{"title":"中国成人高血压患者非传统血脂谱与 2 型糖尿病风险之间的关系:中国高血压登记研究的发现。","authors":"Yu Tao, Tao Wang, Wei Zhou, Lingjuan Zhu, Chao Yu, Juxiang Li, Huihui Bao, Xiaoshu Cheng","doi":"10.1111/jch.14927","DOIUrl":null,"url":null,"abstract":"<p><p>The relationship between nontraditional lipid profiles and type 2 diabetes mellitus (T2DM) remains ambiguous within the hypertension population. The objective of this study is to examine the association between nontraditional lipid profiles and T2DM in Chinese adults with hypertension. The current investigation encompassed 13 728 participants with hypertension from the China Hypertension Registry Study. Logistic regression analysis and smooth curve fitting were employed to evaluate the association between nontraditional lipid profiles and T2DM. The prevalence of T2DM was found to be 17.8%. In the fully adjusted model, atherogenic index of plasma (AIP) exhibited the highest odds ratios (ORs) for T2DM (OR: 2.71, 95% confidence interval [CI]: 2.26-3.26). Conversely, the fully adjusted ORs (95% CI) for total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C)/HDL-C, and non-high-density lipoprotein cholesterol (Non-HDL-C) were 1.33 (1.25-1.41), 1.40 (1.29-1.51), and 1.41 (1.34-1.49), respectively. Additionally, the study demonstrated that AIP had a superior ability to identify T2DM. Subgroup analyses indicated that the relationship between AIP and Non-HDL-C with T2DM was more significant in the lighter weight population. In addition, the association of TC/HDL-C with LDL-C/HDL-C with T2DM was stronger in the lower homocysteine level population. Among the southern Chinese population with hypertension, all nontraditional lipid indices positively correlated with the risk of T2DM. Among these lipid indices, AIP exhibited superior discriminatory power in identifying T2DM compared to TC/HDL-C, LDL-C/HDL-C. Trial Registration: ChiCTR1800017274.</p>","PeriodicalId":50237,"journal":{"name":"Journal of Clinical Hypertension","volume":" ","pages":""},"PeriodicalIF":2.7000,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association Between Nontraditional Lipid Profiles and the Risk of Type 2 Diabetes Mellitus in Chinese Adults With Hypertension: Findings From the China Hypertension Registry Study.\",\"authors\":\"Yu Tao, Tao Wang, Wei Zhou, Lingjuan Zhu, Chao Yu, Juxiang Li, Huihui Bao, Xiaoshu Cheng\",\"doi\":\"10.1111/jch.14927\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The relationship between nontraditional lipid profiles and type 2 diabetes mellitus (T2DM) remains ambiguous within the hypertension population. The objective of this study is to examine the association between nontraditional lipid profiles and T2DM in Chinese adults with hypertension. The current investigation encompassed 13 728 participants with hypertension from the China Hypertension Registry Study. Logistic regression analysis and smooth curve fitting were employed to evaluate the association between nontraditional lipid profiles and T2DM. The prevalence of T2DM was found to be 17.8%. In the fully adjusted model, atherogenic index of plasma (AIP) exhibited the highest odds ratios (ORs) for T2DM (OR: 2.71, 95% confidence interval [CI]: 2.26-3.26). Conversely, the fully adjusted ORs (95% CI) for total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C)/HDL-C, and non-high-density lipoprotein cholesterol (Non-HDL-C) were 1.33 (1.25-1.41), 1.40 (1.29-1.51), and 1.41 (1.34-1.49), respectively. Additionally, the study demonstrated that AIP had a superior ability to identify T2DM. Subgroup analyses indicated that the relationship between AIP and Non-HDL-C with T2DM was more significant in the lighter weight population. In addition, the association of TC/HDL-C with LDL-C/HDL-C with T2DM was stronger in the lower homocysteine level population. Among the southern Chinese population with hypertension, all nontraditional lipid indices positively correlated with the risk of T2DM. Among these lipid indices, AIP exhibited superior discriminatory power in identifying T2DM compared to TC/HDL-C, LDL-C/HDL-C. Trial Registration: ChiCTR1800017274.</p>\",\"PeriodicalId\":50237,\"journal\":{\"name\":\"Journal of Clinical Hypertension\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-11-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Clinical Hypertension\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1111/jch.14927\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PERIPHERAL VASCULAR DISEASE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Hypertension","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1111/jch.14927","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PERIPHERAL VASCULAR DISEASE","Score":null,"Total":0}
Association Between Nontraditional Lipid Profiles and the Risk of Type 2 Diabetes Mellitus in Chinese Adults With Hypertension: Findings From the China Hypertension Registry Study.
The relationship between nontraditional lipid profiles and type 2 diabetes mellitus (T2DM) remains ambiguous within the hypertension population. The objective of this study is to examine the association between nontraditional lipid profiles and T2DM in Chinese adults with hypertension. The current investigation encompassed 13 728 participants with hypertension from the China Hypertension Registry Study. Logistic regression analysis and smooth curve fitting were employed to evaluate the association between nontraditional lipid profiles and T2DM. The prevalence of T2DM was found to be 17.8%. In the fully adjusted model, atherogenic index of plasma (AIP) exhibited the highest odds ratios (ORs) for T2DM (OR: 2.71, 95% confidence interval [CI]: 2.26-3.26). Conversely, the fully adjusted ORs (95% CI) for total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C)/HDL-C, and non-high-density lipoprotein cholesterol (Non-HDL-C) were 1.33 (1.25-1.41), 1.40 (1.29-1.51), and 1.41 (1.34-1.49), respectively. Additionally, the study demonstrated that AIP had a superior ability to identify T2DM. Subgroup analyses indicated that the relationship between AIP and Non-HDL-C with T2DM was more significant in the lighter weight population. In addition, the association of TC/HDL-C with LDL-C/HDL-C with T2DM was stronger in the lower homocysteine level population. Among the southern Chinese population with hypertension, all nontraditional lipid indices positively correlated with the risk of T2DM. Among these lipid indices, AIP exhibited superior discriminatory power in identifying T2DM compared to TC/HDL-C, LDL-C/HDL-C. Trial Registration: ChiCTR1800017274.
期刊介绍:
The Journal of Clinical Hypertension is a peer-reviewed, monthly publication that serves internists, cardiologists, nephrologists, endocrinologists, hypertension specialists, primary care practitioners, pharmacists and all professionals interested in hypertension by providing objective, up-to-date information and practical recommendations on the full range of clinical aspects of hypertension. Commentaries and columns by experts in the field provide further insights into our original research articles as well as on major articles published elsewhere. Major guidelines for the management of hypertension are also an important feature of the Journal. Through its partnership with the World Hypertension League, JCH will include a new focus on hypertension and public health, including major policy issues, that features research and reviews related to disease characteristics and management at the population level.