Cargando…

Particles and corrected particles of LDL and non-HDL are stronger predicters of coronary lesion in postmenopausal women

BACKGROUND: The optimum lipid indexes, predicting the coronary lesion in postmenopausal women are not clear. OBJECTIVE: To evaluate the optimum lipid predicter for coronary lesion in routine and advanced lipid tests. METHOD: 300 postmenopausal women were enrolled and assigned into coronary heart dis...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Chuang, Chen, Jingxun, Wei, Siyue, Zhang, Mei, Chu, Yushun, Meng, Fanpeng, Wang, Jianyu, Tang, Jie, Luo, Jian, Yang, Yu, Niu, Xiulong, Cai, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327454/
https://www.ncbi.nlm.nih.gov/pubmed/34340681
http://dx.doi.org/10.1186/s12872-021-02189-x
_version_ 1783732080618766336
author Li, Chuang
Chen, Jingxun
Wei, Siyue
Zhang, Mei
Chu, Yushun
Meng, Fanpeng
Wang, Jianyu
Tang, Jie
Luo, Jian
Yang, Yu
Niu, Xiulong
Cai, Wei
author_facet Li, Chuang
Chen, Jingxun
Wei, Siyue
Zhang, Mei
Chu, Yushun
Meng, Fanpeng
Wang, Jianyu
Tang, Jie
Luo, Jian
Yang, Yu
Niu, Xiulong
Cai, Wei
author_sort Li, Chuang
collection PubMed
description BACKGROUND: The optimum lipid indexes, predicting the coronary lesion in postmenopausal women are not clear. OBJECTIVE: To evaluate the optimum lipid predicter for coronary lesion in routine and advanced lipid tests. METHOD: 300 postmenopausal women were enrolled and assigned into coronary heart disease (CHD) Group (242), and non-CHD Group (58). Routine and advanced lipid indexes were measured with standard laboratory test and nuclear magnetic resonance (NMR) spectroscopy. The correlation and predictivities for CHD of routine and advanced lipid indexes were performed with Logistic regression, Spearman correlation analysis and receiver operating characteristic (ROC). RESULTS: Age (hazard ratio (HR) 2.58, 95% confidence interval (CI) 1.08–5.86, P = 0.03), apolipoprotein B (ApoB) (HR 1.35, 95% CI 1.15–1.59, P < 0.001), corrected particles of low-density lipoprotein (LDL-p-corr) (HR 1.05, 95% CI 1.03–1.06, P < 0.001) and corrected particles of non-high-density lipoprotein (non-HDL-p-corr) (HR 1.02, 95% CI 1.01–1.03, P < 0.001) were the risk factors of CHD. LDL cholesterol (LDL-C), LDL-p, LDL-p-corr, HDL cholesterol (HDL-C), non-HDL cholesterol (non-HDL-C), non-HDL-p and non-HDL-p-corr were in linear correlation with Gensini score. Advanced lipid indexes LDL-p (area under curve (AUC) = 0.750, P = 0.02), LDL-p-corr (AUC = 0.759, P = 0.02), non-HDL-p (AUC = 0.693, P = 0.03) and non-HDL-p-corr (AUC = 0.699, P = 0.03) were more predictive for CHD than the routine ones (LDL-C and non-HDL-C). CONCLUSION: In postmenopausal women, age, ApoB, LDL-p-corr and non-HDL-p-corr were risk factors of CHD. Compared with traditional lipid items, LDL-p, LDL-p-corr, non-HDL-p and non-HDL-p-corr may be better lipid indexes for CHD in postmenopausal women.
