{"id":6865,"date":"2020-05-15T17:33:28","date_gmt":"2020-05-16T00:33:28","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=6865"},"modified":"2021-03-17T17:34:24","modified_gmt":"2021-03-18T00:34:24","slug":"combination-of-four-clinical-indicators-predicts-the-severe-critical-symptom-of-patients-infected-covid-19","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/05\/15\/combination-of-four-clinical-indicators-predicts-the-severe-critical-symptom-of-patients-infected-covid-19\/","title":{"rendered":"Combination of Four Clinical Indicators Predicts the Severe\/Critical Symptom of Patients Infected COVID-19"},"content":{"rendered":"<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"36\" data-aria-posinset=\"2\" data-aria-level=\"1\"><span data-contrast=\"auto\">Using data on all 336 cases of COVID-19 in Shanghai<\/span><span data-contrast=\"auto\">, China<\/span><span data-contrast=\"auto\">\u00a0through March 12, as well as 220 clinical and laboratory records,\u00a0<\/span><span data-contrast=\"auto\">Sun et al.<\/span><span data-contrast=\"auto\">\u00a0built a risk prediction model for discriminating\u00a0severe\/critical illness. Thirty-six clinical indicators were found to be significantly associated with severe\/critical symptoms. The AUC for the final model (Support Vector Machine) for discriminating\u00a0severe\/critical cases from mild cases was 0.<\/span><span data-contrast=\"auto\">98\u00a0<\/span><span data-contrast=\"auto\">in the test set.\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\">Sun et al. (May\u00a0<\/span><\/i><i><span data-contrast=\"none\">13,\u00a0<\/span><\/i><i><span data-contrast=\"none\">2020). Combination of Four Clinical Indicators Predicts the Severe\/Critical Symptom of Patients Infected COVID-19. Journal of Clinical Virolog<\/span><\/i><i><span data-contrast=\"none\">y<\/span><\/i><i><span data-contrast=\"none\">.<\/span><\/i><i><span data-contrast=\"auto\">\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1016\/j.jcv.2020.104431\"><i><span data-contrast=\"none\">https:\/\/doi.org\/10.1016\/j.jcv.2020.104431<\/span><\/i><\/a><span data-ccp-props=\"{&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>Using data on all 336 cases of COVID-19 in Shanghai, China\u00a0through March 12, as well as 220 clinical and laboratory records,\u00a0Sun et al.\u00a0built a risk prediction model for discriminating\u00a0severe\/critical illness. Thirty-six clinical indicators were found to be significantly associated with severe\/critical symptoms. The AUC for the final model (Support Vector Machine) for discriminating\u00a0severe\/critical cases from&#8230;<\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/05\/15\/combination-of-four-clinical-indicators-predicts-the-severe-critical-symptom-of-patients-infected-covid-19\/\">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-6865","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\/6865","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=6865"}],"version-history":[{"count":1,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/6865\/revisions"}],"predecessor-version":[{"id":6866,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/6865\/revisions\/6866"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media?parent=6865"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/categories?post=6865"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/tags?post=6865"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/topic?post=6865"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}