. Ann Thorac Surg. 2013;96(3):10571061.
  15. Walraven C, Dhalla IA, Bell C, et al. Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community. CMAJ. 2010;182(6):551557.
  16. Koenker R, Hallock K. Quantile regression: an introduction. J Econ Perspect. 2001;15(4):4356.
  17. Krumholz HM. Post‐hospital syndrome—an acquired, transient condition of generalized risk. N Engl J Med. 2013;368(2):100102.
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A number of observational studies have documented the association between prolonged bed rest during hospitalization with adverse short‐ and long‐term functional impairments and disability in older patients.[1, 2, 3, 4] However, the body of evidence on the benefits of early mobilization on functional outcomes in both critically ill patients and more stable patients on medical‐surgical floors remains inconclusive.[5, 6, 7, 8, 9] Despite the increased emphasis on mobilizing patients early and often in the inpatient setting, there is surprisingly little information available regarding how typically active adult patients are during their hospital stay. The few published studies that are available are limited by small samples and types of patients who were monitored.[10, 11, 12, 13, 14] Therefore, the purpose of this real‐world study was to describe the level of ambulation in a large sample of hospitalized adult patients using a validated consumer‐grade wireless accelerometer.

METHODS

This was a prospective cohort study of ambulatory patients from 3 medical‐surgical units of a community hospital from March 2014 through July 2014. The study was approved by the Kaiser Permanente Southern California Institutional Review Board. All ambulatory medical and surgical adult patients were eligible for the study except for those with isolation precautions. Patients wore an accelerometer (Tractivity; Kineteks Corp., Vancouver, BC, Canada) on the ankle from soon after admission to the unit until discharge home. The sensors were only removed for bathing and medical procedures, at which time the devices were secured to the patient's bed and reworn upon their return to the room. The nursing staff was trained to use the vendor application to register the sensor to the patient, secure the sensor to the patient's ankle, transfer the sensor data to the vendor server, review the step counts on the web application, and manually key the step count into the electronic medical records (EMRs) as part of routine nursing workflow. The staff otherwise continued with usual patient mobilization practices.

We previously validated the Tractivity device in a field study of 20 hospitalized patients using a research‐grade accelerometer, Stepwatch, as the gold standard (unpublished data). We found that the inter‐Tractivity device reliability was near perfect (intraclass correlation=0.99), and that the Tractivity step counts correlated highly with the nurses' documentation on a paper log of distance walked measured in feet (r=0.76). A small number of steps (<100) were recorded over 24 hours when the device was worn by 2 bed bound patients. The 24‐hour Tractivity step count had acceptable limits of agreement with the Stepwatch (+284 [standard deviation: 314] steps; 95% limits of agreement 911‐343). In addition, for the current study, when we examined the step counts between patients who were classified by the nursing team as being able to walk <50 feet (n=320) compared to patients who were able to walk >50 feet (n=434), we found a significant difference in the median number of steps over a 24‐hour period (854 vs 1697, P<0.0001).

The step count data were exported from the vendor's server, examined for irregularities, and merged with administrative and clinical data for analysis. Data extracted from the EMR system included sociodemographic (age, gender, marital status, and race/ethnicity) and clinical characteristics (LACE score [readmission risk score based on length of stay (L); acuity of the admission (A); comorbidity of the patient (measured with the Charlson comorbidity index score) (C); and emergency department use (measured as the number of visits in the six months before admission) (E),[15] Charlson Comorbidity Index, length of stay, principal discharge diagnosis, and body mass index), and nursing documentation of functional status (bed bound, sit up in bed, stand next to bed, walk <50 feet, and walk >50 feet).

Descriptive statistics and nonparametric tests (Kruskal‐Wallis and Wilcoxon signed rank) were used to analyze the non‐normally distributed step count data. Quantile regression[16] was used to determine the association between the frequency of the care team's review and documentation of steps, with median total step count adjusting for age, gender, LACE score, and medicine/surgical service line. Whereas linear regression allows one to describe how the mean of a given outcome changes with respect to some set of covariates in circumstances where data are normally distributed, quantile regression allows one to assess how a set of covariates are related to a prespecified quantile (eg, 50% percentile median) of an outcome distribution. This modeling is especially appropriate here, because step count data are not normally distributed. Because step counts can vary with a number of factors, such as age and principal admitting and discharge diagnoses, we stratified our analyses by age (<65 or 65 years) and service lines (medical or surgical) due to the relatively small numbers of patients in each of the diagnostic groupings. Statistical analyses were performed using SAS version 9.3 (SAS Institute Inc., Cary, NC); P values <0.05 were considered statistically significant.

RESULTS

A total of 1667 patients wore the activity sensor during their hospital stay. We included 777 patients in our analysis who had lengths of stay long enough for 24 hours of continuous monitoring, and almost half of these patients had at least 48 hours of monitoring (n=378). The demographic and clinical characteristics of the sample are detailed in Table 1. The sample included mostly medical patients (77%), with a mean age of 6017 years, 57% females, and 55% nonwhites. Nearly all patients (97%) were classified as ambulatory at discharge based on the EMR data. Approximately 44% of the sensors were lost, mostly due to nursing staff forgetting to remove the devices at discharge; device failure was minimal (n=10).

Sample Characteristics of Patients With 24 Hours of Monitoring Discharged to Home (n=777)
Variables Value
  • NOTE: Data are presented as either meanstandard deviation or count (%).Preadmission level of function that was documented closest to admission time was used. The modal current level of function score in last 24 hours prior to discharge was used. LACE is the readmission risk score based on length of stay (L); acuity of the admission (A); comorbidity of the patient (measured with the Charlson comorbidity index score) (C); and emergency department use (measured as the number of visits in the six months before admission) (E). *Other categories include complications of pregnancy/childbirth, hematologic, other musculoskeletal and skin/subcutaneous disorders, injuries and poisoning, mental illness, other ill‐defined conditions.

Sociodemographics
Age
1840 years 111 (15%)
4165 years 325 (42%)
6575 years 187 (24%)
75 years 151 (19%)
Females 444 (57%)
Race/ethnicity
White 349 (45%)
Hispanics 277 (35%)
African American 101 (13%)
Asian/Pacific Islander 37 (5%)
Other 13 (2%)
Marital status
Partnered 435 (56%)
Unpartnered 332 (43%)
Other/unknown 10 (1%)
Clinical characteristics
Medical (principal discharge diagnoses)
Cardiovascular 116 (15%)
Respiratory 84 (11%)
Gastrointestinal 122 (16%)
Genitourinary 31 (4%)
Metabolic/electrolytes 26 (3%)
Septicemia 92 (12%)
Nervous system 21 (3%)
Cancer/malignancies 13 (1%)
Other* 103 (13%)
Surgical
Orthopedic surgery 60 (8%)
Other surgeries 109 (14%)
LACE score 9.33.5
Charlson index
01 665 (85%)
23 98 (13%)
4+ 14 (2%)
Length of stay, d 3.983.80
Body mass index 30.27.5
Functional status
Preadmission level of function
1, bed bound 3 (0.5%)
2, able to sit 6 (1%)
3, stand next to bed 3 (0.5%)
4, walk <50 feet 113 (14%)
5, walk >50 feet 651 (84%)
Missing 1 (0%)
Current level of function
1, bed bound 1 (0%)
2, able to sit 6 (1%)
3, stand next to bed 7 (1%)
4, walk <50 feet 320 (41%)
5, walk >50 feet 434 (56%)
Missing 9 (1%)

Patients accrued a median of 1158 (interquartile range: 6362238) steps over the 24 hours prior to discharge to home (Table 2). Approximately 13 (2%) patients registered zero steps in the last 24 hours; this may have been due to patients truly not accruing any steps, device failure, or the device was registered but never worn by the patient. Patients who were 65 years and older on both the medicine and surgical services accrued fewer steps compared to younger patients (962 vs 1294, P<0.0001). For patients who had at least 48 hours of continuous monitoring (n=378), there was a median increase of 377 steps from the first 24 hours from admission to the unit to the final 24 hours prior to discharge (811 steps to 1188 steps, P<0.0001) (Table 3 and Figure 1). The average length of stay for these patients was 5.74.9 days. Despite the longer length of stay, the level of ambulation at discharge was similar to patients with shorter stays. This is further illustrated in Figure 2 in the spaghetti plots of total steps over 4, 24‐hour monitoring increments. Ignoring the outliers, the plots suggest the following: (1) step counts tended to increase or stay about the same over the course of a hospitalization; and (2) for the medicine service line, step counts in the final 24 hours prior to discharge for patients with longer lengths of stay (72 or 96 hours) did not appear to be substantially different from patients with shorter lengths of stay. The data for the surgical patients are either too sparse or erratic to make any firm conclusions. Patients accrued steps throughout the day with the highest percentage of steps logged at approximately 6 am and 6 pm; these data are based on time stamps from the device, not the time of data transfer or documentation in the EMR (Figure 3).

Total Step Count in the Last 24 Hours Prior to Discharge to Home for Patients With 24 Hours of Monitoring
Service Total Steps Last 24 Hours
Mean SD Median
  • NOTE: Abbreviations: SD, standard deviation.

Medicine
<65 years old (n=321) 1,972 1,995 1,284
65 years old (n=287) 1,367 1,396 968
Surgical
<65 years old (n=118) 2,238 2,082 1,378
65 years old (n=51) 1,485 1,647 890
Total (n=777) 1,757 1,818 1,158
Total Step Count in the First 24 Hours of Admission to the Medical‐Surgical Unit and Last 24 Hours Prior to Discharge to Home for Patients With 48 Hours of Monitoring
Service Total Steps
First 24 Hours Last 24 Hours
Mean SD Median Mean SD Median
  • NOTE: Abbreviations: SD, standard deviation.

Medicine
<65 years old (n=168) 1,427 1,690 953 2,005 2,006 1,287
65 years old (n=127) 1,004 1,098 676 1,260 1,291 904
Surgical
<65 years old (n=53) 1,722 1,696 1060 2,553 2,142 1,882
65 years old (n=30) 1,184 1,470 704 1,829 1,996 1,053
Total (n=378) 1,307 1,515 811 1,817 1,864 1,188
Figure 1
Box plots of total step counts in the first 24 hours of admission to the medical‐surgical unit and last 24 hours prior to discharge to home for patients with ≥48 hours of monitoring by age and service line.
Figure 2
Spaghetti plots of total step counts for each 24‐hour monitoring period by age (<65 and ≥65 years) and service line (medical or surgical). Sample sizes are as follows: 24 hours (black dots, n = 399), 48 hours (red lines, n = 190), 72 hours (green lines, n = 80), 96 hours (blue lines, n = 108).
Figure 3
Distribution of step counts by percentage of accrued steps over 24 hours prior to discharge.

More frequent documentation of step counts in the EMR (proxy for step count data retrieval and review from the vendor web site) by the care team was associated with higher total step counts after adjustments for relevant covariates (P0.001); 3 or more documentations over a 24‐hour period appears to be a minimal frequency to achieving approximately 200 steps more than the median value (Table 4).

Association Between Frequency of Step Count Documentation in the EMR and Total Step Counts in the Last 24 Hours Prior to Discharge to Home for Those With at Least 24 Hours of Observation
Service Frequency of Documentation of Step Counts in EMR Over 24 Hours P Value Trenda Adjusted P Valueb
0 1 2 3 4
  • NOTE: Abbreviations: EMR, electronic medical record; SD, standard deviation.

  • P value for trend (quantile regression for median step counts).

  • Adjusted for age, gender, LACE score (readmission risk score based on length of stay (L); acuity of the admission (A); comorbidity of the patient (measured with the Charlson comorbidity index score) (C); and emergency department use (measured as the number of visits in the six months before admission) (E), and service line (medicine/surgical) where relevant.

Medicine
<65 years old (n=321) MeanSD 1,4051,414 2,4152,037 2,0101,929 1,9811,907 2,7412,876
Median 1,056 1,514 1284 1,196 1,702 0.004 0.003
N (%) 83 (26%) 109 (34%) 71 (22%) 25 (8%) 33 (10%)
65 years old (n=287) MeanSD 1,3481,711 1,1991428 1,290951 1,5291,180 1,8781,214
Median 850 773 999 1,278 1,498 0.07 0.10
N (%) 85 (30%) 82 (28%) 66 (23%) 20 (7%) 34 (12%)
Surgical
<65 years old (n=118) MeanSD 2,0772,001 1,8591,598 2,6182,536 2,3122,031 3,8022,979
Median 1,361 1,250 1,181 1,719 3,149 0.06 0.05
N (%) 42 (35%) 36 (31%) 18 (15%) 14 (12%) 8 (7%)
65 years old (n=51) MeanSD 2,0032,254 1,4781,603 1,1651,246 478 1,219469
Median 1,028 820 672 478 1,426 0.20 0.15
N (%) 13 (26%) 19 (37%) 15 (29%) 1 (2%) 3 (6%)
Total (n=777) MeanSD 1,5441,717 1,7361,799 1,7201,699 1,8831720 2,4152,304
Median 1,012 1,116 1,124 1,314 1,557 <0.001 <0.001
N (%) 223 (29%) 246 (31%) 170 (22%) 60 (8%) 78 (10%)

DISCUSSION

We found that ambulatory medical‐surgical patients accrued a median of 1158 total steps in the 24 hours prior to their discharge home, which translates to walking approximately 500 meters; older patients accrued fewer steps compared to younger patients. In patients with longer length of stay, the level of ambulation at discharge was similar to patients with shorter stays, suggesting there may be an ambulation threshold (1100 steps) that patients achieve regardless of the length of stay before they are discharged home. In addition, patients whose care team reviewed and documented step counts at least 3 times over a 24‐hour period accrued significantly more steps than patients whose care team made fewer documentations.

The median step counts accrued by surgical patients in our study are similar to that found in Cook and colleagues'[14] report of patients after elective cardiac surgery using another popular consumer‐grade accelerometer. The providers in that study also had access to the data via a dashboard, but it was not clear how this information was used. Brown et al.[12] conducted the first study to objectively monitor mobility using 2 accelerometers in 45 older male veterans who had no prior mobility impairment, and found that patients spent 83% of their hospitalization lying in bed. The veterans spent about 3% of the time (43 minutes per day) standing or walking over a mean length of stay of 5 days. In a similar study with 43 older Dutch patients who had an average length of stay of 7 days, Pedersen et al.[10] found that patients spent 71% of their time lying, 21% sitting, and 4% standing or walking. Unfortunately, neither the Brown et al. nor Pedersen et al. studies were able to distinguish between standing and ambulatory activities. In a more recent study of 47 patients on medical‐surgical units at 2 hospitals that relied on time and motion observation methods, the mean duration for ambulation was <2 minutes during an 8‐hour period.[13]

We took advantage of the variability in the nursing documentation of step counts in the EMR to determine if there was a dose‐response relationship between the frequency of nursing documentation in a 24‐hour period and number of steps patients accrued. We hypothesized that if nurses make an effort to retrieve data from the vendor website and manually key in the step counts in the EMR, they are more likely to incorporate this information in their nursing care, share the information with patients and other clinicians, and therefore create a positive feedback loop for greater ambulation. Although our findings suggest a positive association between more frequent documentation and increased step counts, we cannot exclude the possibility that nurses naturally modulate the frequency with which they review and document step counts based on their overall judgment of the patients' mobility status (ie, patients who are more functionally impaired are assumed to accrue fewer steps over a shift, and therefore, nurses are less inclined to retrieve and document the information frequently). Future studies could prospectively examine what the optimal frequency for review and feedback of step counts is during a typical 8‐ or 12‐hour nursing shift for both patients and the nursing care team to promote ambulation.

