Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Objectives: The aim of this study is to identify the prevalence of parasuicide and deliberate suicide attempts in the general population of Korea, as well as their associations with sociodemographic risk factors and mental disorders. Methods: This study utilized data from the 2021 National Mental Health Survey of Korea. The survey was conducted between June and August 2021, involving 5,511 respondents aged 18 to 79 years living in communities. The Korean version of the Composite International Diagnostic Interview (K-CIDI) was used as the survey instrument. Logistic regression analysis was employed for statistical analysis. Results: The prevalence of parasuicide was 1.1%, and that of deliberate suicide attempts was 0.9%. The risk of parasuicide increased among younger age, while no significant associations with other sociodemographic factors were found.The risk of deliberate suicide attempts was associated with being divorced, separated or widowed and low income. Both parasuicide and deliberate suicide attempts were associated with depressive disorders, anxiety disorders, alcohol use disorders and nicotine use disorders. Conclusions The sociodemographic risk factors of parasuicide and deliberate suicide attempts are distinct. This study provides valuable insights into the mental disorder-related traits associated with parasuicide and deliberate suicide attempts, which could be useful in developing future suicide prevention programs.

Objectives: The aim of this study is to identify the prevalence of parasuicide and deliberate suicide attempts in the general population of Korea, as well as their associations with sociodemographic risk factors and mental disorders. Methods: This study utilized data from the 2021 National Mental Health Survey of Korea. The survey was conducted between June and August 2021, involving 5,511 respondents aged 18 to 79 years living in communities. The Korean version of the Composite International Diagnostic Interview (K-CIDI) was used as the survey instrument. Logistic regression analysis was employed for statistical analysis. Results: The prevalence of parasuicide was 1.1%, and that of deliberate suicide attempts was 0.9%. The risk of parasuicide increased among younger age, while no significant associations with other sociodemographic factors were found.The risk of deliberate suicide attempts was associated with being divorced, separated or widowed and low income. Both parasuicide and deliberate suicide attempts were associated with depressive disorders, anxiety disorders, alcohol use disorders and nicotine use disorders. Conclusions The sociodemographic risk factors of parasuicide and deliberate suicide attempts are distinct. This study provides valuable insights into the mental disorder-related traits associated with parasuicide and deliberate suicide attempts, which could be useful in developing future suicide prevention programs.

Objectives: The aim of this study is to identify the prevalence of parasuicide and deliberate suicide attempts in the general population of Korea, as well as their associations with sociodemographic risk factors and mental disorders. Methods: This study utilized data from the 2021 National Mental Health Survey of Korea. The survey was conducted between June and August 2021, involving 5,511 respondents aged 18 to 79 years living in communities. The Korean version of the Composite International Diagnostic Interview (K-CIDI) was used as the survey instrument. Logistic regression analysis was employed for statistical analysis. Results: The prevalence of parasuicide was 1.1%, and that of deliberate suicide attempts was 0.9%. The risk of parasuicide increased among younger age, while no significant associations with other sociodemographic factors were found.The risk of deliberate suicide attempts was associated with being divorced, separated or widowed and low income. Both parasuicide and deliberate suicide attempts were associated with depressive disorders, anxiety disorders, alcohol use disorders and nicotine use disorders. Conclusions The sociodemographic risk factors of parasuicide and deliberate suicide attempts are distinct. This study provides valuable insights into the mental disorder-related traits associated with parasuicide and deliberate suicide attempts, which could be useful in developing future suicide prevention programs.

Background: It is well known that a large number of patients with diabetes also have dyslipidemia, which significantly increases the risk of cardiovascular disease (CVD). This study aimed to evaluate the efficacy and safety of combination drugs consisting of metformin and atorvastatin, widely used as therapeutic agents for diabetes and dyslipidemia. Methods: This randomized, double-blind, placebo-controlled, parallel-group and phase III multicenter study included adults with glycosylated hemoglobin (HbA1c) levels >7.0% and <10.0%, low-density lipoprotein cholesterol (LDL-C) >100 and <250 mg/dL. One hundred eighty-five eligible subjects were randomized to the combination group (metformin+atorvastatin), metformin group (metformin+atorvastatin placebo), and atorvastatin group (atorvastatin+metformin placebo). The primary efficacy endpoints were the percent changes in HbA1c and LDL-C levels from baseline at the end of the treatment. Results: After 16 weeks of treatment compared to baseline, HbA1c showed a significant difference of 0.94% compared to the atorvastatin group in the combination group (0.35% vs. −0.58%, respectively; P<0.0001), whereas the proportion of patients with increased HbA1c was also 62% and 15%, respectively, showing a significant difference (P<0.001). The combination group also showed a significant decrease in LDL-C levels compared to the metformin group (−55.20% vs. −7.69%, P<0.001) without previously unknown adverse drug events. Conclusion The addition of atorvastatin to metformin improved HbA1c and LDL-C levels to a significant extent compared to metformin or atorvastatin alone in diabetes and dyslipidemia patients. This study also suggested metformin’s preventive effect on the glucose-elevating potential of atorvastatin in patients with type 2 diabetes mellitus and dyslipidemia, insufficiently controlled with exercise and diet. Metformin and atorvastatin combination might be an effective treatment in reducing the CVD risk in patients with both diabetes and dyslipidemia because of its lowering effect on LDL-C and glucose.