<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hohl CM</submitter><funding>Public Health Agency of Canada/COVID-19 Immunity Task Force</funding><funding>Fonds de recherche du Québec – Santé</funding><funding>Ontario Ministry of Colleges and Universities</funding><funding>Saskatchewan Health Research Foundation</funding><funding>BioTalent Canada</funding><funding>Genome British Columbia</funding><funding>Fondation du CHU de Québec</funding><funding>BC Academic Health Science Network</funding><funding>Canadian Institutes of Health Research</funding><pagination>e083280</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11580276</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14(11)</volume><pubmed_abstract>&lt;h4>Objective&lt;/h4>The objective is to externally validate and assess the opportunity to update the Canadian COVID-19 Mortality Score (CCMS) to predict in-hospital mortality among consecutive non-palliative COVID-19 patients infected with Omicron subvariants at a time when vaccinations were widespread.&lt;h4>Design&lt;/h4>This observational study validated the CCMS in an external cohort at a time when Omicron variants were dominant. We assessed the potential to update the rule and improve its performance by recalibrating and adding vaccination status in a subset of patients from provinces with access to vaccination data and created the adjusted CCMS (CCMS&lt;sup>adj&lt;/sup>). We followed discharged patients for 30 days after their index emergency department visit or for their entire hospital stay if a</pubmed_abstract><journal>BMJ open</journal><pubmed_title>Accuracy of the Canadian COVID-19 Mortality Score (CCMS) to predict in-hospital mortality among vaccinated and unvaccinated patients infected with Omicron: a cohort study.</pubmed_title><pmcid>PMC11580276</pmcid><funding_grant_id>N/A</funding_grant_id><funding_grant_id>2122-HQ-000054</funding_grant_id><funding_grant_id>447679</funding_grant_id><funding_grant_id>5357</funding_grant_id><funding_grant_id>4007</funding_grant_id><funding_grant_id>C-655-2129</funding_grant_id><funding_grant_id>VAC007</funding_grant_id><funding_grant_id>COV024</funding_grant_id><pubmed_authors>Clark G</pubmed_authors><pubmed_authors>McRae A</pubmed_authors><pubmed_authors>Grant L</pubmed_authors><pubmed_authors>Dahn T</pubmed_authors><pubmed_authors>Stachura M</pubmed_authors><pubmed_authors>Chandra K</pubmed_authors><pubmed_authors>Khangura J</pubmed_authors><pubmed_authors>Daoust R</pubmed_authors><pubmed_authors>Rowe B</pubmed_authors><pubmed_authors>Mohindra R</pubmed_authors><pubmed_authors>Davis P</pubmed_authors><pubmed_authors>CCEDRRN investigators for the Network of Canadian Emergency Researchers and the Canadian Critical Care Trials Group</pubmed_authors><pubmed_authors>Wiemer H</pubmed_authors><pubmed_authors>Haward J</pubmed_authors><pubmed_authors>Taylor J</pubmed_authors><pubmed_authors>Turner J</pubmed_authors><pubmed_authors>Yeom DS</pubmed_authors><pubmed_authors>Brar B</pubmed_authors><pubmed_authors>Martin I</pubmed_authors><pubmed_authors>Archambault PM</pubmed_authors><pubmed_authors>Fok P</pubmed_authors><pubmed_authors>Welsford M</pubmed_authors><pubmed_authors>Landes M</pubmed_authors><pubmed_authors>Cheng I</pubmed_authors><pubmed_authors>Ohle R</pubmed_authors><pubmed_authors>Wormsbecker S</pubmed_authors><pubmed_authors>Ting D</pubmed_authors><pubmed_authors>Yan J</pubmed_authors><pubmed_authors>Arsenault K</pubmed_authors><pubmed_authors>Perry J</pubmed_authors><pubmed_authors>Robert S</pubmed_authors><pubmed_authors>Morrison LJ</pubmed_authors><pubmed_authors>Hohl CM</pubmed_authors><pubmed_authors>Campbell S</pubmed_authors><pubmed_authors>Mercier E</pubmed_authors><pubmed_authors>Graham L</pubmed_authors><pubmed_authors>VandenBerg S</pubmed_authors><pubmed_authors>Jelic T</pubmed_authors><pubmed_authors>Scheuermeyer F</pubmed_authors><pubmed_authors>Purssell E</pubmed_authors><pubmed_authors>Brooks SC</pubmed_authors><pubmed_authors>Rosychuk R</pubmed_authors><pubmed_authors>Lin K</pubmed_authors></additional><is_claimable>false</is_claimable><name>Accuracy of the Canadian COVID-19 Mortality Score (CCMS) to predict in-hospital mortality among vaccinated and unvaccinated patients infected with Omicron: a cohort study.</name><description>&lt;h4>Objective&lt;/h4>The objective is to externally validate and assess the opportunity to update the Canadian COVID-19 Mortality Score (CCMS) to predict in-hospital mortality among consecutive non-palliative COVID-19 patients infected with Omicron subvariants at a time when vaccinations were widespread.&lt;h4>Design&lt;/h4>This observational study validated the CCMS in an external cohort at a time when Omicron variants were dominant. We assessed the potential to update the rule and improve its performance by recalibrating and adding vaccination status in a subset of patients from provinces with access to vaccination data and created the adjusted CCMS (CCMS&lt;sup>adj&lt;/sup>). We followed discharged patients for 30 days after their index emergency department visit or for their entire hospital stay if a</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Nov</publication><modification>2025-04-04T13:41:12.9Z</modification><creation>2025-04-04T13:41:12.9Z</creation></dates><accession>S-EPMC11580276</accession><cross_references><pubmed>39566942</pubmed><doi>10.1136/bmjopen-2023-083280</doi></cross_references></HashMap>