A major strength of our study is the collection of objective ambulation data on a large inpatient sample by clinical staff as part of routine nursing care. This strength is balanced with several limitations. Due to the temporal pattern associated with ambulation, we were only able to analyze data for patients who had at least 24 hours of continuous monitoring. This could affect the generalizability of our findings, though we believe there is limited pragmatic value in closely tracking ambulation in patients who have such short stays. There was substantial variability in the step counts, reflecting the mix of medical versus surgical patients and their age, with very small samples available for meaningful subgroup analyses other than what we have presented. We were not able to measure other dimensions of mobility such as transfers or sitting in a chair, because the sensor is designed to only measure steps. In addition, we lost a large number of devices, mostly due to staff forgetting to remove the devices from patients' ankles at discharge. Finally, because we did not blind the nurses and patients to the step count data, the preliminary normative step counts that we present in this article may be higher than expected in patients cared for on medical‐surgical units.

In summary, we found that it is possible to measure ambulation objectively and reliably in hospitalized patients, and have provided preliminary normative step counts for a representative but heterogeneous medical‐surgical population. We also found that most patients who were discharged were ambulating at least 1100 steps over the 24 hours prior to leaving the hospital, regardless of their length of stay. This might suggest that step counts could be a useful parameter in determining readiness for hospital discharge. Our data also suggest that more frequent, objective monitoring of step counts by the nursing care team was associated with patients ambulating more. Both of these findings deserve further exploration. Future studies will need to be conducted on larger samples of medical and surgical hospitalized patients to adequately establish more refined step count norms for specific clinical populations, but especially for older patients, because this age group is at a particularly higher risk of poor functional outcomes with hospitalization. Having accurate and reliable information on ambulation is fundamental to any effort to improve ambulation in hospitalized patients. Moreover, knowing the normative range for step counts in the last 24 hours prior to discharge across specific clinical and age subgroups, could assist with discharge planning and provision of appropriate rehabilitative services in the home or community for safe transitions out of the hospital.[17]

Acknowledgements

The authors express their gratitude to the patients and nurses at the Kaiser Permanente Southern California, Ontario Medical Center.

Disclosures: Funded by the Kaiser Permanente Southern California Care Improvement Research Team. Dr. Sallis contributed substantially to the study design, interpretation, and preparation of this article. Ms. Sturm and Chijioke contributed to the interpretation and preparation of this article. Dr. Kanter contributed to study design, interpretation, and preparation of this article. Mr. Huang contributed to the analysis, interpretation, and preparation of this article. Dr. Shen contributed to study design, analysis, interpretation, and preparation of this article. Dr. Nguyen had full access to the data and led the design, analysis, interpretation, and preparation of this article. Dr. Nguyen had full access to the data and will vouch for the integrity of the work as a whole, from inception to published article. The authors have no funding, financial relationships, or conflicts of interest to disclose.

A number of observational studies have documented the association between prolonged bed rest during hospitalization with adverse short‐ and long‐term functional impairments and disability in older patients.[1, 2, 3, 4] However, the body of evidence on the benefits of early mobilization on functional outcomes in both critically ill patients and more stable patients on medical‐surgical floors remains inconclusive.[5, 6, 7, 8, 9] Despite the increased emphasis on mobilizing patients early and often in the inpatient setting, there is surprisingly little information available regarding how typically active adult patients are during their hospital stay. The few published studies that are available are limited by small samples and types of patients who were monitored.[10, 11, 12, 13, 14] Therefore, the purpose of this real‐world study was to describe the level of ambulation in a large sample of hospitalized adult patients using a validated consumer‐grade wireless accelerometer.

METHODS

This was a prospective cohort study of ambulatory patients from 3 medical‐surgical units of a community hospital from March 2014 through July 2014. The study was approved by the Kaiser Permanente Southern California Institutional Review Board. All ambulatory medical and surgical adult patients were eligible for the study except for those with isolation precautions. Patients wore an accelerometer (Tractivity; Kineteks Corp., Vancouver, BC, Canada) on the ankle from soon after admission to the unit until discharge home. The sensors were only removed for bathing and medical procedures, at which time the devices were secured to the patient's bed and reworn upon their return to the room. The nursing staff was trained to use the vendor application to register the sensor to the patient, secure the sensor to the patient's ankle, transfer the sensor data to the vendor server, review the step counts on the web application, and manually key the step count into the electronic medical records (EMRs) as part of routine nursing workflow. The staff otherwise continued with usual patient mobilization practices.

We previously validated the Tractivity device in a field study of 20 hospitalized patients using a research‐grade accelerometer, Stepwatch, as the gold standard (unpublished data). We found that the inter‐Tractivity device reliability was near perfect (intraclass correlation=0.99), and that the Tractivity step counts correlated highly with the nurses' documentation on a paper log of distance walked measured in feet (r=0.76). A small number of steps (<100) were recorded over 24 hours when the device was worn by 2 bed bound patients. The 24‐hour Tractivity step count had acceptable limits of agreement with the Stepwatch (+284 [standard deviation: 314] steps; 95% limits of agreement 911‐343). In addition, for the current study, when we examined the step counts between patients who were classified by the nursing team as being able to walk <50 feet (n=320) compared to patients who were able to walk >50 feet (n=434), we found a significant difference in the median number of steps over a 24‐hour period (854 vs 1697, P<0.0001).

The step count data were exported from the vendor's server, examined for irregularities, and merged with administrative and clinical data for analysis. Data extracted from the EMR system included sociodemographic (age, gender, marital status, and race/ethnicity) and clinical characteristics (LACE score [readmission risk score based on length of stay (L); acuity of the admission (A); comorbidity of the patient (measured with the Charlson comorbidity index score) (C); and emergency department use (measured as the number of visits in the six months before admission) (E),[15] Charlson Comorbidity Index, length of stay, principal discharge diagnosis, and body mass index), and nursing documentation of functional status (bed bound, sit up in bed, stand next to bed, walk <50 feet, and walk >50 feet).

Descriptive statistics and nonparametric tests (Kruskal‐Wallis and Wilcoxon signed rank) were used to analyze the non‐normally distributed step count data. Quantile regression[16] was used to determine the association between the frequency of the care team's review and documentation of steps, with median total step count adjusting for age, gender, LACE score, and medicine/surgical service line. Whereas linear regression allows one to describe how the mean of a given outcome changes with respect to some set of covariates in circumstances where data are normally distributed, quantile regression allows one to assess how a set of covariates are related to a prespecified quantile (eg, 50% percentile median) of an outcome distribution. This modeling is especially appropriate here, because step count data are not normally distributed. Because step counts can vary with a number of factors, such as age and principal admitting and discharge diagnoses, we stratified our analyses by age (<65 or 65 years) and service lines (medical or surgical) due to the relatively small numbers of patients in each of the diagnostic groupings. Statistical analyses were performed using SAS version 9.3 (SAS Institute Inc., Cary, NC); P values <0.05 were considered statistically significant.

RESULTS

A total of 1667 patients wore the activity sensor during their hospital stay. We included 777 patients in our analysis who had lengths of stay long enough for 24 hours of continuous monitoring, and almost half of these patients had at least 48 hours of monitoring (n=378). The demographic and clinical characteristics of the sample are detailed in Table 1. The sample included mostly medical patients (77%), with a mean age of 6017 years, 57% females, and 55% nonwhites. Nearly all patients (97%) were classified as ambulatory at discharge based on the EMR data. Approximately 44% of the sensors were lost, mostly due to nursing staff forgetting to remove the devices at discharge; device failure was minimal (n=10).

Sample Characteristics of Patients With 24 Hours of Monitoring Discharged to Home (n=777)
Variables Value
  • NOTE: Data are presented as either meanstandard deviation or count (%).Preadmission level of function that was documented closest to admission time was used. The modal current level of function score in last 24 hours prior to discharge was used. LACE is the readmission risk score based on length of stay (L); acuity of the admission (A); comorbidity of the patient (measured with the Charlson comorbidity index score) (C); and emergency department use (measured as the number of visits in the six months before admission) (E). *Other categories include complications of pregnancy/childbirth, hematologic, other musculoskeletal and skin/subcutaneous disorders, injuries and poisoning, mental illness, other ill‐defined conditions.

Sociodemographics
Age
1840 years 111 (15%)
4165 years 325 (42%)
6575 years 187 (24%)
75 years 151 (19%)
Females 444 (57%)
Race/ethnicity
White 349 (45%)
Hispanics 277 (35%)
African American 101 (13%)
Asian/Pacific Islander 37 (5%)
Other 13 (2%)
Marital status
Partnered 435 (56%)
Unpartnered 332 (43%)
Other/unknown 10 (1%)
Clinical characteristics
Medical (principal discharge diagnoses)
Cardiovascular 116 (15%)
Respiratory 84 (11%)
Gastrointestinal 122 (16%)
Genitourinary 31 (4%)
Metabolic/electrolytes 26 (3%)
Septicemia 92 (12%)
Nervous system 21 (3%)
Cancer/malignancies 13 (1%)
Other* 103 (13%)
Surgical
Orthopedic surgery 60 (8%)
Other surgeries 109 (14%)
LACE score 9.33.5
Charlson index
01 665 (85%)
23 98 (13%)
4+ 14 (2%)
Length of stay, d 3.983.80
Body mass index 30.27.5
Functional status
Preadmission level of function
1, bed bound 3 (0.5%)
2, able to sit 6 (1%)
3, stand next to bed 3 (0.5%)
4, walk <50 feet 113 (14%)
5, walk >50 feet 651 (84%)
Missing 1 (0%)
Current level of function
1, bed bound 1 (0%)
2, able to sit 6 (1%)
3, stand next to bed 7 (1%)
4, walk <50 feet 320 (41%)
5, walk >50 feet 434 (56%)
Missing 9 (1%)

Patients accrued a median of 1158 (interquartile range: 6362238) steps over the 24 hours prior to discharge to home (Table 2). Approximately 13 (2%) patients registered zero steps in the last 24 hours; this may have been due to patients truly not accruing any steps, device failure, or the device was registered but never worn by the patient. Patients who were 65 years and older on both the medicine and surgical services accrued fewer steps compared to younger patients (962 vs 1294, P<0.0001). For patients who had at least 48 hours of continuous monitoring (n=378), there was a median increase of 377 steps from the first 24 hours from admission to the unit to the final 24 hours prior to discharge (811 steps to 1188 steps, P<0.0001) (Table 3 and Figure 1). The average length of stay for these patients was 5.74.9 days. Despite the longer length of stay, the level of ambulation at discharge was similar to patients with shorter stays. This is further illustrated in Figure 2 in the spaghetti plots of total steps over 4, 24‐hour monitoring increments. Ignoring the outliers, the plots suggest the following: (1) step counts tended to increase or stay about the same over the course of a hospitalization; and (2) for the medicine service line, step counts in the final 24 hours prior to discharge for patients with longer lengths of stay (72 or 96 hours) did not appear to be substantially different from patients with shorter lengths of stay. The data for the surgical patients are either too sparse or erratic to make any firm conclusions. Patients accrued steps throughout the day with the highest percentage of steps logged at approximately 6 am and 6 pm; these data are based on time stamps from the device, not the time of data transfer or documentation in the EMR (Figure 3).

Total Step Count in the Last 24 Hours Prior to Discharge to Home for Patients With 24 Hours of Monitoring
Service Total Steps Last 24 Hours
Mean SD Median
  • NOTE: Abbreviations: SD, standard deviation.

Medicine
<65 years old (n=321) 1,972 1,995 1,284
65 years old (n=287) 1,367 1,396 968
Surgical
<65 years old (n=118) 2,238 2,082 1,378
65 years old (n=51) 1,485 1,647 890
Total (n=777) 1,757 1,818 1,158
Total Step Count in the First 24 Hours of Admission to the Medical‐Surgical Unit and Last 24 Hours Prior to Discharge to Home for Patients With 48 Hours of Monitoring
Service Total Steps
First 24 Hours Last 24 Hours
Mean SD Median Mean SD Median
  • NOTE: Abbreviations: SD, standard deviation.

Medicine
<65 years old (n=168) 1,427 1,690 953 2,005 2,006 1,287
65 years old (n=127) 1,004 1,098 676 1,260 1,291 904
Surgical
<65 years old (n=53) 1,722 1,696 1060 2,553 2,142 1,882
65 years old (n=30) 1,184 1,470 704 1,829 1,996 1,053
Total (n=378) 1,307 1,515 811 1,817 1,864 1,188
Figure 1
Box plots of total step counts in the first 24 hours of admission to the medical‐surgical unit and last 24 hours prior to discharge to home for patients with ≥48 hours of monitoring by age and service line.
Figure 2
Spaghetti plots of total step counts for each 24‐hour monitoring period by age (<65 and ≥65 years) and service line (medical or surgical). Sample sizes are as follows: 24 hours (black dots, n = 399), 48 hours (red lines, n = 190), 72 hours (green lines, n = 80), 96 hours (blue lines, n = 108).
Figure 3
Distribution of step counts by percentage of accrued steps over 24 hours prior to discharge.

More frequent documentation of step counts in the EMR (proxy for step count data retrieval and review from the vendor web site) by the care team was associated with higher total step counts after adjustments for relevant covariates (P0.001); 3 or more documentations over a 24‐hour period appears to be a minimal frequency to achieving approximately 200 steps more than the median value (Table 4).

Association Between Frequency of Step Count Documentation in the EMR and Total Step Counts in the Last 24 Hours Prior to Discharge to Home for Those With at Least 24 Hours of Observation
Service Frequency of Documentation of Step Counts in EMR Over 24 Hours P Value Trenda Adjusted P Valueb
0 1 2 3 4
  • NOTE: Abbreviations: EMR, electronic medical record; SD, standard deviation.

  • P value for trend (quantile regression for median step counts).

  • Adjusted for age, gender, LACE score (readmission risk score based on length of stay (L); acuity of the admission (A); comorbidity of the patient (measured with the Charlson comorbidity index score) (C); and emergency department use (measured as the number of visits in the six months before admission) (E), and service line (medicine/surgical) where relevant.

Medicine
<65 years old (n=321) MeanSD 1,4051,414 2,4152,037 2,0101,929 1,9811,907 2,7412,876
Median 1,056 1,514 1284 1,196 1,702 0.004 0.003
N (%) 83 (26%) 109 (34%) 71 (22%) 25 (8%) 33 (10%)
65 years old (n=287) MeanSD 1,3481,711 1,1991428 1,290951 1,5291,180 1,8781,214
Median 850 773 999 1,278 1,498 0.07 0.10
N (%) 85 (30%) 82 (28%) 66 (23%) 20 (7%) 34 (12%)
Surgical
<65 years old (n=118) MeanSD 2,0772,001 1,8591,598 2,6182,536 2,3122,031 3,8022,979
Median 1,361 1,250 1,181 1,719 3,149 0.06 0.05
N (%) 42 (35%) 36 (31%) 18 (15%) 14 (12%) 8 (7%)
65 years old (n=51) MeanSD 2,0032,254 1,4781,603 1,1651,246 478 1,219469
Median 1,028 820 672 478 1,426 0.20 0.15
N (%) 13 (26%) 19 (37%) 15 (29%) 1 (2%) 3 (6%)
Total (n=777) MeanSD 1,5441,717 1,7361,799 1,7201,699 1,8831720 2,4152,304
Median 1,012 1,116 1,124 1,314 1,557 <0.001 <0.001
N (%) 223 (29%) 246 (31%) 170 (22%) 60 (8%) 78 (10%)

DISCUSSION

We found that ambulatory medical‐surgical patients accrued a median of 1158 total steps in the 24 hours prior to their discharge home, which translates to walking approximately 500 meters; older patients accrued fewer steps compared to younger patients. In patients with longer length of stay, the level of ambulation at discharge was similar to patients with shorter stays, suggesting there may be an ambulation threshold (1100 steps) that patients achieve regardless of the length of stay before they are discharged home. In addition, patients whose care team reviewed and documented step counts at least 3 times over a 24‐hour period accrued significantly more steps than patients whose care team made fewer documentations.

