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Three-year trajectories of metabolic risk factors predict subsequent long-term mortality in patients with type 2 diabetes
- Source :
- Diabetes research and clinical practice. 179
- Publication Year :
- 2020
-
Abstract
- Aim This study aims to evaluate the associations between 3-year trajectories of metabolic risk factors and subsequent mortality in patients with type 2 diabetes. Methods A total of 6400 persons aged ≥ 30 years with type 2 diabetes and ≥ 3 years of follow-up period were included. The cluster analysis determined the patterns of 3-year trajectories, and Cox proportional hazards models evaluated the associations between patterns and mortality. Results Three trajectory subgroups of metabolic risk factors, namely, cluster 1, normal; cluster 2, high–stable or reducing with high level at baseline; and cluster 3, fluctuation: elevated and decreasing, were generated. The clusters 2 and 3 of body mass index (BMI), fasting plasma glucose (FPG), HbA1c, and triglyceride (TG) trajectories were associated with increased risks of all-cause mortality compared with cluster 1 (hazard ratio = 1.27, 95% confidence interval = 1.06–1.51 and 1.45, 1.19–1.78 for BMI; 1.41, 1.22–1.62 and 1.81, 1.38–2.38 for FPG; 1.42, 1.23–1.64 and 1.47, 1.23–1.75 for HbA1c; 1.34, 1.10–1.63 and 2.40, 1.30–4.37 for TG, respectively). For the systolic blood pressure trajectory, only cluster 3 was associated with an increased mortality risk relative to cluster 1 (1.76, 1.13–2.77). Conclusions Long-term metabolic risk factor trajectories may be associated with subsequent mortality.
- Subjects :
- Blood Glucose
Endocrinology, Diabetes and Metabolism
Type 2 diabetes
Body Mass Index
chemistry.chemical_compound
Endocrinology
Risk Factors
Diabetes mellitus
Internal Medicine
medicine
Humans
In patient
Triglycerides
Proportional Hazards Models
Triglyceride
Proportional hazards model
business.industry
Metabolic risk
General Medicine
Fasting
medicine.disease
Blood pressure
chemistry
Diabetes Mellitus, Type 2
business
Body mass index
Demography
Subjects
Details
- ISSN :
- 18728227
- Volume :
- 179
- Database :
- OpenAIRE
- Journal :
- Diabetes research and clinical practice
- Accession number :
- edsair.doi.dedup.....59ba78dee2ddb3d0b64ad40cc02d5128