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人体脂肪人体测量指数与代谢综合征患者死亡率之间的关联。

Associations between body fat anthropometric indices and mortality among individuals with metabolic syndrome.

机构信息

Department of Clinical Laboratory, The Third Affiliated Hospital of Shanghai University, Wenzhou, 325000, P. R. China.

Department of Clinical Laboratory, Wenzhou People's Hospital, Wenzhou, 325000, P. R. China.

出版信息

Lipids Health Dis. 2024 Sep 27;23(1):306. doi: 10.1186/s12944-024-02272-0.

Abstract

BACKGROUND

The distribution of body fat and metabolic health may contribute to the onset of metabolic syndrome (MetS), but the associations between body fat anthropometric indices (AIs) and mortality in individuals with MetS remain unclear.

METHODS

Participants aged 18 years or older with MetS were recruited from the NHANES 1999-2018. The body fat anthropometric indices included the a body shape index (ABSI), body roundness index (BRI), cardiometabolic index (CMI), visceral adiposity index (VAI), waist triglyceride index (WTI), lipid accumulation product (LAP), atherogenic index of plasma (AIP), and triglyceride‒glucose (TyG) index. MetS was defined according to the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATPIII) criteria. Mortality data were obtained from the National Death Index through December 31, 2019.

RESULTS

Data were collected from 8,379 individuals with MetS, with a median follow-up of 8.5 years, of whom 1,698 died from all causes and 568 from the CCD. The random survival forest (RSF) analysis indicated that the ABSI had the strongest predictive power for both all-cause mortality and CCD mortality among the eight body fat AIs. After adjusting for multiple variables, the ABSI was found to be linearly and positively associated with all-cause and CCD mortality in individuals with MetS. Participants in the highest quartile of ABSI had an increased risk of all-cause (HR = 1.773 [1.419-2.215]) and CCD (HR = 1.735 [1.267-2.375]) mortality compared with those in the lowest quartile. Furthermore, the ABSI predicted areas under the curve (AUCs) of 0.735, 0.723, 0.718, and 0.725 for all-cause mortality at 3, 5, 10, and 15 years, respectively, and 0.774, 0.758, 0.725, and 0.715 for CCD mortality, respectively.

CONCLUSION

Among eight body fat AIs, the ABSI exhibited the strongest predictive power for mortality in individuals with MetS. Higher ABSI values significantly increased all-cause mortality and CCD mortality in participants with MetS.

摘要

背景

体脂分布和代谢健康状况可能导致代谢综合征(MetS)的发生,但 MetS 患者的体脂人体测量指标(AIs)与死亡率之间的关系尚不清楚。

方法

从 1999 年至 2018 年的 NHANES 中招募了年龄在 18 岁及以上的 MetS 患者。体脂人体测量指标包括体脂形状指数(ABSI)、体圆度指数(BRI)、心脏代谢指数(CMI)、内脏脂肪指数(VAI)、腰围甘油三酯指数(WTI)、脂质蓄积产物(LAP)、血浆致动脉粥样硬化指数(AIP)和甘油三酯-葡萄糖(TyG)指数。MetS 根据国家胆固醇教育计划成人治疗专家组 III(NCEP ATPIII)标准定义。死亡率数据通过国家死亡索引获得,截至 2019 年 12 月 31 日。

结果

数据来自 8379 名 MetS 患者,中位随访时间为 8.5 年,其中 1698 人死于各种原因,568 人死于冠心病。随机生存森林(RSF)分析表明,在八个体脂 AIs 中,ABSI 对全因死亡率和冠心病死亡率具有最强的预测能力。在调整了多个变量后,发现 ABSI 与 MetS 患者的全因死亡率和冠心病死亡率呈线性正相关。ABSI 最高四分位数的参与者发生全因死亡率(HR=1.773[1.419-2.215])和冠心病死亡率(HR=1.735[1.267-2.375])的风险增加与最低四分位数相比。此外,ABSI 预测的 3 年、5 年、10 年和 15 年全因死亡率的曲线下面积(AUC)分别为 0.735、0.723、0.718 和 0.725,冠心病死亡率分别为 0.774、0.758、0.725 和 0.715。

结论

在八个体脂 AIs 中,ABSI 对 MetS 患者的死亡率具有最强的预测能力。较高的 ABSI 值显著增加了 MetS 患者的全因死亡率和冠心病死亡率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e5fb/11429950/c76bb8382d82/12944_2024_2272_Fig2_HTML.jpg

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