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Background: Liver transplant (LT) is the definitive treatment for end-stage liver disease. Limited resources and important post-operative implications for recipients compel judicious risk stratification and patient selection. However, little is known about the factors influencing physicians' assessment regarding patient selection for LT and risk evaluation.
Methods: We conducted a mixed-methods, cross-sectional survey involving Canadian hepatologists, anesthesiologists, LT surgeons, and French anesthesiologists. The survey contained quantitative questions and a vignette-based qualitative substudy about risk assessment and patient selection for LT. Descriptive statistics and qualitative content analyses were used.
Results: We obtained answers from 129 physicians, and 63 participated in the qualitative substudy. We observed considerable variability in risk assessment prior to LT and identified many factors perceived to increase the risk of complications. Clinicians reported that the acceptable incidence of at least 1 severe post-operative complication for a LT program was 20% (95% CI: 20-30%). They identified the presence of any comorbidity as increasing the risk of different post-operative complications, especially acute kidney injury and cardiovascular complications. Frailty and functional disorders, severity of the liver disease, renal failure and cardiovascular comorbidities prior to LT emerged as important risk factors for post-operative morbidity. Most respondents were willing to pursue LT in patients with grade III acute-on-chronic liver failure but were less often willing to do so when faced with the uncertainty of a clinical example.
Conclusions: Clinicians had a heterogeneous appraisal of the post-operative risk of complications following LT, as well as factors considered in risk assessment.
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http://dx.doi.org/10.3138/canlivj-2023-0037 | DOI Listing |
JMIR Hum Factors
September 2025
College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China.
Background: The rapid advancement of next-generation sequencing has significantly expanded the landscape of precision medicine. However, health care professionals face increasing challenges in keeping pace with the growing body of oncological knowledge and integrating it effectively into clinical workflows. Precision oncology decision support (PODS) tools aim to assist clinicians in navigating this complexity, yet their current functionalities only partially address clinical needs.
View Article and Find Full Text PDFJCO Clin Cancer Inform
August 2025
Telperian, Austin, TX.
Purpose: Lymphocytes play critical roles in cancer immunity and tumor surveillance. Radiation-induced lymphopenia (RIL) is a common side effect observed in patients with cancer undergoing chemoradiation therapy (CRT), leading to impaired immunity and worse clinical outcomes. Although proton beam therapy (PBT) has been suggested to reduce RIL risk compared with intensity-modulated radiation therapy (IMRT), this study used Bayesian counterfactual machine learning to identify distinct patient profiles and inform personalized radiation modality choice.
View Article and Find Full Text PDFBackground: Acute kidney injury (AKI) in patients with liver cirrhosis represents a significant clinical challenge with high mortality rates. This study aimed to develop and validate a machine learning-based prediction model for 28-day mortality in AKI patients with liver cirrhosis using the MIMIC-IV database.
Methods: This retrospective study analyzed data from 4,168 AKI patients, including 601 with concurrent liver cirrhosis, from the MIMIC-IV database.
J Infect Dev Ctries
August 2025
Hospital Infection Control Committee, Adana City Training and Research Hospital, Adana, Türkiye.
Introduction: Candida auris is a yeast that has a high mortality rate in critically ill patients and is resistant to many antifungal agents enhancing its clinical importance. Our study identifies the risk factors for C. auris invasive infection, antifungal susceptibility, and outcomes.
View Article and Find Full Text PDFPain Manag
September 2025
Pain Management Unit, Hospital Universitario Quirónsalud Madrid, Madrid, Spain.
Aims: The aim of this observational study is to describe the use of epiduroscopy to decrease the enlargement of the ligamentum flavum (LF) in patients with spinal stenosis, as well as the selection of the appropriate patient and the safety measures that enhance procedural success.
Materials & Methods: We introduce the patient selection protocol, define the appropriate indication and the safety measures to use the epiduroscopy as a tool to decrease the size of the LF and increase space, reducing possible complications.
Results: Among patients included in the study, there were no cases of access difficulty or coccydynia, and one case of urinary incontinence occurred in a patient with Schizas grade D (very severe) stenosis.