Aims: This study aimed to assess the proportions of type 2 diabetes (T2D) subjects meeting cardiovascular outcome trials (CVOTs) criteria for sodium-glucose cotransporter-2 inhibitors (SGLT-2i) and estimate SGLT2i utilization, along with associated demographic and clinical characteristics, in a primary care setting.
Methods: T2D patients in Italy were selected between January 1, 2021, and December 31, 2022, from The Health Improvement Network (THIN®) database. Representativeness was determined by dividing patients meeting key inclusion criteria for four CVOTs (CANVAS, DECLARE-TIMI 58, EMPA-REG OUTCOME, VERTIS-CV) to the total T2D population. Demographic and clinical characteristics of eligible T2D subjects and SGLT2i users were compared, and logistic regression models assessed the likelihood of receiving SGLT2i.
Results: Out of 17,102 T2D patients, 8,828 met eligibility criteria for at least one CVOT. DECLARE-TIMI 58 exhibited the highest representativeness (51.1%), compared to CANVAS (21.1%), EMPA-REG OUTCOME (5.5%), and VERTIS-CV (4.9%) trials. Eligible CVOTs patients were older (74.6 vs. 68.3 years), with a longer disease duration (10.2 vs. 9.7 years), and higher established cardiovascular disease (CVD) prevalence (36.0 vs. 27.3%) compared to SGLT2i users. Less than 10% of eligible T2D patients received SGLT2i. Males (OR: 1.43; 95%CI: 1.24-1.66) were more likely to be prescribed SGLT2i than other antidiabetic drugs, while the elderly (80 + vs. 40-64 years, OR: 0.17; 95% CI: 0.14-0.22) were less likely. Eligible T2D patients with CVD reported an increased likelihood of receiving SGLT2is compared to other antidiabetics.
Conclusion: This study highlights significant variability in the proportion of T2D subjects meeting SGLT2i CVOT inclusion criteria, with DECLARE-TIMI-58 being the most represented. Low SGLT2i prescription rates in the Italian primary care setting, along with substantial demographic and clinical differences between SGLT-2i users and T2D eligible patients, emphasize the need for targeted interventions to optimize the use of these medications in primary care settings.
Keywords: Antidiabetic drug; Database research; Pharmaco-epidemiology; Primary care; SGLT2 inhibitors.
© 2024. The Author(s).