Journal article
Estimating risk factor progression equations for the UKPDS Outcomes Model 2 (UKPDS 90)
J Leal, M Alva, V Gregory, A Hayes, B Mihaylova, AM Gray, RR Holman, P Clarke
Diabetic Medicine | Published : 2021
DOI: 10.1111/dme.14656
Abstract
Objectives: To estimate 13 equations that predict clinically plausible risk factor time paths to inform the United Kingdom Prospective Diabetes Study (UKPDS) Outcomes Model version 2 (UKPDS-OM2). Methods: Data from 5102 UKPDS participants from the 20-year trial, and the 4031 survivors with 10 years further post-trial follow-up, were used to derive equations for the time paths of 13 clinical risk factors: HbA1c, systolic blood pressure, LDL-cholesterol, HDL-cholesterol, BMI, micro- or macro-albuminuria, creatinine, heart rate, white blood cell count, haemoglobin, estimated glomerular filter rate, atrial fibrillation and peripheral vascular disease (PVD). The incidence of events and death pred..
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Grants
Awarded by Horizon 2020 Framework Programme
Funding Acknowledgements
JL acknowledges support from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 115881 (RHAPSODY). This study was also supported by a research grant from the UK Medical Research Council (grant ID: 87366) and NHMRC grants GNT1084347 Centre of Excellence in Population Ageing Research, Australian Research Council (CE170100005 awarded to Prof. Philip M Clarke). BM, AMG and RRH acknowledge support from the NIHR Biomedical Research Centre, Oxford. RRH is an Emeritus NIHR Senior Investigator. The funders had no role in study design, data collection and analysis, decision to publish or preparation of the manuscript.