Estudio y prevalencia de la diabetes mellitus postrasplante; análisis en un grupo de pacientes trasplantados renales.

INTRODUCTION: The onset of post-transplant diabetes mellitus (PTDM) among kidney recipients is associated with an increased risk of graft failure and high rates of morbidity and mortality. Minimize the risk of PTDM is a priority for improving long-term survival rates. Aims. This study aims to assess the prevalence of PTDM in a renal transplant patient population, to identify risk factors and assess the graft and patient survival. METHODS: The sample consisted of 112 renal transplant patients , 69 men and 43 women , renal transplant , who attended for five years post-transplant consultation. Were analyzed as potential risk factors for PTDM : age , sex, body mass index (BMI ) , obesity , VHC , hypertension, dyslipidemia , total cholesterol (TC) , serum triglyceride and immunosuppressive therapy ( cyclosporine , tacrolimus , mycophenolate mofetil and sirolimus ), also the prevalence of acute rejection episodes was evaluated. RESULTS: The prevalence of PTDM was 24.2 %, compared with 85 patients (75.8%) with standard glucose (PGN) . PTDM patients showed a higher BMI , a higher percentage of overweight , dyslipidemia , total cholesterol levels , triglycerides and performed a greater percentage of patients with PDMPT including Mycophenolate mofetil was administered. CONCLUSIONS: There is a high incidence of PTDM in kidney recipients , the importance of weight control and strict adherence to all identified risk factors , as well as in minimizing the doses of immunosuppressive therapies to prevent the onset of PTDM.

Expert study: A bolus calculator improves glycemic control and quality of life of type 1 diabetic patients (T1DM) (preliminary results)

Aims: To evaluate the impact on glycemic control and quality of life of a bolus calculator. Methods: Multicentre randomized prospective crosssectional study. Patients were randomized to control phase (3 months; calculation of prandial insulin according to insulinto-carbohydrate ratio and insulin sensitivity factor using a single strip meter) or intervention phase (3 months; calculation of prandial insulin with a bolus advisor), with a washout period (3 months). Patients wore a continuous glucosensor (7 days) and answered a quality of life questionnaire at the beginning and at the end of each phase. A questionnaire of satisfaction was obtained at the end of both phases. Inclusion criteria: Adults; T1DM> 1 year, HbA1c > 7.5%, basal-bolus therapy with insulin analogs, experience with carbohydrate Results: Data from the first 32 subjects with at least 1 ended phase (27 females, age 38 – 11 years, diabetes duration 16.8 – 7.5 years). Basal characteristics were comparable independently of the starting phase. No differences were found between phases in terms of mean blood glucose, standard deviation (from meter neither from sensor) and satisfaction. Conclusions: The use of a bolus calculator improves glycemic control and quality of life of T1DM subjects.