A prospective cohort study of long-term fasting blood glucose variability and risk of mortality in patients with type 2 diabetes.
10.3760/cma.j.cn112338-20221226-01084
- Author:
Yi Jia CHEN
1
;
Yu QIN
2
;
Hao YU
2
;
Zheng ZHU
2
;
Chong SHEN
3
;
Yan LU
4
;
Ting Ting CHENG
5
;
Ning ZHANG
6
;
Shu Jun GU
7
;
Jin Yi ZHOU
2
;
Ming WU
2
;
Jian SU
2
Author Information
1. Department of Non-communicable Chronic Disease Prevention, Nanjing Municipal Center for Disease Control and Prevention, Nanjing 210003, China.
2. Department of Non-communicable Chronic Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
3. Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
4. Department of Non-communicable Chronic Disease Prevention, Suzhou Prefectural Center for Disease Control and Prevention, Suzhou 215004, China.
5. Department of Infectious Disease Control Division, Suzhou National New & Hi-Tech Industrial Development Zone (Huqiu District) Center for Disease Control and Prevention, Suzhou 215163, China.
6. Changshu County Center for Disease Control and Prevention, Changshu 215500, China.
7. Department of Non-communicable Chronic Disease Prevention, Changshu County Center for Disease Control and Prevention, Changshu 215500, China.
- Publication Type:Journal Article
- From:Chinese Journal of Epidemiology
2023;44(7):1099-1105
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To investigate the association between long-term fasting blood glucose (FPG) variability and all-cause mortality in patients with type 2 diabetes. Methods: A total of 7 174 type 2 diabetic patients included in National Basic Public Health Service Program in Changshu of Jiangsu Province were recruited as participants. Long-term glucose variability was assessed using standard deviation (SD), coefficient of variation (CV), average real variability (ARV), and variability independent of the mean (VIM) across FPG measurements at the more than three visits. Death information were mainly obtained from the death registry system in Jiangsu. Then Cox proportional hazards regression models were used to estimate the associations of four variability indicators and all-cause mortality's hazard ratios (HRs) and their 95%CIs. Results: Among 55 058.50 person-years of the follow-up, the mean follow-up time was 7.67 years, and 898 deaths occurred during the follow-up period. After adjustment, compared with T1 group, the Cox regression model showed that HRs of T3 group in SD, CV, ARV and VIM were 1.24 (95%CI: 1.03-1.49), 1.20 (95%CI: 1.01-1.43), 1.28 (95%CI: 1.07-1.55) and 1.20 (95%CI:1.01-1.41), respectively. HRs of per 1 SD higher SD, CV, ARV and VIM were 1.13 (95%CI: 1.06-1.21), 1.08 (95%CI: 1.01-1.15), 1.05 (95%CI: 1.00-1.12) and 1.09 (95%CI: 1.02-1.16) for all-cause mortality, respectively. In the stratified analysis, age, gender, hypoglycemic agent and insulin uses had no effect on the above associations (all P for interaction >0.05). Conclusion: Long-term FPG glycemic variability was positively associated with the risk of all-cause mortality in type 2 diabetes patients.
