Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: Liver transplantation (LT) for alcohol-associated hepatitis (AH) is a relatively new practice and limited work exists surrounding the role social determinants of health may play in evaluation. This includes language that defines how patients interact with the healthcare system. We explored characteristics of patients with AH evaluated for LT within an integrated health system.

Methods: Using a system-wide registry, we identified admissions for AH from 1 January 2016 to 31 July 2021. A multivariable logistic regression model was developed to evaluate independent predictors of LT evaluation.

Results: Among 1723 patients with AH, 95 patients (5.5%) underwent evaluation for LT. Evaluated patients were more likely have English as their preferred language (95.8% vs 87.9%, P = 0.020), and had higher INR (2.0 vs 1.4, P < 0.001) and bilirubin (6.2 vs 2.9, P < 0.001). AH patients who underwent evaluation had a lower burden of mood and stress disorders (10.5% vs 19.2%, P < 0.05). Patients with English preferred language had a greater than three times adjusted odds of LT evaluation compared with all others when adjusting for clinical disease severity, insurance status, sex, and psychiatric comorbid conditions (OR, 3.20; 95% CI, 1.14-9.02).

Conclusion: Patients with AH evaluated for LT were more likely to have English as their preferred language, more psychiatric comorbidities, and more severe liver disease. Despite adjustment for psychiatric comorbidities and disease severity, English preferred language remained the strongest predictor of evaluation. As programs expand LT for AH, it is vital to build equitable systems that account for the interaction between language and healthcare in transplantation.

Download full-text PDF

Source
http://dx.doi.org/10.1097/MEG.0000000000002576DOI Listing

Publication Analysis

Top Keywords

preferred language
8
liver transplantation
8
alcohol-associated hepatitis
8
patients
6
language disease
4
disease severity
4
severity predict
4
predict evaluation
4
evaluation liver
4
transplantation patients
4

Similar Publications

Background: Virtual reality (VR) and artificial intelligence (AI) technologies have advanced significantly over the past few decades, expanding into various fields, including dental education.

Purpose: To comprehensively review the application of VR and AI technologies in dentistry training, focusing on their impact on cognitive load management and skill enhancement. This study systematically summarizes the existing literature by means of a scoping review to explore the effects of the application of these technologies and to explore future directions.

View Article and Find Full Text PDF

Socioecological model and designing interventions for surgical patients with non-English preferred language.

Am J Surg

August 2025

Center for Surgery and Public Health, Department of Surgery, Brigham and Women's Hospital, Boston, MA, USA; Department of Surgery, Harvard Medical School, Boston, MA, USA. Electronic address:

View Article and Find Full Text PDF

Substitute economics and the threat of artificial intelligence providing pharmaceutical care.

Am J Pharm Educ

September 2025

Department of Pharmacotherapy, University of Utah College of Pharmacy, 30 South 2000 East, Salt Lake City, Utah 84112. Electronic address:

The accelerating adoption of artificial intelligence (AI), particularly large language models (LLMs) such as ChatGPT, has raised critical questions about the role of pharmacists and the potential for AI to substitute for human expertise in pharmaceutical care. Grounded in Porter's Five Forces framework-specifically the threat of substitutes-this commentary explores whether AI can adequately fulfill the complex and relational functions of pharmacists in delivering care to patients. Drawing from foundational definitions of pharmaceutical care and economic theories of substitution, the paper examines both historical and emerging competitors to pharmacist-provided services, including physicians, nurses, and now AI-powered tools.

View Article and Find Full Text PDF

This study investigates fundamental differences in the acquisition of morphological patterns by humans and large language models (LLMs) within an artificial language learning paradigm. Specifically, it compares how each system responds to variations in input structure-blocked versus interleaved sequences and juxtaposed versus spaced presentation-across verb classification and inflection tasks. While LLMs (GPT4mini, DeepSeek_V3, Llama3.

View Article and Find Full Text PDF

Objectives: This scoping review aimed to synthesise the currently available evidence and influencing factors on the occurrence of postoperative urinary retention (POUR) in older patients with hip fractures.

Design: This scoping review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guideline.

Data Sources: PubMed, Cochrane Library, CINAHL, Web of Science, Chinese National Knowledge Infrastructure, Wanfang Data and Sinomed databases were systematically searched from database inception to 1 September 2024.

View Article and Find Full Text PDF