{"id":7069,"date":"2020-05-22T16:29:36","date_gmt":"2020-05-22T23:29:36","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=7069"},"modified":"2021-03-19T16:30:21","modified_gmt":"2021-03-19T23:30:21","slug":"clinical-predictors-of-covid-19-mortality","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/05\/22\/clinical-predictors-of-covid-19-mortality\/","title":{"rendered":"Clinical Predictors of COVID-19 Mortality"},"content":{"rendered":"<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"39\" data-aria-posinset=\"2\" data-aria-level=\"1\"><i><span data-contrast=\"none\">[<\/span><\/i><i><span data-contrast=\"none\">pre-print, not peer reviewed<\/span><\/i><i><span data-contrast=\"none\">]<\/span><\/i><span data-contrast=\"auto\">\u00a0<\/span><span data-contrast=\"auto\">Machine learning techniques\u00a0<\/span><span data-contrast=\"auto\">were\u00a0<\/span><span data-contrast=\"auto\">applied to clinical data from a cohort of 5,051 COVID-19 patients in New York City to predict mortality<\/span><span data-contrast=\"auto\">\u00a0(<\/span><span data-contrast=\"auto\">training set of\u00a0n=3,841<\/span><span data-contrast=\"auto\">)<\/span><span data-contrast=\"auto\">.<\/span><span data-contrast=\"auto\">\u00a0A mortality predictor based on five clinical features (age, minimum oxygen saturation, type of encounter, hydroxychloroquine use, and maximum body temperature)\u00a0<\/span><span data-contrast=\"auto\">had good predictive performance (<\/span><span data-contrast=\"auto\">AUC<\/span><span data-contrast=\"auto\">=<\/span><span data-contrast=\"auto\">0.91<\/span><span data-contrast=\"auto\">)<\/span><span data-contrast=\"auto\">\u00a0on a test set of\u00a0retrospective\u00a0(n=961) and prospective (n=249) patients.\u00a0<\/span><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/li>\n<\/ul>\n<p><i><span data-contrast=\"none\">Yadaw\u00a0et al. (May 22, 2020). Clinical Predictors of COVID-19 Mortality.\u00a0<\/span><\/i><i><span data-contrast=\"none\">Pre-print\u00a0downloaded May 21 from<\/span><\/i><i><span data-contrast=\"auto\">\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1101\/2020.05.19.20103036\"><i><span data-contrast=\"none\">https:\/\/doi.org\/10.1101\/2020.05.19.20103036<\/span><\/i><\/a><span data-ccp-props=\"{&quot;134233279&quot;:true,&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559739&quot;:160,&quot;335559740&quot;:259}\">\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>[pre-print, not peer reviewed]\u00a0Machine learning techniques\u00a0were\u00a0applied to clinical data from a cohort of 5,051 COVID-19 patients in New York City to predict mortality\u00a0(training set of\u00a0n=3,841).\u00a0A mortality predictor based on five clinical features (age, minimum oxygen saturation, type of encounter, hydroxychloroquine use, and maximum body temperature)\u00a0had good predictive performance (AUC=0.91)\u00a0on a test set of\u00a0retrospective\u00a0(n=961) and prospective&#8230;<\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/05\/22\/clinical-predictors-of-covid-19-mortality\/\">Read more<\/a><\/div>\n","protected":false},"author":8,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[6],"tags":[],"topic":[20],"class_list":["post-7069","post","type-post","status-publish","format-standard","hentry","category-article-summary","topic-clinical-characteristics-and-health-care-setting"],"_links":{"self":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/7069","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/comments?post=7069"}],"version-history":[{"count":1,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/7069\/revisions"}],"predecessor-version":[{"id":7070,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/7069\/revisions\/7070"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media?parent=7069"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/categories?post=7069"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/tags?post=7069"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/topic?post=7069"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}