Platelet-to-Lymphocyte Ratio (PLR) Is Not a Predicting Marker of Severity but of Mortality in COVID-19 Patients Admitted to the Emergency Department: A Retrospective Multicenter Study.

COVID-19 PLR mortality platelet-to-lymphocyte ratio severity

Journal

Journal of clinical medicine
ISSN: 2077-0383
Titre abrégé: J Clin Med
Pays: Switzerland
ID NLM: 101606588

Informations de publication

Date de publication:
21 Aug 2022
Historique:
received: 30 07 2022
revised: 18 08 2022
accepted: 19 08 2022
entrez: 26 8 2022
pubmed: 27 8 2022
medline: 27 8 2022
Statut: epublish

Résumé

(1) Introduction: In the present study, we investigate the prognostic value of platelet-to-lymphocyte ratio (PLR) as a marker of severity and mortality in COVID-19 infection. (2) Methods: Between 1 March and 30 April 2020, we conducted a multicenter, retrospective cohort study of patients with moderate to severe coronavirus 19 (COVID-19), all of whom were hospitalized after being admitted to the emergency department (ED). (3) Results: A total of 1035 patients were included in our study. Neither lymphocytes, platelets or PLR were associated with disease severity. Lymphocyte count was significantly lower and PLR values were significantly higher in the group of patients who died, and both were associated with mortality in the univariate analysis (OR: 0.524, 95% CI: (0.336−0.815), p = 0.004) and (OR: 1.001, 95% CI: (1.000−1.001), p = 0.042), respectively. However, the only biological parameter significantly associated with mortality in the multivariate analysis was platelet count (OR: 0.996, 95% CI: (0.996−1.000), p = 0.027). The best PLR value for predicting mortality in COVID-19 was 356.6 (OR: 3.793, 95% CI: (1.946−7.394), p < 0.001). (4) Conclusion: A high PLR value is however associated with excess mortality.

Identifiants

pubmed: 36013142
pii: jcm11164903
doi: 10.3390/jcm11164903
pmc: PMC9409988
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Paul Simon (P)

Emergency Department, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France.
Medicine Faculty, Strasbourg University, 67000 Strasbourg, France.

Pierrick Le Borgne (P)

Emergency Department, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France.
INSERM (French National Institute of Health and Medical Research), UMR 1260, Regenerative NanoMedicine (RNM), Fédération de Médecine Translationnelle (FMTS), 67000 Strasbourg, France.

François Lefevbre (F)

Department of Public Health, University Hospital of Strasbourg, 67000 Strasbourg, France.

Lauriane Cipolat (L)

Emergency Department, Regional Hospital of Metz-Thionville, 57000 Metz, France.

Aline Remillon (A)

Emergency Department, Regional Hospital of Metz-Thionville, 57000 Metz, France.

Camille Dib (C)

Emergency Department, Regional Hospital of Metz-Thionville, 57000 Metz, France.

Mathieu Hoffmann (M)

Emergency Department, Regional Hospital of Metz-Thionville, 57000 Metz, France.

Idalie Gardeur (I)

Emergency Department, Regional Hospital of Metz-Thionville, 57000 Metz, France.

Jonathan Sabah (J)

Department of Gynecologic Surgery, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France.

Sabrina Kepka (S)

Emergency Department, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France.

Pascal Bilbault (P)

Emergency Department, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France.
Medicine Faculty, Strasbourg University, 67000 Strasbourg, France.
INSERM (French National Institute of Health and Medical Research), UMR 1260, Regenerative NanoMedicine (RNM), Fédération de Médecine Translationnelle (FMTS), 67000 Strasbourg, France.

Charles-Eric Lavoignet (CE)

Emergency Department, Hôpital Nord Franche Comté, 90400 Trévenans, France.

Laure Abensur Vuillaume (L)

Emergency Department, Regional Hospital of Metz-Thionville, 57000 Metz, France.

Classifications MeSH