Chaolei Chen, Zehan Huang, Lin Liu, Bingbing Su, Yingqing Feng, Yuqing Huang
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Fine-Gray subdistribution hazards models and Cox proportional hazards models were used to estimate risks of CVD and all-cause mortality, respectively. RESULTS During a median follow-up of 13.9 years, 2,825 incident cases of CVD and 2,811 deaths were documented. Lower FEV1, FVC, FEV1/FVC ratio, FEV1 percent predicted, and FVC percent predicted were related to higher risks of CVD and all-cause mortality. Compared with preserved lung function, the adjusted subdistribution hazard ratios (HRs) for CVD were 1.19 (95% CI 1.05–1.35) for OP and 1.47 (95% CI 1.33–1.65) for RP. Compared with the control group, the subdistribution HRs for CVD were 1.20 (95% CI 1.06–1.36) for OP and 1.43 (95% CI 1.29–1.59) for PRISm. These associations were consistent across subgroups and sensitivity analyses. Adding lung function measurements significantly enhanced the performance of CVD prediction beyond the SCORE2-Diabetes model. CONCLUSIONS Lung function impairment was associated with increased risks of CVD and all-cause mortality among individuals with T2D.","PeriodicalId":11140,"journal":{"name":"Diabetes Care","volume":"15 1","pages":""},"PeriodicalIF":14.8000,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lung Function Impairment and Risks of Incident Cardiovascular Diseases and Mortality Among People With Type 2 Diabetes: A Prospective Cohort Study\",\"authors\":\"Chaolei Chen, Zehan Huang, Lin Liu, Bingbing Su, Yingqing Feng, Yuqing Huang\",\"doi\":\"10.2337/dc24-2188\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"OBJECTIVE Individuals with type 2 diabetes (T2D) frequently exhibit impaired lung function, potentially accelerating the onset of cardiovascular disease (CVD), although prospective studies remain limited. We aimed to explore the relationship between lung function impairment and risk of CVD and mortality within this high-risk population. RESEARCH DESIGN AND METHODS This prospective study included 16,242 participants with T2D and free of CVD from the UK Biobank. Obstructive physiology (OP), restrictive physiology (RP), and preserved ratio impaired spirometry (PRISm) were defined using spirometry, including forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC). Fine-Gray subdistribution hazards models and Cox proportional hazards models were used to estimate risks of CVD and all-cause mortality, respectively. RESULTS During a median follow-up of 13.9 years, 2,825 incident cases of CVD and 2,811 deaths were documented. Lower FEV1, FVC, FEV1/FVC ratio, FEV1 percent predicted, and FVC percent predicted were related to higher risks of CVD and all-cause mortality. Compared with preserved lung function, the adjusted subdistribution hazard ratios (HRs) for CVD were 1.19 (95% CI 1.05–1.35) for OP and 1.47 (95% CI 1.33–1.65) for RP. Compared with the control group, the subdistribution HRs for CVD were 1.20 (95% CI 1.06–1.36) for OP and 1.43 (95% CI 1.29–1.59) for PRISm. These associations were consistent across subgroups and sensitivity analyses. Adding lung function measurements significantly enhanced the performance of CVD prediction beyond the SCORE2-Diabetes model. 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引用次数: 0
摘要
2型糖尿病(T2D)患者经常表现出肺功能受损,潜在地加速了心血管疾病(CVD)的发作,尽管前瞻性研究仍然有限。我们的目的是在这一高危人群中探讨肺功能损害与心血管疾病风险和死亡率之间的关系。研究设计和方法本前瞻性研究包括来自UK Biobank的16242例T2D和无CVD患者。使用肺活量测定法定义阻塞性生理(OP)、限制性生理(RP)和保留率受损肺活量(PRISm),包括1s用力呼气量(FEV1)和用力肺活量(FVC)。细灰色亚分布风险模型和Cox比例风险模型分别用于估计心血管疾病和全因死亡率的风险。结果:在13.9年的中位随访期间,记录了2825例CVD事件和2811例死亡。较低的FEV1、FVC、FEV1/FVC比率、预测fev1%和预测FVC百分比与CVD和全因死亡率的高风险相关。与保留的肺功能相比,CVD的校正亚分布风险比(HRs) OP为1.19 (95% CI 1.05-1.35), RP为1.47 (95% CI 1.33-1.65)。与对照组相比,OP组CVD的亚分布hr为1.20 (95% CI 1.06-1.36), PRISm组为1.43 (95% CI 1.29-1.59)。这些关联在亚组和敏感性分析中是一致的。与SCORE2-Diabetes模型相比,添加肺功能测量显着提高了CVD预测的性能。结论:肺功能损害与T2D患者CVD和全因死亡率风险增加相关。
Lung Function Impairment and Risks of Incident Cardiovascular Diseases and Mortality Among People With Type 2 Diabetes: A Prospective Cohort Study
OBJECTIVE Individuals with type 2 diabetes (T2D) frequently exhibit impaired lung function, potentially accelerating the onset of cardiovascular disease (CVD), although prospective studies remain limited. We aimed to explore the relationship between lung function impairment and risk of CVD and mortality within this high-risk population. RESEARCH DESIGN AND METHODS This prospective study included 16,242 participants with T2D and free of CVD from the UK Biobank. Obstructive physiology (OP), restrictive physiology (RP), and preserved ratio impaired spirometry (PRISm) were defined using spirometry, including forced expiratory volume in 1 s (FEV1) and forced vital capacity (FVC). Fine-Gray subdistribution hazards models and Cox proportional hazards models were used to estimate risks of CVD and all-cause mortality, respectively. RESULTS During a median follow-up of 13.9 years, 2,825 incident cases of CVD and 2,811 deaths were documented. Lower FEV1, FVC, FEV1/FVC ratio, FEV1 percent predicted, and FVC percent predicted were related to higher risks of CVD and all-cause mortality. Compared with preserved lung function, the adjusted subdistribution hazard ratios (HRs) for CVD were 1.19 (95% CI 1.05–1.35) for OP and 1.47 (95% CI 1.33–1.65) for RP. Compared with the control group, the subdistribution HRs for CVD were 1.20 (95% CI 1.06–1.36) for OP and 1.43 (95% CI 1.29–1.59) for PRISm. These associations were consistent across subgroups and sensitivity analyses. Adding lung function measurements significantly enhanced the performance of CVD prediction beyond the SCORE2-Diabetes model. CONCLUSIONS Lung function impairment was associated with increased risks of CVD and all-cause mortality among individuals with T2D.
期刊介绍:
The journal's overarching mission can be captured by the simple word "Care," reflecting its commitment to enhancing patient well-being. Diabetes Care aims to support better patient care by addressing the comprehensive needs of healthcare professionals dedicated to managing diabetes.
Diabetes Care serves as a valuable resource for healthcare practitioners, aiming to advance knowledge, foster research, and improve diabetes management. The journal publishes original research across various categories, including Clinical Care, Education, Nutrition, Psychosocial Research, Epidemiology, Health Services Research, Emerging Treatments and Technologies, Pathophysiology, Complications, and Cardiovascular and Metabolic Risk. Additionally, Diabetes Care features ADA statements, consensus reports, review articles, letters to the editor, and health/medical news, appealing to a diverse audience of physicians, researchers, psychologists, educators, and other healthcare professionals.