{"title":"中国普通人群皮肤自身荧光与冠心病的关系:一项横断面研究","authors":"Qingzheng Wu, Yu Cheng, Hongyan Liu, Yuepeng Wang, Bing Li, Yiming Mu","doi":"10.1111/1753-0407.70061","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>The aim of this study was to investigate the relationship between SAF and CHD in the general population of China and to assess the feasibility of SAF used as a predictor of CHD.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>This study was nested within the prospective study REACTION (Cancer Risk Assessment in Chinese Diabetic Population) which included a total of 5806 eligible participants from two communities located in urban Beijing in 2018. SAF were measured using a fluorescence detector (DM Scan). CHD was the study endpoint and was determined by a face-to-face clinical survey. Pearson's correlation analysis, linear regression analysis, and binary logistic regression analysis were used to examine the association between SAF and CHD.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>The overall prevalence of CHD in the general population was 12.1%. Logistic analysis showed that after full adjustment for confounding factors, the risk of CHD increased significantly with increasing lnSAF quartiles (<i>p</i>-trend < 0.05). Compared to Q1 group, the multivariate adjusted ORs of Q2 and Q3 groups were 1.071 (0.817, 1.404), 1.025 (0.781, 1.344), respectively, and the OR was markedly increased at Q4 (OR = 1.377 [1.043, 1.817]). When lnSAF was a continuous variable, the risk of CHD increased with the elevation of lnSAF level. Stratified analysis showed that in subgroups with overweight (24–28 kg/m<sup>2</sup>), eGFR < 60 mL/min/1.73 m<sup>2</sup>, and diabetes mellitus (DM), lnSAF was still significantly correlated with CHD.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>In Chinese general population, higher lnSAF is independently associated with increased risk of CHD, and noninvasive SAF holds the potential to be a biomarker for CHD risk evaluation and stratification.</p>\n </section>\n </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"17 3","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2025-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70061","citationCount":"0","resultStr":"{\"title\":\"Association Between Skin Autofluorescence and Coronary Heart Disease in Chinese General Population: A Cross-Sectional Study\",\"authors\":\"Qingzheng Wu, Yu Cheng, Hongyan Liu, Yuepeng Wang, Bing Li, Yiming Mu\",\"doi\":\"10.1111/1753-0407.70061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>The aim of this study was to investigate the relationship between SAF and CHD in the general population of China and to assess the feasibility of SAF used as a predictor of CHD.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>This study was nested within the prospective study REACTION (Cancer Risk Assessment in Chinese Diabetic Population) which included a total of 5806 eligible participants from two communities located in urban Beijing in 2018. SAF were measured using a fluorescence detector (DM Scan). CHD was the study endpoint and was determined by a face-to-face clinical survey. Pearson's correlation analysis, linear regression analysis, and binary logistic regression analysis were used to examine the association between SAF and CHD.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>The overall prevalence of CHD in the general population was 12.1%. Logistic analysis showed that after full adjustment for confounding factors, the risk of CHD increased significantly with increasing lnSAF quartiles (<i>p</i>-trend < 0.05). Compared to Q1 group, the multivariate adjusted ORs of Q2 and Q3 groups were 1.071 (0.817, 1.404), 1.025 (0.781, 1.344), respectively, and the OR was markedly increased at Q4 (OR = 1.377 [1.043, 1.817]). When lnSAF was a continuous variable, the risk of CHD increased with the elevation of lnSAF level. Stratified analysis showed that in subgroups with overweight (24–28 kg/m<sup>2</sup>), eGFR < 60 mL/min/1.73 m<sup>2</sup>, and diabetes mellitus (DM), lnSAF was still significantly correlated with CHD.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>In Chinese general population, higher lnSAF is independently associated with increased risk of CHD, and noninvasive SAF holds the potential to be a biomarker for CHD risk evaluation and stratification.</p>\\n </section>\\n </div>\",\"PeriodicalId\":189,\"journal\":{\"name\":\"Journal of Diabetes\",\"volume\":\"17 3\",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70061\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Diabetes\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/1753-0407.70061\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1753-0407.70061","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Association Between Skin Autofluorescence and Coronary Heart Disease in Chinese General Population: A Cross-Sectional Study
Objective
The aim of this study was to investigate the relationship between SAF and CHD in the general population of China and to assess the feasibility of SAF used as a predictor of CHD.
Methods
This study was nested within the prospective study REACTION (Cancer Risk Assessment in Chinese Diabetic Population) which included a total of 5806 eligible participants from two communities located in urban Beijing in 2018. SAF were measured using a fluorescence detector (DM Scan). CHD was the study endpoint and was determined by a face-to-face clinical survey. Pearson's correlation analysis, linear regression analysis, and binary logistic regression analysis were used to examine the association between SAF and CHD.
Results
The overall prevalence of CHD in the general population was 12.1%. Logistic analysis showed that after full adjustment for confounding factors, the risk of CHD increased significantly with increasing lnSAF quartiles (p-trend < 0.05). Compared to Q1 group, the multivariate adjusted ORs of Q2 and Q3 groups were 1.071 (0.817, 1.404), 1.025 (0.781, 1.344), respectively, and the OR was markedly increased at Q4 (OR = 1.377 [1.043, 1.817]). When lnSAF was a continuous variable, the risk of CHD increased with the elevation of lnSAF level. Stratified analysis showed that in subgroups with overweight (24–28 kg/m2), eGFR < 60 mL/min/1.73 m2, and diabetes mellitus (DM), lnSAF was still significantly correlated with CHD.
Conclusions
In Chinese general population, higher lnSAF is independently associated with increased risk of CHD, and noninvasive SAF holds the potential to be a biomarker for CHD risk evaluation and stratification.
期刊介绍:
Journal of Diabetes (JDB) devotes itself to diabetes research, therapeutics, and education. It aims to involve researchers and practitioners in a dialogue between East and West via all aspects of epidemiology, etiology, pathogenesis, management, complications and prevention of diabetes, including the molecular, biochemical, and physiological aspects of diabetes. The Editorial team is international with a unique mix of Asian and Western participation.
The Editors welcome submissions in form of original research articles, images, novel case reports and correspondence, and will solicit reviews, point-counterpoint, commentaries, editorials, news highlights, and educational content.