Purpose: To investigate long-term topographic progression of the geographic atrophy (GA) area based on location and analyze its correlation with visual acuity in patient with GA secondary to non-neovascular age-related macular degeneration in South Korean patient cohort. Methods: Medical records and imaging data of 58 eyes from 34 patients with GA were retrospectively reviewed using fundus autofluorescence (FAF). Regions of interest were defined as concentric ring-shaped zones with diameters of 1, 2, 3, and 4 mm centered on the fovea (zones 0–3), each subdivided into superior, temporal, inferior, and nasal sectors. The foveal center was determined using optical coherence tomography, and sectoral GA areas were measured on FAF with the semiautomated software (RegionFinder ver. 2.6.2.0). Correlations among GA area enlargement, GA growth rate, and changes in best-corrected visual acuity (BCVA) were evaluated. Results: The mean GA area enlarged from 4.10 to 16.57 mm2 and mean BCVA decreased from 0.34 to 1.06 logMAR at 5 years of follow-up. The mean overall GA area growth rate was 1.96 mm2/yr. During yearly follow-up from baseline to 5 years, there were significant differences in GA growth rate of zone 3 inferior (p < 0.005). The GA area changes of zone 3 inferior was significantly correlated with BCVA. In the subgroup with BCVA decreased under 1.0 logMAR during follow-up, there was a higher growth rate in zone 2 nasal sector, 2 to 3 years before. Conclusions The overall GA growth rate was 1.96 mm2/yr in the 5-year follow-up of our cohort. Changes in the GA growth rate in the nasal perifoveal region (zone 2) may be associated with subsequent clinically meaningful visual decline.

Background/Aims: Despite numerous global changes in Helicobacter pylori treatment guidelines over the past decade, no comprehensive nationwide trend analysis has been conducted.We aimed to investigate the annual trends in the use of H. pylori treatment regimens on the basis of hospital type and region to identify whether changes in prescription patterns aligned with the Korean guidelines updated in 2013 and 2020. Methods: Using data from Korean Health Insurance Review and Assessment database spanning from January 2010 to December 2022, we extracted the performance code for H. pylori diagnosis along with the drug combination code for H. pylori treatment. Results: We analyzed the annual trends in standard triple therapy (STT; n=664,748), bismuth quadruple therapy (BQT; n=151,828), concomitant therapy (CT; n=3,034), sequential therapy (SEQ; n=1,612), and salvage treatment. Overall, STT use declined, with the use of 7-day STT decreasing but the use of 10- and 14-day STT increasing. The use of BQT as a first-line treatment consistently increased, and non-BQT (i.e., CT and SEQ) use also increased sharply since 2019.The tendency to adhere to the guideline changes was more pronounced in primary care clinics.Salvage treatment with BQT after STT failure exhibited a declining trend from 2010 to 2017, followed by an increase since 2018. Salvage treatment with levofloxacin triple therapy after BQT failure increased over time. Conclusions This long-term nationwide trend analysis revealed that real-world prescriptions for H. pylori treatment generally corresponded to the updated guidelines. Efforts are needed to disseminate the revised guidelines to achieve higher compliance rates.

Objective: This study aimed to develop a reliable and valid Mixed State Severity Index (MSSI) to assess mood instability in patients with mood disorders and determine cutoff scores. Methods: Twenty-one items were selected based on Koukopoulos’ criteria for mixed depressive episode, historically referred to as agitated depression, and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision mixed features criteria. The MSSI was administered to 242 patients (major depressive disorder [n=92], bipolar disorder [BD] I [n=78], and BD II [n=72]) and 726 controls. Results: The MSSI demonstrated high internal consistency (α=0.78–0.90). Exploratory factor analysis revealed a stable four-factor structure. Based on receiver operating characteristic analysis, optimal cutoff scores were identified to distinguish mood disorder groups from controls, ranging from 19.5 to 27.5 depending on diagnosis. Conclusion The MSSI is a reliable and valid instrument for assessing the severity of mixed features in patients with mood disorders. The established cutoff scores enhance its clinical utility, providing robust diagnosis and treatment planning support.

