Effect of SGLT2 Inhibitors on Diabetes Progression in Statin-Treated Patients: A Population-Based Cohort Study.

BACKGROUND

Statins, though widely used, may accelerate diabetes progression, necessitating interventions to counteract this effect.

PURPOSE

To compare the effect of sodium-glucose co-transporter 2 inhibitors (SGLT2is) and sulfonylureas or meglitinides on diabetes progression in individuals receiving statins.

PATIENTS AND METHODS

This retrospective cohort study utilized data from the National Health Insurance Research Database of Taiwan. We included patients with diabetes receiving statins and newly initiated SGLT2is or sulfonylureas/meglitinides between July 1, 2016 and December 31, 2020. Diabetes progression was defined as insulin initiation, increase in antidiabetic medication class, or occurrence of new acute hyperglycemic complications. Propensity score matching was used to adjust baseline characteristics. Cox proportional hazards regression was used to calculate the hazard ratios for diabetes progression between users of SGLT2is and those of sulfonylureas or meglitinides. The statistical significance level was set at 0.05 for all analyses.

RESULTS

SGLT2i users had a significantly lower risk of diabetes progression compared to sulfonylurea/meglitinide users (HR: 0.53, 95% CI: 0.50-0.57, p-value < 0.001). Similar results were found in insulin initiation (HR: 0.48, 95% CI: 0.38-0.61, p-value < 0.001) and increase in antidiabetic medication class (HR: 0.53, 95% CI: 0.50-0.57, p-value < 0.17). However, the risk of new acute glycemic complications did not significantly differ between groups (HR: 2.47, 95% CI: 0.67-9.08, p-value = 0.17).

CONCLUSION

SGLT2is may be an effective second-line therapy for statin-treated patients by slowing diabetes progression and potentially mitigating statin-induced metabolic disturbances. Further research, including randomized controlled trials or observational studies with comprehensive laboratory data, is needed to confirm these findings and evaluate their broader applicability.