Outcomes Comparison of the Veterans’ Choice Program With the Veterans Affairs Health Care System for Hepatitis C Treatment

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Population studies show high prevalence of chronic hepatitis C virus (HCV) infection among veterans, especially Vietnam War era veterans.1,2 The development of safe and efficacious direct-acting antiviral (DAA) medications to treat HCV infection made the majority of those infected eligible for treatment. However, the large number of veterans needing DAA treatment stressed the resources of the US Department of Veterans Affairs (VA) health care system. This occurred while Congress was focused on reducing wait times for veterans receiving care at the VA.

Congress passed the Veterans Access, Choice, and Accountability Act on August 7, 2014, leading to the creation of the Veterans Choice Program. Legislators felt there were inappropriate delays in care at the VA, and the Choice program was meant to address this problem and provide an “apples-to-apples comparison [of the VA] with non-VA hospitals.”3

Congress acknowledged the importance of curing HCV in the veteran population and allocated $1.5 billion for fiscal year (FY) 2016 for DAAs. The VA Central Office (VACO) carefully monitored these resources. The first policy memorandum from VACO for HCV care, issued on May 21, 2015, recommended that the sickest patients who will benefit from the treatment “receive priority over those who are less ill.”4,5 Those who met criteria for advanced liver disease were prioritized for treatment at the VA, while those who did not meet criteria were given the option of receiving treatment through Choice, or waiting for a change in policy.6 Over time, revisions to the guidelines relaxed the criteria for VA treatment eligibility, and on February 24, 2016, all restrictions on HCV treatment at the VA were lifted.7,8

The aim of this study was to provide a comparison of VA and non-VA care, specifically to determine whether care provided through Choice was timelier and more cost effective than care provided by the VA, and whether there was a quality difference. The high prevalence among veterans, wellestablished standards of care, and finite treatment course with clear indicators of success and failure makes HCV treatment an ideal disease with which to make this comparison.

Methods

We retrospectively analyzed the VA electronic health records of all veterans seen in the VA Loma Linda Healthcare System (VALLHCS) Hepatology clinic for chronic HCV infection during FY 2016 who were referred to Choice for HCV treatment. One hundred veterans met these criteria, encompassing the Choice population; 71 were seen at least once by a non-VA (Choice) health care provider (HCP) and 61 completed a treatment regimen through Choice. Treatment completion was defined as cessation of medication after the planned duration of therapy, or early termination of medication without resumption by that HCP. The Choice population was matched to an equal number of veterans who received HCV treatment from VALLHCS HCPs.

Data collected included age, gender, HCV genotype, determinants of liver fibrosis, and treatment success (defined as sustained virologic response at 12 weeks after the last dose of medication [SVR12]). Determinants of liver fibrosis included documented cirrhosis or complications of cirrhosis, Fibrosis-4 score (Fib-4), and platelet count.

Treatment failures were categorized as nonresponse (defined as detectable HCV viral load at the end of treatment), relapse (defined as an undetectable HCV viral load at the end of treatment with a subsequent positive test), and early termination (defined as a failure to complete the planned treatment regimen). Documented patient nonadherence, medical comorbidities that affected the treatment protocol, mental health diagnoses, and active social issues (defined as active or history of heavy alcohol use, active or history of illicit drug use, lack of social support, and homelessness) were noted.

 

 

Timeliness of delivery of care was measured in days. For the VA group, the wait time was defined as the date the consult for HCV treatment was placed to the date of the initial appointment with the HCV treatment provider. For the Choice group, the wait time was defined as the date the referral to the Choice program was made to the date of the initial appointment with the Choice HCP. Treatment regimens were evaluated for appropriateness based on guidelines from VACO and the American Association for the Study of Liver Diseases.9-11

Tests performed by Choice providers were evaluated for whether they were relevant to HCV care and whether similar data already were available from VALLHCS. Tests that were not indicated were identified as unnecessary costs incurred by the Choice program, as were tests that had to be repeated at the VA because of a lack of documentation from the Choice provider. All medications given inappropriately were considered added costs. Medicare reimbursement rates for the most applicable Current Procedural Terminology (CPT) code and VA national contract pricing for medications were used for calculations. This study was approved by the VALLHCS institutional review board.

Statistical Analysis

IBM (Armonk, NY) Statistical Package for Social Sciences software was used to evaluate for differences in Fib-4, platelet count, prevalence of cirrhosis, prevalence of medical comorbidities, prevalence of mental health comorbidities, prevalence of the social issues defined in the Methods section, time from referral to time of appointment date, and SVR12 rate between the VA and Choice groups.

Exclusions

There were 15 veterans in the VA group who had a wait time of > 100 days. Of these, 5 (33%) were initially Choice referrals, but due to negative interactions with the Choice provider, the veterans returned to VALLHCS for care. Two of the 15 (13%) did not keep appointments and were lost to follow up. Six of the 15 (40%) had medical comorbidities that required more immediate attention, so HCV treatment initiation was deliberately moved back. The final 2 veterans scheduled their appointments unusually far apart, artificially increasing their wait time. Given that these were unique situations and some of the veterans received care from both Choice and VA providers, a decision was made to exclude these individuals from the study.

It has been shown that platelet count correlates with degree of liver fibrosis, a concept that is the basis for the Fib-4 scoring system.12 Studies have shown that platelet count is a survival predictor in those with cirrhosis, and thrombocytopenia is a negative predictor of HCV treatment success using peginterferon and ribavirin13,14 Therefore, the VA memorandum automatically assigned the sickest individuals to the VA for HCV treatment. The goal of this study was to compare the impact of factors other than stage of fibrosis on HCV treatment success, which is why the 12 veterans with platelet count < 100,000 in the VA group were excluded. There were no veterans with platelet count < 100,000 in the Choice group.

When comparing SVR12 rates between the VA and Choice groups, every veteran treated at VALLHCS in FY 2016 was included, increasing the number in the VA group from 100 to 320 and therefore the power of this comparison.

Results

A summary of the statistical analysis can be found in Table 1. The genotype distribution was consistent with epidemiological studies, including those specific to veterans.15,16 There were statistically significant differences (P < .001) in mean Fib-4 and mean platelet count. The VA group had a higher Fib-4 and lower platelet count. Seventy-four percent of the VA population was defined as cirrhotic, while only 3% of the Choice population met similar criteria (P < .001). The VA and Choice groups were similar in terms of age, gender, and genotype distribution (Table 2).

The VA group was found to have a higher prevalence of comorbidities that affected HCV treatment. These conditions included but were not limited to: chronic kidney disease that precluded the use of certain medications, any condition that required medication with a known interaction with DAAs (ie, proton pump inhibitors, statins, and amiodarone), and cirrhosis if it impacted the treatment regimen. The difference in the prevalence of mental health comorbidities was not significant (P = .39), but there was a higher prevalence of social issues among the VA group (P = .002).

 

 

The mean wait time from referral to appointment was 28.6 days for the VA group and 42.3 days for the Choice group (P < .001), indicating that a Choice referral took longer to complete than a referral within the VA for HCV treatment. Thirty of the 71 (42%) veterans seen by a Choice provider accrued extraneous cost, with a mean additional cost of $8,561.40 per veteran. In the Choice group, 61 veterans completed a treatment regimen with the Choice HCP. Fifty-five veterans completed treatment and had available SVR12 data (6 were lost to follow up without SVR12 testing) and 50 (91%) had confirmed SVR12. The charts of the 5 treatment failures were reviewed to discern the cause for failure. Two cases involved early termination of therapy, 3 involved relapse and 2 failed to comply with medication instructions. There was 1 case of the Choice HCP not addressing simultaneous use of ledipasvir and a proton pump inhibitor, potentially causing an interaction, and 1 case where both the VA and Choice providers failed to recognize indicators of cirrhosis, which impacted the regimen used.

In the VALLHCS group, records of 320 veterans who completed treatment and had SVR12 testing were reviewed. While the Choice memorandum was active, veterans selected to be treated at VALLHCS had advanced liver fibrosis or cirrhosis, medical and mental health comorbidities that increased the risk of treatment complications or were considered to have difficulty adhering to the medication regimen. For this group, 296 (93%) had confirmed SVR12. Eighteen of the 24 (75%) treatment failures were complicated by nonadherence, including all 13 cases of early termination. One patient died from complications of decompensated cirrhosis before completing treatment, and 1 did not receive HCV medications during a hospital admission due to poor coordination of care between the VA inpatient and outpatient pharmacy services, leading to multiple missed doses.

The difference in SVR12 rates (ie, treatment failure rates), between the VA and Choice groups was not statistically significant (P = .61). None of the specific reasons for treatment failure had a statistically significant difference between groups. A treatment failure analysis is shown in Table 3, and Table 4 indicates the breakdown of treatment regimens.

Discussion

The Veterans Health Administration (VHA) is the largest integrated health care system in the US, consisting of 152 medical centers and > 1,700 sites of care. The VA has the potential to meet the health care needs of 21.6 million veterans. About 9 million veterans are enrolled in the VA system and 5.9 million received health care through VHA.17 However, every medical service cannot realistically be made available at every facility, and some veterans have difficulty gaining access to VHA care; distance and wait times have been well-publicized issues that need further exploration.18,19 The Choice program is an attempt to meet gaps in VA coverage using non-VA HCPs.

HCV infection is a specific diagnosis with national treatment guidelines and wellstudied treatments; it can be cured, with an evidence- based definition of cure. The VACO policy memorandum to refer less sick veterans to Choice while treating sicker veterans at the VA provided the opportunity to directly compare the quality of the 2 programs. The SVR12 rates of VALLHCS and Choice providers were comparable to the national average at the time, and while the difference in SVR12 rate was not significant, VALLHCS treated a significantly higher number of patients with cirrhosis because of the referral criteria.20

The significant difference in medical comorbidities between the VA and Choice groups was not surprising, partly because of the referral criteria. Cirrhosis can impact the treatment regimen, especially in regard to use of ribavirin. Since the presence of mental health comorbidities did not affect selection into the Choice group, it makes sense that there was no significant difference in prevalence between the groups.

VACO allowed veterans with HCV treatment plans that VA HCPs felt were too complicated for the Choice program to be treated by VHA HCPs.9 VALLHCS exercised this right for veterans at risk for nonadherence, because in HCV treatment, nonadherence leads to treatment failure and development of drug resistant virus strains. Therefore, veterans who would have difficulty traveling to VALLHCS to pick up medications, those who lacked means of communication (such as those who were homeless), and those who had active substance abuse were treated at the VA, where closer monitoring and immediate access to a wide range of services was possible. Studies have confirmed the impact of these types of issues on HCV treatment adherence and success. 21 This explains the higher prevalence of social issues in the VA group.

 

 

For an internal referral for HCV treatment at VALLHCS, the hepatology provider submits a consult request to the HCV treatment provider, who works in the same office, making direct communication simple. The main administrative limiting factor to minimizing wait times is the number of HCPs, which is dependent on hiring allowances.

When a veteran is referred to Choice, the VA provider places a consult for non-VA care, which the VA Office of Community Care processes by compiling relevant documents and sending the package to Triwest Healthcare Alliance, a private insurance processor contracted with the VA. Triwest selects the Choice provider, often without any input from the VA, and arranges the veteran’s initial appointment.22 Geographic distance to the veteran’s address is the main selection criteria for Triwest. Documents sent between the Choice and VA HCPs go through the Office of Community Care and Triwest. This significantly increases the potential for delays and failed communication. Triwest had a comprehensive list of providers deemed to be qualified to treat HCV within the geographic catchment of VALLHCS. This list was reviewed, and all veterans referred to Choice had HCPs near their home address; therefore, availability of Choice HCPs was not an issue.

The VA can provide guidance on management of the veteran in the form of bundle packages containing a list of services for which the Choice provider is authorized to provide, and ones the Choice provider is not authorized to provide. Some Choice HCPs ordered tests that were not authorized for HCV treatment such as esophagogastroduodenoscopy, colonoscopy, and liver biopsy. In all, 17 of 71 (24%) veterans seen by Choice HCPs had tests performed or ordered that VA HCPs would not have obtained for the purpose of HCV treatment (Table 5).

In order to prevent veterans from receiving unnecessary tests, a VALLHCS hepatologist asked to be notified by VA administrators overseeing Choice referrals whenever a secondary authorization request (SAR) was submitted by a Choice HCP. This strategy is not standard VA practice, therefore at many VA sites these requested tests would have been performed by the Choice HCP, which is why SARs were factored into cost analysis.

SVR12 test results that were drawn too early and had to be repeated at VALLHCS were a cost unique to the Choice program. Duplicate tests, particularly imaging studies and blood work, were extraneous costs. The largest extraneous costs were treatment regimens prescribed by Choice HCPs that did not follow standard of care and required VA provider intervention. Thirty of the 71 (42%) veterans seen by a Choice provider accrued a mean $8,561.40 in extra costs. As a result, the Choice program cost VHA $250,000 more to provide care for 30 veterans (enough to pay for a physician’s annual salary).

Some inappropriate treatment regimens were the result of Choice HCP error, such as 1 case in which a veteran was inadvertently switched from ledipasvir/sofosbuvir to ombitasvir/ paritaprevir/ritonavir/dasabuvir after week 4. The veteran had to start therapy over but still achieved SVR12. Other cases saw veterans receive regimens for which they had clear contraindications, such as creatinine clearance < 30 mL/min/1.73m2 for sofosbuvir or a positive resistance panel for specific medications. Eleven of 62 (18%) veterans who were started on HCV treatment by a Choice HCP received a regimen not consistent with VA guidelines—an alarming result.

Follow up for veterans referred to Choice was extremely labor intensive, and assessment of personnel requirements in a Choice-based VA system must take this into consideration. The Choice HCP has no obligation to communicate with the VA HCP. At the time of chart review, 57 of 71 (80%) Choice veterans had inadequate documentation to make a confident assessment of the treatment outcome. Multiple calls to the offices of the Choice HCP were needed to acquire records, and veterans had to be tracked down for additional tests. Veterans often would complete treatment and stop following up with the Choice provider before SVR12 confirmation. The VA hepatology provider reviewing Choice referrals served as clinician, case manager, and clerk in order to get veterans to an appropriate end point in their hepatitis C treatment, with mostly unmeasured hours of work.

 

 

Limitations

The study population size was limited by the number of veterans able to complete treatment through Choice. The parameters in the VACO policy memos automatically selected the VA and Choice groups but made them clinically distinct populations. New treatment medications were released during the study period, which impacted management strategy. Occasionally, VA and non- VA HCPs preferred different treatment regimens, leading to variation in the distribution of regimens used despite similar genotype distribution (Tables 2 and 4). In addition, a retrospective study is at risk for recall bias. A prospective study randomizing veterans to the Choice and VA groups is an important future endeavor. Comparing veteran satisfaction for Choice and VA services is also crucial.

Conclusions

This study demonstrates that the VA was able to provide more cost-effective and more timely care for HCV treatment to a relatively sicker population with no reduction in treatment success when compared with non-VA HCPs through the Choice program. While the Choice program can help veterans receive services they may otherwise not have access to and reduce travel time, the current system introduces inefficiencies that delay care and decrease cost-effectiveness. The Choice HCP selection process is based on proximity rather than quality, which may place the veteran at risk for receiving substandard care. Large-scale quality of care studies that compare efficiency measures, clinical outcomes, patient demographics, travel distance, cost efficacy and patient satisfaction for veterans receiving similar services at a VA facility and through Choice should be performed to ensure that veterans receive the best care available.

References

1. Denniston MM, Jiles RB, Drobeniuc J, et al. Chronic hepatitis C virus infection in the United States, National Health and Nutrition Examination Survey 2003 to 2010. Ann Intern Med. 2014;160(5):293-300. doi:10.7326/M13-1133

2. Dominitz JA, Boyko EJ, Koepsell TD, et al. Elevated prevalence of hepatitis C infection in users of United States veterans medical centers. Hepatology. 2005;41(1):88-96. doi:10.1002/hep.20502

3. Veterans Access, Choice, and Accountability Act of 2014. 42 USC §1395 (2014).

4. Tuchschmidt J. Attachment C: Provision of hepatitis C treatment. US Department of Veterans Affairs Central Office Memorandum from the Principal Deputy Under Secretary for Health. http://vaww.hepatitis.va.gov/education /choice-provision-hcv-treatment.asp. Published May 21, 2015. [Nonpublic site.]

5. Tuchschmidt J. Attachment A: Provision of hepatitis C (HCV) treatment through the Choice program. US Department of Veterans Affairs Central Office Memorandum from the Principal Deputy Under Secretary for Health. http:// vaww.hepatitis.va.gov/pdf/choice-attachment-a-FY16 .pdf. Published May 21, 2015. [Nonpublic site.]

6. Tuchschmidt J. Attachment B: Initiation of hepatitis C virus (HCV) treatment: protocol for prioritization. US Department of Veterans Affairs Central Office Memorandum from the Principal Deputy Under Secretary for Health. http://vaww .hepatitis.va.gov/pdf/provision-HCV-treatment-attach ment-b.pdf. Published May 21, 2015. [Nonpublic site.]

7. Murphy, JP. Hepatitis C virus funding and prioritization status. US Department of Veterans Affairs Central Office Memorandum from the Assistant Deputy Under Secretary for Health for Clinical Operations. http://vaww.hepatitis .va.gov/education/choice-memo-hcv-funding-and -prioritization-status-01272016.asp. Published January 27, 2016. [Nonpublic site.]

8. Lynch TJ, McCarthy MF. Hepatitis C virus funding and prioritization status update. US Department of Veterans Affairs Central Office Memorandum from the Assistant Deputy Under Secretary for Health for Clinical Operations and Acting Assistant Deputy Under Secretary for Health for Patient Care Services. http://vaww.hepatitis.va.gov /education/choice-funding-update-feb-2016.asp. Published February 24, 2016. [Nonpublic site.]

9. Morgan TR, Yee H; US Department of Veterans Affairs National Hepatitis C Resource Center Program and the National Viral Hepatitis Program in the Office of Patient Care Services. Chronic hepatitis C virus (HCV) infection: treatment considerations. http://vaww.hepatitis.va.gov /pdf/treatment-considerations-2016-03-28.pdf. Published March 28, 2016. [Nonpublic site.]

10. American Association for the Study of Liver Diseases; Infectious Diseases Society of America. Initial Treatment Box. http://hcvguidelines.org/full-report/initial-treatment -box-summary-recommendations-patients-who-are -initiating-therapy-hcv. Updated November 6, 2019. Accessed May 11, 2020.

11. AASLD/IDSA HCV Guidance Panel. Hepatitis C guidance: AASLD-IDSA recommendations for testing, managing, and treating adults infected with hepatitis C virus. Hepatology. 2015;62(3): 932-954. doi:10.1002/hep.27950

12. Sterling RK, Lissen E, Clumeck N, et al. Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection. Hepatology. 2006; 43(6):1317-1325. doi:10.1002/hep.21178

13. Realdi G, Fattovich G, Hadziyannis S, et al. Survival and prognostic factors in 366 patients with compensated cirrhosis type B: a multicenter study. The Investigators of the European Concerted Action on Viral Hepatitis (EUROHEP). J Hepatol. 1994;21(4):656-666. doi:10.1016/s0168 -8278(94)80115-0

14. Kanda T, Kato K, Tsubota A, et al. Platelet count and sustained virological response in hepatitis C treatment. World J Hepatol. 2013;5(4):182-188. doi:10.4254/wjh.v5.i4.182

15. Manos MM, Shvachko VA, Murphy RC, Arduino JM, Shire NJ. Distribution of hepatitis C virus genotypes in a diverse US integrated health care population. J Med Virol. 2012;84(11):1744-1750. doi:10.1002/jmv.23399

16. Cheung RC. Epidemiology of hepatitis C virus infection in American veterans. Am J Gastroenterol. 2000;95(3): 740-747. doi:10.1111/j.1572-0241.2000.01854.x

17. Bagalman E. The number of Veterans that use VA health care services: a fact sheet. Congressional Research Service Report R43579. https://fas.org/sgp/crs/misc/R43579.pdf. Published June 3, 2014. Accessed May 11, 2020.

18. US General Accounting Office. Report to the Ranking Minority Member, Subcommittee on Compensation, Pension, Insurance, and Memorial Affairs, Committee on Veterans’ Affairs, US House of Representatives. How distance from VA facilities affects veterans’ use of VA services. https:// www.gao.gov/assets/230/221992.pdf. Published December 1995. Accessed May 11, 2020.

19. Bronstein S, Griffin D. A fatal wait: Veterans languish and die on a VA hospital’s secret list. http://www.cnn .com/2014/04/23/health/veterans-dying-health-care -delays/index.html. Published April 23, 2014. Accessed May 11, 2020.

20. Ioannou GN, Beste LA, Chang MF, et al. Effectiveness of sofosbuvir, ledipasvir/sofosbuvir, or paritaprevir/ritonavir/ ombitasvir and dasabuvir regimens for treatment of patients with hepatitis C in the Veterans Affairs national health care system. Gastroenterology. 2016;151(3):457- 471. doi:10.1053/j.gastro.2016.05.049

21. Malespin MH, Harris C, Kanar O, et al. Barriers to treatment of chronic hepatitis C with direct acting antivirals in an urban clinic. Ann Hepatol. 2019;18(2):304-309. doi:10.1016/j.aohep.2018.06.001

22. Tuchschmidt J. Attachment D: Hepatitis C virus (HCV) fact sheet for Veterans Choice Program for both VA and Choice providers. US Department of Veterans Affairs Central Office Memorandum from the Deputy Under Secretary for Health for Policy and Services and the Acting Deputy Undersecretary for Health for Operations and Management. http://vaww .hepatitis.va.gov/educatiochoice-provision-HCV-treatment -additional.asp. [Nonpublic site.]

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Daniel Chao, Chitra Damodaran, Richard Strong, and Christian Jackson are Physicians; and Linda Tran is a Pharmacist; all in the Gastroenterology Section at VA Loma Linda Healthcare System in California. Hema Buddha is a Clinical Research Program Administrator at the University of California, Riverside. Daniel Chao, Chitra Damodaran, and Christian Jackson are Assistant Professors of Medicine and Richard Strong is an Associate Professor of Medicine, at Loma Linda University in California.
Correspondence: Daniel Chao ([email protected])

Author Disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations— including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Author and Disclosure Information

Daniel Chao, Chitra Damodaran, Richard Strong, and Christian Jackson are Physicians; and Linda Tran is a Pharmacist; all in the Gastroenterology Section at VA Loma Linda Healthcare System in California. Hema Buddha is a Clinical Research Program Administrator at the University of California, Riverside. Daniel Chao, Chitra Damodaran, and Christian Jackson are Assistant Professors of Medicine and Richard Strong is an Associate Professor of Medicine, at Loma Linda University in California.
Correspondence: Daniel Chao ([email protected])

Author Disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations— including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Author and Disclosure Information

Daniel Chao, Chitra Damodaran, Richard Strong, and Christian Jackson are Physicians; and Linda Tran is a Pharmacist; all in the Gastroenterology Section at VA Loma Linda Healthcare System in California. Hema Buddha is a Clinical Research Program Administrator at the University of California, Riverside. Daniel Chao, Chitra Damodaran, and Christian Jackson are Assistant Professors of Medicine and Richard Strong is an Associate Professor of Medicine, at Loma Linda University in California.
Correspondence: Daniel Chao ([email protected])

Author Disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations— including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Population studies show high prevalence of chronic hepatitis C virus (HCV) infection among veterans, especially Vietnam War era veterans.1,2 The development of safe and efficacious direct-acting antiviral (DAA) medications to treat HCV infection made the majority of those infected eligible for treatment. However, the large number of veterans needing DAA treatment stressed the resources of the US Department of Veterans Affairs (VA) health care system. This occurred while Congress was focused on reducing wait times for veterans receiving care at the VA.

Congress passed the Veterans Access, Choice, and Accountability Act on August 7, 2014, leading to the creation of the Veterans Choice Program. Legislators felt there were inappropriate delays in care at the VA, and the Choice program was meant to address this problem and provide an “apples-to-apples comparison [of the VA] with non-VA hospitals.”3

Congress acknowledged the importance of curing HCV in the veteran population and allocated $1.5 billion for fiscal year (FY) 2016 for DAAs. The VA Central Office (VACO) carefully monitored these resources. The first policy memorandum from VACO for HCV care, issued on May 21, 2015, recommended that the sickest patients who will benefit from the treatment “receive priority over those who are less ill.”4,5 Those who met criteria for advanced liver disease were prioritized for treatment at the VA, while those who did not meet criteria were given the option of receiving treatment through Choice, or waiting for a change in policy.6 Over time, revisions to the guidelines relaxed the criteria for VA treatment eligibility, and on February 24, 2016, all restrictions on HCV treatment at the VA were lifted.7,8

The aim of this study was to provide a comparison of VA and non-VA care, specifically to determine whether care provided through Choice was timelier and more cost effective than care provided by the VA, and whether there was a quality difference. The high prevalence among veterans, wellestablished standards of care, and finite treatment course with clear indicators of success and failure makes HCV treatment an ideal disease with which to make this comparison.

Methods

We retrospectively analyzed the VA electronic health records of all veterans seen in the VA Loma Linda Healthcare System (VALLHCS) Hepatology clinic for chronic HCV infection during FY 2016 who were referred to Choice for HCV treatment. One hundred veterans met these criteria, encompassing the Choice population; 71 were seen at least once by a non-VA (Choice) health care provider (HCP) and 61 completed a treatment regimen through Choice. Treatment completion was defined as cessation of medication after the planned duration of therapy, or early termination of medication without resumption by that HCP. The Choice population was matched to an equal number of veterans who received HCV treatment from VALLHCS HCPs.

Data collected included age, gender, HCV genotype, determinants of liver fibrosis, and treatment success (defined as sustained virologic response at 12 weeks after the last dose of medication [SVR12]). Determinants of liver fibrosis included documented cirrhosis or complications of cirrhosis, Fibrosis-4 score (Fib-4), and platelet count.

Treatment failures were categorized as nonresponse (defined as detectable HCV viral load at the end of treatment), relapse (defined as an undetectable HCV viral load at the end of treatment with a subsequent positive test), and early termination (defined as a failure to complete the planned treatment regimen). Documented patient nonadherence, medical comorbidities that affected the treatment protocol, mental health diagnoses, and active social issues (defined as active or history of heavy alcohol use, active or history of illicit drug use, lack of social support, and homelessness) were noted.

 

 

Timeliness of delivery of care was measured in days. For the VA group, the wait time was defined as the date the consult for HCV treatment was placed to the date of the initial appointment with the HCV treatment provider. For the Choice group, the wait time was defined as the date the referral to the Choice program was made to the date of the initial appointment with the Choice HCP. Treatment regimens were evaluated for appropriateness based on guidelines from VACO and the American Association for the Study of Liver Diseases.9-11

Tests performed by Choice providers were evaluated for whether they were relevant to HCV care and whether similar data already were available from VALLHCS. Tests that were not indicated were identified as unnecessary costs incurred by the Choice program, as were tests that had to be repeated at the VA because of a lack of documentation from the Choice provider. All medications given inappropriately were considered added costs. Medicare reimbursement rates for the most applicable Current Procedural Terminology (CPT) code and VA national contract pricing for medications were used for calculations. This study was approved by the VALLHCS institutional review board.

Statistical Analysis

IBM (Armonk, NY) Statistical Package for Social Sciences software was used to evaluate for differences in Fib-4, platelet count, prevalence of cirrhosis, prevalence of medical comorbidities, prevalence of mental health comorbidities, prevalence of the social issues defined in the Methods section, time from referral to time of appointment date, and SVR12 rate between the VA and Choice groups.

Exclusions

There were 15 veterans in the VA group who had a wait time of > 100 days. Of these, 5 (33%) were initially Choice referrals, but due to negative interactions with the Choice provider, the veterans returned to VALLHCS for care. Two of the 15 (13%) did not keep appointments and were lost to follow up. Six of the 15 (40%) had medical comorbidities that required more immediate attention, so HCV treatment initiation was deliberately moved back. The final 2 veterans scheduled their appointments unusually far apart, artificially increasing their wait time. Given that these were unique situations and some of the veterans received care from both Choice and VA providers, a decision was made to exclude these individuals from the study.

It has been shown that platelet count correlates with degree of liver fibrosis, a concept that is the basis for the Fib-4 scoring system.12 Studies have shown that platelet count is a survival predictor in those with cirrhosis, and thrombocytopenia is a negative predictor of HCV treatment success using peginterferon and ribavirin13,14 Therefore, the VA memorandum automatically assigned the sickest individuals to the VA for HCV treatment. The goal of this study was to compare the impact of factors other than stage of fibrosis on HCV treatment success, which is why the 12 veterans with platelet count < 100,000 in the VA group were excluded. There were no veterans with platelet count < 100,000 in the Choice group.

When comparing SVR12 rates between the VA and Choice groups, every veteran treated at VALLHCS in FY 2016 was included, increasing the number in the VA group from 100 to 320 and therefore the power of this comparison.

