The relationship between cumulative fasting blood glucose exposure and all-cause mortality
10.3760/cma.j.cn311282-20200916-00638
- VernacularTitle:累积空腹血糖暴露与全因死亡的关系
- Author:
Tingting LIU
1
;
Xizhu WANG
;
Qiaofeng SONG
;
Aijuan LIU
;
Yue DU
;
Shouling WU
Author Information
1. 唐山市人民医院心内科 063000
- Keywords:
Cumulative fasting blood glucose;
All-cause mortality;
Risk factors
- From:
Chinese Journal of Endocrinology and Metabolism
2022;38(1):7-13
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the relationship between cumulative fasting blood glucose(cumFPG)exposure and all-cause mortality.Methods:The prospective cohort study included 56 845 subjects of Kailuan Group who participated in physical examinations from 2006 to 2007, 2008 to 2009, and 2010 to 2011 with complete data and a median of 7.77 years of follow up. The end point event was all-cause mortality. The incidence of all-cause mortality was compared in various groups divided by four quartile of cumFPG. The Cox proportional hazards model and natural spline were used to analyze the effect of cumFPG on all-cause mortality.Results:During the average(7.77±1.05)years of follow-up, the incidence density of all-cause mortality was on the rise with the increase of cumFPG(4.93, 5.87, 8.48, and 14.02 per 1 000 person-years), with statistically significant difference by Log- rank test( P<0.001). Cox proportional hazards model showed that after adjusting for potential confounding factors(age, sex, body mass index, hypertension, baseline fasting plasma glucose), the HR value(95% CI)of all-cause mortality in the fourth quartile group was 1.28(1.15-1.42)compared to the first quartile. When cumFPG increased every standard deviation, the risk of all-cause mortality increased by 17%. Natural spline analysis exhibited a similar J curve relationship between cumFPG and all-cause mortality. Conclusion:High cumFPG is a risk factor of all-cause mortality.
