Obesity is a major global health issue and a leading contributor to cardiovascular disease (CVD). While traditional research has emphasized diet and physical inactivity, psychological factors, particularly emotional eating, are increasingly recognized as important contributors to metabolic and cardiovascular health. Emotional eating, defined as eating in response to negative emotions, represents a maladaptive coping mechanism that promotes excessive caloric intake, visceral fat accumulation, and metabolic dysregulation. Chronic stress activates the hypothalamic-pituitary-adrenal axis, leading to increased cortisol secretion and appetite, while recurrent emotional eating behaviors reinforce this biological pathway and contribute to insulin resistance, dyslipidemia, hypertension, and systemic inflammation. Together, these mechanisms link psychological stress to cardiometabolic dysfunction and ultimately to increased CVD risk. Although direct evidence linking emotional eating to clinical CVD outcomes remains limited, accumulating evidence supports its role as a behavioral mediator connecting psychological stress, metabolic abnormalities, and cardiovascular risk. Effective management of emotional eating requires an integrated approach that combines cognitive behavioral therapy, mindfulness-based strategies, stress management, healthy lifestyle modification, and pharmacological treatment for obesity when indicated. Recognizing emotional eating as a modifiable behavioral risk factor may open new opportunities for early prevention and holistic management of CVD.

Purpose: Medical artificial intelligence (AI) is rapidly being integrated into clinical practice and healthcare systems, raising concerns regarding safety, accountability, and governance. Despite its increasing importance, empirical comparative studies examining differences in perceptions of medical AI among key expert groups remain limited. This study aimed to compare and analyze perceptions of medical AI among medical and non-medical professionals and to systematically identify commonalities and differences across policy- and governance-relevant domains. Methods: Focus group interviews using open-ended questions were conducted with 30 experts (15 medical and 15 non-medical professionals) who had direct experience with medical AI. Data were analyzed using inductive thematic analysis combined with qualitative comparative analysis. Analytical rigor was strengthened through independent coding and consensus-based discussions. Results: Both groups recognized the potential of medical AI to bring meaningful changes to healthcare systems. However, medical professionals primarily evaluated medical AI in terms of clinical applicability, patient safety, explainability, and accountability. In contrast, non-medical professionals emphasized technological maturity, scalability, data infrastructure, standardization, and system-integration potential. Group-specific patterns also emerged regarding perceived limitations, autonomy, educational priorities, and classification frameworks, particularly in relation to clinical risk management versus system-level design and governance considerations. Conclusion: Differences in perceptions of medical AI are systematically associated with distinct interpretive frames shaped by professional roles and responsibility structures. Effective implementation and policy design for medical AI therefore require an integrated approach that accounts for these structural differences. This study provides empirical evidence and a conceptual foundation for future quantitative and mixed-methods research on medical AI governance.

Background: The conventional magnetic resonance imaging (MRI) grading system for foraminal stenosis (FS), known as the Lee classification, was introduced in 2010 and is widely utilized in clinical practice. Previous studies have reported that the conventional grading system for FS lacks prediction ability for surgical treatment. The purpose of this study was to develop a novel MRI grading system for lumbar FS with improved prediction ability for surgical treatment by incorporating facet effusion to indicate segmental instability. Methods: We retrospectively reviewed patients diagnosed with lumbar FS between 2011 and 2017 who had a follow-up period of at least 5 years. The FS severity was assessed using a conventional MRI grading system developed by Lee et al. We recorded whether the patient underwent surgical treatment for FS during the follow-up period and the time from the initial diagnosis to surgery. Survival analysis using a Kaplan-Meier curve and log-rank test was performed to verify the impact of FS severity on the surgical treatment. We performed additional survival analysis after modifying the grading system by incorporating the presence of excessive facet joint effusion assessed using axial MRI. We also compared the discrimination ability of the modified and conventional grading systems using Uno’s concordance index (C-index). Results: In total, 235 patients with a mean age of 63.7 years were included in this study. During the mean follow-up period of 8.1 years, 63 patients underwent surgical treatment for FS. The conventional grading system revealed no significant difference in survival between the grade 2 and 3 groups (p = 0.104). Conversely, the modified grading system revealed a significant difference in survival between the new grade 2 and 3 groups (p < 0.001). After modification, the discrimination ability, assessed using Uno’s Cindex, significantly improved from 0.69 to 0.73. Conclusions The Facet Effusion-Incorporating Grading System, which adds excessive facet joint effusion to the conventional MRI grading framework, demonstrated improved predictive value for surgical treatment and better discriminatory ability compared with the original system.

