{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,19]],"date-time":"2026-10-19T09:40:55Z","timestamp":1792402855140,"version":"4.4.0"},"reference-count":31,"publisher":"SAGE Publications","issue":"9","license":[{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2020,9,1]],"date-time":"2020-09-01T00:00:00Z","timestamp":1598918400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Int Med Res"],"published-print":{"date-parts":[[2020,9]]},"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The roles of inflammation and hypercoagulation in predicting outcomes of coronavirus disease 2019 (COVID-19) are unclear.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Adult patients diagnosed with COVID-19 from 28 January 2020 to 4 March 2020 in Tongji Hospital, Wuhan were recruited. Data on related parameters were collected. Univariate analysis and multivariable binary logistic regression were used to explore predictors of critical illness and mortality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In total, 199 and 44 patients were enrolled in the training and testing sets, respectively. Elevated ferritin, tumor necrosis factor-\u03b1 and D-dimer and decreased albumin concentration were associated with disease severity. Older age, elevated ferritin and elevated interleukin-6 were associated with 28-day mortality. The FAD-85 score, defined as age\u2009+\u20090.01\u2009*\u2009ferritin +D-dimer, was used to predict risk of mortality. The sensitivity, specificity and accuracy of FAD-85 were 86.4%, 81.8% and 86.4%, respectively. A nomogram was established using age, ferritin and D-dimer to predict the risk of 28-day mortality.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Thrombo-inflammatory parameters provide key information on the severity and prognosis of COVID-19 and can be used as references for clinical treatment to correct inflammatory and coagulation abnormalities.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/0300060520955037","type":"journal-article","created":{"date-parts":[[2020,9,22]],"date-time":"2020-09-22T17:13:08Z","timestamp":1600794788000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":14,"title":["Thrombo-inflammatory features predicting mortality in patients with COVID-19: The FAD-85 score"],"prefix":"10.1177","volume":"48","author":[{"given":"Junhong","family":"Wang","sequence":"first","affiliation":[{"name":"Emergency Department, Peking University Third Hospital, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hua","family":"Zhang","sequence":"additional","affiliation":[{"name":"Clinical Epidemiology Research Center, Peking University Third Hospital, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rui","family":"Qiao","sequence":"additional","affiliation":[{"name":"Department of Clinical Laboratory Medicine, Peking University Third Hospital, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qinggang","family":"Ge","sequence":"additional","affiliation":[{"name":"Department of Critical Care Medicine, Peking University Third Hospital, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shuisheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of General Surgery, Peking University Third Hospital, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zongxuan","family":"Zhao","sequence":"additional","affiliation":[{"name":"The Third School of Clinical Medicine, Peking University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6569-9364","authenticated-orcid":false,"given":"Ci","family":"Tian","sequence":"additional","affiliation":[{"name":"Emergency Department, Peking University Third Hospital, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qingbian","family":"Ma","sequence":"additional","affiliation":[{"name":"Emergency Department, Peking University Third Hospital, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2352-0677","authenticated-orcid":false,"given":"Ning","family":"Shen","sequence":"additional","affiliation":[{"name":"Department of Respiratory and Critical Medicine, Peking University Third Hospital, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2020,9,22]]},"reference":[{"key":"e_1_3_7_2_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2002032"},{"key":"e_1_3_7_3_2","unstructured":"National Health Commission of the People's Republic of China. http: \/\/www.nhc.gov.cn\/yzygj\/s7653p\/202003\/46c9294a7dfe4cef80dc7f5912eb1989\/files\/ce3e6945832a438eaae415350a8ce964.pdf (2020 accessed 9 February 2020)."},{"key":"e_1_3_7_4_2","doi-asserted-by":"publisher","DOI":"10.1111\/jth.14768"},{"key":"e_1_3_7_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(20)30566-3"},{"key":"e_1_3_7_6_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamainternmed.2020.0994"},{"key":"e_1_3_7_7_2","doi-asserted-by":"crossref","unstructured":"Lu Q Li XC Shi J et\u00a0al. 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