Therapeutic inertia in patients treated with two or more antidiabetics in primary care: Factors predicting intensification of treatment.

AIMS: To determine the patterns and predictors of treatment intensification in patients with type 2 diabetes on ≥2 non-insulin antidiabetic drugs (NIADs) and inadequate glycaemic control in primary care in Catalonia, Spain. MATERIAL AND METHODS: This was a retrospective analysis using electronic medical records from patients with HbA1c ≥ 7% and a first prescription for a new NIAD or insulin recorded from January 2010 to December 2014. Therapeutic inertia was defined as no intensification if HbA1c was ≥8% at baseline or during follow-up. Time to first intensification was evaluated by time-to-event analysis, and factors predicting intensification through a competing-risk regression model. RESULTS: Among 23 678 patients with HbA1c ≥ 7%, 26.2% were censored without treatment intensification after a median follow up of 4.2 years. Among the 12 730 patients in the subgroup with HbA1c ≥ 8% at baseline or during follow-up, therapeutic inertia was present in 18.1% of cases. In the overall cohort, mean HbA1c at initiation of insulin and NIAD were 9.4% ± 1.5% and 8.7% ± 1.3%, respectively. Median time to first intensification was 17.1 months in patients with HbA1c 8.0% to 9.9%, and 10.1 months in those with HbA1c > 10%. Variables strongly associated with intensification were HbA1c values 8.0% to 9.9% (subhazard ratio [SHR], 1.7; 95% CI, 1.65-1.78) and >10% (SHR, 2.5; 95% CI, 2.37-2.68); diabetes duration ≥20 years (SHR, 1.25; 95% CI, 1.11-1.41) and, to a lesser extent, female gender, presence of comorbidities, chronic kidney disease and microvascular complications. CONCLUSIONS: Intensification was not undertaken in 1 in 5 patients. Both HbA1c thresholds and time until therapy intensification exceeded current recommendations

DataSheet_1_Obesity and related comorbidities in a large population-based cohort of subjects with type 1 diabetes in Catalonia.docx

IntroductionObesity, an increasing global health problem, can affect people with other disease conditions. The prevalence of obesity in people with type 1 diabetes (T1D) is not well known. The aim of this study was to describe extensively the characteristics and prevalence of different classes of obesity according to BMI (body mass index) categories in a large cohort of patients with T1D.Material and methodsThis was a retrospective, cross-sectional study in Catalonia. We reviewed all patients with T1D diagnosis, ≥ 18 years old and with BMI data from the SIDIAP database. Sociodemographic and clinical data, cardiovascular risk factors, laboratory parameters and concomitant medications were collected.ResultsA total of 6,068 patients with T1D were analyzed. The prevalence of obesity in the total sample was 18% (13.8% with class 1 obesity [BMI 30-34.9 kg/m2]). Patients with obesity had a higher prevalence of other cardiovascular risk factors (i.e. hypertension was 61.4% vs. 37.5%; dyslipidemia 63.6% vs 44%, and chronic kidney disease 38.4% vs. 24.4%; p 25 kg/m2. Patients with obesity did not have poorer glycemic control.ConclusionThe presence of obesity in people with T1D is frequent and cardiovascular risk factors are more common and more poorly controlled in T1D patients with obesity.</p

Hazard ratios and 95% confidence intervals of multivariate models for the risk of incident T2D in patients with prediabetes at 3 years of follow-up according to FLI categories.

<p>Hazard ratios and 95% confidence intervals of multivariate models for the risk of incident T2D in patients with prediabetes at 3 years of follow-up according to FLI categories.</p

Sociodemographic, lifestyle, and clinical characteristics of subjects with prediabetes at baseline, according to baseline FLI.

<p>Sociodemographic, lifestyle, and clinical characteristics of subjects with prediabetes at baseline, according to baseline FLI.</p

Hazard ratios and 95% confidence intervals for the risk of incident T2D in patients with prediabetes at 3 years of follow-up according to tertiles of surrogate markers of insulin resistance.

<p>Hazard ratios and 95% confidence intervals for the risk of incident T2D in patients with prediabetes at 3 years of follow-up according to tertiles of surrogate markers of insulin resistance.</p

Analysis of the effectiveness of second oral glucose-lowering therapy in routine clinical practice from the mediterranean area: A retrospective cohort study

Aim: To compare the changes in HbA1c, the effect on body weight or both combined after the addition of a DPP-4i, SGLT-2i, or sulfonylureas (SU) to metformin in real-world condition. Methods: We used a primary care SIDIAP database. The included subjects were matched by propensity score according to baseline age, sex, HbA1c, weight, inclusion date, diabetes duration, and kidney function. Results: Mean absolute HbA1c reduction was: 1.28% for DPP4i, 1.29% for SGLT2i and 1.26% for SU. Mean weight reduction was: 1.21 kg for DPP4i, 3.47 kg for SGLT2i and 0.04 kg for SU. The proportion of patients who achieved combined target HbA1c (≥0.5%) and weight (≥3%) reductions after the addition of DPP-4i, SGLT-2i or SU, was: 24.2%, 41.3%, and 15.2%, respectively. Small differences in systolic blood pressure reduction (1.07, 3.10 and 0.96 mmHg, respectively) were observed in favour of SGLT-2i. Concerning the lipids, we observed small differences, with an HDL-cholesterol increase with SGLT-2i. Conclusion: Our real-world study showed that the addition of SGLT-2i to metformin was associated with greater reductions in weight and the combination target of weight-HbA1c compared to SU and DPP4 inhibitors. However, similar hypoglycaemic effectiveness was observed among the three-drug classes

Analysis of the Adherence and Safety of Second Oral Glucose-Lowering Therapy in Routine Practice From the Mediterranean Area: A Retrospective Cohort Study

The aims of our study was compare adherence measured by the medical possession ratio (MPR), time until discontinuation and describe adverse events after adding a DPP-4i, SGLT-2i, or sulfonylureas (SU) to metformin in a primary care population with insufficient glycemic control. We used routinely-collected health data from the SIDIAP database. The included subjects were matched by propensity score. The follow-up period was up to 24 months or premature discontinuation. The primary outcomes were the percentage of subjects with good adherence, treatment discontinuation and adverse events among treatment groups. The proportion of patients with good adherence (MPR> 0.8) after the addition of DPP-4i, SGLT-2i or SU was 53.6%, 68.7%, and 43.0%, respectively. SGLT-2i users were 1.7 times more likely to achieve good adherence compared with DPP-4i users (odds ratio [OR]:1.72, 98% confidence interval [CI]:1.51, 1.96), and 2.8 times more likely compared with SU users (OR: 0.35, 98% CI: 0.07, 0.29). The discontinuation hazard ratios were 1.43 (98%CI: 1.26; 1.62) and 1.60 (98%CI: 1.42; 1.81) times higher among SGLT-2i and SU users than DPP-4i users during the follow-up period. No differences were observed for adverse events among the treatment groups. In conclusion, in our real-world setting, the combination of SGLT-2i with metformin was associated with better adherence. The mean time until discontinuation was longer in the SGLT-2i group in comparison with the DPP-4i or SU groups