Monocytes to high-density lipoprotein cholesterol ratio predicts the early neurological deterioration and outcome in patients with acute anterior circulation ischemic stroke
10.3760/cma.j.issn.1673-4165.2022.10.004
- VernacularTitle:单核细胞与高密度脂蛋白胆固醇比值预测急性前循环缺血性卒中患者早期神经功能恶化和转归
- Author:
Jing ZHANG
1
;
Jianhua ZHAO
;
Jieyu BAO
;
Mengmeng CAI
;
Linlin CHAO
;
Dongbo LIU
Author Information
1. 新乡医学院，新乡 453003
- Keywords:
Stroke;
Brain ischemia;
Monocytes;
Lipoproteins, HDL;
Disease progression;
Treatment outcome
- From:
International Journal of Cerebrovascular Diseases
2022;30(10):738-744
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the monocyte to high-density lipoprotein cholesterol (HDL-C) ratio (MHR) for the predictive value of early neurological deterioration (END) and poor outcome in patients with acute anterior circulation ischemic stroke (AACIS).Methods:Patients with AACIS admitted to Henan Provincial People's Hospital from January 2021 to January 2022 were included retrospectively. END was defined as the National Institutes of Health Stroke Scale (NIHSS) score within 7 d of onset increase ≥2 compred with baseline or the increase of motor function score ≥1. The patients were divided into END group and non-END group according to the presence or absence of END. The patients were also divided into good outcome group (0-2 points) and poor outcome group (3-6 points) according to the modified Rankin Scale score 3 months after onset. Multivariate logistic regression analysis was used to determine the independent risk factors for END and poor outcome, and the predictive value of MHR for END and poor outcome was evaluated by receiver operating characteristic (ROC) curve. Results:A total of 522 patients were enrolled, including 338 male (64.8%), aged 61.99±11.39 years old. One hundred and five patients (20.1%) had END, 123 (23.6%) had poor outcome. Multivariate logistic regression analysis showed that baseline NIHSS score (odds ratio [ OR] 1.075, 95% confidence interval [ CI] 1.017-1.137; P=0.010) and MHR (with the lowest quartile as the reference, the third quartile: OR 2.778, 95% CI 1.255-6.151, P=0.012; the fourth quartile: OR 12.645, 95% CI 5.942-26.912; P<0.001) were the independent risk factors for END; the baseline NIHSS score ( OR 1.075, 95% CI 1.021-1.132; P=0.006), END ( OR 2.306, 95% CI 1.010-6.261; P=0.047) and MHR (with the first quartile as reference, the fourth quartile: OR 2.769, 95% CI 1.167-6.569; P=0.021) were the independent risk factors for poor outcomes. ROC curve analysis showed that area under the curve of MHR for predicting END and poor outcome in patients with AACIS were 0.805 (95% CI 0.750-0.860; P<0.001) and 0.747 (95% CI 0.690-0.803; P<0.001) respectively. The best cutoff value was 0.435, the sensitivity was 73.3% and 64.2%, and the specificity was 79.6% and 78.7% respectively. The area under the curve of MHR for predicting END and poor outcome was higher than that of monocyte and HDL-C alone. Conclusion:MHR can be used as a predictor of END and poor outcome in patients with AACIS, and its predictive value is higher than that of monocytes or HDL-C.
