Although splenomegaly is typically uncommon in myelodysplastic syndromes (MDS), it is associated with reduced engraftment rates and poor survival outcomes. Despite its clinical significance, the incidence and genetic associations of splenomegaly in MDS remain understudied. To address this, we conducted a retrospective study of 27 patients with MDS at the Veterans Health Service Medical Center in South Korea. Based on computed tomography scan evaluation, splenomegaly was identified in 26% of patients with MDS, and significant associations with variants in ASXL1 (P = 0.0089 for null and missense/inframe variants) and RUNX1 (P = 0.042 for null variants) were observed, suggesting that these variants are linked to an increased risk of splenomegaly. Notably, one patient with ASXL1 and TET2 variants developed severe splenomegaly (spleen size, 29 cm) following granulocyte colony-stimulating factor (G-CSF) treatment, requiring splenectomy. This case suggests a potential interaction between specific genetic variants and G-CSF sensitivity, potentially exacerbating splenomegaly. Our findings suggest that the incidence of splenomegaly in patients with MDS, including mild cases, is likely underestimated and that ASXL1 and RUNX1 variants increase the risk of splenomegaly. Furthermore, careful monitoring for the development of severe splenomegaly during G-CSF treatment may be warranted in genetically susceptible individuals with MDS.

Background: Although the association between handgrip strength and glycemic control has been reported, studies conducted exclusively within specific occupational groups remain limited. To explore the association between handgrip strength and metabolic health in industrial settings, this study examined the relationship between relative handgrip strength and glycated hemoglobin (HbA1c) among male automobile manufacturing workers using vibration tools in South Korea. Methods: Using 66,212 occupational health examination records collected at Inha University Hospital between January 2024 and April 2025, a total of 3,365 workers with HbA1c and handgrip strength measurements were identified. After excluding duplicates (n = 1,536), female workers (n = 2), and records without Hb and estimated glomerular filtration rate, 1,823 male participants were included in the final analysis. Relative handgrip strength was calculated as the maximum value of bilateral grip strength divided by body mass index. Multiple linear regression analyses were conducted to assess the association between relative handgrip strength and HbA1c, adjusting for age, smoking status, alcohol consumption, current hypertension, current dyslipidemia, current hypoglycemic-agents use, family diabetes history, leisure-time physical activity, and resistance exercise. Results: Relative handgrip strength was inversely associated with HbA1c levels (B: –0.060; 95% confidence interval [CI]: −0.081 to −0.039; p < 0.001). The association was strongest among normoglycemic participants (B: −0.185; 95% CI: −0.305 to −0.065; p = 0.003). Effect size was reduced but significantly associated among individuals with prediabetes (B: −0.115; 95% CI: −0.180 to −0.050; p < 0.001) and further attenuated to a borderline significance in individuals with diabetes (B: −0.023; 95% CI: −0.050 to 0.003; p = 0.082). These findings indicate that greater muscle strength relative to body size is related to better glycemic control. Conclusions Handgrip strength was associated with HbA1c levels in industrial workers. This study suggests that handgrip strength may provide complementary information on metabolic health in occupational settings.

Purpose: Early differentiation between transient congenital hypothyroidism (TCH) and permanent congenital hypothyroidism (PCH) is crucial for optimizing the duration of treatment. This retrospective cohort study aimed to evaluate whether levothyroxine (LT4) dose requirements over time can predict TCH and guide earlier discontinuation of treatment. Methods: We retrospectively analyzed 105 infants with congenital hypothyroidism and normal thyroid glands confirmed by imaging at a single tertiary care center (Inha University Hospital) between January 2013 and December 2022. Patients were classified into TCH (n=70) or PCH (n=35) based on thyroid function after LT4 withdrawal at 3 years of age. LT4 dose/kg at 6, 12, and 24 months, along with clinical and biochemical parameters, were compared between the 2 groups. Receiver operating characteristic (ROC) curve analysis was used to assess the predictive performance of LT4 dose thresholds. Results: The LT4 dose was significantly lower in the TCH group at 6 (3.16±0.83 μg/kg vs. 3.75±0.99 μg/kg, P=0.005), 12 (2.51±0.82 μg/kg vs. 3.37±1.17 μg/kg, P<0.001), and 24 months (2.02±0.61 μg/kg vs. 3.09±1.19 μg/kg, P<0.001). ROC curve analysis showed an area under the curve (AUC) of 0.649, 0.746, and 0.794 at 6, 12, and 24 months, respectively. A logistic regression model incorporating LT4 dose, birth weight, and thyroid-stimulating hormone (TSH) levels improved prediction accuracy (AUC: 0.740, 0.782, 0.833 at 6, 12, and 24 months, respectively). Conclusion LT4 dose requirements at 6, 12, and 24 months serve as useful indicators for differentiating TCH from PCH. A combined predictive model incorporating LT4 dose, birth weight, and TSH levels may improve diagnostic accuracy, supporting earlier discontinuation of treatment.

