{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T19:15:45Z","timestamp":1782846945440,"version":"3.54.5"},"reference-count":21,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"Mayo Clinic Department of Medicine, Division General Internal Medicine"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Prim Care Community Health"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:sec>\n                    <jats:title>Objective:<\/jats:title>\n                    <jats:p>To evaluate the performance of an Electronic Health Record (EHR) integrated risk score for COVID-19 positive outpatients to predict 30-day risk of hospitalization.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Patients and Methods:<\/jats:title>\n                    <jats:p>A retrospective observational study of 67\u2009470 patients with COVID-19 confirmed by polymerase chain reaction\u2009(PCR)\u2009test between March 12, 2020 and February 8, 2021. Risk scores were calculated based on data in the chart at the time of the incident infection.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>The Mayo Clinic COVID-19 risk score consisted of 13 components included age, sex, chronic lung disease, congenital heart disease, congestive heart failure, coronary artery disease, diabetes mellitus, end stage liver disease, end stage renal disease, hypertension, immune compromised, nursing home resident, and pregnant. Univariate analysis showed all components, except pregnancy, have significant ( P\u2009&lt;\u2009.001) association with admission. The Mayo Clinic COVID-19 risk score showed a Receiver Operating Characteristic Area Under Curve (AUC) of 0.837 for the prediction of admission for this large cohort of COVID-19 positive patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>The Mayo Clinic COVID-19 risk score is a simple score that is easily integrated into the EHR with excellent predictive performance for severe COVID-19. It can be leveraged to stratify risk for severe COVID-19 at initial contact, when considering therapeutics or in the allocation of vaccine supply.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/21501319211069748","type":"journal-article","created":{"date-parts":[[2022,1,22]],"date-time":"2022-01-22T05:58:05Z","timestamp":1642831085000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Utilization of an Electronic Health Record Integrated Risk Score to Predict Hospitalization Among COVID-19 Patients"],"prefix":"10.1177","volume":"13","author":[{"given":"Mark A.","family":"Nyman","sequence":"first","affiliation":[{"name":"Mayo Clinic, Rochester, MN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thulasee","family":"Jose","sequence":"additional","affiliation":[{"name":"Mayo Clinic, Rochester, MN, USA"},{"name":"Baptist Hospitals of Southeast Texas, Beaumont, TX, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3464-3525","authenticated-orcid":false,"given":"Ivana T.","family":"Croghan","sequence":"additional","affiliation":[{"name":"Mayo Clinic, Rochester, MN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark A.","family":"Parkulo","sequence":"additional","affiliation":[{"name":"Mayo Clinic, Jacksonville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charles D.","family":"Burger","sequence":"additional","affiliation":[{"name":"Mayo Clinic, Jacksonville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Darrell R.","family":"Schroeder","sequence":"additional","affiliation":[{"name":"Mayo Clinic, Rochester, MN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ryan T.","family":"Hurt","sequence":"additional","affiliation":[{"name":"Mayo Clinic, Rochester, MN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John C.","family":"O\u2019Horo","sequence":"additional","affiliation":[{"name":"Mayo Clinic, Rochester, MN, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2022,1,22]]},"reference":[{"key":"bibr1-21501319211069748","doi-asserted-by":"publisher","DOI":"10.15585\/mmwr.mm7014e1"},{"key":"bibr2-21501319211069748","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.2648"},{"key":"bibr3-21501319211069748","volume-title":"Algorithm for COVID-19 Triage and Referral: Patient Triage and Referral for Resource-Limited Settings During Community Transmission","author":"World Health Organization","year":"2020"},{"key":"bibr4-21501319211069748","doi-asserted-by":"publisher","DOI":"10.1093\/jamia\/ocaa097"},{"key":"bibr5-21501319211069748","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0257095"},{"issue":"1","key":"bibr6-21501319211069748","volume":"89","author":"Medina M","year":"2020","journal-title":"Cleve Clin J Med"},{"issue":"8","key":"bibr7-21501319211069748","doi-asserted-by":"crossref","first-page":"472","DOI":"10.1016\/j.rce.2020.05.013","volume":"220","author":"Mart\u00ednez-Garc\u00eda M","year":"2020","journal-title":"Rev Clin Esp"},{"key":"bibr8-21501319211069748","doi-asserted-by":"publisher","DOI":"10.1111\/jocn.15704"},{"key":"bibr9-21501319211069748","doi-asserted-by":"publisher","DOI":"10.1080\/07853890.2020.1828616"},{"key":"bibr10-21501319211069748","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclinepi.2004.03.012"},{"key":"bibr11-21501319211069748","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclinepi.2008.01.006"},{"key":"bibr12-21501319211069748","volume":"369","author":"Petrilli CM","year":"2020","journal-title":"BMJ"},{"key":"bibr13-21501319211069748","doi-asserted-by":"publisher","DOI":"10.1016\/S2214-109X(20)30264-3"},{"issue":"5","key":"bibr14-21501319211069748","doi-asserted-by":"crossref","DOI":"10.1161\/JAHA.120.019259","volume":"10","author":"O\u2019Hearn M","year":"2021","journal-title":"J Am Heart Assoc"},{"key":"bibr15-21501319211069748","volume":"369","author":"Wynants L","year":"2020","journal-title":"BMJ"},{"key":"bibr16-21501319211069748","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmedr.2020.101298"},{"key":"bibr17-21501319211069748","doi-asserted-by":"publisher","DOI":"10.1136\/bmjopen-2020-044242"},{"key":"bibr18-21501319211069748","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-84603-0"},{"key":"bibr19-21501319211069748","doi-asserted-by":"publisher","DOI":"10.1136\/thoraxjnl-2020-216425"},{"key":"bibr20-21501319211069748","doi-asserted-by":"publisher","DOI":"10.1016\/j.aprim.2021.102118"},{"key":"bibr21-21501319211069748","volume":"22","author":"Steinberg E","year":"2020","journal-title":"Emerg Med Pract"}],"container-title":["Journal of Primary Care &amp; 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