10年动脉粥样硬化性心血管疾病风险能否预测2型糖尿病肾病和视网膜病变的发生?中国南方两项前瞻性队列研究的结果。

IF 6.8 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Diabetes & Metabolism Journal Pub Date : 2025-03-01 Epub Date: 2025-02-04 DOI:10.4093/dmj.2024.0239
Jiaheng Chen, Yu Ting Li, Zimin Niu, Zhanpeng He, Yao Jie Xie, Jose Hernandez, Wenyong Huang, Harry H X Wang
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引用次数: 0

摘要

背景:糖尿病大血管和微血管并发症经常共存,可能具有相似的危险因素和病理通路。我们的目的是研究10年动脉粥样硬化性心血管疾病(ASCVD)风险是否可以预测2型糖尿病(T2DM)患者发生的糖尿病肾病(DN)和视网膜病变(DR)。ASCVD是糖尿病管理中常用的评估指标。方法:本前瞻性队列研究在中国南方广州(2017-2022)和韶关(2019-2021)糖尿病眼研究中招募了2,891名临床诊断为T2DM的患者,这些患者在基线时无ASCVD、肾病或视网膜病变。采用中国ASCVD风险预测(China- par)方程计算10年ASCVD风险。建立了多变量校正Cox比例风险模型,以95%置信区间估计风险比(hr)。用受试者工作特征曲线下面积(AUC)评价预测能力。结果:随访期间共记录DN 171例,DR 532例。10年ASCVD风险每增加1%与DN风险增加相关(合并HR, 1.122;95% CI, 1.094 ~ 1.150),但DR没有(合并HR, 0.996;95% CI, 0.979 ~ 1.013)。该模型在预测新发DN方面表现良好(合并AUC, 0.670;95% CI, 0.628 ~ 0.715)。这些结果在整个队列和亚组中都是一致的,这种关联在女性中更为明显。结论:在我们研究的T2DM人群中,10年ASCVD风险可预测DN的发生,但不能预测DR的发生。在常规糖尿病实践中,定期监测ASCVD风险可能会增加以人群为基础的大血管和微血管疾病预防能力,特别是在女性中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Does 10-Year Atherosclerotic Cardiovascular Disease Risk Predict Incident Diabetic Nephropathy and Retinopathy in Patients with Type 2 Diabetes Mellitus? Results from Two Prospective Cohort Studies in Southern China.

Backgruound: Diabetic macrovascular and microvascular complications often coexist and may share similar risk factors and pathological pathways. We aimed to investigate whether 10-year atherosclerotic cardiovascular disease (ASCVD) risk, which is commonly assessed in diabetes management, can predict incident diabetic nephropathy (DN) and retinopathy (DR) in patients with type 2 diabetes mellitus (T2DM).

Methods: This prospective cohort study enrolled 2,891 patients with clinically diagnosed T2DM who were free of ASCVD, nephropathy, or retinopathy at baseline in the Guangzhou (2017-2022) and Shaoguan (2019-2021) Diabetic Eye Study in southern China. The 10-year ASCVD risk was calculated by the Prediction for ASCVD Risk in China (China-PAR) equations. Multivariable- adjusted Cox proportional hazard models were developed to estimate hazard ratios (HRs) with 95% confidence intervals (CIs). The area under the receiver operating characteristic curve (AUC) was used to evaluate predictive capability.

Results: During follow-up, a total of 171 cases of DN and 532 cases of DR were documented. Each 1% increment in 10-year ASCVD risk was associated with increased risk of DN (pooled HR, 1.122; 95% CI, 1.094 to 1.150) but not DR (pooled HR, 0.996; 95% CI, 0.979 to 1.013). The model demonstrated acceptable performance in predicting new-onset DN (pooled AUC, 0.670; 95% CI, 0.628 to 0.715). These results were consistent across cohorts and subgroups, with the association appearing to be more pronounced in women.

Conclusion: Ten-year ASCVD risk predicts incident DN but not DR in our study population with T2DM. Regular monitoring of ASCVD risk in routine diabetes practice may add to the ability to enhance population-based prevention for both macrovascular and microvascular diseases, particularly among women.

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来源期刊
Diabetes & Metabolism Journal
Diabetes & Metabolism Journal Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
10.40
自引率
6.80%
发文量
92
审稿时长
52 weeks
期刊介绍: The aims of the Diabetes & Metabolism Journal are to contribute to the cure of and education about diabetes mellitus, and the advancement of diabetology through the sharing of scientific information on the latest developments in diabetology among members of the Korean Diabetes Association and other international societies. The Journal publishes articles on basic and clinical studies, focusing on areas such as metabolism, epidemiology, pathogenesis, complications, and treatments relevant to diabetes mellitus. It also publishes articles covering obesity and cardiovascular disease. Articles on translational research and timely issues including ubiquitous care or new technology in the management of diabetes and metabolic disorders are welcome. In addition, genome research, meta-analysis, and randomized controlled studies are welcome for publication. The editorial board invites articles from international research or clinical study groups. Publication is determined by the editors and peer reviewers, who are experts in their specific fields of diabetology.
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