Purpose: The coronavirus disease 2019 (COVID-19) pandemic brought stringent social distancing measures, resulting in changes to daily routines such as increased time at home, remote learning, altered meal schedules, and reduced physical activity. Therefore, we aimed to investigate the impact of the COVID-19 lockdown on glycemic control among pediatric patients with type 1 diabetes. Methods: This study retrospectively analyzed the medical records of 47 pediatric patients with type 1 diabetes who visited Ajou University Hospital before and after the lockdown. To analyze the effects of the lockdown on glycemic control, we examined the change in glycated hemoglobin (HbA1c) levels before and after the lockdown. Results: Among 47 patients, 23 (49%) were female and the average age before the lockdown as of March 2020 was 11.65±3.03 years. The mean HbA1c levels were 8.22%±1.69% and 7.86%±1.57% before and after the lockdown, respectively, showing better glycemic control during the lockdown (P=0.001). The decrease in HbA1c was more significant in subjects with higher pre-lockdown HbA1c levels, older patients, and individuals not using continuous glucose monitoring or continuous subcutaneous insulin infusion. However, from a long-term perspective, HbA1c levels at 3 years and 1 year before and after the lockdown were not significantly different. Conclusion This study demonstrated the beneficial effect of intensive social distancing for COVID-19 on blood glucose control in pediatric patients with type 1 diabetes mellitus. Furthermore, changes due to the lockdown had a more pronounced effect on patients with existing poor glycemic control.

Heart failure (HF) is a major cause of mortality and morbidity in South Korea, imposing substantial physical, emotional, and financial burdens on patients and society. Despite the high burden of symptom and complex care needs of HF patients, palliative care and hospice services remain underutilized in South Korea due to cultural, institutional, and knowledge-related barriers. This position statement from the Korean Society of Heart Failure emphasizes the need for integrating palliative and hospice care into HF management to improve quality of life and support holistic care for patients and their families. By clarifying the role of palliative care in HF and proposing practical referral criteria, this position statement aims to bridge the gap between HF and palliative care services in South Korea, ultimately improving patient-centered outcomes and aligning treatment with the goals and values of HF patients.

Purpose: The coronavirus disease 2019 (COVID-19) pandemic brought stringent social distancing measures, resulting in changes to daily routines such as increased time at home, remote learning, altered meal schedules, and reduced physical activity. Therefore, we aimed to investigate the impact of the COVID-19 lockdown on glycemic control among pediatric patients with type 1 diabetes. Methods: This study retrospectively analyzed the medical records of 47 pediatric patients with type 1 diabetes who visited Ajou University Hospital before and after the lockdown. To analyze the effects of the lockdown on glycemic control, we examined the change in glycated hemoglobin (HbA1c) levels before and after the lockdown. Results: Among 47 patients, 23 (49%) were female and the average age before the lockdown as of March 2020 was 11.65±3.03 years. The mean HbA1c levels were 8.22%±1.69% and 7.86%±1.57% before and after the lockdown, respectively, showing better glycemic control during the lockdown (P=0.001). The decrease in HbA1c was more significant in subjects with higher pre-lockdown HbA1c levels, older patients, and individuals not using continuous glucose monitoring or continuous subcutaneous insulin infusion. However, from a long-term perspective, HbA1c levels at 3 years and 1 year before and after the lockdown were not significantly different. Conclusion This study demonstrated the beneficial effect of intensive social distancing for COVID-19 on blood glucose control in pediatric patients with type 1 diabetes mellitus. Furthermore, changes due to the lockdown had a more pronounced effect on patients with existing poor glycemic control.

Purpose: The coronavirus disease 2019 (COVID-19) pandemic brought stringent social distancing measures, resulting in changes to daily routines such as increased time at home, remote learning, altered meal schedules, and reduced physical activity. Therefore, we aimed to investigate the impact of the COVID-19 lockdown on glycemic control among pediatric patients with type 1 diabetes. Methods: This study retrospectively analyzed the medical records of 47 pediatric patients with type 1 diabetes who visited Ajou University Hospital before and after the lockdown. To analyze the effects of the lockdown on glycemic control, we examined the change in glycated hemoglobin (HbA1c) levels before and after the lockdown. Results: Among 47 patients, 23 (49%) were female and the average age before the lockdown as of March 2020 was 11.65±3.03 years. The mean HbA1c levels were 8.22%±1.69% and 7.86%±1.57% before and after the lockdown, respectively, showing better glycemic control during the lockdown (P=0.001). The decrease in HbA1c was more significant in subjects with higher pre-lockdown HbA1c levels, older patients, and individuals not using continuous glucose monitoring or continuous subcutaneous insulin infusion. However, from a long-term perspective, HbA1c levels at 3 years and 1 year before and after the lockdown were not significantly different. Conclusion This study demonstrated the beneficial effect of intensive social distancing for COVID-19 on blood glucose control in pediatric patients with type 1 diabetes mellitus. Furthermore, changes due to the lockdown had a more pronounced effect on patients with existing poor glycemic control.

