Clinical utility of novel diabetes subgroups in predicting vascular complications and mortality: up to 25 years of follow-up of the HUNT Study
Authors' conclusion
Cluster assignment did not provide better prediction of vascular complications or all-cause mortality compared with established risk factors.
Study context
- Population
- Adults with adult-onset diabetes from HUNT2 (1995–1997) and HUNT3 (2006–2008), Norwegian Trøndelag Health Study
- Participants
- 1,899 adults
- Exposure
- Diabetes cluster assignment vs established risk factors for predicting vascular complications and mortality
- Outcome
- Predictive ability (C-index, R2) of clusters vs established risk factors for vascular complications and all-cause mortality
- Follow-up
- Median 9-13 years
Methodological detailsdata-driven cluster analysis, Cox proportional hazards models, C-index and R2 prediction comparison
- Data-driven cluster analysis
- Cox proportional hazards models
- C-index and R2 prediction comparison
Main finding
As reported in the abstract
Predictive ability of clusters vs established risk factors
- Retinopathy C-index: clusters
- 0.65 (95% CI 0.63 to 0.68)
- Retinopathy C-index: HbA1c
- 0.65 (95% CI 0.63 to 0.68)
- Retinopathy C-index: fasting C-peptide
- 0.66 (95% CI 0.63 to 0.68)
- CKD C-index: clusters
- 0.74 (95% CI 0.72 to 0.76)
- CKD C-index: TG/HDL ratio
- 0.74 (95% CI 0.71 to 0.76)
- CKD C-index: fasting C-peptide
- 0.74 (95% CI 0.72 to 0.76)
- CKD C-index: baseline eGFR
- 0.76 (95% CI 0.74 to 0.78)
Observational data: associations, not effects.
Original publication
Clinical utility of novel diabetes subgroups in predicting vascular complications and mortality: up to 25 years of follow-up of the HUNT Study. BMJ Open Diabetes Res Care. Published 21 November 2024. doi:10.
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