Impact of Simulated Risk Factor Management on Cardiovascular Disease and Costs in Type 2 Diabetes Using the <scp>ABC</scp> Model

AIMS: We evaluated the impact of scenario-based multifactorial control on the 3-year incidence of fatal/non-fatal cardiovascular disease (CVD) and associated healthcare costs in Asian patients with type 2 diabetes (T2D). MATERIALS AND METHODS: < 7%, blood pressure [BP] < 130/80 mmHg, risk-stratified LDL-C target [ABC], smoking cessation and weight reduction) on the incidence of fatal/non-fatal CVD (ischaemic heart disease and stroke) in patients with T2D enrolled from 11 Asian countries/jurisdictions in the Joint Asia Diabetes Evaluation (JADE) Register. We estimated the costs of these simulated CVD events and potential cost savings with multifactorial intervention. RESULTS: ), 17 151 (16.5%) had prior CVD and 86 807 (83.5%) had no CVD at baseline. In the CVD group, 1.5% achieved all three ABC targets and 5.1% in the nonCVD group at baseline. In the CVD group, the estimated incidence rate for CVD was 61.60 per 1000-person-years (PY), and 11.65 per 1000-PY in the non-CVD group. Simulated achievement of all three ABC targets reduced the incidence rates by 35.1%-40.01% per 1000-PY in the CVD group and by 30.2%-8.13% per 1000-PY in the non-CVD group. In China, these scenario-based simulations might avert 1 177 682 CVD events per year with a potential saving of US$ 11 292 823 476. CONCLUSIONS: Multifactorial management of cardiometabolic risk factors may have a substantial impact on CVD prevention, with cost savings in patients with T2D.