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Background And Aims: Although endoscopy is the standard method for diagnosing esophageal varices (EV), it is only available in developed countries. This study aims to identify predictors of the initial variceal bleeding (VB) occurrence and to develop a scoring system to predict the VB in patients with cirrhosis.
Methods: This study analyzed 236 patients with cirrhosis who experienced their first upper gastrointestinal bleeding (UGIB) episode. A logistic regression model was used to identify independent risk factors for VB and create a scoring system. We assessed the predictive ability of the scoring system using the area under the receiver operating characteristic curve (AUC-ROC).
Results: Of the included patients, 154 had EV as the bleeding source. The following were identified as independent risk factors for the first VB episode: age over 60 years, diabetes mellitus (DM), absence of ischemic heart disease, platelets below 130,000/uL, albumin >2.9 g/dL, bilirubin level >1.4 mg/dL, and Child-Pugh score B. A score was developed by assigning points to each risk factor and summing the total score (maximum 7 points). This score was categorized into three risk groups: low risk <3 points; intermediate risk 3-4 points; and high risk ≥5 points. The performance score was assessed using AUC-ROC analysis. Both the low- and high-risk categories had high sensitivity but low specificity, while the intermediate-risk group had balanced sensitivity and specificity.
Conclusion: Our score is a valuable noninvasive tool for predicting the first VB episode. It helps determine the urgency of endoscopy and the need for aggressive management strategies.
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http://dx.doi.org/10.1016/j.arcmed.2025.103253 | DOI Listing |
JMIR Med Inform
September 2025
Departments of Radiology, The Third Affiliated Hospital, Sun Yat-Sen University, 600 Tianhe Road, Guangzhou, Guangdong, 510630, China, 86 18922109279, 86 20852523108.
Background: Despite the Coronary Artery Reporting and Data System (CAD-RADS) providing a standardized approach, radiologists continue to favor free-text reports. This preference creates significant challenges for data extraction and analysis in longitudinal studies, potentially limiting large-scale research and quality assessment initiatives.
Objective: To evaluate the ability of the generative pre-trained transformer (GPT)-4o model to convert real-world coronary computed tomography angiography (CCTA) free-text reports into structured data and automatically identify CAD-RADS categories and P categories.
JMIR Res Protoc
September 2025
Department of Urology, Faculty of Medicine, Universitas Indonesia - Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
Background: Circumcision is a widely practiced procedure with cultural and medical significance. However, certain penile abnormalities-such as hypospadias or webbed penis-may contraindicate the procedure and require specialized care. In low-resource settings, limited access to pediatric urologists often leads to missed or delayed diagnoses.
View Article and Find Full Text PDFJ Craniofac Surg
September 2025
Department of Oral and Maxillofacial Surgery, University of Ulsan Hospital, University of Ulsan College of Medicine.
This study aimed to develop a deep-learning model for the automatic classification of mandibular fractures using panoramic radiographs. A pretrained convolutional neural network (CNN) was used to classify fractures based on a novel, clinically relevant classification system. The dataset comprised 800 panoramic radiographs obtained from patients with facial trauma.
View Article and Find Full Text PDFJMIR Public Health Surveill
September 2025
Hospital Israelita Albert Einstein, 755 Comendador Elias Jafet Street, L1 Floor, Room 134, São Paulo, 05653-000, Brazil.
Background: The Brazilian project, launched in 2021, aims to establish a nationwide injury registry that systematically collects detailed information on incidents and individuals across the country, regardless of injury severity. The registry integrates information from prehospital and hospital care, various health systems lacking interoperability, and data from sectors such as firefighters and police. Its primary aim is to enhance health surveillance by providing timely, high-quality information that guides prevention strategies and informs policymaking.
View Article and Find Full Text PDFJ Cataract Refract Surg
September 2025
Ophthalmology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Purpose: To compare the usability and training effectiveness of a 3D-printed coaxial illumination system mounted on an off-the-shelf stereo-microscope to a professional ophthalmic surgical microscope, in cataract surgery simulation.
Setting: Ophthalmology Lab, Ophthalmology Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy.
Design: Prospective randomized crossover study.