Ranking the Diabetes-related Safety Profile of Different Statin Drugs

Statins are widely prescribed for cardiovascular disease prevention, but their potential to increase diabetes risk has prompted regulatory warnings. Different statin drugs have varying physicochemical properties, yet comprehensive comparative assessments of their individual diabetes-related safety profiles remain limited in post-marketing surveillance data. Therefore, this study aimed to evaluate and compare the risk of diabetes-related adverse events among different statin drugs using pharmacovigilance data.

We analyzed adverse event reports from the FDA Adverse Event Reporting System (FAERS) database from 2004 to 2022. Diabetes-related adverse events were identified using relevant MedDRA Preferred Terms. Four pharmacovigilance algorithms—Reporting Odds Ratio (ROR), Medicines and Healthcare products Regulatory Agency (MHRA) standard method, Bayesian Confidence Propagation Neural Network, and Multi-Item Gamma Poisson Shrinkage—were employed to detect signals. Positive signals were defined when all four methods showed significance. Outcome severity and time-to-event were also analyzed.

Among 13,438,409 ADE reports, 63,583 identified statins as primary suspect drugs, with 11,562 reporting diabetes-related events. Positive signals were detected for atorvastatin, rosuvastatin, simvastatin, pravastatin, and pitavastatin. Signal strength ranking showed atorvastatin had the strongest association (ROR 36.70; 95% CI 35.92-37.51), followed by rosuvastatin (ROR 9.63; 95% CI 9.10-10.19), pitavastatin (ROR 5.46; 95% CI 4.03-7.41), simvastatin (ROR 2.96; 95% CI 2.54-3.45), and pravastatin (ROR 2.82; 95% CI 2.14-3.71). In patients under 45, only atorvastatin showed a positive signal. Atorvastatin was associated with a higher risk of serious adverse events (PRR=1.37; 95% CI: 1.09-1.71) with a median time to event of 1,012 days.

Our findings revealed differences in diabetes-related risk profiles among statins, with atorvastatin demonstrating the strongest signals across different age groups. The observed risk hierarchy may be attributed to differences in lipophilicity, potency, and metabolic effects. The age-dependent patterns and extended time-to-event for diabetic events underscore the importance of long-term monitoring, complementing clinical trial data with post-marketing surveillance evidence for improved statin selection.

Different statins demonstrate varying associations with diabetes-related adverse events, with atorvastatin showing the strongest signal across age groups. These findings may inform clinical decision-making when prescribing statins, particularly for patients with pre-existing diabetes risk factors.