{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T04:54:26Z","timestamp":1780376066068,"version":"3.54.1"},"reference-count":27,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100000038","name":"U.S. Food and Drug Administration","doi-asserted-by":"publisher","award":["HHSF223201400030I"],"award-info":[{"award-number":["HHSF223201400030I"]}],"id":[{"id":"10.13039\/100000038","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Influenza Resp Viruses"],"published-print":{"date-parts":[[2022,3]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>We assessed the ability to identify key data relevant to influenza and other respiratory virus surveillance in a large\u2010scale US\u2010based hospital electronic medical record (EMR) dataset using seasonal influenza as a use case. We describe characteristics and outcomes of hospitalized influenza cases across three seasons.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We identified patients with an influenza diagnosis between March 2017 and March 2020 in 140 US hospitals as part of the US FDA's Sentinel System. We calculated descriptive statistics on the presence of high\u2010risk conditions, influenza antiviral administrations, and severity endpoints.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Among 5.1 million hospitalizations, we identified 29,520 hospitalizations with an influenza diagnosis; 64% were treated with an influenza antiviral within 2\u00a0days of admission, and 25% were treated &gt;2\u00a0days after admission. Patients treated &gt;2\u00a0days after admission had more comorbidities than patients treated within 2\u00a0days of admission. Patients never treated during hospitalization had more documentation of cardiovascular and other diseases than treated patients. We observed more severe endpoints in patients never treated (death\u2009=\u20093%, mechanical ventilation [MV]\u2009=\u20099%, intensive care unit [ICU]\u2009=\u200926%) or patients treated &gt;2\u00a0days after admission (death\u2009=\u20092%, MV\u2009=\u200914%, ICU\u2009=\u200932%) than in patients treated earlier (treated on admission: death\u2009=\u20091%, MV\u2009=\u20095%, ICU\u2009=\u200923%, treated within 2\u00a0days of admission: death\u2009=\u20091%, MV\u2009=\u20097%, ICU\u2009=\u200927%).<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>We identified important trends in influenza severity related to treatment timing in a large inpatient dataset, laying the groundwork for the use of this and other inpatient EMR data for influenza and other respiratory virus surveillance.<\/jats:p><\/jats:sec>","DOI":"10.1111\/irv.12921","type":"journal-article","created":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T05:11:49Z","timestamp":1635225109000},"page":"265-275","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Using inpatient electronic medical records to study influenza for pandemic preparedness"],"prefix":"10.1111","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8902-1435","authenticated-orcid":false,"given":"Candace C.","family":"Fuller","sequence":"first","affiliation":[{"name":"Department of Population Medicine Harvard Medical School and Harvard Pilgrim Health Care Institute  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Austin","family":"Cosgrove","sequence":"additional","affiliation":[{"name":"Department of Population Medicine Harvard Medical School and Harvard Pilgrim Health Care Institute  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kenneth","family":"Sands","sequence":"additional","affiliation":[{"name":"Department of Population Medicine Harvard Medical School and Harvard Pilgrim Health Care Institute  Boston Massachusetts USA"},{"name":"HCA Healthcare  Nashville Tennessee USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karla M.","family":"Miller","sequence":"additional","affiliation":[{"name":"HCA Healthcare  Nashville Tennessee USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Russell E.","family":"Poland","sequence":"additional","affiliation":[{"name":"Department of Population Medicine Harvard Medical School and Harvard Pilgrim Health Care Institute  Boston Massachusetts USA"},{"name":"HCA Healthcare  Nashville Tennessee USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edward","family":"Rosen","sequence":"additional","affiliation":[{"name":"Department of Population Medicine Harvard Medical School and Harvard Pilgrim Health Care Institute  Boston Massachusetts USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alfred","family":"Sorbello","sequence":"additional","affiliation":[{"name":"United States Food and Drug Administration  Silver Spring Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Henry","family":"Francis","sequence":"additional","affiliation":[{"name":"United States Food and Drug Administration  Silver Spring Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Orr","sequence":"additional","affiliation":[{"name":"United States Food and Drug Administration  Silver Spring Maryland USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sarah K.","family":"Dutcher","sequence":"additional","affiliation":[{"name":"United States Food and Drug Administration  Silver Spring Maryland 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