The complexity of examining laboratory-based biological markers associated with mortality in hospitalized patients during early phase of the COVID-19 pandemic: A systematic review and evidence map.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2022
Historique:
received: 06 03 2022
accepted: 24 05 2022
entrez: 9 9 2022
pubmed: 10 9 2022
medline: 14 9 2022
Statut: epublish

Résumé

The measurement of laboratory biomarkers plays a critical role in managing patients with COVID-19. However, to date most systematic reviews examining the association between laboratory biomarkers and mortality in hospitalized patients early in the pandemic focused on small sets of biomarkers, did not account for multiple studies including patients within the same institutions during overlapping timeframes, and did not include a significant number of studies conducted in countries other than China. To provide a comprehensive summary and an evidence map examining the relationship between a wide range of laboratory biomarkers and mortality among patients hospitalized with COVID-19 during the early phase of the pandemic in multiple countries. MEDLINE, EMBASE, and Web of Science were searched from Dec 2019 to March 9, 2021. A total of 14,049 studies were identified and screened independently by two raters; data was extracted by a single rater and verified by a second. Quality was assessed using the Joanna Briggs Institute (JBI) Case Series Critical Appraisal tool. To allow comparison across biomarkers, standardized mean differences (SMD) were used to quantify the relationship between laboratory biomarkers and hospital mortality. Meta-regression was conducted to account for clustering within institutions and countries. Our systematic review included 94 case-series studies from 30 countries. Across all biomarkers, the largest and most precise SMDs were observed for cardiac (troponin (1.03 (95% CI 0.86 to 1.21)), and BNP/NT-proBNP (0.93 (0.52 to 1.34)), inflammatory (IL-6 (0.97 (0.67 to 1.28) and Neutrophil-to-lymphocyte ratio (0.94 (0.59 to 1.29)), and renal biomarkers (blood urea nitrogen (1.01 (0.79 to 1.23)) and estimated glomerular filtration rate (-0.96 (-1.42 to -0.50)). There was heterogeneity for most biomarkers across countries with studies conducted in China generally having larger effect sizes. The results of this study provide an early pandemic summary of the relationship between biomarkers and mortality in hospitalized patients. We found our estimated ESs were generally attenuated compared to previous systematic reviews which predominantly included studies conducted in China. Despite using sophisticated methodology to examine studies across countries, heterogeneity in reporting of case-series studies early in the pandemic limits clinical interpretability.

Identifiants

pubmed: 36084120
doi: 10.1371/journal.pone.0273578
pii: PONE-D-22-05010
pmc: PMC9462773
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0273578

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Lauren E Griffith (LE)

Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Ontario, Canada.
McMaster Institute for Research on Aging, McMaster University, Hamilton, Ontario, Canada.

Muhammad Usman Ali (MU)

Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.

Alessandra Andreacchi (A)

Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.

Mark Loeb (M)

Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.

Meghan Kenny (M)

Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.

Divya Joshi (D)

Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Ontario, Canada.
McMaster Institute for Research on Aging, McMaster University, Hamilton, Ontario, Canada.

Vishal Mokashi (V)

School of Life Sciences, McMaster University, Hamilton, Ontario, Canada.

Ahmed Irshad (A)

Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.

Angela K Ulrich (AK)

Center for Infectious Disease Research and Policy, University of Minnesota, Minneapolis, MN, United States of America.
Division of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN, United States of America.

Nicole E Basta (NE)

Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada.

Parminder Raina (P)

Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.
Labarge Centre for Mobility in Aging, McMaster University, Hamilton, Ontario, Canada.
McMaster Institute for Research on Aging, McMaster University, Hamilton, Ontario, Canada.

Laura Anderson (L)

Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.

Cynthia Balion (C)

Department of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.

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