Results

A summary of the statistical analysis can be found in Table 1. The genotype distribution was consistent with epidemiological studies, including those specific to veterans.15,16 There were statistically significant differences (P < .001) in mean Fib-4 and mean platelet count. The VA group had a higher Fib-4 and lower platelet count. Seventy-four percent of the VA population was defined as cirrhotic, while only 3% of the Choice population met similar criteria (P < .001). The VA and Choice groups were similar in terms of age, gender, and genotype distribution (Table 2).

The VA group was found to have a higher prevalence of comorbidities that affected HCV treatment. These conditions included but were not limited to: chronic kidney disease that precluded the use of certain medications, any condition that required medication with a known interaction with DAAs (ie, proton pump inhibitors, statins, and amiodarone), and cirrhosis if it impacted the treatment regimen. The difference in the prevalence of mental health comorbidities was not significant (P = .39), but there was a higher prevalence of social issues among the VA group (P = .002).

 

 

The mean wait time from referral to appointment was 28.6 days for the VA group and 42.3 days for the Choice group (P < .001), indicating that a Choice referral took longer to complete than a referral within the VA for HCV treatment. Thirty of the 71 (42%) veterans seen by a Choice provider accrued extraneous cost, with a mean additional cost of $8,561.40 per veteran. In the Choice group, 61 veterans completed a treatment regimen with the Choice HCP. Fifty-five veterans completed treatment and had available SVR12 data (6 were lost to follow up without SVR12 testing) and 50 (91%) had confirmed SVR12. The charts of the 5 treatment failures were reviewed to discern the cause for failure. Two cases involved early termination of therapy, 3 involved relapse and 2 failed to comply with medication instructions. There was 1 case of the Choice HCP not addressing simultaneous use of ledipasvir and a proton pump inhibitor, potentially causing an interaction, and 1 case where both the VA and Choice providers failed to recognize indicators of cirrhosis, which impacted the regimen used.

In the VALLHCS group, records of 320 veterans who completed treatment and had SVR12 testing were reviewed. While the Choice memorandum was active, veterans selected to be treated at VALLHCS had advanced liver fibrosis or cirrhosis, medical and mental health comorbidities that increased the risk of treatment complications or were considered to have difficulty adhering to the medication regimen. For this group, 296 (93%) had confirmed SVR12. Eighteen of the 24 (75%) treatment failures were complicated by nonadherence, including all 13 cases of early termination. One patient died from complications of decompensated cirrhosis before completing treatment, and 1 did not receive HCV medications during a hospital admission due to poor coordination of care between the VA inpatient and outpatient pharmacy services, leading to multiple missed doses.

The difference in SVR12 rates (ie, treatment failure rates), between the VA and Choice groups was not statistically significant (P = .61). None of the specific reasons for treatment failure had a statistically significant difference between groups. A treatment failure analysis is shown in Table 3, and Table 4 indicates the breakdown of treatment regimens.

Discussion

The Veterans Health Administration (VHA) is the largest integrated health care system in the US, consisting of 152 medical centers and > 1,700 sites of care. The VA has the potential to meet the health care needs of 21.6 million veterans. About 9 million veterans are enrolled in the VA system and 5.9 million received health care through VHA.17 However, every medical service cannot realistically be made available at every facility, and some veterans have difficulty gaining access to VHA care; distance and wait times have been well-publicized issues that need further exploration.18,19 The Choice program is an attempt to meet gaps in VA coverage using non-VA HCPs.

HCV infection is a specific diagnosis with national treatment guidelines and wellstudied treatments; it can be cured, with an evidence- based definition of cure. The VACO policy memorandum to refer less sick veterans to Choice while treating sicker veterans at the VA provided the opportunity to directly compare the quality of the 2 programs. The SVR12 rates of VALLHCS and Choice providers were comparable to the national average at the time, and while the difference in SVR12 rate was not significant, VALLHCS treated a significantly higher number of patients with cirrhosis because of the referral criteria.20

The significant difference in medical comorbidities between the VA and Choice groups was not surprising, partly because of the referral criteria. Cirrhosis can impact the treatment regimen, especially in regard to use of ribavirin. Since the presence of mental health comorbidities did not affect selection into the Choice group, it makes sense that there was no significant difference in prevalence between the groups.

VACO allowed veterans with HCV treatment plans that VA HCPs felt were too complicated for the Choice program to be treated by VHA HCPs.9 VALLHCS exercised this right for veterans at risk for nonadherence, because in HCV treatment, nonadherence leads to treatment failure and development of drug resistant virus strains. Therefore, veterans who would have difficulty traveling to VALLHCS to pick up medications, those who lacked means of communication (such as those who were homeless), and those who had active substance abuse were treated at the VA, where closer monitoring and immediate access to a wide range of services was possible. Studies have confirmed the impact of these types of issues on HCV treatment adherence and success. 21 This explains the higher prevalence of social issues in the VA group.

 

 

For an internal referral for HCV treatment at VALLHCS, the hepatology provider submits a consult request to the HCV treatment provider, who works in the same office, making direct communication simple. The main administrative limiting factor to minimizing wait times is the number of HCPs, which is dependent on hiring allowances.

When a veteran is referred to Choice, the VA provider places a consult for non-VA care, which the VA Office of Community Care processes by compiling relevant documents and sending the package to Triwest Healthcare Alliance, a private insurance processor contracted with the VA. Triwest selects the Choice provider, often without any input from the VA, and arranges the veteran’s initial appointment.22 Geographic distance to the veteran’s address is the main selection criteria for Triwest. Documents sent between the Choice and VA HCPs go through the Office of Community Care and Triwest. This significantly increases the potential for delays and failed communication. Triwest had a comprehensive list of providers deemed to be qualified to treat HCV within the geographic catchment of VALLHCS. This list was reviewed, and all veterans referred to Choice had HCPs near their home address; therefore, availability of Choice HCPs was not an issue.

The VA can provide guidance on management of the veteran in the form of bundle packages containing a list of services for which the Choice provider is authorized to provide, and ones the Choice provider is not authorized to provide. Some Choice HCPs ordered tests that were not authorized for HCV treatment such as esophagogastroduodenoscopy, colonoscopy, and liver biopsy. In all, 17 of 71 (24%) veterans seen by Choice HCPs had tests performed or ordered that VA HCPs would not have obtained for the purpose of HCV treatment (Table 5).

In order to prevent veterans from receiving unnecessary tests, a VALLHCS hepatologist asked to be notified by VA administrators overseeing Choice referrals whenever a secondary authorization request (SAR) was submitted by a Choice HCP. This strategy is not standard VA practice, therefore at many VA sites these requested tests would have been performed by the Choice HCP, which is why SARs were factored into cost analysis.

SVR12 test results that were drawn too early and had to be repeated at VALLHCS were a cost unique to the Choice program. Duplicate tests, particularly imaging studies and blood work, were extraneous costs. The largest extraneous costs were treatment regimens prescribed by Choice HCPs that did not follow standard of care and required VA provider intervention. Thirty of the 71 (42%) veterans seen by a Choice provider accrued a mean $8,561.40 in extra costs. As a result, the Choice program cost VHA $250,000 more to provide care for 30 veterans (enough to pay for a physician’s annual salary).

Some inappropriate treatment regimens were the result of Choice HCP error, such as 1 case in which a veteran was inadvertently switched from ledipasvir/sofosbuvir to ombitasvir/ paritaprevir/ritonavir/dasabuvir after week 4. The veteran had to start therapy over but still achieved SVR12. Other cases saw veterans receive regimens for which they had clear contraindications, such as creatinine clearance < 30 mL/min/1.73m2 for sofosbuvir or a positive resistance panel for specific medications. Eleven of 62 (18%) veterans who were started on HCV treatment by a Choice HCP received a regimen not consistent with VA guidelines—an alarming result.

Follow up for veterans referred to Choice was extremely labor intensive, and assessment of personnel requirements in a Choice-based VA system must take this into consideration. The Choice HCP has no obligation to communicate with the VA HCP. At the time of chart review, 57 of 71 (80%) Choice veterans had inadequate documentation to make a confident assessment of the treatment outcome. Multiple calls to the offices of the Choice HCP were needed to acquire records, and veterans had to be tracked down for additional tests. Veterans often would complete treatment and stop following up with the Choice provider before SVR12 confirmation. The VA hepatology provider reviewing Choice referrals served as clinician, case manager, and clerk in order to get veterans to an appropriate end point in their hepatitis C treatment, with mostly unmeasured hours of work.

 

 

Limitations

The study population size was limited by the number of veterans able to complete treatment through Choice. The parameters in the VACO policy memos automatically selected the VA and Choice groups but made them clinically distinct populations. New treatment medications were released during the study period, which impacted management strategy. Occasionally, VA and non- VA HCPs preferred different treatment regimens, leading to variation in the distribution of regimens used despite similar genotype distribution (Tables 2 and 4). In addition, a retrospective study is at risk for recall bias. A prospective study randomizing veterans to the Choice and VA groups is an important future endeavor. Comparing veteran satisfaction for Choice and VA services is also crucial.

Conclusions

This study demonstrates that the VA was able to provide more cost-effective and more timely care for HCV treatment to a relatively sicker population with no reduction in treatment success when compared with non-VA HCPs through the Choice program. While the Choice program can help veterans receive services they may otherwise not have access to and reduce travel time, the current system introduces inefficiencies that delay care and decrease cost-effectiveness. The Choice HCP selection process is based on proximity rather than quality, which may place the veteran at risk for receiving substandard care. Large-scale quality of care studies that compare efficiency measures, clinical outcomes, patient demographics, travel distance, cost efficacy and patient satisfaction for veterans receiving similar services at a VA facility and through Choice should be performed to ensure that veterans receive the best care available.

Population studies show high prevalence of chronic hepatitis C virus (HCV) infection among veterans, especially Vietnam War era veterans.1,2 The development of safe and efficacious direct-acting antiviral (DAA) medications to treat HCV infection made the majority of those infected eligible for treatment. However, the large number of veterans needing DAA treatment stressed the resources of the US Department of Veterans Affairs (VA) health care system. This occurred while Congress was focused on reducing wait times for veterans receiving care at the VA.

Congress passed the Veterans Access, Choice, and Accountability Act on August 7, 2014, leading to the creation of the Veterans Choice Program. Legislators felt there were inappropriate delays in care at the VA, and the Choice program was meant to address this problem and provide an “apples-to-apples comparison [of the VA] with non-VA hospitals.”3

Congress acknowledged the importance of curing HCV in the veteran population and allocated $1.5 billion for fiscal year (FY) 2016 for DAAs. The VA Central Office (VACO) carefully monitored these resources. The first policy memorandum from VACO for HCV care, issued on May 21, 2015, recommended that the sickest patients who will benefit from the treatment “receive priority over those who are less ill.”4,5 Those who met criteria for advanced liver disease were prioritized for treatment at the VA, while those who did not meet criteria were given the option of receiving treatment through Choice, or waiting for a change in policy.6 Over time, revisions to the guidelines relaxed the criteria for VA treatment eligibility, and on February 24, 2016, all restrictions on HCV treatment at the VA were lifted.7,8

The aim of this study was to provide a comparison of VA and non-VA care, specifically to determine whether care provided through Choice was timelier and more cost effective than care provided by the VA, and whether there was a quality difference. The high prevalence among veterans, wellestablished standards of care, and finite treatment course with clear indicators of success and failure makes HCV treatment an ideal disease with which to make this comparison.

Methods

We retrospectively analyzed the VA electronic health records of all veterans seen in the VA Loma Linda Healthcare System (VALLHCS) Hepatology clinic for chronic HCV infection during FY 2016 who were referred to Choice for HCV treatment. One hundred veterans met these criteria, encompassing the Choice population; 71 were seen at least once by a non-VA (Choice) health care provider (HCP) and 61 completed a treatment regimen through Choice. Treatment completion was defined as cessation of medication after the planned duration of therapy, or early termination of medication without resumption by that HCP. The Choice population was matched to an equal number of veterans who received HCV treatment from VALLHCS HCPs.

Data collected included age, gender, HCV genotype, determinants of liver fibrosis, and treatment success (defined as sustained virologic response at 12 weeks after the last dose of medication [SVR12]). Determinants of liver fibrosis included documented cirrhosis or complications of cirrhosis, Fibrosis-4 score (Fib-4), and platelet count.

Treatment failures were categorized as nonresponse (defined as detectable HCV viral load at the end of treatment), relapse (defined as an undetectable HCV viral load at the end of treatment with a subsequent positive test), and early termination (defined as a failure to complete the planned treatment regimen). Documented patient nonadherence, medical comorbidities that affected the treatment protocol, mental health diagnoses, and active social issues (defined as active or history of heavy alcohol use, active or history of illicit drug use, lack of social support, and homelessness) were noted.

 

 

Timeliness of delivery of care was measured in days. For the VA group, the wait time was defined as the date the consult for HCV treatment was placed to the date of the initial appointment with the HCV treatment provider. For the Choice group, the wait time was defined as the date the referral to the Choice program was made to the date of the initial appointment with the Choice HCP. Treatment regimens were evaluated for appropriateness based on guidelines from VACO and the American Association for the Study of Liver Diseases.9-11

Tests performed by Choice providers were evaluated for whether they were relevant to HCV care and whether similar data already were available from VALLHCS. Tests that were not indicated were identified as unnecessary costs incurred by the Choice program, as were tests that had to be repeated at the VA because of a lack of documentation from the Choice provider. All medications given inappropriately were considered added costs. Medicare reimbursement rates for the most applicable Current Procedural Terminology (CPT) code and VA national contract pricing for medications were used for calculations. This study was approved by the VALLHCS institutional review board.

Statistical Analysis

IBM (Armonk, NY) Statistical Package for Social Sciences software was used to evaluate for differences in Fib-4, platelet count, prevalence of cirrhosis, prevalence of medical comorbidities, prevalence of mental health comorbidities, prevalence of the social issues defined in the Methods section, time from referral to time of appointment date, and SVR12 rate between the VA and Choice groups.

Exclusions

There were 15 veterans in the VA group who had a wait time of > 100 days. Of these, 5 (33%) were initially Choice referrals, but due to negative interactions with the Choice provider, the veterans returned to VALLHCS for care. Two of the 15 (13%) did not keep appointments and were lost to follow up. Six of the 15 (40%) had medical comorbidities that required more immediate attention, so HCV treatment initiation was deliberately moved back. The final 2 veterans scheduled their appointments unusually far apart, artificially increasing their wait time. Given that these were unique situations and some of the veterans received care from both Choice and VA providers, a decision was made to exclude these individuals from the study.

It has been shown that platelet count correlates with degree of liver fibrosis, a concept that is the basis for the Fib-4 scoring system.12 Studies have shown that platelet count is a survival predictor in those with cirrhosis, and thrombocytopenia is a negative predictor of HCV treatment success using peginterferon and ribavirin13,14 Therefore, the VA memorandum automatically assigned the sickest individuals to the VA for HCV treatment. The goal of this study was to compare the impact of factors other than stage of fibrosis on HCV treatment success, which is why the 12 veterans with platelet count < 100,000 in the VA group were excluded. There were no veterans with platelet count < 100,000 in the Choice group.

When comparing SVR12 rates between the VA and Choice groups, every veteran treated at VALLHCS in FY 2016 was included, increasing the number in the VA group from 100 to 320 and therefore the power of this comparison.

Results

A summary of the statistical analysis can be found in Table 1. The genotype distribution was consistent with epidemiological studies, including those specific to veterans.15,16 There were statistically significant differences (P < .001) in mean Fib-4 and mean platelet count. The VA group had a higher Fib-4 and lower platelet count. Seventy-four percent of the VA population was defined as cirrhotic, while only 3% of the Choice population met similar criteria (P < .001). The VA and Choice groups were similar in terms of age, gender, and genotype distribution (Table 2).

The VA group was found to have a higher prevalence of comorbidities that affected HCV treatment. These conditions included but were not limited to: chronic kidney disease that precluded the use of certain medications, any condition that required medication with a known interaction with DAAs (ie, proton pump inhibitors, statins, and amiodarone), and cirrhosis if it impacted the treatment regimen. The difference in the prevalence of mental health comorbidities was not significant (P = .39), but there was a higher prevalence of social issues among the VA group (P = .002).

 

 

The mean wait time from referral to appointment was 28.6 days for the VA group and 42.3 days for the Choice group (P < .001), indicating that a Choice referral took longer to complete than a referral within the VA for HCV treatment. Thirty of the 71 (42%) veterans seen by a Choice provider accrued extraneous cost, with a mean additional cost of $8,561.40 per veteran. In the Choice group, 61 veterans completed a treatment regimen with the Choice HCP. Fifty-five veterans completed treatment and had available SVR12 data (6 were lost to follow up without SVR12 testing) and 50 (91%) had confirmed SVR12. The charts of the 5 treatment failures were reviewed to discern the cause for failure. Two cases involved early termination of therapy, 3 involved relapse and 2 failed to comply with medication instructions. There was 1 case of the Choice HCP not addressing simultaneous use of ledipasvir and a proton pump inhibitor, potentially causing an interaction, and 1 case where both the VA and Choice providers failed to recognize indicators of cirrhosis, which impacted the regimen used.

In the VALLHCS group, records of 320 veterans who completed treatment and had SVR12 testing were reviewed. While the Choice memorandum was active, veterans selected to be treated at VALLHCS had advanced liver fibrosis or cirrhosis, medical and mental health comorbidities that increased the risk of treatment complications or were considered to have difficulty adhering to the medication regimen. For this group, 296 (93%) had confirmed SVR12. Eighteen of the 24 (75%) treatment failures were complicated by nonadherence, including all 13 cases of early termination. One patient died from complications of decompensated cirrhosis before completing treatment, and 1 did not receive HCV medications during a hospital admission due to poor coordination of care between the VA inpatient and outpatient pharmacy services, leading to multiple missed doses.

The difference in SVR12 rates (ie, treatment failure rates), between the VA and Choice groups was not statistically significant (P = .61). None of the specific reasons for treatment failure had a statistically significant difference between groups. A treatment failure analysis is shown in Table 3, and Table 4 indicates the breakdown of treatment regimens.

Discussion

The Veterans Health Administration (VHA) is the largest integrated health care system in the US, consisting of 152 medical centers and > 1,700 sites of care. The VA has the potential to meet the health care needs of 21.6 million veterans. About 9 million veterans are enrolled in the VA system and 5.9 million received health care through VHA.17 However, every medical service cannot realistically be made available at every facility, and some veterans have difficulty gaining access to VHA care; distance and wait times have been well-publicized issues that need further exploration.18,19 The Choice program is an attempt to meet gaps in VA coverage using non-VA HCPs.

HCV infection is a specific diagnosis with national treatment guidelines and wellstudied treatments; it can be cured, with an evidence- based definition of cure. The VACO policy memorandum to refer less sick veterans to Choice while treating sicker veterans at the VA provided the opportunity to directly compare the quality of the 2 programs. The SVR12 rates of VALLHCS and Choice providers were comparable to the national average at the time, and while the difference in SVR12 rate was not significant, VALLHCS treated a significantly higher number of patients with cirrhosis because of the referral criteria.20

The significant difference in medical comorbidities between the VA and Choice groups was not surprising, partly because of the referral criteria. Cirrhosis can impact the treatment regimen, especially in regard to use of ribavirin. Since the presence of mental health comorbidities did not affect selection into the Choice group, it makes sense that there was no significant difference in prevalence between the groups.

VACO allowed veterans with HCV treatment plans that VA HCPs felt were too complicated for the Choice program to be treated by VHA HCPs.9 VALLHCS exercised this right for veterans at risk for nonadherence, because in HCV treatment, nonadherence leads to treatment failure and development of drug resistant virus strains. Therefore, veterans who would have difficulty traveling to VALLHCS to pick up medications, those who lacked means of communication (such as those who were homeless), and those who had active substance abuse were treated at the VA, where closer monitoring and immediate access to a wide range of services was possible. Studies have confirmed the impact of these types of issues on HCV treatment adherence and success. 21 This explains the higher prevalence of social issues in the VA group.

 

 

For an internal referral for HCV treatment at VALLHCS, the hepatology provider submits a consult request to the HCV treatment provider, who works in the same office, making direct communication simple. The main administrative limiting factor to minimizing wait times is the number of HCPs, which is dependent on hiring allowances.

When a veteran is referred to Choice, the VA provider places a consult for non-VA care, which the VA Office of Community Care processes by compiling relevant documents and sending the package to Triwest Healthcare Alliance, a private insurance processor contracted with the VA. Triwest selects the Choice provider, often without any input from the VA, and arranges the veteran’s initial appointment.22 Geographic distance to the veteran’s address is the main selection criteria for Triwest. Documents sent between the Choice and VA HCPs go through the Office of Community Care and Triwest. This significantly increases the potential for delays and failed communication. Triwest had a comprehensive list of providers deemed to be qualified to treat HCV within the geographic catchment of VALLHCS. This list was reviewed, and all veterans referred to Choice had HCPs near their home address; therefore, availability of Choice HCPs was not an issue.

The VA can provide guidance on management of the veteran in the form of bundle packages containing a list of services for which the Choice provider is authorized to provide, and ones the Choice provider is not authorized to provide. Some Choice HCPs ordered tests that were not authorized for HCV treatment such as esophagogastroduodenoscopy, colonoscopy, and liver biopsy. In all, 17 of 71 (24%) veterans seen by Choice HCPs had tests performed or ordered that VA HCPs would not have obtained for the purpose of HCV treatment (Table 5).

In order to prevent veterans from receiving unnecessary tests, a VALLHCS hepatologist asked to be notified by VA administrators overseeing Choice referrals whenever a secondary authorization request (SAR) was submitted by a Choice HCP. This strategy is not standard VA practice, therefore at many VA sites these requested tests would have been performed by the Choice HCP, which is why SARs were factored into cost analysis.

SVR12 test results that were drawn too early and had to be repeated at VALLHCS were a cost unique to the Choice program. Duplicate tests, particularly imaging studies and blood work, were extraneous costs. The largest extraneous costs were treatment regimens prescribed by Choice HCPs that did not follow standard of care and required VA provider intervention. Thirty of the 71 (42%) veterans seen by a Choice provider accrued a mean $8,561.40 in extra costs. As a result, the Choice program cost VHA $250,000 more to provide care for 30 veterans (enough to pay for a physician’s annual salary).

Some inappropriate treatment regimens were the result of Choice HCP error, such as 1 case in which a veteran was inadvertently switched from ledipasvir/sofosbuvir to ombitasvir/ paritaprevir/ritonavir/dasabuvir after week 4. The veteran had to start therapy over but still achieved SVR12. Other cases saw veterans receive regimens for which they had clear contraindications, such as creatinine clearance < 30 mL/min/1.73m2 for sofosbuvir or a positive resistance panel for specific medications. Eleven of 62 (18%) veterans who were started on HCV treatment by a Choice HCP received a regimen not consistent with VA guidelines—an alarming result.

Follow up for veterans referred to Choice was extremely labor intensive, and assessment of personnel requirements in a Choice-based VA system must take this into consideration. The Choice HCP has no obligation to communicate with the VA HCP. At the time of chart review, 57 of 71 (80%) Choice veterans had inadequate documentation to make a confident assessment of the treatment outcome. Multiple calls to the offices of the Choice HCP were needed to acquire records, and veterans had to be tracked down for additional tests. Veterans often would complete treatment and stop following up with the Choice provider before SVR12 confirmation. The VA hepatology provider reviewing Choice referrals served as clinician, case manager, and clerk in order to get veterans to an appropriate end point in their hepatitis C treatment, with mostly unmeasured hours of work.

 

 

Limitations

The study population size was limited by the number of veterans able to complete treatment through Choice. The parameters in the VACO policy memos automatically selected the VA and Choice groups but made them clinically distinct populations. New treatment medications were released during the study period, which impacted management strategy. Occasionally, VA and non- VA HCPs preferred different treatment regimens, leading to variation in the distribution of regimens used despite similar genotype distribution (Tables 2 and 4). In addition, a retrospective study is at risk for recall bias. A prospective study randomizing veterans to the Choice and VA groups is an important future endeavor. Comparing veteran satisfaction for Choice and VA services is also crucial.

Conclusions

This study demonstrates that the VA was able to provide more cost-effective and more timely care for HCV treatment to a relatively sicker population with no reduction in treatment success when compared with non-VA HCPs through the Choice program. While the Choice program can help veterans receive services they may otherwise not have access to and reduce travel time, the current system introduces inefficiencies that delay care and decrease cost-effectiveness. The Choice HCP selection process is based on proximity rather than quality, which may place the veteran at risk for receiving substandard care. Large-scale quality of care studies that compare efficiency measures, clinical outcomes, patient demographics, travel distance, cost efficacy and patient satisfaction for veterans receiving similar services at a VA facility and through Choice should be performed to ensure that veterans receive the best care available.

References

1. Denniston MM, Jiles RB, Drobeniuc J, et al. Chronic hepatitis C virus infection in the United States, National Health and Nutrition Examination Survey 2003 to 2010. Ann Intern Med. 2014;160(5):293-300. doi:10.7326/M13-1133

2. Dominitz JA, Boyko EJ, Koepsell TD, et al. Elevated prevalence of hepatitis C infection in users of United States veterans medical centers. Hepatology. 2005;41(1):88-96. doi:10.1002/hep.20502

3. Veterans Access, Choice, and Accountability Act of 2014. 42 USC §1395 (2014).

4. Tuchschmidt J. Attachment C: Provision of hepatitis C treatment. US Department of Veterans Affairs Central Office Memorandum from the Principal Deputy Under Secretary for Health. http://vaww.hepatitis.va.gov/education /choice-provision-hcv-treatment.asp. Published May 21, 2015. [Nonpublic site.]

5. Tuchschmidt J. Attachment A: Provision of hepatitis C (HCV) treatment through the Choice program. US Department of Veterans Affairs Central Office Memorandum from the Principal Deputy Under Secretary for Health. http:// vaww.hepatitis.va.gov/pdf/choice-attachment-a-FY16 .pdf. Published May 21, 2015. [Nonpublic site.]

6. Tuchschmidt J. Attachment B: Initiation of hepatitis C virus (HCV) treatment: protocol for prioritization. US Department of Veterans Affairs Central Office Memorandum from the Principal Deputy Under Secretary for Health. http://vaww .hepatitis.va.gov/pdf/provision-HCV-treatment-attach ment-b.pdf. Published May 21, 2015. [Nonpublic site.]

7. Murphy, JP. Hepatitis C virus funding and prioritization status. US Department of Veterans Affairs Central Office Memorandum from the Assistant Deputy Under Secretary for Health for Clinical Operations. http://vaww.hepatitis .va.gov/education/choice-memo-hcv-funding-and -prioritization-status-01272016.asp. Published January 27, 2016. [Nonpublic site.]

8. Lynch TJ, McCarthy MF. Hepatitis C virus funding and prioritization status update. US Department of Veterans Affairs Central Office Memorandum from the Assistant Deputy Under Secretary for Health for Clinical Operations and Acting Assistant Deputy Under Secretary for Health for Patient Care Services. http://vaww.hepatitis.va.gov /education/choice-funding-update-feb-2016.asp. Published February 24, 2016. [Nonpublic site.]

9. Morgan TR, Yee H; US Department of Veterans Affairs National Hepatitis C Resource Center Program and the National Viral Hepatitis Program in the Office of Patient Care Services. Chronic hepatitis C virus (HCV) infection: treatment considerations. http://vaww.hepatitis.va.gov /pdf/treatment-considerations-2016-03-28.pdf. Published March 28, 2016. [Nonpublic site.]

10. American Association for the Study of Liver Diseases; Infectious Diseases Society of America. Initial Treatment Box. http://hcvguidelines.org/full-report/initial-treatment -box-summary-recommendations-patients-who-are -initiating-therapy-hcv. Updated November 6, 2019. Accessed May 11, 2020.

11. AASLD/IDSA HCV Guidance Panel. Hepatitis C guidance: AASLD-IDSA recommendations for testing, managing, and treating adults infected with hepatitis C virus. Hepatology. 2015;62(3): 932-954. doi:10.1002/hep.27950

12. Sterling RK, Lissen E, Clumeck N, et al. Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection. Hepatology. 2006; 43(6):1317-1325. doi:10.1002/hep.21178

13. Realdi G, Fattovich G, Hadziyannis S, et al. Survival and prognostic factors in 366 patients with compensated cirrhosis type B: a multicenter study. The Investigators of the European Concerted Action on Viral Hepatitis (EUROHEP). J Hepatol. 1994;21(4):656-666. doi:10.1016/s0168 -8278(94)80115-0

14. Kanda T, Kato K, Tsubota A, et al. Platelet count and sustained virological response in hepatitis C treatment. World J Hepatol. 2013;5(4):182-188. doi:10.4254/wjh.v5.i4.182

15. Manos MM, Shvachko VA, Murphy RC, Arduino JM, Shire NJ. Distribution of hepatitis C virus genotypes in a diverse US integrated health care population. J Med Virol. 2012;84(11):1744-1750. doi:10.1002/jmv.23399

16. Cheung RC. Epidemiology of hepatitis C virus infection in American veterans. Am J Gastroenterol. 2000;95(3): 740-747. doi:10.1111/j.1572-0241.2000.01854.x

17. Bagalman E. The number of Veterans that use VA health care services: a fact sheet. Congressional Research Service Report R43579. https://fas.org/sgp/crs/misc/R43579.pdf. Published June 3, 2014. Accessed May 11, 2020.

