Dynamic NLR and PLR in Predicting COVID-19 Severity: A Retrospective Cohort Study
Rattachement africain : it. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
INTRODUCTION: The hyperinflammation phase of severe SARS-CoV-2 is characterised by complete blood count alterations. In this context, the neutrophil-to-lymphocyte ratio (NLR) and the platelet-to-lymphocyte ratio (PLR) can be used as prognostic factors. We studied NLR and PLR trends at different timepoints and computed optimal cutoffs to predict four outcomes: use of continuous positive airways pressure (CPAP), intensive care unit (ICU) admission, invasive ventilation and death. METHODS: We retrospectively included all adult patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia admitted from 23 January 2020 to 18 May 2021. Analyses included non-parametric tests to study the ability of NLR and PLR to distinguish the patients' outcomes at each timepoint. Receiver operating characteristic (ROC) curves were built for NLR and PLR at each timepoint (minus discharge) to identify cutoffs to distinguish severe and non-severe disease. Their statistical significance was assessed with the chi-square test. Collection of data under the SMACORE database was approved with protocol number 20200046877. RESULTS: We included 2169 patients. NLR and PLR were higher in severe coronavirus disease 2019 (COVID-19). Both ratios were able to distinguish the outcomes at each timepoint. For NLR, the areas under the receiver operating characteristic curve (AUROC) ranged between 0.59 and 0.81, and for PLR between 0.53 and 0.67. From each ROC curve we computed an optimal cutoff value. CONCLUSION: NLR and PLR cutoffs are able to distinguish severity grades and mortality at different timepoints during the course of disease, and, as such, they allow a tailored approach. Future prospects include validating our cutoffs in a prospective cohort and comparing their performance against other COVID-19 scores.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Dynamic NLR and PLR in Predicting COVID-19 Severity: A Retrospective Cohort Study
- Date Crossref
- 17/05/2023
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
-
Policlinico San Matteo Fondazione pays non établi dans la noticeÉtablissement de santé
-
Istituti di Ricovero e Cura a Carattere Scientifico pays non établi dans la noticeÉtablissement de santé
-
University of Pavia Department of Electrical pays non établi dans la noticeUniversité ou école supérieure
-
U.O.C. Malattie Infettive I Fondazione IRCCS Policlinico San Matteo Dipartimento di Chirurgia Fondazione pays non établi dans la noticeÉtablissement de santé
-
Dipartimento di Scienze Clinico-Chirurgiche pays non établi dans la noticeÉtablissement de santé
-
U.O.C. Medicina Interna Fondazione IRCCS Policlinico San Matteo pays non établi dans la noticeÉtablissement de santé
-
U.O.C. Oncologia Medica Fondazione IRCCS Policlinico San Matteo pays non établi dans la noticeÉtablissement de santé
-
U.O.C. Anestesia e Rianimazione Fondazione IRCCS Policlinico San Matteo pays non établi dans la noticeÉtablissement de santé
Policlinico San Matteo Fondazione, Istituti di Ricovero e Cura a Carattere Scientifico et Department of Electrical — University of Pavia, avec 5 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.