Lucile Accoceberry , Uazman Alam , Grégoire Fauchier , Lisa Lochon , Arnaud Bisson , Pierre Henri Ducluzeau , Gregory Y.H. Lip , Laurent Fauchier
{"title":"1型和2型糖尿病的传导干扰在两个大型独立的全国和国际数据库。","authors":"Lucile Accoceberry , Uazman Alam , Grégoire Fauchier , Lisa Lochon , Arnaud Bisson , Pierre Henri Ducluzeau , Gregory Y.H. Lip , Laurent Fauchier","doi":"10.1016/j.diabet.2025.101690","DOIUrl":null,"url":null,"abstract":"<div><h3>Aim</h3><div>Type 1 (T1D) and type 2 diabetes (T2D) are associated with increased cardiovascular risk, but limited data exist on their independent association with conduction disturbances. We evaluated the association between diabetes and conduction disorders, comparing T1D and T2D populations with non-diabetic controls in two independent databases.</div></div><div><h3>Methods</h3><div>Observational study using two large databases with matched cohorts: the French PMSI and the international TriNetX network. PMSI captures nationwide hospital admissions in France, while TriNetX includes patients from over 120 healthcare organizations worldwide. We identified > 440,000 patients with T2D from PMSI and > 900,000 patients with T2D and > 20,000 patients with T1D from TriNetX. Using 1:1 propensity score matching, these patients were matched to non-diabetic controls based on demographics and comorbidities</div></div><div><h3>Results</h3><div>Compared to no DM, T2D was associated with a higher risk of conduction disturbances, including atrioventricular block (HR 1.22 [1.19–1.25], PMSI; HR 1.50 [1.45–1.55], TriNetX), left bundle branch block (BBB), (HR 1.12 [1.08–1.17], PMSI; HR 1.50 [1.47–1.54], TriNetX), and right BBB (HR 1.14 [1.09–1.18], PMSI; HR 1.38 [1.34–1.43], TriNetX). Patients with T2D also had a higher risk of myocardial infarction (HR 1.29 [1.25–1.32], PMSI; HR 2.14 [2.08–2.19], TriNetX). Conversely, T1D was not associated with an increased risk of conduction disorders in the TriNetX cohort.</div></div><div><h3>Conclusion</h3><div>T2D is independently associated with conduction disturbances and a higher incidence of coronary events compared to no DM, whereas T1D does not appear to confer the same risk. This suggests distinct pathophysiological mechanisms and the possible need for enhanced monitoring in T2D patients.</div></div>","PeriodicalId":11334,"journal":{"name":"Diabetes & metabolism","volume":"51 6","pages":"Article 101690"},"PeriodicalIF":4.7000,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Conduction disturbances in Type 1 and Type 2 Diabetes in two large independent nationwide and international databases\",\"authors\":\"Lucile Accoceberry , Uazman Alam , Grégoire Fauchier , Lisa Lochon , Arnaud Bisson , Pierre Henri Ducluzeau , Gregory Y.H. Lip , Laurent Fauchier\",\"doi\":\"10.1016/j.diabet.2025.101690\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aim</h3><div>Type 1 (T1D) and type 2 diabetes (T2D) are associated with increased cardiovascular risk, but limited data exist on their independent association with conduction disturbances. We evaluated the association between diabetes and conduction disorders, comparing T1D and T2D populations with non-diabetic controls in two independent databases.</div></div><div><h3>Methods</h3><div>Observational study using two large databases with matched cohorts: the French PMSI and the international TriNetX network. PMSI captures nationwide hospital admissions in France, while TriNetX includes patients from over 120 healthcare organizations worldwide. We identified > 440,000 patients with T2D from PMSI and > 900,000 patients with T2D and > 20,000 patients with T1D from TriNetX. Using 1:1 propensity score matching, these patients were matched to non-diabetic controls based on demographics and comorbidities</div></div><div><h3>Results</h3><div>Compared to no DM, T2D was associated with a higher risk of conduction disturbances, including atrioventricular block (HR 1.22 [1.19–1.25], PMSI; HR 1.50 [1.45–1.55], TriNetX), left bundle branch block (BBB), (HR 1.12 [1.08–1.17], PMSI; HR 1.50 [1.47–1.54], TriNetX), and right BBB (HR 1.14 [1.09–1.18], PMSI; HR 1.38 [1.34–1.43], TriNetX). Patients with T2D also had a higher risk of myocardial infarction (HR 1.29 [1.25–1.32], PMSI; HR 2.14 [2.08–2.19], TriNetX). Conversely, T1D was not associated with an increased risk of conduction disorders in the TriNetX cohort.</div></div><div><h3>Conclusion</h3><div>T2D is independently associated with conduction disturbances and a higher incidence of coronary events compared to no DM, whereas T1D does not appear to confer the same risk. This suggests distinct pathophysiological mechanisms and the possible need for enhanced monitoring in T2D patients.</div></div>\",\"PeriodicalId\":11334,\"journal\":{\"name\":\"Diabetes & metabolism\",\"volume\":\"51 6\",\"pages\":\"Article 101690\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2025-07-24\",\"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/S1262363625000849\",\"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/S1262363625000849","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Conduction disturbances in Type 1 and Type 2 Diabetes in two large independent nationwide and international databases
Aim
Type 1 (T1D) and type 2 diabetes (T2D) are associated with increased cardiovascular risk, but limited data exist on their independent association with conduction disturbances. We evaluated the association between diabetes and conduction disorders, comparing T1D and T2D populations with non-diabetic controls in two independent databases.
Methods
Observational study using two large databases with matched cohorts: the French PMSI and the international TriNetX network. PMSI captures nationwide hospital admissions in France, while TriNetX includes patients from over 120 healthcare organizations worldwide. We identified > 440,000 patients with T2D from PMSI and > 900,000 patients with T2D and > 20,000 patients with T1D from TriNetX. Using 1:1 propensity score matching, these patients were matched to non-diabetic controls based on demographics and comorbidities
Results
Compared to no DM, T2D was associated with a higher risk of conduction disturbances, including atrioventricular block (HR 1.22 [1.19–1.25], PMSI; HR 1.50 [1.45–1.55], TriNetX), left bundle branch block (BBB), (HR 1.12 [1.08–1.17], PMSI; HR 1.50 [1.47–1.54], TriNetX), and right BBB (HR 1.14 [1.09–1.18], PMSI; HR 1.38 [1.34–1.43], TriNetX). Patients with T2D also had a higher risk of myocardial infarction (HR 1.29 [1.25–1.32], PMSI; HR 2.14 [2.08–2.19], TriNetX). Conversely, T1D was not associated with an increased risk of conduction disorders in the TriNetX cohort.
Conclusion
T2D is independently associated with conduction disturbances and a higher incidence of coronary events compared to no DM, whereas T1D does not appear to confer the same risk. This suggests distinct pathophysiological mechanisms and the possible need for enhanced monitoring in T2D patients.
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.