In:
PLOS ONE, Public Library of Science (PLoS), Vol. 16, No. 3 ( 2021-3-4), p. e0247676-
Abstract:
We retrospectively evaluated 2879 hospitalized COVID-19 patients from four hospitals to evaluate the ability of demographic data, medical history, and on-admission laboratory parameters to predict in-hospital mortality. Association of previously published risk factors (age, gender, arterial hypertension, diabetes mellitus, smoking habit, obesity, renal failure, cardiovascular/ pulmonary diseases, serum ferritin, lymphocyte count, APTT, PT, fibrinogen, D-dimer, and platelet count) with death was tested by a multivariate logistic regression, and a predictive model was created, with further validation in an independent sample. A total of 2070 hospitalized COVID-19 patients were finally included in the multivariable analysis. Age 61–70 years ( p 〈 0.001; OR: 7.69; 95%CI: 2.93 to 20.14), age 71–80 years ( p 〈 0.001; OR: 14.99; 95%CI: 5.88 to 38.22), age 〉 80 years ( p 〈 0.001; OR: 36.78; 95%CI: 14.42 to 93.85), male gender ( p 〈 0.001; OR: 1.84; 95%CI: 1.31 to 2.58), D-dimer levels 〉 2 ULN ( p = 0.003; OR: 1.79; 95%CI: 1.22 to 2.62), and prolonged PT ( p 〈 0.001; OR: 2.18; 95%CI: 1.49 to 3.18) were independently associated with increased in-hospital mortality. A predictive model performed with these parameters showed an AUC of 0.81 in the development cohort (n = 1270) [sensitivity of 95.83%, specificity of 41.46%, negative predictive value of 98.01%, and positive predictive value of 24.85%]. These results were then validated in an independent data sample (n = 800). Our predictive model of in-hospital mortality of COVID-19 patients has been developed, calibrated and validated. The model (MRS-COVID) included age, male gender, and on-admission coagulopathy markers as positively correlated factors with fatal outcome.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0247676
DOI:
10.1371/journal.pone.0247676.g001
DOI:
10.1371/journal.pone.0247676.t001
DOI:
10.1371/journal.pone.0247676.t002
DOI:
10.1371/journal.pone.0247676.t003
DOI:
10.1371/journal.pone.0247676.s001
DOI:
10.1371/journal.pone.0247676.s002
DOI:
10.1371/journal.pone.0247676.r001
DOI:
10.1371/journal.pone.0247676.r002
DOI:
10.1371/journal.pone.0247676.r003
DOI:
10.1371/journal.pone.0247676.r004
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2267670-3
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