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Hepatitis C Screening Opportunities & Challenges for U.S. Emergency Departments http://www.al.com/business/index.ssf/2014/01/which_hospital_in_your_city_ha.html Richard Rothman, MD, PhD • Professor Emergency Medicine, The Johns Hopkins University Yu-Hsiang Hsieh, PhD • Associate Professor Emergency Medicine, The Johns Hopkins University James Galbraith, MD • Associate Professor Emergency Medicine, University of Alabama at Birmingham Douglas White, MD • Associate Clinical Professor Emergency Medicine, Alameda County Medical Center-Highland, University of California San Francisco Overview I. Background and Rationale II. Who to Test? Recent data from the ED setting III. Universal Screening: Findings from the front lines IV. Real-world Challenges: Lessons from the ED V. Q and A I. Hepatitis C: Background /Rationale What it is? • Contagious infectious disease caused by an RNA virus How is it acquired/transmitted? • • • • Most commonly by direct contact with blood from an infected person Pre ~1990s: Primarily via blood transfusions or organ transplantation Currently: Primarily via sharing needles/equipment (intravenous drug users) Other routes (less common): Sexual contacts, Maternal-fetal, Sharing personal items (e.g. razor blades), Tattooing http://www.hepatitisc.uw.edu/go/evaluation-staging-monitoring/natural-history/core-concept/all http://www.mobieg.co.za/articles/stds/hepatits Hepatitis C (what happens?) Acute Hepatitis C Virus infection: • Short-term illness < 6 months of exposure • Acute leads to chronic infection for most people Time…. Chronic Hepatitis C virus infection: • Long-term illness which can last a lifetime • Potential for serious liver problems, including cirrhosis (scarring of the liver) liver cancer and death http://www.mobieg.co.za/articles/stds/hepatits http://www.hepatitisc.uw.edu/go/evaluation-staging-monitoring/natural-history/core-concept/all 20 – 30 years HCV – Disease burden Worldwide • 130–150 million chronic HCV • ~350,000 HCV related deaths/year United States • 3.5 million with chronic HCV • ~15,000+ HCV related deaths/year • Significant reduction (screening blood supply) • Emerging epidemic (IDUs) • Epidemiology not fully characterized • ~50% remain unaware of their infection http://aidafoundation.com/hepatitis-c-info https://www.cdc.gov/hepatitis/statistics/ http://www.hepatitisc.uw.edu/pdf/screening-diagnosis/epidemiology-us/core-concept/all HCV: Disease Burden in US The number of deaths due to hepatitis C is at an alltime high in the US and exceeds those attributable to 60 other infectious diseases including HIV and tuberculosis Ly KN, et al. Rising Mortality Associated With Hepatitis C Virus in the United States, 2003-2013. Clinical Infectious Diseases. 2016;62(10):1287-1288. What’s possible regarding control and treatment? • The good news • Antiviral medicines can CURE approximately 90% of persons with hepatitis C reducing risk of death from liver cancer and cirrhosis • The challenge • Typically indolent (clinically silent) • Optimal systems for screening, linkage to care and treatment remain under development • Resource constraints Who should be screened for Hepatitis C Virus? 2012 CDC Screening Recommendations AUGMENTED prior targeted screening recommendations • IVDU • Recipients of clotting factors*, solid organ transplant • Hemodialysis patients • HIV • Persons with signs/symptoms of liver disease** • Children born to HCV positive mothers *before 1987; before 1992’; **e.g. elevated AST Addition of ‘birth cohort’: • Adults born between 1945-1965 (75% of those infected with HCV fall in this cohort) Why EMERGENCY DEPARTMENTS? • Front Door Health System • Open 24/7 • Critical component of the public health infra-structure • > 140 million visits/year • ~50% US population use ED at least one visit /year • EDs have track record experience /success public health interventions* • Challenged by increasing demands *Woollard, et al AEM 2009 Nov;16(11):1138-42. http://www.acepnow.com/wp-content/ Rationale for ED HIV/HCV Screening Populations Known to Be Disparate Users of U.S. ED Services: Uninsured, Medicaid Recipients, Non-Whites, Persons Living Below U.S. Poverty Level Known to Be Disproportionately Affected with HIV / HCV Infection & Often Lack Access to Primary CareBased Preventative Screening Communities in Crisis: Is There a Generalized HIV Epidemic in Impoverished Urban Areas of the United States, CDC 2012 http://www.cdc.gov/hiv/pdf/statistics_poverty_poster.pdf Can EDs be part of the solution? Building on models of success…. ~1 decade experience in ED based integrated testing at the Johns Hopkins Emergency Department • • • Process/Models Regulatory/Ethical Impact/Outcomes Numerous examples of success and evolution towards unified and streamlined models Fig. 2 . Proportion of HIV-positive individuals virally suppressed and HIV incidence estimates (2001-2013).The grey triangles denote the proportion of HIV-positive patients with an HIV viral load <400 copies/ml in each identity-unlinked serosurvey. The black circles represent cross-sectional HIV incidence estimates determined by a validated multiassay algorithm with a window period of 101 days and a 0% false recent misclassification rate. Vertical lines indicate 95% confidence intervals. AIDS. 30(1):113-120, January 2, 2016 Similarities Between HIV and HCV • Silent, indolent • Under-recognized by providers • Stigmatized: Association with stigmatizing behavior • High morbidity and mortality if left unrecognized • Screening, diagnosis, LTC has a significant impact ED Screening for HIV: Lessons learned and evolving paradigm with HCV HIV* • Large numbers of patients can be effectively screened • Processes established for streamlining screening, LTC and treatment • Systems for reimbursement and sustainability have been achieved HCV* • Ongoing research required to better understand epidemiology • Diagnostic algorithms are distinct/ evolving and can be complex • Pilot programs and implementation science required • Policy changes and longitudinal sustained partnerships required *Tie-in with clinical mission Who to Test: Recent Data from the ED Setting II. Evaluation of CDC Recommendations for HCV Testing in an Urban Emergency Department Yu-Hsiang Hsieh, PhD Associate Professor Richard Rothman1,2, Oliver Laeyendecker3, Gabor Kelen1, Ama Avornu1, Eshan Patel3, Jim Kim1, Risha Irvin2, David Thomas2 and Thomas Quinn3 1Dept. of Emergency Medicine, 2Div. of Infectious Diseases, Dept. of Medicine, Johns Hopkins University, and 3National Institute of Allergy and Infectious Diseases, NIH This work was supported by NIH grants K01AI100681 and R37013806 and the Division of Intramural Research, NIAID, NIH Background • One-time baby boomer birth cohort screening is added in the 2012 CDC revised HCV screening recommendations. In 2013, USPSTF recommends HCV screening for adults at high risk (including birth cohort screening) at Grade B. • EDs are considered a key venue for HCV testing because of their history of success in HIV screening given the populations they serve. • High Seroprevalence of HCV infections (chronic or ever) in ED patients. • Risk-based targeted plus birth cohort screening would miss 50%. (Merchant, 2013) Objectives • To determine the overall burden of undocumented HCV infection in an urban ED • To evaluate CDC recommendations for one-time HCV testing in “baby boomers” in an urban ED Methods Setting: • An urban adult ED with 66,000 annual census; high HCV seroprevalence Study Period: • 8 weeks (24h/d), 06/2013–08/2013 Design: • Cross-sectional identity-unlinked seroprevalence study methodology • Sociodemo/HCV information from the administrative and EMR database • Waste blood samples were tested for HIV and HCV infection (HCV EIA) • “Undocumented HCV infection” was operationally defined as presence of anti-HCV Ab in the absence of evidence of HCV infection in EMR. Prevalence of Anti-HCV Ab in 4,713 ED Patients by Known Status n= 204 (31.3%) n= 4061 (86.2%) HCV Ab Positive n= 652 (13.8%) HCV Ab Negative Documented Infection n= 448 (68.7%) Undocumented Infection Prevalence of Anti-HCV Ab by Age, Sex, and Race Prevalence of Anti-HCV Ab (%) 30 25 20 15 10 5 0 Prev. of Anti-HCV Ab (%) Prevalence of Anti-HCV Ab by Selected Groups under CDC Recommendations 70 60 50 40 30 20 10 0 HIV+ HIV- Boomer+ Boomer- IDU+ IDU- Proportion of Undocumented HCV Infection by Baby Boomer Birth Cohort Undocumented Documented Undocumented HCV (%) Non-Baby Boomers Baby Boomers 100% 80% 60% 40% 20% 0% Non-B F BF Non-B M BM Non-B