Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Objective: Determine the optimal scoring system for evaluation of 6-week bleeding-related mortality in liver cirrhosis patients with acute variceal bleeding (AVB). Prediction effects of six scoring systems, AIMS65 score, Glasgow-Blatchford (GBS) score, full Rockall (FRS) score, the model for end-stage liver disease (MELD), the MELD-Na model and the Child-Turcotte-Pugh (CTP) score were analyzed in this study.
Methods: A total of 202 liver cirrhosis patients with AVB were enrolled between 1 January 2014, and 31 December 2014. All subjects were scored according to AIMS65, GBS, FRS, MELD, MELD-Na and CTP scoring systems on the first day of admission. The primary endpoint of the study was 6-week mortality. The prediction effect of these scoring systems for 6-week mortality was compared by ROC curve and the area under the curve (AUC).
Results: The scores of nonsurvival group evaluated by the AIMS65, GBS, FRS, MELD, MELD-Na and CTP (2.6 ± 1.1, 12.9 ± 2.7, 6.6 ± 1.8, 26.9 ± 6.5, 31.6 ± 9.3, 9.6 ± 2.2, respectively) were higher than those of the survival group (1.2 ± 1.1, 10.2 ± 3.4, 5.1 ± 1.6, 21.0 ± 6.4, 22.8 ± 8.2, 7.7 ± 2.0, respectively) (p < .01). The values of AUC and Youden index of AIMS65 and MELD-Na scoring systems [(0.808, 0.453) and (0.781, 0.516), respectively] were superior to those of MELD (0.761, 0.454), CTP (0.748, 0.399), FRS (0.738, 0.358) and GBS scoring systems (0.726, 0.370).
Conclusions: AIMS65 and MELD-Na scoring systems are recommended for evaluation of 6-week bleeding-related mortality in liver cirrhosis patients with AVB.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1080/00365521.2018.1481518 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Leveraging GPT-4o for Automated Extraction and Categorization of CAD-RADS Features From Free-Text Coronary CT Angiography Reports: Diagnostic Study.
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.
Deep Learning-Based Pattern Recognition for Detecting Penile Abnormalities: Protocol for Developing a Mobile App for Circumcision Eligibility.
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 PDFExplainable Deep Learning Framework for Classifying Mandibular Fractures on Panoramic Radiographs.
J 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 PDFEffects of Injury Registry Data on Policymaking, Hospitalizations, and Mortality: Systematic Review.
JMIR 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 PDFNovel 3d-printed Coaxial Light Microscope Adapter for Ophthalmic Wet Lab.
J 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.