18. US General Accounting Office. Report to the Ranking Minority Member, Subcommittee on Compensation, Pension, Insurance, and Memorial Affairs, Committee on Veterans’ Affairs, US House of Representatives. How distance from VA facilities affects veterans’ use of VA services. https:// www.gao.gov/assets/230/221992.pdf. Published December 1995. Accessed May 11, 2020.

19. Bronstein S, Griffin D. A fatal wait: Veterans languish and die on a VA hospital’s secret list. http://www.cnn .com/2014/04/23/health/veterans-dying-health-care -delays/index.html. Published April 23, 2014. Accessed May 11, 2020.

20. Ioannou GN, Beste LA, Chang MF, et al. Effectiveness of sofosbuvir, ledipasvir/sofosbuvir, or paritaprevir/ritonavir/ ombitasvir and dasabuvir regimens for treatment of patients with hepatitis C in the Veterans Affairs national health care system. Gastroenterology. 2016;151(3):457- 471. doi:10.1053/j.gastro.2016.05.049

21. Malespin MH, Harris C, Kanar O, et al. Barriers to treatment of chronic hepatitis C with direct acting antivirals in an urban clinic. Ann Hepatol. 2019;18(2):304-309. doi:10.1016/j.aohep.2018.06.001

22. Tuchschmidt J. Attachment D: Hepatitis C virus (HCV) fact sheet for Veterans Choice Program for both VA and Choice providers. US Department of Veterans Affairs Central Office Memorandum from the Deputy Under Secretary for Health for Policy and Services and the Acting Deputy Undersecretary for Health for Operations and Management. http://vaww .hepatitis.va.gov/educatiochoice-provision-HCV-treatment -additional.asp. [Nonpublic site.]

References

1. Denniston MM, Jiles RB, Drobeniuc J, et al. Chronic hepatitis C virus infection in the United States, National Health and Nutrition Examination Survey 2003 to 2010. Ann Intern Med. 2014;160(5):293-300. doi:10.7326/M13-1133

2. Dominitz JA, Boyko EJ, Koepsell TD, et al. Elevated prevalence of hepatitis C infection in users of United States veterans medical centers. Hepatology. 2005;41(1):88-96. doi:10.1002/hep.20502

3. Veterans Access, Choice, and Accountability Act of 2014. 42 USC §1395 (2014).

4. Tuchschmidt J. Attachment C: Provision of hepatitis C treatment. US Department of Veterans Affairs Central Office Memorandum from the Principal Deputy Under Secretary for Health. http://vaww.hepatitis.va.gov/education /choice-provision-hcv-treatment.asp. Published May 21, 2015. [Nonpublic site.]

5. Tuchschmidt J. Attachment A: Provision of hepatitis C (HCV) treatment through the Choice program. US Department of Veterans Affairs Central Office Memorandum from the Principal Deputy Under Secretary for Health. http:// vaww.hepatitis.va.gov/pdf/choice-attachment-a-FY16 .pdf. Published May 21, 2015. [Nonpublic site.]

6. Tuchschmidt J. Attachment B: Initiation of hepatitis C virus (HCV) treatment: protocol for prioritization. US Department of Veterans Affairs Central Office Memorandum from the Principal Deputy Under Secretary for Health. http://vaww .hepatitis.va.gov/pdf/provision-HCV-treatment-attach ment-b.pdf. Published May 21, 2015. [Nonpublic site.]

7. Murphy, JP. Hepatitis C virus funding and prioritization status. US Department of Veterans Affairs Central Office Memorandum from the Assistant Deputy Under Secretary for Health for Clinical Operations. http://vaww.hepatitis .va.gov/education/choice-memo-hcv-funding-and -prioritization-status-01272016.asp. Published January 27, 2016. [Nonpublic site.]

8. Lynch TJ, McCarthy MF. Hepatitis C virus funding and prioritization status update. US Department of Veterans Affairs Central Office Memorandum from the Assistant Deputy Under Secretary for Health for Clinical Operations and Acting Assistant Deputy Under Secretary for Health for Patient Care Services. http://vaww.hepatitis.va.gov /education/choice-funding-update-feb-2016.asp. Published February 24, 2016. [Nonpublic site.]

9. Morgan TR, Yee H; US Department of Veterans Affairs National Hepatitis C Resource Center Program and the National Viral Hepatitis Program in the Office of Patient Care Services. Chronic hepatitis C virus (HCV) infection: treatment considerations. http://vaww.hepatitis.va.gov /pdf/treatment-considerations-2016-03-28.pdf. Published March 28, 2016. [Nonpublic site.]

10. American Association for the Study of Liver Diseases; Infectious Diseases Society of America. Initial Treatment Box. http://hcvguidelines.org/full-report/initial-treatment -box-summary-recommendations-patients-who-are -initiating-therapy-hcv. Updated November 6, 2019. Accessed May 11, 2020.

11. AASLD/IDSA HCV Guidance Panel. Hepatitis C guidance: AASLD-IDSA recommendations for testing, managing, and treating adults infected with hepatitis C virus. Hepatology. 2015;62(3): 932-954. doi:10.1002/hep.27950

12. Sterling RK, Lissen E, Clumeck N, et al. Development of a simple noninvasive index to predict significant fibrosis in patients with HIV/HCV coinfection. Hepatology. 2006; 43(6):1317-1325. doi:10.1002/hep.21178

13. Realdi G, Fattovich G, Hadziyannis S, et al. Survival and prognostic factors in 366 patients with compensated cirrhosis type B: a multicenter study. The Investigators of the European Concerted Action on Viral Hepatitis (EUROHEP). J Hepatol. 1994;21(4):656-666. doi:10.1016/s0168 -8278(94)80115-0

14. Kanda T, Kato K, Tsubota A, et al. Platelet count and sustained virological response in hepatitis C treatment. World J Hepatol. 2013;5(4):182-188. doi:10.4254/wjh.v5.i4.182

15. Manos MM, Shvachko VA, Murphy RC, Arduino JM, Shire NJ. Distribution of hepatitis C virus genotypes in a diverse US integrated health care population. J Med Virol. 2012;84(11):1744-1750. doi:10.1002/jmv.23399

16. Cheung RC. Epidemiology of hepatitis C virus infection in American veterans. Am J Gastroenterol. 2000;95(3): 740-747. doi:10.1111/j.1572-0241.2000.01854.x

17. Bagalman E. The number of Veterans that use VA health care services: a fact sheet. Congressional Research Service Report R43579. https://fas.org/sgp/crs/misc/R43579.pdf. Published June 3, 2014. Accessed May 11, 2020.

18. US General Accounting Office. Report to the Ranking Minority Member, Subcommittee on Compensation, Pension, Insurance, and Memorial Affairs, Committee on Veterans’ Affairs, US House of Representatives. How distance from VA facilities affects veterans’ use of VA services. https:// www.gao.gov/assets/230/221992.pdf. Published December 1995. Accessed May 11, 2020.

19. Bronstein S, Griffin D. A fatal wait: Veterans languish and die on a VA hospital’s secret list. http://www.cnn .com/2014/04/23/health/veterans-dying-health-care -delays/index.html. Published April 23, 2014. Accessed May 11, 2020.

20. Ioannou GN, Beste LA, Chang MF, et al. Effectiveness of sofosbuvir, ledipasvir/sofosbuvir, or paritaprevir/ritonavir/ ombitasvir and dasabuvir regimens for treatment of patients with hepatitis C in the Veterans Affairs national health care system. Gastroenterology. 2016;151(3):457- 471. doi:10.1053/j.gastro.2016.05.049

21. Malespin MH, Harris C, Kanar O, et al. Barriers to treatment of chronic hepatitis C with direct acting antivirals in an urban clinic. Ann Hepatol. 2019;18(2):304-309. doi:10.1016/j.aohep.2018.06.001

22. Tuchschmidt J. Attachment D: Hepatitis C virus (HCV) fact sheet for Veterans Choice Program for both VA and Choice providers. US Department of Veterans Affairs Central Office Memorandum from the Deputy Under Secretary for Health for Policy and Services and the Acting Deputy Undersecretary for Health for Operations and Management. http://vaww .hepatitis.va.gov/educatiochoice-provision-HCV-treatment -additional.asp. [Nonpublic site.]

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Pulmonary Neuroendocrine Tumor Presenting as a Left Pleural Effusion

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The presence of a symptomatic and recurrent unilateral pleural effusion should alert physicians to consider thoracentesis with mindful use of biomarkers not only for therapeutic purposes, but also for diagnosis of both benign and malignant etiologies.

Neuroendocrine tumors (NETs) account for about 0.5% of all newly diagnosed malignancies.1 Pulmonary NETs are rare, accounting for 1 to 2% of all invasive lung malignancies and involve about 20 to 25% of primary lung malignancies. 2,3 Their prevalence has increased by an estimated 6% per year over the past 30 years.2 Nonetheless, the time of diagnosis is frequently delayed because of nonspecific symptoms that may imitate other pulmonary conditions.

In the normal pleural space, there is a steady state in which there is a roughly equal rate of fluid formation and absorption. Any disequilibrium may produce a pleural effusion. Pleural fluids can be transudates or exudates. Transudates result from imbalances in hydrostatic and oncotic pressures in the pleural space. Exudates result primarily from pleural and/or lung inflammation or from impaired lymphatic drainage of the pleural space. Clinical manifestations include cough, wheezing, recurrent pneumonia, hemoptysis and pleural effusions. We present a case of a man who developed a large left pleural effusion with a pathology report suggesting a pulmonary NET as the etiology. Being aware of this rare entity may help improve prognosis by making an earlier diagnosis and starting treatment sooner.

 

Case Presentation

A 90-year-old man with a medical history of arterial hypertension, hyperlipidemia, type 2 diabetes mellitus, coronary artery disease, and vascular dementia presented to the emergency department with hypoactivity, poor appetite, productive cough, and shortness of breath. The patient was a former smoker (unknown pack-years) who quit smoking cigarettes 7 years prior. Vital signs showed sinus tachycardia and peripheral oxygen saturation of 90% at room air. The initial physical examination was remarkable for decreased breath sounds and crackles at the left lung base. Laboratory findings showed leukocytosis with neutrophilia and chronic normocytic anemia. Chest computed tomography (CT) showed a large left-sided pleural effusion occupying most of the left hemithorax with adjacent atelectatic lung, enlarged pretracheal, subcarinal, and left perihilar lymph nodes (Figure 1).

The patient was admitted to the internal medicine ward with the diagnosis of left pneumonic process and started on IV levofloxacin. However, despite 7 days of antibiotic therapy, the patient’s respiratory symptoms worsened. This clinical deterioration prompted pulmonary service consultation. Chest radiography demonstrated an enlarging left pleural effusion (Figure 2). A thoracentesis drained 1.2 L of serosanguineous pleural fluid. Pleural fluid analysis showed a cell count of 947/cm3 with 79% of lymphocytes, total protein 3.8 g/dL, lactic dehydrogenase (LDH) level 607 U/L, and glucose level 109 mg/dL. Serum total protein was 6.62 g/dL, LDH 666 U/L and glucose 92 mg/dL (Tables 1 and 2). Alanine transaminase (ALT) and aspartate aminotransferase (AST) were 11 U/L and 21 U/L, respectively. Using Light criteria, the pleural:serum protein ratio was 0.57, the pleural:serum LDH ratio was 0.91, and the pleural LDH was more than two-thirds of the serum LDH. These calculations were consistent with an exudative effusion. An infectious disease workup, including blood and pleural fluid cultures, was negative.

The pleural fluid concentrated cell block hematoxylin and eosin (H&E) staining showed chromatin, prominent nucleoli, and nuclear molding, which was compatible with high-grade lung NET (Figure 3). The cell block immunohistochemistry (IHC) was positive for synaptophysin, chromogranin A, and neuron specific enolase (NSE) also consistent with a high-grade pulmonary NET (Figure 4). The proliferation marker protein Ki-67 labeling index (LI) showed a proliferation index > 20% (Figure 5). The patient did not have decision-making capacity given vascular dementia. Multiple attempts to contact the next of kin or family members were unsuccessful. Risks vs benefits were evaluated, and given the patient’s advanced age and multiple comorbidities, a conservative management approach under palliative care was chosen. For this reason, further genomic studies were not done.

 

 

Discussion

NETs are a group of neoplasms that differ in site, amount of cell propagation, and clinical manifestations.4 These tumors are rare with an estimated incidence of 25 to 50 per 100,000.4 The most commonly affected organ systems are the gastroenteropancreatic and the bronchopulmonary tracts, accounting for 60% and 25% of the tumors, respectively.4 The incidence is increasing over the past years in part because of novel diagnostic techniques.

The average age of diagnosis is between the fourth and sixth decades, affecting more women than men.5 Smoking has been identified as a possible culprit for the development of these neoplasms; nonetheless, the association is still not clear.4 For example, poorly differentiated pulmonary NETs have a strong association with smoking but not well-differentiated pulmonary NETs.2

Patients typically present with cough, wheezing, hemoptysis, and recurrent pneumonias, which are in part a consequence of obstruction caused by the mass.2 Sometimes, obstruction may yield persistent pleural effusions. Hemoptysis may be seen secondary to the vascularity of pulmonary NETs.

The diagnosis is often delayed because patients are frequently treated for infection before being diagnosed with the malignancy, such as in our case. Radiologic image findings include round opacities, central masses, and atelectasis. Pulmonary NETs are frequently found incidentally as solitary lung nodules. The CT scan is the most common diagnostic modality and can provide information about the borders of the tumor, the location and surrounding structures, including the presence of atelectasis.5 Pulmonary NETs are usually centrally located in an accessible region for lung biopsy. In cases where the mass is not easily reachable, thoracentesis may provide the only available specimen.

The 2015 World Health Organization classification has identified 4 histologic types of pulmonary NETs, namely, typical carcinoid (TC), atypical carcinoid (AC), large cell neuroendocrine carcinoma (LCNEC) and small cell lung carcinoma (SCLC).6 The low-grade pulmonary NET, the typical carcinoid, is slow growing and has lower rates of metastasis. The intermediate-grade NET, the atypical carcinoid, is more aggressive. The highgrade NETs, the LCNEC and the SCLC, are aggressive and spread quickly to other places.6 Consequently, LCNEC and SCLC have higher mortalities with a 5-year survival, ranging from 13 to 57% and 5%, respectively.7

Tumors may be histomorphologically classified by H&E staining. The main characteristics that differentiate the low- and high-grade NETs are the presence of necrosis and the mitotic rate. Both categories form neuropeptides and have dense granular cores when seen with an electron microscopy.6 The TC and AC have welldefined, organized histologic patterns, no necrosis, and scarce mitosis. On the other hand, the LCNEC and SCLC are poorly differentiated tumors with necrosis, atypia, and mitosis.6 LCNEC can be separated from SCLC and other tumors by IHC staining, whereas SCLC is primarily distinguished by morphology.

If the biopsy sample size is small, then IHC morphology and markers are helpful for subclassification.8 IHC is used to discern between neuroendocrine (NE) vs non-NE. The evaluation of pleural fluid includes preparation of cell blocks. Cell block staining is deemed better for IHC because it mimics a small biopsy that enables superior stains.9 The need for a pleural biopsy in cases where the cytology is negative depends on treatment aims, the kind of tumor, and the presence of metastasis.10 In almost 80% of cases, pleural biopsy and cytology are the only specimens obtained for analysis.Therefore, identification of these markers is practical for diagnosis.10 For this reason, pleural effusion samples are appropriate options to lung biopsy for molecular studies.10

 

 

Ki-67 LI in samples has the highest specificity and sensitivity for low-tointermediate- grade vs high-grade tumors. It is being used for guiding clinical and treatment decisions.6 In SCLC, the Ki-67 LI is not necessary for diagnosis but will be about 80%.11 The tumor cells will show epithelial characteristics with positive cytokeratin AE1/AE3 and monoclonal antibody CAM5.2 and neuroendocrine markers, including NCAM/CD56, chromogranin A, and synaptophysin.11

Thyroid transcription factor-1 (TTF- 1) is positive in most cases. In LCNEC, the Ki-67 LI is between 40% and 80%. NCAM/ CD56, chromogranin A, and synaptophysin are present in 92 to 100%, 80 to 85%, and 50 to 60%, respectively.11 TTF-1 is identified in half of the tumors. All these tumors express pancytokeratin (AE1/AE3), cytokeratin 7 or low-molecular-weight cytokeratin. Likewise, the carcinoids will show markers, such as chromogranin A, synaptophysin, CD56, and epithelial markers like pancytokeratin.11 However, the high-molecular-weight cytokeratin and TTF-1 are negative. Furthermore, NSE is considered a good tumor marker in the diagnosis and prognosis of SCLC. NSE also has been reported in NSCLC. The level of NSE correlates with tumor burden, number of metastatic sites, and response to treatment. 12 A potentially useful marker is the insulinoma-associated protein 1, which is a nuclear determinant of NE differentiation that stains all types of pulmonary NETs irrespective of the histology but does not stain adenocarcinoma or squamous cell carcinoma (SCC).6

Recently, genomic studies have identified gene alterations that have become standard of care for diagnosis and targeted therapies.8 For example, epidermal growth factor receptor (EGFR) and echinoderm microtubule- associated proteinlike 4, and anaplastic lymphoma kinase (EML4-ALK) mutations have been found in about 25% of lung adenocarcinomas. 8 Other abnormalities in LKB1/STK11, NF1, CDKN2A, SMARCA4 and KEAP1, KRAS, MET, ROS1, and RET have also been identified.8 On the other hand, SCC rarely have derangements in EGFR and EML4-ALK, but do show changes in RTKs, DDR2M, FGGRs, among others.8 In TC and AC, observed molecular alterations include MEN1 mutations, mTOR, and SSTRs pathway activation, and GC/ CEACAM1 and CD44/OTP expression.13 LCNEC and SCLC have shown TP53 and RB1 mutations and CDX2/VIL1/BAI3 expression. DLL3 expression and MET mutations may be present in SCLC.13 Last, chromatin remodeling gene mutations have been identified in all these lung NET types.13

Furthermore, neuropeptides and neuroamines may be measured in the blood and urine.14 Pulmonary NETs may be functional and secrete these substances, leading to systemic symptoms based on the released molecules.15 However, pulmonary NETs produce less serotonin than gastrointestinal NETs; therefore, carcinoid syndrome is less frequent in pulmonary NETs.16 Liver metastasis is often present when it occurs.5 Other possible clinical features include Cushing syndrome and acromegaly depending on the secreted hormones.5

In a recent metanalysis, serum LDH has been found to have a prognostic role in Ewing sarcoma, urologic cancers, malignant mesothelioma, among others.17 It demonstrated that a higher LDH concentration is associated with worse survival in patients with lung cancer.17 Serum LDH is an enzyme that catalyzes the reaction between lactic acid and pyruvic acid that typically takes place in anaerobic conditions.17 LDH levels are elevated in malignancies because tumors have an anaerobic environment. Elevated LDH levels correlate with the anaerobic metabolism in the tumor. Other studies also have noted that patients with high metastatic score have higher LDH levels.17 Therefore, LDH may reflect tumor extension.

In addition, other techniques, such as somatostatin- receptor imaging are specifically beneficial in tumors that express the somatostatin receptor.16 For this reason, this type of study is typically indicated in patients with known metastasis, not in patients with low-grade tumors. Abdominal CT scans are done because the liver is a common site for metastasis.

Our case report demonstrates how biomarkers help diagnose these potentially aggressive and life-threatening tumors that may present as a common condition such as a pleural effusion. Using a less invasive and quicker approach with thoracentesis rather than with lung biopsies is a diagnostic tool in this entity. IHC in cell blocks is a reasonable diagnostic method especially in patients in whom performing a lung biopsy is difficult.

Conclusions

The presence of a symptomatic and recurrent unilateral pleural effusion must urge physicians to consider thoracentesis with mindful use of biomarkers not only for therapeutic purposes, but also for diagnosis of a variety of etiologies, both benign and malignant.

References

1. Oronsky B, Ma PC, Morgensztern D, Carter CA. Nothing but NET: a review of neuroendocrine tumors and carcinomas. Neoplasia. 2017;19(12):991-1002. doi: 10.1016/j.neo.2017.09.002

2. Hendifar AE, Marchevsky AM, Tuli R. Neuroendocrine tumors of the lung: current challenges and advances in the diagnosis and management of well-differentiated disease. J Thorac Oncol. 2017;12(3):425-436. doi: 10.1016/j.jtho.2016.11.2222

3. Fisseler-Eckhoff A, Demes M. Neuroendocrine tumors of the lung. Cancers (Basel). 2012;4(3):777-798. doi: 10.3390/cancers4030777

4. Mandegaran R, David S, Screaton N. Cardiothoracic manifestations of neuroendocrine tumours. Br J Radiol. 2016;89(1060). doi: 10.1259/bjr.20150787

5. Caplin ME, Baudin E, Ferolla P, et al; ENETS consensus conference participants. Pulmonary neuroendocrine (carcinoid) tumors: European Neuroendocrine Tumor Society expert consensus and recommendations for best practice for typical and atypical pulmonary carcinoids. Ann Oncol. 2015;26(8):1604-1620. doi: 10.1093/annonc/mdv041

6. Pelosi G, Sonzogni A, Harari S, et al. Classification of pulmonary neuroendocrine tumors: new insights. Transl Lung Cancer Res. 2017;6(5):513-529. doi: 10.21037/tlcr.2017.09.04

7. Rossi G, Bertero L, Marchiò C, Papotti M. Molecular alterations of neuroendocrine tumours of the lung. Histopathology. 2018;72(1):142-152. doi: 10.1111/his.13394.

8. Osmani L, Askin F, Gabrielson E, Li QK. Current WHO guidelines and the critical role of immunohistochemical markers in the subclassification of non-small cell lung carcinoma (NSCLC): moving from targeted therapy to immunotherapy. Semin Cancer Biol. 2018;52(pt 1):103-109. doi: 10.1016/j.semcancer.2017.11.019

9. Kaur G, Nijhawan R, Gupta N, Singh N, Rajwanshi A. Pleural fluid cytology samples in cases of suspected lung cancer: an experience from a tertiary care centre. Diagn Cytopathol. 2017;45(3):195-201.

10. Porcel JM. Biomarkers in the diagnosis of pleural diseases: a 2018 update. Ther Adv Respir Dis. 2018;12. doi: 10.1177/1753466618808660

11. Kim JY, Hong SM, Ro JY. Recent updates on grading and classification of neuroendocrine tumors. Ann Diagn Pathol. 2017;29:11-16. doi: 10.1016/j.anndiagpath.2017.04.005

12. Isgrò MA, Bottoni P, Scatena R. Neuron-specific enolase as a biomarker: biochemical and clinical aspects. Adv Exp Med Biol. 2015;867:125-143. doi: 10.1007/978-94-017-7215-0_9

13. Rossi G, Bertero L, Marchiò C, Papotti M. Molecular alterations of neuroendocrine tumours of the lung. Histopathology. 2018;72(1):142-152. doi: 10.1111/his.13394

14. Eriksson B, Oberg K, Stridsberg M. Tumor markers in neuroendocrine tumors. Digestion. 2000;62(suppl 1):33-38.

15. Melosky B. Low grade neuroendocrine tumors of the lung. Front Oncol. 2017;7:119. doi: 10.3389/fonc.2017.00119

16. Gustafsson BI, Kidd M, Chan A, Malfertheiner MV, Modlin IM. Bronchopulmonary neuroendocrine tumors. Cancer. 2001;113(1):5-21. https://doi.org/10.1002/cncr.23542

17. Deng T, Zhang J, Meng Y, Zhou Y, Li W. Higher pretreatment lactate dehydrogenase concentration predicts worse overall survival in patients with lung cancer. Medicine (Baltimore). 2018;97(38):e12524

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Miguel Ortiz is a Pulmonary and Critical Care Physician, Gabriela Montes is a Physician, Onix Cantres is a Pulmonologist, and William Rodríguez is Chief, Pulmonary and Critical Care Medicine and Training Program Director, all at VA Caribbean Health Care System in San Juan, Puerto Rico.
Correspondence: William Rodríguez ([email protected])

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The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations— including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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Miguel Ortiz is a Pulmonary and Critical Care Physician, Gabriela Montes is a Physician, Onix Cantres is a Pulmonologist, and William Rodríguez is Chief, Pulmonary and Critical Care Medicine and Training Program Director, all at VA Caribbean Health Care System in San Juan, Puerto Rico.
Correspondence: William Rodríguez ([email protected])

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations— including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

Author and Disclosure Information

Miguel Ortiz is a Pulmonary and Critical Care Physician, Gabriela Montes is a Physician, Onix Cantres is a Pulmonologist, and William Rodríguez is Chief, Pulmonary and Critical Care Medicine and Training Program Director, all at VA Caribbean Health Care System in San Juan, Puerto Rico.
Correspondence: William Rodríguez ([email protected])

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations— including indications, contraindications, warnings, and adverse effects—before administering pharmacologic therapy to patients.

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The presence of a symptomatic and recurrent unilateral pleural effusion should alert physicians to consider thoracentesis with mindful use of biomarkers not only for therapeutic purposes, but also for diagnosis of both benign and malignant etiologies.
The presence of a symptomatic and recurrent unilateral pleural effusion should alert physicians to consider thoracentesis with mindful use of biomarkers not only for therapeutic purposes, but also for diagnosis of both benign and malignant etiologies.

Neuroendocrine tumors (NETs) account for about 0.5% of all newly diagnosed malignancies.1 Pulmonary NETs are rare, accounting for 1 to 2% of all invasive lung malignancies and involve about 20 to 25% of primary lung malignancies. 2,3 Their prevalence has increased by an estimated 6% per year over the past 30 years.2 Nonetheless, the time of diagnosis is frequently delayed because of nonspecific symptoms that may imitate other pulmonary conditions.

In the normal pleural space, there is a steady state in which there is a roughly equal rate of fluid formation and absorption. Any disequilibrium may produce a pleural effusion. Pleural fluids can be transudates or exudates. Transudates result from imbalances in hydrostatic and oncotic pressures in the pleural space. Exudates result primarily from pleural and/or lung inflammation or from impaired lymphatic drainage of the pleural space. Clinical manifestations include cough, wheezing, recurrent pneumonia, hemoptysis and pleural effusions. We present a case of a man who developed a large left pleural effusion with a pathology report suggesting a pulmonary NET as the etiology. Being aware of this rare entity may help improve prognosis by making an earlier diagnosis and starting treatment sooner.

 

Case Presentation

A 90-year-old man with a medical history of arterial hypertension, hyperlipidemia, type 2 diabetes mellitus, coronary artery disease, and vascular dementia presented to the emergency department with hypoactivity, poor appetite, productive cough, and shortness of breath. The patient was a former smoker (unknown pack-years) who quit smoking cigarettes 7 years prior. Vital signs showed sinus tachycardia and peripheral oxygen saturation of 90% at room air. The initial physical examination was remarkable for decreased breath sounds and crackles at the left lung base. Laboratory findings showed leukocytosis with neutrophilia and chronic normocytic anemia. Chest computed tomography (CT) showed a large left-sided pleural effusion occupying most of the left hemithorax with adjacent atelectatic lung, enlarged pretracheal, subcarinal, and left perihilar lymph nodes (Figure 1).

The patient was admitted to the internal medicine ward with the diagnosis of left pneumonic process and started on IV levofloxacin. However, despite 7 days of antibiotic therapy, the patient’s respiratory symptoms worsened. This clinical deterioration prompted pulmonary service consultation. Chest radiography demonstrated an enlarging left pleural effusion (Figure 2). A thoracentesis drained 1.2 L of serosanguineous pleural fluid. Pleural fluid analysis showed a cell count of 947/cm3 with 79% of lymphocytes, total protein 3.8 g/dL, lactic dehydrogenase (LDH) level 607 U/L, and glucose level 109 mg/dL. Serum total protein was 6.62 g/dL, LDH 666 U/L and glucose 92 mg/dL (Tables 1 and 2). Alanine transaminase (ALT) and aspartate aminotransferase (AST) were 11 U/L and 21 U/L, respectively. Using Light criteria, the pleural:serum protein ratio was 0.57, the pleural:serum LDH ratio was 0.91, and the pleural LDH was more than two-thirds of the serum LDH. These calculations were consistent with an exudative effusion. An infectious disease workup, including blood and pleural fluid cultures, was negative.

