{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T07:46:31Z","timestamp":1775029591633,"version":"3.50.1"},"reference-count":32,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2020,10,14]],"date-time":"2020-10-14T00:00:00Z","timestamp":1602633600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["11671129"],"award-info":[{"award-number":["11671129"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010451","name":"Health and Family Planning Commission of Hunan Province","doi-asserted-by":"publisher","award":["B20180428"],"award-info":[{"award-number":["B20180428"]}],"id":[{"id":"10.13039\/501100010451","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Medical Virology"],"published-print":{"date-parts":[[2021,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    To date, the coronavirus disease 2019 (COVID\u201019) has a worldwide distribution. Risk factors for mortality in critically ill patients, especially detailed self\u2010evaluation indicators and laboratory\u2010examination indicators, have not been well described. In this paper, a total of 192 critically ill patients (142 were discharged and 50 died in the hospital) with COVID\u201019 were included. Self\u2010evaluation indicators including demographics, baseline characteristics, and symptoms and detailed lab\u2010examination indicators were extracted. Data were first compared between survivors and nonsurvivors. Multivariate pattern analysis (MVPA) was performed to identify possible risk factors for mortality of COVID\u201019 patients. MVPA achieved a relatively high classification accuracy of 93% when using both self\u2010evaluation indicators and laboratory\u2010examination indicators. Several self\u2010evaluation factors related to COVID\u201019 were highly associated with mortality, including age, duration (time from illness onset to admission), and the Barthel index (BI) score. When the duration, age increased by 1 day, 1 year, BI decreased by 1 point, the mortality increased by 3.6%, 2.4%, and 0.9% respectively. Laboratory\u2010examination indicators including C\u2010reactive protein, white blood cell count, platelet count, fibrin degradation products, oxygenation index, lymphocyte count, and\n                    <jats:sc>d<\/jats:sc>\n                    \u2010dimer were also risk factors. Among them, duration was the strongest predictor of all\u2010cause mortality. Several self\u2010evaluation indicators that can simply be obtained by questionnaires and without clinical examination were the risk factors of all\u2010cause mortality in critically ill COVID\u201019 patients. The prediction model can be used by individuals to improve health awareness, and by clinicians to identify high\u2010risk individuals.\n                  <\/jats:p>","DOI":"10.1002\/jmv.26572","type":"journal-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T15:17:01Z","timestamp":1601479021000},"page":"2046-2055","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Risk factors for mortality in critically ill patients with COVID\u201019 in Huanggang, China: A single\u2010center multivariate pattern analysis"],"prefix":"10.1002","volume":"93","author":[{"given":"Yinyin","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Nephrology and Laboratory of Kidney Disease, Hunan Provincial People's Hospital Hunan Normal University Changsha China"},{"name":"Changsha Clinical Research Center for Kidney Disease Changsha China"},{"name":"Hunan Clinical Research Center for Chronic Kidney Disease Changsha China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4181-3959","authenticated-orcid":false,"given":"Zeqiang","family":"Linli","sequence":"additional","affiliation":[{"name":"MOE\u2010LCSM, School of Mathematics and Statistics Hunan Normal University Changsha China"},{"name":"Key Laboratory of Applied Statistics and Data Science, College of Hunan Province Hunan Normal University Changsha China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuting","family":"Lei","sequence":"additional","affiliation":[{"name":"Department of Nephrology and Laboratory of Kidney Disease, Hunan Provincial People's Hospital Hunan Normal University Changsha China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiya","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Nephrology and Laboratory of Kidney Disease, Hunan Provincial People's Hospital Hunan Normal University Changsha China"},{"name":"Changsha Clinical Research Center for Kidney Disease Changsha China"},{"name":"Hunan Clinical Research Center for Chronic Kidney Disease Changsha China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhipeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Dabie Mountain Regional Medical Center Huanggang China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youchun","family":"Xia","sequence":"additional","affiliation":[{"name":"Dabie Mountain Regional Medical Center Huanggang China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yumei","family":"Liang","sequence":"additional","affiliation":[{"name":"Department of Nephrology and Laboratory of Kidney Disease, Hunan Provincial People's Hospital Hunan Normal University Changsha China"},{"name":"Changsha Clinical Research Center for Kidney Disease Changsha China"},{"name":"Hunan Clinical Research Center for Chronic Kidney Disease Changsha China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huabo","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Nephrology and Laboratory of Kidney Disease, Hunan Provincial People's Hospital Hunan Normal University Changsha China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuixia","family":"Guo","sequence":"additional","affiliation":[{"name":"MOE\u2010LCSM, School of Mathematics and Statistics Hunan Normal University Changsha China"},{"name":"Key Laboratory of Applied Statistics and Data Science, College of Hunan Province Hunan Normal University Changsha China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2020,10,14]]},"reference":[{"key":"e_1_2_10_2_1","unstructured":"World Health Organization. WHO Director\u2010General's opening remarks at the media briefing on COVID\u201019; 10 April\/2020.https:\/\/www.who.int\/dg\/speeches\/detail\/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---10-april-2020"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2020.1585"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2020.0994"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2002032"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30183-5"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/S2213-2600(20)30079-5"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30566-3"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2006.07.005"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2011.12.052"},{"issue":"3","key":"e_1_2_10_11_1","first-page":"1","article-title":"mice: multivariate imputation by chained equations in R","volume":"45","author":"Buuren S","year":"2010","journal-title":"J Stat Softw"},{"key":"e_1_2_10_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2008.11.007"},{"key":"e_1_2_10_13_1","doi-asserted-by":"publisher","DOI":"10.1101\/2020.03.06.20032342"},{"key":"e_1_2_10_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30211-7"},{"key":"e_1_2_10_15_1","unstructured":"Italian Government measures. 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