{"title":"Changes in non-high-density lipoprotein to high-density lipoprotein ratio (NHHR) and cardiovascular disease: insights from CHARLS.","authors":"Bingxue Wang, LiYing Li, Ying Tang, Ting Lin, Jing Wu, Guoqi Wang, Xingwu Ran","doi":"10.1186/s12944-025-02536-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The established association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and cardiovascular disease (CVD) risk has been well-documented. Nevertheless, the relationship between changes in NHHR and CVD events remains to be elucidated. The present study aims to clarify the correlation between NHHR change patterns and the incidence of CVD across a broad population.</p><p><strong>Methods: </strong>The current study recruited participants from the China Health and Retirement Longitudinal Study (CHARLS). The NHHR index was calculated using the formula: NHHR = (TC-HDL-c)/HDL-c. Temporal changes in NHHR were assessed with latent profile analysis, and cumulative NHHR was also evaluated. Multivariable Cox proportional hazards regression models and multivariate-adjusted restricted cubic spline (RCS) analyses were employed to examine the association between the NHHR index and incident CVD.</p><p><strong>Results: </strong>A total of 4,629 individuals were recruited for the study. The average age of the participants was 57.47 years, with 53.7% being female. Over the follow-up period, 879 cases of CVD were documented. Compared to participants in the lowest tertile, those in the highest tertile for both baseline NHHR and cumulative NHHR exhibited a significantly increased risk of CVD, with adjusted hazard ratios (HRs) of 1.43 (95% confidence interval [CI]: 1.21-1.70) and 1.45 (95% CI: 1.23-1.72), respectively. Participants classified in Class 2 demonstrated a 27% higher risk of CVD, while those in Class 3 showed a 41% greater risk compared to the Class 1 group. Further analysis revealed that this relationship was linear. Stratified analyses corroborated the primary findings.</p><p><strong>Conclusion: </strong>Baseline NHHR, cumulative NHHR, and changes in NHHR are significantly associated with an increased risk of CVD among individuals aged 45 years and older, thereby confirming their potential as valuable tools for risk stratification in CVD.</p>","PeriodicalId":18073,"journal":{"name":"Lipids in Health and Disease","volume":"24 1","pages":"112"},"PeriodicalIF":3.9000,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11934592/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lipids in Health and Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12944-025-02536-3","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The established association between the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and cardiovascular disease (CVD) risk has been well-documented. Nevertheless, the relationship between changes in NHHR and CVD events remains to be elucidated. The present study aims to clarify the correlation between NHHR change patterns and the incidence of CVD across a broad population.
Methods: The current study recruited participants from the China Health and Retirement Longitudinal Study (CHARLS). The NHHR index was calculated using the formula: NHHR = (TC-HDL-c)/HDL-c. Temporal changes in NHHR were assessed with latent profile analysis, and cumulative NHHR was also evaluated. Multivariable Cox proportional hazards regression models and multivariate-adjusted restricted cubic spline (RCS) analyses were employed to examine the association between the NHHR index and incident CVD.
Results: A total of 4,629 individuals were recruited for the study. The average age of the participants was 57.47 years, with 53.7% being female. Over the follow-up period, 879 cases of CVD were documented. Compared to participants in the lowest tertile, those in the highest tertile for both baseline NHHR and cumulative NHHR exhibited a significantly increased risk of CVD, with adjusted hazard ratios (HRs) of 1.43 (95% confidence interval [CI]: 1.21-1.70) and 1.45 (95% CI: 1.23-1.72), respectively. Participants classified in Class 2 demonstrated a 27% higher risk of CVD, while those in Class 3 showed a 41% greater risk compared to the Class 1 group. Further analysis revealed that this relationship was linear. Stratified analyses corroborated the primary findings.
Conclusion: Baseline NHHR, cumulative NHHR, and changes in NHHR are significantly associated with an increased risk of CVD among individuals aged 45 years and older, thereby confirming their potential as valuable tools for risk stratification in CVD.
期刊介绍:
Lipids in Health and Disease is an open access, peer-reviewed, journal that publishes articles on all aspects of lipids: their biochemistry, pharmacology, toxicology, role in health and disease, and the synthesis of new lipid compounds.
Lipids in Health and Disease is aimed at all scientists, health professionals and physicians interested in the area of lipids. Lipids are defined here in their broadest sense, to include: cholesterol, essential fatty acids, saturated fatty acids, phospholipids, inositol lipids, second messenger lipids, enzymes and synthetic machinery that is involved in the metabolism of various lipids in the cells and tissues, and also various aspects of lipid transport, etc. In addition, the journal also publishes research that investigates and defines the role of lipids in various physiological processes, pathology and disease. In particular, the journal aims to bridge the gap between the bench and the clinic by publishing articles that are particularly relevant to human diseases and the role of lipids in the management of various diseases.