<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Snyder BM</submitter><funding>NCATS NIH HHS</funding><funding>NIAID NIH HHS</funding><funding>NHLBI NIH HHS</funding><funding>National Institutes of Health</funding><pagination>371-375</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8983891</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>16(3)</volume><pubmed_abstract>In this cohort study of hospitalized patients with linked medical record data, we developed International Classification of Diseases (ICD) criteria that accurately identified laboratory-confirmed, severe influenza hospitalizations (positive predictive value [PPV] 80%, 95% confidence interval [CI] 71-87%), which we validated through medical record documentation. These criteria identify patients with clinically important influenza illness outcomes to inform evaluation of preventive and therapeutic interventions and public health policy recommendations.</pubmed_abstract><journal>Influenza and other respiratory viruses</journal><pubmed_title>Validation of International Classification of Diseases criteria to identify severe influenza hospitalizations.</pubmed_title><pmcid>PMC8983891</pmcid><funding_grant_id>R01 AI136526</funding_grant_id><funding_grant_id>KL2 TR000446</funding_grant_id><funding_grant_id>T32 HL087738</funding_grant_id><funding_grant_id>KL2 TR000428</funding_grant_id><pubmed_authors>Lee RL</pubmed_authors><pubmed_authors>Braciale TJ</pubmed_authors><pubmed_authors>Ortiz JR</pubmed_authors><pubmed_authors>Snyder BM</pubmed_authors><pubmed_authors>Gebretsadik T</pubmed_authors><pubmed_authors>Hartert TV</pubmed_authors><pubmed_authors>Ding T</pubmed_authors><pubmed_authors>Wu P</pubmed_authors><pubmed_authors>Edwards KM</pubmed_authors><pubmed_authors>Somerville LA</pubmed_authors><pubmed_authors>Patterson MF</pubmed_authors></additional><is_claimable>false</is_claimable><name>Validation of International Classification of Diseases criteria to identify severe influenza hospitalizations.</name><description>In this cohort study of hospitalized patients with linked medical record data, we developed International Classification of Diseases (ICD) criteria that accurately identified laboratory-confirmed, severe influenza hospitalizations (positive predictive value [PPV] 80%, 95% confidence interval [CI] 71-87%), which we validated through medical record documentation. These criteria identify patients with clinically important influenza illness outcomes to inform evaluation of preventive and therapeutic interventions and public health policy recommendations.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 May</publication><modification>2025-04-25T23:00:58.99Z</modification><creation>2025-04-06T09:13:55.007Z</creation></dates><accession>S-EPMC8983891</accession><cross_references><pubmed>34984832</pubmed><doi>10.1111/irv.12931</doi></cross_references></HashMap>