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BMC Neurology

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Open Access 01-12-2020 | Stroke | Research article

Estimation of the LDL subclasses in ischemic stroke as a risk factor in a Chinese population

Authors: Ruisheng Duan, Wenjun Xue, Kunpeng Wang, Nan Yin, Hongyu Hao, Hongshan Chu, Lijun Wang, Peng Meng, Le Diao

Published in: BMC Neurology | Issue 1/2020

Abstract

Background

Acute ischemic stroke (AIS) is one of the leading causes of mortality and long-term disability worldwide. Our study aims to clarify the role of low-density lipoproteins (LDL) subclasses in the occurrence of AIS and develop a risk xprediction model based on these characteristics to identify high-risk people.

Methods

Five hundred and sixty-six patients with AIS and 197 non-AIS controls were included in this study. Serum lipids and other baseline characteristics including fasting blood glucose (GLU), serum creatinine (Scr), and blood pressure were investigated in relation to occurrence of AIS. The LDL subfractions were classified and measured with the Lipoprint System by a polyacrylamide gel electrophoresis technique.

Results

Levels of LDL-3, LDL-4 and LDL-5 subclasses were significantly higher in the AIS group compared to the non-AIS group and lower level of LDL-1 was prevalent in the AIS patients. Consistently, Spearman correlation coefficient demonstrated that sd-demonevels, especially LDL-3 and LDL-4 levels, were significantly positively correlated with AIS. Furthermore, there is a significant positive correlation between small dense LDL (sd-LDL, that is LDL-3 to 7) levels and serum lipids including total cholesterol (TC), Low density lipoprotein cholesterol (LDL-C), and Triglyceride (TG). Increased LDL-3 and LDL-4 as well as decreased LDL-1 and LDL-2 were correlated to the occurrence of AIS, even in the people with normal LDL-C levels. A new prediction model including 12 variables can accurately predict the AIS risk in Chinese patients (AUC = 0.82 ± 0.04).

Conclusions

Levels of LDL subclasses should be considered in addition to serum LDL-C in assessment and management of AIS. A new prediction model based on clinical variables including LDL subtractions can help clinicians identify high of AIS, even in the people with norm.

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Title: Estimation of the LDL subclasses in ischemic stroke as a risk factor in a Chinese population
Authors: Ruisheng Duan
Wenjun Xue
Kunpeng Wang
Nan Yin
Hongyu Hao
Hongshan Chu
Lijun Wang
Peng Meng
Le Diao
Publication date: 01-12-2020
Publisher: BioMed Central
Keyword: Stroke
Published in: BMC Neurology / Issue 1/2020
Electronic ISSN: 1471-2377
DOI: https://doi.org/10.1186/s12883-020-01989-6

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Estimation of the LDL subclasses in ischemic stroke as a risk factor in a Chinese population

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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