Low Lymphocyte-to-Monocyte Ratio as a Possible Predictor of an Unfavourable Clinical Outcome in Patients with Acute Ischemic Stroke after Mechanical Thrombectomy.


Journal

Stroke research and treatment
ISSN: 2090-8105
Titre abrégé: Stroke Res Treat
Pays: United States
ID NLM: 101529024

Informations de publication

Date de publication:
2022
Historique:
received: 08 08 2022
revised: 20 11 2022
accepted: 23 11 2022
entrez: 20 12 2022
pubmed: 21 12 2022
medline: 21 12 2022
Statut: epublish

Résumé

Although considerable progress has been made in the treatment of acute ischemic stroke (AIS), the clinical outcome of patients is still significantly influenced by the inflammatory response that follows stroke-induced brain injury. The aim of this study was to evaluate the potential use of complete blood count parameters, including indices and ratios, for predicting the clinical outcome in AIS patients undergoing mechanical thrombectomy (MT). This single-centre retrospective study is consisted of 179 patients. Patient data including demographic characteristics, risk factors, clinical data, laboratory parameters on admission, and clinical outcome were collected. Based on the clinical outcome assessed at 3 months after MT by the modified Rankin Scale (mRS), patients were divided into two groups: the favourable group (mRS 0-2) and unfavourable group (mRS 3-6). Stepwise multivariate logistic regression analysis was used to detect an independent predictor of the unfavourable clinical outcome. An unfavourable clinical outcome was detected after 3 months in 101 patients (54.4%). Multivariate logistic regression analysis confirmed that the lymphocyte-to-monocyte ratio (LMR) was an independent predictor of unfavourable clinical outcome at 3 months (odds ratio = 0.761, 95% confidence interval 0.625-0.928, and The LMR at the time of hospital admission is a predictor of an unfavourable clinical outcome at 3 months in AIS patients after MT.

Sections du résumé

Background UNASSIGNED
Although considerable progress has been made in the treatment of acute ischemic stroke (AIS), the clinical outcome of patients is still significantly influenced by the inflammatory response that follows stroke-induced brain injury. The aim of this study was to evaluate the potential use of complete blood count parameters, including indices and ratios, for predicting the clinical outcome in AIS patients undergoing mechanical thrombectomy (MT).
Methods UNASSIGNED
This single-centre retrospective study is consisted of 179 patients. Patient data including demographic characteristics, risk factors, clinical data, laboratory parameters on admission, and clinical outcome were collected. Based on the clinical outcome assessed at 3 months after MT by the modified Rankin Scale (mRS), patients were divided into two groups: the favourable group (mRS 0-2) and unfavourable group (mRS 3-6). Stepwise multivariate logistic regression analysis was used to detect an independent predictor of the unfavourable clinical outcome.
Results UNASSIGNED
An unfavourable clinical outcome was detected after 3 months in 101 patients (54.4%). Multivariate logistic regression analysis confirmed that the lymphocyte-to-monocyte ratio (LMR) was an independent predictor of unfavourable clinical outcome at 3 months (odds ratio = 0.761, 95% confidence interval 0.625-0.928, and
Conclusion UNASSIGNED
The LMR at the time of hospital admission is a predictor of an unfavourable clinical outcome at 3 months in AIS patients after MT.

Identifiants

pubmed: 36536620
doi: 10.1155/2022/9243080
pmc: PMC9759396
doi:

Types de publication

Journal Article

Langues

eng

Pagination

9243080

Informations de copyright

Copyright © 2022 Katarína Pinčáková et al.

Déclaration de conflit d'intérêts

The authors declare that there is no conflict of interest regarding the publication of this paper.

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Auteurs

Katarína Pinčáková (K)

Department of Laboratory Medicine, Faculty of Health and Social Care, Trnava University in Trnava, 918 43 Trnava, Slovakia.
Department of Haematology, Faculty Hospital Trnava, 917 75 Trnava, Slovakia.

Georgi Krastev (G)

Jessenius Medical Faculty in Martin, Comenius University in Bratislava, 036 01 Martin-Záturčie, Slovakia.
Department of Neurology, Faculty Hospital Trnava, 917 75 Trnava, Slovakia.

Jozef Haring (J)

Department of Neurology, Faculty Hospital Trnava, 917 75 Trnava, Slovakia.
Faculty of Medicine, Comenius University in Bratislava, 813 72 Bratislava, Slovakia.

Miroslav Mako (M)

Jessenius Medical Faculty in Martin, Comenius University in Bratislava, 036 01 Martin-Záturčie, Slovakia.
Department of Neurology, Faculty Hospital Trnava, 917 75 Trnava, Slovakia.

Viktória Mikulášková (V)

Department of Laboratory Medicine, Faculty of Health and Social Care, Trnava University in Trnava, 918 43 Trnava, Slovakia.

Vladimír Bošák (V)

Department of Laboratory Medicine, Faculty of Health and Social Care, Trnava University in Trnava, 918 43 Trnava, Slovakia.

Classifications MeSH