Jorys Bueno , Alpha M. Diallo , Stéphane Jaisson , Jenny Fontaine , Céline Lukas , Romain Barriquand , Géraldine Vitellius , Philippe Gillery , Brigitte Delemer , Sara Barraud
{"title":"皮肤自身荧光预测心血管事件:DIABAGE随访研究","authors":"Jorys Bueno , Alpha M. Diallo , Stéphane Jaisson , Jenny Fontaine , Céline Lukas , Romain Barriquand , Géraldine Vitellius , Philippe Gillery , Brigitte Delemer , Sara Barraud","doi":"10.1016/j.diabet.2025.101682","DOIUrl":null,"url":null,"abstract":"<div><h3>Aim</h3><div>Advanced glycation end-products (AGEs) are known to play a role in the pathophysiology of type 1 diabetes (T1D) complications. The aim of this study was to assess the predictive value of AGEs indirectly evaluated by skin auto-fluorescence (SAF) on the occurrence of cardiovascular events (CVEs) in T1D.</div></div><div><h3>Methods</h3><div>We measured baseline SAF in T1D patients with at least 10 years history of diabetes and assessed incident CVEs. An optimum threshold of SAF was determined using ROC curve, and its predictive value was assessed by Cox proportional regression.</div></div><div><h3>Results</h3><div>The study included 179 patients, 53 % of whom were women. At baseline, the mean age was 47.7 ± 15.9 years, the mean duration of diabetes was 26.4 ± 12.2 years. Median HbA<sub>1c</sub> was 7.7 % (7.3–8.7) and median LDL cholesterol was 2.58 mmol/l (2.14–3.07). Median follow-up was 7.4 years (6.85 - 7.7) with 34 CVEs in 24 patients.</div><div>The median SAF level was 2.7 (2.3–3.1) in patients with incident CVEs and 2.1 (1.8–2.6) in patients without CVEs. The optimum threshold of SAF to differentiate patients with or without incident CVEs was 2.2. The occurrence of CVE was predicted by the optimum SAF threshold in the unadjusted model (HR 6.46), but also after adjustment with different models (HR 3.15–5.05).</div></div><div><h3>Conclusion</h3><div>SAF level is higher in people living with T1D who will present CVEs. Furthermore, SAF threshold of 2.2 predicted the occurrence of CVE. If these results are confirmed, SAF could be a useful marker in cardiovascular risk stratification in T1D.</div></div>","PeriodicalId":11334,"journal":{"name":"Diabetes & metabolism","volume":"51 5","pages":"Article 101682"},"PeriodicalIF":4.6000,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prediction of cardiovascular events by skin auto-fluorescence: the DIABAGE follow-up study\",\"authors\":\"Jorys Bueno , Alpha M. Diallo , Stéphane Jaisson , Jenny Fontaine , Céline Lukas , Romain Barriquand , Géraldine Vitellius , Philippe Gillery , Brigitte Delemer , Sara Barraud\",\"doi\":\"10.1016/j.diabet.2025.101682\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aim</h3><div>Advanced glycation end-products (AGEs) are known to play a role in the pathophysiology of type 1 diabetes (T1D) complications. The aim of this study was to assess the predictive value of AGEs indirectly evaluated by skin auto-fluorescence (SAF) on the occurrence of cardiovascular events (CVEs) in T1D.</div></div><div><h3>Methods</h3><div>We measured baseline SAF in T1D patients with at least 10 years history of diabetes and assessed incident CVEs. An optimum threshold of SAF was determined using ROC curve, and its predictive value was assessed by Cox proportional regression.</div></div><div><h3>Results</h3><div>The study included 179 patients, 53 % of whom were women. At baseline, the mean age was 47.7 ± 15.9 years, the mean duration of diabetes was 26.4 ± 12.2 years. Median HbA<sub>1c</sub> was 7.7 % (7.3–8.7) and median LDL cholesterol was 2.58 mmol/l (2.14–3.07). Median follow-up was 7.4 years (6.85 - 7.7) with 34 CVEs in 24 patients.</div><div>The median SAF level was 2.7 (2.3–3.1) in patients with incident CVEs and 2.1 (1.8–2.6) in patients without CVEs. The optimum threshold of SAF to differentiate patients with or without incident CVEs was 2.2. The occurrence of CVE was predicted by the optimum SAF threshold in the unadjusted model (HR 6.46), but also after adjustment with different models (HR 3.15–5.05).</div></div><div><h3>Conclusion</h3><div>SAF level is higher in people living with T1D who will present CVEs. Furthermore, SAF threshold of 2.2 predicted the occurrence of CVE. If these results are confirmed, SAF could be a useful marker in cardiovascular risk stratification in T1D.</div></div>\",\"PeriodicalId\":11334,\"journal\":{\"name\":\"Diabetes & metabolism\",\"volume\":\"51 5\",\"pages\":\"Article 101682\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-06-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diabetes & metabolism\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S126236362500076X\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes & metabolism","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S126236362500076X","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Prediction of cardiovascular events by skin auto-fluorescence: the DIABAGE follow-up study
Aim
Advanced glycation end-products (AGEs) are known to play a role in the pathophysiology of type 1 diabetes (T1D) complications. The aim of this study was to assess the predictive value of AGEs indirectly evaluated by skin auto-fluorescence (SAF) on the occurrence of cardiovascular events (CVEs) in T1D.
Methods
We measured baseline SAF in T1D patients with at least 10 years history of diabetes and assessed incident CVEs. An optimum threshold of SAF was determined using ROC curve, and its predictive value was assessed by Cox proportional regression.
Results
The study included 179 patients, 53 % of whom were women. At baseline, the mean age was 47.7 ± 15.9 years, the mean duration of diabetes was 26.4 ± 12.2 years. Median HbA1c was 7.7 % (7.3–8.7) and median LDL cholesterol was 2.58 mmol/l (2.14–3.07). Median follow-up was 7.4 years (6.85 - 7.7) with 34 CVEs in 24 patients.
The median SAF level was 2.7 (2.3–3.1) in patients with incident CVEs and 2.1 (1.8–2.6) in patients without CVEs. The optimum threshold of SAF to differentiate patients with or without incident CVEs was 2.2. The occurrence of CVE was predicted by the optimum SAF threshold in the unadjusted model (HR 6.46), but also after adjustment with different models (HR 3.15–5.05).
Conclusion
SAF level is higher in people living with T1D who will present CVEs. Furthermore, SAF threshold of 2.2 predicted the occurrence of CVE. If these results are confirmed, SAF could be a useful marker in cardiovascular risk stratification in T1D.
期刊介绍:
A high quality scientific journal with an international readership
Official publication of the SFD, Diabetes & Metabolism, publishes high-quality papers by leading teams, forming a close link between hospital and research units. Diabetes & Metabolism is published in English language and is indexed in all major databases with its impact factor constantly progressing.
Diabetes & Metabolism contains original articles, short reports and comprehensive reviews.