In:
PLOS ONE, Public Library of Science (PLoS), Vol. 16, No. 5 ( 2021-5-6), p. e0250956-
Abstract:
Clinical and laboratory predictors of COVID-19 severity are now well described and combined to propose mortality or severity scores. However, they all necessitate saturable equipment such as scanners, or procedures difficult to implement such as blood gas measures. To provide an easy and fast COVID-19 severity risk score upon hospital admission, and keeping in mind the above limits, we sought for a scoring system needing limited invasive data such as a simple blood test and co-morbidity assessment by anamnesis. A retrospective study of 303 patients (203 from Bordeaux University hospital and an external independent cohort of 100 patients from Paris Pitié-Salpêtrière hospital) collected clinical and biochemical parameters at admission. Using stepwise model selection by Akaike Information Criterion (AIC), we built the severity score Covichem. Among 26 tested variables, 7: obesity, cardiovascular conditions, plasma sodium, albumin, ferritin, LDH and CK were the independent predictors of severity used in Covichem (accuracy 0.87, AUROC 0.91). Accuracy was 0.92 in the external validation cohort (89% sensitivity and 95% specificity). Covichem score could be useful as a rapid, costless and easy to implement severity assessment tool during acute COVID-19 pandemic waves.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0250956
DOI:
10.1371/journal.pone.0250956.g001
DOI:
10.1371/journal.pone.0250956.g002
DOI:
10.1371/journal.pone.0250956.t001
DOI:
10.1371/journal.pone.0250956.t002
DOI:
10.1371/journal.pone.0250956.s001
DOI:
10.1371/journal.pone.0250956.s002
DOI:
10.1371/journal.pone.0250956.s003
DOI:
10.1371/journal.pone.0250956.s004
DOI:
10.1371/journal.pone.0250956.s005
DOI:
10.1371/journal.pone.0250956.s006
DOI:
10.1371/journal.pone.0250956.s007
DOI:
10.1371/journal.pone.0250956.s008
DOI:
10.1371/journal.pone.0250956.r001
DOI:
10.1371/journal.pone.0250956.r002
DOI:
10.1371/journal.pone.0250956.r003
DOI:
10.1371/journal.pone.0250956.r004
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2267670-3
Bookmarklink