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

Author:

Pinčáková Katarína12ORCID,Krastev Georgi34ORCID,Haring Jozef45,Mako Miroslav34ORCID,Mikulášková Viktória1ORCID,Bošák Vladimír1ORCID

Affiliation:

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

2. Department of Haematology, Faculty Hospital Trnava, 917 75 Trnava, Slovakia

3. Jessenius Medical Faculty in Martin, Comenius University in Bratislava, 036 01 Martin-Záturčie, Slovakia

4. Department of Neurology, Faculty Hospital Trnava, 917 75 Trnava, Slovakia

5. Faculty of Medicine, Comenius University in Bratislava, 813 72 Bratislava, Slovakia

Abstract

Background. 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. 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. 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 P = 0.007 ). The value of 3.27 was chosen to be the optimal cut-off value of LMR. This value could predict the unfavourable clinical outcome with a 74.0% sensitivity and a 54.4% specificity. Conclusion. The LMR at the time of hospital admission is a predictor of an unfavourable clinical outcome at 3 months in AIS patients after MT.

Funder

University of Trnava

Publisher

Hindawi Limited

Subject

Neurology (clinical),Psychiatry and Mental health,Health Policy,Neuropsychology and Physiological Psychology

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