COMPLICATION RISK ESTIMATION OF TYPE 2 DIABETES THROUGH GLYCEMIC CONTROL IN A BRAZILIAN PRIVATE HEALTHCARE INSURANCE- TEN-YEAR SIMULATION ANALYSIS USING MONTE CARLO MODEL.
Author(s)
Luciana Bahia, PHD, Pharmacoeconomics Coordinator of Brazilian Society of Diabetes1, Ana Luiza Braz Pavão, MD, Epidemiology Manager2, Camila Pepe, graduate, degree, Modelling Manager2, Vanessa Damázio Teich, graduate, degree, Modelling Manager2, João Paulo Reis Neto, MD, Health Plan Director31Brazilian Society of Diabetes, Rio de Janeiro, Rio de Janeiro, Brazil; 2 MedInsight Consulting, Rio de Janeiro, Rio de Janeiro, Brazil; 3 CAPESESP/CAPESAUDE, Rio de Janeiro, RJ, Brazil
OBJECTIVES: To compare the effects of adequate and inadequate glycemic control, measured by HbA1c levels, on long-term complications of type 2 diabetes patients of a brazilian healthcare insurance plan, using a computer-based Diabetes Mellitus Model (DDM). METHODS: The DDM predicts short- and long-term complications over ten years using data from previous published studies. Demographic and clinical model parameters were based on 400 type 2 diabetes patients from a private healthcare plan. Two simulations were conducted: in the first scenario, patients stayed on target - HbA1c levels at 7% - during 10 years (adequate glycemic control); in the second scenario, patients stayed on baseline values and had a 2% increase in HbA1c levels during the 10-year period (inadequate glycemic control). Scenarios were then compared in respect to occurrence of disease complications. RESULTS: The relative risks (RR, simulations 1/2) were 0.87, 0.80, 0.71, and 0.90, respectively, for the occurrence of ophthalmic, renal, neural and vascular, and cardiovascular complications. Simulation 1 had a mortality risk reduction of 11%, compared to simulation 2. The RR ratios for specific events, such as photocoagulation, cataract extraction, macular edema, dialysis, amputation, myocardial infarction, and heart failure were: 0.96, 0.82, 0.61, 0.77, 0.88, 0.86, 0.76, respectively. CONCLUSION: Although there is a need to corroborate the results of these simulations with real, long-term clinical data, the computer-based model estimates have shown lower complication rates for all events evaluated and a reduction in mortality risk in adequate glycemic control group, comparatively to inadequate glycemic control group, using a 10-year time horizon, in a brazilian private healthcare insurance population.
Conference/Value in Health Info
2007-09, ISPOR Latin America 2007, Cartagena, Colombia
Value in Health, Vol. 10, No. 6 (November/December 2007)
Code
PDB4
Topic
Methodological & Statistical Research
Topic Subcategory
Modeling and simulation
Disease
Diabetes/Endocrine/Metabolic Disorders
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