Investigating Epidemiologic and Molecular Links Between Patients With Community- and Hospital-Acquired Influenza A: 2017–2018 and 2019–2020, Michigan

Author:

Wan Tiffany1,Lauring Adam S23,Valesano Andrew L2,Fitzsimmons William J3,Bendall Emily E2,Kaye Keith S4,Petrie Joshua G5ORCID

Affiliation:

1. Department of Epidemiology, University of Michigan School of Public Health , Ann Arbor, Michigan , USA

2. Department of Microbiology and Immunology, University of Michigan , Ann Arbor, Michigan , USA

3. Division of Infectious Diseases, Department of Internal Medicine, University of Michigan , Ann Arbor, Michigan , USA

4. Division of Allergy, Immunology and Infectious Diseases, Department of Medicine, Rutgers–Robert Wood Johnson School of Medicine , New Brunswick, New Jersey , USA

5. Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute , Marshfield, Wisconsin , USA

Abstract

AbstractBackgroundHospital-acquired influenza virus infection (HAII) can cause severe morbidity and mortality. Identifying potential transmission routes can inform prevention strategies.MethodsWe identified all hospitalized patients testing positive for influenza A virus at a large, tertiary care hospital during the 2017–2018 and 2019–2020 influenza seasons. Hospital admission dates, locations of inpatient service, and clinical influenza testing information were retrieved from the electronic medical record. Time-location groups of epidemiologically linked influenza patients were defined and contained ≥1 presumed HAII case (first positive ≥48 hours after admission). Genetic relatedness within time-location groups was assessed by whole genome sequencing.ResultsDuring the 2017–2018 season, 230 patients tested positive for influenza A(H3N2) or unsubtyped influenza A including 26 HAIIs. There were 159 influenza A(H1N1)pdm09 or unsubtyped influenza A–positive patients identified during the 2019–2020 season including 33 HAIIs. Consensus sequences were obtained for 177 (77%) and 57 (36%) of influenza A cases in 2017–2018 and 2019–2020, respectively. Among all influenza A cases, there were 10 time-location groups identified in 2017–2018 and 13 in 2019–2020; 19 of 23 groups included ≤4 patients. In 2017–2018, 6 of 10 groups had ≥2 patients with sequence data, including ≥1 HAII case. Two of 13 groups met this criteria in 2019–2020. Two time-location groups from 2017–2018 each contained 3 genetically linked cases.ConclusionsOur results suggest that HAIIs arise from outbreak transmission from nosocomial sources as well as single infections from unique community introductions.

Funder

National Institute of Allergy and Infectious Diseases

National Institutes of Health

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Oncology

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