F BF Non-B M BM Prevalence of Undocumented HCV Infection by Age, Race and Sex Black Male Non-Black Male Undocumented HCV Infection (%) 14 Black Female Non-Black Female Baby Boomers 12 10 8 6 4 2 0 18-24 25-34 35-46 47-57 58-68 Age (years) 69-74 75-84 85 & older Distribution of 204 Undocumented HCV Infection by Baby Boomer, HIV, and IDU 0% Non-IDU, HIV (-), Baby Boomer 11% 49% 11% Non-IDU, HIV (-), Non-Baby Boomer Non-IDU, HIV (+), Baby Boomer 1% Non-IDU, HIV (+), Non-Baby Boomer 3% IDU, HIV (-), Baby Boomer IDU, HIV (-), Non-Baby Boomer IDU, HIV (+), Baby Boomer 25% IDU, HIV (+), Non-Baby Boomer Conclusions • High seroprevalence of HCV infection in our ED, indicating that urban EDs could be a valuable venue for HCV testing. • Birth cohort testing would augment identification of undocumented HCV infections two fold. • However, 25% would still remain undiagnosed, suggesting the need to consider modification of the CDC recommendations in ED settings. Universal Screening: Findings from the Front Lines III. Outcomes of HCV Testing in Urban Emergency Departments James Galbraith, MD Associate Professor of Emergency Medicine University of Alabama at Birmingham Targeted HCV Testing in US EDs Galbraith JW. Hepatitis C Virus Screening: An Important Public Health Opportunity for United States Emergency Departments. Annals of Emergency Medicine. 2016;67(1):129-130. ED “Integrated” HCV Testing Engagement Testing Counselling Referral • Nursing • Physicians • Hospital laboratory • ED providers • Linkage coordinator UAB Targeted HCV Testing (Birmingham, AL) Baby Boomer AB+ Prevalence 11.6% Uninsured 55 (16.9%) 271 Public / Medicaid 48 (16.8%) 238 Other 22 6 (13.3%) Medicare Private Galbraith JW, Franco RA, Donnelly JP, et al. Unrecognized chronic hepatitis C virus infection among baby boomers in the emergency department. Hepatology. 2014: Sep 1. doi: 10.1002/hep.27410. [Epub ahead of print] 39 (8.0%) 446 19 (5.0%) 359 0 100 200 Non-Reactive 300 400 Reactive 500 600 Highland Hospital Targeted HCV Testing (Oakland, CA) Factors associated with testing hepatitis C virus antibody positive: unadjusted and adjusted ORs. Number Tested, N [2,581] HCV Antibody Reactivity 267 (10.3%) Unadjusted OR (95% CI), N [2,580] Adjusted OR* (95% CI), N [1,995] Birth cohort Born after 1965 1,113 68 (6.1) Born 1945–1965 1,420 Born before 1945 [Reference] [Reference] 195 (13.7) 2.5 (1.8–3.3) 3.6 (2.4–5.3) 47 4 (8.5) 1.4 (0.5–4.1) 2.8 (0.8–10.3) No 1,741 112 (6.4) [Reference] [Reference] Yes 255 98 (38.4) 9.1 (6.6–12.5) 10.8 (7.4–15.5) Unknown 585 57 (9.7) 1.6 (1.1–2.2) IDU Ever White DAE, Anderson ES, Pfeil SK, Trivedi TK, Alter HJ. Results of a Rapid Hepatitis C Virus Screening and Diagnostic Testing Program in an Urban Emergency Department. Annals of Emergency Medicine. 2016;67(1):119-128. Pragmatic Targeted Screening Missed the Mark Identifying non-baby boomer targets (IDUs) is challenging • 85% of persons tested were baby boomers or older at UAB • UAB tests for IDU risk accounted for <5% of all test orders • Incidental (non-risk based) tests of persons born after 1965 revealed 10% HCV-Ab prevalence at UAB Stigma barriers • Provider - not asking IDU questions • Patient – recall bias, privacy Universal HCV Testing Eligibility • Born after 1944* • Age >13 - 18 years* • Medically stable for HCV questionnaire • Self-reports no prior HCV diagnosis • No prior test result in the EHR *Eligibility slightly differs by ED site UAB Universal Testing Data 9/3/13 to 1/19/16 Birth Cohort Testing Proportions After 1965 4.5 1945-1965 Before 1965 4.4 Daily Testing Rates 32 Universal screening implemented Sept 15, 2015 80.7 63.7 14.8 2013 2016 TARGETED UNIVERSAL Combined Site Universal Testing Outcomes UAB (Birmingham, AL) Highland (Oakland, CA) Hopkins (Baltimore, MA) 10/2015 -03/2016 10/2015 – 03/2016 12/2015 – 08/2016 Total tested 5,972 2,900 3789 Total HCV+ (prevalence%) 458 (7.7%) 166 (5.7%) 240 (6%) Baby boomer HCV+ (prevalence%) 231 (10.5%) 98 (13.7%) 136 (13.5%) Born after 1965 HCV+ (prevalence%) 227 (6.0%) 68 (3.1%) 104 (3.9%) Time period of analysis Universal ED HCV Testing – Birth Cohort by Race UAB (Birmingham, AL) Highland (Oakland, CA) Hopkins (Baltimore, MA) 10/2015 – 03/2016 10/2015 – 03/2016 12/2015 – 08/2016 White Prevalence 9.5% 13.0% *M 5% F 3% Black