Platelet‐derived immuno‐inflammatory indices show best performance in early prediction of COVID ‐19 progression
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Abstract Background Coronavirus disease 2019 (COVID‐19) profoundly affects the immune and hematopoietic systems with various degrees of reactive changes in the blood cell counts. Immuno‐inflammatory indices are considered a simple and effective tool in the prediction of COVID‐19 outcomes. We aimed to evaluate and compare the usefulness of leukocyte and platelet counts‐based immuno‐inflammatory indices on admission to hospital in predicting COVID‐19 progression and mortality. Methods A total of 945 patients were enrolled. In addition to blood cell counts, we assessed hemogram‐derived immuno‐inflammatory indices in relation to COVID‐19 progression and death. The indices were tested by analysis of variance, receiver operating characteristic curve analysis, and binomial logistic regressions. Results Patients with severe COVID‐19 had significantly higher counts of neutrophils, eosinophils, and large immature cells (LIC), while decreased counts of platelets and monocytes. Lymphopenia was found in all of the patients, but without significant association with the outcomes. Patients with a LIC count ≥0.265 x 09/L had 54.7% more odds of having COVID‐19 progression. In multivariable analyses, platelets/neutrophil‐to‐lymphocyte ratio (P/NLR) and platelets‐to‐neutrophil radio (P/N) were significant independent predictors of COVID‐19 progression and mortality. The odds of a poor outcome were two times higher in cases with P/NLR < 43 x 109/L and P/N < 29 x 109/L. Conclusion Indices that include platelet count in combination with neutrophil and/or lymphocyte counts displayed the best discriminatory ability and prognostic value of COVID‐19 outcomes. Additionally, LIC showed promising results in the early identification of severe COVID‐19.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé, mais le titre doit être comparé manuellement.
- Titre Crossref
- Platelet‐derived immuno‐inflammatory indices show best performance in early prediction of <scp>COVID</scp>‐19 progression
- Date Crossref
- 10/08/2022
- Éditeur
- Wiley
- 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
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University of Nis Department of Pathophysiology pays non établi dans la noticeUniversité ou école supérieure
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Clinic of Cardiology University Clinical Center of Nis Nis Serbia Clinic of Cardiology pays non établi dans la noticeUniversité ou école supérieure
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Medical Biochemistry Center University Clinical Center of Nis Nis Serbia pays non établi dans la noticeUniversité ou école supérieure
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Clinic of Neurology University Clinical Center of Nis Nis Serbia pays non établi dans la noticeUniversité ou école supérieure
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Clinic of Thoracic Surgery University Clinical Center of Nis Nis Serbia pays non établi dans la noticeUniversité ou école supérieure
Department of Pathophysiology — University of Nis, Clinic of Cardiology — Clinic of Cardiology University Clinical Center of Nis Nis Serbia et Medical Biochemistry Center University Clinical Center of Nis Nis Serbia, avec 2 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.