The pleural fluid concentrated cell block hematoxylin and eosin (H&E) staining showed chromatin, prominent nucleoli, and nuclear molding, which was compatible with high-grade lung NET (Figure 3). The cell block immunohistochemistry (IHC) was positive for synaptophysin, chromogranin A, and neuron specific enolase (NSE) also consistent with a high-grade pulmonary NET (Figure 4). The proliferation marker protein Ki-67 labeling index (LI) showed a proliferation index > 20% (Figure 5). The patient did not have decision-making capacity given vascular dementia. Multiple attempts to contact the next of kin or family members were unsuccessful. Risks vs benefits were evaluated, and given the patient’s advanced age and multiple comorbidities, a conservative management approach under palliative care was chosen. For this reason, further genomic studies were not done.

 

 

Discussion

NETs are a group of neoplasms that differ in site, amount of cell propagation, and clinical manifestations.4 These tumors are rare with an estimated incidence of 25 to 50 per 100,000.4 The most commonly affected organ systems are the gastroenteropancreatic and the bronchopulmonary tracts, accounting for 60% and 25% of the tumors, respectively.4 The incidence is increasing over the past years in part because of novel diagnostic techniques.

The average age of diagnosis is between the fourth and sixth decades, affecting more women than men.5 Smoking has been identified as a possible culprit for the development of these neoplasms; nonetheless, the association is still not clear.4 For example, poorly differentiated pulmonary NETs have a strong association with smoking but not well-differentiated pulmonary NETs.2

Patients typically present with cough, wheezing, hemoptysis, and recurrent pneumonias, which are in part a consequence of obstruction caused by the mass.2 Sometimes, obstruction may yield persistent pleural effusions. Hemoptysis may be seen secondary to the vascularity of pulmonary NETs.

The diagnosis is often delayed because patients are frequently treated for infection before being diagnosed with the malignancy, such as in our case. Radiologic image findings include round opacities, central masses, and atelectasis. Pulmonary NETs are frequently found incidentally as solitary lung nodules. The CT scan is the most common diagnostic modality and can provide information about the borders of the tumor, the location and surrounding structures, including the presence of atelectasis.5 Pulmonary NETs are usually centrally located in an accessible region for lung biopsy. In cases where the mass is not easily reachable, thoracentesis may provide the only available specimen.

The 2015 World Health Organization classification has identified 4 histologic types of pulmonary NETs, namely, typical carcinoid (TC), atypical carcinoid (AC), large cell neuroendocrine carcinoma (LCNEC) and small cell lung carcinoma (SCLC).6 The low-grade pulmonary NET, the typical carcinoid, is slow growing and has lower rates of metastasis. The intermediate-grade NET, the atypical carcinoid, is more aggressive. The highgrade NETs, the LCNEC and the SCLC, are aggressive and spread quickly to other places.6 Consequently, LCNEC and SCLC have higher mortalities with a 5-year survival, ranging from 13 to 57% and 5%, respectively.7

Tumors may be histomorphologically classified by H&E staining. The main characteristics that differentiate the low- and high-grade NETs are the presence of necrosis and the mitotic rate. Both categories form neuropeptides and have dense granular cores when seen with an electron microscopy.6 The TC and AC have welldefined, organized histologic patterns, no necrosis, and scarce mitosis. On the other hand, the LCNEC and SCLC are poorly differentiated tumors with necrosis, atypia, and mitosis.6 LCNEC can be separated from SCLC and other tumors by IHC staining, whereas SCLC is primarily distinguished by morphology.

If the biopsy sample size is small, then IHC morphology and markers are helpful for subclassification.8 IHC is used to discern between neuroendocrine (NE) vs non-NE. The evaluation of pleural fluid includes preparation of cell blocks. Cell block staining is deemed better for IHC because it mimics a small biopsy that enables superior stains.9 The need for a pleural biopsy in cases where the cytology is negative depends on treatment aims, the kind of tumor, and the presence of metastasis.10 In almost 80% of cases, pleural biopsy and cytology are the only specimens obtained for analysis.Therefore, identification of these markers is practical for diagnosis.10 For this reason, pleural effusion samples are appropriate options to lung biopsy for molecular studies.10

 

 

Ki-67 LI in samples has the highest specificity and sensitivity for low-tointermediate- grade vs high-grade tumors. It is being used for guiding clinical and treatment decisions.6 In SCLC, the Ki-67 LI is not necessary for diagnosis but will be about 80%.11 The tumor cells will show epithelial characteristics with positive cytokeratin AE1/AE3 and monoclonal antibody CAM5.2 and neuroendocrine markers, including NCAM/CD56, chromogranin A, and synaptophysin.11

Thyroid transcription factor-1 (TTF- 1) is positive in most cases. In LCNEC, the Ki-67 LI is between 40% and 80%. NCAM/ CD56, chromogranin A, and synaptophysin are present in 92 to 100%, 80 to 85%, and 50 to 60%, respectively.11 TTF-1 is identified in half of the tumors. All these tumors express pancytokeratin (AE1/AE3), cytokeratin 7 or low-molecular-weight cytokeratin. Likewise, the carcinoids will show markers, such as chromogranin A, synaptophysin, CD56, and epithelial markers like pancytokeratin.11 However, the high-molecular-weight cytokeratin and TTF-1 are negative. Furthermore, NSE is considered a good tumor marker in the diagnosis and prognosis of SCLC. NSE also has been reported in NSCLC. The level of NSE correlates with tumor burden, number of metastatic sites, and response to treatment. 12 A potentially useful marker is the insulinoma-associated protein 1, which is a nuclear determinant of NE differentiation that stains all types of pulmonary NETs irrespective of the histology but does not stain adenocarcinoma or squamous cell carcinoma (SCC).6

Recently, genomic studies have identified gene alterations that have become standard of care for diagnosis and targeted therapies.8 For example, epidermal growth factor receptor (EGFR) and echinoderm microtubule- associated proteinlike 4, and anaplastic lymphoma kinase (EML4-ALK) mutations have been found in about 25% of lung adenocarcinomas. 8 Other abnormalities in LKB1/STK11, NF1, CDKN2A, SMARCA4 and KEAP1, KRAS, MET, ROS1, and RET have also been identified.8 On the other hand, SCC rarely have derangements in EGFR and EML4-ALK, but do show changes in RTKs, DDR2M, FGGRs, among others.8 In TC and AC, observed molecular alterations include MEN1 mutations, mTOR, and SSTRs pathway activation, and GC/ CEACAM1 and CD44/OTP expression.13 LCNEC and SCLC have shown TP53 and RB1 mutations and CDX2/VIL1/BAI3 expression. DLL3 expression and MET mutations may be present in SCLC.13 Last, chromatin remodeling gene mutations have been identified in all these lung NET types.13

Furthermore, neuropeptides and neuroamines may be measured in the blood and urine.14 Pulmonary NETs may be functional and secrete these substances, leading to systemic symptoms based on the released molecules.15 However, pulmonary NETs produce less serotonin than gastrointestinal NETs; therefore, carcinoid syndrome is less frequent in pulmonary NETs.16 Liver metastasis is often present when it occurs.5 Other possible clinical features include Cushing syndrome and acromegaly depending on the secreted hormones.5

In a recent metanalysis, serum LDH has been found to have a prognostic role in Ewing sarcoma, urologic cancers, malignant mesothelioma, among others.17 It demonstrated that a higher LDH concentration is associated with worse survival in patients with lung cancer.17 Serum LDH is an enzyme that catalyzes the reaction between lactic acid and pyruvic acid that typically takes place in anaerobic conditions.17 LDH levels are elevated in malignancies because tumors have an anaerobic environment. Elevated LDH levels correlate with the anaerobic metabolism in the tumor. Other studies also have noted that patients with high metastatic score have higher LDH levels.17 Therefore, LDH may reflect tumor extension.

In addition, other techniques, such as somatostatin- receptor imaging are specifically beneficial in tumors that express the somatostatin receptor.16 For this reason, this type of study is typically indicated in patients with known metastasis, not in patients with low-grade tumors. Abdominal CT scans are done because the liver is a common site for metastasis.

Our case report demonstrates how biomarkers help diagnose these potentially aggressive and life-threatening tumors that may present as a common condition such as a pleural effusion. Using a less invasive and quicker approach with thoracentesis rather than with lung biopsies is a diagnostic tool in this entity. IHC in cell blocks is a reasonable diagnostic method especially in patients in whom performing a lung biopsy is difficult.

Conclusions

The presence of a symptomatic and recurrent unilateral pleural effusion must urge physicians to consider thoracentesis with mindful use of biomarkers not only for therapeutic purposes, but also for diagnosis of a variety of etiologies, both benign and malignant.

Neuroendocrine tumors (NETs) account for about 0.5% of all newly diagnosed malignancies.1 Pulmonary NETs are rare, accounting for 1 to 2% of all invasive lung malignancies and involve about 20 to 25% of primary lung malignancies. 2,3 Their prevalence has increased by an estimated 6% per year over the past 30 years.2 Nonetheless, the time of diagnosis is frequently delayed because of nonspecific symptoms that may imitate other pulmonary conditions.

In the normal pleural space, there is a steady state in which there is a roughly equal rate of fluid formation and absorption. Any disequilibrium may produce a pleural effusion. Pleural fluids can be transudates or exudates. Transudates result from imbalances in hydrostatic and oncotic pressures in the pleural space. Exudates result primarily from pleural and/or lung inflammation or from impaired lymphatic drainage of the pleural space. Clinical manifestations include cough, wheezing, recurrent pneumonia, hemoptysis and pleural effusions. We present a case of a man who developed a large left pleural effusion with a pathology report suggesting a pulmonary NET as the etiology. Being aware of this rare entity may help improve prognosis by making an earlier diagnosis and starting treatment sooner.

 

Case Presentation

A 90-year-old man with a medical history of arterial hypertension, hyperlipidemia, type 2 diabetes mellitus, coronary artery disease, and vascular dementia presented to the emergency department with hypoactivity, poor appetite, productive cough, and shortness of breath. The patient was a former smoker (unknown pack-years) who quit smoking cigarettes 7 years prior. Vital signs showed sinus tachycardia and peripheral oxygen saturation of 90% at room air. The initial physical examination was remarkable for decreased breath sounds and crackles at the left lung base. Laboratory findings showed leukocytosis with neutrophilia and chronic normocytic anemia. Chest computed tomography (CT) showed a large left-sided pleural effusion occupying most of the left hemithorax with adjacent atelectatic lung, enlarged pretracheal, subcarinal, and left perihilar lymph nodes (Figure 1).

The patient was admitted to the internal medicine ward with the diagnosis of left pneumonic process and started on IV levofloxacin. However, despite 7 days of antibiotic therapy, the patient’s respiratory symptoms worsened. This clinical deterioration prompted pulmonary service consultation. Chest radiography demonstrated an enlarging left pleural effusion (Figure 2). A thoracentesis drained 1.2 L of serosanguineous pleural fluid. Pleural fluid analysis showed a cell count of 947/cm3 with 79% of lymphocytes, total protein 3.8 g/dL, lactic dehydrogenase (LDH) level 607 U/L, and glucose level 109 mg/dL. Serum total protein was 6.62 g/dL, LDH 666 U/L and glucose 92 mg/dL (Tables 1 and 2). Alanine transaminase (ALT) and aspartate aminotransferase (AST) were 11 U/L and 21 U/L, respectively. Using Light criteria, the pleural:serum protein ratio was 0.57, the pleural:serum LDH ratio was 0.91, and the pleural LDH was more than two-thirds of the serum LDH. These calculations were consistent with an exudative effusion. An infectious disease workup, including blood and pleural fluid cultures, was negative.

The pleural fluid concentrated cell block hematoxylin and eosin (H&E) staining showed chromatin, prominent nucleoli, and nuclear molding, which was compatible with high-grade lung NET (Figure 3). The cell block immunohistochemistry (IHC) was positive for synaptophysin, chromogranin A, and neuron specific enolase (NSE) also consistent with a high-grade pulmonary NET (Figure 4). The proliferation marker protein Ki-67 labeling index (LI) showed a proliferation index > 20% (Figure 5). The patient did not have decision-making capacity given vascular dementia. Multiple attempts to contact the next of kin or family members were unsuccessful. Risks vs benefits were evaluated, and given the patient’s advanced age and multiple comorbidities, a conservative management approach under palliative care was chosen. For this reason, further genomic studies were not done.

 

 

Discussion

NETs are a group of neoplasms that differ in site, amount of cell propagation, and clinical manifestations.4 These tumors are rare with an estimated incidence of 25 to 50 per 100,000.4 The most commonly affected organ systems are the gastroenteropancreatic and the bronchopulmonary tracts, accounting for 60% and 25% of the tumors, respectively.4 The incidence is increasing over the past years in part because of novel diagnostic techniques.

The average age of diagnosis is between the fourth and sixth decades, affecting more women than men.5 Smoking has been identified as a possible culprit for the development of these neoplasms; nonetheless, the association is still not clear.4 For example, poorly differentiated pulmonary NETs have a strong association with smoking but not well-differentiated pulmonary NETs.2

Patients typically present with cough, wheezing, hemoptysis, and recurrent pneumonias, which are in part a consequence of obstruction caused by the mass.2 Sometimes, obstruction may yield persistent pleural effusions. Hemoptysis may be seen secondary to the vascularity of pulmonary NETs.

The diagnosis is often delayed because patients are frequently treated for infection before being diagnosed with the malignancy, such as in our case. Radiologic image findings include round opacities, central masses, and atelectasis. Pulmonary NETs are frequently found incidentally as solitary lung nodules. The CT scan is the most common diagnostic modality and can provide information about the borders of the tumor, the location and surrounding structures, including the presence of atelectasis.5 Pulmonary NETs are usually centrally located in an accessible region for lung biopsy. In cases where the mass is not easily reachable, thoracentesis may provide the only available specimen.

The 2015 World Health Organization classification has identified 4 histologic types of pulmonary NETs, namely, typical carcinoid (TC), atypical carcinoid (AC), large cell neuroendocrine carcinoma (LCNEC) and small cell lung carcinoma (SCLC).6 The low-grade pulmonary NET, the typical carcinoid, is slow growing and has lower rates of metastasis. The intermediate-grade NET, the atypical carcinoid, is more aggressive. The highgrade NETs, the LCNEC and the SCLC, are aggressive and spread quickly to other places.6 Consequently, LCNEC and SCLC have higher mortalities with a 5-year survival, ranging from 13 to 57% and 5%, respectively.7

Tumors may be histomorphologically classified by H&E staining. The main characteristics that differentiate the low- and high-grade NETs are the presence of necrosis and the mitotic rate. Both categories form neuropeptides and have dense granular cores when seen with an electron microscopy.6 The TC and AC have welldefined, organized histologic patterns, no necrosis, and scarce mitosis. On the other hand, the LCNEC and SCLC are poorly differentiated tumors with necrosis, atypia, and mitosis.6 LCNEC can be separated from SCLC and other tumors by IHC staining, whereas SCLC is primarily distinguished by morphology.

If the biopsy sample size is small, then IHC morphology and markers are helpful for subclassification.8 IHC is used to discern between neuroendocrine (NE) vs non-NE. The evaluation of pleural fluid includes preparation of cell blocks. Cell block staining is deemed better for IHC because it mimics a small biopsy that enables superior stains.9 The need for a pleural biopsy in cases where the cytology is negative depends on treatment aims, the kind of tumor, and the presence of metastasis.10 In almost 80% of cases, pleural biopsy and cytology are the only specimens obtained for analysis.Therefore, identification of these markers is practical for diagnosis.10 For this reason, pleural effusion samples are appropriate options to lung biopsy for molecular studies.10

 

 

Ki-67 LI in samples has the highest specificity and sensitivity for low-tointermediate- grade vs high-grade tumors. It is being used for guiding clinical and treatment decisions.6 In SCLC, the Ki-67 LI is not necessary for diagnosis but will be about 80%.11 The tumor cells will show epithelial characteristics with positive cytokeratin AE1/AE3 and monoclonal antibody CAM5.2 and neuroendocrine markers, including NCAM/CD56, chromogranin A, and synaptophysin.11

Thyroid transcription factor-1 (TTF- 1) is positive in most cases. In LCNEC, the Ki-67 LI is between 40% and 80%. NCAM/ CD56, chromogranin A, and synaptophysin are present in 92 to 100%, 80 to 85%, and 50 to 60%, respectively.11 TTF-1 is identified in half of the tumors. All these tumors express pancytokeratin (AE1/AE3), cytokeratin 7 or low-molecular-weight cytokeratin. Likewise, the carcinoids will show markers, such as chromogranin A, synaptophysin, CD56, and epithelial markers like pancytokeratin.11 However, the high-molecular-weight cytokeratin and TTF-1 are negative. Furthermore, NSE is considered a good tumor marker in the diagnosis and prognosis of SCLC. NSE also has been reported in NSCLC. The level of NSE correlates with tumor burden, number of metastatic sites, and response to treatment. 12 A potentially useful marker is the insulinoma-associated protein 1, which is a nuclear determinant of NE differentiation that stains all types of pulmonary NETs irrespective of the histology but does not stain adenocarcinoma or squamous cell carcinoma (SCC).6

Recently, genomic studies have identified gene alterations that have become standard of care for diagnosis and targeted therapies.8 For example, epidermal growth factor receptor (EGFR) and echinoderm microtubule- associated proteinlike 4, and anaplastic lymphoma kinase (EML4-ALK) mutations have been found in about 25% of lung adenocarcinomas. 8 Other abnormalities in LKB1/STK11, NF1, CDKN2A, SMARCA4 and KEAP1, KRAS, MET, ROS1, and RET have also been identified.8 On the other hand, SCC rarely have derangements in EGFR and EML4-ALK, but do show changes in RTKs, DDR2M, FGGRs, among others.8 In TC and AC, observed molecular alterations include MEN1 mutations, mTOR, and SSTRs pathway activation, and GC/ CEACAM1 and CD44/OTP expression.13 LCNEC and SCLC have shown TP53 and RB1 mutations and CDX2/VIL1/BAI3 expression. DLL3 expression and MET mutations may be present in SCLC.13 Last, chromatin remodeling gene mutations have been identified in all these lung NET types.13

Furthermore, neuropeptides and neuroamines may be measured in the blood and urine.14 Pulmonary NETs may be functional and secrete these substances, leading to systemic symptoms based on the released molecules.15 However, pulmonary NETs produce less serotonin than gastrointestinal NETs; therefore, carcinoid syndrome is less frequent in pulmonary NETs.16 Liver metastasis is often present when it occurs.5 Other possible clinical features include Cushing syndrome and acromegaly depending on the secreted hormones.5

In a recent metanalysis, serum LDH has been found to have a prognostic role in Ewing sarcoma, urologic cancers, malignant mesothelioma, among others.17 It demonstrated that a higher LDH concentration is associated with worse survival in patients with lung cancer.17 Serum LDH is an enzyme that catalyzes the reaction between lactic acid and pyruvic acid that typically takes place in anaerobic conditions.17 LDH levels are elevated in malignancies because tumors have an anaerobic environment. Elevated LDH levels correlate with the anaerobic metabolism in the tumor. Other studies also have noted that patients with high metastatic score have higher LDH levels.17 Therefore, LDH may reflect tumor extension.

In addition, other techniques, such as somatostatin- receptor imaging are specifically beneficial in tumors that express the somatostatin receptor.16 For this reason, this type of study is typically indicated in patients with known metastasis, not in patients with low-grade tumors. Abdominal CT scans are done because the liver is a common site for metastasis.

Our case report demonstrates how biomarkers help diagnose these potentially aggressive and life-threatening tumors that may present as a common condition such as a pleural effusion. Using a less invasive and quicker approach with thoracentesis rather than with lung biopsies is a diagnostic tool in this entity. IHC in cell blocks is a reasonable diagnostic method especially in patients in whom performing a lung biopsy is difficult.

Conclusions

The presence of a symptomatic and recurrent unilateral pleural effusion must urge physicians to consider thoracentesis with mindful use of biomarkers not only for therapeutic purposes, but also for diagnosis of a variety of etiologies, both benign and malignant.

References

1. Oronsky B, Ma PC, Morgensztern D, Carter CA. Nothing but NET: a review of neuroendocrine tumors and carcinomas. Neoplasia. 2017;19(12):991-1002. doi: 10.1016/j.neo.2017.09.002

2. Hendifar AE, Marchevsky AM, Tuli R. Neuroendocrine tumors of the lung: current challenges and advances in the diagnosis and management of well-differentiated disease. J Thorac Oncol. 2017;12(3):425-436. doi: 10.1016/j.jtho.2016.11.2222

3. Fisseler-Eckhoff A, Demes M. Neuroendocrine tumors of the lung. Cancers (Basel). 2012;4(3):777-798. doi: 10.3390/cancers4030777

4. Mandegaran R, David S, Screaton N. Cardiothoracic manifestations of neuroendocrine tumours. Br J Radiol. 2016;89(1060). doi: 10.1259/bjr.20150787

5. Caplin ME, Baudin E, Ferolla P, et al; ENETS consensus conference participants. Pulmonary neuroendocrine (carcinoid) tumors: European Neuroendocrine Tumor Society expert consensus and recommendations for best practice for typical and atypical pulmonary carcinoids. Ann Oncol. 2015;26(8):1604-1620. doi: 10.1093/annonc/mdv041

6. Pelosi G, Sonzogni A, Harari S, et al. Classification of pulmonary neuroendocrine tumors: new insights. Transl Lung Cancer Res. 2017;6(5):513-529. doi: 10.21037/tlcr.2017.09.04

7. Rossi G, Bertero L, Marchiò C, Papotti M. Molecular alterations of neuroendocrine tumours of the lung. Histopathology. 2018;72(1):142-152. doi: 10.1111/his.13394.

8. Osmani L, Askin F, Gabrielson E, Li QK. Current WHO guidelines and the critical role of immunohistochemical markers in the subclassification of non-small cell lung carcinoma (NSCLC): moving from targeted therapy to immunotherapy. Semin Cancer Biol. 2018;52(pt 1):103-109. doi: 10.1016/j.semcancer.2017.11.019

9. Kaur G, Nijhawan R, Gupta N, Singh N, Rajwanshi A. Pleural fluid cytology samples in cases of suspected lung cancer: an experience from a tertiary care centre. Diagn Cytopathol. 2017;45(3):195-201.

10. Porcel JM. Biomarkers in the diagnosis of pleural diseases: a 2018 update. Ther Adv Respir Dis. 2018;12. doi: 10.1177/1753466618808660

11. Kim JY, Hong SM, Ro JY. Recent updates on grading and classification of neuroendocrine tumors. Ann Diagn Pathol. 2017;29:11-16. doi: 10.1016/j.anndiagpath.2017.04.005

12. Isgrò MA, Bottoni P, Scatena R. Neuron-specific enolase as a biomarker: biochemical and clinical aspects. Adv Exp Med Biol. 2015;867:125-143. doi: 10.1007/978-94-017-7215-0_9

13. Rossi G, Bertero L, Marchiò C, Papotti M. Molecular alterations of neuroendocrine tumours of the lung. Histopathology. 2018;72(1):142-152. doi: 10.1111/his.13394

14. Eriksson B, Oberg K, Stridsberg M. Tumor markers in neuroendocrine tumors. Digestion. 2000;62(suppl 1):33-38.

15. Melosky B. Low grade neuroendocrine tumors of the lung. Front Oncol. 2017;7:119. doi: 10.3389/fonc.2017.00119

16. Gustafsson BI, Kidd M, Chan A, Malfertheiner MV, Modlin IM. Bronchopulmonary neuroendocrine tumors. Cancer. 2001;113(1):5-21. https://doi.org/10.1002/cncr.23542

17. Deng T, Zhang J, Meng Y, Zhou Y, Li W. Higher pretreatment lactate dehydrogenase concentration predicts worse overall survival in patients with lung cancer. Medicine (Baltimore). 2018;97(38):e12524

References

1. Oronsky B, Ma PC, Morgensztern D, Carter CA. Nothing but NET: a review of neuroendocrine tumors and carcinomas. Neoplasia. 2017;19(12):991-1002. doi: 10.1016/j.neo.2017.09.002

2. Hendifar AE, Marchevsky AM, Tuli R. Neuroendocrine tumors of the lung: current challenges and advances in the diagnosis and management of well-differentiated disease. J Thorac Oncol. 2017;12(3):425-436. doi: 10.1016/j.jtho.2016.11.2222

3. Fisseler-Eckhoff A, Demes M. Neuroendocrine tumors of the lung. Cancers (Basel). 2012;4(3):777-798. doi: 10.3390/cancers4030777

4. Mandegaran R, David S, Screaton N. Cardiothoracic manifestations of neuroendocrine tumours. Br J Radiol. 2016;89(1060). doi: 10.1259/bjr.20150787

5. Caplin ME, Baudin E, Ferolla P, et al; ENETS consensus conference participants. Pulmonary neuroendocrine (carcinoid) tumors: European Neuroendocrine Tumor Society expert consensus and recommendations for best practice for typical and atypical pulmonary carcinoids. Ann Oncol. 2015;26(8):1604-1620. doi: 10.1093/annonc/mdv041

6. Pelosi G, Sonzogni A, Harari S, et al. Classification of pulmonary neuroendocrine tumors: new insights. Transl Lung Cancer Res. 2017;6(5):513-529. doi: 10.21037/tlcr.2017.09.04

7. Rossi G, Bertero L, Marchiò C, Papotti M. Molecular alterations of neuroendocrine tumours of the lung. Histopathology. 2018;72(1):142-152. doi: 10.1111/his.13394.

8. Osmani L, Askin F, Gabrielson E, Li QK. Current WHO guidelines and the critical role of immunohistochemical markers in the subclassification of non-small cell lung carcinoma (NSCLC): moving from targeted therapy to immunotherapy. Semin Cancer Biol. 2018;52(pt 1):103-109. doi: 10.1016/j.semcancer.2017.11.019

9. Kaur G, Nijhawan R, Gupta N, Singh N, Rajwanshi A. Pleural fluid cytology samples in cases of suspected lung cancer: an experience from a tertiary care centre. Diagn Cytopathol. 2017;45(3):195-201.

10. Porcel JM. Biomarkers in the diagnosis of pleural diseases: a 2018 update. Ther Adv Respir Dis. 2018;12. doi: 10.1177/1753466618808660

11. Kim JY, Hong SM, Ro JY. Recent updates on grading and classification of neuroendocrine tumors. Ann Diagn Pathol. 2017;29:11-16. doi: 10.1016/j.anndiagpath.2017.04.005

12. Isgrò MA, Bottoni P, Scatena R. Neuron-specific enolase as a biomarker: biochemical and clinical aspects. Adv Exp Med Biol. 2015;867:125-143. doi: 10.1007/978-94-017-7215-0_9

13. Rossi G, Bertero L, Marchiò C, Papotti M. Molecular alterations of neuroendocrine tumours of the lung. Histopathology. 2018;72(1):142-152. doi: 10.1111/his.13394

14. Eriksson B, Oberg K, Stridsberg M. Tumor markers in neuroendocrine tumors. Digestion. 2000;62(suppl 1):33-38.

15. Melosky B. Low grade neuroendocrine tumors of the lung. Front Oncol. 2017;7:119. doi: 10.3389/fonc.2017.00119

16. Gustafsson BI, Kidd M, Chan A, Malfertheiner MV, Modlin IM. Bronchopulmonary neuroendocrine tumors. Cancer. 2001;113(1):5-21. https://doi.org/10.1002/cncr.23542

17. Deng T, Zhang J, Meng Y, Zhou Y, Li W. Higher pretreatment lactate dehydrogenase concentration predicts worse overall survival in patients with lung cancer. Medicine (Baltimore). 2018;97(38):e12524

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WHO clarifies comments on asymptomatic transmission of SARS-CoV-2

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Thu, 08/26/2021 - 16:05

A World Health Organization (WHO) official is walking back her comments characterizing the spread of SARS-CoV-2 by asymptomatic individuals as “rare.”

Dr. Maria Van Kerkhove

Maria Van Kerkhove, PhD, WHO’s COVID-19 technical lead and an infectious disease epidemiologist, caused a stir June 8 when she said that countries are reporting that many of their asymptomatic cases develop into cases of mild disease. For patients with truly asymptomatic disease, countries are “not finding secondary transmission onward. It’s very rare,” she said.

Suppressing symptomatic cases, on the other hand, would result in a “drastic reduction” in transmission, she noted. “But from the data we have, it still seems to be rare that an asymptomatic person actually transmits onward to a secondary individual,” she said.

But on June 9 – following a day of confusion and criticism – Dr. Van Kerkhove sought to clarify her comments on asymptomatic transmission during a live social media Q&A. She noted that while “the majority of transmission that we know about” is through individuals with symptoms, “there are a subset of people who don’t develop symptoms, and to truly understand how many people don’t have symptoms – we don’t actually have that answer yet.”

Between 6% and 41% of individuals may be asymptomatic based on estimates, she acknowledged.“What we need to better understand is how many of the people in the population don’t have symptoms, and separately, how many of those individuals go on to transmit to others,” she said.

Dr. Van Kerkhove also emphasized that her initial comments were made in response to a question raised at the press conference, and called it a misunderstanding. “I wasn’t stating a policy of WHO or anything like that,” she said. “I was just trying to articulate what we know.”

