Estimation of the LDL Subclasses in Ischemic Stroke as a Risk Factor in a Chinese population
Autor: | Lijun Wang, Le Diao, Hongyu Hao, Nan Yin, Hongshan Chu, Kunpeng Wang, Wenjun Xue, Peng Meng, Ruisheng Duan |
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Rok vydání: | 2020 |
Předmět: |
China
medicine.medical_specialty Neurology Blood lipids 030204 cardiovascular system & hematology Gastroenterology lcsh:RC346-429 03 medical and health sciences chemistry.chemical_compound 0302 clinical medicine Risk Factors Internal medicine medicine Humans Neurochemistry 030212 general & internal medicine Risk factor Cerebrovascular disease lcsh:Neurology. Diseases of the nervous system LDL subclasses Creatinine Ischemic stroke Triglyceride business.industry Cholesterol LDL General Medicine Small dense LDL Blood pressure chemistry Case-Control Studies lipids (amino acids peptides and proteins) Neurology (clinical) business Research Article |
Zdroj: | BMC Neurology, Vol 20, Iss 1, Pp 1-9 (2020) BMC Neurology |
Popis: | 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. |
Databáze: | OpenAIRE |
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