Objective: Although high-density lipoprotein cholesterol (HDL-C) is inversely associated with hematologic malignancies, modification by smoking has not been reported. We investigated how smoking and menopausal status modify these association. Methods: This population-based cohort study enrolled cancer-free individuals who underwent a national cancer screening in 2010 and followed up until December 2017. HDL-C levels were classified into eight groups based on 10 mg/dL intervals: (<30, 30–39, 40–49, 50–59, 60–69, 70–79, 80–89, or ≥90 mg/dL). Results: Among 4,517,892 participants, 5887 had lymphoma, 3348 had leukemia, and 12151 had unspecified hematologic malignancies. The adjusted hazard ratios (aHRs) for the lowest HDL-C levels compared to the 70–79 mg/dL range were 1.83 (1.45–2.31) for lymphoma, 3.14 (2.41–4.08) for leukemia, and 2.34 (2.01–2.72) for unspecified hematologic malignancy.The effects of low HDL-C levels on hematologic malignancies were similar in both men and women. Low HDL-C levels were associated with a higher risk of leukemia regardless of smoking status, but extremely high HDL-C levels were linked to a higher risk of leukemia (aHR, 2.32; 95% confidence interval [95% CI], 1.18–4.55) only in current smokers.The hazardous effect of low HDL-C levels on lymphoma was significant only in never smokers (aHR, 2.01; 95% CI, 1.51–2.68). Hazardous effects of low HDL-C levels on leukemia were observed only in post-menopausal women (aHR, 2.94; 95% CI, 1.69–5.11). Conclusion Low HDL-C levels were associated with a higher risk of leukemia and lymphoma, with discrepancies based on smoking and menopausal status.

Objective: Although high-density lipoprotein cholesterol (HDL-C) is inversely associated with hematologic malignancies, modification by smoking has not been reported. We investigated how smoking and menopausal status modify these association. Methods: This population-based cohort study enrolled cancer-free individuals who underwent a national cancer screening in 2010 and followed up until December 2017. HDL-C levels were classified into eight groups based on 10 mg/dL intervals: (<30, 30–39, 40–49, 50–59, 60–69, 70–79, 80–89, or ≥90 mg/dL). Results: Among 4,517,892 participants, 5887 had lymphoma, 3348 had leukemia, and 12151 had unspecified hematologic malignancies. The adjusted hazard ratios (aHRs) for the lowest HDL-C levels compared to the 70–79 mg/dL range were 1.83 (1.45–2.31) for lymphoma, 3.14 (2.41–4.08) for leukemia, and 2.34 (2.01–2.72) for unspecified hematologic malignancy.The effects of low HDL-C levels on hematologic malignancies were similar in both men and women. Low HDL-C levels were associated with a higher risk of leukemia regardless of smoking status, but extremely high HDL-C levels were linked to a higher risk of leukemia (aHR, 2.32; 95% confidence interval [95% CI], 1.18–4.55) only in current smokers.The hazardous effect of low HDL-C levels on lymphoma was significant only in never smokers (aHR, 2.01; 95% CI, 1.51–2.68). Hazardous effects of low HDL-C levels on leukemia were observed only in post-menopausal women (aHR, 2.94; 95% CI, 1.69–5.11). Conclusion Low HDL-C levels were associated with a higher risk of leukemia and lymphoma, with discrepancies based on smoking and menopausal status.