The median step counts accrued by surgical patients in our study are similar to that found in Cook and colleagues'[14] report of patients after elective cardiac surgery using another popular consumer‐grade accelerometer. The providers in that study also had access to the data via a dashboard, but it was not clear how this information was used. Brown et al.[12] conducted the first study to objectively monitor mobility using 2 accelerometers in 45 older male veterans who had no prior mobility impairment, and found that patients spent 83% of their hospitalization lying in bed. The veterans spent about 3% of the time (43 minutes per day) standing or walking over a mean length of stay of 5 days. In a similar study with 43 older Dutch patients who had an average length of stay of 7 days, Pedersen et al.[10] found that patients spent 71% of their time lying, 21% sitting, and 4% standing or walking. Unfortunately, neither the Brown et al. nor Pedersen et al. studies were able to distinguish between standing and ambulatory activities. In a more recent study of 47 patients on medical‐surgical units at 2 hospitals that relied on time and motion observation methods, the mean duration for ambulation was <2 minutes during an 8‐hour period.[13]

We took advantage of the variability in the nursing documentation of step counts in the EMR to determine if there was a dose‐response relationship between the frequency of nursing documentation in a 24‐hour period and number of steps patients accrued. We hypothesized that if nurses make an effort to retrieve data from the vendor website and manually key in the step counts in the EMR, they are more likely to incorporate this information in their nursing care, share the information with patients and other clinicians, and therefore create a positive feedback loop for greater ambulation. Although our findings suggest a positive association between more frequent documentation and increased step counts, we cannot exclude the possibility that nurses naturally modulate the frequency with which they review and document step counts based on their overall judgment of the patients' mobility status (ie, patients who are more functionally impaired are assumed to accrue fewer steps over a shift, and therefore, nurses are less inclined to retrieve and document the information frequently). Future studies could prospectively examine what the optimal frequency for review and feedback of step counts is during a typical 8‐ or 12‐hour nursing shift for both patients and the nursing care team to promote ambulation.

A major strength of our study is the collection of objective ambulation data on a large inpatient sample by clinical staff as part of routine nursing care. This strength is balanced with several limitations. Due to the temporal pattern associated with ambulation, we were only able to analyze data for patients who had at least 24 hours of continuous monitoring. This could affect the generalizability of our findings, though we believe there is limited pragmatic value in closely tracking ambulation in patients who have such short stays. There was substantial variability in the step counts, reflecting the mix of medical versus surgical patients and their age, with very small samples available for meaningful subgroup analyses other than what we have presented. We were not able to measure other dimensions of mobility such as transfers or sitting in a chair, because the sensor is designed to only measure steps. In addition, we lost a large number of devices, mostly due to staff forgetting to remove the devices from patients' ankles at discharge. Finally, because we did not blind the nurses and patients to the step count data, the preliminary normative step counts that we present in this article may be higher than expected in patients cared for on medical‐surgical units.

In summary, we found that it is possible to measure ambulation objectively and reliably in hospitalized patients, and have provided preliminary normative step counts for a representative but heterogeneous medical‐surgical population. We also found that most patients who were discharged were ambulating at least 1100 steps over the 24 hours prior to leaving the hospital, regardless of their length of stay. This might suggest that step counts could be a useful parameter in determining readiness for hospital discharge. Our data also suggest that more frequent, objective monitoring of step counts by the nursing care team was associated with patients ambulating more. Both of these findings deserve further exploration. Future studies will need to be conducted on larger samples of medical and surgical hospitalized patients to adequately establish more refined step count norms for specific clinical populations, but especially for older patients, because this age group is at a particularly higher risk of poor functional outcomes with hospitalization. Having accurate and reliable information on ambulation is fundamental to any effort to improve ambulation in hospitalized patients. Moreover, knowing the normative range for step counts in the last 24 hours prior to discharge across specific clinical and age subgroups, could assist with discharge planning and provision of appropriate rehabilitative services in the home or community for safe transitions out of the hospital.[17]

Acknowledgements

The authors express their gratitude to the patients and nurses at the Kaiser Permanente Southern California, Ontario Medical Center.

Disclosures: Funded by the Kaiser Permanente Southern California Care Improvement Research Team. Dr. Sallis contributed substantially to the study design, interpretation, and preparation of this article. Ms. Sturm and Chijioke contributed to the interpretation and preparation of this article. Dr. Kanter contributed to study design, interpretation, and preparation of this article. Mr. Huang contributed to the analysis, interpretation, and preparation of this article. Dr. Shen contributed to study design, analysis, interpretation, and preparation of this article. Dr. Nguyen had full access to the data and led the design, analysis, interpretation, and preparation of this article. Dr. Nguyen had full access to the data and will vouch for the integrity of the work as a whole, from inception to published article. The authors have no funding, financial relationships, or conflicts of interest to disclose.

References
  1. Brown CJ, Friedkin RJ, Inouye SK. Prevalence and outcomes of low mobility in hospitalized older patients. J Am Geriatr Soc. 2004;52(8):12631270.
  2. Zisberg A, Shadmi E, Sinoff G, Gur‐Yaish N, Srulovici E, Admi H. Low mobility during hospitalization and functional decline in older adults. J Am Geriatr Soc. 2011;59(2):266273.
  3. Hirsch CH, Sommers L, Olsen A, Mullen L, Winograd CH. The natural history of functional morbidity in hospitalized older patients. J Am Geriatr Soc. 1990;38(12):12961303.
  4. Fisher SR, Kuo YF, Graham JE, Ottenbacher KJ, Ostir GV. Early ambulation and length of stay in older adults hospitalized for acute illness. Arch Intern Med. 2010;170(21):19421943.
  5. Adler J, Malone D. Early mobilization in the intensive care unit: a systematic review. Cardiopulm Phys Ther J. 2012;23(1):513.
  6. Kalisch BJ, Lee S, Dabney BW. Outcomes of inpatient mobilization: a literature review. J Clin Nurs. 2014;23(11–12):14861501.
  7. Greening NJ, Williams JE, Hussain SF, et al. An early rehabilitation intervention to enhance recovery during hospital admission for an exacerbation of chronic respiratory disease: randomised controlled trial. BMJ. 2014;349:g4315.
  8. Morton NA, Keating JL, Berlowitz DJ, Jackson B, Lim WK. Additional exercise does not change hospital or patient outcomes in older medical patients: a controlled clinical trial. Aust J Physiother. 2007;53(2):105111.
  9. Morton NA, Keating JL, Jeffs K. Exercise for acutely hospitalised older medical patients. Cochrane Database Syst Rev. 2007;(1):CD005955.
  10. Pedersen MM, Bodilsen AC, Petersen J, et al. Twenty‐four‐hour mobility during acute hospitalization in older medical patients. J Gerontol A Biol Sci Med Sci. 2013;68(3):331337.
  11. Ostir GV, Berges IM, Kuo YF, Goodwin JS, Fisher SR, Guralnik JM. Mobility activity and its value as a prognostic indicator of survival in hospitalized older adults. J Am Geriatr Soc. 2013;61(4):551557.
  12. Brown CJ, Redden DT, Flood KL, Allman RM. The underrecognized epidemic of low mobility during hospitalization of older adults. J Am Geriatr Soc. 2009;57(9):16601665.
  13. Doherty‐King B, Yoon JY, Pecanac K, Brown R, Mahoney J. Frequency and duration of nursing care related to older patient mobility. J Nurs Scholarsh. 2014;46(1):2027.
  14. Cook DJ, Thompson JE, Prinsen SK, Dearani JA, Deschamps C. Functional recovery in the elderly after major surgery: assessment of mobility recovery using wireless technology. Ann Thorac Surg. 2013;96(3):10571061.
  15. Walraven C, Dhalla IA, Bell C, et al. Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community. CMAJ. 2010;182(6):551557.
  16. Koenker R, Hallock K. Quantile regression: an introduction. J Econ Perspect. 2001;15(4):4356.
  17. Krumholz HM. Post‐hospital syndrome—an acquired, transient condition of generalized risk. N Engl J Med. 2013;368(2):100102.
References
  1. Brown CJ, Friedkin RJ, Inouye SK. Prevalence and outcomes of low mobility in hospitalized older patients. J Am Geriatr Soc. 2004;52(8):12631270.
  2. Zisberg A, Shadmi E, Sinoff G, Gur‐Yaish N, Srulovici E, Admi H. Low mobility during hospitalization and functional decline in older adults. J Am Geriatr Soc. 2011;59(2):266273.
  3. Hirsch CH, Sommers L, Olsen A, Mullen L, Winograd CH. The natural history of functional morbidity in hospitalized older patients. J Am Geriatr Soc. 1990;38(12):12961303.
  4. Fisher SR, Kuo YF, Graham JE, Ottenbacher KJ, Ostir GV. Early ambulation and length of stay in older adults hospitalized for acute illness. Arch Intern Med. 2010;170(21):19421943.
  5. Adler J, Malone D. Early mobilization in the intensive care unit: a systematic review. Cardiopulm Phys Ther J. 2012;23(1):513.
  6. Kalisch BJ, Lee S, Dabney BW. Outcomes of inpatient mobilization: a literature review. J Clin Nurs. 2014;23(11–12):14861501.
  7. Greening NJ, Williams JE, Hussain SF, et al. An early rehabilitation intervention to enhance recovery during hospital admission for an exacerbation of chronic respiratory disease: randomised controlled trial. BMJ. 2014;349:g4315.
  8. Morton NA, Keating JL, Berlowitz DJ, Jackson B, Lim WK. Additional exercise does not change hospital or patient outcomes in older medical patients: a controlled clinical trial. Aust J Physiother. 2007;53(2):105111.
  9. Morton NA, Keating JL, Jeffs K. Exercise for acutely hospitalised older medical patients. Cochrane Database Syst Rev. 2007;(1):CD005955.
  10. Pedersen MM, Bodilsen AC, Petersen J, et al. Twenty‐four‐hour mobility during acute hospitalization in older medical patients. J Gerontol A Biol Sci Med Sci. 2013;68(3):331337.
  11. Ostir GV, Berges IM, Kuo YF, Goodwin JS, Fisher SR, Guralnik JM. Mobility activity and its value as a prognostic indicator of survival in hospitalized older adults. J Am Geriatr Soc. 2013;61(4):551557.
  12. Brown CJ, Redden DT, Flood KL, Allman RM. The underrecognized epidemic of low mobility during hospitalization of older adults. J Am Geriatr Soc. 2009;57(9):16601665.
  13. Doherty‐King B, Yoon JY, Pecanac K, Brown R, Mahoney J. Frequency and duration of nursing care related to older patient mobility. J Nurs Scholarsh. 2014;46(1):2027.
  14. Cook DJ, Thompson JE, Prinsen SK, Dearani JA, Deschamps C. Functional recovery in the elderly after major surgery: assessment of mobility recovery using wireless technology. Ann Thorac Surg. 2013;96(3):10571061.
  15. Walraven C, Dhalla IA, Bell C, et al. Derivation and validation of an index to predict early death or unplanned readmission after discharge from hospital to the community. CMAJ. 2010;182(6):551557.
  16. Koenker R, Hallock K. Quantile regression: an introduction. J Econ Perspect. 2001;15(4):4356.
  17. Krumholz HM. Post‐hospital syndrome—an acquired, transient condition of generalized risk. N Engl J Med. 2013;368(2):100102.
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Stepping toward discharge: Level of ambulation in hospitalized patients
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Address for correspondence and reprint requests: Huong Nguyen, PhD, Department of Research and Evaluation, Kaiser Permanente Southern California, 100 S. Los Robles, Pasadena, CA 91101; Telephone: 626‐564‐3935; Fax: 626‐564‐39648; E‐mail: [email protected]
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Inpatients With Poor Vision

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Insights into inpatients with poor vision: A high value proposition

Vision impairment is an under‐recognized risk factor for adverse events among hospitalized patients.[1, 2, 3] Inpatients with poor vision are at increased risk for falls and delirium[1, 3] and have more difficulty taking medications.[4, 5] They may also be at risk for being unable to read critical health information, including consent forms and discharge instructions, or decreased quality of life such as simply ordering food from menus. However, vision is neither routinely tested nor documented for inpatients. Low‐cost ($8 and up) nonprescription reading glasses, known as readers may be a simple, high‐value intervention to improve inpatients' vision. We aimed to study initial feasibility and efficacy of screening and correcting inpatients' vision.

METHODS

From June 2012 through January 2014, research assistants (RAs) identified eligible (adults [18 years], English speaking) participants daily from electronic medical records as part of an ongoing study of general medicine inpatients measuring quality‐of‐care at the University of Chicago Medicine.[6] RAs tested visual acuity using Snellen pocket charts (participants wore corrective lenses if available). For eligible participants, readers were tested with sequential fitting (+2/+2.25/+2.75/+3.25) until vision was corrected (sufficient vision: at least 20/50 acuity in at least 1 eye).[7] Eligible participants included those with insufficient vision who were not already wearing corrective lenses and had no documented blindness or medically severe vision loss, for whom nonprescription readers would be unlikely to correct vision deficiencies such as cataracts or glaucoma. The study was approved by the University of Chicago Institutional Review Board (IRB #9967).

Of note, although readers are typically used in populations over 40 years of age, readers were fitted for all participants to assess their utility for any hospitalized adult patient. Upon completing the vision screening and readers interventions, participants received instruction on how to access vision care and how to obtain readers (if they corrected vision) after hospital discharge.

Descriptive statistics and tests of comparison, including t tests and [2] tests, were used when appropriate. All analyses were performed using Stata version 12 (StataCorp, College Station, TX).

RESULTS

Over 800 participants' vision was screened (n=853); the majority were female (56%, 480/853), African American (76%, 650/853), with a mean age of 53.4 years (standard deviation 18.7), consistent with our study site's demographics. Over one‐third (36%, 304/853) of participants had insufficient vision. Older (65 years) participants (56%, 136/244) were more likely to have insufficient vision than younger participants (28%, 168/608; P<0.001).

Participants with insufficient vision were wearing their own corrective lenses during the testing (150/304, 49%), did not use corrective lenses (53/304, 17%), or were without available corrective lenses (99/304, 33%) (Figure 1A).

Figure 1
(A) The proportion of patients screened with insufficient vision. (B) The proportion of eligible patients with vision corrected by readers. Note: percentages may not add to 100 due to rounding.

One‐hundred sixteen of 304 participants approached for the readers intervention were eligible (112 reported medical eye disease, 65 were wearing lenses, and 11 refused or were discharged before intervention implementation).

Nonprescription readers corrected the majority of eligible participants' vision (82%, 95/116). Most participants' (81/116, 70%) vision was corrected using the 2 lowest calibration readers (+2/+2.25); another 14 participants' (12%) vision was corrected with higher‐strength lenses (+2.75/+3.25) (Figure 1B)

DISCUSSION

We found that over one‐third of the inpatients we examined have poor vision. Furthermore, among an easily identified subgroup of inpatients with poor vision, low‐cost readers successfully corrected most participants' vision. Although preventive health is not commonly considered an inpatient issue, hospitalists and other clinicians working in the inpatient setting can play an important role in identifying opportunities to provide high‐value care related to patients' vision.

Several important ethical, safety, and cost considerations related to these findings exist. Hospitalized patients commonly sign written informed consent; therefore, due diligence to ensure patients' ability to read and understand the forms is imperative. Further, inpatient delirium is common, particularly among older patients.[8] Existing or new onset delirium occurs in up to 24% to 35% of elderly inpatients.[8] Vision is an important risk factor for multifactorial inpatient delirium, and early vision correction has been shown to improve delirium rates, as part of a multicomponent intervention.[9] Hospital‐related patient costs per delirium episode have been estimated at $16,303 to $64,421.[10] The cost of a multicomponent intervention was $6341 per case of delirium prevented,[9] whereas only 1 potentially critical component, the cost of readers ($8+), would pale in comparison.[1] Vision screening takes approximately 2.25 minutes plus 2 to 6 minutes for the readers' assessment, with little training and high fidelity. Therefore, this easily implemented, potentially cost saving, intervention targeting inpatients with poor vision may improve patient safety and quality of life in the hospital and even after discharge.