The phrase “very rare” referred to a subset of studies and reports WHO had received from its member states following asymptomatic individuals with COVID-19. “I was referring to some detailed investigations, cluster investigations, case contact tracing, where we had reports from member states saying that, when we follow asymptomatic cases, it’s very rare – and I used the phrase very rare – that we found a secondary transmission,” she said.

Dr. Van Kerkhove’s initial comments drew criticism from medical and public health professionals, who said the statement was “confusing” and communicated poorly.

Eric J. Topol, MD, tweeted that WHO had “engendered considerable confusion” with the comments about asymptomatic individuals rarely transmitting SARS-CoV-2. Dr. Topol, the author of a recent analysis published in Annals of Internal Medicine that suggested as many as 40%-45% of COVID-19 cases may be asymptomatic, said that it was not possible to determine whether asymptomatic individuals in the cohorts he studied were capable of spread like pre-symptomatic individuals. “We only know the viral loads are similar from multiple reports. And we do know some spread occurs from [asymptomatic] people,” he said.

Andy Slavitt, former acting administrator of the Centers for Medicare and Medicaid Services, said in a tweet that he believed WHO made “an irresponsible statement even though it was based on legitimate observations.” Reports by Member States do not reach a “bar of rigor,” he said.

Natalie E. Dean, PhD, assistant professor of biostatistics at the University of Florida, tweeted that the initial comments by the WHO seemed to be trying to draw a distinction between asymptomatic individuals who never develop symptoms, and presymptomatic individuals who present as asymptomatic, but later develop symptoms. Finding that asymptomatic cases rarely transmit the virus could change how people exposed to those asymptomatic individuals are monitored, but “it seems more of scientific than practical interest,” she noted. “People without current symptoms could be infectious. Act accordingly.”

Anthony S. Fauci, MD, director of the National Institute of Allergy and Infectious Diseases, also weighed in on the controversial WHO comments, telling Good Morning America on June 10 that Dr. Van Kerkhove's initial statement that asymptomatic SARS-CoV-2 transmission is a rare event is "not correct." 

This article was updated 6/10/20.

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A World Health Organization (WHO) official is walking back her comments characterizing the spread of SARS-CoV-2 by asymptomatic individuals as “rare.”

Dr. Maria Van Kerkhove

Maria Van Kerkhove, PhD, WHO’s COVID-19 technical lead and an infectious disease epidemiologist, caused a stir June 8 when she said that countries are reporting that many of their asymptomatic cases develop into cases of mild disease. For patients with truly asymptomatic disease, countries are “not finding secondary transmission onward. It’s very rare,” she said.

Suppressing symptomatic cases, on the other hand, would result in a “drastic reduction” in transmission, she noted. “But from the data we have, it still seems to be rare that an asymptomatic person actually transmits onward to a secondary individual,” she said.

But on June 9 – following a day of confusion and criticism – Dr. Van Kerkhove sought to clarify her comments on asymptomatic transmission during a live social media Q&A. She noted that while “the majority of transmission that we know about” is through individuals with symptoms, “there are a subset of people who don’t develop symptoms, and to truly understand how many people don’t have symptoms – we don’t actually have that answer yet.”

Between 6% and 41% of individuals may be asymptomatic based on estimates, she acknowledged.“What we need to better understand is how many of the people in the population don’t have symptoms, and separately, how many of those individuals go on to transmit to others,” she said.

Dr. Van Kerkhove also emphasized that her initial comments were made in response to a question raised at the press conference, and called it a misunderstanding. “I wasn’t stating a policy of WHO or anything like that,” she said. “I was just trying to articulate what we know.”

The phrase “very rare” referred to a subset of studies and reports WHO had received from its member states following asymptomatic individuals with COVID-19. “I was referring to some detailed investigations, cluster investigations, case contact tracing, where we had reports from member states saying that, when we follow asymptomatic cases, it’s very rare – and I used the phrase very rare – that we found a secondary transmission,” she said.

Dr. Van Kerkhove’s initial comments drew criticism from medical and public health professionals, who said the statement was “confusing” and communicated poorly.

Eric J. Topol, MD, tweeted that WHO had “engendered considerable confusion” with the comments about asymptomatic individuals rarely transmitting SARS-CoV-2. Dr. Topol, the author of a recent analysis published in Annals of Internal Medicine that suggested as many as 40%-45% of COVID-19 cases may be asymptomatic, said that it was not possible to determine whether asymptomatic individuals in the cohorts he studied were capable of spread like pre-symptomatic individuals. “We only know the viral loads are similar from multiple reports. And we do know some spread occurs from [asymptomatic] people,” he said.

Andy Slavitt, former acting administrator of the Centers for Medicare and Medicaid Services, said in a tweet that he believed WHO made “an irresponsible statement even though it was based on legitimate observations.” Reports by Member States do not reach a “bar of rigor,” he said.

Natalie E. Dean, PhD, assistant professor of biostatistics at the University of Florida, tweeted that the initial comments by the WHO seemed to be trying to draw a distinction between asymptomatic individuals who never develop symptoms, and presymptomatic individuals who present as asymptomatic, but later develop symptoms. Finding that asymptomatic cases rarely transmit the virus could change how people exposed to those asymptomatic individuals are monitored, but “it seems more of scientific than practical interest,” she noted. “People without current symptoms could be infectious. Act accordingly.”

Anthony S. Fauci, MD, director of the National Institute of Allergy and Infectious Diseases, also weighed in on the controversial WHO comments, telling Good Morning America on June 10 that Dr. Van Kerkhove's initial statement that asymptomatic SARS-CoV-2 transmission is a rare event is "not correct." 

This article was updated 6/10/20.

A World Health Organization (WHO) official is walking back her comments characterizing the spread of SARS-CoV-2 by asymptomatic individuals as “rare.”

Dr. Maria Van Kerkhove

Maria Van Kerkhove, PhD, WHO’s COVID-19 technical lead and an infectious disease epidemiologist, caused a stir June 8 when she said that countries are reporting that many of their asymptomatic cases develop into cases of mild disease. For patients with truly asymptomatic disease, countries are “not finding secondary transmission onward. It’s very rare,” she said.

Suppressing symptomatic cases, on the other hand, would result in a “drastic reduction” in transmission, she noted. “But from the data we have, it still seems to be rare that an asymptomatic person actually transmits onward to a secondary individual,” she said.

But on June 9 – following a day of confusion and criticism – Dr. Van Kerkhove sought to clarify her comments on asymptomatic transmission during a live social media Q&A. She noted that while “the majority of transmission that we know about” is through individuals with symptoms, “there are a subset of people who don’t develop symptoms, and to truly understand how many people don’t have symptoms – we don’t actually have that answer yet.”

Between 6% and 41% of individuals may be asymptomatic based on estimates, she acknowledged.“What we need to better understand is how many of the people in the population don’t have symptoms, and separately, how many of those individuals go on to transmit to others,” she said.

Dr. Van Kerkhove also emphasized that her initial comments were made in response to a question raised at the press conference, and called it a misunderstanding. “I wasn’t stating a policy of WHO or anything like that,” she said. “I was just trying to articulate what we know.”

The phrase “very rare” referred to a subset of studies and reports WHO had received from its member states following asymptomatic individuals with COVID-19. “I was referring to some detailed investigations, cluster investigations, case contact tracing, where we had reports from member states saying that, when we follow asymptomatic cases, it’s very rare – and I used the phrase very rare – that we found a secondary transmission,” she said.

Dr. Van Kerkhove’s initial comments drew criticism from medical and public health professionals, who said the statement was “confusing” and communicated poorly.

Eric J. Topol, MD, tweeted that WHO had “engendered considerable confusion” with the comments about asymptomatic individuals rarely transmitting SARS-CoV-2. Dr. Topol, the author of a recent analysis published in Annals of Internal Medicine that suggested as many as 40%-45% of COVID-19 cases may be asymptomatic, said that it was not possible to determine whether asymptomatic individuals in the cohorts he studied were capable of spread like pre-symptomatic individuals. “We only know the viral loads are similar from multiple reports. And we do know some spread occurs from [asymptomatic] people,” he said.

Andy Slavitt, former acting administrator of the Centers for Medicare and Medicaid Services, said in a tweet that he believed WHO made “an irresponsible statement even though it was based on legitimate observations.” Reports by Member States do not reach a “bar of rigor,” he said.

Natalie E. Dean, PhD, assistant professor of biostatistics at the University of Florida, tweeted that the initial comments by the WHO seemed to be trying to draw a distinction between asymptomatic individuals who never develop symptoms, and presymptomatic individuals who present as asymptomatic, but later develop symptoms. Finding that asymptomatic cases rarely transmit the virus could change how people exposed to those asymptomatic individuals are monitored, but “it seems more of scientific than practical interest,” she noted. “People without current symptoms could be infectious. Act accordingly.”

Anthony S. Fauci, MD, director of the National Institute of Allergy and Infectious Diseases, also weighed in on the controversial WHO comments, telling Good Morning America on June 10 that Dr. Van Kerkhove's initial statement that asymptomatic SARS-CoV-2 transmission is a rare event is "not correct." 

This article was updated 6/10/20.

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Tepotinib elicits responses in METex14 NSCLC

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Thu, 06/11/2020 - 08:25

 

The MET inhibitor tepotinib produced responses in about half of advanced non–small cell lung cancer (NSCLC) patients with confirmed MET exon 14–skipping mutations in an open-label, phase 2 study.

The objective response rate was 46.5% among the 99 patients followed for 9 or more months, as assessed by independent reviewers. There were no complete responders, according to the reviewers.

However, the response rate according to investigator assessment was 55.6%, including two responses that were judged to be complete.

The median duration of response was 11.1 months according to reviewers and 14 months according to investigators.

“The success of this trial, alongside other studies on the same class of drugs, establishes MET exon 14 as an actionable target for non–small cell lung cancer,” said senior author Xiuning Le, MD, PhD, assistant professor in the department of thoracic/head and neck medical oncology at the University of Texas MD Anderson Cancer Center, Houston.

Dr. Le presented results from this trial as part of the American Society of Clinical Oncology virtual scientific program. Results were published simultaneously in the New England Journal of Medicine.

The trial, dubbed VISION, already won tepotinib approval in Japan to treat NSCLC patients with MET exon 14–skipping mutations. The Food and Drug Administration has granted tepotinib breakthrough status, and Merck, the drug’s manufacturer, plans to submit tepotinib for review this year.

The VISION trial enrolled 152 patients with NSCLC – 99 with at least 9 months of follow-up and 53 with shorter follow-up. The patients’ MET exon 14 mutations were confirmed by liquid or tissue biopsy.

The patients’ median age at baseline was 74 years, 54% were men, and almost half had no smoking history. Patients received tepotinib at 500 mg daily until disease progression or intolerable toxicity.

Overall, the VISION results “compare favorably” with those from studies of other MET inhibitors, the investigators wrote.

The 46.5% objective response rate (per independent reviewers) included the 99 patients with follow-up of at least 9 months who were liquid- or tissue-biopsy positive (combined group). The response rate was 48.5% among the 66 patients with positive liquid biopsies and 50% among the 60 patients with positive tissue biopsies.

The median progression-free survival was 8.5 months in the combined group, 8.5 months in the liquid-biopsy group, and 11 months in the tissue-biopsy group. The median overall survival was 17.1 months, 15.8 months, and 22.3 months, respectively.

The 11 patients with brain metastases at baseline had results that were in line with the other patients’ results. Patients with brain metastases had an objective response rate of 54.5%, a median response duration of 9.5 months, and a median progression-free survival of 10.9 months.

Overall, 88.8% of patients reported adverse events related to treatment, including peripheral edema in 63.2%, nausea in 25.7%, and diarrhea in 21.7%.

Grade 3-4 adverse events occurred in 27% of patients. Peripheral edema was the most common of these events, reported in 7.2% of patients.

“Proactive monitoring for peripheral edema is recommended and can be managed with temporary discontinuation of tepotinib or dose reduction,” the investigators wrote.

The death of a 79-year-old patient with respiratory failure and dyspnea, secondary to interstitial lung disease, was the only death considered to be treatment related.

The study was funded by Merck. Dr. Le and other investigators disclosed relationships, including employment, with the company.

SOURCE: Le X et al. ASCO 2020, Abstract 9556.

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The MET inhibitor tepotinib produced responses in about half of advanced non–small cell lung cancer (NSCLC) patients with confirmed MET exon 14–skipping mutations in an open-label, phase 2 study.

The objective response rate was 46.5% among the 99 patients followed for 9 or more months, as assessed by independent reviewers. There were no complete responders, according to the reviewers.

However, the response rate according to investigator assessment was 55.6%, including two responses that were judged to be complete.

The median duration of response was 11.1 months according to reviewers and 14 months according to investigators.

“The success of this trial, alongside other studies on the same class of drugs, establishes MET exon 14 as an actionable target for non–small cell lung cancer,” said senior author Xiuning Le, MD, PhD, assistant professor in the department of thoracic/head and neck medical oncology at the University of Texas MD Anderson Cancer Center, Houston.

Dr. Le presented results from this trial as part of the American Society of Clinical Oncology virtual scientific program. Results were published simultaneously in the New England Journal of Medicine.

The trial, dubbed VISION, already won tepotinib approval in Japan to treat NSCLC patients with MET exon 14–skipping mutations. The Food and Drug Administration has granted tepotinib breakthrough status, and Merck, the drug’s manufacturer, plans to submit tepotinib for review this year.

The VISION trial enrolled 152 patients with NSCLC – 99 with at least 9 months of follow-up and 53 with shorter follow-up. The patients’ MET exon 14 mutations were confirmed by liquid or tissue biopsy.

The patients’ median age at baseline was 74 years, 54% were men, and almost half had no smoking history. Patients received tepotinib at 500 mg daily until disease progression or intolerable toxicity.

Overall, the VISION results “compare favorably” with those from studies of other MET inhibitors, the investigators wrote.

The 46.5% objective response rate (per independent reviewers) included the 99 patients with follow-up of at least 9 months who were liquid- or tissue-biopsy positive (combined group). The response rate was 48.5% among the 66 patients with positive liquid biopsies and 50% among the 60 patients with positive tissue biopsies.

The median progression-free survival was 8.5 months in the combined group, 8.5 months in the liquid-biopsy group, and 11 months in the tissue-biopsy group. The median overall survival was 17.1 months, 15.8 months, and 22.3 months, respectively.

The 11 patients with brain metastases at baseline had results that were in line with the other patients’ results. Patients with brain metastases had an objective response rate of 54.5%, a median response duration of 9.5 months, and a median progression-free survival of 10.9 months.

Overall, 88.8% of patients reported adverse events related to treatment, including peripheral edema in 63.2%, nausea in 25.7%, and diarrhea in 21.7%.

Grade 3-4 adverse events occurred in 27% of patients. Peripheral edema was the most common of these events, reported in 7.2% of patients.

“Proactive monitoring for peripheral edema is recommended and can be managed with temporary discontinuation of tepotinib or dose reduction,” the investigators wrote.

The death of a 79-year-old patient with respiratory failure and dyspnea, secondary to interstitial lung disease, was the only death considered to be treatment related.

The study was funded by Merck. Dr. Le and other investigators disclosed relationships, including employment, with the company.

SOURCE: Le X et al. ASCO 2020, Abstract 9556.

 

The MET inhibitor tepotinib produced responses in about half of advanced non–small cell lung cancer (NSCLC) patients with confirmed MET exon 14–skipping mutations in an open-label, phase 2 study.

The objective response rate was 46.5% among the 99 patients followed for 9 or more months, as assessed by independent reviewers. There were no complete responders, according to the reviewers.

However, the response rate according to investigator assessment was 55.6%, including two responses that were judged to be complete.

The median duration of response was 11.1 months according to reviewers and 14 months according to investigators.

“The success of this trial, alongside other studies on the same class of drugs, establishes MET exon 14 as an actionable target for non–small cell lung cancer,” said senior author Xiuning Le, MD, PhD, assistant professor in the department of thoracic/head and neck medical oncology at the University of Texas MD Anderson Cancer Center, Houston.

Dr. Le presented results from this trial as part of the American Society of Clinical Oncology virtual scientific program. Results were published simultaneously in the New England Journal of Medicine.

The trial, dubbed VISION, already won tepotinib approval in Japan to treat NSCLC patients with MET exon 14–skipping mutations. The Food and Drug Administration has granted tepotinib breakthrough status, and Merck, the drug’s manufacturer, plans to submit tepotinib for review this year.

The VISION trial enrolled 152 patients with NSCLC – 99 with at least 9 months of follow-up and 53 with shorter follow-up. The patients’ MET exon 14 mutations were confirmed by liquid or tissue biopsy.

The patients’ median age at baseline was 74 years, 54% were men, and almost half had no smoking history. Patients received tepotinib at 500 mg daily until disease progression or intolerable toxicity.

Overall, the VISION results “compare favorably” with those from studies of other MET inhibitors, the investigators wrote.

The 46.5% objective response rate (per independent reviewers) included the 99 patients with follow-up of at least 9 months who were liquid- or tissue-biopsy positive (combined group). The response rate was 48.5% among the 66 patients with positive liquid biopsies and 50% among the 60 patients with positive tissue biopsies.

The median progression-free survival was 8.5 months in the combined group, 8.5 months in the liquid-biopsy group, and 11 months in the tissue-biopsy group. The median overall survival was 17.1 months, 15.8 months, and 22.3 months, respectively.

The 11 patients with brain metastases at baseline had results that were in line with the other patients’ results. Patients with brain metastases had an objective response rate of 54.5%, a median response duration of 9.5 months, and a median progression-free survival of 10.9 months.

Overall, 88.8% of patients reported adverse events related to treatment, including peripheral edema in 63.2%, nausea in 25.7%, and diarrhea in 21.7%.

Grade 3-4 adverse events occurred in 27% of patients. Peripheral edema was the most common of these events, reported in 7.2% of patients.

“Proactive monitoring for peripheral edema is recommended and can be managed with temporary discontinuation of tepotinib or dose reduction,” the investigators wrote.

The death of a 79-year-old patient with respiratory failure and dyspnea, secondary to interstitial lung disease, was the only death considered to be treatment related.

The study was funded by Merck. Dr. Le and other investigators disclosed relationships, including employment, with the company.

SOURCE: Le X et al. ASCO 2020, Abstract 9556.

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In-hospital formula feeding more than doubles odds of early weaning

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Tue, 06/16/2020 - 22:15

Breastfed infants who receive formula in the hospital are more than twofold more likely to wean during the first year, compared with infants who are exclusively breastfed, according to research published online in Pediatrics.

patrisyu/Thinkstock

The finding is based on an analysis of data from over 8,000 infants in the Minnesota Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). The researchers used propensity scoring methods to match breastfed infants who received in-hospital formula to those who were exclusively breastfed. The researchers adjusted for potential confounders such as maternal age, cultural identity, marital status, education level, smoking, body mass index, diabetes mellitus, previous breastfeeding experience, and infant gestational age and birth weight.

“Our study strengthens the evidence that formula supplementation of breastfed infants negatively affects breastfeeding duration,” said Marcia Burton McCoy, MPH, of the Minnesota Department of Health’s WIC, and Pamela Heggie, MD, of the University of Minnesota in Minneapolis. “This finding has important clinical implications because breastfeeding duration has been shown to have a significant impact on numerous health outcomes, with a dose-response protective effect for sudden infant death syndrome, infection in infancy, and childhood obesity.”

Breastfeeding has various medical and neurodevelopmental benefits, and “even brief exposure to formula alters the infant microbiome long-term and increases the risk of allergy at 2 years of age,” the authors said.

In their study, one analysis that included 5,310 infants assumed that all bias was controlled through matching. A second, more conservative analysis that corrected for medically necessary supplementation included 4,836 infants. The researchers used data about in-hospital feeding which the Minnesota WIC staff collected in 2016 during WIC appointments.

In the first analysis, the hazard ratio of weaning across the first year was 6.1 among breastfed infants exposed to in-hospital formula feeding. In the second analysis, the hazard ratio was 2.5.

In-hospital formula feeding often leads to continued supplementation after discharge and may directly affect milk supply, Ms. McCoy and Dr. Heggie said. In-hospital formula feeding “is seldom medically necessary and, with rare exceptions, not medically indicated when the mother’s own milk or pasteurized donor milk is available.”

The study population was of lower income and more culturally diverse, compared with the general population, which may limit generalizability of the results, the authors noted.

With propensity scoring, the investigators found an association between in-hospital formula feeding and early weaning that “is analogous to previous estimates” that relied on more traditional observational methods, Lori B. Feldman-Winter, MD, MPH, professor of pediatrics at Cooper Medical School of Rowan University in Camden, N.J., and Ann L. Kellams, MD, professor of pediatrics at the University of Virginia in Charlottesville, said in an accompanying editorial.

“Maternal conditions such as obesity ... previous breast surgery, infertility, polycystic ovarian syndrome, and breast anomalies may lead to difficulties in establishing and maintaining sufficient milk supply as well as affect duration of continued breastfeeding,” the editorialists said. “Cultural, racial, and ethnic factors are also potential nonmedical reasons for breastfeeding supplementation.” In addition, implicit biases of health care practitioners may influence breastfeeding outcomes.

“The article by McCoy and Heggie gives us a compelling reason to avoid unnecessary supplementation, but there are also significant consequences of missing suboptimal intake in the newborn,” Dr. Feldman-Winter and Dr. Kellams emphasized. “Future research should be focused on methods of identifying both women and infants at risk for suboptimal intake, biological consequences of early formula supplementation, and best methods to preserve exclusive breastfeeding or human milk feeding.”

The study authors and the editorialists had no relevant financial disclosures.

SOURCES: McCoy MB et al. Pediatrics. 2020 Jun 9. doi: 10.1542/peds.2019-2946; Feldman-Winter LB and Kellams AL. Pediatrics. 2020 Jun 9. doi: 10.1542/peds.2020-1221.

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Breastfed infants who receive formula in the hospital are more than twofold more likely to wean during the first year, compared with infants who are exclusively breastfed, according to research published online in Pediatrics.

patrisyu/Thinkstock

The finding is based on an analysis of data from over 8,000 infants in the Minnesota Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). The researchers used propensity scoring methods to match breastfed infants who received in-hospital formula to those who were exclusively breastfed. The researchers adjusted for potential confounders such as maternal age, cultural identity, marital status, education level, smoking, body mass index, diabetes mellitus, previous breastfeeding experience, and infant gestational age and birth weight.

“Our study strengthens the evidence that formula supplementation of breastfed infants negatively affects breastfeeding duration,” said Marcia Burton McCoy, MPH, of the Minnesota Department of Health’s WIC, and Pamela Heggie, MD, of the University of Minnesota in Minneapolis. “This finding has important clinical implications because breastfeeding duration has been shown to have a significant impact on numerous health outcomes, with a dose-response protective effect for sudden infant death syndrome, infection in infancy, and childhood obesity.”

Breastfeeding has various medical and neurodevelopmental benefits, and “even brief exposure to formula alters the infant microbiome long-term and increases the risk of allergy at 2 years of age,” the authors said.

In their study, one analysis that included 5,310 infants assumed that all bias was controlled through matching. A second, more conservative analysis that corrected for medically necessary supplementation included 4,836 infants. The researchers used data about in-hospital feeding which the Minnesota WIC staff collected in 2016 during WIC appointments.

In the first analysis, the hazard ratio of weaning across the first year was 6.1 among breastfed infants exposed to in-hospital formula feeding. In the second analysis, the hazard ratio was 2.5.

In-hospital formula feeding often leads to continued supplementation after discharge and may directly affect milk supply, Ms. McCoy and Dr. Heggie said. In-hospital formula feeding “is seldom medically necessary and, with rare exceptions, not medically indicated when the mother’s own milk or pasteurized donor milk is available.”

The study population was of lower income and more culturally diverse, compared with the general population, which may limit generalizability of the results, the authors noted.

With propensity scoring, the investigators found an association between in-hospital formula feeding and early weaning that “is analogous to previous estimates” that relied on more traditional observational methods, Lori B. Feldman-Winter, MD, MPH, professor of pediatrics at Cooper Medical School of Rowan University in Camden, N.J., and Ann L. Kellams, MD, professor of pediatrics at the University of Virginia in Charlottesville, said in an accompanying editorial.

“Maternal conditions such as obesity ... previous breast surgery, infertility, polycystic ovarian syndrome, and breast anomalies may lead to difficulties in establishing and maintaining sufficient milk supply as well as affect duration of continued breastfeeding,” the editorialists said. “Cultural, racial, and ethnic factors are also potential nonmedical reasons for breastfeeding supplementation.” In addition, implicit biases of health care practitioners may influence breastfeeding outcomes.

“The article by McCoy and Heggie gives us a compelling reason to avoid unnecessary supplementation, but there are also significant consequences of missing suboptimal intake in the newborn,” Dr. Feldman-Winter and Dr. Kellams emphasized. “Future research should be focused on methods of identifying both women and infants at risk for suboptimal intake, biological consequences of early formula supplementation, and best methods to preserve exclusive breastfeeding or human milk feeding.”

The study authors and the editorialists had no relevant financial disclosures.

SOURCES: McCoy MB et al. Pediatrics. 2020 Jun 9. doi: 10.1542/peds.2019-2946; Feldman-Winter LB and Kellams AL. Pediatrics. 2020 Jun 9. doi: 10.1542/peds.2020-1221.

Breastfed infants who receive formula in the hospital are more than twofold more likely to wean during the first year, compared with infants who are exclusively breastfed, according to research published online in Pediatrics.

patrisyu/Thinkstock

The finding is based on an analysis of data from over 8,000 infants in the Minnesota Special Supplemental Nutrition Program for Women, Infants, and Children (WIC). The researchers used propensity scoring methods to match breastfed infants who received in-hospital formula to those who were exclusively breastfed. The researchers adjusted for potential confounders such as maternal age, cultural identity, marital status, education level, smoking, body mass index, diabetes mellitus, previous breastfeeding experience, and infant gestational age and birth weight.

“Our study strengthens the evidence that formula supplementation of breastfed infants negatively affects breastfeeding duration,” said Marcia Burton McCoy, MPH, of the Minnesota Department of Health’s WIC, and Pamela Heggie, MD, of the University of Minnesota in Minneapolis. “This finding has important clinical implications because breastfeeding duration has been shown to have a significant impact on numerous health outcomes, with a dose-response protective effect for sudden infant death syndrome, infection in infancy, and childhood obesity.”

Breastfeeding has various medical and neurodevelopmental benefits, and “even brief exposure to formula alters the infant microbiome long-term and increases the risk of allergy at 2 years of age,” the authors said.

In their study, one analysis that included 5,310 infants assumed that all bias was controlled through matching. A second, more conservative analysis that corrected for medically necessary supplementation included 4,836 infants. The researchers used data about in-hospital feeding which the Minnesota WIC staff collected in 2016 during WIC appointments.

In the first analysis, the hazard ratio of weaning across the first year was 6.1 among breastfed infants exposed to in-hospital formula feeding. In the second analysis, the hazard ratio was 2.5.

In-hospital formula feeding often leads to continued supplementation after discharge and may directly affect milk supply, Ms. McCoy and Dr. Heggie said. In-hospital formula feeding “is seldom medically necessary and, with rare exceptions, not medically indicated when the mother’s own milk or pasteurized donor milk is available.”

The study population was of lower income and more culturally diverse, compared with the general population, which may limit generalizability of the results, the authors noted.

With propensity scoring, the investigators found an association between in-hospital formula feeding and early weaning that “is analogous to previous estimates” that relied on more traditional observational methods, Lori B. Feldman-Winter, MD, MPH, professor of pediatrics at Cooper Medical School of Rowan University in Camden, N.J., and Ann L. Kellams, MD, professor of pediatrics at the University of Virginia in Charlottesville, said in an accompanying editorial.

“Maternal conditions such as obesity ... previous breast surgery, infertility, polycystic ovarian syndrome, and breast anomalies may lead to difficulties in establishing and maintaining sufficient milk supply as well as affect duration of continued breastfeeding,” the editorialists said. “Cultural, racial, and ethnic factors are also potential nonmedical reasons for breastfeeding supplementation.” In addition, implicit biases of health care practitioners may influence breastfeeding outcomes.

“The article by McCoy and Heggie gives us a compelling reason to avoid unnecessary supplementation, but there are also significant consequences of missing suboptimal intake in the newborn,” Dr. Feldman-Winter and Dr. Kellams emphasized. “Future research should be focused on methods of identifying both women and infants at risk for suboptimal intake, biological consequences of early formula supplementation, and best methods to preserve exclusive breastfeeding or human milk feeding.”

The study authors and the editorialists had no relevant financial disclosures.

SOURCES: McCoy MB et al. Pediatrics. 2020 Jun 9. doi: 10.1542/peds.2019-2946; Feldman-Winter LB and Kellams AL. Pediatrics. 2020 Jun 9. doi: 10.1542/peds.2020-1221.

