血浆致动脉粥样硬化指数(AIP):2型糖尿病患者血脂指标中最准确的超重和肥胖指标--一项横断面研究的结果。

IF 2.7 Q3 ENDOCRINOLOGY & METABOLISM
Sahar Karimpour Reyhan, Amirhossein Yadegar, Sahar Samimi, Pooria Nakhaei, Alireza Esteghamati, Manouchehr Nakhjavani, Soheil Karimpour Reihan, Soghra Rabizadeh
{"title":"血浆致动脉粥样硬化指数(AIP):2型糖尿病患者血脂指标中最准确的超重和肥胖指标--一项横断面研究的结果。","authors":"Sahar Karimpour Reyhan,&nbsp;Amirhossein Yadegar,&nbsp;Sahar Samimi,&nbsp;Pooria Nakhaei,&nbsp;Alireza Esteghamati,&nbsp;Manouchehr Nakhjavani,&nbsp;Soheil Karimpour Reihan,&nbsp;Soghra Rabizadeh","doi":"10.1002/edm2.70007","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>This study aimed to evaluate the relationships of conventional and calculated lipid indices with obesity or overweight in patients with type 2 diabetes (T2D).</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>In this cross-sectional study, all participants were categorised into three groups: normal weight (18 ≤ BMI &lt; 25), overweight (25 ≤ BMI &lt; 30) and obese (BMI ≥ 30). Conventional lipid indices, including triglyceride (TG), total cholesterol, LDL-C and HDL-C, were measured. Lipid indices, including the atherogenic index of plasma (AIP), non-HDL-C, TC/HDL-C, LDL-C/HDL-C, non-HLD-C/HDL-C (atherogenic index, AI) and lipoprotein combine index (LCI), were calculated. The associations of these lipid indices with obesity and overweight status were evaluated using univariate and multivariate multinomial logistic regression analyses.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>In this study, 2661 patients with T2D, including 651 patients with normal weight, 1144 with overweight, and 866 with obesity, were recruited. According to a multinomial logistic regression analysis after adjustment for multiple confounders, the odds ratio (OR) was greater for the AIP than for other conventional and calculated lipid indices in overweight and obese patients with T2D. The AIP had a significant relationship with overweight, with an OR of 4.79 (95% CI: 1.65–13.85), and it had a significant relationship with obesity, with an OR of 13.64 (95% CI: 3.96–47.04). According to the ROC curve, with a cut-off value of 0.68, AIP could predict obesity with 82% sensitivity and 55% specificity (AUC = 0.770, 95% CI: 0.729–0.812, <i>p</i> &lt; 0.001).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>Compared with other conventional and calculated lipid markers, the AIP is most strongly associated with obesity and overweight in patients with T2D.</p>\n </section>\n </div>","PeriodicalId":36522,"journal":{"name":"Endocrinology, Diabetes and Metabolism","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11537723/pdf/","citationCount":"0","resultStr":"{\"title\":\"Atherogenic Index of Plasma (AIP): The Most Accurate Indicator of Overweight and Obesity Among Lipid Indices in Type 2 Diabetes—Findings From a Cross-Sectional Study\",\"authors\":\"Sahar Karimpour Reyhan,&nbsp;Amirhossein Yadegar,&nbsp;Sahar Samimi,&nbsp;Pooria Nakhaei,&nbsp;Alireza Esteghamati,&nbsp;Manouchehr Nakhjavani,&nbsp;Soheil Karimpour Reihan,&nbsp;Soghra Rabizadeh\",\"doi\":\"10.1002/edm2.70007\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>This study aimed to evaluate the relationships of conventional and calculated lipid indices with obesity or overweight in patients with type 2 diabetes (T2D).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>In this cross-sectional study, all participants were categorised into three groups: normal weight (18 ≤ BMI &lt; 25), overweight (25 ≤ BMI &lt; 30) and obese (BMI ≥ 30). Conventional lipid indices, including triglyceride (TG), total cholesterol, LDL-C and HDL-C, were measured. Lipid indices, including the atherogenic index of plasma (AIP), non-HDL-C, TC/HDL-C, LDL-C/HDL-C, non-HLD-C/HDL-C (atherogenic index, AI) and lipoprotein combine index (LCI), were calculated. The associations of these lipid indices with obesity and overweight status were evaluated using univariate and multivariate multinomial logistic regression analyses.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>In this study, 2661 patients with T2D, including 651 patients with normal weight, 1144 with overweight, and 866 with obesity, were recruited. According to a multinomial logistic regression analysis after adjustment for multiple confounders, the odds ratio (OR) was greater for the AIP than for other conventional and calculated lipid indices in overweight and obese patients with T2D. The AIP had a significant relationship with overweight, with an OR of 4.79 (95% CI: 1.65–13.85), and it had a significant relationship with obesity, with an OR of 13.64 (95% CI: 3.96–47.04). According to the ROC curve, with a cut-off value of 0.68, AIP could predict obesity with 82% sensitivity and 55% specificity (AUC = 0.770, 95% CI: 0.729–0.812, <i>p</i> &lt; 0.001).</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusion</h3>\\n \\n <p>Compared with other conventional and calculated lipid markers, the AIP is most strongly associated with obesity and overweight in patients with T2D.</p>\\n </section>\\n </div>\",\"PeriodicalId\":36522,\"journal\":{\"name\":\"Endocrinology, Diabetes and Metabolism\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11537723/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Endocrinology, Diabetes and Metabolism\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/edm2.70007\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Endocrinology, Diabetes and Metabolism","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/edm2.70007","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