format Online
Article
Text
id pubmed-8327454
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-83274542021-08-03 Particles and corrected particles of LDL and non-HDL are stronger predicters of coronary lesion in postmenopausal women Li, Chuang Chen, Jingxun Wei, Siyue Zhang, Mei Chu, Yushun Meng, Fanpeng Wang, Jianyu Tang, Jie Luo, Jian Yang, Yu Niu, Xiulong Cai, Wei BMC Cardiovasc Disord Research BACKGROUND: The optimum lipid indexes, predicting the coronary lesion in postmenopausal women are not clear. OBJECTIVE: To evaluate the optimum lipid predicter for coronary lesion in routine and advanced lipid tests. METHOD: 300 postmenopausal women were enrolled and assigned into coronary heart disease (CHD) Group (242), and non-CHD Group (58). Routine and advanced lipid indexes were measured with standard laboratory test and nuclear magnetic resonance (NMR) spectroscopy. The correlation and predictivities for CHD of routine and advanced lipid indexes were performed with Logistic regression, Spearman correlation analysis and receiver operating characteristic (ROC). RESULTS: Age (hazard ratio (HR) 2.58, 95% confidence interval (CI) 1.08–5.86, P = 0.03), apolipoprotein B (ApoB) (HR 1.35, 95% CI 1.15–1.59, P < 0.001), corrected particles of low-density lipoprotein (LDL-p-corr) (HR 1.05, 95% CI 1.03–1.06, P < 0.001) and corrected particles of non-high-density lipoprotein (non-HDL-p-corr) (HR 1.02, 95% CI 1.01–1.03, P < 0.001) were the risk factors of CHD. LDL cholesterol (LDL-C), LDL-p, LDL-p-corr, HDL cholesterol (HDL-C), non-HDL cholesterol (non-HDL-C), non-HDL-p and non-HDL-p-corr were in linear correlation with Gensini score. Advanced lipid indexes LDL-p (area under curve (AUC) = 0.750, P = 0.02), LDL-p-corr (AUC = 0.759, P = 0.02), non-HDL-p (AUC = 0.693, P = 0.03) and non-HDL-p-corr (AUC = 0.699, P = 0.03) were more predictive for CHD than the routine ones (LDL-C and non-HDL-C). CONCLUSION: In postmenopausal women, age, ApoB, LDL-p-corr and non-HDL-p-corr were risk factors of CHD. Compared with traditional lipid items, LDL-p, LDL-p-corr, non-HDL-p and non-HDL-p-corr may be better lipid indexes for CHD in postmenopausal women. BioMed Central 2021-08-02 /pmc/articles/PMC8327454/ /pubmed/34340681 http://dx.doi.org/10.1186/s12872-021-02189-x 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
Li, Chuang
Chen, Jingxun
Wei, Siyue
Zhang, Mei
Chu, Yushun
Meng, Fanpeng
Wang, Jianyu
Tang, Jie
Luo, Jian
Yang, Yu
Niu, Xiulong
Cai, Wei
Particles and corrected particles of LDL and non-HDL are stronger predicters of coronary lesion in postmenopausal women
title Particles and corrected particles of LDL and non-HDL are stronger predicters of coronary lesion in postmenopausal women
title_full Particles and corrected particles of LDL and non-HDL are stronger predicters of coronary lesion in postmenopausal women
title_fullStr Particles and corrected particles of LDL and non-HDL are stronger predicters of coronary lesion in postmenopausal women
title_full_unstemmed Particles and corrected particles of LDL and non-HDL are stronger predicters of coronary lesion in postmenopausal women
title_short Particles and corrected particles of LDL and non-HDL are stronger predicters of coronary lesion in postmenopausal women
title_sort particles and corrected particles of ldl and non-hdl are stronger predicters of coronary lesion in postmenopausal women
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8327454/
https://www.ncbi.nlm.nih.gov/pubmed/34340681
http://dx.doi.org/10.1186/s12872-021-02189-x
work_keys_str_mv AT lichuang particlesandcorrectedparticlesofldlandnonhdlarestrongerpredictersofcoronarylesioninpostmenopausalwomen
AT chenjingxun particlesandcorrectedparticlesofldlandnonhdlarestrongerpredictersofcoronarylesioninpostmenopausalwomen
AT weisiyue particlesandcorrectedparticlesofldlandnonhdlarestrongerpredictersofcoronarylesioninpostmenopausalwomen
AT zhangmei particlesandcorrectedparticlesofldlandnonhdlarestrongerpredictersofcoronarylesioninpostmenopausalwomen
AT chuyushun particlesandcorrectedparticlesofldlandnonhdlarestrongerpredictersofcoronarylesioninpostmenopausalwomen
AT mengfanpeng particlesandcorrectedparticlesofldlandnonhdlarestrongerpredictersofcoronarylesioninpostmenopausalwomen
AT wangjianyu particlesandcorrectedparticlesofldlandnonhdlarestrongerpredictersofcoronarylesioninpostmenopausalwomen
AT tangjie particlesandcorrectedparticlesofldlandnonhdlarestrongerpredictersofcoronarylesioninpostmenopausalwomen
AT luojian particlesandcorrectedparticlesofldlandnonhdlarestrongerpredictersofcoronarylesioninpostmenopausalwomen
AT yangyu particlesandcorrectedparticlesofldlandnonhdlarestrongerpredictersofcoronarylesioninpostmenopausalwomen
AT niuxiulong particlesandcorrectedparticlesofldlandnonhdlarestrongerpredictersofcoronarylesioninpostmenopausalwomen
AT caiwei particlesandcorrectedparticlesofldlandnonhdlarestrongerpredictersofcoronarylesioninpostmenopausalwomen