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Estimation of the LDL subclasses in ischemic stroke as a risk factor in a Chinese population
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 identi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664065/ https://www.ncbi.nlm.nih.gov/pubmed/33183255 http://dx.doi.org/10.1186/s12883-020-01989-6 |
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author | Duan, Ruisheng Xue, Wenjun Wang, Kunpeng Yin, Nan Hao, Hongyu Chu, Hongshan Wang, Lijun Meng, Peng Diao, Le |
author_facet | Duan, Ruisheng Xue, Wenjun Wang, Kunpeng Yin, Nan Hao, Hongyu Chu, Hongshan Wang, Lijun Meng, Peng Diao, Le |
author_sort | Duan, Ruisheng |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7664065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76640652020-11-13 Estimation of the LDL subclasses in ischemic stroke as a risk factor in a Chinese population Duan, Ruisheng Xue, Wenjun Wang, Kunpeng Yin, Nan Hao, Hongyu Chu, Hongshan Wang, Lijun Meng, Peng Diao, Le BMC Neurol Research Article 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. BioMed Central 2020-11-13 /pmc/articles/PMC7664065/ /pubmed/33183255 http://dx.doi.org/10.1186/s12883-020-01989-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Duan, Ruisheng Xue, Wenjun Wang, Kunpeng Yin, Nan Hao, Hongyu Chu, Hongshan Wang, Lijun Meng, Peng Diao, Le Estimation of the LDL subclasses in ischemic stroke as a risk factor in a Chinese population |
title | Estimation of the LDL subclasses in ischemic stroke as a risk factor in a Chinese population |
title_full | Estimation of the LDL subclasses in ischemic stroke as a risk factor in a Chinese population |
title_fullStr | Estimation of the LDL subclasses in ischemic stroke as a risk factor in a Chinese population |
title_full_unstemmed | Estimation of the LDL subclasses in ischemic stroke as a risk factor in a Chinese population |
title_short | Estimation of the LDL subclasses in ischemic stroke as a risk factor in a Chinese population |
title_sort | estimation of the ldl subclasses in ischemic stroke as a risk factor in a chinese population |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7664065/ https://www.ncbi.nlm.nih.gov/pubmed/33183255 http://dx.doi.org/10.1186/s12883-020-01989-6 |
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