Limitations of the study include considerations of generalizability, as participants were from a single, urban, academic medical center. Additionally, long‐term benefits of the readers intervention were not assessed in this study. Finally, RAs provided the assessments; therefore, further work is required to determine costs of efficient large‐scale clinical implementation through nurse‐led programs.

Despite these study limitations, the surprisingly high prevalence of poor vision among inpatients is a call to action for hospitalists. Future work should investigate the impact and cost of vision correction on hospital outcomes such as patient satisfaction, reduced rehospitalizations, and decreased delirium.[11]

Acknowledgements

The authors thank several individuals for their assistance with this project. Andrea Flores, MA, Senior Programmer, helped with programming and data support. Kristin Constantine, BA, Project Manager, helped with developing and implementing the database for this project. Edward Kim, BA, Project Manager, helped with management of the database and data collection. The authors also thank Ainoa Coltri and the Hospitalist Project research assistants for assistance with data collection, Frank Zadravecz, MPH, for assistance with the creation of figures, and Nicole Twu, MS, for assistance with the project. The authors thank other students who helped to collect data for this project, including Allison Louis, Victoria Moreira, and Esther Schoenfeld.

Disclosures: Dr. Press is supported by a career development award from the National Heart Lung and Blood Institute (NIH K23HL118151). A pilot award from The Center on the Demography and Economics of Aging (CoA, National Institute of Aging P30 AG012857) supported this project. Dr. Matthiesen and Ms. Ranadive received support from the Summer Research Program funded by the National Institutes on Aging Short‐Term Aging‐Related Research Program (T35AG029795). Dr. Matthiesen also received funding from the Calvin Fentress Fellowship Program. Dr. Hariprasad reports being a consultant or participating on a speaker's bureau for Alcon, Allergan, Regeneron, Genentech, Optos, OD‐OS, Bayer, Clearside Biomedical, and Ocular Therapeutix. Dr. Meltzer received funding from the National Institutes on Aging Short‐Term Aging‐Related Research Program (T35AG029795), and from the Agency for Healthcare Quality and Research through the Hospital Medicine and Economics Center for Education and Research in Therapeutics (U18 HS016967‐01), and from the National Institute of Aging through a Midcareer Career Development Award (K24 AG031326‐01), from the National Cancer Institute (KM1 CA156717), and from the National Center for Advancing Translational Science (2UL1TR000430‐06). Dr. Arora received funding from the National Institutes on Aging Short‐Term Aging‐Related Research Program (T35AG029795) and National Institutes on Aging (K23AG033763).

Files
References
  1. Oliver D, Daly F, Martin FC, McMurdo ME. Risk factors and risk assessment tools for falls in hospital in‐patients: a systematic review. Age Ageing. 2004;33(2):122130.
  2. Press VG, Shapiro MI, Mayo AM, Meltzer DO, Arora VM. More than meets the eye: relationship between low health literacy and poor vision in hospitalized patients. J Health Commun. 2013;18(suppl 1):197204.
  3. Inouye SK, Zhang Y, Jones RN, Kiely DK, Yang F, Marcantonio ER. Risk factors for delirium at discharge: development and validation of a predictive model. Arch Intern Med. 2007;167(13):14061413.
  4. Press VG, Arora VM, Shah LM, et al. Misuse of respiratory inhalers in hospitalized patients with asthma or COPD. J Gen Intern Med. 2011;26(6):635642.
  5. Beckman AG, Parker MG, Thorslund M. Can elderly people take their medicine? Patient Educ Couns. 2005;59(2):186191.
  6. Meltzer D, Manning WG, Morrison J, et al. 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):866874.
  7. Kaiser PK. Prospective evaluation of visual acuity assessment: a comparison of Snellen versus ETDRS charts in clinical practice (An AOS Thesis). Trans Am Ophthalmol Soc. 2009;107:311324.
  8. Levkoff SE, Evans DA, Liptzin B, et al. Delirium. The occurrence and persistence of symptoms among elderly hospitalized patients. Arch Intern Med. 1992;152(2):334340.
  9. Inouye SK, Bogardus ST, Charpentier PA, et al. A multicomponent intervention to prevent delirium in hospitalized older patients. N Engl J Med. 1999;340(9):669676.
  10. Leslie DL, Marcantonio ER, Zhang Y, Leo‐Summers L, Inouye SK. One‐year health care costs associated with delirium in the elderly population. Arch Intern Med. 2008;168(1):2732.
  11. Whitson HE, Whitaker D, Potter G, et al. A low‐vision rehabilitation program for patients with mild cognitive deficits. JAMA Ophthalmol. 2013;131(7):912919.
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Vision impairment is an under‐recognized risk factor for adverse events among hospitalized patients.[1, 2, 3] Inpatients with poor vision are at increased risk for falls and delirium[1, 3] and have more difficulty taking medications.[4, 5] They may also be at risk for being unable to read critical health information, including consent forms and discharge instructions, or decreased quality of life such as simply ordering food from menus. However, vision is neither routinely tested nor documented for inpatients. Low‐cost ($8 and up) nonprescription reading glasses, known as readers may be a simple, high‐value intervention to improve inpatients' vision. We aimed to study initial feasibility and efficacy of screening and correcting inpatients' vision.

METHODS

From June 2012 through January 2014, research assistants (RAs) identified eligible (adults [18 years], English speaking) participants daily from electronic medical records as part of an ongoing study of general medicine inpatients measuring quality‐of‐care at the University of Chicago Medicine.[6] RAs tested visual acuity using Snellen pocket charts (participants wore corrective lenses if available). For eligible participants, readers were tested with sequential fitting (+2/+2.25/+2.75/+3.25) until vision was corrected (sufficient vision: at least 20/50 acuity in at least 1 eye).[7] Eligible participants included those with insufficient vision who were not already wearing corrective lenses and had no documented blindness or medically severe vision loss, for whom nonprescription readers would be unlikely to correct vision deficiencies such as cataracts or glaucoma. The study was approved by the University of Chicago Institutional Review Board (IRB #9967).

Of note, although readers are typically used in populations over 40 years of age, readers were fitted for all participants to assess their utility for any hospitalized adult patient. Upon completing the vision screening and readers interventions, participants received instruction on how to access vision care and how to obtain readers (if they corrected vision) after hospital discharge.

Descriptive statistics and tests of comparison, including t tests and [2] tests, were used when appropriate. All analyses were performed using Stata version 12 (StataCorp, College Station, TX).

RESULTS

Over 800 participants' vision was screened (n=853); the majority were female (56%, 480/853), African American (76%, 650/853), with a mean age of 53.4 years (standard deviation 18.7), consistent with our study site's demographics. Over one‐third (36%, 304/853) of participants had insufficient vision. Older (65 years) participants (56%, 136/244) were more likely to have insufficient vision than younger participants (28%, 168/608; P<0.001).

Participants with insufficient vision were wearing their own corrective lenses during the testing (150/304, 49%), did not use corrective lenses (53/304, 17%), or were without available corrective lenses (99/304, 33%) (Figure 1A).

Figure 1
(A) The proportion of patients screened with insufficient vision. (B) The proportion of eligible patients with vision corrected by readers. Note: percentages may not add to 100 due to rounding.

One‐hundred sixteen of 304 participants approached for the readers intervention were eligible (112 reported medical eye disease, 65 were wearing lenses, and 11 refused or were discharged before intervention implementation).

Nonprescription readers corrected the majority of eligible participants' vision (82%, 95/116). Most participants' (81/116, 70%) vision was corrected using the 2 lowest calibration readers (+2/+2.25); another 14 participants' (12%) vision was corrected with higher‐strength lenses (+2.75/+3.25) (Figure 1B)

DISCUSSION

We found that over one‐third of the inpatients we examined have poor vision. Furthermore, among an easily identified subgroup of inpatients with poor vision, low‐cost readers successfully corrected most participants' vision. Although preventive health is not commonly considered an inpatient issue, hospitalists and other clinicians working in the inpatient setting can play an important role in identifying opportunities to provide high‐value care related to patients' vision.

Several important ethical, safety, and cost considerations related to these findings exist. Hospitalized patients commonly sign written informed consent; therefore, due diligence to ensure patients' ability to read and understand the forms is imperative. Further, inpatient delirium is common, particularly among older patients.[8] Existing or new onset delirium occurs in up to 24% to 35% of elderly inpatients.[8] Vision is an important risk factor for multifactorial inpatient delirium, and early vision correction has been shown to improve delirium rates, as part of a multicomponent intervention.[9] Hospital‐related patient costs per delirium episode have been estimated at $16,303 to $64,421.[10] The cost of a multicomponent intervention was $6341 per case of delirium prevented,[9] whereas only 1 potentially critical component, the cost of readers ($8+), would pale in comparison.[1] Vision screening takes approximately 2.25 minutes plus 2 to 6 minutes for the readers' assessment, with little training and high fidelity. Therefore, this easily implemented, potentially cost saving, intervention targeting inpatients with poor vision may improve patient safety and quality of life in the hospital and even after discharge.

Limitations of the study include considerations of generalizability, as participants were from a single, urban, academic medical center. Additionally, long‐term benefits of the readers intervention were not assessed in this study. Finally, RAs provided the assessments; therefore, further work is required to determine costs of efficient large‐scale clinical implementation through nurse‐led programs.

Despite these study limitations, the surprisingly high prevalence of poor vision among inpatients is a call to action for hospitalists. Future work should investigate the impact and cost of vision correction on hospital outcomes such as patient satisfaction, reduced rehospitalizations, and decreased delirium.[11]

Acknowledgements

The authors thank several individuals for their assistance with this project. Andrea Flores, MA, Senior Programmer, helped with programming and data support. Kristin Constantine, BA, Project Manager, helped with developing and implementing the database for this project. Edward Kim, BA, Project Manager, helped with management of the database and data collection. The authors also thank Ainoa Coltri and the Hospitalist Project research assistants for assistance with data collection, Frank Zadravecz, MPH, for assistance with the creation of figures, and Nicole Twu, MS, for assistance with the project. The authors thank other students who helped to collect data for this project, including Allison Louis, Victoria Moreira, and Esther Schoenfeld.

Disclosures: Dr. Press is supported by a career development award from the National Heart Lung and Blood Institute (NIH K23HL118151). A pilot award from The Center on the Demography and Economics of Aging (CoA, National Institute of Aging P30 AG012857) supported this project. Dr. Matthiesen and Ms. Ranadive received support from the Summer Research Program funded by the National Institutes on Aging Short‐Term Aging‐Related Research Program (T35AG029795). Dr. Matthiesen also received funding from the Calvin Fentress Fellowship Program. Dr. Hariprasad reports being a consultant or participating on a speaker's bureau for Alcon, Allergan, Regeneron, Genentech, Optos, OD‐OS, Bayer, Clearside Biomedical, and Ocular Therapeutix. Dr. Meltzer received funding from the National Institutes on Aging Short‐Term Aging‐Related Research Program (T35AG029795), and from the Agency for Healthcare Quality and Research through the Hospital Medicine and Economics Center for Education and Research in Therapeutics (U18 HS016967‐01), and from the National Institute of Aging through a Midcareer Career Development Award (K24 AG031326‐01), from the National Cancer Institute (KM1 CA156717), and from the National Center for Advancing Translational Science (2UL1TR000430‐06). Dr. Arora received funding from the National Institutes on Aging Short‐Term Aging‐Related Research Program (T35AG029795) and National Institutes on Aging (K23AG033763).

Vision impairment is an under‐recognized risk factor for adverse events among hospitalized patients.[1, 2, 3] Inpatients with poor vision are at increased risk for falls and delirium[1, 3] and have more difficulty taking medications.[4, 5] They may also be at risk for being unable to read critical health information, including consent forms and discharge instructions, or decreased quality of life such as simply ordering food from menus. However, vision is neither routinely tested nor documented for inpatients. Low‐cost ($8 and up) nonprescription reading glasses, known as readers may be a simple, high‐value intervention to improve inpatients' vision. We aimed to study initial feasibility and efficacy of screening and correcting inpatients' vision.

METHODS

From June 2012 through January 2014, research assistants (RAs) identified eligible (adults [18 years], English speaking) participants daily from electronic medical records as part of an ongoing study of general medicine inpatients measuring quality‐of‐care at the University of Chicago Medicine.[6] RAs tested visual acuity using Snellen pocket charts (participants wore corrective lenses if available). For eligible participants, readers were tested with sequential fitting (+2/+2.25/+2.75/+3.25) until vision was corrected (sufficient vision: at least 20/50 acuity in at least 1 eye).[7] Eligible participants included those with insufficient vision who were not already wearing corrective lenses and had no documented blindness or medically severe vision loss, for whom nonprescription readers would be unlikely to correct vision deficiencies such as cataracts or glaucoma. The study was approved by the University of Chicago Institutional Review Board (IRB #9967).

Of note, although readers are typically used in populations over 40 years of age, readers were fitted for all participants to assess their utility for any hospitalized adult patient. Upon completing the vision screening and readers interventions, participants received instruction on how to access vision care and how to obtain readers (if they corrected vision) after hospital discharge.

Descriptive statistics and tests of comparison, including t tests and [2] tests, were used when appropriate. All analyses were performed using Stata version 12 (StataCorp, College Station, TX).

RESULTS

Over 800 participants' vision was screened (n=853); the majority were female (56%, 480/853), African American (76%, 650/853), with a mean age of 53.4 years (standard deviation 18.7), consistent with our study site's demographics. Over one‐third (36%, 304/853) of participants had insufficient vision. Older (65 years) participants (56%, 136/244) were more likely to have insufficient vision than younger participants (28%, 168/608; P<0.001).

Participants with insufficient vision were wearing their own corrective lenses during the testing (150/304, 49%), did not use corrective lenses (53/304, 17%), or were without available corrective lenses (99/304, 33%) (Figure 1A).

Figure 1
(A) The proportion of patients screened with insufficient vision. (B) The proportion of eligible patients with vision corrected by readers. Note: percentages may not add to 100 due to rounding.

One‐hundred sixteen of 304 participants approached for the readers intervention were eligible (112 reported medical eye disease, 65 were wearing lenses, and 11 refused or were discharged before intervention implementation).

Nonprescription readers corrected the majority of eligible participants' vision (82%, 95/116). Most participants' (81/116, 70%) vision was corrected using the 2 lowest calibration readers (+2/+2.25); another 14 participants' (12%) vision was corrected with higher‐strength lenses (+2.75/+3.25) (Figure 1B)

DISCUSSION

We found that over one‐third of the inpatients we examined have poor vision. Furthermore, among an easily identified subgroup of inpatients with poor vision, low‐cost readers successfully corrected most participants' vision. Although preventive health is not commonly considered an inpatient issue, hospitalists and other clinicians working in the inpatient setting can play an important role in identifying opportunities to provide high‐value care related to patients' vision.

Several important ethical, safety, and cost considerations related to these findings exist. Hospitalized patients commonly sign written informed consent; therefore, due diligence to ensure patients' ability to read and understand the forms is imperative. Further, inpatient delirium is common, particularly among older patients.[8] Existing or new onset delirium occurs in up to 24% to 35% of elderly inpatients.[8] Vision is an important risk factor for multifactorial inpatient delirium, and early vision correction has been shown to improve delirium rates, as part of a multicomponent intervention.[9] Hospital‐related patient costs per delirium episode have been estimated at $16,303 to $64,421.[10] The cost of a multicomponent intervention was $6341 per case of delirium prevented,[9] whereas only 1 potentially critical component, the cost of readers ($8+), would pale in comparison.[1] Vision screening takes approximately 2.25 minutes plus 2 to 6 minutes for the readers' assessment, with little training and high fidelity. Therefore, this easily implemented, potentially cost saving, intervention targeting inpatients with poor vision may improve patient safety and quality of life in the hospital and even after discharge.

Limitations of the study include considerations of generalizability, as participants were from a single, urban, academic medical center. Additionally, long‐term benefits of the readers intervention were not assessed in this study. Finally, RAs provided the assessments; therefore, further work is required to determine costs of efficient large‐scale clinical implementation through nurse‐led programs.