Prevalence 11.8% 17.3% M 26% F 10% White Prevalence 11.7% 3.2% *M 10% F 7% Black Prevalence 2.0% 3.5% M 3% F 1% Time period of analysis Baby Boomer cohort (Born 1945-1965) Younger cohort Born After 1965 *Hopkins non-black male and female results shown Implications of Universal Testing Outcomes – Heroin Epidemic & HCV Eradication 1st Wave “Baby Boomers” 2nd Wave Predominantly IDU Centers for Disease Control and Prevention (CDC). (2011). Hepatitis C virus infection among adolescents and young adults: Massachusetts, 2002-2009. MMWR. Morbidity and Mortality Weekly Report, 60(17), 537–541. Implications of Universal Testing Outcomes - Surveillance • High volume of unique visitors • Well-positioned to identify IDU • Wide geographic reach • Sizable HCV yield that allows for identification of high prevalence geographic clusters Donnelly JP, Franco RA, Wang HE, Galbraith JW. Emergency Department Screening for Hepatitis C Virus: Geographic Reach and Spatial Clustering in Central Alabama. Clinical Infectious Diseases. 2015;62(5):613-616. doi:10.1093/cid/civ984. IV. Real-World Challenges: HCV Testing Lessons Learned from the Emergency Department Doug White, MD Associate Clinical Professor of Emergency Medicine Alameda County Medical Center-Highland University of California San Francisco Challenges (and Solutions) 1. Continuum of care completion 2. Cost 3.“Best” screening model HCV Screening Continuum of Care HCV Continuum of Care: UAB and HH Figure 1. Emergency Department C Virus Figure 1. ED HCVHepatitis Continuum of CareContinuum of Care 600 532 500 435 Number of Patients 400 301 300 200 82% 158 69% 52% 61% 100 97 25% 24 79% 19 0 HCV antibody Positive Viral Load Performed Chronically Infected Follow Up Arranged Follow Up Attended Treatment Initiated Sustained Viral Response Time (days) Time from HCV positive ab test to stages of the ED HCV Continuum of Care* 400 350 300 250 200 150 100 50 0 271 145.5 103.5 Time to RNA completion Time to Time to Follow up Treatment Attendance Initiation *Diamonds represent median days from screening to cascade stage Bars represent interquartile range Challenge – Test Algorithm Completion Challenge – Test Algorithm Completion Solution - Test Algorithm Completion Screening packets EMR Prompts Precautions Solution - Test Algorithm Completion Reflex Viral Load Testing Challenges • Specimen handling requirements • 1 vs 2 tube • Cross contamination Challenge - Linkage • Predicated on completion of test algorithm • High numbers positives + limited capacity • High-no show rates • Uninsured • Homeless, phoneless • Drugs, alcohol, psychiatric illness Solution - Linkage • Linkage coordinator • Insurance enrollment • Case management • Test algorithm completion • Centralized treatment referral • Community partnerships • Primary care treatment Alameda County HCV Linkage Map Alameda Health System Other Referral network expansion Beyond specialists FQHC / primary care treaters Alameda Health Consortium Challenge – Cost •Screening •Programmatic •Treatment Challenge - Screening Costs • Prior to 2013, access to screening limited Grade B Recommendation Baby Boomers (1-time screen) Risk Challenge - Screening Costs 2014 • Cover HCV screening according to USPSTF • Emergency Departments EXCLUDED • Intended for Primary Care physicians • Annual wellness visit • Comprehensive prevention plan https://www.cms.gov/medicare-coverage-database/details/nca-decision-memo.aspx?NCAId=272 Solution – Screening Costs • Extend CMS coverage beyond primary care • Medical Center • Demonstrate clinical need for resource expansion • Laboratory costs absorbed by hospital Challenge – “Best” Screening Model • Screening model satisfies “everyone” • • • • Maximal screening Integrated Sustainable Low-impact • Screening guidelines • Not intended for ED • Impractical • Universal screening? Solution – “Best” Screening Model • Streamline processes • Smart EMR utilization • Balance public health screening goals with acute care mission • • • • Leverage existing resources Competing priorities No gold standard model Any test better than no test V. Discussion and Q&A • Please submit questions via the webinar question function or by emailing Tina Broder, [email protected] • Archives of today’s webinar slides and recording will be posted on www.nvhr.org