<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Myers LC</submitter><funding>National Heart, Lung and Blood Institute</funding><funding>Regeneron</funding><funding>CSL Behring</funding><funding>NHLBI NIH HHS</funding><funding>Janssen</funding><funding>iRhythm Technologies</funding><funding>Janssen Research and Development</funding><funding>NIGMS NIH HHS</funding><pagination>565-571</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11790280</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>19(7)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>New-onset atrial fibrillation (AF) during sepsis is common, but models designed to stratify stroke risk excluded patients with secondary AF. We assessed the predictive validity of CHA&lt;sub>2&lt;/sub>DS&lt;sub>2&lt;/sub>VASc scores among patients with new-onset AF during sepsis and developed a novel stroke prediction model incorporating presepsis and intrasepsis characteristics.&lt;h4>Methods&lt;/h4>We included patients ≥40 years old who survived hospitalizations with sepsis and new-onset AF across 21 Kaiser Permanente Northern California hospitals from January 1, 2011 to September 30, 2017. We calculated the area under the receiver operating curve (AUC) for CHA&lt;sub>2&lt;/sub>DS&lt;sub>2&lt;/sub>VASc scores to predict stroke or transient ischemic attack (TIA) within 1 year after a hospitalization</pubmed_abstract><journal>Journal of hospital medicine</journal><pubmed_title>Predicting stroke risk after sepsis hospitalization with new-onset atrial fibrillation.</pubmed_title><pmcid>PMC11790280</pmcid><funding_grant_id>K23 GM129661</funding_grant_id><funding_grant_id>R01 HL139751</funding_grant_id><funding_grant_id>5R01HL139751 02</funding_grant_id><pubmed_authors>Peltan ID</pubmed_authors><pubmed_authors>Desai M</pubmed_authors><pubmed_authors>Clancy H</pubmed_authors><pubmed_authors>Liu VX</pubmed_authors><pubmed_authors>Devis Y</pubmed_authors><pubmed_authors>Thai KK</pubmed_authors><pubmed_authors>Lu YW</pubmed_authors><pubmed_authors>Go AS</pubmed_authors><pubmed_authors>Kipnis P</pubmed_authors><pubmed_authors>Neugebauer RS</pubmed_authors><pubmed_authors>Brown SM</pubmed_authors><pubmed_authors>Myers LC</pubmed_authors><pubmed_authors>Walkey AJ</pubmed_authors></additional><is_claimable>false</is_claimable><name>Predicting stroke risk after sepsis hospitalization with new-onset atrial fibrillation.</name><description>&lt;h4>Background&lt;/h4>New-onset atrial fibrillation (AF) during sepsis is common, but models designed to stratify stroke risk excluded patients with secondary AF. We assessed the predictive validity of CHA&lt;sub>2&lt;/sub>DS&lt;sub>2&lt;/sub>VASc scores among patients with new-onset AF during sepsis and developed a novel stroke prediction model incorporating presepsis and intrasepsis characteristics.&lt;h4>Methods&lt;/h4>We included patients ≥40 years old who survived hospitalizations with sepsis and new-onset AF across 21 Kaiser Permanente Northern California hospitals from January 1, 2011 to September 30, 2017. We calculated the area under the receiver operating curve (AUC) for CHA&lt;sub>2&lt;/sub>DS&lt;sub>2&lt;/sub>VASc scores to predict stroke or transient ischemic attack (TIA) within 1 year after a hospitalization</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Jul</publication><modification>2025-04-19T16:23:26.64Z</modification><creation>2025-04-19T16:23:26.64Z</creation></dates><accession>S-EPMC11790280</accession><cross_references><pubmed>38594918</pubmed><doi>10.1002/jhm.13343</doi></cross_references></HashMap>