The COVID-19 pandemic has adversely affected the mental health of the global population. This study aimed to assess the acute and persistent symptoms of depression, as well as factors related to their manifestation, through a longitudinal study design. A total of 1,492 community-dwelling adults from an online public panel across three regions were evaluated at baseline, with 908 adults (60.9%) followed up after six months. Depression symptoms were evaluated using Patient Health Questionnaire-9 (PHQ-9). Participants also completed self-administered questionnaires on sociodemographic information, psychosocial experiences related to COVID-19, the UCLA Loneliness Scale, and the Korean version of the Gratitude Questionnaire (K-GQ-6).The prevalence of acute and persistent depression symptoms was 8.4% and 12.0%, respectively. Multivariate logistic regression analysis identified changes in predictors of depression over time, with younger age and self-isolation experience found to be associated with acute depression. Factors such as underlying mental illness, eating and sleeping disturbances, loneliness, and COVID-19-related stress emerged as significant risk factors for persistent depression. A disposition toward gratitude was identified as a protective factor for persistent depressive symptoms. These findings suggest that during any long-term pandemic crisis such as COVID-19, timely support and attention are essential for vulnerable populations, including young people and individuals with mental health conditions, to prevent depression. Specifically, promoting daily routines such as regular eating and sleeping patterns, and managing COVID-19-related stress may be critical in preventing persistent depression. Additionally, psychological support that reduces loneliness and fosters gratitude may help mitigate depression risk.

Objective: This study examined whether baseline levels of 14 serum biomarkers predicted antidepressant remission differently by sex at 12 weeks and 12 months. Methods: In a prospective cohort, 1,086 outpatients with depressive disorders received stepwise antidepressant treatment following a naturalistic protocol. Baseline serum samples were analyzed for biomarkers from six systems: immune (high-sensitivity C-reactive protein, tumor necrosis factor-alpha, interleukin-1 beta, interleukin-6, interleukin-4, interleukin-10), metabolic (leptin, ghrelin, total cholesterol), neurotrophic (brain-derived neurotrophic factor), neurotransmitter (serotonin), endocrine (cortisol), and nutritional (folate, homocysteine). Remission, defined as a Hamilton Depression Rating Scale scores ≤ 7, was assessed at 12 weeks and 12 months. Logistic regression models with biomarker-by-sex interaction and stratified analyses were used, adjusting for clinical covariates. Results: Higher baseline serotonin predicted 12-week remission in males but not in females. At 12 months, lower leptin and higher folate predicted remission only in males, while lower cortisol predicted remission only in females. These showed significant biomarker-sex interactions. No sex-specific interactions were found for immune markers. Conclusion Baseline serum biomarkers across biological systems showed sex-specific associations with treatment outcomes. Neurotransmitter, metabolic, endocrine, and nutritional markers may offer predictive value for sex-tailored, biomarker-informed treatment strategies in depression.

Objective: This study investigated how educational levels modify the relationship between the standard deviation of NN intervals (SDNN) of heart rate variability and the development of post-traumatic stress disorder (PTSD). Methods: Participants with physical injuries were enrolled from a trauma center and monitored over two years. Initial assessments included SDNN and educational attainment, along with socio-demographic and clinical variables. PTSD diagnoses were made at 3, 6, 12, and 24 months post-injury using the Clinician-Administered PTSD Scale for DSM-5.Logistic regression analyses were conducted. Results: Of the 538 participants, 58 (10.8%) developed PTSD during the follow-up period. A significant interaction effect was observed: lower SDNN was significantly linked to PTSD in individuals with higher education, but not in those with lower education. Conclusion The study identified education-dependent associations between SDNN and PTSD development, emphasizing the importance of tailored PTSD prevention strategies that consider both SDNN and educational levels.

Objective: This study investigated how educational levels modify the relationship between the standard deviation of NN intervals (SDNN) of heart rate variability and the development of post-traumatic stress disorder (PTSD). Methods: Participants with physical injuries were enrolled from a trauma center and monitored over two years. Initial assessments included SDNN and educational attainment, along with socio-demographic and clinical variables. PTSD diagnoses were made at 3, 6, 12, and 24 months post-injury using the Clinician-Administered PTSD Scale for DSM-5.Logistic regression analyses were conducted. Results: Of the 538 participants, 58 (10.8%) developed PTSD during the follow-up period. A significant interaction effect was observed: lower SDNN was significantly linked to PTSD in individuals with higher education, but not in those with lower education. Conclusion The study identified education-dependent associations between SDNN and PTSD development, emphasizing the importance of tailored PTSD prevention strategies that consider both SDNN and educational levels.

Objective: This study investigated how educational levels modify the relationship between the standard deviation of NN intervals (SDNN) of heart rate variability and the development of post-traumatic stress disorder (PTSD). Methods: Participants with physical injuries were enrolled from a trauma center and monitored over two years. Initial assessments included SDNN and educational attainment, along with socio-demographic and clinical variables. PTSD diagnoses were made at 3, 6, 12, and 24 months post-injury using the Clinician-Administered PTSD Scale for DSM-5.Logistic regression analyses were conducted. Results: Of the 538 participants, 58 (10.8%) developed PTSD during the follow-up period. A significant interaction effect was observed: lower SDNN was significantly linked to PTSD in individuals with higher education, but not in those with lower education. Conclusion The study identified education-dependent associations between SDNN and PTSD development, emphasizing the importance of tailored PTSD prevention strategies that consider both SDNN and educational levels.