Objective: Although high-density lipoprotein cholesterol (HDL-C) is inversely associated with hematologic malignancies, modification by smoking has not been reported. We investigated how smoking and menopausal status modify these association. Methods: This population-based cohort study enrolled cancer-free individuals who underwent a national cancer screening in 2010 and followed up until December 2017. HDL-C levels were classified into eight groups based on 10 mg/dL intervals: (<30, 30–39, 40–49, 50–59, 60–69, 70–79, 80–89, or ≥90 mg/dL). Results: Among 4,517,892 participants, 5887 had lymphoma, 3348 had leukemia, and 12151 had unspecified hematologic malignancies. The adjusted hazard ratios (aHRs) for the lowest HDL-C levels compared to the 70–79 mg/dL range were 1.83 (1.45–2.31) for lymphoma, 3.14 (2.41–4.08) for leukemia, and 2.34 (2.01–2.72) for unspecified hematologic malignancy.The effects of low HDL-C levels on hematologic malignancies were similar in both men and women. Low HDL-C levels were associated with a higher risk of leukemia regardless of smoking status, but extremely high HDL-C levels were linked to a higher risk of leukemia (aHR, 2.32; 95% confidence interval [95% CI], 1.18–4.55) only in current smokers.The hazardous effect of low HDL-C levels on lymphoma was significant only in never smokers (aHR, 2.01; 95% CI, 1.51–2.68). Hazardous effects of low HDL-C levels on leukemia were observed only in post-menopausal women (aHR, 2.94; 95% CI, 1.69–5.11). Conclusion Low HDL-C levels were associated with a higher risk of leukemia and lymphoma, with discrepancies based on smoking and menopausal status.

Objective: Although high-density lipoprotein cholesterol (HDL-C) is inversely associated with hematologic malignancies, modification by smoking has not been reported. We investigated how smoking and menopausal status modify these association. Methods: This population-based cohort study enrolled cancer-free individuals who underwent a national cancer screening in 2010 and followed up until December 2017. HDL-C levels were classified into eight groups based on 10 mg/dL intervals: (<30, 30–39, 40–49, 50–59, 60–69, 70–79, 80–89, or ≥90 mg/dL). Results: Among 4,517,892 participants, 5887 had lymphoma, 3348 had leukemia, and 12151 had unspecified hematologic malignancies. The adjusted hazard ratios (aHRs) for the lowest HDL-C levels compared to the 70–79 mg/dL range were 1.83 (1.45–2.31) for lymphoma, 3.14 (2.41–4.08) for leukemia, and 2.34 (2.01–2.72) for unspecified hematologic malignancy.The effects of low HDL-C levels on hematologic malignancies were similar in both men and women. Low HDL-C levels were associated with a higher risk of leukemia regardless of smoking status, but extremely high HDL-C levels were linked to a higher risk of leukemia (aHR, 2.32; 95% confidence interval [95% CI], 1.18–4.55) only in current smokers.The hazardous effect of low HDL-C levels on lymphoma was significant only in never smokers (aHR, 2.01; 95% CI, 1.51–2.68). Hazardous effects of low HDL-C levels on leukemia were observed only in post-menopausal women (aHR, 2.94; 95% CI, 1.69–5.11). Conclusion Low HDL-C levels were associated with a higher risk of leukemia and lymphoma, with discrepancies based on smoking and menopausal status.

Objective: This study evaluated the clinical effectiveness of Minds.NAVI, a depression screening kit combining psychometric measures and stress hormone biomarkers, in a prospective clinical trial. The objective was to assess its potential as a depression screening tool and investigate the associations between psychological assessments, salivary hormone staging, and depression severity. Methods: Thirty-five participants with major depressive disorder and 12 healthy controls (HCs) were included. The Minds.NAVI software, utilizing the PROtective and Vulnerable factors battEry Test (PROVE) and salivary cortisol/dehydroepiandrosterone (DHEA) analysis, was employed. The PROVE test is a comprehensive self-report questionnaire that assesses depressive symptoms, suicide risk, attachment style, adverse childhood experiences, mentalization capacity, and resilience. In addition, salivary cortisol and DHEA levels were measured to evaluate the functional stage of the hypothalamic–pituitary–adrenal (HPA) axis. Results: Minds.NAVI exhibited 100% sensitivity, 91.7% specificity, and 97.9% accuracy in distinguishing depression from HCs within an exploratory small group. Salivary stress hormone phases showed changes with depression stage (p=0.030), and the proportion of patients with “adrenal exhaustion stage” was higher in the moderate/severe depression group (p=0.038). Protective/vulnerable factors differed significantly between controls and depressed groups (p<0.001). Cortisol awakening response inversely correlated with depressive symptom severity (r=-0.31, p=0.034). Conclusion This study suggested possible clinical effectiveness of Minds.NAVI, a depression screening tool that integrates psychometric measures and stress hormone biomarkers. The findings support the potential association between depression, chronic stress, and HPA axis hyporesponsiveness.

