Search

Aims: Several drug classes are now available to achieve a satisfactory metabolic control in patients with type 2 diabetes (T2DM), but patients’ preferences may differ. Methods: In a discrete-choice experiment, we tested T2DM patients’ preferences for recent antidiabetic drugs, in the event that their treatment might require intensification. The following attributes were considered: (a) route of administration; (b) type of delivery; (c) timing; (d) risk of adverse events; (e) effects on body weight. Twenty-two possible scenarios were built, transferred into 192 paired choices and proposed to 491 cases naïve to injectable treatments and 171 treated by GLP-1 receptor agonists (GLP-1RAs). Analyses were performed by descriptive statistics and random effects logit regression model. Results: Preferences according to dosing frequency, risk of nausea and urinary tract infections (UTls) were similar across groups, age, sex and BMI. Administration route and delivery type accounted for 1/3 of relative importance; the risk of UTIs, nausea and dosing frequency for ≈ 20% each, and weight loss for only 6%. Two significant interactions emerged (p < 0.01): type of delivery × group, and weight change × BMI class. Irrespective of previous treatment, the three preferred choices were injectable, coupled with weekly dosing and a ready-to-use device (first two choices). In a regression model, being naïve or non-naïve changed the ranking of preferences (p < 0.001), and the order was systematically shifted towards injectable medications in non-naïve subjects. Conclusion: Easy-to-deliver, injectable treatment is preferred in T2DM, independently of treatment history, and previous experience with GLP-1RAs strengthens patients’ willingness to accept injectable drugs.

Diabetic foot syndrome (DFS) increases the risk for atherosclerotic cardiovascular disease (ASCVD), chronic kidney disease (CKD), or mortality. The present study aims at ascertaining whether such DFS-related excess risk differs between genders, retrospectively investigating a population with diabetes from Tuscany, Italy, followed-up for 6 years (2011–2016). People with diabetes living in Tuscany on January 1st 2011 identified by administrative databases, were divided by baseline history of prior DFS hospitalizations, stratified by presence/absence of peripheral vascular disease and evaluating, by Cox regression analysis, whether adjusted DFS-related excess risk of incident ASCVD, CKD or mortality differed between genders. In an overall population of 165,650 subjects with diabetes (81,829M/83,821F), basal prevalence of DFS was twice higher among males, who were moreover at a significantly greater risk of all considered outcomes along the 6-year period. On the contrary, baseline DFS significantly increased the hospitalization risk for ASCVD, CKD and mortality equally or at a slightly greater extent in females, while the risk for stroke was significantly associated with DFS only among females (HR: 1.622 (1.314–1.980); p = 0.0001 vs. HR: 1.132 (0.955–1.332); p = NS). This finding was even reinforced in non-vascular DFS, which was associated with a significant raised risk for stroke, heart failure or mortality exclusively in females. In this population, DFS prevalence and overall risk for ASCVD, CKD or mortality were significantly higher among males. Baseline co-presence of DFS, however, conferred a similar adjusted risk for all these outcomes between genders, and in case of non-vascular DFS the risk was significantly increased only among females.

To investigate whether statins reduce the risk to first hospitalization of bacterial infections, in patients with or without diabetes taking into account prior or incident comorbidities. By using administrative databases, the effect of current statin use was measured on the risk of first hospitalizations due to bacterial infections in people living in Tuscany, Italy, in the period January 1, 2011–December 31, 2015, after excluding those with previous statins use. Population was stratified as with (n = 128,207) or without diabetes (n = 3,304,906), and the hospitalization risk was analyzed by a Cox proportional hazards regression analysis after adjusting for age, gender, previous comorbidities, chronic renal failure, and prior or incident cardiovascular diseases. During the 5-year follow-up, 31,543 hospitalizations for bacterial infections were observed: 2.08(2.06–2.10) per 1000 person-year in non-diabetic and 5679: 9.13(8.94–9.32) per 1000 person-year in diabetic population. Diabetes conferred a greater risk of hospitalizations, independently from confounders [adjusted HR (95% CI) 2.04 (1.97–2.10); P