{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T04:19:01Z","timestamp":1747196341427,"version":"3.40.5"},"reference-count":14,"publisher":"Public Library of Science (PLoS)","issue":"7","license":[{"start":{"date-parts":[[2023,7,20]],"date-time":"2023-07-20T00:00:00Z","timestamp":1689811200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"FCT \u2013 Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","award":["UIDB\/04561\/2020"],"award-info":[{"award-number":["UIDB\/04561\/2020"]}]}],"content-domain":{"domain":["www.plosone.org"],"crossmark-restriction":false},"short-container-title":["PLoS ONE"],"abstract":"<jats:sec id=\"sec001\"><jats:title>Background<\/jats:title><jats:p>The COVID-19 pandemic has been the most serious public health crisis in recent times, a pandemic whose impact was felt across the globe in various groups and populations. Confronted with an urgent problem, people and governments were forced to make decisions without fully understanding the disease. The present work aims to reinforce our ever-growing knowledge of the illness, particularly in modelling the risk of death of a patient admitted to a hospital with a positive COVID-19 test.<\/jats:p><\/jats:sec><jats:sec id=\"sec002\"><jats:title>Methods<\/jats:title><jats:p>Given the simplicity of using and programming logistic regression in any national healthcare unit and the ease of interpreting the results, we chose to use this technique over several other. Using scoring techniques, it is possible to associate the various diagnoses with a numerical value (score), making it possible therefore to integrate the patient\u2019s multiple medical conditions as a single continuous variable in the model.<\/jats:p><\/jats:sec><jats:sec id=\"sec003\"><jats:title>Results<\/jats:title><jats:p>It is possible to establish with good discriminatory capacity (ROC AUC Test = 0.8) which COVID patients are at higher risk when admitted to the healthcare unit\u2014people of advanced age with pre-existing conditions, such as diabetes and high blood pressure, or newly acquired conditions, such as pneumonia. Moreover, males and clinical episodes occurring in healthcare units with few available beds (high healthcare unit occupancy) are also at higher risk. The importance of each variable in predicting the target is: age (47%), sum of comorbidity scores (28%), healthcare unit score (12.0%), gender score (7%) and healthcare unit occupancy (6%).<\/jats:p><\/jats:sec><jats:sec id=\"sec004\"><jats:title>Conclusions<\/jats:title><jats:p>Using a dataset with more than 52000 people, it was possible to successfully differentiate likelihood of death by COVID using age, comorbidity information, healthcare unit, healthcare unit occupancy and gender. The age and the comorbidities associated with each patient had a joint contribution of about 75% in explaining the COVID related mortality in Portuguese public hospitals in the period between March 2020 and May 2021.<\/jats:p><\/jats:sec>","DOI":"10.1371\/journal.pone.0288460","type":"journal-article","created":{"date-parts":[[2023,7,20]],"date-time":"2023-07-20T17:34:00Z","timestamp":1689874440000},"page":"e0288460","update-policy":"https:\/\/doi.org\/10.1371\/journal.pone.corrections_policy","source":"Crossref","is-referenced-by-count":2,"title":["A risk scoring model of COVID-19 at hospital admission"],"prefix":"10.1371","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3108-4177","authenticated-orcid":true,"given":"Jo\u00e3o Jos\u00e9 Ferreira","family":"Gomes","sequence":"first","affiliation":[]},{"given":"Ant\u00f3nio","family":"Ferreira","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6289-1222","authenticated-orcid":true,"given":"Afonso","family":"Alves","sequence":"additional","affiliation":[]},{"given":"Beatriz Nogueira","family":"Sequeira","sequence":"additional","affiliation":[]}],"member":"340","published-online":{"date-parts":[[2023,7,20]]},"reference":[{"issue":"5","key":"pone.0288460.ref001","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1093\/occmed\/kqaa073","article-title":"COVID-19 lockdowns throughout the world","volume":"70","author":"D. 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