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A Comprehensive Appraisal of Laboratory Biochemistry Tests as Major Predictors of COVID-19 Severity

Authors :
Aloisio, Elena
Chibireva, Mariia
Serafini, Ludovica
Pasqualetti, Sara
Falvella, Felicia S.
Dolci, Alberto
Panteghini, Mauro
Source :
Archives of Pathology & Laboratory Medicine. December, 2020, Vol. 144 Issue 12, p1457, 8 p.
Publication Year :
2020

Abstract

* Context.--A relevant portion of coronavirus disease 2019 (COVID-19) patients develop severe disease with negative outcomes. Several biomarkers have been proposed to predict COVID-19 severity, but no definite interpretative criteria have been established to date for stratifying risk. Objective.--To evaluate 6 serum biomarkers (C-reactive protein, lactate dehydrogenase, D-dimer, albumin, ferritin, and cardiac troponin T) for predicting COVID-19 severity and to define related cutoffs able to aid clinicians in risk stratification of hospitalized patients. Design.--A retrospective study of 427 COVID-19 patients was performed. Patients were divided into groups based on their clinical outcome: nonsurvivors versus survivors and patients admitted to an intensive care unit versus others. Receiver operating characteristic curves and likelihood ratios were employed to define predictive cutoffs for evaluated markers. Results.--Marker concentrations at peak were significantly different between groups for both selected outcomes. At univariate logistic regression analysis, all parameters were significantly associated with higher odds of death and intensive care. At the multivariate analysis, high concentrations of lactate dehydrogenase and low concentrations of albumin in serum remained significantly associated with higher odds of death, whereas only low lactate dehydrogenase activities remained associated with lower odds of intensive care admission. The best cutoffs for death prediction were greater than 731 U/L for lactate dehydrogenase and 18 g/L or lower for albumin, whereas a lactate dehydrogenase activity lower than 425 U/L was associated with a negative likelihood ratio of 0.10 for intensive treatment. Conclusions.--Our study identifies which biochemistry tests represent major predictors of COVID-19 severity and defines the best cutoffs for their use. doi: 10.5858/arpa.2020-0389-SA<br />At the end of 2019, an outbreak of atypical pneumonia of unknown cause was detected in Wuhan, the capital of the province of Hubei, China. (1) The etiologic agent of [...]

Details

Language :
English
ISSN :
15432165
Volume :
144
Issue :
12
Database :
Gale General OneFile
Journal :
Archives of Pathology & Laboratory Medicine
Publication Type :
Academic Journal
Accession number :
edsgcl.647535416
Full Text :
https://doi.org/10.5858/arpa.2020-0389-SA