{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T06:46:45Z","timestamp":1772520405442,"version":"3.50.1"},"reference-count":19,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2020,10,30]],"date-time":"2020-10-30T00:00:00Z","timestamp":1604016000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Medical Virology"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>This retrospective, multicenter study investigated the risk factors associated with intensive care unit (ICU) admission and transfer in 461 adult patients with confirmed coronavirus disease 2019 (COVID\u201019) hospitalized from 22 January to 14 March 2020 in Hunan, China. Outcomes of ICU and non\u2010ICU patients were compared, and a simple nomogram for predicting the probability of ICU transfer after hospital admission was developed based on initial laboratory data using a Cox proportional hazards regression model. Differences in laboratory indices were observed between patients admitted to the ICU and those who were not admitted. Several independent predictors of ICU transfer in COVID\u201019 patients were identified including older age (\u226565 years) (hazard ratio [HR]\u2009=\u20094.02), hypertension (HR\u2009=\u20092.65), neutrophil count (HR\u2009=\u20091.11), procalcitonin level (HR\u2009=\u20093.67), prothrombin time (HR\u2009=\u20091.28), and D\u2010dimer level (HR\u2009=\u20091.25). The lymphocyte count and albumin level were negatively associated with mortality (HR\u2009=\u20090.08 and 0.86, respectively). The developed model provides a means for identifying, at hospital admission, the subset of patients with COVID\u201019 who are at high risk of progression and would require transfer to the ICU within 3 and 7 days after hospitalization. This method of early patient triage allows a more effective allocation of limited medical resources.<\/jats:p>","DOI":"10.1002\/jmv.26244","type":"journal-article","created":{"date-parts":[[2020,6,30]],"date-time":"2020-06-30T19:48:16Z","timestamp":1593546496000},"page":"434-440","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["Simple nomogram based on initial laboratory data for predicting the probability of ICU transfer of COVID\u201019 patients: Multicenter retrospective study"],"prefix":"10.1002","volume":"93","author":[{"given":"Zihang","family":"Zeng","sequence":"first","affiliation":[{"name":"Department of Pulmonary and Critical Care Medicine, Second Xiangya Hospital Central South University Changsha Hunan China"},{"name":"Research Unit of Respiratory Disease Central South University Changsha Hunan China"},{"name":"Diagnosis and Treatment Center of Respiratory Disease Central South University Changsha Hunan 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China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Respiratory Medicine Zhuzhou Central Hospital Zhuzhou Hunan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenlong","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Respiratory Medicine, Yueyang Second People's Hospital Designated Hospital of Junshan District Yueyang Hunan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingyan","family":"Jiang","sequence":"additional","affiliation":[{"name":"Department of Respiratory and Critical Medicine Xiangtan Central Hospital Xiangtan Hunan China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xudong","family":"Xiang","sequence":"additional","affiliation":[{"name":"Department of Emergency Medicine, Second Xiangya Hospital Central South University Changsha Hunan 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China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7713-6913","authenticated-orcid":false,"given":"Yan","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Pulmonary and Critical Care Medicine, Second Xiangya Hospital Central South University Changsha Hunan China"},{"name":"Research Unit of Respiratory Disease Central South University Changsha Hunan China"},{"name":"Diagnosis and Treatment Center of Respiratory Disease Central South University Changsha Hunan China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2020,10,30]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2001017"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41564-020-0695-z"},{"key":"e_1_2_8_4_1","article-title":"Clinical characteristics of 50466 hospitalized patients with 2019\u2010nCoV infection","author":"Sun 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