{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T09:57:08Z","timestamp":1784627828795,"version":"3.55.0"},"reference-count":14,"publisher":"Walter de Gruyter GmbH","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,8,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p\/>\n                  <jats:sec id=\"j_cclm-2020-0593_abs_001\">\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>The novel coronavirus disease 19 (COVID-19), caused by SARS-CoV-2, spreads rapidly across the world. The exponential increase in the number of cases has resulted in overcrowding of emergency departments (ED). Detection of SARS-CoV-2 is based on an RT-PCR of nasopharyngeal swab material. However, RT-PCR testing is time-consuming and many hospitals deal with a shortage of testing materials. Therefore, we aimed to develop an algorithm to rapidly evaluate an individual\u2019s risk of SARS-CoV-2 infection at the ED.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_cclm-2020-0593_abs_002\">\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this multicenter retrospective study, routine laboratory parameters (C-reactive protein, lactate dehydrogenase, ferritin, absolute neutrophil and lymphocyte counts), demographic data and the chest X-ray\/CT result from 967 patients entering the ED with respiratory symptoms were collected. Using these parameters, an easy-to-use point-based algorithm, called the corona-score, was developed to discriminate between patients that tested positive for SARS-CoV-2 by RT-PCR and those testing negative. Computational sampling was used to optimize the corona-score. Validation of the model was performed using data from 592 patients.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_cclm-2020-0593_abs_003\">\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The corona-score model yielded an area under the receiver operating characteristic curve of 0.91 in the validation population. Patients testing negative for SARS-CoV-2 showed a median corona-score of 3 vs. 11 (scale 0\u201314) in patients testing positive for SARS-CoV-2 (p&lt;0.001). Using cut-off values of 4 and 11 the model has a sensitivity and specificity of 96 and 95%, respectively.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec id=\"j_cclm-2020-0593_abs_004\">\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The corona-score effectively predicts SARS-CoV-2 RT-PCR outcome based on routine parameters. This algorithm provides the means for medical professionals to rapidly evaluate SARS-CoV-2 infection status of patients presenting at the ED with respiratory symptoms.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1515\/cclm-2020-0593","type":"journal-article","created":{"date-parts":[[2020,7,10]],"date-time":"2020-07-10T08:46:32Z","timestamp":1594370792000},"page":"1587-1593","source":"Crossref","is-referenced-by-count":49,"title":["Rapid identification of SARS-CoV-2-infected patients at the emergency department using routine testing"],"prefix":"10.1515","volume":"58","author":[{"given":"Steef","family":"Kurstjens","sequence":"first","affiliation":[{"name":"Laboratory for Clinical Chemistry and Hematology , Jeroen Bosch Hospital , 5223 GZ , Den Bosch , the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Armando","family":"van der Horst","sequence":"additional","affiliation":[{"name":"Laboratory for Clinical Chemistry and Hematology , Jeroen Bosch Hospital , 5223 GZ , Den Bosch , the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Robert","family":"Herpers","sequence":"additional","affiliation":[{"name":"Laboratory of Clinical Chemistry and Hematology , Bernhoven Hospital , Uden , the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mick W. L.","family":"Geerits","sequence":"additional","affiliation":[{"name":"Abnormal Design Ltd , London , UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yvette C. M.","family":"Kluiters-de Hingh","sequence":"additional","affiliation":[{"name":"Laboratory of Clinical Chemistry and Hematology , Elisabeth TweeSteden Hospital , Tilburg , the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eva-Leonne","family":"G\u00f6ttgens","sequence":"additional","affiliation":[{"name":"Laboratory of Clinical Chemistry and Hematology , Amphia Hospital , Breda , the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martinus J. T.","family":"Blaauw","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine , Bernhoven Hospital , Uden , the Netherlands"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marc H. 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