Despite these study limitations, the surprisingly high prevalence of poor vision among inpatients is a call to action for hospitalists. Future work should investigate the impact and cost of vision correction on hospital outcomes such as patient satisfaction, reduced rehospitalizations, and decreased delirium.[11]

Acknowledgements

The authors thank several individuals for their assistance with this project. Andrea Flores, MA, Senior Programmer, helped with programming and data support. Kristin Constantine, BA, Project Manager, helped with developing and implementing the database for this project. Edward Kim, BA, Project Manager, helped with management of the database and data collection. The authors also thank Ainoa Coltri and the Hospitalist Project research assistants for assistance with data collection, Frank Zadravecz, MPH, for assistance with the creation of figures, and Nicole Twu, MS, for assistance with the project. The authors thank other students who helped to collect data for this project, including Allison Louis, Victoria Moreira, and Esther Schoenfeld.

Disclosures: Dr. Press is supported by a career development award from the National Heart Lung and Blood Institute (NIH K23HL118151). A pilot award from The Center on the Demography and Economics of Aging (CoA, National Institute of Aging P30 AG012857) supported this project. Dr. Matthiesen and Ms. Ranadive received support from the Summer Research Program funded by the National Institutes on Aging Short‐Term Aging‐Related Research Program (T35AG029795). Dr. Matthiesen also received funding from the Calvin Fentress Fellowship Program. Dr. Hariprasad reports being a consultant or participating on a speaker's bureau for Alcon, Allergan, Regeneron, Genentech, Optos, OD‐OS, Bayer, Clearside Biomedical, and Ocular Therapeutix. Dr. Meltzer received funding from the National Institutes on Aging Short‐Term Aging‐Related Research Program (T35AG029795), and from the Agency for Healthcare Quality and Research through the Hospital Medicine and Economics Center for Education and Research in Therapeutics (U18 HS016967‐01), and from the National Institute of Aging through a Midcareer Career Development Award (K24 AG031326‐01), from the National Cancer Institute (KM1 CA156717), and from the National Center for Advancing Translational Science (2UL1TR000430‐06). Dr. Arora received funding from the National Institutes on Aging Short‐Term Aging‐Related Research Program (T35AG029795) and National Institutes on Aging (K23AG033763).

References
  1. Oliver D, Daly F, Martin FC, McMurdo ME. Risk factors and risk assessment tools for falls in hospital in‐patients: a systematic review. Age Ageing. 2004;33(2):122130.
  2. Press VG, Shapiro MI, Mayo AM, Meltzer DO, Arora VM. More than meets the eye: relationship between low health literacy and poor vision in hospitalized patients. J Health Commun. 2013;18(suppl 1):197204.
  3. Inouye SK, Zhang Y, Jones RN, Kiely DK, Yang F, Marcantonio ER. Risk factors for delirium at discharge: development and validation of a predictive model. Arch Intern Med. 2007;167(13):14061413.
  4. Press VG, Arora VM, Shah LM, et al. Misuse of respiratory inhalers in hospitalized patients with asthma or COPD. J Gen Intern Med. 2011;26(6):635642.
  5. Beckman AG, Parker MG, Thorslund M. Can elderly people take their medicine? Patient Educ Couns. 2005;59(2):186191.
  6. Meltzer D, Manning WG, Morrison J, et al. 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):866874.
  7. Kaiser PK. Prospective evaluation of visual acuity assessment: a comparison of Snellen versus ETDRS charts in clinical practice (An AOS Thesis). Trans Am Ophthalmol Soc. 2009;107:311324.
  8. Levkoff SE, Evans DA, Liptzin B, et al. Delirium. The occurrence and persistence of symptoms among elderly hospitalized patients. Arch Intern Med. 1992;152(2):334340.
  9. Inouye SK, Bogardus ST, Charpentier PA, et al. A multicomponent intervention to prevent delirium in hospitalized older patients. N Engl J Med. 1999;340(9):669676.
  10. Leslie DL, Marcantonio ER, Zhang Y, Leo‐Summers L, Inouye SK. One‐year health care costs associated with delirium in the elderly population. Arch Intern Med. 2008;168(1):2732.
  11. Whitson HE, Whitaker D, Potter G, et al. A low‐vision rehabilitation program for patients with mild cognitive deficits. JAMA Ophthalmol. 2013;131(7):912919.
References
  1. Oliver D, Daly F, Martin FC, McMurdo ME. Risk factors and risk assessment tools for falls in hospital in‐patients: a systematic review. Age Ageing. 2004;33(2):122130.
  2. Press VG, Shapiro MI, Mayo AM, Meltzer DO, Arora VM. More than meets the eye: relationship between low health literacy and poor vision in hospitalized patients. J Health Commun. 2013;18(suppl 1):197204.
  3. Inouye SK, Zhang Y, Jones RN, Kiely DK, Yang F, Marcantonio ER. Risk factors for delirium at discharge: development and validation of a predictive model. Arch Intern Med. 2007;167(13):14061413.
  4. Press VG, Arora VM, Shah LM, et al. Misuse of respiratory inhalers in hospitalized patients with asthma or COPD. J Gen Intern Med. 2011;26(6):635642.
  5. Beckman AG, Parker MG, Thorslund M. Can elderly people take their medicine? Patient Educ Couns. 2005;59(2):186191.
  6. Meltzer D, Manning WG, Morrison J, et al. 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):866874.
  7. Kaiser PK. Prospective evaluation of visual acuity assessment: a comparison of Snellen versus ETDRS charts in clinical practice (An AOS Thesis). Trans Am Ophthalmol Soc. 2009;107:311324.
  8. Levkoff SE, Evans DA, Liptzin B, et al. Delirium. The occurrence and persistence of symptoms among elderly hospitalized patients. Arch Intern Med. 1992;152(2):334340.
  9. Inouye SK, Bogardus ST, Charpentier PA, et al. A multicomponent intervention to prevent delirium in hospitalized older patients. N Engl J Med. 1999;340(9):669676.
  10. Leslie DL, Marcantonio ER, Zhang Y, Leo‐Summers L, Inouye SK. One‐year health care costs associated with delirium in the elderly population. Arch Intern Med. 2008;168(1):2732.
  11. Whitson HE, Whitaker D, Potter G, et al. A low‐vision rehabilitation program for patients with mild cognitive deficits. JAMA Ophthalmol. 2013;131(7):912919.
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Address for correspondence and reprint requests: Valerie G. Press, MD, 5841 S. Maryland Avenue, MC 5000, Chicago, IL 60637; Telephone: 773‐702‐5170; Fax: 773‐795‐7398; E‐mail: [email protected]
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NICE recommends apixaban for VTE

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NICE recommends apixaban for VTE

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The UK’s National Institute for Health and Care Excellence (NICE) has issued a draft guidance recommending the anticoagulant apixaban (Eliquis) as an option for treating and preventing venous thromboembolism (VTE) in adults.

A NICE committee concluded that apixaban is clinically and cost-effective for this indication.

The draft guidance is now with consultees, who can appeal against it. Once NICE issues its final guidance on a technology, it replaces local recommendations.

“Apixaban, like the other newer oral anticoagulants already recommended by NICE for the treatment and secondary prevention of VTE, does not require frequent blood tests to monitor treatment and so represents a potential benefit for many people who have had a VTE,” said Carole Longson, NICE Health Technology Evaluation Centre Director.

“The committee also heard that apixaban is the only oral anticoagulant for which the licensed dose is lower for secondary prevention than for initial treatment of VTE. This could also be of potential benefit in terms of reducing the risk of bleeding where treatment is continued and therefore increase the chance that a person would take apixaban long-term.”

Clinical effectiveness

The NICE committee assessed the clinical effectiveness of apixaban based on results of the AMPLIFY and AMPLIFY-EXT studies.

Results of the AMPLIFY study indicated that apixaban is noninferior to standard treatment for recurrent VTE—initial parenteral enoxaparin overlapped with warfarin. Apixaban was comparable in efficacy to standard therapy and induced significantly less bleeding.

In AMPLIFY-EXT, researchers compared 12 months of treatment with apixaban at 2 doses—2.5 mg and 5 mg—to placebo in patients who had previously received anticoagulant therapy for 6 to 12 months to treat a prior VTE.

Both doses of apixaban effectively prevented VTE, VTE-related events, and death. And the incidence of bleeding events was low in all treatment arms.

The NICE committee noted that there were limited data in these trials pertaining to patients who needed less than 6 months of treatment and for patients still at high risk of recurrent VTE after 6 months of treatment.

However, the committee concluded that, despite these limitations, the AMPLIFY trials were the pivotal trials that informed the marketing authorization for apixaban. As such, they were sufficient to inform a recommendation for the whole population covered by the marketing authorization.

The committee did point out that there were no head-to-head trials evaluating the relative effectiveness of apixaban compared with rivaroxaban and dabigatran etexilate for treating and preventing VTE.

In addition, there were insufficient data to assess the effectiveness and safety of apixaban in patients with active cancer who had VTE, so it was not possible to make a specific recommendation for this group.

Cost-effectiveness

The recommended dose of apixaban as VTE treatment is 10 mg twice a day for the first 7 days, followed by 5 mg twice a day for at least 3 months. To prevent recurrent VTE, patients who have completed 6 months of VTE treatment should take apixaban at 2.5 mg twice a day.

The cost of apixaban is £1.10 per tablet for either the 2.5 mg or 5 mg dose (excluding tax). The daily cost of apixaban is £2.20. (Costs may vary in different settings because of negotiated procurement discounts.)

Analyses suggested that the incremental cost-effectiveness ratio of apixaban was less than £20,000 per quality-adjusted life-year gained for either 6 months or life-long treatment. Therefore, NICE concluded that apixaban is a cost-effective use of National Health Service resources. 

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Thrombus

Image by Andre E.X. Brown

The UK’s National Institute for Health and Care Excellence (NICE) has issued a draft guidance recommending the anticoagulant apixaban (Eliquis) as an option for treating and preventing venous thromboembolism (VTE) in adults.

A NICE committee concluded that apixaban is clinically and cost-effective for this indication.

The draft guidance is now with consultees, who can appeal against it. Once NICE issues its final guidance on a technology, it replaces local recommendations.

“Apixaban, like the other newer oral anticoagulants already recommended by NICE for the treatment and secondary prevention of VTE, does not require frequent blood tests to monitor treatment and so represents a potential benefit for many people who have had a VTE,” said Carole Longson, NICE Health Technology Evaluation Centre Director.

“The committee also heard that apixaban is the only oral anticoagulant for which the licensed dose is lower for secondary prevention than for initial treatment of VTE. This could also be of potential benefit in terms of reducing the risk of bleeding where treatment is continued and therefore increase the chance that a person would take apixaban long-term.”

Clinical effectiveness

The NICE committee assessed the clinical effectiveness of apixaban based on results of the AMPLIFY and AMPLIFY-EXT studies.

Results of the AMPLIFY study indicated that apixaban is noninferior to standard treatment for recurrent VTE—initial parenteral enoxaparin overlapped with warfarin. Apixaban was comparable in efficacy to standard therapy and induced significantly less bleeding.

In AMPLIFY-EXT, researchers compared 12 months of treatment with apixaban at 2 doses—2.5 mg and 5 mg—to placebo in patients who had previously received anticoagulant therapy for 6 to 12 months to treat a prior VTE.

Both doses of apixaban effectively prevented VTE, VTE-related events, and death. And the incidence of bleeding events was low in all treatment arms.

The NICE committee noted that there were limited data in these trials pertaining to patients who needed less than 6 months of treatment and for patients still at high risk of recurrent VTE after 6 months of treatment.

However, the committee concluded that, despite these limitations, the AMPLIFY trials were the pivotal trials that informed the marketing authorization for apixaban. As such, they were sufficient to inform a recommendation for the whole population covered by the marketing authorization.

The committee did point out that there were no head-to-head trials evaluating the relative effectiveness of apixaban compared with rivaroxaban and dabigatran etexilate for treating and preventing VTE.

In addition, there were insufficient data to assess the effectiveness and safety of apixaban in patients with active cancer who had VTE, so it was not possible to make a specific recommendation for this group.

Cost-effectiveness

The recommended dose of apixaban as VTE treatment is 10 mg twice a day for the first 7 days, followed by 5 mg twice a day for at least 3 months. To prevent recurrent VTE, patients who have completed 6 months of VTE treatment should take apixaban at 2.5 mg twice a day.

The cost of apixaban is £1.10 per tablet for either the 2.5 mg or 5 mg dose (excluding tax). The daily cost of apixaban is £2.20. (Costs may vary in different settings because of negotiated procurement discounts.)

Analyses suggested that the incremental cost-effectiveness ratio of apixaban was less than £20,000 per quality-adjusted life-year gained for either 6 months or life-long treatment. Therefore, NICE concluded that apixaban is a cost-effective use of National Health Service resources. 

Thrombus

Image by Andre E.X. Brown

The UK’s National Institute for Health and Care Excellence (NICE) has issued a draft guidance recommending the anticoagulant apixaban (Eliquis) as an option for treating and preventing venous thromboembolism (VTE) in adults.

A NICE committee concluded that apixaban is clinically and cost-effective for this indication.

The draft guidance is now with consultees, who can appeal against it. Once NICE issues its final guidance on a technology, it replaces local recommendations.

“Apixaban, like the other newer oral anticoagulants already recommended by NICE for the treatment and secondary prevention of VTE, does not require frequent blood tests to monitor treatment and so represents a potential benefit for many people who have had a VTE,” said Carole Longson, NICE Health Technology Evaluation Centre Director.

“The committee also heard that apixaban is the only oral anticoagulant for which the licensed dose is lower for secondary prevention than for initial treatment of VTE. This could also be of potential benefit in terms of reducing the risk of bleeding where treatment is continued and therefore increase the chance that a person would take apixaban long-term.”

Clinical effectiveness

The NICE committee assessed the clinical effectiveness of apixaban based on results of the AMPLIFY and AMPLIFY-EXT studies.

Results of the AMPLIFY study indicated that apixaban is noninferior to standard treatment for recurrent VTE—initial parenteral enoxaparin overlapped with warfarin. Apixaban was comparable in efficacy to standard therapy and induced significantly less bleeding.

In AMPLIFY-EXT, researchers compared 12 months of treatment with apixaban at 2 doses—2.5 mg and 5 mg—to placebo in patients who had previously received anticoagulant therapy for 6 to 12 months to treat a prior VTE.

Both doses of apixaban effectively prevented VTE, VTE-related events, and death. And the incidence of bleeding events was low in all treatment arms.

The NICE committee noted that there were limited data in these trials pertaining to patients who needed less than 6 months of treatment and for patients still at high risk of recurrent VTE after 6 months of treatment.

However, the committee concluded that, despite these limitations, the AMPLIFY trials were the pivotal trials that informed the marketing authorization for apixaban. As such, they were sufficient to inform a recommendation for the whole population covered by the marketing authorization.

The committee did point out that there were no head-to-head trials evaluating the relative effectiveness of apixaban compared with rivaroxaban and dabigatran etexilate for treating and preventing VTE.

In addition, there were insufficient data to assess the effectiveness and safety of apixaban in patients with active cancer who had VTE, so it was not possible to make a specific recommendation for this group.

Cost-effectiveness

The recommended dose of apixaban as VTE treatment is 10 mg twice a day for the first 7 days, followed by 5 mg twice a day for at least 3 months. To prevent recurrent VTE, patients who have completed 6 months of VTE treatment should take apixaban at 2.5 mg twice a day.

The cost of apixaban is £1.10 per tablet for either the 2.5 mg or 5 mg dose (excluding tax). The daily cost of apixaban is £2.20. (Costs may vary in different settings because of negotiated procurement discounts.)

Analyses suggested that the incremental cost-effectiveness ratio of apixaban was less than £20,000 per quality-adjusted life-year gained for either 6 months or life-long treatment. Therefore, NICE concluded that apixaban is a cost-effective use of National Health Service resources. 

