<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>12</volume><submitter>Maze MJ</submitter><funding>New Zealand Ministry of Health</funding><pubmed_abstract>&lt;h4>Objectives&lt;/h4>COVID-19 severity prediction scores need further validation due to evolving COVID-19 illness. We evaluated existing COVID-19 risk prediction scores in Aotearoa New Zealand, including for Māori and Pacific peoples who have been inequitably affected by COVID-19.&lt;h4>Methods&lt;/h4>We conducted a multicenter retrospective cohort study in adults hospitalized with COVID-19 from January to May 2022, including all Māori and Pacific patients, and every second non-Māori, non-Pacific (NMNP) patient to achieve equal analytic power by ethnic grouping. We assessed the accuracy of existing severity scores (4C Mortality, CURB-65, PRIEST, and VACO) to predict death in the hospital or within 28 days.&lt;h4>Results&lt;/h4>Of 2319 patients, 582 (25.1%) identified as Māori, 914 (39.4%) as Pacific, an</pubmed_abstract><journal>IJID regions</journal><pagination>100424</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11400985</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Evaluation of risk prediction scores for adults hospitalized with COVID-19 in a highly-vaccinated population, Aotearoa New Zealand 2022.</pubmed_title><pmcid>PMC11400985</pmcid><pubmed_authors>Hancox RJ</pubmed_authors><pubmed_authors>Selak V</pubmed_authors><pubmed_authors>Ritchie S</pubmed_authors><pubmed_authors>Wright K</pubmed_authors><pubmed_authors>Bhally H</pubmed_authors><pubmed_authors>Hassan RZ</pubmed_authors><pubmed_authors>Storer M</pubmed_authors><pubmed_authors>Murdoch DR</pubmed_authors><pubmed_authors>Best E</pubmed_authors><pubmed_authors>Chang CL</pubmed_authors><pubmed_authors>Raymond N</pubmed_authors><pubmed_authors>Dummer J</pubmed_authors><pubmed_authors>Wong C</pubmed_authors><pubmed_authors>Webb R</pubmed_authors><pubmed_authors>Maze MJ</pubmed_authors><pubmed_authors>Walls T</pubmed_authors><pubmed_authors>Epton M</pubmed_authors><pubmed_authors>McArthur C</pubmed_authors><pubmed_authors>Pease FE</pubmed_authors><pubmed_authors>Goodson J</pubmed_authors><pubmed_authors>Chen K</pubmed_authors><pubmed_authors>Williman J</pubmed_authors><pubmed_authors>Morpeth S</pubmed_authors><pubmed_authors>Good WR</pubmed_authors><pubmed_authors>Pylypchuk R</pubmed_authors><pubmed_authors>Hills T</pubmed_authors><pubmed_authors>Hotu S</pubmed_authors><pubmed_authors>Grimwade K</pubmed_authors><pubmed_authors>Bryce A</pubmed_authors><pubmed_authors>Grey C</pubmed_authors><pubmed_authors>Ryan D</pubmed_authors><pubmed_authors>Anstey R</pubmed_authors></additional><is_claimable>false</is_claimable><name>Evaluation of risk prediction scores for adults hospitalized with COVID-19 in a highly-vaccinated population, Aotearoa New Zealand 2022.</name><description>&lt;h4>Objectives&lt;/h4>COVID-19 severity prediction scores need further validation due to evolving COVID-19 illness. We evaluated existing COVID-19 risk prediction scores in Aotearoa New Zealand, including for Māori and Pacific peoples who have been inequitably affected by COVID-19.&lt;h4>Methods&lt;/h4>We conducted a multicenter retrospective cohort study in adults hospitalized with COVID-19 from January to May 2022, including all Māori and Pacific patients, and every second non-Māori, non-Pacific (NMNP) patient to achieve equal analytic power by ethnic grouping. We assessed the accuracy of existing severity scores (4C Mortality, CURB-65, PRIEST, and VACO) to predict death in the hospital or within 28 days.&lt;h4>Results&lt;/h4>Of 2319 patients, 582 (25.1%) identified as Māori, 914 (39.4%) as Pacific, an</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Sep</publication><modification>2026-06-03T21:02:07.373Z</modification><creation>2025-04-21T14:56:30.916Z</creation></dates><accession>S-EPMC11400985</accession><cross_references><pubmed>39281192</pubmed><doi>10.1016/j.ijregi.2024.100424</doi></cross_references></HashMap>