Academia.eduAcademia.edu

Hepatitis A surveillance using commercial laboratory data

2018, Online Journal of Public Health Informatics

Objective To evaluate the use of commercial laboratory data for monitoring trends in HAV infections over time and identifying geographic and demographic characteristics of HAV case clusters for the purpose of targeting interventions.

ISDS 2018 Conference Abstracts Hepatitis A surveillance using commercial laboratory data Lauren Canary*1, William Thompson1, Francisco Averhoff1, Harvey Kaufman3, Christos Petropoulos2, Noele Nelson1 and Claudia Vellozzi1 1 Division of Viral Hepatitis, U.S. Centers for Disease Control and Prevention, Atlanta, GA, USA; 2Laboratory Corporation of America, Burlington, NC, USA; 3Quest Diagnostics, Madison, NJ, USA Objective To evaluate the use of commercial laboratory data for monitoring trends in HAV infections over time and identifying geographic and demographic characteristics of HAV case clusters for the purpose of targeting interventions. cluster geographically in metropolitan areas. Commercial laboratory data is a useful tool for supplementing case-based surveillance and informing prevention efforts. Characteristics of acute HAV cases Introduction Hepatitis A virus (HAV) infections have persisted in the United States despite the availability of an effective vaccine. Recent outbreaks of HAV infections among unvaccinated adults attributed to consumption of HAV-contaminated food, or person-to-person contact in certain populations (e.g., men who have sex with men) or settings (e.g., homeless shelters) have emphasized the importance of targeted vaccination of at-risk adults. Methods We used commercial laboratory data from Quest Diagnostics (Quest) and Laboratory Corporation of America (LabCorp) to identify unique individuals within each database who tested positive for HAV IgM antibody (indicative of acute HAV infection) from January 2011 through June 2017. Though de-depulication across the two laboratories was not possible, comparison of case characteristics indicated limited possible overlap of cases (<0.5%) and thus data from the two laboratories were combined. Demographic characteristics associated with the first positive test were used to classify cases by age, gender, state of residence, insurance type, and provider specialty. Persons co-infected with hepatitis B and/or hepatitis C were identified based on positive test results for hepatitis B surface antigen and hepatitis C RNA, respectively. Results A total of 6,702,256 HAV IgM test results from Quest and 7,043,555 HAV IgM test results from LabCorp were processed. Of those, 24,697 (0.4%) and 13,785 (0.2%) tests, respectively, had a ‘Reactive’, or positive result, indicating acute HAV infection. From these test results, we identified 15,415 unique individuals from Quest and 10,622 unique individuals from LabCorp with an acute HAV infection between January 2011 and June 2017. Among the 26,037 acute cases, the majority were female (14,056; 54.0%), were aged 50 or older (13,940; 53.5%), resided in large central or fringe metropolitan areas (17,842; 68.5%), and had tests ordered by family or internal medicine providers (12,358; 47.5%; Table). We identified 330 cases (1.3%) among incarcerated persons. Although data could not be de-duplicated across labs, we estimated a minimum of 630 persons (2.4%) were co-infected with hepatitis B and 852 persons (3.3%) were co-infected with hepatitis C. From 2011 to 2015, there were 7,370 cases of acute HAV reported to CDC, whereas Quest and LabCorp test results indicated 19,822 cases over the same time period. Trends in cases by month revealed seasonal increases in cases in late summer and early fall months (Figure 1). Mapping of acutely-infected individuals demonstrated a range of cases from 0 to 1,119 cases by county over the study period (Figure 2). Conclusions HAV IgM test results over a 6-year period from two commercial laboratories serving the United States suggest continuing hepatitis A transmission. Most cases occur among older adults, and appear to Figure 1. Monthly total number of persons tested positive for acute HAV infection Figure 2. Geographic distribution of persons who tested positive for acute HAV infection Keywords big data; viral hepatitis; surveillance *Lauren Canary E-mail: [email protected] ISDS Annual Conference Proceedings 2018. This is an Open Access article distributed under the terms of the Creative Commons AttributionNoncommercial 3.0 Unported License (http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Online Journal of Public Health Informatics * ISSN 1947-2579 * http://ojphi.org * 10(1):e132, 2018