{"id":7608,"date":"2020-06-17T15:35:34","date_gmt":"2020-06-17T22:35:34","guid":{"rendered":"https:\/\/depts.washington.edu\/pandemicalliance\/?p=7608"},"modified":"2021-03-25T15:36:13","modified_gmt":"2021-03-25T22:36:13","slug":"a-predictive-tool-for-identification-of-sars-cov-2-pcr-negative-emergency-department-patients-using-routine-test-results","status":"publish","type":"post","link":"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/06\/17\/a-predictive-tool-for-identification-of-sars-cov-2-pcr-negative-emergency-department-patients-using-routine-test-results\/","title":{"rendered":"A Predictive Tool for Identification of SARS-CoV-2 PCR-Negative Emergency Department Patients Using Routine Test Results"},"content":{"rendered":"<ul>\n<li data-leveltext=\"\uf0b7\" data-font=\"Symbol\" data-listid=\"36\" data-aria-posinset=\"1\" data-aria-level=\"1\"><span data-contrast=\"auto\">Joshi et al. built a predictive tool for identifying SARS-CoV-2 PCR-negative emergency department patients based on sex and components of a complete blood count (a\u00a0<\/span><span data-contrast=\"auto\">routinely-conducted<\/span><span data-contrast=\"auto\">\u00a0test)<\/span><span data-contrast=\"auto\">. A<\/span><span data-contrast=\"auto\">cross a range of specificities, they found the average\u00a0<\/span><span data-contrast=\"auto\">negative predictive value (NPV)\u00a0<\/span><span data-contrast=\"auto\">to be 98% when validated on a northern California sample (41 positive, 495 negative). Applying the Northern California-defined threshold<\/span><span data-contrast=\"auto\">\u00a0to samples of patients from Seattle, Washington, Chicago, Illinois, and South Korea, NPV was between 92-99% and sensitivity was 85-89%. By restricting PCR testing to predicted positive patients, the tool allow<\/span><span data-contrast=\"auto\">ed<\/span><span data-contrast=\"auto\">\u00a0a 33% increase in properly allocated resources.\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\">Joshi\u00a0<\/span><\/i><i><span data-contrast=\"none\">et al. (June 2020). A Predictive Tool for Identification of SARS-CoV-2 PCR-Negative Emergency Department Patients Using Routine Test Results. Journal of Clinical Virology.\u00a0<\/span><\/i><a href=\"https:\/\/doi.org\/10.1016\/j.jcv.2020.104502\"><span data-contrast=\"none\">https:\/\/doi.org\/10.1016\/j.jcv.2020.104502<\/span><\/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>Joshi et al. built a predictive tool for identifying SARS-CoV-2 PCR-negative emergency department patients based on sex and components of a complete blood count (a\u00a0routinely-conducted\u00a0test). Across a range of specificities, they found the average\u00a0negative predictive value (NPV)\u00a0to be 98% when validated on a northern California sample (41 positive, 495 negative). Applying the Northern California-defined threshold\u00a0to&#8230;<\/p>\n<div><a class=\"more\" href=\"https:\/\/depts.washington.edu\/pandemicalliance\/2020\/06\/17\/a-predictive-tool-for-identification-of-sars-cov-2-pcr-negative-emergency-department-patients-using-routine-test-results\/\">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-7608","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\/7608","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=7608"}],"version-history":[{"count":1,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/7608\/revisions"}],"predecessor-version":[{"id":7609,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/posts\/7608\/revisions\/7609"}],"wp:attachment":[{"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/media?parent=7608"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/categories?post=7608"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/tags?post=7608"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/depts.washington.edu\/pandemicalliance\/wp-json\/wp\/v2\/topic?post=7608"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}