摘要

背景本研究旨在评估常规血脂指数和计算血脂指数与 2 型糖尿病(T2D)患者肥胖或超重的关系:在这项横断面研究中,所有参与者被分为三组:体重正常组(18 ≤ BMI)、超重组(18 ≤ BMI)和肥胖组(18 ≤ BMI):在这项研究中,共招募了 2661 名 T2D 患者,包括 651 名正常体重患者、1144 名超重患者和 866 名肥胖患者。在对多种混杂因素进行调整后,根据多项式逻辑回归分析,在超重和肥胖的 T2D 患者中,AIP 的几率比(OR)大于其他常规和计算的血脂指数。AIP 与超重有显著关系,OR 为 4.79(95% CI:1.65-13.85),与肥胖有显著关系,OR 为 13.64(95% CI:3.96-47.04)。根据 ROC 曲线,在临界值为 0.68 时,AIP 预测肥胖的灵敏度为 82%,特异度为 55%(AUC = 0.770,95% CI:0.729-0.812,p 结论:AIP 与其他常规和计算的血脂指标相比,具有更高的灵敏度和特异度:与其他常规和计算得出的血脂指标相比,AIP 与 T2D 患者的肥胖和超重关系最为密切。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Atherogenic Index of Plasma (AIP): The Most Accurate Indicator of Overweight and Obesity Among Lipid Indices in Type 2 Diabetes—Findings From a Cross-Sectional Study

Atherogenic Index of Plasma (AIP): The Most Accurate Indicator of Overweight and Obesity Among Lipid Indices in Type 2 Diabetes—Findings From a Cross-Sectional Study

Background

This study aimed to evaluate the relationships of conventional and calculated lipid indices with obesity or overweight in patients with type 2 diabetes (T2D).

Methods

In this cross-sectional study, all participants were categorised into three groups: normal weight (18 ≤ BMI < 25), overweight (25 ≤ BMI < 30) and obese (BMI ≥ 30). Conventional lipid indices, including triglyceride (TG), total cholesterol, LDL-C and HDL-C, were measured. Lipid indices, including the atherogenic index of plasma (AIP), non-HDL-C, TC/HDL-C, LDL-C/HDL-C, non-HLD-C/HDL-C (atherogenic index, AI) and lipoprotein combine index (LCI), were calculated. The associations of these lipid indices with obesity and overweight status were evaluated using univariate and multivariate multinomial logistic regression analyses.

Results

In this study, 2661 patients with T2D, including 651 patients with normal weight, 1144 with overweight, and 866 with obesity, were recruited. According to a multinomial logistic regression analysis after adjustment for multiple confounders, the odds ratio (OR) was greater for the AIP than for other conventional and calculated lipid indices in overweight and obese patients with T2D. The AIP had a significant relationship with overweight, with an OR of 4.79 (95% CI: 1.65–13.85), and it had a significant relationship with obesity, with an OR of 13.64 (95% CI: 3.96–47.04). According to the ROC curve, with a cut-off value of 0.68, AIP could predict obesity with 82% sensitivity and 55% specificity (AUC = 0.770, 95% CI: 0.729–0.812, p < 0.001).

Conclusion

Compared with other conventional and calculated lipid markers, the AIP is most strongly associated with obesity and overweight in patients with T2D.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Endocrinology, Diabetes and Metabolism
Endocrinology, Diabetes and Metabolism Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
5.00
自引率
0.00%
发文量
66
审稿时长
6 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信