Estimating the risk of cardiovascular outcomes and all‐cause mortality in individuals with type 2 diabetes: Validation of the UKPDS outcomes model using TECOS and EXSCEL data
Ruth L. Coleman, Amanda I. Adler, Philip M. Clarke, Darren K. McGuire, Rury R. Holman

TL;DR
This study validates a diabetes risk model using two clinical trials, finding it accurately predicts cardiovascular risks but underestimates outcomes in one trial.
Contribution
The study validates the UKPDS outcomes model for cardiovascular risk in type 2 diabetes using real-world trial data.
Findings
The UKPDS-OM2 model accurately simulated relative risks in both TECOS and EXSCEL trials.
The model underestimated primary outcomes by about one-third in the EXSCEL trial arms.
The model's accuracy was confirmed for cardiovascular death, MI, stroke, and all-cause mortality.
Abstract
To evaluate United Kingdom Prospective Diabetes Study Outcomes Model version 2 (UKPDS‐OM2) cardiovascular risk estimates for people with type 2 diabetes using TECOS and EXSCEL data. We compared model‐simulated and TECOS and EXSCEL observed event rates for the composite outcome of cardiovascular death, myocardial infarction (MI) or stroke, each component, and all‐cause mortality. Risk factors analysed were age, sex, race/ethnicity, height, diabetes duration, atrial fibrillation, albuminuria, and baseline plus annual measures of smoking, HDL‐cholesterol, LDL‐cholesterol, weight, systolic blood pressure, HbA1c, heart rate, white cell count, haemoglobin, and estimated glomerular filtration rate. Other factors were prior ischemic heart disease, heart failure, amputation, blindness, kidney failure, MI, stroke, and diabetic foot ulcer. Median follow‐up was 3.0 and 3.2 years for the 14 671…
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Taxonomy
TopicsHealth Systems, Economic Evaluations, Quality of Life · Diabetes, Cardiovascular Risks, and Lipoproteins · Advanced Causal Inference Techniques