Objective: This study investigated how educational levels modify the relationship between the standard deviation of NN intervals (SDNN) of heart rate variability and the development of post-traumatic stress disorder (PTSD). Methods: Participants with physical injuries were enrolled from a trauma center and monitored over two years. Initial assessments included SDNN and educational attainment, along with socio-demographic and clinical variables. PTSD diagnoses were made at 3, 6, 12, and 24 months post-injury using the Clinician-Administered PTSD Scale for DSM-5.Logistic regression analyses were conducted. Results: Of the 538 participants, 58 (10.8%) developed PTSD during the follow-up period. A significant interaction effect was observed: lower SDNN was significantly linked to PTSD in individuals with higher education, but not in those with lower education. Conclusion The study identified education-dependent associations between SDNN and PTSD development, emphasizing the importance of tailored PTSD prevention strategies that consider both SDNN and educational levels.

Objective: This study aimed to explore treatment outcomes and pharmacological treatment intensities across major depressive disorder (MDD) subtypes over a 24-month period in a naturalistic clinical setting. Methods: A total of 1,079 MDD patients were classified into melancholic (n = 182; 16.9%), atypical (n = 68; 6.3%), and unspecified (n = 829; 76.8%) subtypes and followed in a longitudinal cohort study. Treatment intensity and outcomes, including 12-week and 12-month remission and 24-month relapse rates, were measured using the Hamilton Depression Rating Scale. Results: There were no significant differences in remission or relapse rates across subtypes at 12 weeks, 12 months, or 24 months. However, melancholic and atypical subtypes received more intensive pharmacological treatments compared to the unspecified subtype, particularly during the initial 12-week treatment phase. This increased treatment intensity was associated with equivalent outcomes across subtypes. Conclusion Despite similar long-term outcomes across MDD subtypes, variations in treatment intensity were crucial for achieving these results. Our findings suggest that tailoring treatment plans according to depressive subtype severity and characteristics is essential for effective management. Future research should investigate the genetic and biomolecular bases of these subtypes to further optimize treatment strategies.

Purpose: This subgroup analysis of the Korean subset of patients in the phase 3 LASER301 trial evaluated the efficacy and safety of lazertinib versus gefitinib as first-line therapy for epidermal growth factor receptor mutated (EGFRm) non–small cell lung cancer (NSCLC). Materials and Methods: Patients with locally advanced or metastatic EGFRm NSCLC were randomized 1:1 to lazertinib (240 mg/day) or gefitinib (250 mg/day). The primary endpoint was investigator-assessed progression-free survival (PFS). Results: In total, 172 Korean patients were enrolled (lazertinib, n=87; gefitinib, n=85). Baseline characteristics were balanced between the treatment groups. One-third of patients had brain metastases (BM) at baseline. Median PFS was 20.8 months (95% confidence interval [CI], 16.7 to 26.1) for lazertinib and 9.6 months (95% CI, 8.2 to 12.3) for gefitinib (hazard ratio [HR], 0.41; 95% CI, 0.28 to 0.60). This was supported by PFS analysis based on blinded independent central review. Significant PFS benefit with lazertinib was consistently observed across predefined subgroups, including patients with BM (HR, 0.28; 95% CI, 0.15 to 0.53) and those with L858R mutations (HR, 0.36; 95% CI, 0.20 to 0.63). Lazertinib safety data were consistent with its previously reported safety profile. Common adverse events (AEs) in both groups included rash, pruritus, and diarrhoea. Numerically fewer severe AEs and severe treatment–related AEs occurred with lazertinib than gefitinib. Conclusion Consistent with results for the overall LASER301 population, this analysis showed significant PFS benefit with lazertinib versus gefitinib with comparable safety in Korean patients with untreated EGFRm NSCLC, supporting lazertinib as a new potential treatment option for this patient population.

Exposure-response prevention is an effective approach to treat anxiety disorders. Virtual reality exposure therapy (VRET) is a promising treatment for patients with posttraumatic stress disorder (PTSD). New research has helped refine and update VRET. In this study, we introduce a form of VRET developed for patients suffering from PTSD after a traffic accident, and present two cases treated using this protocol. After 6 weeks of VRET treatment, the two participants not only improved their PTSD symptoms, but also improved their depressed mood, anxiety, and insomnia symptoms. Future studies of VRET for car accident-related PTSD should utilize a controlled design with randomization in order to account for numerous possible confounds.

Objective: This study aimed to identify serum biomarkers prospectively associated with remission at 12 weeks in outpatients with depressive disorders receiving stepwise psychopharmacotherapy, according to the main antidepressant used during the treatment period. Methods: This study included 1,024 depressive outpatients initially treated using antidepressant monotherapy, followed by alternating pharmacological strategies during the acute phase (3−12 weeks; 3-week interval). Fourteen serum biomarkers, sociodemographics, and clinical characteristics were evaluated at baseline. Based on the use frequency and mechanism of action, four main antidepressant types were distinguished: escitalopram, other selective serotonin reuptake inhibitors (SSRIs), serotonin norepinephrine reuptake inhibitors (SNRIs), and mirtazapine. A Hamilton Depression Rating Scale score ≤ 7 was take to indicate remission. Results: Lower high-sensitivity C-reactive protein levels were correlated with remission at 12 weeks for all antidepressant types. Lower interleukin (IL)-6 levels and tumor necrosis factor-alpha levels were associated with remission using escitalopram and other SSRIs respectively. Lower IL-1β and leptin levels, predicted remission in association with SSRIs including escitalopram. For SNRIs, remission at 12 weeks was predicted by lower IL-4 and IL-10 levels. For mirtazapine, remission at 12 weeks was associated with lower leptin levels, and higher serotonin and folate levels. Conclusion Baseline serum status, as estimated by nine serum markers, may help clinicians determine the most appropriate antidepressant to achieve remission in the acute phase of depression.