Predictive Capability of Dual Trajectories of Central Adiposity Indices Combined With Glucose for Cardiovascular Diseases

IF 3 2区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Gangjiao Zhu, Xiong Ding, Hui Zhou, Janis M. Nolde, Thomas Beaney, Dan Wu, Yulong Lan, Yan Tian, Ruolin Zhang, Bolu Yang, Shuohua Chen, Bifeng Yuan, Shouling Wu, Lijing L. Yan
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Abstract

Background

This aimed to quantify the association between dual trajectory patterns combining seven central adiposity (CA) indices and fasting plasma glucose (FPG) with cardiovascular disease (CVD) risk in adults, and to compare their predictive performance.

Methods

The Kailuan Study, a prospective study initiated in June 2006, included 39 772 adults without pre-existing CVD as of 2010. Dual trajectories of seven CA indices combined with FPG were recorded from 2006 to 2010 to predict CVD risk from 2010 to 2021. Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for incident CVD.

Results

During a median follow-up of 11.0 years, 2715 incident CVD events were recorded. Four distinct patterns of CA indices (waist circumference, waist-to-height ratio, abdominal volume index, body roundness index) and three distinct patterns of other CA indices (waist-to-hip ratio, conicity index, A body shape index) combined with FPG were identified. Compared with the lowest-risk group, the highest-risk group exhibited a significantly higher CVD risk (adjusted HRs [95% CIs]: 2.41 [2.02–2.86], 2.57 [2.18–3.05], 2.25 [1.92–2.63], 2.35 [2.01–2.73], 2.08 [1.74–2.49], 1.97 [1.72–2.26], 1.81 [1.58–2.07], respectively). Overall, the predictive capabilities were generally similar, with the combination of waist circumference and FPG showing a slightly better predictive performance compared with other patterns.

Conclusions

Distinct patterns of dual trajectories involving seven CA indices combined with FPG were associated with CVD risk. The results suggest that the combination of waist circumference and FPG may have greater clinical significance in predicting CVD risk.

Abstract Image

中枢性肥胖指数与血糖双轨迹对心血管疾病的预测能力
本研究旨在量化7种中心型肥胖(CA)指数和空腹血糖(FPG)双轨迹模式与成人心血管疾病(CVD)风险之间的关系,并比较它们的预测效果。开滦研究是一项于2006年6月启动的前瞻性研究,纳入了截至2010年无心血管疾病的39772名成年人。2006 - 2010年记录7项CA指标结合FPG的双轨迹,预测2010 - 2021年CVD风险。Cox回归模型用于估计CVD事件的风险比(hr)和95%置信区间(ci)。结果在中位随访11.0年期间,记录了2715例CVD事件。发现了CA指标(腰围、腰高比、腹容积指数、体圆度指数)与FPG结合的4种不同模式和其他CA指标(腰臀比、圆度指数、A型指数)的3种不同模式。与最低风险组相比,最高风险组的心血管疾病风险显著升高(校正后hr [95% ci]分别为2.41[2.02-2.86]、2.57[2.18-3.05]、2.25[1.92-2.63]、2.35[2.01-2.73]、2.08[1.74-2.49]、1.97[1.72-2.26]、1.81[1.58-2.07])。总体而言,预测能力大致相似,与其他模式相比,腰围和FPG的组合表现出略好的预测性能。结论七种CA指标合并FPG的双轨迹模式与CVD风险相关。结果提示,结合腰围和FPG在预测心血管疾病风险方面可能具有更大的临床意义。
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来源期刊
Journal of Diabetes
Journal of Diabetes ENDOCRINOLOGY & METABOLISM-
CiteScore
6.50
自引率
2.20%
发文量
94
审稿时长
>12 weeks
期刊介绍: Journal of Diabetes (JDB) devotes itself to diabetes research, therapeutics, and education. It aims to involve researchers and practitioners in a dialogue between East and West via all aspects of epidemiology, etiology, pathogenesis, management, complications and prevention of diabetes, including the molecular, biochemical, and physiological aspects of diabetes. The Editorial team is international with a unique mix of Asian and Western participation. The Editors welcome submissions in form of original research articles, images, novel case reports and correspondence, and will solicit reviews, point-counterpoint, commentaries, editorials, news highlights, and educational content.
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