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FDA approves new antifungal drug

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Aspergillosis

The US Food and Drug Administration (FDA) has approved isavuconazonium sulfate (Cresemba) to treat adults with invasive aspergillosis and invasive mucormycosis, life-threatening fungal infections that predominantly occur in immunocompromised patients.

Isavuconazonium sulfate is an azole antifungal agent that works by targeting the cell wall of a fungus. The drug is available in oral and intravenous formulations.

“[The] approval provides a new treatment option for patients with serious fungal infections and underscores the importance of having available safe and effective antifungal drugs,” said Edward Cox, MD, director of the Office of Antimicrobial Products in the FDA’s Center for Drug Evaluation and Research.

Clinical trials

The FDA approved isavuconazonium sulfate to treat invasive aspergillosis based on results of the phase 3 SECURE trial. The study included 516 adults with invasive aspergillosis who were randomized to receive isavuconazonium sulfate or voriconazole.

Isavuconazonium sulfate demonstrated non-inferiority to voriconazole on the primary endpoint of all-cause mortality. All-cause mortality through day 42 was 18.6% in the isavuconazonium sulfate arm and 20.2% in the voriconazole arm.

In addition, isavuconazonium sulfate demonstrated similar rates of mortality and non-fatal adverse events as voriconazole

The FDA approved isavuconazonium sulfate to treat invasive mucormycosis based on results of the phase 3 VITAL trial. This single-arm study included 37 patients with invasive mucormycosis who received isavuconazonium sulfate.

All-cause mortality in these patients was 38%. The efficacy of isavuconazonium sulfate as a treatment for invasive mucormycosis has not been evaluated in concurrent, controlled clinical trials.

The most frequent adverse events for patients treated with isavuconazonium sulfate in clinical trials were nausea (26%), vomiting (25%), diarrhea (22%), headache (17%), elevated liver chemistry tests (17%), hypokalemia (14%), constipation (13%), dyspnea (12%), cough (12%), peripheral edema (11%), and back pain (10%).

QIDP status

Isavuconazonium sulfate is the sixth approved antifungal/antibacterial drug product designated as a qualified infectious disease product (QIDP). This designation is given to antibacterial or antifungal products that treat serious or life-threatening infections.

As part of its QIDP designation, isavuconazonium sulfate was given priority review. The QIDP designation also qualifies the drug for an additional 5 years of marketing exclusivity to be added to certain exclusivity periods already provided by the Food, Drug, and Cosmetic Act.

As invasive aspergillosis and mucormycosis are rare, the FDA also granted isavuconazonium sulfate orphan drug designations to treat these infections.

Isavuconazonium sulfate is marketed as Cresemba by Astellas Pharma US, Inc., which is based in Northbrook, Illinois. For more information on the drug, see the full prescribing information.

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Topics

Aspergillosis

The US Food and Drug Administration (FDA) has approved isavuconazonium sulfate (Cresemba) to treat adults with invasive aspergillosis and invasive mucormycosis, life-threatening fungal infections that predominantly occur in immunocompromised patients.

Isavuconazonium sulfate is an azole antifungal agent that works by targeting the cell wall of a fungus. The drug is available in oral and intravenous formulations.

“[The] approval provides a new treatment option for patients with serious fungal infections and underscores the importance of having available safe and effective antifungal drugs,” said Edward Cox, MD, director of the Office of Antimicrobial Products in the FDA’s Center for Drug Evaluation and Research.

Clinical trials

The FDA approved isavuconazonium sulfate to treat invasive aspergillosis based on results of the phase 3 SECURE trial. The study included 516 adults with invasive aspergillosis who were randomized to receive isavuconazonium sulfate or voriconazole.

Isavuconazonium sulfate demonstrated non-inferiority to voriconazole on the primary endpoint of all-cause mortality. All-cause mortality through day 42 was 18.6% in the isavuconazonium sulfate arm and 20.2% in the voriconazole arm.

In addition, isavuconazonium sulfate demonstrated similar rates of mortality and non-fatal adverse events as voriconazole

The FDA approved isavuconazonium sulfate to treat invasive mucormycosis based on results of the phase 3 VITAL trial. This single-arm study included 37 patients with invasive mucormycosis who received isavuconazonium sulfate.

All-cause mortality in these patients was 38%. The efficacy of isavuconazonium sulfate as a treatment for invasive mucormycosis has not been evaluated in concurrent, controlled clinical trials.

The most frequent adverse events for patients treated with isavuconazonium sulfate in clinical trials were nausea (26%), vomiting (25%), diarrhea (22%), headache (17%), elevated liver chemistry tests (17%), hypokalemia (14%), constipation (13%), dyspnea (12%), cough (12%), peripheral edema (11%), and back pain (10%).

QIDP status

Isavuconazonium sulfate is the sixth approved antifungal/antibacterial drug product designated as a qualified infectious disease product (QIDP). This designation is given to antibacterial or antifungal products that treat serious or life-threatening infections.

As part of its QIDP designation, isavuconazonium sulfate was given priority review. The QIDP designation also qualifies the drug for an additional 5 years of marketing exclusivity to be added to certain exclusivity periods already provided by the Food, Drug, and Cosmetic Act.

As invasive aspergillosis and mucormycosis are rare, the FDA also granted isavuconazonium sulfate orphan drug designations to treat these infections.

Isavuconazonium sulfate is marketed as Cresemba by Astellas Pharma US, Inc., which is based in Northbrook, Illinois. For more information on the drug, see the full prescribing information.

Aspergillosis

The US Food and Drug Administration (FDA) has approved isavuconazonium sulfate (Cresemba) to treat adults with invasive aspergillosis and invasive mucormycosis, life-threatening fungal infections that predominantly occur in immunocompromised patients.

Isavuconazonium sulfate is an azole antifungal agent that works by targeting the cell wall of a fungus. The drug is available in oral and intravenous formulations.

“[The] approval provides a new treatment option for patients with serious fungal infections and underscores the importance of having available safe and effective antifungal drugs,” said Edward Cox, MD, director of the Office of Antimicrobial Products in the FDA’s Center for Drug Evaluation and Research.

Clinical trials

The FDA approved isavuconazonium sulfate to treat invasive aspergillosis based on results of the phase 3 SECURE trial. The study included 516 adults with invasive aspergillosis who were randomized to receive isavuconazonium sulfate or voriconazole.

Isavuconazonium sulfate demonstrated non-inferiority to voriconazole on the primary endpoint of all-cause mortality. All-cause mortality through day 42 was 18.6% in the isavuconazonium sulfate arm and 20.2% in the voriconazole arm.

In addition, isavuconazonium sulfate demonstrated similar rates of mortality and non-fatal adverse events as voriconazole

The FDA approved isavuconazonium sulfate to treat invasive mucormycosis based on results of the phase 3 VITAL trial. This single-arm study included 37 patients with invasive mucormycosis who received isavuconazonium sulfate.

All-cause mortality in these patients was 38%. The efficacy of isavuconazonium sulfate as a treatment for invasive mucormycosis has not been evaluated in concurrent, controlled clinical trials.

The most frequent adverse events for patients treated with isavuconazonium sulfate in clinical trials were nausea (26%), vomiting (25%), diarrhea (22%), headache (17%), elevated liver chemistry tests (17%), hypokalemia (14%), constipation (13%), dyspnea (12%), cough (12%), peripheral edema (11%), and back pain (10%).

QIDP status

Isavuconazonium sulfate is the sixth approved antifungal/antibacterial drug product designated as a qualified infectious disease product (QIDP). This designation is given to antibacterial or antifungal products that treat serious or life-threatening infections.

As part of its QIDP designation, isavuconazonium sulfate was given priority review. The QIDP designation also qualifies the drug for an additional 5 years of marketing exclusivity to be added to certain exclusivity periods already provided by the Food, Drug, and Cosmetic Act.

As invasive aspergillosis and mucormycosis are rare, the FDA also granted isavuconazonium sulfate orphan drug designations to treat these infections.

Isavuconazonium sulfate is marketed as Cresemba by Astellas Pharma US, Inc., which is based in Northbrook, Illinois. For more information on the drug, see the full prescribing information.

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Moms can (almost) have it all

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Moms can (almost) have it all

They say you can’t have it all, and they’re right. But you can have most of it. By that I mean you can achieve a work-life balance that will enable you to thrive in your career while you raise your dream family. While this goal may never be easy, and you may always feel like you want to do more, give more, and reach more, that’s just the nature of the beast. We are all overachievers. That’s how we’re programmed; it’s in our DNA. Why else would we have taken on so much debt and sacrificed so many years for a career? And while many of us specifically chose hospital medicine so we could offset our stressful, hectic work life with plenty of time off for self and family, our reality is still replete with everyday challenges and, frequently, burnout.

We eagerly seek out best practices to optimize patient care, but how often do we seek advice from trusted colleagues on their “best practices” for balancing work and home? While talking with some of my female colleagues recently, I expressed my dismay that my dishwasher had broken and I frequently found myself washing dinner dishes as I juggled homework for my two 6-year-olds and responded to a seemingly incessant pager. One laughed as she recalled the pains she went through to have not one, but two dishwashers installed in her kitchen during her remodel. Washing dishes by hand simply wasn’t realistic for her. Her two little boys demanded whatever physical and emotional energy she had left after a stressful day at the hospital.

Dr. A. Maria Hester

It is okay to admit that you don’t have all the answers, and it is cathartic to accept that you may never be the homemaker your mother was and forget about matching your grandmothers’ skillsets. At some Alcoholics Anonymous meetings, new members stand up and introduce themselves by saying, “Hello, my name is ___, and I am an alcoholic.” I personally felt like a huge weight had been lifted from my shoulders when one day, I finally acknowledged I didn’t have all the answers and I could never follow all of the parenting experts’ advice. After all, experts come and go, and with it, their expert recommendations. I don’t even want to abide by the “no more than 30 minutes of screen time per day” mantra. My parents raised five children on rerun after rerun of “The Andy Griffith Show,” “The Brady Bunch,” and other sitcoms, not to mention movies and musicals, and every one of us has a terminal degree, and still remember how much fun we had as children. My parents set high expectations, and they taught us how to reach them, plain and simple. We worked hard and we got to play hard, too.

The bottom line is that different techniques work for different people. Find out which ones work for you and your family and pursue them, regardless of what others may think. And above all, don’t let guilt get the best of you, because it will eat away at you and potentially destroy all you want to accomplish. You know, the guilt of missing a soccer game or a school play, or even the guilt of stopping for fast food when you are just too tired to cook a nutritious meal. Give yourself a break. The realistic goal is to optimize your work-life balance; the elusive one is to perfect it.

Dr. Hester is a hospitalist at Baltimore-Washington Medical Center in Glen Burnie, Md. She is the creator of the Patient Whiz, a patient-engagement app for iOS. Reach her at [email protected].

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They say you can’t have it all, and they’re right. But you can have most of it. By that I mean you can achieve a work-life balance that will enable you to thrive in your career while you raise your dream family. While this goal may never be easy, and you may always feel like you want to do more, give more, and reach more, that’s just the nature of the beast. We are all overachievers. That’s how we’re programmed; it’s in our DNA. Why else would we have taken on so much debt and sacrificed so many years for a career? And while many of us specifically chose hospital medicine so we could offset our stressful, hectic work life with plenty of time off for self and family, our reality is still replete with everyday challenges and, frequently, burnout.

We eagerly seek out best practices to optimize patient care, but how often do we seek advice from trusted colleagues on their “best practices” for balancing work and home? While talking with some of my female colleagues recently, I expressed my dismay that my dishwasher had broken and I frequently found myself washing dinner dishes as I juggled homework for my two 6-year-olds and responded to a seemingly incessant pager. One laughed as she recalled the pains she went through to have not one, but two dishwashers installed in her kitchen during her remodel. Washing dishes by hand simply wasn’t realistic for her. Her two little boys demanded whatever physical and emotional energy she had left after a stressful day at the hospital.

Dr. A. Maria Hester

It is okay to admit that you don’t have all the answers, and it is cathartic to accept that you may never be the homemaker your mother was and forget about matching your grandmothers’ skillsets. At some Alcoholics Anonymous meetings, new members stand up and introduce themselves by saying, “Hello, my name is ___, and I am an alcoholic.” I personally felt like a huge weight had been lifted from my shoulders when one day, I finally acknowledged I didn’t have all the answers and I could never follow all of the parenting experts’ advice. After all, experts come and go, and with it, their expert recommendations. I don’t even want to abide by the “no more than 30 minutes of screen time per day” mantra. My parents raised five children on rerun after rerun of “The Andy Griffith Show,” “The Brady Bunch,” and other sitcoms, not to mention movies and musicals, and every one of us has a terminal degree, and still remember how much fun we had as children. My parents set high expectations, and they taught us how to reach them, plain and simple. We worked hard and we got to play hard, too.

The bottom line is that different techniques work for different people. Find out which ones work for you and your family and pursue them, regardless of what others may think. And above all, don’t let guilt get the best of you, because it will eat away at you and potentially destroy all you want to accomplish. You know, the guilt of missing a soccer game or a school play, or even the guilt of stopping for fast food when you are just too tired to cook a nutritious meal. Give yourself a break. The realistic goal is to optimize your work-life balance; the elusive one is to perfect it.

Dr. Hester is a hospitalist at Baltimore-Washington Medical Center in Glen Burnie, Md. She is the creator of the Patient Whiz, a patient-engagement app for iOS. Reach her at [email protected].

They say you can’t have it all, and they’re right. But you can have most of it. By that I mean you can achieve a work-life balance that will enable you to thrive in your career while you raise your dream family. While this goal may never be easy, and you may always feel like you want to do more, give more, and reach more, that’s just the nature of the beast. We are all overachievers. That’s how we’re programmed; it’s in our DNA. Why else would we have taken on so much debt and sacrificed so many years for a career? And while many of us specifically chose hospital medicine so we could offset our stressful, hectic work life with plenty of time off for self and family, our reality is still replete with everyday challenges and, frequently, burnout.

We eagerly seek out best practices to optimize patient care, but how often do we seek advice from trusted colleagues on their “best practices” for balancing work and home? While talking with some of my female colleagues recently, I expressed my dismay that my dishwasher had broken and I frequently found myself washing dinner dishes as I juggled homework for my two 6-year-olds and responded to a seemingly incessant pager. One laughed as she recalled the pains she went through to have not one, but two dishwashers installed in her kitchen during her remodel. Washing dishes by hand simply wasn’t realistic for her. Her two little boys demanded whatever physical and emotional energy she had left after a stressful day at the hospital.

Dr. A. Maria Hester

It is okay to admit that you don’t have all the answers, and it is cathartic to accept that you may never be the homemaker your mother was and forget about matching your grandmothers’ skillsets. At some Alcoholics Anonymous meetings, new members stand up and introduce themselves by saying, “Hello, my name is ___, and I am an alcoholic.” I personally felt like a huge weight had been lifted from my shoulders when one day, I finally acknowledged I didn’t have all the answers and I could never follow all of the parenting experts’ advice. After all, experts come and go, and with it, their expert recommendations. I don’t even want to abide by the “no more than 30 minutes of screen time per day” mantra. My parents raised five children on rerun after rerun of “The Andy Griffith Show,” “The Brady Bunch,” and other sitcoms, not to mention movies and musicals, and every one of us has a terminal degree, and still remember how much fun we had as children. My parents set high expectations, and they taught us how to reach them, plain and simple. We worked hard and we got to play hard, too.

The bottom line is that different techniques work for different people. Find out which ones work for you and your family and pursue them, regardless of what others may think. And above all, don’t let guilt get the best of you, because it will eat away at you and potentially destroy all you want to accomplish. You know, the guilt of missing a soccer game or a school play, or even the guilt of stopping for fast food when you are just too tired to cook a nutritious meal. Give yourself a break. The realistic goal is to optimize your work-life balance; the elusive one is to perfect it.

Dr. Hester is a hospitalist at Baltimore-Washington Medical Center in Glen Burnie, Md. She is the creator of the Patient Whiz, a patient-engagement app for iOS. Reach her at [email protected].

