Association between carotid intima media thickness and small dense low-density lipoprotein cholesterol in acute ischaemic stroke

Autor: Wenmin Feng, Jincheng Liu, Lingyun Wang, Yan Shen, Lijun Wang, Peiyang Zhou, Wang-Yang Xu, Zhihua Cao, Jinbo Yang, Peng Meng, Gao Ping
Rok vydání: 2020
Předmět:
Male
Endocrinology
Diabetes and Metabolism
Clinical Biochemistry
030204 cardiovascular system & hematology
Logistic regression
Carotid Intima-Media Thickness
Brain Ischemia
0302 clinical medicine
Endocrinology
Risk Factors
Independent risk factor
030212 general & internal medicine
lcsh:RC620-627
Stroke
education.field_of_study
Acute ischaemic stroke risk
Carotid ultrasonography
Middle Aged
Prognosis
musculoskeletal system
Carotid plaque
Plaque
Atherosclerotic
lcsh:Nutritional diseases. Deficiency diseases
Carotid Arteries
cardiovascular system
Cardiology
Female
Lipidology
Adult
medicine.medical_specialty
Logistic regression model
Population
Clinical nutrition
03 medical and health sciences
Internal medicine
medicine
Humans
cardiovascular diseases
Risk factor
education
Triglycerides
Small dense low-density lipoprotein cholesterol
Ischemic Stroke
Retrospective Studies
business.industry
Research
Biochemistry (medical)
Cholesterol
LDL
Atherosclerosis
medicine.disease
Intima media thickness
Logistic Models
Intima-media thickness
business
Zdroj: Lipids in Health and Disease, Vol 19, Iss 1, Pp 1-10 (2020)
Lipids in Health and Disease
ISSN: 1476-511X
Popis: Background Intima-media thickness (IMT) and small dense low-density lipoprotein cholesterol (sdLDL-C) have been reported to be related to atherosclerosis and stroke. This study is trying to explore the association between IMT and sdLDL-C in Chinese acute ischaemic stroke (AIS) subjects. Methods This study enrolled total 368 consecutive AIS patients and 165 non-AIS controls from November 2016 to February 2019. Mean IMT and carotid plaques were measured by using carotid ultrasonography method. Blood glucose and lipid parameters were measured by using an automatic biochemical instrument. SdLDL-C was detected by using the Lipoprint LDL system. IMT > 1.0 mm was defined as increased IMT. Plaque stability based on the nature of the echo was determined by ultrasound examination. Risk factors for IMT were identified by using multivariate logistic regression analysis. A logistic regression model was established to predict AIS risk. Python software (Version 3.6) was used for the statistical analysis of all data. Results The carotid IMT, proportion of plaques, and the sdLDL-C, triglycerides (TG) and glucose levels were obviously higher in AIS patients than those in controls. SdLDL-C level in the IMT thickening group was higher than that in the normal IMT group. SdLDL-C and total cholesterol (TC) were risk factors for IMT, while sdLDL-C was an independent risk factor. The IMT value of the unstable plaque group was markedly higher than that of the stable plaque group. The predictive value of IMT for AIS was better than that of low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein cholesterol (non-HDL-C) but not as good as that of sdLDL-C. A logistic regression model was established to predict AIS risk. Additionally, carotid IMT and sdLDL-C were closely related to AIS severity and outcomes. Conclusions SdLDL-C and TC were risk factors for increased IMT, while sdLDL-C was an independent risk factor. A prediction model based on IMT and other variables was established to screen the population with high AIS risk.
Databáze: OpenAIRE
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