Objectives: Statins are essential in the prevention of cardiovascular disease; however, their association with type 2 diabetes mellitus (T2DM) risk is concerning. We examined whether genetic susceptibility to T2DM modifies the association between regular statin use and T2DM risk. Methods: This study included 447 176 individuals from the UK Biobank without baseline diabetes or major cardiovascular disease. Statin use was recorded at baseline, and T2DM incidence was determined using clinical records. Polygenic risk scores (PRS) for T2DM risk were provided by the UK Biobank. Using propensity scores adjusted for age, sex, body mass index, and comorbidities, 14 831 statin users were matched with 37 060 non-users. Cox proportional hazards models were used to estimate the interaction effect of statin use and PRS on T2DM incidence, adjusting for key confounders. Results: In the propensity-matched cohort, 3675 of 51 891 participants developed T2DM over a mean follow-up period of 13.7 years. Within the top 5% of the PRS distribution, per 1000 person-years, the incidence of T2DM was 15.42 for statin users versus 12.18 for non-users. Among the lowest 5%, the incidence was 1.90 for statin users and 1.65 for non-users. Based on the Cox proportional hazards model, regular statin use was associated with a 1.24-fold increased T2DM risk (95% confidence interval [CI], 1.15 to 1.33). Furthermore, PRS exhibited a significant multiplicative interaction with regular statin use (odds ratio, 1.10; 95% CI, 1.02 to 1.19). Conclusions PRS may help identify individuals particularly susceptible to the diabetogenic effects of statins, providing a potential path for personalized cardiovascular disease management.

Objectives: Statins are essential in the prevention of cardiovascular disease; however, their association with type 2 diabetes mellitus (T2DM) risk is concerning. We examined whether genetic susceptibility to T2DM modifies the association between regular statin use and T2DM risk. Methods: This study included 447 176 individuals from the UK Biobank without baseline diabetes or major cardiovascular disease. Statin use was recorded at baseline, and T2DM incidence was determined using clinical records. Polygenic risk scores (PRS) for T2DM risk were provided by the UK Biobank. Using propensity scores adjusted for age, sex, body mass index, and comorbidities, 14 831 statin users were matched with 37 060 non-users. Cox proportional hazards models were used to estimate the interaction effect of statin use and PRS on T2DM incidence, adjusting for key confounders. Results: In the propensity-matched cohort, 3675 of 51 891 participants developed T2DM over a mean follow-up period of 13.7 years. Within the top 5% of the PRS distribution, per 1000 person-years, the incidence of T2DM was 15.42 for statin users versus 12.18 for non-users. Among the lowest 5%, the incidence was 1.90 for statin users and 1.65 for non-users. Based on the Cox proportional hazards model, regular statin use was associated with a 1.24-fold increased T2DM risk (95% confidence interval [CI], 1.15 to 1.33). Furthermore, PRS exhibited a significant multiplicative interaction with regular statin use (odds ratio, 1.10; 95% CI, 1.02 to 1.19). Conclusions PRS may help identify individuals particularly susceptible to the diabetogenic effects of statins, providing a potential path for personalized cardiovascular disease management.

Objectives: Statins are essential in the prevention of cardiovascular disease; however, their association with type 2 diabetes mellitus (T2DM) risk is concerning. We examined whether genetic susceptibility to T2DM modifies the association between regular statin use and T2DM risk. Methods: This study included 447 176 individuals from the UK Biobank without baseline diabetes or major cardiovascular disease. Statin use was recorded at baseline, and T2DM incidence was determined using clinical records. Polygenic risk scores (PRS) for T2DM risk were provided by the UK Biobank. Using propensity scores adjusted for age, sex, body mass index, and comorbidities, 14 831 statin users were matched with 37 060 non-users. Cox proportional hazards models were used to estimate the interaction effect of statin use and PRS on T2DM incidence, adjusting for key confounders. Results: In the propensity-matched cohort, 3675 of 51 891 participants developed T2DM over a mean follow-up period of 13.7 years. Within the top 5% of the PRS distribution, per 1000 person-years, the incidence of T2DM was 15.42 for statin users versus 12.18 for non-users. Among the lowest 5%, the incidence was 1.90 for statin users and 1.65 for non-users. Based on the Cox proportional hazards model, regular statin use was associated with a 1.24-fold increased T2DM risk (95% confidence interval [CI], 1.15 to 1.33). Furthermore, PRS exhibited a significant multiplicative interaction with regular statin use (odds ratio, 1.10; 95% CI, 1.02 to 1.19). Conclusions PRS may help identify individuals particularly susceptible to the diabetogenic effects of statins, providing a potential path for personalized cardiovascular disease management.

