Platelet-to-lymphocyte ratio, a novel biomarker to predict the severity of COVID-19 patients: A systematic review and meta-analysis.

COVID-19 Platelet-to-lymphocyte ratio SARS-CoV-2 coronavirus severity

Journal

Journal of the Intensive Care Society
ISSN: 1751-1437
Titre abrégé: J Intensive Care Soc
Pays: England
ID NLM: 101538668

Informations de publication

Date de publication:
Feb 2022
Historique:
medline: 1 2 2022
pubmed: 1 2 2022
entrez: 11 4 2024
Statut: ppublish

Résumé

Platelet-to-lymphocyte ratio (PLR), a novel inflammatory marker, has been suggested to predict the severity of COVID-19 patients. This systematic review aims to evaluate the association between PLR levels on admission and the severity of COVID-19 patients. A systematic literature search was done on 23 July 2020 to identify peer-reviewed studies, preprints, and grey literatures. Research articles comparing the PLR value on admission in adult patients with COVID-19 with varying degrees of severity were included in the analysis. The following keywords were used for the search: "COVID-19", "PLR", "severity", and "mortality". A total of seven studies were included in the meta-analysis, six of which were conducted in China. From a total of 998 participants included, 316 (31.7%) had severe diseases; and those in the severe group were generally older and had underlying diseases compared to the non-severe group. In comparison to non-severe patients, the meta-analysis showed that severe COVID-19 patients had higher PLR levels on admission (SMD 0.68; 95%CI 0.43-0.93; I

Identifiants

pubmed: 38603090
doi: 10.1177/1751143720969587
pii: 10.1177_1751143720969587
pmc: PMC7649648
doi:

Types de publication

Journal Article

Langues

eng

Pagination

20-26

Informations de copyright

© The Intensive Care Society 2020.

Déclaration de conflit d'intérêts

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Daniel Martin Simadibrata (DM)

Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.

Bashar Adi Wahyu Pandhita (BAW)

Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.

Muammar Emir Ananta (ME)

Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.

Tamara Tango (T)

Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.

Classifications MeSH