Evidence map›Paper›PMID 36861093›Full record

ArticleOpen forum infectious diseases2023

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

Tiffany Wan, Adam S Lauring, Andrew L Valesano, William J Fitzsimmons, Emily E Bendall, Keith S Kaye, Joshua G Petrie

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Tiffany WanDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Adam S LauringDepartment of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA.
Andrew L ValesanoDepartment of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA.
William J FitzsimmonsDivision of Infectious Diseases, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Emily E BendallDepartment of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, USA.
Keith S KayeDivision of Allergy, Immunology and Infectious Diseases, Department of Medicine, Rutgers-Robert Wood Johnson School of Medicine, New Brunswick, New Jersey, USA.
Joshua G PetrieCenter for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin, USA.ORCID https://orcid.org/0000-0002-5696-965X

Funding

Hospital-Associated Respiratory Virus Infections: Molecular Epidemiology, Clinical Outcomes, and Cost-Effectiveness of Interventions - COVID-19 Administrative SupplementK01AI141579 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PETRIE, JOSHUA GLENN · 2019 to 2023
$634k
NIAID NIH HHS K01 AI141579
6 · The paper itself

Abstract

Background: Hospital-acquired influenza virus infection (HAII) can cause severe morbidity and mortality. Identifying potential transmission routes can inform prevention strategies. Methods: We 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. Results: During 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. Conclusions: Our results suggest that HAIIs arise from outbreak transmission from nosocomial sources as well as single infections from unique community introductions.

Indexed as

hospital-acquiredinfluenzanosocomialtransmissionwhole genome sequencing

Identifiers

PMID36861093
PMCPMC9969740

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.