亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Association between abdominal obesity indices and risk of cardiovascular events in Chinese populations with type 2 diabetes: a prospective cohort study

医学 血管病学 体质指数 内科学 2型糖尿病 腹部肥胖 前瞻性队列研究 肥胖 队列 2型糖尿病 队列研究 糖尿病 代谢综合征 内分泌学
作者
Tingting Qiao,Tao Luo,Hualian Pei,Bahegu Yimingniyazi,Dilihumaer Aili,Aliya Aimudula,Hui Zhao,Huanwen Zhang,Jianghong Dai,Duolao Wang
出处
期刊:Cardiovascular Diabetology [Springer Nature]
卷期号:21 (1): 225-225 被引量:157
标识
DOI:10.1186/s12933-022-01670-x
摘要

Abstract Background Waist circumference (WC), visceral adiposity index (VAI), lipid accumulation product (LAP), and Chinese visceral adiposity index (CVAI) are considered surrogate indicators of abdominal fat deposition, but the longitudinal association of these indices with cardiovascular (CV) events in adults with type 2 diabetes (T2D) remains unclear. Our study aimed to examine the associations between abdominal obesity indices and incident CV events among people with T2D and to compare their predictive performance in risk assessment. Methods The present study included 2328 individuals with T2D from the Xinjiang Multi-Ethnic Cohort. Multivariable Cox regression analyses were applied to assess the associations between abdominal obesity indices and CV events. Harrell's concordance statistic (C-statistic), net reclassification improvement (NRI) index, and integrated discrimination improvement (IDI) index were utilized to evaluate the predictive performance of each abdominal obesity index. Results At a median follow-up period of 59 months, 289 participants experienced CV events. After multivariable adjustment, each 1-SD increase in WC, VAI, LAP, and CVAI was associated with a higher risk of CV events in people with T2D, with adjusted hazard ratios (HRs) being 1.57 [95% CI (confidence interval): 1.39–1.78], 1.11 (95% CI 1.06–1.16), 1.46 (95% CI 1.36–1.57), and 1.78 (95% CI 1.57–2.01), respectively. In subgroup analyses, these positive associations appeared to be stronger among participants with body mass index (BMI) < 25 kg/m 2 compared to overweight/obese participants. As for the predictive performance, CVAI had the largest C-statistic (0.700, 95% CI 0.672–0.728) compared to VAI, LAP, WC, and BMI (C-statistic: 0.535 to 0.670, all P for comparison < 0.05). When the abdominal obesity index was added to the basic risk model, the CVAI index also showed the greatest incremental risk stratification (C-statistic: 0.751 vs. 0.701, P < 0.001; IDI: 4.3%, P < 0.001; NRI: 26.6%, P < 0.001). Conclusions This study provided additional evidence that all abdominal obesity indices were associated with the risk of CV events and highlighted that CVAI might be a valuable abdominal obesity indicator for identifying the high risk of CV events in Chinese populations with T2D. These results suggest that proactive assessment of abdominal obesity could be helpful for the effective clinical management of the diabetic population.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
可爱的函函应助香菜肉丸采纳,获得10
1秒前
11秒前
平淡映秋发布了新的文献求助10
14秒前
focus完成签到 ,获得积分10
15秒前
香菜肉丸发布了新的文献求助10
18秒前
28秒前
37秒前
48秒前
58秒前
犬来八荒发布了新的文献求助10
58秒前
simple1完成签到 ,获得积分10
1分钟前
1分钟前
1分钟前
1分钟前
脑洞疼应助科研通管家采纳,获得10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
Criminology34应助科研通管家采纳,获得10
1分钟前
Cherry发布了新的文献求助10
1分钟前
charih完成签到 ,获得积分10
1分钟前
1分钟前
CodeCraft应助犬来八荒采纳,获得10
1分钟前
1分钟前
1分钟前
ding应助小橘子吃傻子采纳,获得10
1分钟前
1分钟前
Tania完成签到,获得积分10
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
2分钟前
科研通AI2S应助科研通管家采纳,获得30
3分钟前
Criminology34应助科研通管家采纳,获得30
3分钟前
Criminology34应助科研通管家采纳,获得10
3分钟前
科研通AI2S应助科研通管家采纳,获得10
3分钟前
辉辉应助科研通管家采纳,获得10
3分钟前
3分钟前
俭朴蜜蜂完成签到 ,获得积分10
3分钟前
wanci应助Tingshuo采纳,获得10
3分钟前
4分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Basic And Clinical Science Course 2025-2026 3000
《药学类医疗服务价格项目立项指南(征求意见稿)》 880
花の香りの秘密―遺伝子情報から機能性まで 800
Stop Talking About Wellbeing: A Pragmatic Approach to Teacher Workload 500
Terminologia Embryologica 500
Silicon in Organic, Organometallic, and Polymer Chemistry 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5617095
求助须知:如何正确求助?哪些是违规求助? 4701461
关于积分的说明 14913699
捐赠科研通 4749054
什么是DOI,文献DOI怎么找? 2549285
邀请新用户注册赠送积分活动 1512345
关于科研通互助平台的介绍 1474091