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Serum biomarkers for prediction of mortality in patients with COVID-19.
Loomba, Rohit S; Villarreal, Enrique G; Farias, Juan S; Aggarwal, Gaurav; Aggarwal, Saurabh; Flores, Saul.
  • Loomba RS; Department of Pediatric Critical Care, Advocate Children's Hospital, Oak Lawn, IL, USA.
  • Villarreal EG; Department of Pediatrics, Chicago Medical School/Rosalind Franklin University of Medicine and Science, Chicago, IL, USA.
  • Farias JS; Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo Leon, Mexico.
  • Aggarwal G; Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, Nuevo Leon, Mexico.
  • Aggarwal S; Department of Medicine, Jersey City Medical Center, Jersey City, NJ, USA.
  • Flores S; Department of Medicine, UnityPoint Clinic, Des Moines, IA, USA.
Ann Clin Biochem ; 59(1): 15-22, 2022 01.
Article in English | MEDLINE | ID: covidwho-1622156
ABSTRACT

BACKGROUND:

There is limited information regarding the role of biomarker levels at predicting mortality in patients with the coronavirus disease (COVID-19) pandemic. The purpose of this study is to determine the differences in serum biomarker levels in adults with COVID-19 who survived hospitalization from those who did not.

METHODS:

A comprehensive search was completed on PubMed, EMBASE and Cochrane libraries to identify studies of interest. Endpoints of interest were blood counts, hepatic function test, acute phase reactants, cytokines and cardiac biomarkers.

RESULTS:

A total of 10 studies with 1584 patients were included in the pooled analyses. Biomarkers that were noted to be significantly higher in those who died from coronavirus disease included white blood cell count, neutrophil count, C-reactive protein, high sensitivity C-reactive protein, procalcitonin, ferritin, D-dimer, interleukin-6, lactate dehydrogenase, creatine kinase, prothrombin time, aspartate aminotransferase, alanine aminotransferase, total bilirubin and creatinine. Lymphocyte count, platelet count and albumin were significantly lower in patients who died.

CONCLUSION:

This pooled analysis of 10 studies including 1584 patients identified significant differences in biomarkers on admission in patients who survived from those who did not. Further research is needed to develop risk stratification models to help with judicious use of limited health-care resources.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Reviews Limits: Humans Language: English Journal: Ann Clin Biochem Year: 2022 Document Type: Article Affiliation country: 00045632211014244

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study / Reviews Limits: Humans Language: English Journal: Ann Clin Biochem Year: 2022 Document Type: Article Affiliation country: 00045632211014244