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Difluoroethane Inhalant Abuse, Skeletal Fluorosis, and Withdrawal

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Difluoroethane Inhalant Abuse, Skeletal Fluorosis, and Withdrawal
Prolonged or excessive use of the central nervous system depressant difluoroethane, which is an easily acquired and inexpensive volatile substance that can be inhaled recreationally, is associated with toxicity, and abrupt cessation can induce withdrawal.

Difluoroethane (DFE) is an easily acquired and inexpensive volatile substance that can be inhaled recreationally. 1 It is found in common household items, including compressed air dusters, refrigerants, and propellants. DFE is a central nervous system (CNS) depressant associated with a brief sensation of euphoria when inhaled.2 Prolonged or excessive use is associated with toxicity, and abrupt cessation can induce withdrawal.3-5 We present a case of DFE abuse associated with skeletal fluorosis and withdrawal psychosis.

Case Presentation

A 39-year-old man with a 6-month history of inhaling 20 to 25 cans of DFE per day presented to the emergency department after abruptly stopping use 6 days prior. He described irritability, agitation, auditory hallucinations, and delusions of “demons trying to harm him.”

On presentation, the patient was afebrile with a mild sinus tachycardia. He was calm and cooperative but reported delusions and auditory hallucinations. He denied suicidal or homicidal ideation. His physical examination was remarkable for bony deformities of his hands (Figure 1).

The initial workup included a complete blood count; basic metabolic panel; liver function tests; urine toxicology; and testing for hepatitis B/C and HIV; all unremarkable. Psychiatry and poison control were consulted, and he was admitted.

After 72 hours, the patient's irritability, agitation, and sinus tachycardia resolved; however, his psychosis and hallucinations persisted. He was started on olanzapine and transferred to inpatient psychiatry. Additional laboratory tests revealed a serum fluoride of 0.35 mg/L (normal, 1-47 ug/L), C-telopeptide of 2,663 pg/mL (normal, 70-780 pg/mL), and hand X-rays showing diffuse bilateral periosteal reaction in the phalanges and distal ulnas (Figure 2).6

Discussion

DFE acts as a CNS depressant via glutamate and γ-aminobutyric acid receptors, causing a brief euphoria when inhaled.2 Acute toxicity can cause nausea, vomiting, abdominal pain, and altered mental status. Severe complications include loss of consciousness, mucosal frostbite, angioedema, cardiac arrhythmias, and skeletal fluorosis.2,7

Skeletal fluorosis is a rare ramification of excessive or prolonged DFE inhalation. DFE is metabolized into a fluorinated compound that accumulates and leaches calcium from bone, altering its structure. This can manifest as bony deformities with diffuse periosteal reaction and elevated serum fluoride levels. Furthermore, the elevated C-telopeptide level seen in this case may suggest increased bone turnover.

Approximately 50% of patients report withdrawal symptoms, but the timing, duration, and associated symptoms are not well understood.3 Withdrawal can include tremors, diaphoresis, nausea, vomiting, depression, anxiety, irritability, psychosis, and hallucinations. Symptoms typically start within 24 to 48 hours of cessation and last for 3 to 7 days.5 Psychotic symptoms often abate quickly; however, anxiety and insomnia can persist for weeks.5 There are no formal treatment guidelines, but poison control suggests observation and as-needed benzodiazepines. Although this patient’s irritability and agitation resolved, his psychosis and hallucinations persisted, raising concern for an underlying psychiatric diagnosis and prompting transfer to inpatient psychiatry.

Conslusion

Health care providers should recognize the symptoms of DFE toxicity, its complications, and withdrawal. Collaborating with psychiatry and poison control is beneficial in providing guidelines for supportive care.

References

1. Arroyo JP, Johnson DC, Lewis JB, et al. Treatment of acute intoxication from inhaled 1,2-difluoroethane. Ann Intern Med. 2018;169(11):820‐822. doi:10.7326/L18-0186

2. National Library of Medicine, PubChem. Hazardous Substance Data Bank (HSDB) 1,1-Difluoroethane. https:// pubchem.ncbi.nlm.nih.gov/source/hsdb/5205. Updated October 25, 2016. Accessed May 20, 2020.

3. Perron BE, Glass JE, Ahmedani BK, Vaughn MG, Roberts DE, Wu LT. The prevalence and clinical significance of inhalant withdrawal symptoms among a national sample. Subst Abuse Rehabil. 2011;2011(2):69‐76. doi:10.2147/SAR.S14937

4. Perron BE, Howard MO, Vaughn MG, Jarman CN. Inhalant withdrawal as a clinically significant feature of inhalant dependence disorder. Med Hypotheses. 2009;73(6):935‐937. doi:10.1016/j.mehy.2009.06.036

5. Addiction Center. Inhalant withdrawal and detox. https://www.addictioncenter.com/drugs/inhalants /withdrawal-detox. Accessed May 18, 2020.

6. Torra M, Rodamilans M, Corbella J. Serum and urine ionic fluoride: normal range in a nonexposed population. Biol Trace Elem Res. 1998;63(1):67‐71. doi:10.1007/BF02785278 7. Cohen E, Hsu RY, Evangelista P, Aaron R, Rubin LE. Rapid-onset diffuse skeletal fluorosis from inhalant abuse: a case report. JBJS Case Connect. 2014;4(4):e108. doi:10.2106/JBJS.CC.N.00085

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Adam Custer is a Resident Physician in the Department of Medicine, and Andrew Corse is a Resident Physician in the Department of Psychiatry, both at the University of California Los Angeles. Sondra Vazirani is an Attending Physician at the VA Greater Los Angeles Healthcare System.
Correspondence: Sondra Vazirani ([email protected])

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects— before administering pharmacologic therapy to patients.

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Adam Custer is a Resident Physician in the Department of Medicine, and Andrew Corse is a Resident Physician in the Department of Psychiatry, both at the University of California Los Angeles. Sondra Vazirani is an Attending Physician at the VA Greater Los Angeles Healthcare System.
Correspondence: Sondra Vazirani ([email protected])

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The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects— before administering pharmacologic therapy to patients.

Author and Disclosure Information

Adam Custer is a Resident Physician in the Department of Medicine, and Andrew Corse is a Resident Physician in the Department of Psychiatry, both at the University of California Los Angeles. Sondra Vazirani is an Attending Physician at the VA Greater Los Angeles Healthcare System.
Correspondence: Sondra Vazirani ([email protected])

Author disclosures
The authors report no actual or potential conflicts of interest with regard to this article.

Disclaimer
The opinions expressed herein are those of the authors and do not necessarily reflect those of Federal Practitioner, Frontline Medical Communications Inc., the US Government, or any of its agencies. This article may discuss unlabeled or investigational use of certain drugs. Please review the complete prescribing information for specific drugs or drug combinations—including indications, contraindications, warnings, and adverse effects— before administering pharmacologic therapy to patients.

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Prolonged or excessive use of the central nervous system depressant difluoroethane, which is an easily acquired and inexpensive volatile substance that can be inhaled recreationally, is associated with toxicity, and abrupt cessation can induce withdrawal.
Prolonged or excessive use of the central nervous system depressant difluoroethane, which is an easily acquired and inexpensive volatile substance that can be inhaled recreationally, is associated with toxicity, and abrupt cessation can induce withdrawal.

Difluoroethane (DFE) is an easily acquired and inexpensive volatile substance that can be inhaled recreationally. 1 It is found in common household items, including compressed air dusters, refrigerants, and propellants. DFE is a central nervous system (CNS) depressant associated with a brief sensation of euphoria when inhaled.2 Prolonged or excessive use is associated with toxicity, and abrupt cessation can induce withdrawal.3-5 We present a case of DFE abuse associated with skeletal fluorosis and withdrawal psychosis.

Case Presentation

A 39-year-old man with a 6-month history of inhaling 20 to 25 cans of DFE per day presented to the emergency department after abruptly stopping use 6 days prior. He described irritability, agitation, auditory hallucinations, and delusions of “demons trying to harm him.”

On presentation, the patient was afebrile with a mild sinus tachycardia. He was calm and cooperative but reported delusions and auditory hallucinations. He denied suicidal or homicidal ideation. His physical examination was remarkable for bony deformities of his hands (Figure 1).

The initial workup included a complete blood count; basic metabolic panel; liver function tests; urine toxicology; and testing for hepatitis B/C and HIV; all unremarkable. Psychiatry and poison control were consulted, and he was admitted.

After 72 hours, the patient's irritability, agitation, and sinus tachycardia resolved; however, his psychosis and hallucinations persisted. He was started on olanzapine and transferred to inpatient psychiatry. Additional laboratory tests revealed a serum fluoride of 0.35 mg/L (normal, 1-47 ug/L), C-telopeptide of 2,663 pg/mL (normal, 70-780 pg/mL), and hand X-rays showing diffuse bilateral periosteal reaction in the phalanges and distal ulnas (Figure 2).6

Discussion

DFE acts as a CNS depressant via glutamate and γ-aminobutyric acid receptors, causing a brief euphoria when inhaled.2 Acute toxicity can cause nausea, vomiting, abdominal pain, and altered mental status. Severe complications include loss of consciousness, mucosal frostbite, angioedema, cardiac arrhythmias, and skeletal fluorosis.2,7

Skeletal fluorosis is a rare ramification of excessive or prolonged DFE inhalation. DFE is metabolized into a fluorinated compound that accumulates and leaches calcium from bone, altering its structure. This can manifest as bony deformities with diffuse periosteal reaction and elevated serum fluoride levels. Furthermore, the elevated C-telopeptide level seen in this case may suggest increased bone turnover.

Approximately 50% of patients report withdrawal symptoms, but the timing, duration, and associated symptoms are not well understood.3 Withdrawal can include tremors, diaphoresis, nausea, vomiting, depression, anxiety, irritability, psychosis, and hallucinations. Symptoms typically start within 24 to 48 hours of cessation and last for 3 to 7 days.5 Psychotic symptoms often abate quickly; however, anxiety and insomnia can persist for weeks.5 There are no formal treatment guidelines, but poison control suggests observation and as-needed benzodiazepines. Although this patient’s irritability and agitation resolved, his psychosis and hallucinations persisted, raising concern for an underlying psychiatric diagnosis and prompting transfer to inpatient psychiatry.

Conslusion

Health care providers should recognize the symptoms of DFE toxicity, its complications, and withdrawal. Collaborating with psychiatry and poison control is beneficial in providing guidelines for supportive care.

Difluoroethane (DFE) is an easily acquired and inexpensive volatile substance that can be inhaled recreationally. 1 It is found in common household items, including compressed air dusters, refrigerants, and propellants. DFE is a central nervous system (CNS) depressant associated with a brief sensation of euphoria when inhaled.2 Prolonged or excessive use is associated with toxicity, and abrupt cessation can induce withdrawal.3-5 We present a case of DFE abuse associated with skeletal fluorosis and withdrawal psychosis.

Case Presentation

A 39-year-old man with a 6-month history of inhaling 20 to 25 cans of DFE per day presented to the emergency department after abruptly stopping use 6 days prior. He described irritability, agitation, auditory hallucinations, and delusions of “demons trying to harm him.”

On presentation, the patient was afebrile with a mild sinus tachycardia. He was calm and cooperative but reported delusions and auditory hallucinations. He denied suicidal or homicidal ideation. His physical examination was remarkable for bony deformities of his hands (Figure 1).

The initial workup included a complete blood count; basic metabolic panel; liver function tests; urine toxicology; and testing for hepatitis B/C and HIV; all unremarkable. Psychiatry and poison control were consulted, and he was admitted.

After 72 hours, the patient's irritability, agitation, and sinus tachycardia resolved; however, his psychosis and hallucinations persisted. He was started on olanzapine and transferred to inpatient psychiatry. Additional laboratory tests revealed a serum fluoride of 0.35 mg/L (normal, 1-47 ug/L), C-telopeptide of 2,663 pg/mL (normal, 70-780 pg/mL), and hand X-rays showing diffuse bilateral periosteal reaction in the phalanges and distal ulnas (Figure 2).6

Discussion

DFE acts as a CNS depressant via glutamate and γ-aminobutyric acid receptors, causing a brief euphoria when inhaled.2 Acute toxicity can cause nausea, vomiting, abdominal pain, and altered mental status. Severe complications include loss of consciousness, mucosal frostbite, angioedema, cardiac arrhythmias, and skeletal fluorosis.2,7

Skeletal fluorosis is a rare ramification of excessive or prolonged DFE inhalation. DFE is metabolized into a fluorinated compound that accumulates and leaches calcium from bone, altering its structure. This can manifest as bony deformities with diffuse periosteal reaction and elevated serum fluoride levels. Furthermore, the elevated C-telopeptide level seen in this case may suggest increased bone turnover.

Approximately 50% of patients report withdrawal symptoms, but the timing, duration, and associated symptoms are not well understood.3 Withdrawal can include tremors, diaphoresis, nausea, vomiting, depression, anxiety, irritability, psychosis, and hallucinations. Symptoms typically start within 24 to 48 hours of cessation and last for 3 to 7 days.5 Psychotic symptoms often abate quickly; however, anxiety and insomnia can persist for weeks.5 There are no formal treatment guidelines, but poison control suggests observation and as-needed benzodiazepines. Although this patient’s irritability and agitation resolved, his psychosis and hallucinations persisted, raising concern for an underlying psychiatric diagnosis and prompting transfer to inpatient psychiatry.

Conslusion

Health care providers should recognize the symptoms of DFE toxicity, its complications, and withdrawal. Collaborating with psychiatry and poison control is beneficial in providing guidelines for supportive care.

References

1. Arroyo JP, Johnson DC, Lewis JB, et al. Treatment of acute intoxication from inhaled 1,2-difluoroethane. Ann Intern Med. 2018;169(11):820‐822. doi:10.7326/L18-0186

2. National Library of Medicine, PubChem. Hazardous Substance Data Bank (HSDB) 1,1-Difluoroethane. https:// pubchem.ncbi.nlm.nih.gov/source/hsdb/5205. Updated October 25, 2016. Accessed May 20, 2020.

3. Perron BE, Glass JE, Ahmedani BK, Vaughn MG, Roberts DE, Wu LT. The prevalence and clinical significance of inhalant withdrawal symptoms among a national sample. Subst Abuse Rehabil. 2011;2011(2):69‐76. doi:10.2147/SAR.S14937

4. Perron BE, Howard MO, Vaughn MG, Jarman CN. Inhalant withdrawal as a clinically significant feature of inhalant dependence disorder. Med Hypotheses. 2009;73(6):935‐937. doi:10.1016/j.mehy.2009.06.036

5. Addiction Center. Inhalant withdrawal and detox. https://www.addictioncenter.com/drugs/inhalants /withdrawal-detox. Accessed May 18, 2020.

6. Torra M, Rodamilans M, Corbella J. Serum and urine ionic fluoride: normal range in a nonexposed population. Biol Trace Elem Res. 1998;63(1):67‐71. doi:10.1007/BF02785278 7. Cohen E, Hsu RY, Evangelista P, Aaron R, Rubin LE. Rapid-onset diffuse skeletal fluorosis from inhalant abuse: a case report. JBJS Case Connect. 2014;4(4):e108. doi:10.2106/JBJS.CC.N.00085

References

1. Arroyo JP, Johnson DC, Lewis JB, et al. Treatment of acute intoxication from inhaled 1,2-difluoroethane. Ann Intern Med. 2018;169(11):820‐822. doi:10.7326/L18-0186

2. National Library of Medicine, PubChem. Hazardous Substance Data Bank (HSDB) 1,1-Difluoroethane. https:// pubchem.ncbi.nlm.nih.gov/source/hsdb/5205. Updated October 25, 2016. Accessed May 20, 2020.

3. Perron BE, Glass JE, Ahmedani BK, Vaughn MG, Roberts DE, Wu LT. The prevalence and clinical significance of inhalant withdrawal symptoms among a national sample. Subst Abuse Rehabil. 2011;2011(2):69‐76. doi:10.2147/SAR.S14937

4. Perron BE, Howard MO, Vaughn MG, Jarman CN. Inhalant withdrawal as a clinically significant feature of inhalant dependence disorder. Med Hypotheses. 2009;73(6):935‐937. doi:10.1016/j.mehy.2009.06.036

5. Addiction Center. Inhalant withdrawal and detox. https://www.addictioncenter.com/drugs/inhalants /withdrawal-detox. Accessed May 18, 2020.

6. Torra M, Rodamilans M, Corbella J. Serum and urine ionic fluoride: normal range in a nonexposed population. Biol Trace Elem Res. 1998;63(1):67‐71. doi:10.1007/BF02785278 7. Cohen E, Hsu RY, Evangelista P, Aaron R, Rubin LE. Rapid-onset diffuse skeletal fluorosis from inhalant abuse: a case report. JBJS Case Connect. 2014;4(4):e108. doi:10.2106/JBJS.CC.N.00085

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Age leads COVID-19 hospitalization risk factors in RMDs

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Being aged older than 65 years was associated with the highest risk of people with rheumatic and musculoskeletal diseases (RMDs) needing hospital treatment for COVID-19, according to the first results to be reported from ReCoVery, the German national COVID-19 registry.

Older patients with RMDs were five times more likely than younger patients to be hospitalized if they tested positive for SARS‑CoV‑2 and developed COVID-19 (odds ratio, 5.1; 95% confidence interval, 2.3-11.4).

The likelihood of hospitalization was also significantly increased by the current or prior use of glucocorticoids (OR, 2.59; 95% CI, 1.2-5.4) and by the presence of cardiovascular disease (OR, 2.27; 95% CI, 1.2-5.4).

“The register is a joint initiative of the German Society for Rheumatology and the Justus Liebig University in Giessen,” explained Anne Regierer, MD, during a live session of the annual European Congress of Rheumatology, held online this year due to COVID-19.

“The current pandemic has changed all of our lives. For patients it brought a lot of uncertainty and fears,” said Dr. Regierer, of the German Rheumatism Research Center Berlin.

“The risk of SARS-CoV-2 infection in patients with inflammatory rheumatic diseases [IRD] is still largely unknown. We still don’t know whether they have a high risk of getting the infection or whether they have a higher risk of a severer case ... therefore there’s an urgent need to have data to generate evidence for the management of our patients.”

Launched at the end of March 2020, the German registry now includes data on 251 patients – 194 of whom have recovered – provided by more than 200 registered rheumatologists. The registry data have now been integrated into the EULAR COVID-19 Database, which is itself part of a global effort to better understand and optimally manage RMD patients during the pandemic.

Dr. Kimme Hyrich of the University of Manchester in England
Dr. Kimme Hyrich

“The data presented by Dr. Regierer looked at similar outcomes and found quite similar results, which is reassuring,” Kimme Hyrich, MD, PhD, professor of epidemiology at the University of Manchester (England) and a consultant rheumatologist in the Kellgren Centre for Rheumatology at Manchester University Hospitals NHS Foundation Trust, said in an interview.

“We are very grateful for this collaboration [with the German society and others]. Our first publication has looked at hospitalization, but with more data we may have the opportunity to look at less-common outcomes [e.g. death, other COVID complications] or within individual diseases or treatments. So far I don’t think we will come to a different conclusion,” observed Dr. Hyrich, who is on the steering committee for the EULAR COVID-19 Database.

“These initial data are reassuring in that the majority of cases of COVID reported to our database have recovered, including those who were hospitalized,” she said.

Current EULAR advice is to continue treatment with glucocorticoids in patients who are being chronically treated, but to use them at the lowest possible dose.

The objectives of this first analysis of the German registry was to provide a description of the patients who did and did not require hospitalization and those who needed ventilation, as well as look at possible risk factors for hospitalization.

Dr. Regierer reported that, of 192 patients they included – all with a positive lab test for SARS-CoV-2 – 128 (67%) did not require hospital admission. Of those that did (n = 64), 43 (22%) did not need ventilation and 21 (11%) did. Fifteen patients died, all of whom had been hospitalized, and all but one of them had needed ventilation.

Concerning the characteristics of the patients, those who needed hospital treatment with and without ventilation were older than those who were not admitted (70 vs. 65 vs. 54 years, respectively).

“Looking at the sexes, the gender distribution is also interesting. We see 69% females in the nonhospitalized patients, 65% of the inpatients without ventilation, but only 43% females in the ventilated patients. So in this group, the male patients are the majority,” Dr. Regierer observed.



Just over half of all patients in the nonhospitalized and the hospitalized without ventilation groups had IRD in remission, but those in the hospitalized with ventilation group less than one-fifth had their IRD under control.

“Of course we have to keep in mind the small sample sizes,” Dr. Regierer said, but the distribution of patients by disease type was “what you’d expect in clinical care.” The majority of patients in each of the three groups had RA (47%, 56%, and 57%), followed by psoriatic arthritis (19%, 7%, and 14%), axial spondyloarthritis (11%, 5%, and 0%), systemic lupus erythematosus (6%, 2%, and 0%), and vasculitis (1%, 5%, and 5%).

Patients who were hospitalized with and without ventilation were more likely to have more than one comorbidity than those who were not hospitalized with COVID-19.

“The most frequent comorbidity was cardiovascular disease with 58% and 76% in the inpatient groups,” Dr. Regierer reported. One-third of the nonhospitalized patients had a cardiovascular comorbidity.

“If we look at pulmonary disease, we see that 38% of the ventilator patients had an underlying pulmonary disease,” she added. This was in comparison with 19% of the hospitalized without ventilation and 13% of the nonhospitalized patients. Diabetes was another common comorbidity in hospitalized patients with (16%) and without (19%) ventilation versus just 2% of nonhospitalized patients. While these and other comorbidities such as chronic renal insufficiency were associated with higher odds ratios in the multivariate risk factor analysis, they did not reach statistical significance.

With regard to RMD treatments, more than 60% of patients in the hospitalized group had received treatment with glucocorticoids versus 37% of those who did not get admitted. No differences were seen for the other treatments.

Interestingly, “female sex, remission, and use of NSAIDs have an odds ratio smaller than 1. So there might be a lower risk of hospitalization associated with these factors,” Dr. Regierer said.

Dr. Regierer has received grant support and is part of speaker’s bureaus for a variety of pharmaceutical companies. Dr. Hyrich disclosed grant income from Bristol-Myers Squibb, UCB, and Pfizer, and receiving speaker fees from AbbVie.

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Being aged older than 65 years was associated with the highest risk of people with rheumatic and musculoskeletal diseases (RMDs) needing hospital treatment for COVID-19, according to the first results to be reported from ReCoVery, the German national COVID-19 registry.

Older patients with RMDs were five times more likely than younger patients to be hospitalized if they tested positive for SARS‑CoV‑2 and developed COVID-19 (odds ratio, 5.1; 95% confidence interval, 2.3-11.4).

The likelihood of hospitalization was also significantly increased by the current or prior use of glucocorticoids (OR, 2.59; 95% CI, 1.2-5.4) and by the presence of cardiovascular disease (OR, 2.27; 95% CI, 1.2-5.4).

“The register is a joint initiative of the German Society for Rheumatology and the Justus Liebig University in Giessen,” explained Anne Regierer, MD, during a live session of the annual European Congress of Rheumatology, held online this year due to COVID-19.

“The current pandemic has changed all of our lives. For patients it brought a lot of uncertainty and fears,” said Dr. Regierer, of the German Rheumatism Research Center Berlin.

“The risk of SARS-CoV-2 infection in patients with inflammatory rheumatic diseases [IRD] is still largely unknown. We still don’t know whether they have a high risk of getting the infection or whether they have a higher risk of a severer case ... therefore there’s an urgent need to have data to generate evidence for the management of our patients.”

Launched at the end of March 2020, the German registry now includes data on 251 patients – 194 of whom have recovered – provided by more than 200 registered rheumatologists. The registry data have now been integrated into the EULAR COVID-19 Database, which is itself part of a global effort to better understand and optimally manage RMD patients during the pandemic.

Dr. Kimme Hyrich of the University of Manchester in England
Dr. Kimme Hyrich

“The data presented by Dr. Regierer looked at similar outcomes and found quite similar results, which is reassuring,” Kimme Hyrich, MD, PhD, professor of epidemiology at the University of Manchester (England) and a consultant rheumatologist in the Kellgren Centre for Rheumatology at Manchester University Hospitals NHS Foundation Trust, said in an interview.

“We are very grateful for this collaboration [with the German society and others]. Our first publication has looked at hospitalization, but with more data we may have the opportunity to look at less-common outcomes [e.g. death, other COVID complications] or within individual diseases or treatments. So far I don’t think we will come to a different conclusion,” observed Dr. Hyrich, who is on the steering committee for the EULAR COVID-19 Database.

“These initial data are reassuring in that the majority of cases of COVID reported to our database have recovered, including those who were hospitalized,” she said.

Current EULAR advice is to continue treatment with glucocorticoids in patients who are being chronically treated, but to use them at the lowest possible dose.

The objectives of this first analysis of the German registry was to provide a description of the patients who did and did not require hospitalization and those who needed ventilation, as well as look at possible risk factors for hospitalization.

Dr. Regierer reported that, of 192 patients they included – all with a positive lab test for SARS-CoV-2 – 128 (67%) did not require hospital admission. Of those that did (n = 64), 43 (22%) did not need ventilation and 21 (11%) did. Fifteen patients died, all of whom had been hospitalized, and all but one of them had needed ventilation.

Concerning the characteristics of the patients, those who needed hospital treatment with and without ventilation were older than those who were not admitted (70 vs. 65 vs. 54 years, respectively).

“Looking at the sexes, the gender distribution is also interesting. We see 69% females in the nonhospitalized patients, 65% of the inpatients without ventilation, but only 43% females in the ventilated patients. So in this group, the male patients are the majority,” Dr. Regierer observed.



Just over half of all patients in the nonhospitalized and the hospitalized without ventilation groups had IRD in remission, but those in the hospitalized with ventilation group less than one-fifth had their IRD under control.

“Of course we have to keep in mind the small sample sizes,” Dr. Regierer said, but the distribution of patients by disease type was “what you’d expect in clinical care.” The majority of patients in each of the three groups had RA (47%, 56%, and 57%), followed by psoriatic arthritis (19%, 7%, and 14%), axial spondyloarthritis (11%, 5%, and 0%), systemic lupus erythematosus (6%, 2%, and 0%), and vasculitis (1%, 5%, and 5%).

Patients who were hospitalized with and without ventilation were more likely to have more than one comorbidity than those who were not hospitalized with COVID-19.

“The most frequent comorbidity was cardiovascular disease with 58% and 76% in the inpatient groups,” Dr. Regierer reported. One-third of the nonhospitalized patients had a cardiovascular comorbidity.

“If we look at pulmonary disease, we see that 38% of the ventilator patients had an underlying pulmonary disease,” she added. This was in comparison with 19% of the hospitalized without ventilation and 13% of the nonhospitalized patients. Diabetes was another common comorbidity in hospitalized patients with (16%) and without (19%) ventilation versus just 2% of nonhospitalized patients. While these and other comorbidities such as chronic renal insufficiency were associated with higher odds ratios in the multivariate risk factor analysis, they did not reach statistical significance.

With regard to RMD treatments, more than 60% of patients in the hospitalized group had received treatment with glucocorticoids versus 37% of those who did not get admitted. No differences were seen for the other treatments.

Interestingly, “female sex, remission, and use of NSAIDs have an odds ratio smaller than 1. So there might be a lower risk of hospitalization associated with these factors,” Dr. Regierer said.

Dr. Regierer has received grant support and is part of speaker’s bureaus for a variety of pharmaceutical companies. Dr. Hyrich disclosed grant income from Bristol-Myers Squibb, UCB, and Pfizer, and receiving speaker fees from AbbVie.

 

Being aged older than 65 years was associated with the highest risk of people with rheumatic and musculoskeletal diseases (RMDs) needing hospital treatment for COVID-19, according to the first results to be reported from ReCoVery, the German national COVID-19 registry.

Older patients with RMDs were five times more likely than younger patients to be hospitalized if they tested positive for SARS‑CoV‑2 and developed COVID-19 (odds ratio, 5.1; 95% confidence interval, 2.3-11.4).

The likelihood of hospitalization was also significantly increased by the current or prior use of glucocorticoids (OR, 2.59; 95% CI, 1.2-5.4) and by the presence of cardiovascular disease (OR, 2.27; 95% CI, 1.2-5.4).

“The register is a joint initiative of the German Society for Rheumatology and the Justus Liebig University in Giessen,” explained Anne Regierer, MD, during a live session of the annual European Congress of Rheumatology, held online this year due to COVID-19.

“The current pandemic has changed all of our lives. For patients it brought a lot of uncertainty and fears,” said Dr. Regierer, of the German Rheumatism Research Center Berlin.

“The risk of SARS-CoV-2 infection in patients with inflammatory rheumatic diseases [IRD] is still largely unknown. We still don’t know whether they have a high risk of getting the infection or whether they have a higher risk of a severer case ... therefore there’s an urgent need to have data to generate evidence for the management of our patients.”

Launched at the end of March 2020, the German registry now includes data on 251 patients – 194 of whom have recovered – provided by more than 200 registered rheumatologists. The registry data have now been integrated into the EULAR COVID-19 Database, which is itself part of a global effort to better understand and optimally manage RMD patients during the pandemic.

