Prediction of 5-year risk of diabetes mellitus in relatively low risk middle-aged and elderly adults

被引:10
|
作者
Hu, Hua [1 ,2 ]
Wang, Jing [1 ,2 ]
Han, Xu [1 ,2 ]
Li, Yaru [1 ,2 ]
Miao, Xiaoping [3 ]
Yuan, Jing [1 ,2 ]
Yang, Handong [4 ,5 ]
He, Meian [1 ,2 ]
机构
[1] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Publ Hlth, Dept Occupat & Environm Hlth, 13 Hangkong Rd, Wuhan 430030, Hubei, Peoples R China
[2] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Publ Hlth, State Key Lab Environm Hlth Incubating, 13 Hangkong Rd, Wuhan 430030, Hubei, Peoples R China
[3] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Publ Hlth, Dept Epidemiol & Biostat, Wuhan, Hubei, Peoples R China
[4] Dongfeng Motor Corp, Dongfeng Cent Hosp, Shiyan, Hubei, Peoples R China
[5] Hubei Univ Med, Shiyan, Hubei, Peoples R China
关键词
Prediction model; Perspective cohort study; Type; 2; diabetes; CORONARY-HEART-DISEASE; INSULIN-RESISTANCE; FATTY-ACIDS; TYPE-2; GLUCOSE; SCORE; TRIGLYCERIDES; ASSOCIATIONS; PREVALENCE; ADIPOSITY;
D O I
10.1007/s00592-019-01375-w
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Aims To determine the potential risk factors and construct the predictive model of diabetic risk among a relatively low risk middle-aged and elderly Chinese population. Methods Information of participants was collected in the Dongfeng-Tongji cohort study, a perspective cohort study of Chinese occupational population. The main outcome was incident type 2 diabetes (T2DM). Based on the conventional risk factors of diabetes, we defined low risk participants without underlying diseases such as coronary heart disease, stroke, cancer, dyslipidemia, hypertension, metabolic syndrome, obesity and family history of diabetes. Totally, 4833 participants from the Dongfeng-Tongji cohort study were enrolled, and of them, 171 had an incident diagnosis of T2DM during 4.6 years of follow-up period. A Cox proportional hazards model was used to estimate effects of risk factors. The restricted cubic spline regression and the Youden index were used to explore the optimal cutoffs of risk factors, and the C index was used to assess the discrimination power of prediction models. Results There were significant linear relationships between BMI/TG level/fasting glucose level and incident diabetic risk among low risk participants. In the restricted cubic spline regression, when fasting glucose level was above 5.4 mmol/L, TG above 1.06 mmol/L and BMI above 22 kg/m(2), the HRs (95% CIs) of diabetes were above 1.0. The detailed HRs (95% CI) were 1.29 (1.01, 1.64), 2.57 (1.00, 6.58), and 1.49 (1.00, 2.22), respectively. The optimal cutoff determined by the Yonden index was 1.1 mmol/L for TG, 24 kg/m(2) for BMI and 5.89 mmol/L for fasting plasma glucose, respectively. The C index was 0.75 (95% CI: 0.7-0.81) when age, sex, smoke status, physical activity, BMI (< 24 kg/m(2) and >= 24 kg/m(2)), TG (< 1.1 mmol/L and >= 1.1 mmol/L), and FPG (< 5.89 mmol/L and >= 5.89 mmol/L) were introduced into the diabetes predictive model. Conclusions Fasting plasma glucose level, BMI, and triglyceride level were still dominated factors to predict 5-year diabetic risk among the relatively low risk participants. The cutoff values for fasting plasma glucose, TG, and BMI set as 5.89 mmol/L, 1.1 mmol/L, and 24 kg/m(2), respectively, had the best predictive discrimination of diabetes.
引用
收藏
页码:63 / 70
页数:8
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