Cargando…
Predictive value of small dense low-density lipoprotein cholesterol for cardiovascular events in Chinese elder diabetes mellitus patients
BACKGROUND: As a subcomponent of low-density lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C) has been suggested to be a better predictor of cardiovascular diseases (CVD). The aim of this research was to evaluate the predictive value of the sdLDL-C in cardiovascular events (CVs) in Chine...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082667/ https://www.ncbi.nlm.nih.gov/pubmed/33910639 http://dx.doi.org/10.1186/s13098-021-00667-y |
_version_ | 1783685885368205312 |
---|---|
author | Xu, Li Chen, Xu Lu, Jingfen Xu, Yan Yang, Honglin Zhou, Xuewen Zhou, Jun Xu, Jianhong Shen, Hao |
author_facet | Xu, Li Chen, Xu Lu, Jingfen Xu, Yan Yang, Honglin Zhou, Xuewen Zhou, Jun Xu, Jianhong Shen, Hao |
author_sort | Xu, Li |
collection | PubMed |
description | BACKGROUND: As a subcomponent of low-density lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C) has been suggested to be a better predictor of cardiovascular diseases (CVD). The aim of this research was to evaluate the predictive value of the sdLDL-C in cardiovascular events (CVs) in Chinese elderly patients with type 2 diabetes mellitus (DM). METHODS: A total of 386 consecutive type 2 DM patients were included into this study during December 2014 to December 2016. The serum sdLDL-C level of each subject was measured by homogeneous method. During a period of 48-month’s follow-up, the occurrence of CVs and associated clinical information were recorded. Receiver operating characteristic (ROC) curves were used to assess the predictive value of serum sdLDL-C to occurrence of major CVs. RESULTS: A total of 92 CVs occurred during the study period. The ROC curve analysis manifested that sdLDL-C in the study population had a matchable discriminatory power (AUC for sdLDL-C was 0.7366, P = 0.003). In addition, Kaplan-Meier event-free survival curves displayed an obvious increase of CVs risk for sdLDL‐C ≧ 26 mg/dL (log-rank = 9.10, P = 0.003). This phenomenon had analogous results in patients who received statins at baseline (log rank = 7.336, P = 0.007). Cox regression analysis revealed that the increase in HbA1c, glucose, LDL-C, sdLDL-C, non-high-density lipoprotein cholesterol (non-HDL-C) and apolipoprotein B (ApoB) and the decrease in apolipoprotein AI (ApoAI) were obviously interrelated with heightened CVs risk. Multiple Cox regression demonstrated that the increase of sdLDL-C and hemoglobin A1c (HbA1c) was significantly correlated with CVs. The results of the study indicated that high sdLDL-C level (> 10 mg/dL) was a risk factor for CVs in the multivariate model (HR 1.281, 95% CI 1.225–16.032; P < 0.01). CONCLUSION: sdLDL-C level could be an effective predictor in predicting the future CVs for Chinese elderly patients with type 2 DM and dyslipidemia. |
format | Online Article Text |
id | pubmed-8082667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80826672021-04-29 Predictive value of small dense low-density lipoprotein cholesterol for cardiovascular events in Chinese elder diabetes mellitus patients Xu, Li Chen, Xu Lu, Jingfen Xu, Yan Yang, Honglin Zhou, Xuewen Zhou, Jun Xu, Jianhong Shen, Hao Diabetol Metab Syndr Research BACKGROUND: As a subcomponent of low-density lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C) has been suggested to be a better predictor of cardiovascular diseases (CVD). The aim of this research was to evaluate the predictive value of the sdLDL-C in cardiovascular events (CVs) in Chinese elderly patients with type 2 diabetes mellitus (DM). METHODS: A total of 386 consecutive type 2 DM patients were included into this study during December 2014 to December 2016. The serum sdLDL-C level of each subject was measured by homogeneous method. During a period of 48-month’s follow-up, the occurrence of CVs and associated clinical information were recorded. Receiver operating characteristic (ROC) curves were used to assess the predictive value of serum sdLDL-C to occurrence of major CVs. RESULTS: A total of 92 CVs occurred during the study period. The ROC curve analysis manifested that sdLDL-C in the study population had a matchable discriminatory power (AUC for sdLDL-C was 0.7366, P = 0.003). In addition, Kaplan-Meier event-free survival curves displayed an obvious increase of CVs risk for sdLDL‐C ≧ 26 mg/dL (log-rank = 9.10, P = 0.003). This phenomenon had analogous results in patients who received statins at baseline (log rank = 7.336, P = 0.007). Cox regression analysis revealed that the increase in HbA1c, glucose, LDL-C, sdLDL-C, non-high-density lipoprotein cholesterol (non-HDL-C) and apolipoprotein B (ApoB) and the decrease in apolipoprotein AI (ApoAI) were obviously interrelated with heightened CVs risk. Multiple Cox regression demonstrated that the increase of sdLDL-C and hemoglobin A1c (HbA1c) was significantly correlated with CVs. The results of the study indicated that high sdLDL-C level (> 10 mg/dL) was a risk factor for CVs in the multivariate model (HR 1.281, 95% CI 1.225–16.032; P < 0.01). CONCLUSION: sdLDL-C level could be an effective predictor in predicting the future CVs for Chinese elderly patients with type 2 DM and dyslipidemia. BioMed Central 2021-04-28 /pmc/articles/PMC8082667/ /pubmed/33910639 http://dx.doi.org/10.1186/s13098-021-00667-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Xu, Li Chen, Xu Lu, Jingfen Xu, Yan Yang, Honglin Zhou, Xuewen Zhou, Jun Xu, Jianhong Shen, Hao Predictive value of small dense low-density lipoprotein cholesterol for cardiovascular events in Chinese elder diabetes mellitus patients |
title | Predictive value of small dense low-density lipoprotein cholesterol for cardiovascular events in Chinese elder diabetes mellitus patients |
title_full | Predictive value of small dense low-density lipoprotein cholesterol for cardiovascular events in Chinese elder diabetes mellitus patients |
title_fullStr | Predictive value of small dense low-density lipoprotein cholesterol for cardiovascular events in Chinese elder diabetes mellitus patients |
title_full_unstemmed | Predictive value of small dense low-density lipoprotein cholesterol for cardiovascular events in Chinese elder diabetes mellitus patients |
title_short | Predictive value of small dense low-density lipoprotein cholesterol for cardiovascular events in Chinese elder diabetes mellitus patients |
title_sort | predictive value of small dense low-density lipoprotein cholesterol for cardiovascular events in chinese elder diabetes mellitus patients |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8082667/ https://www.ncbi.nlm.nih.gov/pubmed/33910639 http://dx.doi.org/10.1186/s13098-021-00667-y |
work_keys_str_mv | AT xuli predictivevalueofsmalldenselowdensitylipoproteincholesterolforcardiovasculareventsinchineseelderdiabetesmellituspatients AT chenxu predictivevalueofsmalldenselowdensitylipoproteincholesterolforcardiovasculareventsinchineseelderdiabetesmellituspatients AT lujingfen predictivevalueofsmalldenselowdensitylipoproteincholesterolforcardiovasculareventsinchineseelderdiabetesmellituspatients AT xuyan predictivevalueofsmalldenselowdensitylipoproteincholesterolforcardiovasculareventsinchineseelderdiabetesmellituspatients AT yanghonglin predictivevalueofsmalldenselowdensitylipoproteincholesterolforcardiovasculareventsinchineseelderdiabetesmellituspatients AT zhouxuewen predictivevalueofsmalldenselowdensitylipoproteincholesterolforcardiovasculareventsinchineseelderdiabetesmellituspatients AT zhoujun predictivevalueofsmalldenselowdensitylipoproteincholesterolforcardiovasculareventsinchineseelderdiabetesmellituspatients AT xujianhong predictivevalueofsmalldenselowdensitylipoproteincholesterolforcardiovasculareventsinchineseelderdiabetesmellituspatients AT shenhao predictivevalueofsmalldenselowdensitylipoproteincholesterolforcardiovasculareventsinchineseelderdiabetesmellituspatients |