Subarachnoid hemorrhage (SAH) is a stroke subtype with high mortality and poor functional outcomes. Prompt occlusion of a ruptured aneurysm at an early stage is crucial to prevent rebleeding, which can result in even higher mortality and more severe disabilities. The most critical initial decision in SAH management is the choice of treatment method with surgical clipping or endovascular coiling. We aimed to develop an evidence-based clinical guideline to select the optimal initial treatment in patients with SAH. We developed this guideline based on evidence from systematic reviews and meta-analyses via a de novo process. A systematic literature review was conducted across four databases (MEDLINE, Embase, Cochrane, and KoreaMed) to answer two population, intervention, comparison, outcome questions comparing clipping and coiling. The risk of bias was assessed using ROB 2.0 and the Newcastle-Ottawa Scale. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagrams and meta-analyses were generated for functional outcome and mortality. We included six randomized control trials (RCTs) and 58 observational studies. Meta-analysis of RCTs showed that coiling improved functional outcomes compared to clipping (odds ratio [OR], 0.91; 95% confidence interval [CI], 0.86–0.97). No significant mortality difference was observed in RCTs (OR, 1.38; 95% CI, 0.91–2.09), but non-RCTs favored clipping for reduced mortality (OR, 0.77; 95% CI, 0.69–0.86). However, it is difficult to generalize these findings to all clinical situations, as patients with SAH have a highly variable clinical course. Final treatment decision should be tailored to the individual patient’s status, including aneurysm location, morphology, and the expertise available at the treatment center. Such decisions are best made by specialists such as a board-certified physician and should be explained to the patient and their caregivers, along with the rationale for selecting the most appropriate treatment at the given hospital. Korea has many certified endovascular neurosurgeons, cerebrovascular surgeons, and certified cerebrovascular centers. Proper selection of the most suitable treatment method by certified physicians and centers would greatly benefit patient outcomes and healthcare professionals.

Accurate and early identification of stroke and large vessel occlusion (LVO) in emergency settings is essential for improving patient outcomes and ensuring the efficient allocation of medical resources. This clinical practice guideline systematically reviews domestic and international literature and conducts meta-analyses to evaluate the utility and diagnostic accuracy of stroke assessment tools used in prehospital emergency medical services (EMS). We developed a guideline based on evidence from systematic reviews and meta-analyses via a de novo process. A systematic literature review was conducted to evaluate the usefulness of diagnostic EMS assessment tools for diagnosing stroke and LVO. Overall, 70 non-randomized control studies were selected for this study. A meta-analysis was conducted with a subgroup analysis to distinguish between patients with stroke and those with LVO. EMS tools demonstrated high sensitivity but low specificity for diagnosing stroke. In the prehospital setting, using validated EMS stroke assessment tools is recommended for the early identification of stroke and LVO. Upon hospital arrival, stroke specialists should conduct further evaluation and triage to confirm the diagnosis and guide appropriate management. Delays in diagnosing LVO are frequently unacceptable. While experts advocate for the use of EMS assessment tools to facilitate early identification of LVO, these tools alone lack adequate sensitivity. Therefore, further diagnostic evaluations and consultation with stroke specialists upon hospital arrival are recommended.