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Plasmapheresis in Refractory Pemphigus Vulgaris: Revisiting an Old Treatment Modality Used in Synchrony With Pulse Cyclophosphamide

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Plasmapheresis in Refractory Pemphigus Vulgaris: Revisiting an Old Treatment Modality Used in Synchrony With Pulse Cyclophosphamide

To the Editor:

Pemphigus vulgaris is an uncommon autoimmune blistering dermatosis characterized by painful mucocutaneous erosions. It can be a life-threatening condition if left untreated. The autoimmune process is mediated by autoantibodies against the keratinocyte surface antigens desmoglein 1 and 3.1 Therapy is directed at lowering autoantibody levels with systemic corticosteroids and immunosuppressive agents. Use of these agents often is limited by collateral adverse effects.2 Refractory disease may occur despite the use of high-dose corticosteroids or a combination of other immunosuppressants. The level of these pathogenic autoantibodies generally parallels the extent of disease activity, and removing them with plasmapheresis followed by immunosuppression should result in therapeutic response.3 We report a case of refractory pemphigus vulgaris that was controlled with plasmapheresis used in synchrony with pulse cyclophosphamide.

A 48-year-old Chinese man first presented with mucocutaneous erosions 2 years ago, and a diagnosis of pemphigus vulgaris was confirmed based on typical histologic and immunofluorescence features. Histologic features included suprabasal acantholysis with an intraepidermal blister as well as basal keratinocytes attached to the dermal papillae and present along the entire dermoepidermal junction (Figure 1). Direct immunofluorescence demonstrated intercellular deposits of IgG and complements in the lower epidermis, and indirect immunofluorescence showed the presence of the pathogenic pemphigus autoantibodies. The patient was initially treated with prednisolone (up to 1 mg/kg daily) and mycophenolate mofetil (1 g twice daily) for 6 months with moderate disease response. Two months later he experienced a disease flare that was triggered by sun exposure and concomitant herpes simplex virus infection. He achieved moderate disease control with acyclovir, 3 days of intravenous immunoglobulin, and combination prednisolone and azathioprine. There was no other relevant medical history. For the last year, the patient received continuous prednisolone (varying doses 0.5–1 mg/kg daily), concomitant azathioprine (up to 3 mg/kg daily), and long-term prophylactic acyclovir, but he continued to have residual crusted erosions over the scalp and face (best score of 25 points based on the autoimmune bullous skin disorder intensity score [ABSIS] ranging from 0–150 points4). He was admitted at the current presentation with another, more severe disease flare with extensive painful erosions over the trunk, arms, legs, face, and scalp (80% body surface area involvement and ABSIS score of 120 points)(Figure 2)4 that occurred after azathioprine was temporarily ceased for 1 week due to transaminitis, and despite a temporary increment in prednisolone dose. There was, however, no significant oral mucosal involvement. The desmoglein 1 and 3 antibody levels were elevated at more than 300 U/mL and 186 U/mL, respectively (>20 U/mL indicates positivity). A 3-day course of pulse intravenous methylprednisolone (10 mg/kg) failed to achieve clinical improvement or reduction of antibody titers. The use of various immunosuppressive agents was limited by persistent transaminitis and transient leukopenia.

Figure 1. Histologic features of pemphigus vulgaris including suprabasal acantholysis with an intraepidermal blister as well as basal keratinocytes attached to the dermal papillae and present along the entire dermoepidermal junction (H&E, original magnification ×40).

Figure 2. Acute flare of pemphigus vulgaris with extensive erosions of the trunk and arms (80% body surface area involvement).

Figure 3. Clinical improvement of pemphigus vulgaris after 9 sessions of plasmapheresis synchronized with pulse intravenous cyclophosphamide over a 3-week period. The erosions were almost completely reepithelialized.

Because of remarkable morbidity, the patient underwent interim plasmapheresis for rapid disease control. Plasmapheresis was carried out through a pheresible central venous catheter. One plasma volume exchange was done each session, which was 5 L for the patient’s body weight and hematocrit. Equal volume of colloid comprising 2.5 L of fresh frozen plasma and 2.5 L of 5% albumin was used for replacement. Plasma exchange was performed with a cell separator by discontinuous flow centrifugation with 4% acid citrate dextrose as an anticoagulant. For each session of plasmapheresis, 16 cycles of exchange (each processing approximately 300 mL of blood) was carried out, the entire process lasting for 4 hours. The coagulation and biochemical profile was checked after each session of plasmapheresis and corrected when necessary. The patient underwent 9 sessions of plasmapheresis over a 3-week period, synchronized with pulse intravenous cyclophosphamide (15 mg/kg) immediately after completion of the plasmapheresis sessions, resulting in a remarkable decrease in pathogenic antibody titers to near undetectable levels and clinical improvement (Figure 3). The extensive erosions gradually healed with good reepithelialization, and there was a notable reduction in the ABSIS score to 12 points. He received 3 more monthly treatments with pulse intravenous cyclophosphamide (15 mg/kg) and is currently maintained on oral cyclophosphamide (2 mg/kg daily) and low-dose prednisolone (0.3 mg/kg daily). There was no subsequent disease relapse at 6-month follow-up, with the ABSIS score maintained at 5 points, and no increase in pathogenic autoantibody titers. The patient subsequently was lost to follow-up.

 

 

Patients with severe disease or refractory cases of pemphigus vulgaris that have been maintained on unacceptably high doses of corticosteroids or immunosuppressants that cannot be tapered without a disease flare may develop remarkable adverse effects, both from medications and from long-term immunosuppression.2 Our case illustrates the short-term benefit of plasmapheresis combined with immunosuppressants resulting in rapid disease control.

Plasmapheresis involves the selective removal of pathogenic materials from the circulation to achieve therapeutic effect, followed by appropriate replacement fluids. Treating pemphigus vulgaris with plasmapheresis was introduced in 1978 based on the rationale of removing pathogenic autoantibodies from the circulation.3,5 Using desmoglein enzyme-linked immunosorbent assay, it has been shown that one centrifugal plasmapheresis procedure eliminates approximately 15% of the IgG autoantibodies from the whole body.6 An average of 5 plasmapheresis sessions on alternate days usually is required to deplete the levels of pathogenic autoantibodies to near undetectable levels.7 Our case required 9 plasmapheresis sessions over 3 weeks to achieve good therapeutic response.

It seems that using plasmapheresis to treat pemphigus vulgaris has fallen out of favor due to its inability to prevent the antibody rebound occurring during weeks 1 and 2 posttreatment. Because of a feedback mechanism, a massive antibody depletion by plasmapheresis triggers a rebound synthesis of more autoantibodies by pathogenic B cells to titers comparable to or higher than those before plasmapheresis.8 The use of plasmapheresis should be supported by immunosuppressive therapy to prevent antibody feedback rebound. Due to the advent of available immunosuppressive agents in recent years, there is a resurgence in the successful use of this old treatment modality combined with immunosuppressive therapy in managing refractory pemphigus vulgaris.7,8 At present there is no clear data to support the use of one immunosuppressant versus another, but our case supports the use of pulse intravenous cyclophosphamide, as documented in other reports.7,9 The success of immunosuppressive agents at reducing antibody levels depends on the timing (immediately after plasmapheresis) as well as individual responsiveness to the immunosuppressant.7

Our armamentarium of therapies for refractory pemphigus vulgaris continues to evolve. A more selective method of removing antibodies by extracorporeal immunoadsorption has the benefit of higher removal rates and reduced inadvertent loss of other plasma components.10 The combination of protein A immunoadsorption with rituximab, a monoclonal anti-CD20 antibody that induces B-cell depletion, also has been shown to induce rapid and durable remission in refractory cases.11

Our case shows that plasmapheresis can be a useful alternative or adjunctive intervention in pemphigus vulgaris that is not responding to conventional therapy or in cases when steroids or immunosuppressants are contraindicated. There is a definite role for such therapeutic plasma exchanges in the rapid control of potentially life-threatening disease. Its benefits are optimized when used in synchrony with immunosuppressants immediately following plasmapheresis to prevent rebound effect of antibody depletion.

References

1. Udey MC, Stanley JR. Pemphigus–disease of antidesmosomal autoimmunity. JAMA. 1999;282:572-576.

2. Huilgol SC, Black MM. Management of the immunobullous disorders. II. pemphigus. Clin Exp Dermatol. 1995;20:283-293.

3. Cotterill JA, Barker DJ, Millard LG. Plasma exchange in the treatment of pemphigus vulgaris. Br J Dermatol. 1978;98:243.

4. Pfutze M, Niedermeier A, Hertl M, et al. Introducing a novel Autoimmune Bullous Skin Disorder Intensity Score (ABSIS) in pemphigus [published online ahead of print February 27, 2007]. Eur J Dermatol. 2007;17:4-11.

5. Ruocco V, Rossi A, Argenziano G, et al. Pathogenicity of the intercellular antibodies of pemphigus their periodic removal from the circulation by plasmapheresis. Br J Dermatol. 1978;98:237-241.

6. Nagasaka T, Fujii Y, Ishida A, et al. Evaluating efficacy of plasmapheresis for patients with pemphigus using desmoglein enzyme-linked immunosorbent assay [published online ahead of print January 30, 2008]. Br J Dermatol. 2008;158:685-690.

7. Turner MS, Sutton D, Sauder DN. The use of plasmapheresis and immunosuppression in the treatment of pemphigus vulgaris. J Am Acad Dermatol. 2000;43:1058-1064.

8. Roujeau JC, Andre C, Joneau Fabre M, et al. Plasma exchange in pemphigus. uncontrolled study of ten patients. Arch Dermatol. 1983;119:215-221.

9. Euler HH, Löffler H, Christophers E. Synchronization of plasmapheresis and pulse cyclophosphamide therapy in pemphigus vulgaris. Arch Dermatol. 1987;123:1205-1210.

10. Lüftl M, Stauber A, Mainka A, et al. Successful removal of pathogenic autoantibodies in pemphigus by immunoadsorption with a tryptophan-linked polyvinylalcohol adsorber. Br J Dermatol. 2003;149:598-605.

11. Shimanovich I, Nitschke M, Rose C, et al. Treatment of severe pemphigus with protein A immunoadsorption, rituximab and intravenous immunoglobulins. Br J Dermatol. 2008;158:382-388.

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Liang Kiat Tay, MB ChB, MRCP; Yeh Ching Linn, MBBS, MRCP; Shiu Ming Pang, MBBS, FRCP; Thamotharampillai Thirumoorthy, MBBS, FRCP

Dr. Tay is from the Department of Dermatology, Changi General Hospital, Singapore. Drs. Linn, Pang, and Thirumoorthy are from Singapore General Hospital. Dr. Linn is from the Department of Hematology, and Drs. Pang and Thirumoorthy are from the Department of Dermatology.

The authors report no conflict of interest.

Correspondence: Liang Kiat Tay, MB ChB, MRCP, Changi General Hospital, 2 Simei St 3, Singapore 529889 ([email protected]).

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Liang Kiat Tay, MB ChB, MRCP; Yeh Ching Linn, MBBS, MRCP; Shiu Ming Pang, MBBS, FRCP; Thamotharampillai Thirumoorthy, MBBS, FRCP

Dr. Tay is from the Department of Dermatology, Changi General Hospital, Singapore. Drs. Linn, Pang, and Thirumoorthy are from Singapore General Hospital. Dr. Linn is from the Department of Hematology, and Drs. Pang and Thirumoorthy are from the Department of Dermatology.

The authors report no conflict of interest.

Correspondence: Liang Kiat Tay, MB ChB, MRCP, Changi General Hospital, 2 Simei St 3, Singapore 529889 ([email protected]).

Author and Disclosure Information

Liang Kiat Tay, MB ChB, MRCP; Yeh Ching Linn, MBBS, MRCP; Shiu Ming Pang, MBBS, FRCP; Thamotharampillai Thirumoorthy, MBBS, FRCP

Dr. Tay is from the Department of Dermatology, Changi General Hospital, Singapore. Drs. Linn, Pang, and Thirumoorthy are from Singapore General Hospital. Dr. Linn is from the Department of Hematology, and Drs. Pang and Thirumoorthy are from the Department of Dermatology.

The authors report no conflict of interest.

Correspondence: Liang Kiat Tay, MB ChB, MRCP, Changi General Hospital, 2 Simei St 3, Singapore 529889 ([email protected]).

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To the Editor:

Pemphigus vulgaris is an uncommon autoimmune blistering dermatosis characterized by painful mucocutaneous erosions. It can be a life-threatening condition if left untreated. The autoimmune process is mediated by autoantibodies against the keratinocyte surface antigens desmoglein 1 and 3.1 Therapy is directed at lowering autoantibody levels with systemic corticosteroids and immunosuppressive agents. Use of these agents often is limited by collateral adverse effects.2 Refractory disease may occur despite the use of high-dose corticosteroids or a combination of other immunosuppressants. The level of these pathogenic autoantibodies generally parallels the extent of disease activity, and removing them with plasmapheresis followed by immunosuppression should result in therapeutic response.3 We report a case of refractory pemphigus vulgaris that was controlled with plasmapheresis used in synchrony with pulse cyclophosphamide.

A 48-year-old Chinese man first presented with mucocutaneous erosions 2 years ago, and a diagnosis of pemphigus vulgaris was confirmed based on typical histologic and immunofluorescence features. Histologic features included suprabasal acantholysis with an intraepidermal blister as well as basal keratinocytes attached to the dermal papillae and present along the entire dermoepidermal junction (Figure 1). Direct immunofluorescence demonstrated intercellular deposits of IgG and complements in the lower epidermis, and indirect immunofluorescence showed the presence of the pathogenic pemphigus autoantibodies. The patient was initially treated with prednisolone (up to 1 mg/kg daily) and mycophenolate mofetil (1 g twice daily) for 6 months with moderate disease response. Two months later he experienced a disease flare that was triggered by sun exposure and concomitant herpes simplex virus infection. He achieved moderate disease control with acyclovir, 3 days of intravenous immunoglobulin, and combination prednisolone and azathioprine. There was no other relevant medical history. For the last year, the patient received continuous prednisolone (varying doses 0.5–1 mg/kg daily), concomitant azathioprine (up to 3 mg/kg daily), and long-term prophylactic acyclovir, but he continued to have residual crusted erosions over the scalp and face (best score of 25 points based on the autoimmune bullous skin disorder intensity score [ABSIS] ranging from 0–150 points4). He was admitted at the current presentation with another, more severe disease flare with extensive painful erosions over the trunk, arms, legs, face, and scalp (80% body surface area involvement and ABSIS score of 120 points)(Figure 2)4 that occurred after azathioprine was temporarily ceased for 1 week due to transaminitis, and despite a temporary increment in prednisolone dose. There was, however, no significant oral mucosal involvement. The desmoglein 1 and 3 antibody levels were elevated at more than 300 U/mL and 186 U/mL, respectively (>20 U/mL indicates positivity). A 3-day course of pulse intravenous methylprednisolone (10 mg/kg) failed to achieve clinical improvement or reduction of antibody titers. The use of various immunosuppressive agents was limited by persistent transaminitis and transient leukopenia.

Figure 1. Histologic features of pemphigus vulgaris including suprabasal acantholysis with an intraepidermal blister as well as basal keratinocytes attached to the dermal papillae and present along the entire dermoepidermal junction (H&E, original magnification ×40).

Figure 2. Acute flare of pemphigus vulgaris with extensive erosions of the trunk and arms (80% body surface area involvement).

Figure 3. Clinical improvement of pemphigus vulgaris after 9 sessions of plasmapheresis synchronized with pulse intravenous cyclophosphamide over a 3-week period. The erosions were almost completely reepithelialized.

