Factors Predictive of Weight Gain and Implications for Modeling in Type 2 Diabetes Patients Initiating Metformin and Sulfonylurea Combination Therapy

摘要: The objectives of this study were to (a) assess the factors associated with weight gain in a population type 2 diabetes patients escalating from metformin (M) M+ sulfonylurea (M + S) and (b) evaluate whether healthcare resource utilization being overweight or obese is underestimated typical health economic evaluations. The was retrospective cohort using UK Clinical Practice Research Datalink linked Hospital Episode Statistics (CPRD/HES) data. association between baseline phenotypic assessed logistic regression. Hospitalization incidence rates per 1000 person-years for major diabetes-related complications according body mass index (BMI) at estimated data (observed) compared those obtained validated model (predicted). 11,071 included analysis; approximately 40% gained first year following escalation M + S. Baseline age, HbA1c gender found be predictors [odds ratios 0.99 (1-year increment), 1.11 (1% increment) 0.81 (female vs male), respectively, p < 0.001]. Observed predicted hospitalization 265 13 (normal), 297 31 (overweight), 223 50 (obese) 378 41 (severe obese). This analysis suggests there are identifiable patient characteristics predictive that may informative clinical decision making context M an M + S regimen. admissions people generally under-predicted. A particular focus future research should need models make likelihood experiencing event conditional on BMI. Takeda Development Centre Europe Ltd., UK.