The Spread Pattern of New Practice in Liver Transplantation in the United States.

Clin Transplant

Division of Abdominal Transplant, Department of Surgery, Stanford University Medical Center, Stanford, California, USA.

Published: July 2024

Background: Introducing new liver transplantation (LT) practices, like unconventional donor use, incurs higher costs, making evaluation of their prognostic justification crucial. This study reexamines the spread pattern of new LT practices and its prognosis across the United States.

Methods: The study investigated the spread pattern of new practices using the UNOS database (2014-2023). Practices included LT for hepatitis B/C (HBV/HCV) nonviremic recipients with viremic donors, LT for COVID-19-positive recipients, and LT using onsite machine perfusion (OMP). One year post-LT patient and graft survival were also evaluated.

Results: LTs using HBV/HCV donors were common in the East, while LTs for COVID-19 recipients and those using OMP started predominantly in California, Arizona, Texas, and the Northeast. K-means cluster analysis identified three adoption groups: facilities with rapid, slow, and minimal adoption rates. Rapid adoption occurred mainly in high-volume centers, followed by a gradual increase in middle-volume centers, with little increase in low-volume centers. The current spread patterns did not significantly affect patient survival. Specifically, for LTs with HCV donors or COVID-19 recipients, patient and graft survivals in the rapid-increasing group was comparable to others. In LTs involving OMP, the rapid- or slow-increasing groups tended to have better patient survival (p = 0.05) and significantly improved graft survival rates (p = 0.02). Facilities adopting new practices often overlap across different practices.

Discussion: Our analysis revealed three distinct adoption groups across all practices, correlating the adoption aggressiveness with LT volume in centers. Aggressive adoption of new practices did not compromise patient and graft survivals, supporting the current strategy. Understanding historical trends could predict the rise in future LT cases with new practices, aiding in resource distribution.

Download full-text PDF

Source
http://dx.doi.org/10.1111/ctr.15379DOI Listing

Publication Analysis

Top Keywords

spread pattern
12
patient graft
12
liver transplantation
8
practices
8
pattern practices
8
graft survival
8
covid-19 recipients
8
adoption groups
8
patient survival
8
graft survivals
8

Similar Publications

Automatic detection and prediction of COVID-19 in cough audio signals using coronavirus herd immunity optimizer algorithm.

Sci Rep

January 2025

Department of Electronics and Communication Engineering, Sri Ramakrishna Institute of Technology, Coimbatore, Tamilnadu, India, 641010.

The global spread of COVID-19, particularly through cough symptoms, necessitates efficient diagnostic tools. COVID-19 patients exhibit unique cough sound patterns distinguishable from other respiratory conditions. This study proposes an advanced framework to detect and predict COVID-19 using deep learning from cough audio signals.

View Article and Find Full Text PDF

Bacteremia, a leading cause of death, generally arises after bacteria establish infection in a particular tissue and transit to secondary sites. Studying dissemination from primary sites by solely measuring bacterial burdens does not capture the movement of individual clones. By barcoding Klebsiella pneumoniae, a leading cause of bacteremia, we track pathogen dissemination following pneumonia.

View Article and Find Full Text PDF

Chronic stress typically leads to deficits in fear extinction. However, when a delay occurs from the end of chronic stress and the start of fear conditioning (a "recovery"), rats show improved context-cue discrimination, compared to recently stressed rats or nonstressed rats. The infralimbic cortex (IL) is important for fear extinction and undergoes neuronal remodeling after chronic stress ends, which could drive improved context-cue discrimination.

View Article and Find Full Text PDF

A biophysical basis for the spreading behavior and limited diffusion of Xist.

Cell

January 2025

Department of Molecular Biology, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Genetics, Harvard Medical School, Boston, MA, USA. Electronic address:

Xist RNA initiates X inactivation as it spreads in cis across the chromosome. Here, we reveal a biophysical basis for its cis-limited diffusion. Xist RNA and HNRNPK together drive a liquid-liquid phase separation (LLPS) that encapsulates the chromosome.

View Article and Find Full Text PDF

Carcinosarcoma (CS), also known as metaplastic breast carcinoma with mesenchymal differentiation, is one of the five distinct subtypes of metaplastic breast cancer. It is considered as a mixed, biphasic neoplasm consisting of a carcinomatous component combined with a malignant nonepithelial element of mesenchymal origin without an intermediate transition zone. Although cellular origin of this neoplasm remains controversial, most researchers declare that neoplastic cells derive from a cellular structure with potential biphasic differentiation.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!