Dr. Kimme Hyrich of the University of Manchester in England
Dr. Kimme Hyrich

“The data presented by Dr. Regierer looked at similar outcomes and found quite similar results, which is reassuring,” Kimme Hyrich, MD, PhD, professor of epidemiology at the University of Manchester (England) and a consultant rheumatologist in the Kellgren Centre for Rheumatology at Manchester University Hospitals NHS Foundation Trust, said in an interview.

“We are very grateful for this collaboration [with the German society and others]. Our first publication has looked at hospitalization, but with more data we may have the opportunity to look at less-common outcomes [e.g. death, other COVID complications] or within individual diseases or treatments. So far I don’t think we will come to a different conclusion,” observed Dr. Hyrich, who is on the steering committee for the EULAR COVID-19 Database.

“These initial data are reassuring in that the majority of cases of COVID reported to our database have recovered, including those who were hospitalized,” she said.

Current EULAR advice is to continue treatment with glucocorticoids in patients who are being chronically treated, but to use them at the lowest possible dose.

The objectives of this first analysis of the German registry was to provide a description of the patients who did and did not require hospitalization and those who needed ventilation, as well as look at possible risk factors for hospitalization.

Dr. Regierer reported that, of 192 patients they included – all with a positive lab test for SARS-CoV-2 – 128 (67%) did not require hospital admission. Of those that did (n = 64), 43 (22%) did not need ventilation and 21 (11%) did. Fifteen patients died, all of whom had been hospitalized, and all but one of them had needed ventilation.

Concerning the characteristics of the patients, those who needed hospital treatment with and without ventilation were older than those who were not admitted (70 vs. 65 vs. 54 years, respectively).

“Looking at the sexes, the gender distribution is also interesting. We see 69% females in the nonhospitalized patients, 65% of the inpatients without ventilation, but only 43% females in the ventilated patients. So in this group, the male patients are the majority,” Dr. Regierer observed.



Just over half of all patients in the nonhospitalized and the hospitalized without ventilation groups had IRD in remission, but those in the hospitalized with ventilation group less than one-fifth had their IRD under control.

“Of course we have to keep in mind the small sample sizes,” Dr. Regierer said, but the distribution of patients by disease type was “what you’d expect in clinical care.” The majority of patients in each of the three groups had RA (47%, 56%, and 57%), followed by psoriatic arthritis (19%, 7%, and 14%), axial spondyloarthritis (11%, 5%, and 0%), systemic lupus erythematosus (6%, 2%, and 0%), and vasculitis (1%, 5%, and 5%).

Patients who were hospitalized with and without ventilation were more likely to have more than one comorbidity than those who were not hospitalized with COVID-19.

“The most frequent comorbidity was cardiovascular disease with 58% and 76% in the inpatient groups,” Dr. Regierer reported. One-third of the nonhospitalized patients had a cardiovascular comorbidity.

“If we look at pulmonary disease, we see that 38% of the ventilator patients had an underlying pulmonary disease,” she added. This was in comparison with 19% of the hospitalized without ventilation and 13% of the nonhospitalized patients. Diabetes was another common comorbidity in hospitalized patients with (16%) and without (19%) ventilation versus just 2% of nonhospitalized patients. While these and other comorbidities such as chronic renal insufficiency were associated with higher odds ratios in the multivariate risk factor analysis, they did not reach statistical significance.

With regard to RMD treatments, more than 60% of patients in the hospitalized group had received treatment with glucocorticoids versus 37% of those who did not get admitted. No differences were seen for the other treatments.

Interestingly, “female sex, remission, and use of NSAIDs have an odds ratio smaller than 1. So there might be a lower risk of hospitalization associated with these factors,” Dr. Regierer said.

Dr. Regierer has received grant support and is part of speaker’s bureaus for a variety of pharmaceutical companies. Dr. Hyrich disclosed grant income from Bristol-Myers Squibb, UCB, and Pfizer, and receiving speaker fees from AbbVie.

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COVID-19 drives nursing homes to overhaul infection control efforts

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The toll that COVID-19 has taken on nursing homes and their postacute and long-term care residents has a multilayered backstory involving underresourced organizational structures, inherent susceptibilities, minimally trained infection prevention staff, variable abilities to isolate and quarantine large numbers of patients and residents, and a lack of governmental support.

“Nursing homes have been trying their best to combat this pandemic using the best infection control procedures they have, but blindfolded and with their hands tied behind their backs,” said Joseph G. Ouslander, MD, professor of geriatric medicine at Florida Atlantic University, Boca Raton, which has teaching affiliations with three senior communities.

Nursing home leaders are debating how to best use testing to guide transmission-based precautions and isolation strategies and how to keep residents safe while allowing some socialization after months of conflicting guidance from public health officials (on testing and on sites of care for patients discharged from the hospital, for instance), with a lack of adequate personal protective equipment (PPE) and testing supplies, and with nursing home resident deaths estimated to account for at least one-quarter of the total COVID-19–related mortality in the United States.

“COVID is not going away [over the next couple of years],” said Michael Wasserman, MD, medical director of the Eisenberg Village at the Los Angeles Jewish Home and president of the California Association of Long-Term Care Medicine.

Dr. Michael Wasserman

Dr. Wasserman and other experts in both long-term care and infectious disease said in interviews that, through the rest of the pandemic and beyond, nursing homes need the following:

  • Full-time, well-trained “infection preventionists” – infection prevention managers, in essence – who can lead improvements in emergency preparedness and infection prevention and control (IPC)
  • Medical directors who are well qualified and engaged
  • A survey/inspection process that is educational and not solely punitive
  • More resources and attention to structural reform

“If this pandemic doesn’t create significant change in the nursing home industry, nothing ever will,” Dr. Wasserman said.
 

Prepandemic experience

When Ghinwa Dumyati, MD, began working with nursing homes in early March to prevent and contain COVID-19 outbreaks, her focus was on PPE.

Nursing home staff were intimately familiar with standard precautions, and many had used contact precautions to prevent transmission of infections like Clostridioides difficile and Candida auris, as well as droplet precautions for influenza. With the threat of COVID-19, nursing homes “had a brand-new requirement to do both contact and droplet precautions – with a new need for eye protection – and in some situations, respiratory precautions with N95 masks,” said Dr. Dumyati, professor of medicine and director of communicable disease surveillance and prevention at the University of Rochester (N.Y.) Medical Center. “And on top of that, [staff] had to learn to conserve and reuse PPE.”

Staff had not been fit-tested for use of N95 respirators, she noted. “The only time an N95 was used in the nursing home prior to COVID-19,” she said, “was for a suspected tuberculosis patient [before hospital admission].”

Similarly, nursing homes had experience in quarantining units to prevent transmission of illnesses like influenza or norovirus – keeping residents in their rooms with no visitations or social activity, for instance – but never did they have to arrange “massive movements of residents to completely new units or parts of a unit,” said Dr. Dumyati, who also has led hospital and nursing home collaborative programs in Rochester to beat back C. difficile, and is now helping to formulate COVID-19 recommendations and guidance for members of AMDA – The Society for Post-Acute and Long-Term Care.

As the SARS-CoV-2 virus began its spread through the United States, efforts to strengthen IPC programs in nursing homes in Rochester and elsewhere had been focused largely on multidrug resistant organisms (MDROs) and antibiotic stewardship – not on pandemic preparedness.

Reducing antibiotic use had become a national priority, and a 2016 rule by the Centers for Medicare & Medicaid Services required nursing homes to develop, over a 3-year period, an IPC program that included an antibiotic stewardship component and employment of a trained infection preventionist on at least a half-time basis. Emergency preparedness (e.g., having alternate energy sources for a facility) was also included in the rule, but it was only in 2019 when CMS updated its “Requirements for Participation” rule to stipulate that emergency preparedness include planning for “emerging infectious diseases.”

Courtesy Dr. Patricia Stone
Dr. Patricia Stone

“The 2016 regulations came about because infections were so problematic in nursing homes,” especially urinary tract infections, C. difficile, and drug-resistant infections, said Patricia Stone, PhD, RN, of the Center for Health Policy at the Columbia University School of Nursing, New York, who has published widely on infection prevention and control in nursing homes.

An analysis of IPC practices in 2014 and in 2018 suggests that the IPC-focused rules were helping, mainly with antibiotic stewardship programs but also with respect to some of the practices aimed at outbreak control, such as having policies in place for grouping infected residents together, instructing infected staff to stay home, and quarantining units on which outbreaks occur, Dr. Stone said. Policies for confining residents to rooms were reported by approximately 74% of nursing homes in 2014, and by approximately 87% in 2018, for instance. Overall, nursing homes were “getting better policies in place,” she said. The analysis compared data from two cross-sectional surveys of nursing homes conducted in 2014 and 2018 (945 and 888 facilities, respectively).

Nursing homes “have a long way to go,” however, with respect to the training of infection preventionists, Dr. Stone said. In 2014, her analysis shows, almost 65% of infection preventionists had no specific infection-control training and less than 3% were Certified in Infection Control (CIC) – a credential awarded by the Certification Board of Infection Control & Epidemiology. Of the 35% who had some form of official training, most completed state or local training courses.

The numbers improved slightly in 2018, with 7% of nursing homes reporting their infection preventionists had the highest-level certification, and 44% reporting that their infection preventionists had no specific infection-control training. Research has shown that infection-control training of any kind has a “strong effect” on IPC-related outcomes. While not demonstrated in research thus far, it seems plausible that “facilities with certified [infection preventionists] will have better processes in place,” said Dr. Stone, whose research has documented the need for more monitoring of staff compliance with hand-washing and other IPC procedures.

Infection preventionists in nursing homes typically have been directors of nursing or assistant directors of nursing who fold IPC responsibilities into a multitude of other responsibilities. Before the 2016 rules, some smaller facilities hired off-site consultants to do the job.

CMS upped the ante after several months of COVID-19, recommending in mid-May that nursing homes assign at least one individual with training in infection control “to provide on-site management of the IPC program.” The infection preventionists should be a “full-time role” in facilities that have more than 100 residents, the CMS guidance said. (Prior to the pandemic, CMS issued proposed regulations in 2019 that would modify the time an infection preventionist must devote to a facility from “part time” to “sufficient time.”)

However, neither the 2016 rule nor the most recent guidance on infection preventionists define the length or content of training.

Dr. Swati Gaur

Swati Gaur, MD, chair of the Infection Advisory Committee of AMDA and a certified medical director of two skilled nursing facilities in Gainesville, Ga., said that the pandemic “has really started to crystallize some of the limitations of having a very vague role, not just in terms of what an [infection preventionists] does [in the nursing home] but also the training,”

Fortunately, Dr. Gaur said, when SARS-CoV-2 struck, she had just transitioned her facilities’ designated infection preventionist to work full-time on the role. She had worked closely with her infection preventionist on IPC issues but wishes she had arranged for more rigorous independent training. “The role of the [infection preventionist] is huge and complicated,” now involving employee health, contract tracing, cohorting, isolation, and compliance with precautions and use of PPE, in addition to surveillance, data reporting, and communication with public health officials, she said.

“Facilities are finding out now that [the infection preventionist] cannot be an afterthought. And it won’t end with COVID. We have other respiratory illnesses like flu and other viruses that we struggle with all the time,” said Dr. Gaur, who is working alongside Dr. Dumyati and two other long-term care experts on AMDA’s COVID-19 guidance. The nursing homes that Dr. Gaur directs are part of the Northeast Georgia Health Care System and together include 271 beds.
 

 

 

Moving forward

IPC practices often collide with facilities’ role as a home, especially to those receiving long-term care. “We always have to measure what we do [to prevent and control infections] against patient autonomy and residents’ rights,” said Dr. Gaur. “We have struggled with these issues, prior to the pandemic. If patients are positive for multidrug resistant organisms [for instance], how long can they be isolated in their own rooms? You can’t for days and months put someone in a single room and create isolation. That’s where the science of infection prevention can collide with residents’ rights.”

Over the years, the Centers for Disease Control and Prevention has acknowledged this discordance, leaving it to facilities to decide, for instance, whether to actively screen for colonization with MDROs. In 2019, to help nursing homes prevent the transmission of MDROs from residents who are colonized but not actively infected, the CDC introduced new “enhanced barrier precautions” that require the use of gowns and gloves for specific resident activities identified as having a high risk of MDRO transmission. The new category of precautions is less restrictive than traditional contact precautions, which keep residents in their rooms.

Infection control in nursing homes “isn’t where it needs to be ... but we’re always going to have in nursing homes a situation where there’s a high potential for rapid transmission of infectious disease,” said Christopher Crnich, MD, PhD, an infectious disease specialist at the University of Wisconsin–Madison who chairs the long-term care special interest group of the Society of Healthcare Epidemiology of America and has offered COVID-19 advice to his state’s department of public health.

“Anytime you have a congregative community, particularly one that involves susceptible hosts, there will be an intrinsically susceptible environment ... I’m a bit disturbed by the emphasis on saying, ‘This nursing home had a COVID-19 outbreak, therefore this nursing home did something wrong,’ ” Dr. Crnich said.

“How we mitigate the size of the outbreaks is where we need to focus our attention,” he said. The goal with SARS-CoV-2, he said, is to recognize its introduction “as rapidly as possible” and stop its spread through empiric symptom- and exposure-based isolation, multiple waves of targeted testing, widespread use of contact and droplet precautions, and isolating staff as necessary.

As awareness grew this year among long-term care leaders that relying too heavily on symptom-based strategies may not be effective to prevent introduction and transmission of SARS-CoV-2, a study published in April in the New England Journal of Medicine cemented the need for a testing strategy not limited to symptomatic individuals.

The study documented that more than half of residents in a nursing home who had positive polymerase chain reaction (PCR) test results were asymptomatic at the time of testing, and that most went on to develop symptoms. The study was conducted after one case of COVID-19 had been identified.

Some states issued calls this spring for “universal testing” of all nursing home patients and staff, and the CMS recommendations issued to state and local officials in mid-May for phased nursing home “reopening” call for baseline testing of all residents and staff, followed by retesting all residents weekly until all residents test negative and by retesting all staff continuing every week.

However, the experts contacted for this story said that, without a highly accurate and accessible point-of-care test (and even with one, considering the virus’ incubation period), a universal approach that includes all nursing home residents may have more limited value than is being touted. In many scenarios, they said, it is most meaningful to focus still-limited testing supplies on the staff, many of whom work at more than one facility and are believed to be primary vectors of SARS-CoV-2.

Dr. Ouslander, Dr. Wasserman and other long-term care leaders have been discussing testing at length, trying to reach consensus on best policies. “I don’t think there’s any uniform approach or uniform agreement,” said Dr. Ouslander. “For me, under ideal circumstances what needs to be done to protect older people in nursing homes is to get access to as many accurate viral tests as possible and test staff at least once a week or every 10 days.”

In some facilities, there may be an unspoken barrier to the frequent testing of staff: Fear that staff who test positive will need to be quarantined, with no one to take their place on the front line. Dr. Ouslander said he knows of one county health department that has discouraged nursing homes from testing asymptomatic staff. “It’s insane and truly shocking,” he said.

Dr. Ghinwa Dumyati

At the University of Rochester Medical Center, Dr. Dumyati said, staffing agencies are running short of nurse aide substitutes, and staffing issues have become the “biggest challenge” facing a regional multidisciplinary group of medical directors, hospital leaders, and health department officials who are working to troubleshoot COVID-19 issues. “Some of our nursing homes have ended up sending some of their residents to other nursing homes or to the hospital [because of the loss of staff],” she said.

Currently in the state of New York, she noted, COVID-19 patients may not be discharged to nursing homes until they test negative for the virus through PCR testing. “And some people don’t clear by PCR for 4-6 weeks.”


 

 

 

The barriers

Staffing shortages – real in some locales, and anticipated in others as economic reopening grows – are reflective of underlying structural and financial factors that work against optimal IPC, experts said. It’s not uncommon for certified nurse assistants (CNAs) to be assigned to 10-15 residents. And according to AMDA, 30%-46% of CNAs are reported to receive some form of public assistance. Low wages force many CNAs to work other jobs, including shifts at other nursing homes.

Turnover of nursing home leadership also creates problems. Dr. Crnich calls it “one of the biggest barriers” to effective IPC in nursing homes. “Facilities can tolerate some turnover in their front line staff,” he said, “as long as their leadership structure remains relatively stable.” Dr. Stone and her coinvestigators have documented at least yearly turnover in top positions: They found that, in 2018, approximately one-quarter of facilities reported employing three or more infection preventionists, three or more administrators, and three or more directors of nursing during the prior 3 years.

Medical directors, moreover, are not uniformly qualified, engaged with their facilities, or supported by nursing home administrators. “It’s an open secret, I think, that a lot of facilities want a medical director who is a good referral source,” said Dr. Gaur. “A medical director needs to be completely engaged in [quality improvement and] infection control practices.”

Some nursing home chains, she noted, “have realized the value of the medical director, and have changed the way they’re paying them. They’re actually holding them accountable [for quality and outcomes].”

Medical directors such as Dr. Wasserman, who previously oversaw a 74-facility nursing home chain in California as chief medical officer and then chief executive officer and has worked on nursing home quality improvement processes for his state, said there is much that can be done clinically to prevent the spread of infections, such as more frequent use of telemedicine, more attention to “deprescribing” unnecessary medications (which reduces the number of medication passes and, thus, the number of “transmission opportunities”), and the use of continuous remote monitoring. He has been trying to secure Bluetooth-enabled pulse oximetry and temperature monitoring for the Los Angeles Jewish Home and other facilities.

Dr. Wasserman and other long-term care leaders believe that a more educational inspection process would also lead to improvements in IPC. “The punitive nature of the survey process is morally deflating to frontline staff [and] penalties take money away from operations,” Dr. Wasserman said. “It’s not a productive approach to quality improvement.”

Dr. Stone agreed. Infection control is now the primary focus of CMS’s inspection process, and she said that increased regulatory scrutiny of IPC beyond COVID-19 is a “good thing.” Her research has shown that most deficiencies identified by inspectors are infection control deficiencies, and that in 2014 and 2018, approximately one-third of nursing homes had infection control citations. (CMS recently increased penalties and fines for identified deficiencies.)

“But my hope would be that the survey process would be more educational [as it is for hospitals],” she said. “We need to be supporting nursing homes to do a better job.”

A silver lining of the COVID-19 pandemic, as Dr. Stone sees it, is that nursing homes may be more engaged with data reporting and infection surveillance going forward. Nursing homes are now required to report their COVID-19 cases to the CDC through its hospital-dominant National Healthcare Safety Network, and the CDC has made technical changes that now make it “easier [than it was in the past] for nursing homes to join and participate,” she said. “Now that all nursing homes are engaged, will they be engaged post-COVID, too? I hope so. Surveillance [of infections] is a first step toward better outcomes.”

For now, said Dr. Crnich, the intensive prevention and mitigation efforts that are being required of nursing homes to minimize COVID-19’s impact is “a big deal and will tax the resources of most nursing homes and exceed the resources of many” without outside support, Dr. Crnich said. “This has been the most illuminating part of all this, and will probably require us to reconsider how we’re resourcing our nursing homes moving forward into the future.”

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The toll that COVID-19 has taken on nursing homes and their postacute and long-term care residents has a multilayered backstory involving underresourced organizational structures, inherent susceptibilities, minimally trained infection prevention staff, variable abilities to isolate and quarantine large numbers of patients and residents, and a lack of governmental support.

“Nursing homes have been trying their best to combat this pandemic using the best infection control procedures they have, but blindfolded and with their hands tied behind their backs,” said Joseph G. Ouslander, MD, professor of geriatric medicine at Florida Atlantic University, Boca Raton, which has teaching affiliations with three senior communities.

Nursing home leaders are debating how to best use testing to guide transmission-based precautions and isolation strategies and how to keep residents safe while allowing some socialization after months of conflicting guidance from public health officials (on testing and on sites of care for patients discharged from the hospital, for instance), with a lack of adequate personal protective equipment (PPE) and testing supplies, and with nursing home resident deaths estimated to account for at least one-quarter of the total COVID-19–related mortality in the United States.

“COVID is not going away [over the next couple of years],” said Michael Wasserman, MD, medical director of the Eisenberg Village at the Los Angeles Jewish Home and president of the California Association of Long-Term Care Medicine.

Dr. Michael Wasserman

Dr. Wasserman and other experts in both long-term care and infectious disease said in interviews that, through the rest of the pandemic and beyond, nursing homes need the following:

  • Full-time, well-trained “infection preventionists” – infection prevention managers, in essence – who can lead improvements in emergency preparedness and infection prevention and control (IPC)
  • Medical directors who are well qualified and engaged
  • A survey/inspection process that is educational and not solely punitive
  • More resources and attention to structural reform

“If this pandemic doesn’t create significant change in the nursing home industry, nothing ever will,” Dr. Wasserman said.
 

Prepandemic experience

When Ghinwa Dumyati, MD, began working with nursing homes in early March to prevent and contain COVID-19 outbreaks, her focus was on PPE.

Nursing home staff were intimately familiar with standard precautions, and many had used contact precautions to prevent transmission of infections like Clostridioides difficile and Candida auris, as well as droplet precautions for influenza. With the threat of COVID-19, nursing homes “had a brand-new requirement to do both contact and droplet precautions – with a new need for eye protection – and in some situations, respiratory precautions with N95 masks,” said Dr. Dumyati, professor of medicine and director of communicable disease surveillance and prevention at the University of Rochester (N.Y.) Medical Center. “And on top of that, [staff] had to learn to conserve and reuse PPE.”

Staff had not been fit-tested for use of N95 respirators, she noted. “The only time an N95 was used in the nursing home prior to COVID-19,” she said, “was for a suspected tuberculosis patient [before hospital admission].”

Similarly, nursing homes had experience in quarantining units to prevent transmission of illnesses like influenza or norovirus – keeping residents in their rooms with no visitations or social activity, for instance – but never did they have to arrange “massive movements of residents to completely new units or parts of a unit,” said Dr. Dumyati, who also has led hospital and nursing home collaborative programs in Rochester to beat back C. difficile, and is now helping to formulate COVID-19 recommendations and guidance for members of AMDA – The Society for Post-Acute and Long-Term Care.

As the SARS-CoV-2 virus began its spread through the United States, efforts to strengthen IPC programs in nursing homes in Rochester and elsewhere had been focused largely on multidrug resistant organisms (MDROs) and antibiotic stewardship – not on pandemic preparedness.

Reducing antibiotic use had become a national priority, and a 2016 rule by the Centers for Medicare & Medicaid Services required nursing homes to develop, over a 3-year period, an IPC program that included an antibiotic stewardship component and employment of a trained infection preventionist on at least a half-time basis. Emergency preparedness (e.g., having alternate energy sources for a facility) was also included in the rule, but it was only in 2019 when CMS updated its “Requirements for Participation” rule to stipulate that emergency preparedness include planning for “emerging infectious diseases.”

Courtesy Dr. Patricia Stone
Dr. Patricia Stone

“The 2016 regulations came about because infections were so problematic in nursing homes,” especially urinary tract infections, C. difficile, and drug-resistant infections, said Patricia Stone, PhD, RN, of the Center for Health Policy at the Columbia University School of Nursing, New York, who has published widely on infection prevention and control in nursing homes.

An analysis of IPC practices in 2014 and in 2018 suggests that the IPC-focused rules were helping, mainly with antibiotic stewardship programs but also with respect to some of the practices aimed at outbreak control, such as having policies in place for grouping infected residents together, instructing infected staff to stay home, and quarantining units on which outbreaks occur, Dr. Stone said. Policies for confining residents to rooms were reported by approximately 74% of nursing homes in 2014, and by approximately 87% in 2018, for instance. Overall, nursing homes were “getting better policies in place,” she said. The analysis compared data from two cross-sectional surveys of nursing homes conducted in 2014 and 2018 (945 and 888 facilities, respectively).

Nursing homes “have a long way to go,” however, with respect to the training of infection preventionists, Dr. Stone said. In 2014, her analysis shows, almost 65% of infection preventionists had no specific infection-control training and less than 3% were Certified in Infection Control (CIC) – a credential awarded by the Certification Board of Infection Control & Epidemiology. Of the 35% who had some form of official training, most completed state or local training courses.

The numbers improved slightly in 2018, with 7% of nursing homes reporting their infection preventionists had the highest-level certification, and 44% reporting that their infection preventionists had no specific infection-control training. Research has shown that infection-control training of any kind has a “strong effect” on IPC-related outcomes. While not demonstrated in research thus far, it seems plausible that “facilities with certified [infection preventionists] will have better processes in place,” said Dr. Stone, whose research has documented the need for more monitoring of staff compliance with hand-washing and other IPC procedures.

Infection preventionists in nursing homes typically have been directors of nursing or assistant directors of nursing who fold IPC responsibilities into a multitude of other responsibilities. Before the 2016 rules, some smaller facilities hired off-site consultants to do the job.

CMS upped the ante after several months of COVID-19, recommending in mid-May that nursing homes assign at least one individual with training in infection control “to provide on-site management of the IPC program.” The infection preventionists should be a “full-time role” in facilities that have more than 100 residents, the CMS guidance said. (Prior to the pandemic, CMS issued proposed regulations in 2019 that would modify the time an infection preventionist must devote to a facility from “part time” to “sufficient time.”)

However, neither the 2016 rule nor the most recent guidance on infection preventionists define the length or content of training.

Dr. Swati Gaur

Swati Gaur, MD, chair of the Infection Advisory Committee of AMDA and a certified medical director of two skilled nursing facilities in Gainesville, Ga., said that the pandemic “has really started to crystallize some of the limitations of having a very vague role, not just in terms of what an [infection preventionists] does [in the nursing home] but also the training,”

Fortunately, Dr. Gaur said, when SARS-CoV-2 struck, she had just transitioned her facilities’ designated infection preventionist to work full-time on the role. She had worked closely with her infection preventionist on IPC issues but wishes she had arranged for more rigorous independent training. “The role of the [infection preventionist] is huge and complicated,” now involving employee health, contract tracing, cohorting, isolation, and compliance with precautions and use of PPE, in addition to surveillance, data reporting, and communication with public health officials, she said.

“Facilities are finding out now that [the infection preventionist] cannot be an afterthought. And it won’t end with COVID. We have other respiratory illnesses like flu and other viruses that we struggle with all the time,” said Dr. Gaur, who is working alongside Dr. Dumyati and two other long-term care experts on AMDA’s COVID-19 guidance. The nursing homes that Dr. Gaur directs are part of the Northeast Georgia Health Care System and together include 271 beds.
 

 

 

Moving forward

IPC practices often collide with facilities’ role as a home, especially to those receiving long-term care. “We always have to measure what we do [to prevent and control infections] against patient autonomy and residents’ rights,” said Dr. Gaur. “We have struggled with these issues, prior to the pandemic. If patients are positive for multidrug resistant organisms [for instance], how long can they be isolated in their own rooms? You can’t for days and months put someone in a single room and create isolation. That’s where the science of infection prevention can collide with residents’ rights.”

Over the years, the Centers for Disease Control and Prevention has acknowledged this discordance, leaving it to facilities to decide, for instance, whether to actively screen for colonization with MDROs. In 2019, to help nursing homes prevent the transmission of MDROs from residents who are colonized but not actively infected, the CDC introduced new “enhanced barrier precautions” that require the use of gowns and gloves for specific resident activities identified as having a high risk of MDRO transmission. The new category of precautions is less restrictive than traditional contact precautions, which keep residents in their rooms.

Infection control in nursing homes “isn’t where it needs to be ... but we’re always going to have in nursing homes a situation where there’s a high potential for rapid transmission of infectious disease,” said Christopher Crnich, MD, PhD, an infectious disease specialist at the University of Wisconsin–Madison who chairs the long-term care special interest group of the Society of Healthcare Epidemiology of America and has offered COVID-19 advice to his state’s department of public health.

“Anytime you have a congregative community, particularly one that involves susceptible hosts, there will be an intrinsically susceptible environment ... I’m a bit disturbed by the emphasis on saying, ‘This nursing home had a COVID-19 outbreak, therefore this nursing home did something wrong,’ ” Dr. Crnich said.

“How we mitigate the size of the outbreaks is where we need to focus our attention,” he said. The goal with SARS-CoV-2, he said, is to recognize its introduction “as rapidly as possible” and stop its spread through empiric symptom- and exposure-based isolation, multiple waves of targeted testing, widespread use of contact and droplet precautions, and isolating staff as necessary.

As awareness grew this year among long-term care leaders that relying too heavily on symptom-based strategies may not be effective to prevent introduction and transmission of SARS-CoV-2, a study published in April in the New England Journal of Medicine cemented the need for a testing strategy not limited to symptomatic individuals.

The study documented that more than half of residents in a nursing home who had positive polymerase chain reaction (PCR) test results were asymptomatic at the time of testing, and that most went on to develop symptoms. The study was conducted after one case of COVID-19 had been identified.

