A prediction model on incident chronic kidney disease among individuals with type 2 diabetes in the United States
Authors' conclusion
Incident CKD prediction among individuals with T2D was developed and validated for use in decision support of CKD prevention.
Study context
- Population
- Patients with T2D free of chronic kidney disease (CKD), ACCORD trial data; external validation in the Harmony Outcomes Trial2,257 events
- Participants
- 6,006 patients
- Outcome
- Incident CKD
- Follow-up
- Median 3 years
Methodological detailstime-varying Cox model, decomposition analysis
- Time-varying Cox model
- Decomposition analysis
Performance
As reported in the abstract
Model performance in external validation (Harmony Outcomes Trial)
Discrimination, C-statistic
0.772
95% CI 0.767–0.805
Calibration, Brier Score
0.0504
95% CI 0.0477–0.0531
Original publication
A prediction model on incident chronic kidney disease among individuals with type 2 diabetes in the United States. Diabetes Obes Metab. Published 19 June 2023. doi:10.
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