A. N. Goudswaard|Ronald P. Stolk|Peter Zuithoff|Guy E.H.M. Rutten
Patient Characteristics do not Predict Poor Glycaemic Control in type 2 Diabetes Patients Treated in Primary Care
University Medical Center Utrecht|University Medical Center Utrecht|University Medical Center Utrecht|University Medical Center Utrecht
many diabetic patients general practice achieve good glycaemic control aim study assess characteristics type 2 diabetes patients treated primary care predict poor glycaemic control hba1c 7 data collected medical records 1641 patients included mean hba1c 71sd 17 42 hba1c 7 univariate analysis younger age longer duration diabetes higher levels blood glucose diagnosis recent fasting blood glucose fbg total cholesterol triglyceride higher body mass index bmi treatment oral hypoglycaemic agents oha treatment insulin gpvisits diabetes last year lower educational level associated poor control multiple linear regression multiple logistic regression higher levels fbg odds ratio 16 95 confidence interval ci 149 170 treatment oha 21 95 ci 141 304 treatment insulin 72 95 ci 418 1252 lower educational level 126 95 ci 101 156 independently associated poor levels hba1c fbg levels excluded model higher blood glucose diagnosis higher values triglyceride total cholesterol younger age predicted poor glycaemic control variables explained 15 variation hba1c conclusion prediction poor glycaemic control patient characteristics diabetic patients general practice hardly possible fbg appeared strong predictor hba1c underlines usefulness simple test daily diabetes care worse metabolic control treated either oha insulin suggests current treatment regimes might sufficiently applied reach targets care providers diabetes care attentive patients lower educational level