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身体形状指数(ABSI)与慢性肾脏病患病率、全因死亡率和心血管死亡率的关联:一项对29189名美国成年人进行的20年前瞻性队列研究。

Association of a body shape index (ABSI) with chronic kidney disease prevalence, all-cause and cardiovascular mortality: A 20-year prospective cohort study of 29,189 U.S. adults.

作者信息

Zhu Zhengyang, Ren Kejun, Duan Xiaowei, Hu Xulei, Lv Yong, Wang Dong, Jin Hua, Zhang Lei

机构信息

The First Clinical Medical College, Anhui University of Chinese Medicine, Hefei, China.

The First Affiliated Hospital, Anhui University of Chinese Medicine, Hefei, China.

出版信息

Nutrition. 2026 Jan;141:112937. doi: 10.1016/j.nut.2025.112937. Epub 2025 Aug 28.

Abstract

BACKGROUND

Conventional obesity metrics like body mass index (BMI) and waist circumference (WC) inadequately assess visceral adiposity and mortality risks in chronic kidney disease (CKD) populations. The A Body Shape Index (ABSI), which normalizes WC for height and body mass, may better capture central adiposity and CKD-related risks, yet its prognostic value remains underexplored. This study evaluates ABSI's association with CKD prevalence, all-cause mortality, and cardiovascular disease (CVD) mortality compared to traditional and novel anthropometric indices.

METHODS

This prospective cohort study utilized data from the National Health and Nutrition Examination Survey (NHANES 1999-2018). The primary cohort included 29 189 U.S. adults to evaluate associations of abdominal obesity indices with CKD risk. Within this cohort, a subgroup of 4739 adults with CKD was subsequently analyzed for associations with all-cause and CVD mortality. A Body Shape Index (ABSI), waist-to-height ratio (WHTR), and body roundness index (BRI) were calculated and standardized using sex-specific z-scores. CKD was defined per Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Cox proportional hazards models, restricted cubic splines (RCS), and time-dependent receiver operating characteristics (ROC) analyses were employed to assess outcome associations, with adjustments for sociodemographic, clinical, and metabolic covariates.

RESULTS

Over a 20-year follow-up, ABSI demonstrated relatively higher discrimination for CKD prevalence [adjusted odds ratio (OR) per standard deviation (SD) increase: 1.20, 95% confidence interval (CI): 1.14-1.26] and mortality compared to other indices. Fully adjusted models revealed dose-dependent associations: the highest ABSI quartile (Q4) had 45% higher all-cause mortality [hazard ratio (HR): 1.45, 95% CI: 1.17-1.80] and 79% increased CVD mortality (HR: 1.79, 95% CI: 1.15-2.80) versus Q1. Nonlinear thresholds identified critical inflection points (ABSI z-scores >0.858 for all-cause mortality; >0.542 for CVD mortality). ROC analyses showed ABSI's comparatively higher AUC values: all-cause mortality AUC = 0.67 (95% CI: 0.66-0.69) and CVD mortality AUC = 0.64 (95% CI: 0.61-0.66) versus WHTR/BRI AUC values of -0.51 to 0.52. Subgroup analyses highlighted heightened ABSI-associated risks in adults >60 years (CVD mortality HR: 2.58, 95% CI: 1.31-5.09) and sex-specific disparities, with males exhibiting lower mortality risks at elevated ABSI levels.

CONCLUSIONS

ABSI showed stronger associations and relatively better discrimination than conventional adiposity indices in CKD risk stratification and mortality prediction, particularly in older adults. Identified thresholds offer actionable targets for clinical monitoring. These findings suggest ABSI's potential utility in refining obesity-related risk assessment in CKD populations, meriting further investigation of its clinical applicability.

摘要

背景

传统的肥胖指标,如体重指数(BMI)和腰围(WC),在评估慢性肾脏病(CKD)人群的内脏脂肪含量和死亡风险方面存在不足。身体形状指数(ABSI)通过将腰围按身高和体重进行标准化,可能能更好地反映中心性肥胖及与CKD相关的风险,但其预后价值仍未得到充分探索。本研究将ABSI与传统及新型人体测量指数相比较,评估其与CKD患病率、全因死亡率和心血管疾病(CVD)死亡率的关联。

方法

这项前瞻性队列研究使用了美国国家健康与营养检查调查(NHANES 1999 - 2018)的数据。主要队列包括29189名美国成年人,以评估腹部肥胖指数与CKD风险的关联。在该队列中,随后对4739名患有CKD的成年人亚组进行分析,以探讨其与全因死亡率和CVD死亡率的关联。计算身体形状指数(ABSI)、腰高比(WHTR)和身体圆润度指数(BRI),并使用特定性别的z分数进行标准化。CKD根据肾脏病:改善全球预后(KDIGO)标准进行定义。采用Cox比例风险模型、受限立方样条(RCS)和时间依赖性受试者工作特征(ROC)分析来评估结局关联,并对社会人口统计学、临床和代谢协变量进行调整。

结果

在20年的随访中,与其他指数相比,ABSI对CKD患病率[每标准差(SD)增加的调整优势比(OR):1.20,95%置信区间(CI):1.14 - 1.26]和死亡率表现出相对更高的区分度。完全调整模型显示出剂量依赖性关联:最高ABSI四分位数(Q4)与第一四分位数(Q1)相比,全因死亡率高45%[风险比(HR):1.45,95% CI:1.17 - 1.80],CVD死亡率高79%(HR:1.79,95% CI:1.15 - 2.80)。非线性阈值确定了关键拐点(全因死亡率的ABSI z分数>0.858;CVD死亡率的ABSI z分数>0.542)。ROC分析显示ABSI具有相对较高的AUC值:全因死亡率的AUC = 0.67(95% CI:0.66 - 0.69),CVD死亡率的AUC = 0.64(95% CI:0.61 - 0.66),而WHTR/BRI的AUC值为 - 0.51至0.52。亚组分析突出了60岁以上成年人中与ABSI相关的风险增加(CVD死亡率HR:2.58,95% CI:1.31 - 5.09)以及性别差异,男性在ABSI水平升高时表现出较低的死亡风险。

结论

在CKD风险分层和死亡率预测中,ABSI显示出比传统肥胖指数更强的关联和相对更好的区分度,尤其是在老年人中。确定的阈值为临床监测提供了可操作的目标。这些发现表明ABSI在优化CKD人群中与肥胖相关的风险评估方面具有潜在效用,值得进一步研究其临床适用性。

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