Clinical Researches
Low-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio predicts asymptomatic carotid plaques and their stability in high-risk stroke population
Zhang Jianyu, Shi Hui, Chen Huipin, Zhang Chuantong, Dong Xingjin, Liu Linji, Wang Guangxing, Wang Jingjian, Guan Zide, Tian Xiaoping, Han Jianming, Shi Ying, Tang Yi, He Mingli
Published 2019-02-28
Cite as Int J Cerebrovasc Dis, 2019,27(2): 104-112. DOI: 10.3760/cma.j.issn.1673-4165.2019.02.004
Abstract
ObjectiveTo investigate the relationship between low-density lipoprotein cholesterol/high-density lipoprotein cholesterol ratio (LHR) and asymptomatic carotid plaques and their stability in high-risk stroke population.
MethodsBetween December 2012 and April 2015, a total of 39 944 permanent resident population ≥40 years were used as subjects of the survey from 11 rural communities in Haitou Town, Banzhuang Town and Tashan Town, Ganyu District, and 9 urban communities in Xinpu District and Haizhou District, Lianyungang City using epidemiological survey method of cluster sampling. Excluding those who took lipid-lowering drugs within 3 months and had a history of stroke or transient ischemic attack, 6 592 people at high risk of stroke were finally screened out. Ultrasound was used to detect carotid plaques. The subjects were divided into plaque-free group and plaque group. The latter was further divided into stable plaque group and unstable plaque group. Multivariate logistic regression analysis was used to evaluate the independent risk factor for carotid plaques and their stability. The odds ratio (OR) and 95% confidence interval (CI) were calculated. Receiver Operating Characteristic (ROC) curve was used to evaluate the prediction efficiency of LHR on carotid plaques.
ResultsMultivariate logistic regression analysis showed that low-density lipoprotein cholesterol (LDL-C) was an independent risk factor for carotid plaques, while high-density lipoprotein cholesterol (HDL-C) was an independent protection factor of carotid plaques. Using the lowest quintile (Q1) of LHR as a reference, carotid plaque risk increased significantly with the increasing LHR (Q2: OR 1.448, 95% CI 1.082-1.937, P=0.013; Q3: OR 2.414, 95% CI 1.754-3.322, P<0.001; Q4: OR 2.939, 95% CI 1.945-4.441, P<0.001; Q5: OR 4.884, 95% CI 3.143-7.115, P<0.001). ROC curve analysis showed that the area under the curve (AUC) of LHR predicting carotid plaques was 0.795 (95% CI 0.792-0.807; P<0.001), and the optimal cut-off value was 3.00 (sensitivity 68.37%, specificity 75.65%). LHR ≥3.92 (LHR in the Q4 and Q5 subgroups) was an independent risk factor for unstable carotid plaques (OR 2.915, 95% CI 2.104-4.040; P<0.001). The AUC of the LHR predicting unstable carotid plaques was 0.658 (95% CI 0.633-0.684; P<0.001).
ConclusionsLHR was an independent predictor of carotid plaques in high-risk stroke patients. It had higher predictive value for carotid plaques, and its conversion threshold for promoting plaque formation was 3.00. When LHR was ≥3.92, there was a significant increase in the risk of unstable carotid plaques.
Key words:
Atherosclerosis; Plaque, atherosclerotic; Carotid arteries; Cholesterol, high-density lipoprotein cholesterol; Cholesterol, low-density lipoprotein cholesterol; Biomarkers
Contributor Information
Zhang Jianyu
Department of Neurology, the Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang 222002, China
Shi Hui
Department of Neurosurgery, the Second People's Hospital of Lianyungang, Lianyungang 222002, China
Chen Huipin
Medical Department, the Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang 222002, China
Zhang Chuantong
Health and Family Planning Commission, Ganyu District, Lianyungang 222002, China
Dong Xingjin
Banzhuang Health Center, Ganyu District, Lianyungang 222002, China
Liu Linji
Tashan Health Center, Ganyu District, Lianyungang 222002, China
Wang Guangxing
Haitou Health Center, Ganyu District, Lianyungang 222002, China
Wang Jingjian
Xinpu District Health Service Center, Lianyungang 222002, China
Guan Zide
Haizhou District Health Service Center, Lianyungang 222002, China
Tian Xiaoping
Department of Clinical Laboratory, the Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang 222002, China
Han Jianming
Department of Ultrasound, the Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang 222002, China
Shi Ying
Department of Neurology, the Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang 222002, China
Tang Yi
Department of Neurology, the Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang 222002, China
He Mingli
Department of Neurology, the Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang 222002, China