Objectives: This study aimed to identify gender- and household type-specific nutritional vulnerability among older Koreans by comparing dietary behaviors, nutrient intake, and diet quality. Methods: We analyzed data from 2,412 adults aged ≥ 65 years (1,118 men; 1,294 women) from the 8th Korea National Health and Nutrition Examination Survey (2019–2021). Household type was classified as one-person, couple-only, or with-children. Outcome variables included dietary behavior, daily energy and nutrient intake, and diet quality, assessed using the Korean Healthy Eating Index (KHEI). Analyses were carried out accounting for the complex sampling design, adjusting for age, residential area, education level, household income level, economic activity status, self-rated health status, and survey year. Results: Elderly men in one-person households, compared with those in couple-only households, were more likely to skip breakfast and lunch and to consume less energy. The odds of intake below the estimated average requirement (EAR) were higher for iron (odds ratio [OR] = 1.731, P = 0.022) and zinc (OR = 2.460, P = 0.002) among men in one-person households. The KHEI score was the lowest among men in one-person households. Elderly women in with-children households, compared with those in couple-only households, were more likely to skip breakfast and to consume less energy. The risks of intake below the estimated energy requirement (EER) and EAR were higher among women in with-children households than those in couple-only households (EER: OR = 1.448; magnesium: OR = 2.090; iron: OR = 1.692; zinc: OR = 1.902; folate: OR = 2.282; all P < 0.05). The KHEI score was lower among women in with-children households. Conclusion Elderly men living alone and elderly women living with children showed significantly greater nutritional vulnerability. More attention should be given to understanding how gender-specific household types can affect nutritional vulnerability in later life.

Background: Despite the rising incidence of end-stage renal disease (ESRD) among individuals with type 2 diabetes mellitus (T2DM) in Korea, no predictive model or nomogram has been developed using a nationwide cohort. In this study, we developed a nomogram to predict the long-term risk of ESRD in patients with T2DM using a large-scale, population-based Korean database. Methods: Using the Korean National Health Insurance Database, patients with T2DM who underwent health examinations between 2015 and 2016 were assigned as development (n=1,744,277) and validation (n=747,407) cohorts. New ESRD cases were identified using codes for renal replacement therapy. A Cox proportional hazards regression model was used to derive a risk-scoring system, and 13 variables were selected. A risk score nomogram was then created to estimate the risk of ESRD. Results: In the development cohort, 8,631 patients with T2DM developed ESRD during a follow-up period of 4.8±0.9 years. After multivariable adjustment, significant predictors of ESRD included male sex, current smoking, physical inactivity, low income, low body mass index, hypertension, low-density lipoprotein cholesterol ≥160 mg/dL, chronic kidney disease, insulin use, and longer duration of T2DM. A final nomogram incorporating 13 variables was developed to estimate the individual probability of ESRD. The concordance index for ESRD prediction in the validation cohort was 0.906 (95% confidence interval, 0.9 to 0.912). Conclusion This 13-variable nomogram provides a simple tool for identifying patients with T2DM at high risk of ESRD and may aid in early intervention.

Objective: To comprehensively assess the relationship between nerve conduction study (NCS), sympathetic skin response (SSR), and demographic factors in patients with diabetic neuropathy, exploring potential risk factors and mechanisms. Methods: A retrospective study (N=184) included patients diagnosed with type 2 diabetes mellitus undergoing NCS and SSR. Demographic, clinical, and laboratory data were analyzed. Patients were categorized by diabetic peripheral neuropathy (DPN) and SSR stages for comparative analysis. Results: HbA1c levels correlated with DPN progression. SSR stages exhibited age-related differences. Height correlated with DPN but not SSR stages. Body mass index showed no significant differences. Conclusion While DPN progression correlated with glycemic control and duration of diabetes, SSR was influenced by age. Unexpectedly, cholesterol levels remained within the normal range, challenging established concepts. Understanding these relationships is crucial for interpreting test results and developing targeted interventions for diabetic neuropathy.

Purpose: This network meta-analysis aimed to evaluate the relative efficacy of systemic treatments in patients with relapsed/refractory chronic lymphocytic leukemia (R/R CLL), focusing on key genetic mutations, specifically the 17p deletion and TP53 mutations. Methods: We conducted a systematic literature review to identify all publicly available randomized controlled trials (RCTs) using PubMed, EMBASE, the Cochrane database, and meeting abstracts published through December 2023.A Bayesian network meta-analysis was performed to estimate the hazard ratios (HRs) for progression-free survival (PFS) with 95% confidence intervals (CIs) and to determine the ranking of the included regimens. Results: Twelve trials involving 4,437 patients and 13 treatment options were included in the meta-analysis. Venetoclax plus rituximab and zanubrutinib emerged as the most effective treatments for the overall R/R CLL population, showing the lowest PFS HR (HR 0.62, 95% CI 0.32–1.20 and HR 0.65, 95% CI 0.49–0.86, respectively) versus ibrutinib, and were ranked as the best agent (surface under the cumulative ranking curve [SUCRA] value of both 90%, respectively) among the included drugs. In the 17p deletion/TP53 mutation subgroup, zanubrutinib demonstrated the most favorable efficacy (HR 0.52, 95% CI 0.31–0.88 versus ibrutinib) with the highest SUCRA value (97%). In patients without these mutations, venetoclax plus rituximab was the most effective (HR 0.49, 95% CI 0.26–0.94 versus ibrutinib) with a SUCRA value of 94%. Conclusion Our findings highlight the superior efficacy of venetoclax plus rituximab and zanubrutinib for treating R/R CLL and confirm that the role of each regimen may vary depending on the clinically significant mutations.

We updated the Korean Society of Gynecologic Oncology (KSGO) practice guideline for the management of ovarian cancer as version 5.1. The ovarian cancer guideline team of the KSGO published announced the fifth version (version 5.0) of its clinical practice guidelines for the management of ovarian cancer in December 2023. In version 5.0, the selection of the key questions and the systematic reviews were based on the data available up to December 2022.Therefore, we updated the guidelines version 5.0 with newly accumulated clinical data and added 5 new key questions reflecting the latest insights in the field of ovarian cancer between 2023 and 2024. For each question, recommendation was provided together with corresponding level of evidence and grade of recommendation, all established through expert consensus.