Objectives: This study examined the changes in the characteristics of high-risk suicide groups in South Korea before and after the COVID-19 pandemic using the Korean Cohort for the Model Predicting a Suicide and Suicide-related Behavior (K-COMPASS) cohort. Methods: The K-COMPASS is a longitudinal cohort study that started in 2015. The participants included suicide attempters and individuals with suicidal ideation from various hospitals and mental health centers in South Korea. This study compared the sociodemographic and psychiatric characteristics of 800 participants from the first cohort (2015–2019) with 511 participants from the second and third cohorts (2019–2024). Data were collected through structured interviews and validated scales. Results: The second and third cohort participants were younger, had a higher proportion of females, and exhibited more severe psychiatric symptoms and higher suicidal risk than the first cohort. The prevalence of physical illnesses decreased, while the use of psychiatric medications and the severity of mental health issues increased. In addition, significant sociodemographic changes were observed, such as higher educational levels and urban residency. Conclusion Significant shifts in the characteristics of high-risk suicide groups were observed during the COVID-19 pandemic, highlighting the need for targeted mental health interventions focusing on younger individuals and females to prevent suicide in high-risk groups.

Objectives: This study examined the changes in the characteristics of high-risk suicide groups in South Korea before and after the COVID-19 pandemic using the Korean Cohort for the Model Predicting a Suicide and Suicide-related Behavior (K-COMPASS) cohort. Methods: The K-COMPASS is a longitudinal cohort study that started in 2015. The participants included suicide attempters and individuals with suicidal ideation from various hospitals and mental health centers in South Korea. This study compared the sociodemographic and psychiatric characteristics of 800 participants from the first cohort (2015–2019) with 511 participants from the second and third cohorts (2019–2024). Data were collected through structured interviews and validated scales. Results: The second and third cohort participants were younger, had a higher proportion of females, and exhibited more severe psychiatric symptoms and higher suicidal risk than the first cohort. The prevalence of physical illnesses decreased, while the use of psychiatric medications and the severity of mental health issues increased. In addition, significant sociodemographic changes were observed, such as higher educational levels and urban residency. Conclusion Significant shifts in the characteristics of high-risk suicide groups were observed during the COVID-19 pandemic, highlighting the need for targeted mental health interventions focusing on younger individuals and females to prevent suicide in high-risk groups.

Background: The recently introduced super-resolution (SR) deep learning image reconstruction (DLR) is potentially effective in reducing noise level and enhancing the spatial resolution. We aimed to investigate whether SR-DLR has advantages in the overall image quality and intensity homogeneity on coronary computed tomography (CT) angiography with four different approaches: filtered-back projection (FBP), hybrid iterative reconstruction (IR), DLR, and SR-DLR. Methods: Sixty-three patients (mean age, 61 ± 11 years; range, 18–81 years; 40 men) who had undergone coronary CT angiography between June and October 2022 were retrospectively included. Image noise, signal to noise ratio, and contrast to noise ratio were quantified in both proximal and distal segments of the major coronary arteries. The left ventricle myocardium contrast homogeneity was analyzed. Two independent reviewers scored overall image quality, image noise, image sharpness, and myocardial homogeneity. Results: Image noise in Hounsfield units (HU) was significantly lower (P < 0.001) for the SR-DLR (11.2 ± 2.0 HU) compared to those associated with other image reconstruction methods including FBP (30.5 ± 10.5 HU), hybrid IR (20.0 ± 5.4 HU), and DLR (14.2 ± 2.5 HU) in both proximal and distal segments. SR-DLR significantly improved signal to noise ratio and contrast to noise ratio in both the proximal and distal segments of the major coronary arteries.No significant difference was observed in the myocardial CT attenuation with SR-DLR among different segments of the left ventricle myocardium (P = 0.345). Conversely, FBP and hybrid IR resulted in inhomogeneous myocardial CT attenuation (P < 0.001). Two reviewers graded subjective image quality with SR-DLR higher than other image recon‑ struction techniques (P < 0.001). Conclusions SR-DLR improved image quality, demonstrated clearer delineation of distal segments of coronary arter‑ ies, and was seemingly accurate for quantifying CT attenuation in the myocardium.

Background: The recently introduced super-resolution (SR) deep learning image reconstruction (DLR) is potentially effective in reducing noise level and enhancing the spatial resolution. We aimed to investigate whether SR-DLR has advantages in the overall image quality and intensity homogeneity on coronary computed tomography (CT) angiography with four different approaches: filtered-back projection (FBP), hybrid iterative reconstruction (IR), DLR, and SR-DLR. Methods: Sixty-three patients (mean age, 61 ± 11 years; range, 18–81 years; 40 men) who had undergone coronary CT angiography between June and October 2022 were retrospectively included. Image noise, signal to noise ratio, and contrast to noise ratio were quantified in both proximal and distal segments of the major coronary arteries. The left ventricle myocardium contrast homogeneity was analyzed. Two independent reviewers scored overall image quality, image noise, image sharpness, and myocardial homogeneity. Results: Image noise in Hounsfield units (HU) was significantly lower (P < 0.001) for the SR-DLR (11.2 ± 2.0 HU) compared to those associated with other image reconstruction methods including FBP (30.5 ± 10.5 HU), hybrid IR (20.0 ± 5.4 HU), and DLR (14.2 ± 2.5 HU) in both proximal and distal segments. SR-DLR significantly improved signal to noise ratio and contrast to noise ratio in both the proximal and distal segments of the major coronary arteries.No significant difference was observed in the myocardial CT attenuation with SR-DLR among different segments of the left ventricle myocardium (P = 0.345). Conversely, FBP and hybrid IR resulted in inhomogeneous myocardial CT attenuation (P < 0.001). Two reviewers graded subjective image quality with SR-DLR higher than other image recon‑ struction techniques (P < 0.001). Conclusions SR-DLR improved image quality, demonstrated clearer delineation of distal segments of coronary arter‑ ies, and was seemingly accurate for quantifying CT attenuation in the myocardium.