We analyzed the manner and cause of death in 1,193 forensic autopsies from the Jungbu province (central part of South Korea) conducted by the National Forensic Service Daejeon Institute in 2022. Analysis of the manner of deaths revealed that 43.1% (514/1,193 cases) were natural deaths; 42.8% (511/1,193 cases) were unnatural deaths; and 14.1% (168/1,193 cases) were unknown. Among the unnatural deaths, the major manner of death was 44.6% (228/511 cases) by accidents, 34.1% (174/511 cases) by suicide, 13.5% (69/511 cases) undetermined, and 7.8% (40/511 cases) by homicide. Among the unnatural deaths, the major causes of death was 38.4% (196/511 cases) by trauma, 20.4% (104/511 cases) by poisoning, and 17.6% (90/511 cases) by asphyxia. Falling was the major cause of death by trauma (58.7%, 115/196 cases), and strangulation was the major cause of death by asphyxia (75.6%, 68/90 cases). Among the natural deaths, heart disease was the major cause (46.7%, 240/514 cases), followed by endocrine, nutritional and metabolic diseases (14.0%, 72/514 cases). A time-series statistical analysis and comparison of the manner and cause of deaths in this province may facilitate more advanced interpretations relating to both public safety and healthcare in the future.

We analyzed the manner and cause of death in 1,193 forensic autopsies from the Jungbu province (central part of South Korea) conducted by the National Forensic Service Daejeon Institute in 2022. Analysis of the manner of deaths revealed that 43.1% (514/1,193 cases) were natural deaths; 42.8% (511/1,193 cases) were unnatural deaths; and 14.1% (168/1,193 cases) were unknown. Among the unnatural deaths, the major manner of death was 44.6% (228/511 cases) by accidents, 34.1% (174/511 cases) by suicide, 13.5% (69/511 cases) undetermined, and 7.8% (40/511 cases) by homicide. Among the unnatural deaths, the major causes of death was 38.4% (196/511 cases) by trauma, 20.4% (104/511 cases) by poisoning, and 17.6% (90/511 cases) by asphyxia. Falling was the major cause of death by trauma (58.7%, 115/196 cases), and strangulation was the major cause of death by asphyxia (75.6%, 68/90 cases). Among the natural deaths, heart disease was the major cause (46.7%, 240/514 cases), followed by endocrine, nutritional and metabolic diseases (14.0%, 72/514 cases). A time-series statistical analysis and comparison of the manner and cause of deaths in this province may facilitate more advanced interpretations relating to both public safety and healthcare in the future.

We analyzed the manner and cause of death in 1,193 forensic autopsies from the Jungbu province (central part of South Korea) conducted by the National Forensic Service Daejeon Institute in 2022. Analysis of the manner of deaths revealed that 43.1% (514/1,193 cases) were natural deaths; 42.8% (511/1,193 cases) were unnatural deaths; and 14.1% (168/1,193 cases) were unknown. Among the unnatural deaths, the major manner of death was 44.6% (228/511 cases) by accidents, 34.1% (174/511 cases) by suicide, 13.5% (69/511 cases) undetermined, and 7.8% (40/511 cases) by homicide. Among the unnatural deaths, the major causes of death was 38.4% (196/511 cases) by trauma, 20.4% (104/511 cases) by poisoning, and 17.6% (90/511 cases) by asphyxia. Falling was the major cause of death by trauma (58.7%, 115/196 cases), and strangulation was the major cause of death by asphyxia (75.6%, 68/90 cases). Among the natural deaths, heart disease was the major cause (46.7%, 240/514 cases), followed by endocrine, nutritional and metabolic diseases (14.0%, 72/514 cases). A time-series statistical analysis and comparison of the manner and cause of deaths in this province may facilitate more advanced interpretations relating to both public safety and healthcare in the future.