前瞻性队列研究强调了血糖测量异常与全因死亡率和特定病因死亡率之间的关联。

Prospective cohort studies underscore the association of abnormal glycemic measures with all-cause and cause-specific mortalities.

作者信息

Ke Juzhong, Ruan Xiaonan, Liu Wenbin, Liu Xiaolin, Wu Kang, Qiu Hua, Wang Xiaonan, Ding Yibo, Tan Xiaojie, Li Zhitao, Cao Guangwen

机构信息

Center for Disease Control and Prevention of Pudong New Area, Pudong Institute of Preventive Medicine, Fudan University, Shanghai, P.R. China.

Department of Epidemiology, Second Military Medical University, Shanghai, P.R. China.

出版信息

iScience. 2024 Jun 8;27(7):110233. doi: 10.1016/j.isci.2024.110233. eCollection 2024 Jul 19.

DOI:10.1016/j.isci.2024.110233

PMID:39021808

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11253504/

Abstract

The role of fasting plasma glucose (FPG), glycated hemoglobin (HbA1c), and triglyceride-glucose index (TyG index) in predicting all-cause and cause-specific mortalities remains elusive. This study included 384,420 adults from the Shanghai cohort and the UK Biobank (UKB) cohort. After multivariable adjustment in the Cox models, FPG ≥7.0 mmol/L or HbA1c ≥ 6.5% increased the risk of all-cause mortality, FPG ≥5.6 mmol/L or HbA1c ≥ 6.5% increased CVD-related mortality, and higher or lower TyG index increased all-cause and CVD-related mortalities in the Shanghai cohort; FPG ≥5.6 mmol/L, HbA1c ≥ 5.7%, TyG index <8.31 or ≥9.08 increased the risks of all-cause, CVD-related, and cancer-related mortalities in the UKB cohort. FPG or HbA1c increased the discrimination of the conventional risk model in predicting all-cause and CVD-related mortalities in both cohorts. Thus, increased levels of FPG and HbA1c and U-shaped TyG index increase the risks of all-cause especially CVD-related mortalities.

摘要

空腹血糖（FPG）、糖化血红蛋白（HbA1c）和甘油三酯-血糖指数（TyG指数）在预测全因死亡率和特定病因死亡率方面的作用仍不明确。本研究纳入了来自上海队列和英国生物银行（UKB）队列的384,420名成年人。在Cox模型中进行多变量调整后，FPG≥7.0 mmol/L或HbA1c≥6.5%会增加全因死亡率风险，FPG≥5.6 mmol/L或HbA1c≥6.5%会增加心血管疾病（CVD）相关死亡率，在上海队列中，较高或较低的TyG指数会增加全因死亡率和CVD相关死亡率；在UKB队列中，FPG≥5.6 mmol/L、HbA1c≥5.7%、TyG指数<8.31或≥9.08会增加全因、CVD相关和癌症相关死亡率风险。FPG或HbA1c提高了传统风险模型在两个队列中预测全因死亡率和CVD相关死亡率的辨别力。因此，FPG和HbA1c水平升高以及呈U形的TyG指数会增加全因死亡率尤其是CVD相关死亡率的风险。