The mothership (MS) model, where patients are directly transferred to a thrombectomy-capable center, and the drip-and-ship (DS) model, where thrombolysis is initiated at the nearest primary stroke center before transfer for thrombectomy, are the primary transport modes for patients with stroke. We aimed to establish guidelines for selecting the appropriate transfer strategy based on emergent large vessel occlusion (LVO). We developed this guideline based on evidence from systematic reviews and meta-analyses via a de novo process. A systematic literature review was conducted across four databases (MEDLINE, Embase, Cochrane, and KoreaMed) to answer three Population, Intervention, Comparison, and Outcome questions comparing MS and DS models. The risk of bias was assessed using the Newcastle-Ottawa Scale. Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagrams and meta-analyses were generated for functional outcomes, mortality, and successful recanalization. Twenty-six non-randomized controlled studies showed that the MS model improved good functional outcomes by approximately 14% compared with the DS model (odds ratio [OR], 1.14; 95% confidence interval [CI], 1.00–1.30). Fifteen studies reported that mortality in the MS and DS models showed no significant differences (OR, 0.97; 95% CI, 0.84–1.11). Twenty-four studies revealed no significant difference in successful recanalization between the MS and DS models (OR, 0.87; 95% CI, 0.68–1.10). The MS model should be considered first to improve the functional outcome of patients with LVO. However, if thrombectomy cannot be performed immediately after thrombolysis, or if a thrombectomy-enabled hospital is not nearby, the DS model should be considered by stroke specialists depending on transportation time and regional factors. We suggest a mixed approach with the DS model based on specific circumstances or regions to ensure the optimum treatment of patients with acute ischemic stroke (AIS). Appropriate transport for patients with LVO improves the prognosis of AIS.

Background and Objectives: Circulating microRNAs (miRNAs) have been proposed as potential biomarkers in atrial fibrillation (AF) and heart failure (HF), but their role in patients with AF and heart failure with preserved ejection fraction (HFpEF) remains uncertain. Methods: We measured serum levels of 4 candidate miRNAs (miR-21, miR-146a, miR-146b, and miR-328) using quantitative polymerase chain reaction in 45 patients with persistent AF and HFpEF and five non-AF arrhythmia controls (Healthy). Expression levels were normalized to miR-16 and expressed as fold change (2−ΔCt ). Baseline (V1) and 3–6 months follow-up (V2) samples were analyzed, and comparisons were performed using non-parametric tests. Results: At baseline, none of the 4 miRNAs differed significantly between AF patients and Healthy controls; miR-21, 1.24 ± 0.55 vs. 1.15 ± 0.32 (P = 0.57); miR-146a, 0.66 ± 0.35 vs. 0.65 ± 0.06 (P = 0.71); miR-146b, 0.12 ± 0.07 vs. 0.11 ± 0.01 (P = 0.90); and miR-328, 0.08 ± 0.05 vs. 0.07 ± 0.03 (P = 0.95), all P > 0.5. Baseline comparisons were analyzed using relative expression values (2−ΔCt , normalized to miR-16), while longitudinal changes between V1 and V2 were assessed using fold change (2−ΔΔCt ). No significant longitudinal changes were observed across treatment groups. Conclusions In patients with persistent AF and HFpEF/HF with mildly reduced ejection fraction, circulating miR-21, miR-146a, miR-146b, and miR-328 showed no significant differences compared with the non-AF arrhythmia control group and did not change after 6 months of renin-angiotensin-aldosterone system-targeted therapy. These pilot data suggest that the short-term utility of biomarkers is limited and warrants validation in larger, randomized cohorts.

Purpose: Overactive bladder (OAB) symptoms may improve following surgical correction of cystocele. This study aimed to evaluate changes in urgency, the primary symptom of OAB, and identify factors associated with improvement in urgency after surgical treatment for cystocele. Methods: We conducted a retrospective analysis of medical records for patients who underwent surgical treatment for cystocele and had preoperative urgency measuring ≥3 on a 5-point urinary sensation scale. Patients were categorized into 2 groups based on their urgency status 3 months postsurgery: those with improved urgency and those without improvement. Improvement was defined as a reduction of 2 or more points on the scale following surgery. We compared preoperative clinical and urodynamic factors between the 2 groups. Results: A total of 137 patients were included in the study, with 98 (71.5%) showing improvement in urgency symptoms after surgery. The improved group had a significantly higher prevalence of preoperative urgency urinary incontinence (UUI) (62.2% vs. 30.8%, P=0.001) and bladder outlet obstruction (43.9% vs. 20.5%, P=0.011) compared to the nonimproved group. Urodynamic evaluations indicated that the detrusor pressure at maximum flow rate (PdetQmax) was significantly higher in the improved group than in the nonimproved group (P=0.004). Multivariate logistic regression analysis identified preoperative UUI, higher PdetQmax, and lower vaginal parity as independent predictors of improvement in urgency postoperatively. Conclusions Preoperative UUI, higher PdetQmax, and lower vaginal parity were significant predictors of postoperative improvement in urgency. Both clinical and urodynamic factors may help identify patients with cystocele and preoperative urgency who are most likely to benefit from anatomical correction.