Some states issued calls this spring for “universal testing” of all nursing home patients and staff, and the CMS recommendations issued to state and local officials in mid-May for phased nursing home “reopening” call for baseline testing of all residents and staff, followed by retesting all residents weekly until all residents test negative and by retesting all staff continuing every week.

However, the experts contacted for this story said that, without a highly accurate and accessible point-of-care test (and even with one, considering the virus’ incubation period), a universal approach that includes all nursing home residents may have more limited value than is being touted. In many scenarios, they said, it is most meaningful to focus still-limited testing supplies on the staff, many of whom work at more than one facility and are believed to be primary vectors of SARS-CoV-2.

Dr. Ouslander, Dr. Wasserman and other long-term care leaders have been discussing testing at length, trying to reach consensus on best policies. “I don’t think there’s any uniform approach or uniform agreement,” said Dr. Ouslander. “For me, under ideal circumstances what needs to be done to protect older people in nursing homes is to get access to as many accurate viral tests as possible and test staff at least once a week or every 10 days.”

In some facilities, there may be an unspoken barrier to the frequent testing of staff: Fear that staff who test positive will need to be quarantined, with no one to take their place on the front line. Dr. Ouslander said he knows of one county health department that has discouraged nursing homes from testing asymptomatic staff. “It’s insane and truly shocking,” he said.

Dr. Ghinwa Dumyati

At the University of Rochester Medical Center, Dr. Dumyati said, staffing agencies are running short of nurse aide substitutes, and staffing issues have become the “biggest challenge” facing a regional multidisciplinary group of medical directors, hospital leaders, and health department officials who are working to troubleshoot COVID-19 issues. “Some of our nursing homes have ended up sending some of their residents to other nursing homes or to the hospital [because of the loss of staff],” she said.

Currently in the state of New York, she noted, COVID-19 patients may not be discharged to nursing homes until they test negative for the virus through PCR testing. “And some people don’t clear by PCR for 4-6 weeks.”


 

 

 

The barriers

Staffing shortages – real in some locales, and anticipated in others as economic reopening grows – are reflective of underlying structural and financial factors that work against optimal IPC, experts said. It’s not uncommon for certified nurse assistants (CNAs) to be assigned to 10-15 residents. And according to AMDA, 30%-46% of CNAs are reported to receive some form of public assistance. Low wages force many CNAs to work other jobs, including shifts at other nursing homes.

Turnover of nursing home leadership also creates problems. Dr. Crnich calls it “one of the biggest barriers” to effective IPC in nursing homes. “Facilities can tolerate some turnover in their front line staff,” he said, “as long as their leadership structure remains relatively stable.” Dr. Stone and her coinvestigators have documented at least yearly turnover in top positions: They found that, in 2018, approximately one-quarter of facilities reported employing three or more infection preventionists, three or more administrators, and three or more directors of nursing during the prior 3 years.

Medical directors, moreover, are not uniformly qualified, engaged with their facilities, or supported by nursing home administrators. “It’s an open secret, I think, that a lot of facilities want a medical director who is a good referral source,” said Dr. Gaur. “A medical director needs to be completely engaged in [quality improvement and] infection control practices.”

Some nursing home chains, she noted, “have realized the value of the medical director, and have changed the way they’re paying them. They’re actually holding them accountable [for quality and outcomes].”

Medical directors such as Dr. Wasserman, who previously oversaw a 74-facility nursing home chain in California as chief medical officer and then chief executive officer and has worked on nursing home quality improvement processes for his state, said there is much that can be done clinically to prevent the spread of infections, such as more frequent use of telemedicine, more attention to “deprescribing” unnecessary medications (which reduces the number of medication passes and, thus, the number of “transmission opportunities”), and the use of continuous remote monitoring. He has been trying to secure Bluetooth-enabled pulse oximetry and temperature monitoring for the Los Angeles Jewish Home and other facilities.

Dr. Wasserman and other long-term care leaders believe that a more educational inspection process would also lead to improvements in IPC. “The punitive nature of the survey process is morally deflating to frontline staff [and] penalties take money away from operations,” Dr. Wasserman said. “It’s not a productive approach to quality improvement.”

Dr. Stone agreed. Infection control is now the primary focus of CMS’s inspection process, and she said that increased regulatory scrutiny of IPC beyond COVID-19 is a “good thing.” Her research has shown that most deficiencies identified by inspectors are infection control deficiencies, and that in 2014 and 2018, approximately one-third of nursing homes had infection control citations. (CMS recently increased penalties and fines for identified deficiencies.)

“But my hope would be that the survey process would be more educational [as it is for hospitals],” she said. “We need to be supporting nursing homes to do a better job.”

A silver lining of the COVID-19 pandemic, as Dr. Stone sees it, is that nursing homes may be more engaged with data reporting and infection surveillance going forward. Nursing homes are now required to report their COVID-19 cases to the CDC through its hospital-dominant National Healthcare Safety Network, and the CDC has made technical changes that now make it “easier [than it was in the past] for nursing homes to join and participate,” she said. “Now that all nursing homes are engaged, will they be engaged post-COVID, too? I hope so. Surveillance [of infections] is a first step toward better outcomes.”

For now, said Dr. Crnich, the intensive prevention and mitigation efforts that are being required of nursing homes to minimize COVID-19’s impact is “a big deal and will tax the resources of most nursing homes and exceed the resources of many” without outside support, Dr. Crnich said. “This has been the most illuminating part of all this, and will probably require us to reconsider how we’re resourcing our nursing homes moving forward into the future.”

The toll that COVID-19 has taken on nursing homes and their postacute and long-term care residents has a multilayered backstory involving underresourced organizational structures, inherent susceptibilities, minimally trained infection prevention staff, variable abilities to isolate and quarantine large numbers of patients and residents, and a lack of governmental support.

“Nursing homes have been trying their best to combat this pandemic using the best infection control procedures they have, but blindfolded and with their hands tied behind their backs,” said Joseph G. Ouslander, MD, professor of geriatric medicine at Florida Atlantic University, Boca Raton, which has teaching affiliations with three senior communities.

Nursing home leaders are debating how to best use testing to guide transmission-based precautions and isolation strategies and how to keep residents safe while allowing some socialization after months of conflicting guidance from public health officials (on testing and on sites of care for patients discharged from the hospital, for instance), with a lack of adequate personal protective equipment (PPE) and testing supplies, and with nursing home resident deaths estimated to account for at least one-quarter of the total COVID-19–related mortality in the United States.

“COVID is not going away [over the next couple of years],” said Michael Wasserman, MD, medical director of the Eisenberg Village at the Los Angeles Jewish Home and president of the California Association of Long-Term Care Medicine.

Dr. Michael Wasserman

Dr. Wasserman and other experts in both long-term care and infectious disease said in interviews that, through the rest of the pandemic and beyond, nursing homes need the following:

  • Full-time, well-trained “infection preventionists” – infection prevention managers, in essence – who can lead improvements in emergency preparedness and infection prevention and control (IPC)
  • Medical directors who are well qualified and engaged
  • A survey/inspection process that is educational and not solely punitive
  • More resources and attention to structural reform

“If this pandemic doesn’t create significant change in the nursing home industry, nothing ever will,” Dr. Wasserman said.
 

Prepandemic experience

When Ghinwa Dumyati, MD, began working with nursing homes in early March to prevent and contain COVID-19 outbreaks, her focus was on PPE.

Nursing home staff were intimately familiar with standard precautions, and many had used contact precautions to prevent transmission of infections like Clostridioides difficile and Candida auris, as well as droplet precautions for influenza. With the threat of COVID-19, nursing homes “had a brand-new requirement to do both contact and droplet precautions – with a new need for eye protection – and in some situations, respiratory precautions with N95 masks,” said Dr. Dumyati, professor of medicine and director of communicable disease surveillance and prevention at the University of Rochester (N.Y.) Medical Center. “And on top of that, [staff] had to learn to conserve and reuse PPE.”

Staff had not been fit-tested for use of N95 respirators, she noted. “The only time an N95 was used in the nursing home prior to COVID-19,” she said, “was for a suspected tuberculosis patient [before hospital admission].”

Similarly, nursing homes had experience in quarantining units to prevent transmission of illnesses like influenza or norovirus – keeping residents in their rooms with no visitations or social activity, for instance – but never did they have to arrange “massive movements of residents to completely new units or parts of a unit,” said Dr. Dumyati, who also has led hospital and nursing home collaborative programs in Rochester to beat back C. difficile, and is now helping to formulate COVID-19 recommendations and guidance for members of AMDA – The Society for Post-Acute and Long-Term Care.

As the SARS-CoV-2 virus began its spread through the United States, efforts to strengthen IPC programs in nursing homes in Rochester and elsewhere had been focused largely on multidrug resistant organisms (MDROs) and antibiotic stewardship – not on pandemic preparedness.

Reducing antibiotic use had become a national priority, and a 2016 rule by the Centers for Medicare & Medicaid Services required nursing homes to develop, over a 3-year period, an IPC program that included an antibiotic stewardship component and employment of a trained infection preventionist on at least a half-time basis. Emergency preparedness (e.g., having alternate energy sources for a facility) was also included in the rule, but it was only in 2019 when CMS updated its “Requirements for Participation” rule to stipulate that emergency preparedness include planning for “emerging infectious diseases.”

Courtesy Dr. Patricia Stone
Dr. Patricia Stone

“The 2016 regulations came about because infections were so problematic in nursing homes,” especially urinary tract infections, C. difficile, and drug-resistant infections, said Patricia Stone, PhD, RN, of the Center for Health Policy at the Columbia University School of Nursing, New York, who has published widely on infection prevention and control in nursing homes.

An analysis of IPC practices in 2014 and in 2018 suggests that the IPC-focused rules were helping, mainly with antibiotic stewardship programs but also with respect to some of the practices aimed at outbreak control, such as having policies in place for grouping infected residents together, instructing infected staff to stay home, and quarantining units on which outbreaks occur, Dr. Stone said. Policies for confining residents to rooms were reported by approximately 74% of nursing homes in 2014, and by approximately 87% in 2018, for instance. Overall, nursing homes were “getting better policies in place,” she said. The analysis compared data from two cross-sectional surveys of nursing homes conducted in 2014 and 2018 (945 and 888 facilities, respectively).

Nursing homes “have a long way to go,” however, with respect to the training of infection preventionists, Dr. Stone said. In 2014, her analysis shows, almost 65% of infection preventionists had no specific infection-control training and less than 3% were Certified in Infection Control (CIC) – a credential awarded by the Certification Board of Infection Control & Epidemiology. Of the 35% who had some form of official training, most completed state or local training courses.

The numbers improved slightly in 2018, with 7% of nursing homes reporting their infection preventionists had the highest-level certification, and 44% reporting that their infection preventionists had no specific infection-control training. Research has shown that infection-control training of any kind has a “strong effect” on IPC-related outcomes. While not demonstrated in research thus far, it seems plausible that “facilities with certified [infection preventionists] will have better processes in place,” said Dr. Stone, whose research has documented the need for more monitoring of staff compliance with hand-washing and other IPC procedures.

Infection preventionists in nursing homes typically have been directors of nursing or assistant directors of nursing who fold IPC responsibilities into a multitude of other responsibilities. Before the 2016 rules, some smaller facilities hired off-site consultants to do the job.

CMS upped the ante after several months of COVID-19, recommending in mid-May that nursing homes assign at least one individual with training in infection control “to provide on-site management of the IPC program.” The infection preventionists should be a “full-time role” in facilities that have more than 100 residents, the CMS guidance said. (Prior to the pandemic, CMS issued proposed regulations in 2019 that would modify the time an infection preventionist must devote to a facility from “part time” to “sufficient time.”)

However, neither the 2016 rule nor the most recent guidance on infection preventionists define the length or content of training.

Dr. Swati Gaur

Swati Gaur, MD, chair of the Infection Advisory Committee of AMDA and a certified medical director of two skilled nursing facilities in Gainesville, Ga., said that the pandemic “has really started to crystallize some of the limitations of having a very vague role, not just in terms of what an [infection preventionists] does [in the nursing home] but also the training,”

Fortunately, Dr. Gaur said, when SARS-CoV-2 struck, she had just transitioned her facilities’ designated infection preventionist to work full-time on the role. She had worked closely with her infection preventionist on IPC issues but wishes she had arranged for more rigorous independent training. “The role of the [infection preventionist] is huge and complicated,” now involving employee health, contract tracing, cohorting, isolation, and compliance with precautions and use of PPE, in addition to surveillance, data reporting, and communication with public health officials, she said.

“Facilities are finding out now that [the infection preventionist] cannot be an afterthought. And it won’t end with COVID. We have other respiratory illnesses like flu and other viruses that we struggle with all the time,” said Dr. Gaur, who is working alongside Dr. Dumyati and two other long-term care experts on AMDA’s COVID-19 guidance. The nursing homes that Dr. Gaur directs are part of the Northeast Georgia Health Care System and together include 271 beds.
 

 

 

Moving forward

IPC practices often collide with facilities’ role as a home, especially to those receiving long-term care. “We always have to measure what we do [to prevent and control infections] against patient autonomy and residents’ rights,” said Dr. Gaur. “We have struggled with these issues, prior to the pandemic. If patients are positive for multidrug resistant organisms [for instance], how long can they be isolated in their own rooms? You can’t for days and months put someone in a single room and create isolation. That’s where the science of infection prevention can collide with residents’ rights.”

Over the years, the Centers for Disease Control and Prevention has acknowledged this discordance, leaving it to facilities to decide, for instance, whether to actively screen for colonization with MDROs. In 2019, to help nursing homes prevent the transmission of MDROs from residents who are colonized but not actively infected, the CDC introduced new “enhanced barrier precautions” that require the use of gowns and gloves for specific resident activities identified as having a high risk of MDRO transmission. The new category of precautions is less restrictive than traditional contact precautions, which keep residents in their rooms.

Infection control in nursing homes “isn’t where it needs to be ... but we’re always going to have in nursing homes a situation where there’s a high potential for rapid transmission of infectious disease,” said Christopher Crnich, MD, PhD, an infectious disease specialist at the University of Wisconsin–Madison who chairs the long-term care special interest group of the Society of Healthcare Epidemiology of America and has offered COVID-19 advice to his state’s department of public health.

“Anytime you have a congregative community, particularly one that involves susceptible hosts, there will be an intrinsically susceptible environment ... I’m a bit disturbed by the emphasis on saying, ‘This nursing home had a COVID-19 outbreak, therefore this nursing home did something wrong,’ ” Dr. Crnich said.

“How we mitigate the size of the outbreaks is where we need to focus our attention,” he said. The goal with SARS-CoV-2, he said, is to recognize its introduction “as rapidly as possible” and stop its spread through empiric symptom- and exposure-based isolation, multiple waves of targeted testing, widespread use of contact and droplet precautions, and isolating staff as necessary.

As awareness grew this year among long-term care leaders that relying too heavily on symptom-based strategies may not be effective to prevent introduction and transmission of SARS-CoV-2, a study published in April in the New England Journal of Medicine cemented the need for a testing strategy not limited to symptomatic individuals.

The study documented that more than half of residents in a nursing home who had positive polymerase chain reaction (PCR) test results were asymptomatic at the time of testing, and that most went on to develop symptoms. The study was conducted after one case of COVID-19 had been identified.

Some states issued calls this spring for “universal testing” of all nursing home patients and staff, and the CMS recommendations issued to state and local officials in mid-May for phased nursing home “reopening” call for baseline testing of all residents and staff, followed by retesting all residents weekly until all residents test negative and by retesting all staff continuing every week.

However, the experts contacted for this story said that, without a highly accurate and accessible point-of-care test (and even with one, considering the virus’ incubation period), a universal approach that includes all nursing home residents may have more limited value than is being touted. In many scenarios, they said, it is most meaningful to focus still-limited testing supplies on the staff, many of whom work at more than one facility and are believed to be primary vectors of SARS-CoV-2.

Dr. Ouslander, Dr. Wasserman and other long-term care leaders have been discussing testing at length, trying to reach consensus on best policies. “I don’t think there’s any uniform approach or uniform agreement,” said Dr. Ouslander. “For me, under ideal circumstances what needs to be done to protect older people in nursing homes is to get access to as many accurate viral tests as possible and test staff at least once a week or every 10 days.”

In some facilities, there may be an unspoken barrier to the frequent testing of staff: Fear that staff who test positive will need to be quarantined, with no one to take their place on the front line. Dr. Ouslander said he knows of one county health department that has discouraged nursing homes from testing asymptomatic staff. “It’s insane and truly shocking,” he said.

Dr. Ghinwa Dumyati

At the University of Rochester Medical Center, Dr. Dumyati said, staffing agencies are running short of nurse aide substitutes, and staffing issues have become the “biggest challenge” facing a regional multidisciplinary group of medical directors, hospital leaders, and health department officials who are working to troubleshoot COVID-19 issues. “Some of our nursing homes have ended up sending some of their residents to other nursing homes or to the hospital [because of the loss of staff],” she said.

Currently in the state of New York, she noted, COVID-19 patients may not be discharged to nursing homes until they test negative for the virus through PCR testing. “And some people don’t clear by PCR for 4-6 weeks.”


 

 

 

The barriers

Staffing shortages – real in some locales, and anticipated in others as economic reopening grows – are reflective of underlying structural and financial factors that work against optimal IPC, experts said. It’s not uncommon for certified nurse assistants (CNAs) to be assigned to 10-15 residents. And according to AMDA, 30%-46% of CNAs are reported to receive some form of public assistance. Low wages force many CNAs to work other jobs, including shifts at other nursing homes.

Turnover of nursing home leadership also creates problems. Dr. Crnich calls it “one of the biggest barriers” to effective IPC in nursing homes. “Facilities can tolerate some turnover in their front line staff,” he said, “as long as their leadership structure remains relatively stable.” Dr. Stone and her coinvestigators have documented at least yearly turnover in top positions: They found that, in 2018, approximately one-quarter of facilities reported employing three or more infection preventionists, three or more administrators, and three or more directors of nursing during the prior 3 years.

Medical directors, moreover, are not uniformly qualified, engaged with their facilities, or supported by nursing home administrators. “It’s an open secret, I think, that a lot of facilities want a medical director who is a good referral source,” said Dr. Gaur. “A medical director needs to be completely engaged in [quality improvement and] infection control practices.”

Some nursing home chains, she noted, “have realized the value of the medical director, and have changed the way they’re paying them. They’re actually holding them accountable [for quality and outcomes].”

Medical directors such as Dr. Wasserman, who previously oversaw a 74-facility nursing home chain in California as chief medical officer and then chief executive officer and has worked on nursing home quality improvement processes for his state, said there is much that can be done clinically to prevent the spread of infections, such as more frequent use of telemedicine, more attention to “deprescribing” unnecessary medications (which reduces the number of medication passes and, thus, the number of “transmission opportunities”), and the use of continuous remote monitoring. He has been trying to secure Bluetooth-enabled pulse oximetry and temperature monitoring for the Los Angeles Jewish Home and other facilities.

Dr. Wasserman and other long-term care leaders believe that a more educational inspection process would also lead to improvements in IPC. “The punitive nature of the survey process is morally deflating to frontline staff [and] penalties take money away from operations,” Dr. Wasserman said. “It’s not a productive approach to quality improvement.”

Dr. Stone agreed. Infection control is now the primary focus of CMS’s inspection process, and she said that increased regulatory scrutiny of IPC beyond COVID-19 is a “good thing.” Her research has shown that most deficiencies identified by inspectors are infection control deficiencies, and that in 2014 and 2018, approximately one-third of nursing homes had infection control citations. (CMS recently increased penalties and fines for identified deficiencies.)

“But my hope would be that the survey process would be more educational [as it is for hospitals],” she said. “We need to be supporting nursing homes to do a better job.”

A silver lining of the COVID-19 pandemic, as Dr. Stone sees it, is that nursing homes may be more engaged with data reporting and infection surveillance going forward. Nursing homes are now required to report their COVID-19 cases to the CDC through its hospital-dominant National Healthcare Safety Network, and the CDC has made technical changes that now make it “easier [than it was in the past] for nursing homes to join and participate,” she said. “Now that all nursing homes are engaged, will they be engaged post-COVID, too? I hope so. Surveillance [of infections] is a first step toward better outcomes.”

For now, said Dr. Crnich, the intensive prevention and mitigation efforts that are being required of nursing homes to minimize COVID-19’s impact is “a big deal and will tax the resources of most nursing homes and exceed the resources of many” without outside support, Dr. Crnich said. “This has been the most illuminating part of all this, and will probably require us to reconsider how we’re resourcing our nursing homes moving forward into the future.”

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Diffuse pustules

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Diffuse pustules

Diffuse pustules

The presence of these sterile pustules with an erythematous base led to a diagnosis of acute generalized exanthematous pustulosis (AGEP), also known as a pustular drug eruption. Although pustules are present, AGEP is an allergic response to medications and not an infection.

AGEP can be associated with fever and leukocytosis. Interestingly, antibiotics are a frequent cause—not a treatment—since the pustules are sterile. It also is worth noting, in light of the COVID-19 pandemic, that hydroxychloroquine use has been linked to AGEP, although the number of cases cited in the literature is small.

Treatment is avoidance of the offending medication and symptomatic care. AGEP typically will resolve approximately 2 weeks after discontinuing the medication causing the reaction. Systemic steroids also may be used for treatment in severe cases.

This patient had a history of repeated episodes with his chemotherapy regimen, so he was treated symptomatically with diphenhydramine for the itching. Since chemotherapy was a priority to treat his colon cancer, avoidance of the offending agent was not an option. The Family Medicine Service recommended pretreatment with diphenhydramine 25 to 50 mg orally or intravenously for future rounds of chemotherapy to blunt future responses.

Photo and text courtesy of Daniel Stulberg, MD, FAAFP, Department of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque.

References

Mercogliano C, Khan M, Lin C, et al. AGEP overlap induced by hydroxychloroquine: a case report and literature review. J Community Hosp Intern Med Perspect. 2018;8:360-362.

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Diffuse pustules

The presence of these sterile pustules with an erythematous base led to a diagnosis of acute generalized exanthematous pustulosis (AGEP), also known as a pustular drug eruption. Although pustules are present, AGEP is an allergic response to medications and not an infection.

AGEP can be associated with fever and leukocytosis. Interestingly, antibiotics are a frequent cause—not a treatment—since the pustules are sterile. It also is worth noting, in light of the COVID-19 pandemic, that hydroxychloroquine use has been linked to AGEP, although the number of cases cited in the literature is small.

Treatment is avoidance of the offending medication and symptomatic care. AGEP typically will resolve approximately 2 weeks after discontinuing the medication causing the reaction. Systemic steroids also may be used for treatment in severe cases.

This patient had a history of repeated episodes with his chemotherapy regimen, so he was treated symptomatically with diphenhydramine for the itching. Since chemotherapy was a priority to treat his colon cancer, avoidance of the offending agent was not an option. The Family Medicine Service recommended pretreatment with diphenhydramine 25 to 50 mg orally or intravenously for future rounds of chemotherapy to blunt future responses.

Photo and text courtesy of Daniel Stulberg, MD, FAAFP, Department of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque.

Diffuse pustules

The presence of these sterile pustules with an erythematous base led to a diagnosis of acute generalized exanthematous pustulosis (AGEP), also known as a pustular drug eruption. Although pustules are present, AGEP is an allergic response to medications and not an infection.

AGEP can be associated with fever and leukocytosis. Interestingly, antibiotics are a frequent cause—not a treatment—since the pustules are sterile. It also is worth noting, in light of the COVID-19 pandemic, that hydroxychloroquine use has been linked to AGEP, although the number of cases cited in the literature is small.

Treatment is avoidance of the offending medication and symptomatic care. AGEP typically will resolve approximately 2 weeks after discontinuing the medication causing the reaction. Systemic steroids also may be used for treatment in severe cases.

This patient had a history of repeated episodes with his chemotherapy regimen, so he was treated symptomatically with diphenhydramine for the itching. Since chemotherapy was a priority to treat his colon cancer, avoidance of the offending agent was not an option. The Family Medicine Service recommended pretreatment with diphenhydramine 25 to 50 mg orally or intravenously for future rounds of chemotherapy to blunt future responses.

Photo and text courtesy of Daniel Stulberg, MD, FAAFP, Department of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque.

References

Mercogliano C, Khan M, Lin C, et al. AGEP overlap induced by hydroxychloroquine: a case report and literature review. J Community Hosp Intern Med Perspect. 2018;8:360-362.

References

Mercogliano C, Khan M, Lin C, et al. AGEP overlap induced by hydroxychloroquine: a case report and literature review. J Community Hosp Intern Med Perspect. 2018;8:360-362.

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The Journal of Family Practice - 69(5)
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CMS issues interim final rule

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On Thursday, April 30, 2020, CMS released a new interim final rule. During the COVID-19 Public Health Emergency, the Interim Final Rule makes several new, important temporary changes to Medicare regulations and payments. One important change retroactively (to March 1, 2020) increased payments for telephone-only visits to established patients:

  • CPT 99441: a 5- to 10-minute telephone visit, in lieu of a face-to-face office visit, will be reimbursed at a similar rate to a 99212, about $46 (99441 is usually reimbursed at about $14).
  • CPT 99442: an 11- to 20-minute telephone visit, in lieu of a face-to-face office visit, will be reimbursed at a similar rate to a 99213, about $76 (99442 is usually reimbursed at about $28).
  • CPT 99443: a 21- to 30-minute telephone visit, in lieu of a face-to-face office visit, will be reimbursed at a similar rate to a 99212, about $110 (99443 is usually reimbursed at about $41).

These telephone codes may be used when addressing a new or old problem for established patients. Choose the code to reflect only the billing provider time communicating with the patient. There should not be another patient encounter for 7 calendar days before or after the telephone visit.

In addition, the new Interim Final Rule now allows attending physicians at teaching institutions providing supervision under the Primary Care Exception to report for telephone (using 99441-99443) or video (using 99212-99215) telemedicine encounters by residents, when the supervision is provided immediately after the resident encounter, rather than during the telephone or video visit. However, most chest physicians at teaching institutions do not supervise residents or fellows under the Primary Care Exception.

A CMS press release about the rule is available at cms.gov.

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On Thursday, April 30, 2020, CMS released a new interim final rule. During the COVID-19 Public Health Emergency, the Interim Final Rule makes several new, important temporary changes to Medicare regulations and payments. One important change retroactively (to March 1, 2020) increased payments for telephone-only visits to established patients:

  • CPT 99441: a 5- to 10-minute telephone visit, in lieu of a face-to-face office visit, will be reimbursed at a similar rate to a 99212, about $46 (99441 is usually reimbursed at about $14).
  • CPT 99442: an 11- to 20-minute telephone visit, in lieu of a face-to-face office visit, will be reimbursed at a similar rate to a 99213, about $76 (99442 is usually reimbursed at about $28).
  • CPT 99443: a 21- to 30-minute telephone visit, in lieu of a face-to-face office visit, will be reimbursed at a similar rate to a 99212, about $110 (99443 is usually reimbursed at about $41).

These telephone codes may be used when addressing a new or old problem for established patients. Choose the code to reflect only the billing provider time communicating with the patient. There should not be another patient encounter for 7 calendar days before or after the telephone visit.

In addition, the new Interim Final Rule now allows attending physicians at teaching institutions providing supervision under the Primary Care Exception to report for telephone (using 99441-99443) or video (using 99212-99215) telemedicine encounters by residents, when the supervision is provided immediately after the resident encounter, rather than during the telephone or video visit. However, most chest physicians at teaching institutions do not supervise residents or fellows under the Primary Care Exception.

A CMS press release about the rule is available at cms.gov.

On Thursday, April 30, 2020, CMS released a new interim final rule. During the COVID-19 Public Health Emergency, the Interim Final Rule makes several new, important temporary changes to Medicare regulations and payments. One important change retroactively (to March 1, 2020) increased payments for telephone-only visits to established patients:

  • CPT 99441: a 5- to 10-minute telephone visit, in lieu of a face-to-face office visit, will be reimbursed at a similar rate to a 99212, about $46 (99441 is usually reimbursed at about $14).
  • CPT 99442: an 11- to 20-minute telephone visit, in lieu of a face-to-face office visit, will be reimbursed at a similar rate to a 99213, about $76 (99442 is usually reimbursed at about $28).
  • CPT 99443: a 21- to 30-minute telephone visit, in lieu of a face-to-face office visit, will be reimbursed at a similar rate to a 99212, about $110 (99443 is usually reimbursed at about $41).

These telephone codes may be used when addressing a new or old problem for established patients. Choose the code to reflect only the billing provider time communicating with the patient. There should not be another patient encounter for 7 calendar days before or after the telephone visit.

In addition, the new Interim Final Rule now allows attending physicians at teaching institutions providing supervision under the Primary Care Exception to report for telephone (using 99441-99443) or video (using 99212-99215) telemedicine encounters by residents, when the supervision is provided immediately after the resident encounter, rather than during the telephone or video visit. However, most chest physicians at teaching institutions do not supervise residents or fellows under the Primary Care Exception.

A CMS press release about the rule is available at cms.gov.

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