Because of remarkable morbidity, the patient underwent interim plasmapheresis for rapid disease control. Plasmapheresis was carried out through a pheresible central venous catheter. One plasma volume exchange was done each session, which was 5 L for the patient’s body weight and hematocrit. Equal volume of colloid comprising 2.5 L of fresh frozen plasma and 2.5 L of 5% albumin was used for replacement. Plasma exchange was performed with a cell separator by discontinuous flow centrifugation with 4% acid citrate dextrose as an anticoagulant. For each session of plasmapheresis, 16 cycles of exchange (each processing approximately 300 mL of blood) was carried out, the entire process lasting for 4 hours. The coagulation and biochemical profile was checked after each session of plasmapheresis and corrected when necessary. The patient underwent 9 sessions of plasmapheresis over a 3-week period, synchronized with pulse intravenous cyclophosphamide (15 mg/kg) immediately after completion of the plasmapheresis sessions, resulting in a remarkable decrease in pathogenic antibody titers to near undetectable levels and clinical improvement (Figure 3). The extensive erosions gradually healed with good reepithelialization, and there was a notable reduction in the ABSIS score to 12 points. He received 3 more monthly treatments with pulse intravenous cyclophosphamide (15 mg/kg) and is currently maintained on oral cyclophosphamide (2 mg/kg daily) and low-dose prednisolone (0.3 mg/kg daily). There was no subsequent disease relapse at 6-month follow-up, with the ABSIS score maintained at 5 points, and no increase in pathogenic autoantibody titers. The patient subsequently was lost to follow-up.

 

 

Patients with severe disease or refractory cases of pemphigus vulgaris that have been maintained on unacceptably high doses of corticosteroids or immunosuppressants that cannot be tapered without a disease flare may develop remarkable adverse effects, both from medications and from long-term immunosuppression.2 Our case illustrates the short-term benefit of plasmapheresis combined with immunosuppressants resulting in rapid disease control.

Plasmapheresis involves the selective removal of pathogenic materials from the circulation to achieve therapeutic effect, followed by appropriate replacement fluids. Treating pemphigus vulgaris with plasmapheresis was introduced in 1978 based on the rationale of removing pathogenic autoantibodies from the circulation.3,5 Using desmoglein enzyme-linked immunosorbent assay, it has been shown that one centrifugal plasmapheresis procedure eliminates approximately 15% of the IgG autoantibodies from the whole body.6 An average of 5 plasmapheresis sessions on alternate days usually is required to deplete the levels of pathogenic autoantibodies to near undetectable levels.7 Our case required 9 plasmapheresis sessions over 3 weeks to achieve good therapeutic response.

It seems that using plasmapheresis to treat pemphigus vulgaris has fallen out of favor due to its inability to prevent the antibody rebound occurring during weeks 1 and 2 posttreatment. Because of a feedback mechanism, a massive antibody depletion by plasmapheresis triggers a rebound synthesis of more autoantibodies by pathogenic B cells to titers comparable to or higher than those before plasmapheresis.8 The use of plasmapheresis should be supported by immunosuppressive therapy to prevent antibody feedback rebound. Due to the advent of available immunosuppressive agents in recent years, there is a resurgence in the successful use of this old treatment modality combined with immunosuppressive therapy in managing refractory pemphigus vulgaris.7,8 At present there is no clear data to support the use of one immunosuppressant versus another, but our case supports the use of pulse intravenous cyclophosphamide, as documented in other reports.7,9 The success of immunosuppressive agents at reducing antibody levels depends on the timing (immediately after plasmapheresis) as well as individual responsiveness to the immunosuppressant.7

Our armamentarium of therapies for refractory pemphigus vulgaris continues to evolve. A more selective method of removing antibodies by extracorporeal immunoadsorption has the benefit of higher removal rates and reduced inadvertent loss of other plasma components.10 The combination of protein A immunoadsorption with rituximab, a monoclonal anti-CD20 antibody that induces B-cell depletion, also has been shown to induce rapid and durable remission in refractory cases.11

Our case shows that plasmapheresis can be a useful alternative or adjunctive intervention in pemphigus vulgaris that is not responding to conventional therapy or in cases when steroids or immunosuppressants are contraindicated. There is a definite role for such therapeutic plasma exchanges in the rapid control of potentially life-threatening disease. Its benefits are optimized when used in synchrony with immunosuppressants immediately following plasmapheresis to prevent rebound effect of antibody depletion.

To the Editor:

Pemphigus vulgaris is an uncommon autoimmune blistering dermatosis characterized by painful mucocutaneous erosions. It can be a life-threatening condition if left untreated. The autoimmune process is mediated by autoantibodies against the keratinocyte surface antigens desmoglein 1 and 3.1 Therapy is directed at lowering autoantibody levels with systemic corticosteroids and immunosuppressive agents. Use of these agents often is limited by collateral adverse effects.2 Refractory disease may occur despite the use of high-dose corticosteroids or a combination of other immunosuppressants. The level of these pathogenic autoantibodies generally parallels the extent of disease activity, and removing them with plasmapheresis followed by immunosuppression should result in therapeutic response.3 We report a case of refractory pemphigus vulgaris that was controlled with plasmapheresis used in synchrony with pulse cyclophosphamide.

A 48-year-old Chinese man first presented with mucocutaneous erosions 2 years ago, and a diagnosis of pemphigus vulgaris was confirmed based on typical histologic and immunofluorescence features. Histologic features included suprabasal acantholysis with an intraepidermal blister as well as basal keratinocytes attached to the dermal papillae and present along the entire dermoepidermal junction (Figure 1). Direct immunofluorescence demonstrated intercellular deposits of IgG and complements in the lower epidermis, and indirect immunofluorescence showed the presence of the pathogenic pemphigus autoantibodies. The patient was initially treated with prednisolone (up to 1 mg/kg daily) and mycophenolate mofetil (1 g twice daily) for 6 months with moderate disease response. Two months later he experienced a disease flare that was triggered by sun exposure and concomitant herpes simplex virus infection. He achieved moderate disease control with acyclovir, 3 days of intravenous immunoglobulin, and combination prednisolone and azathioprine. There was no other relevant medical history. For the last year, the patient received continuous prednisolone (varying doses 0.5–1 mg/kg daily), concomitant azathioprine (up to 3 mg/kg daily), and long-term prophylactic acyclovir, but he continued to have residual crusted erosions over the scalp and face (best score of 25 points based on the autoimmune bullous skin disorder intensity score [ABSIS] ranging from 0–150 points4). He was admitted at the current presentation with another, more severe disease flare with extensive painful erosions over the trunk, arms, legs, face, and scalp (80% body surface area involvement and ABSIS score of 120 points)(Figure 2)4 that occurred after azathioprine was temporarily ceased for 1 week due to transaminitis, and despite a temporary increment in prednisolone dose. There was, however, no significant oral mucosal involvement. The desmoglein 1 and 3 antibody levels were elevated at more than 300 U/mL and 186 U/mL, respectively (>20 U/mL indicates positivity). A 3-day course of pulse intravenous methylprednisolone (10 mg/kg) failed to achieve clinical improvement or reduction of antibody titers. The use of various immunosuppressive agents was limited by persistent transaminitis and transient leukopenia.

Figure 1. Histologic features of pemphigus vulgaris including suprabasal acantholysis with an intraepidermal blister as well as basal keratinocytes attached to the dermal papillae and present along the entire dermoepidermal junction (H&E, original magnification ×40).

Figure 2. Acute flare of pemphigus vulgaris with extensive erosions of the trunk and arms (80% body surface area involvement).

Figure 3. Clinical improvement of pemphigus vulgaris after 9 sessions of plasmapheresis synchronized with pulse intravenous cyclophosphamide over a 3-week period. The erosions were almost completely reepithelialized.

Because of remarkable morbidity, the patient underwent interim plasmapheresis for rapid disease control. Plasmapheresis was carried out through a pheresible central venous catheter. One plasma volume exchange was done each session, which was 5 L for the patient’s body weight and hematocrit. Equal volume of colloid comprising 2.5 L of fresh frozen plasma and 2.5 L of 5% albumin was used for replacement. Plasma exchange was performed with a cell separator by discontinuous flow centrifugation with 4% acid citrate dextrose as an anticoagulant. For each session of plasmapheresis, 16 cycles of exchange (each processing approximately 300 mL of blood) was carried out, the entire process lasting for 4 hours. The coagulation and biochemical profile was checked after each session of plasmapheresis and corrected when necessary. The patient underwent 9 sessions of plasmapheresis over a 3-week period, synchronized with pulse intravenous cyclophosphamide (15 mg/kg) immediately after completion of the plasmapheresis sessions, resulting in a remarkable decrease in pathogenic antibody titers to near undetectable levels and clinical improvement (Figure 3). The extensive erosions gradually healed with good reepithelialization, and there was a notable reduction in the ABSIS score to 12 points. He received 3 more monthly treatments with pulse intravenous cyclophosphamide (15 mg/kg) and is currently maintained on oral cyclophosphamide (2 mg/kg daily) and low-dose prednisolone (0.3 mg/kg daily). There was no subsequent disease relapse at 6-month follow-up, with the ABSIS score maintained at 5 points, and no increase in pathogenic autoantibody titers. The patient subsequently was lost to follow-up.

 

 

Patients with severe disease or refractory cases of pemphigus vulgaris that have been maintained on unacceptably high doses of corticosteroids or immunosuppressants that cannot be tapered without a disease flare may develop remarkable adverse effects, both from medications and from long-term immunosuppression.2 Our case illustrates the short-term benefit of plasmapheresis combined with immunosuppressants resulting in rapid disease control.

Plasmapheresis involves the selective removal of pathogenic materials from the circulation to achieve therapeutic effect, followed by appropriate replacement fluids. Treating pemphigus vulgaris with plasmapheresis was introduced in 1978 based on the rationale of removing pathogenic autoantibodies from the circulation.3,5 Using desmoglein enzyme-linked immunosorbent assay, it has been shown that one centrifugal plasmapheresis procedure eliminates approximately 15% of the IgG autoantibodies from the whole body.6 An average of 5 plasmapheresis sessions on alternate days usually is required to deplete the levels of pathogenic autoantibodies to near undetectable levels.7 Our case required 9 plasmapheresis sessions over 3 weeks to achieve good therapeutic response.

It seems that using plasmapheresis to treat pemphigus vulgaris has fallen out of favor due to its inability to prevent the antibody rebound occurring during weeks 1 and 2 posttreatment. Because of a feedback mechanism, a massive antibody depletion by plasmapheresis triggers a rebound synthesis of more autoantibodies by pathogenic B cells to titers comparable to or higher than those before plasmapheresis.8 The use of plasmapheresis should be supported by immunosuppressive therapy to prevent antibody feedback rebound. Due to the advent of available immunosuppressive agents in recent years, there is a resurgence in the successful use of this old treatment modality combined with immunosuppressive therapy in managing refractory pemphigus vulgaris.7,8 At present there is no clear data to support the use of one immunosuppressant versus another, but our case supports the use of pulse intravenous cyclophosphamide, as documented in other reports.7,9 The success of immunosuppressive agents at reducing antibody levels depends on the timing (immediately after plasmapheresis) as well as individual responsiveness to the immunosuppressant.7

Our armamentarium of therapies for refractory pemphigus vulgaris continues to evolve. A more selective method of removing antibodies by extracorporeal immunoadsorption has the benefit of higher removal rates and reduced inadvertent loss of other plasma components.10 The combination of protein A immunoadsorption with rituximab, a monoclonal anti-CD20 antibody that induces B-cell depletion, also has been shown to induce rapid and durable remission in refractory cases.11

Our case shows that plasmapheresis can be a useful alternative or adjunctive intervention in pemphigus vulgaris that is not responding to conventional therapy or in cases when steroids or immunosuppressants are contraindicated. There is a definite role for such therapeutic plasma exchanges in the rapid control of potentially life-threatening disease. Its benefits are optimized when used in synchrony with immunosuppressants immediately following plasmapheresis to prevent rebound effect of antibody depletion.

References

1. Udey MC, Stanley JR. Pemphigus–disease of antidesmosomal autoimmunity. JAMA. 1999;282:572-576.

2. Huilgol SC, Black MM. Management of the immunobullous disorders. II. pemphigus. Clin Exp Dermatol. 1995;20:283-293.

3. Cotterill JA, Barker DJ, Millard LG. Plasma exchange in the treatment of pemphigus vulgaris. Br J Dermatol. 1978;98:243.

4. Pfutze M, Niedermeier A, Hertl M, et al. Introducing a novel Autoimmune Bullous Skin Disorder Intensity Score (ABSIS) in pemphigus [published online ahead of print February 27, 2007]. Eur J Dermatol. 2007;17:4-11.

5. Ruocco V, Rossi A, Argenziano G, et al. Pathogenicity of the intercellular antibodies of pemphigus their periodic removal from the circulation by plasmapheresis. Br J Dermatol. 1978;98:237-241.

6. Nagasaka T, Fujii Y, Ishida A, et al. Evaluating efficacy of plasmapheresis for patients with pemphigus using desmoglein enzyme-linked immunosorbent assay [published online ahead of print January 30, 2008]. Br J Dermatol. 2008;158:685-690.

7. Turner MS, Sutton D, Sauder DN. The use of plasmapheresis and immunosuppression in the treatment of pemphigus vulgaris. J Am Acad Dermatol. 2000;43:1058-1064.

8. Roujeau JC, Andre C, Joneau Fabre M, et al. Plasma exchange in pemphigus. uncontrolled study of ten patients. Arch Dermatol. 1983;119:215-221.

9. Euler HH, Löffler H, Christophers E. Synchronization of plasmapheresis and pulse cyclophosphamide therapy in pemphigus vulgaris. Arch Dermatol. 1987;123:1205-1210.

10. Lüftl M, Stauber A, Mainka A, et al. Successful removal of pathogenic autoantibodies in pemphigus by immunoadsorption with a tryptophan-linked polyvinylalcohol adsorber. Br J Dermatol. 2003;149:598-605.

11. Shimanovich I, Nitschke M, Rose C, et al. Treatment of severe pemphigus with protein A immunoadsorption, rituximab and intravenous immunoglobulins. Br J Dermatol. 2008;158:382-388.

References

1. Udey MC, Stanley JR. Pemphigus–disease of antidesmosomal autoimmunity. JAMA. 1999;282:572-576.

2. Huilgol SC, Black MM. Management of the immunobullous disorders. II. pemphigus. Clin Exp Dermatol. 1995;20:283-293.

3. Cotterill JA, Barker DJ, Millard LG. Plasma exchange in the treatment of pemphigus vulgaris. Br J Dermatol. 1978;98:243.

4. Pfutze M, Niedermeier A, Hertl M, et al. Introducing a novel Autoimmune Bullous Skin Disorder Intensity Score (ABSIS) in pemphigus [published online ahead of print February 27, 2007]. Eur J Dermatol. 2007;17:4-11.

5. Ruocco V, Rossi A, Argenziano G, et al. Pathogenicity of the intercellular antibodies of pemphigus their periodic removal from the circulation by plasmapheresis. Br J Dermatol. 1978;98:237-241.

6. Nagasaka T, Fujii Y, Ishida A, et al. Evaluating efficacy of plasmapheresis for patients with pemphigus using desmoglein enzyme-linked immunosorbent assay [published online ahead of print January 30, 2008]. Br J Dermatol. 2008;158:685-690.

7. Turner MS, Sutton D, Sauder DN. The use of plasmapheresis and immunosuppression in the treatment of pemphigus vulgaris. J Am Acad Dermatol. 2000;43:1058-1064.

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Issue
Cutis - 95(3)
Issue
Cutis - 95(3)
Page Number
E17-E19
Page Number
E17-E19
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Plasmapheresis in Refractory Pemphigus Vulgaris: Revisiting an Old Treatment Modality Used in Synchrony With Pulse Cyclophosphamide
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Plasmapheresis in Refractory Pemphigus Vulgaris: Revisiting an Old Treatment Modality Used in Synchrony With Pulse Cyclophosphamide
Legacy Keywords
bullous disorders, immunosuppression, pemphigus vulgaris, plasmapheresis, plasma exchange
Legacy Keywords
bullous disorders, immunosuppression, pemphigus vulgaris, plasmapheresis, plasma exchange
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