About: Clinical and laboratory predictors of in-hospital mortality in patients with COVID-19: a cohort study in Wuhan, China

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About: Clinical and laboratory predictors of in-hospital mortality in patients with COVID-19: a cohort study in Wuhan, China Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Clinical and laboratory predictors of in-hospital mortality in patients with COVID-19: a cohort study in Wuhan, China
Creator	Zhao, Xiaofang Zhang, Hao Liu, C Zhang, Meng Wang, Kun Liu, Wang, K Zhao, ; Phd, Chen Xie, ; Zhang, ; Chen, Xinglin Liu, Chengyun Liu, Yuwei Xie, Songpu Zuo, P Zuo, Peiyuan
Source	Medline; PMC
abstract	BACKGROUND: This study aimed to develop mortality-prediction models for patients with Coronavirus disease 2019 (COVID-19). METHODS: The training cohort were consecutive patients with COVID-19 in the First People’s Hospital of Jiangxia District in Wuhan from January 7, 2020 to February 11, 2020. We selected baseline clinical and laboratory data through the stepwise Akaike information criterion and ensemble XGBoost model to build mortality-prediction models. We then validated these models by randomly collecting COVID-19 patients in the Infection department of Union Hospital in Wuhan from January 1, 2020, to February 20, 2020. RESULTS: 296 patients with COVID-19 were enrolled in the training cohort, 19 of whom died during hospitalization and 277 were discharged from the hospital. The clinical model developed with age, history of hypertension and coronary heart disease showed AUC of 0.88 (95% CI, 0.80-0.95); threshold, -2.6551; sensitivity, 92.31%; specificity, 77.44% and negative predictive value (NPV), 99.34%. The laboratory model developed with age, high-sensitivity C-reactive protein (hsCRP), peripheral capillary oxygen saturation (SpO2), neutrophil and lymphocyte count, D-dimer, aspartate aminotransferase (AST) and glomerular filtration rate (GFR) had a significantly stronger discriminatory power than the clinical model (p=0.0157), with AUC of 0.98 (95% CI, 0.92-0.99); threshold, -2.998; sensitivity, 100.00%; specificity, 92.82% and NPV, 100.00%. In the subsequent validation cohort (N=44), the AUCs (95% CI) were 0.83 (0.68, 0.93) and 0.88 (0.75, 0.96) for clinical model and laboratory model, respectively. CONCLUSIONS: We developed two predictive models for the in-hospital mortality of patients with COVID-19 in Wuhan and validated in patients from another center.
has issue date	2020-05-03(xsd:dateTime)
bibo:doi	10.1093/cid/ciaa538
bibo:pmid	32361723
has license	no-cc
sha1sum (hex)	a755f3367cf1fe129b06d70c0e4618a29268f860
schema:url	https://doi.org/10.1093/cid/ciaa538
resource representing a document's title	Clinical and laboratory predictors of in-hospital mortality in patients with COVID-19: a cohort study in Wuhan, China
has PubMed Central identifier	PMC7197616
has PubMed identifier	32361723
schema:publication	Clin Infect Dis
resource representing a document's body	covid:a755f3367cf1fe129b06d70c0e4618a29268f860#body_text
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