Severance Hospital is a hospital located in Sinchon-dong, Seodaemun District, South Korea. It is one of the oldest and biggest university hospitals in South Korea. It has 2,437 beds and treats approximately 2,500,000 outpatients and 840,000 inpatients annually.The hospital was founded as a royal hospital in 1885 by Horace N. Allen which was then restructured as Severance Hospital by Oliver R. Avison, a Canadian medical missionary with the advisory of Underwood, his role model and financial assistance from Louis H. Severance. On September 23, 1904, Avison's hospital, Severance Hospital and College, first opened its doors. Since 1957 it has been affiliated with Yonsei University College of Medicine, and is part of the Yonsei University Health System.
Purpose: This study aimed to identify the incidence and related factors of delirium among cancer patients admitted to the general wards of a tertiary hospital. Methods: A retrospective analysis was performed on 9,749 adult cancer patients. Patients who screened positive for delirium were assessed using the Korean version of the Nursing Delirium Screening Scale (NuDESC). Data were analyzed using chi 2 tests, t-tests, and multiple logistic regression. Results: The incidence of delirium was 2.5% (n=243) based on screening results. Significant predictors included older age, longer hospital stays, emergency room admission, 90-day readmission, completion of life-sustaining treatment decisions, surgical department admission, altered consciousness (the strongest predictor), elevated white blood cell and blood urea nitrogen levels, and low albumin levels (p<.050). These 10 factors showed high discriminatory power for delirium (AUC=.91, 95% CI: 0.90 similar to 0.93). Conclusion: The Nu-DESC should be actively utilized in clinical practice for early delirium detection. Nursing interventions must prioritize managing modifiable factors such as nutritional status, infection, and dehydration. Furthermore, case-sharing systems and regular education are essential to enhance nursing expertise and ensure patient safety.
BACKGROUND:Among asymptomatic patients with severe aortic stenosis, a previous analysis showed that the risk of a composite of death during surgery or within 30 days after surgery (called operative mortality) or death from cardiovascular causes was significantly lower with early surgery than with conservative care. However, the long-term survival benefit of early surgery, as compared with conservative care, remains unclear. METHODS:We randomly assigned asymptomatic patients with very severe aortic stenosis (defined as an aortic-valve area of ≤0.75 cm2 with a peak aortic jet velocity of ≥4.5 m per second) in a 1:1 ratio to undergo early surgery or receive conservative care. The primary end point was a composite of operative mortality or death from cardiovascular causes during the 10-year follow-up period. RESULTS:A total of 145 patients underwent randomization. In an intention-to-treat analysis, a primary end-point event occurred in 2 of 73 patients (3%) in the early-surgery group and in 17 of 72 (24%) in the conservative-care group (hazard ratio, 0.10; 95% confidence interval [CI], 0.02 to 0.43; P = 0.002). At 10 years, the cumulative incidence of operative mortality or death from cardiovascular causes was 1% in the early-surgery group and 19% in the conservative-care group. Death from any cause occurred in 11 patients (15%) in the early-surgery group and in 23 (32%) in the conservative-care group (hazard ratio, 0.42; 95% CI, 0.21 to 0.86). CONCLUSIONS:Among asymptomatic patients with very severe aortic stenosis, early surgery led to a lower risk of a composite of operative mortality or death from cardiovascular causes than conservative care at 10 years. (Funded by the Korean Institute of Medicine; RECOVERY ClinicalTrials.gov number, NCT01161732.).
Background: Large language model (LLM) proofreaders for radiology reports generate many false positives (FPs) due to the low prevalence of errors. Objective:This study aimed to determine whether an optimized LLM framework could improve both precision and cost-efficiency without compromising error detection capability. Methods: In this retrospective study, 1000 radiology reports (radiography, ultrasonography, computed tomography, and magnetic resonance imaging; 250 each) were sampled from the Medical Information Mart for Intensive Care III database. Two public chest radiography corpora (CheXpert and Open-i) served as external test sets. Three LLM frameworks were evaluated: single-prompt detector (framework 1); report extractor plus single-prompt detector (framework 2); and extractor, detector, and FP verifier (framework 3). Precision for each framework was assessed using positive predictive value (PPV) and detected errors per 1000 reports. Overall efficiency was estimated using model inference costs and reviewer labor costs. Results: PPV increased from 0.063 (95% CI 0.036-0.101) in framework 1 to 0.079 (95% CI 0.049-0.118) in framework 2 and 0.159 (95% CI 0.090-0.252) in framework 3 (P<.001). Despite improved PPV, detected errors remained stable (detected errors per 1000 reports: 12-14). Human review burden decreased from 192 to 88 reports. Framework 3 also reduced model inference costs to US $5.57 per 1000 reports (vs US $9.72 and US $6.85 for frameworks 1 and 2; 42.6% and 18.5% reductions, respectively). External validation confirmed similar improvements. Qualitative analysis revealed that remaining FPs in framework 3 were largely confined to cases requiring deep clinical context (clinically equivalent rephrasing: 53%; unsupported discrepancy assertions: 43%). By eliminating structural FPs (eg, section mismatches and lexical errors: 0%), the framework effectively shifted the quality assurance burden to a smaller set of ambiguous cases, enabling a targeted human-in-the-loop workflow. Conclusions: The multipass LLM improved the precision and cost-efficiency of radiology report error detection in real-world, low-error prevalence settings. The framework demonstrates the feasibility of synergistic artificial intelligence-radiologist collaboration and provides a cost-effective and scalable approach to artificial intelligence-assisted quality assurance in both radiological practice and research.