Objective: Interpersonal sensitivity, characterized by a heightened awareness of others’ behavior and emotions, is linked to mood disorders. However, current literature lacks a comprehensive analysis of how some items of the Interpersonal Sensitivity Measure (IPSM) interrelate and contribute to the overall construct. This study constructed a network for interpersonal sensitivity symptomatology to identify core IPSM items in patients with mood disorders. Methods: The IPSM, a 36-item self-report scale, was utilized to evaluate interpersonal sensitivity symptoms in 837 participants (major depressive disorder [MDD], n=265; bipolar I disorder [BD I], n=126; and bipolar II disorder [BD II], n=446). We performed exploratory graph analysis, employing regularized partial correlation models to estimate the network structure. Centrality analysis identified core IPSM symptoms for each mood disorder group. Network comparison tests assessed structural differences between the MDD and BD subgroups. Results: Network analysis detected five communities. Item 10 (“I worry about being criticized for things that I have said or done”) showed the highest value in strength. Multiple items on “Interpersonal Worry/Dependency” and “Low Self-Esteem” showed high strength centrality. Network structure invariance and global strength invariance test results indicated no significant differences between the MDD and BD subgroups. Conclusion Our findings emphasize the importance of addressing “Interpersonal Worry/Dependency” and “Low Self-Esteem” in the IPSM network among mood disorder patients based on core items of the network. Additionally, targeted treatments and comprehensive strategies in this aspect could be crucial for managing mood disorders.

Purpose: This study aims to explore the relationship between soy food consumption and gastric cancer (GC) risk, accounting for Helicobacter pylori infection status. Materials and Methods: We analyzed data from patients with GC and healthy individuals prospectively enrolled by 6 hospitals between 2016 and 2018. Dietary intake was evaluated using questionnaires that categorized seven dietary habits and 19 food groups. Multivariate logistic regression models were applied to examine associations. Model I adjusted for various epidemiological factors, while Model II included further adjustments for H. pylori infection.Primary exposures examined were consumption frequencies of nonfermented, unsalted soy foods (soybean/tofu) and fermented, salty soy foods (soybean paste stew). Results: A total of 5,535 participants were included, with 1,629 diagnosed with GC. In Model I, the frequency of soybean/tofu consumption was inversely related to GC risk; adjusted odd ratios (aORs) were 0.62 (95% confidence interval [CI], 0.48–0.8), 0.38 (95% CI, 0.3–0.49), 0.42 (95% CI, 0.33–0.53), and 0.33 (95% CI, 0.27–0.42) for 1 time/week, 2 times/week, 3 times/week, and ≥4 times/week. Consumption of 2 servings/week of soybean paste stew showed the lowest GC association, forming a V-shaped curve. Both low (aOR, 4.03; 95% CI, 3.09–5.26) and high serving frequencies of soybean paste stew (aOR, 2.23; 95% CI, 1.76–2.82) were associated with GC. The association between soy foods and GC in Model II was similar to that in Model I. The soy food-GC associations were consistent across sexes in Model I.Nonetheless, the positive correlation between frequent consumption of soybean paste stew (≥5 times/week) and GC was more pronounced in women (aOR, 7.58; 95% CI, 3.20–17.99) compared to men (aOR, 3.03; 95% CI, 1.61–5.88) in Model II. Subgroup analyses by H. pylori status and salty diet revealed a consistent inverse relationship between soybean/tofu and GC risk. In contrast, soybean paste stew showed a V-shaped relationship in H. pylori-positive or salty diet groups and no significant association in the H. pylori-negative group. Conclusions Soybean/tofu intake is consistently associated with a decreased risk of GC.However, the relationship between soybean paste stew consumption and GC risk varies, depending on H. pylori infection status and dietary salt intake.