Background: Identifying the risks related to the complications of electrical cardioversion (ECV) can alert the determinaton of rhythm control in patients with atrial fibrillation (AF). Methods: We retrospectively reviewed 1,058 patients who underwent ECV for persistent or long-standing persistent AF/atrial flutter (AFL) from multiple centers. Patients were classified into the no-complication (1,023 patients) and complication (35 patients) groups based on the following major complications: stroke and/or systemic embolism (SSE), myocardial infarction, major bleeding, implantation of cardiac implantable electronic devices, ventricular tachycardia/fibrillation, and death at 1 year follow-up after ECV. Results: Compared with the no-complication group, the complication group exhibited a higher proportion of female patients (37% vs. 22%), as well as a higher proportion of patients with older age (67 ± 11 vs. 61 ± 10 years), diabetes mellitus (DM) (49% vs. 24%), heart failure (HF) (49% vs. 30%), SSE (23% vs. 9%), high CHA 2 DS 2 -VASc (CV) score (3.6 ± 1.8 vs.2.2 ± 1.4), low left ventricular ejection fraction (LVEF) (50 ± 16% vs. 58 ± 21%), and high left atrial volume index (LAVI) (51 ± 26 vs. 40 ± 20 mL/m 2 ). Class I and III antiarrhythmics were less prescribed in the complication group than in the no-complication group (57% vs.76%). Univariate analysis for complications revealed age (≥ 65 years), female sex, DM, HF, SSE, LVEF (< 50%), LAVI (≥ 40 mL/m 2 ), CV score (≥ 3), bradycardia on Holter (< 60/min), and no antiarrhythmics as risk factors. Among these, multivariate analysis revealed clinical significance of female sex and SSE. Conclusion Female sex and a history of SSE were the most important risk factors of complications in patients with persistent or long-standing persistent AF/AFL who underwent ECV.

Purpose: Fluid intelligence (FI), a core cognitive function involved in reasoning and problem-solving, has been linked to psychiatric outcomes in observational studies. However, causal inferences remain challenging due to confounding and reverse causation. This study aimed to investigate the causal effects of FI on 10 major psychiatric disorders using Mendelian randomization (MR). Methods: We performed a phenome-wide association study-based two-sample MR analysis to evaluate the effects of genetically proxied FI on 10 psychiatric disorders. Genome-wide association study summary statistics were obtained from large-scale European cohort studies. The inverse-variance-weighted method served as the primary analytical method, and complementary sensitivity analyses were conducted to assess pleiotropy and heterogeneity. Results: Higher FI was causally associated with a reduced risk of attention-deficit/hyperactivity disorder (ADHD) (odds ratio [OR], 0.72; P< 0.001), schizophrenia (OR, 0.69; P= 0.016), and post-traumatic stress disorder (PTSD) (OR, 0.93; P= 0.006). In contrast, FI was positively associated with an increased risk of autism spectrum disorder (ASD; OR, 1.43; P < 0.001) and anorexia nervosa (OR, 1.39; P= 0.005). No significant associations were observed for major depressive disorder, anxiety disorder, bipolar disorder, obsessive-compulsive disorder, or postpartum depression. Sensitivity analyses supported the robustness of these findings, with no evidence of directional pleiotropy or undue influence of individual single-nucleotide polymorphisms. Conclusion This study provides genetic evidence that higher FI exerts divergent causal effects across psychiatric disorders, protective in externalizing and stress-related conditions (ADHD, PTSD, and schizophrenia) but associated with an increased risk of neurodevelopmental and internalizing conditions (ASD and anorexia nervosa). These findings highlight the need for a nuanced understanding of cognitive capacity in psychiatric vulnerability and guide preventive strategies tailored to disorder-specific cognitive profiles.