Background Septic shock requires careful risk stratification in patients aged 80 and over. Serum albumin levels reflect host status and, when combined with the severity of organ dysfunction, may enhance early prognostication. Here, we evaluated whether combining albumin levels with the Sequential Organ Failure Assessment (SOFA) score upon emergency department (ED) arrival can improve risk classification. Methods We conducted an observational study from October 2015 to May 2022 using a prospective multicenter registry of septic shock from 12 EDs in the Korean Shock Society. We included 1,300 (18.8%) patients with septic shock aged ≥80 years. The SOFA score was calculated in the ED at the time of septic shock recognition. Patients were divided into three groups according to albumin levels (cutoff, 3.5 g/dl) and the initial SOFA score (cutoff, 7): A, normal albumin with low SOFA score; B, high SOFA with normal albumin or low SOFA with low albumin; and C, low albumin with high SOFA score. The primary outcome was 28-day mortality. Results Groups A, B, and C included 175, 592, and 533 patients, with 28-day mortality rates of 12.0%, 26.9%, and 49.3%, respectively. Adjusted odds ratios (95% CI) for mortality were 3.02 (1.76–5.18) for group B and 5.80 (3.38–9.97) for group C vs. group A. Conclusions Combining the SOFA score with the albumin level allows early classification of patients aged ≥80 years with septic shock in the ED, facilitating treatment discussions, particularly decision-making with patients and their families.
Background: Patients with Fontan circulation experience significant morbidity from supraventricular tachyarrhythmias (SVTs). However, the electrophysiological features of SVT and the efficacy and safety of catheter ablation in patients with Fontan circulation are poorly understood. This study aimed to elucidate the electrophysiological features of SVT and evaluate the efficacy and safety of catheter ablation in patients with Fontan circulation. Methods: Forty-nine patients (age, 29.2±10.0 years; 27 males) with functional single ventricle and Fontan circulation who had undergone electrophysiological study for SVT were retrospectively enrolled. Parameters analyzed included underlying congenital heart disease, Fontan type, conduit puncture technique, tachycardia mechanisms, tachycardia origin site, acute success rate, procedure-related complications, and recurrence. Results: Fifty-nine SVTs were induced, and 69 catheter ablations were performed. The Fontan types included atriopulmonary connection (APC, 18.4%), lateral tunnel (LT, 38.8%), and extracardiac conduit (ECC, 42.9%). Inducible tachycardias included intra-atrial reentrant tachycardia (IART, 39.0%), focal atrial tachycardia (AT, 28.8%), atrioventricular reentrant tachycardia (11.9%), atrioventricular nodal reentrant tachycardia (10.2%), and atrioventricular reciprocating tachycardia involving the twin atrioventricular nodes (10.2%). The right atrial (RA) lateral wall was the most common location of IART and focal AT. The acute success and complication rates were 73.5% and 4.1%, respectively. Recurrence rate was 34.7% during follow-up of 78.0±71.9 months. The cumulative recurrence rate was significantly lower in patients who underwent LT or ECC Fontan procedures than in those who underwent the APC Fontan procedure (P<0.001). Conclusions: Catheter ablation for SVT is effective and safe in patients who have undergone LT and ECC Fontan procedures. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement This research did not receive any specific grants from funding agencies in the public, commercial, or not-for-profit sectors. ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: This retrospective multicenter cohort study was approved by the Institutional Review Board of Severance Hospital, Seoul National University Children's Hospital, and Sejong General Hospital (IRB number: 4-2025-1595, 2602-118-1718, 2026-02-006). I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes The data that support the findings of this study are available from the corresponding author, Jae-Sun Uhm, upon reasonable request.
