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.

Background: and Purpose The accurate prediction of functional outcomes in patients with acute ischemic stroke (AIS) is crucial for informed clinical decision-making and optimal resource utilization. As such, this study aimed to construct an ensemble deep learning model that integrates multimodal imaging and clinical data to predict the 90-day functional outcomes after AIS. Methods: We used data from the Korean Stroke Neuroimaging Initiative database, a prospective multicenter stroke registry to construct an ensemble model integrated individual 3D convolutional neural networks for diffusion-weighted imaging and fluid-attenuated inversion recovery (FLAIR), along with a deep neural network for clinical data, to predict 90-day functional independence after AIS using a modified Rankin Scale (mRS) of 3–6. To evaluate the performance of the ensemble model, we compared the area under the curve (AUC) of the proposed method with that of individual models trained on each modality to identify patients with AIS with an mRS score of 3–6. Results: Of the 2,606 patients with AIS, 993 (38.1%) achieved an mRS score of 3–6 at 90 days post-stroke. Our model achieved AUC values of 0.830 (standard cross-validation [CV]) and 0.779 (time-based CV), which significantly outperformed the other models relying on single modalities: b-value of 1,000 s/mm2 (P<0.001), apparent diffusion coefficient map (P<0.001), FLAIR (P<0.001), and clinical data (P=0.004). Conclusion The integration of multimodal imaging and clinical data resulted in superior prediction of the 90-day functional outcomes in AIS patients compared to the use of a single data modality.

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.