Statins have revolutionized the management of dyslipidemia and remain the first-line therapy for preventing atherosclerotic cardiovascular disease. Despite these advantages, concerns regarding adverse effects, particularly muscle-related symptoms, hepatotoxicity, and new-onset diabetes mellitus, often hinder adherence and compromise cardiovascular protection. This review summarizes current evidence on statin-associated adverse effects and explores strategies to optimize their management. Statin-associated muscle symptoms (SAMS) are the most frequently reported side effects; however, randomized controlled trials demonstrate a low true pharmacologic incidence (<3%). The majority of SAMS are attributable to patient misperception or the nocebo effect. Proper evaluation, including measurement of creatine kinase, dose adjustment, and consideration of alternative lipid-lowering strategies such as ezetimibe or proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, may allow patients to resume therapy. Statin therapy is also associated with a modest increase in new-onset diabetes, particularly at higher doses. However, the absolute risk is small and is outweighed by the substantial reduction in cardiovascular events. Hepatotoxicity related to statins is rare, generally mild, and reversible upon discontinuation. Clinically significant adverse effects of statins are uncommon, and most can be managed through careful patient assessment, objective diagnostic evaluation, and appropriate reassurance. Importantly, the cardiovascular benefits of statins far exceed their potential risks. Therefore, rather than avoiding statins because of concerns about side effects, clinicians should adopt evidence-based strategies to overcome these challenges and ensure safe, sustained cardiovascular protection.

Emotion dysregulation is a transdiagnostic risk factor in childhood psychopathology that contributes to externalizing behaviors. To address this, regulation-focused psychotherapy for children (RFP-C) has been developed as a manualized, short-term psychodynamic intervention for 5- to 12-year-olds with externalizing behaviors rooted in underlying emotion dysregulation and affective conflict. The therapy follows a structured protocol comprising 16 child play therapy sessions and 4 parent sessions. Therapists use symbolic play, identify defense-based play disruptions, and adopt affect labeling to enhance implicit emotion regulation. In parent sessions, the “triangle of conflict” was deployed to reframe behavior as defensive, strengthen reflective functioning, and scaffold regulatory growth. Pilot data (n=3) and a randomized controlled trial (n=43) demonstrated feasibility, high adherence, and statistically significant reductions in oppositional defiant symptoms, with maintenance at the three- and six-month follow-ups. The limitations included a small sample size, reliance on waitlist controls, and scarce long-term durability data. Future research is needed to conduct multisite trials with active comparators, assess applicability across diverse conditions, and examine changes in defense mechanisms. To implement RFP-C across broader clinical settings, it is crucial to train specialized clinicians, identify children who are well suited for RFP-C, and integrate appropriate interventions tailored to each child’s unique challenges.

Diffuse alveolar hemorrhage (DAH) is a rare but life-threatening condition characterized by bleeding into the alveolar spaces because of damage to the pulmonary microvasculature. While it is commonly associated with autoimmune or coagulation disorders, post-ictal DAH following a generalized tonic-clonic seizure is extremely rare, especially in pediatric populations. We report the case of a previously healthy 13-year-old boy with allergic rhinitis and buckwheat allergy who presented with his first generalized tonicclonic seizure. Following admission, he developed dyspnea and tachypnea (respiratory rate of 38/min); on hospital day 2, oxygen desaturation (SaO 2 88%) accompanied by hemoptysis. Laboratory tests showed no evidence of coagulopathy or autoimmune disease. Chest radiography and computed tomography revealed bilateral pulmonary infiltrates consistent with alveolar hemorrhage.Intravenous methylprednisolone (1 mg/kg for 3 days) was administered, resulting in rapid improvement of respiratory symptoms and imaging findings. This case highlights the importance of early clinical suspicion and imaging-based diagnosis of post-ictal DAH, and the necessity of prompt supportive management to achieve favorable outcomes.

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.

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.

Background: To investigate the fracture risks associated with anti-diabetic drugs in older women with type 2 diabetes mellitus (T2DM), who are particularly susceptible to skeletal fragility. Methods: Using data from the Korean National Health Insurance Service, this nested case-control study included 10,104 older women with T2DM and osteoporotic fractures (aged 66.5±3.4 years) matched in a 1:3 ratio with controls by birthdate, Charlson Comorbidity Index, and cohort entry date. We analyzed the odds of major osteoporotic fracture (MOF), vertebral fracture (VF), and non-VF (NVF) in users of sulfonylurea, thiazolidinedione (TZD), dipeptidyl peptidase-4 inhibitor, and sodium-glucose cotransporter 2 inhibitor (SGLT2i), compared to metformin (Met)-only users using multivariable logistic regression. Results: During a follow-up period of 3.8±2.8 years, TZD users had a higher risk of MOF than Met-only users (odds ratio [OR], 1.35; 95% confidence interval [CI], 1.19-1.53; P<0.001). Risks of VF and NVF were also increased in the TZD group (OR, 1.21; 95% CI 1.03-1.42; P=0.022 and OR, 1.32; 95% CI 1.14-1.52; P<0.001, respectively). No significant differences were observed in other drug groups. The increased risk of VF and NVF in the TZD group were particularly pronounced in patients with normal or osteopenic bone mineral density (BMD) and in those with normal body mass index (BMI), respectively. Conclusions In older women with T2DM, TZD use was associated with increased VF and NVF risks, particularly among those with normal or osteopenic BMD and normal BMI. SGLT2i showed no increased risk, but further large-scale studies are needed to confirm its skeletal safety.

Background: Quantitative computed tomography (QCT) is essential for assessing osteoporosis and monitoring spinal deformities. “Clari-QCT,” a software that uses artificial intelligence to analyze conventional computed tomography (CT) scans and produce QCTequivalent reports. This study aims to evaluate the effectiveness of Clari-QCT by comparing its results with traditional QCT, with the goal of validating new diagnostic tools for spinal deformities. Methods: The study analyzed dual energy X-ray absorptiometry, CT, and QCT data from 18 patients at Inha University Hospital. Clari-QCT software was evaluated for its ability to generate QCT-equivalent reports from CT images. The software processes abdomen CT images, calculates bone density in designated slices, and provides bone mineral density (BMD), T-score, and Z-score values. Patients were classified into normal, mild, and severe spinal deformity groups. Intraclass correlation coefficient (ICC) analysis was used to measure the agreement between actual and predicted BMD values. Results: The study included participants with an average age of 64 and a mean body mass index of 24.88. The average BMD was 94.7 g/cm³ by QCT and 122.5 g/cm³ by Clari- QCT, with individual differences ranging from 4.9 to 61.8. T-score discrepancies ranged from 0.16 to 6.86. ICC analysis showed moderate to high agreement between methods, with ICC1 values of 0.597, ICC2 of 0.64, ICC3 of 0.81, and ICC1k, ICC2k, ICC3k values ranging from 0.748 to 0.895. Conclusions Clari-QCT demonstrates good agreement with actual QCT measurements in normal and severe spinal deformity groups but shows reduced accuracy in patients with mild deformities. If the limitations are addressed, it could become a useful tool for monitoring bone health in patients with spinal deformities.