Diabetes complications

Identifying subgroups benefiting from intensive glycaemic treatment to improve renal outcomes in type 2 diabetes: Insights from the ACCORD trial

Diabetes Obes MetabPublished Secondary analysis of the ACCORD randomised trial

Authors' conclusion

Through innovative machine learning, we identified ACCORD subgroups benefitting significantly from intensive glycaemic therapy for renal outcomes, without increased cardiovascular or hypoglycaemic risks.

Study context

Population
ACCORD trial population with T2D
Comparison
Intensive vs standard glucose-lowering therapy
Primary endpoint
≥50% decline in baseline eGFR or end-stage renal disease (ESRD)
Methodological detailsmachine learning subgroup analysis, causal tree model, model-based recursive partitioning, internal cross-validation
  • Machine learning subgroup analysis
  • Causal tree model
  • Model-based recursive partitioning
  • Internal cross-validation

Primary result

As reported in the abstract

Primary composite renal outcome (≥50% eGFR decline or ESRD)
Fully adjusted HR (95% CI)P value
Node 4no CV history, SBP ≤142.67 mm Hg, TG ≤172 mg/dL
0.66(0.49–0.89)
P = 0.006
Node 7no CV history, SBP 142.67-154 mm Hg
0.67(0.49–0.93)
P = 0.016

Further findings

Doubling of serum creatinine, Node 4

Fully adjusted HR (95% CI)P value
Node 40.59 (0.36–0.98)P = 0.041

End-stage renal disease (ESRD), Node 7

Fully adjusted HR (95% CI)P value
Node 70.35 (0.17–0.74)P = 0.0057

Safety

CV risk and hypoglycaemic events, Nodes 4 and 7

Neither node 4 nor node 7 displayed elevated cardiovascular risk or hypoglycaemic events

Original publication

Identifying subgroups benefiting from intensive glycaemic treatment to improve renal outcomes in type 2 diabetes: Insights from the ACCORD trial. Diabetes Obes Metab. Published 9 December 2024. doi:10.1111/dom.16111

Composed by AI from the published abstract and checked against it. How Briefs are made →

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