Tao Yang MD, PhD, Huijiao Cao MD, PhD, Xinyu Yuan MD, PhD
{"title":"体重指数正常的2型糖尿病患者心脏标志物、血浆动脉粥样硬化指数及心脏代谢指数对冠心病的预测价值","authors":"Tao Yang MD, PhD, Huijiao Cao MD, PhD, Xinyu Yuan MD, PhD","doi":"10.1016/j.amjms.2025.07.017","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Prior research has established type 2 diabetes mellitus (T2DM) as a risk factor for the onset of coronary heart disease (CHD). Nevertheless, the impact of abnormal lipid metabolism on the development of CHD in individuals with a normal body mass index (BMI) remains uncertain. The objective of our study was to examine risk factors for CHD in T2DM patients with normal BMI and construct predictive model.</div></div><div><h3>Methods</h3><div>Multivariate logistic and LASSO regression analyses were utilized to examine the independent risk factors associated with CHD. A calibration, decision curve analysis (DCA), and precision-recall (PR) curves were employed to assess the model’s goodness of fit.</div></div><div><h3>Results</h3><div>Seven independent risk factors, namely the duration of T2DM, FBG, HbA1c, NT-proBNP, sST2, AIP, and CMI, contributed to the development of CHD in T2DM patients with normal BMI by logistic and LASSO regression analysis. These factors were utilized to construct a robust and dependable nomogram model for predicting CHD risk with the likelihood-ratio test (χ<sup>2</sup> = 309.52; <em>P</em> < 0.001), C index (0.964; 95 % CI: 0.945 - 0.983; <em>P</em> < 0.001), and hosmer-lemeshow goodness fit (χ<sup>2</sup> = 3.7675; <em>P</em> = 0.878).</div></div><div><h3>Conclusions</h3><div>Our findings indicated that impaired lipid metabolism in T2DM patients with a normal BMI is closely linked to the onset of CHD. Effective management strategies, including strict glycemic control, vigilant monitoring of myocardial markers, and regulation of blood lipids and visceral fat, are essential for reducing the incidence of CHD in T2DM patients with normal BMI.</div></div>","PeriodicalId":55526,"journal":{"name":"American Journal of the Medical Sciences","volume":"370 5","pages":"Pages 428-435"},"PeriodicalIF":1.8000,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictive value of cardiac markers, atherogenic index of plasma and cardiometabolic index for coronary heart disease in type 2 diabetes mellitus patients with normal body mass index\",\"authors\":\"Tao Yang MD, PhD, Huijiao Cao MD, PhD, Xinyu Yuan MD, PhD\",\"doi\":\"10.1016/j.amjms.2025.07.017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Prior research has established type 2 diabetes mellitus (T2DM) as a risk factor for the onset of coronary heart disease (CHD). Nevertheless, the impact of abnormal lipid metabolism on the development of CHD in individuals with a normal body mass index (BMI) remains uncertain. The objective of our study was to examine risk factors for CHD in T2DM patients with normal BMI and construct predictive model.</div></div><div><h3>Methods</h3><div>Multivariate logistic and LASSO regression analyses were utilized to examine the independent risk factors associated with CHD. A calibration, decision curve analysis (DCA), and precision-recall (PR) curves were employed to assess the model’s goodness of fit.</div></div><div><h3>Results</h3><div>Seven independent risk factors, namely the duration of T2DM, FBG, HbA1c, NT-proBNP, sST2, AIP, and CMI, contributed to the development of CHD in T2DM patients with normal BMI by logistic and LASSO regression analysis. These factors were utilized to construct a robust and dependable nomogram model for predicting CHD risk with the likelihood-ratio test (χ<sup>2</sup> = 309.52; <em>P</em> < 0.001), C index (0.964; 95 % CI: 0.945 - 0.983; <em>P</em> < 0.001), and hosmer-lemeshow goodness fit (χ<sup>2</sup> = 3.7675; <em>P</em> = 0.878).</div></div><div><h3>Conclusions</h3><div>Our findings indicated that impaired lipid metabolism in T2DM patients with a normal BMI is closely linked to the onset of CHD. Effective management strategies, including strict glycemic control, vigilant monitoring of myocardial markers, and regulation of blood lipids and visceral fat, are essential for reducing the incidence of CHD in T2DM patients with normal BMI.</div></div>\",\"PeriodicalId\":55526,\"journal\":{\"name\":\"American Journal of the Medical Sciences\",\"volume\":\"370 5\",\"pages\":\"Pages 428-435\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2025-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of the Medical Sciences\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0002962925011358\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of the Medical Sciences","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0002962925011358","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
Predictive value of cardiac markers, atherogenic index of plasma and cardiometabolic index for coronary heart disease in type 2 diabetes mellitus patients with normal body mass index
Background
Prior research has established type 2 diabetes mellitus (T2DM) as a risk factor for the onset of coronary heart disease (CHD). Nevertheless, the impact of abnormal lipid metabolism on the development of CHD in individuals with a normal body mass index (BMI) remains uncertain. The objective of our study was to examine risk factors for CHD in T2DM patients with normal BMI and construct predictive model.
Methods
Multivariate logistic and LASSO regression analyses were utilized to examine the independent risk factors associated with CHD. A calibration, decision curve analysis (DCA), and precision-recall (PR) curves were employed to assess the model’s goodness of fit.
Results
Seven independent risk factors, namely the duration of T2DM, FBG, HbA1c, NT-proBNP, sST2, AIP, and CMI, contributed to the development of CHD in T2DM patients with normal BMI by logistic and LASSO regression analysis. These factors were utilized to construct a robust and dependable nomogram model for predicting CHD risk with the likelihood-ratio test (χ2 = 309.52; P < 0.001), C index (0.964; 95 % CI: 0.945 - 0.983; P < 0.001), and hosmer-lemeshow goodness fit (χ2 = 3.7675; P = 0.878).
Conclusions
Our findings indicated that impaired lipid metabolism in T2DM patients with a normal BMI is closely linked to the onset of CHD. Effective management strategies, including strict glycemic control, vigilant monitoring of myocardial markers, and regulation of blood lipids and visceral fat, are essential for reducing the incidence of CHD in T2DM patients with normal BMI.
期刊介绍:
The American Journal of The Medical Sciences (AJMS), founded in 1820, is the 2nd oldest medical journal in the United States. The AJMS is the official journal of the Southern Society for Clinical Investigation (SSCI). The SSCI is dedicated to the advancement of medical research and the exchange of knowledge, information and ideas. Its members are committed to mentoring future generations of medical investigators and promoting careers in academic medicine. The AJMS publishes, on a monthly basis, peer-reviewed articles in the field of internal medicine and its subspecialties, which include:
Original clinical and basic science investigations
Review articles
Online Images in the Medical Sciences
Special Features Include:
Patient-Centered Focused Reviews
History of Medicine
The Science of Medical Education.