Exploration of trust between pediatric nurses and children with a medical diagnosis and their caregivers on inpatient care units: A scoping review.

Problem: Trust is central to the development of nurse-patient relationships. Pediatric nurses encounter difficulties developing trust with children and their caregivers. The purpose of this scoping review was to identify, examine, and summarize available evidence on the concept of trust among nurses and children/caregivers when admitted to hospital inpatient care units.

Effect of Biliary Drainage on the Prognosis of Patients with Hepatocellular Carcinoma and Bile Duct Invasion.

Background/aims: Bile duct invasion (BDI) is rarely observed in patients with advanced hepatocellular carcinoma (HCC), leading to hyperbilirubinemia. However, the efficacy of pretreatment biliary drainage for HCC patients with BDI and obstructive jaundice is currently unclear. Thus, the aim of this study was to assess the effect of biliary drainage on the prognosis of these patients.

Switching from tenofovir disoproxil fumarate to tenofovir alafenamide in virologically suppressed patient with chronic hepatitis B.

Background And Aim: Our study evaluated the outcomes of switching from tenofovir disoproxil fumarate (TDF) to tenofovir alafenamide (TAF) in patients with chronic hepatitis B (CHB). We assessed viral and biochemical responses as well as changes in the estimated glomerular filtration rate (eGFR) and bone mineral density (BMD).

Methods: This retrospective multicenter study included CHB patients who achieved virologic response (VR) (HBV DNA < 20 IU/mL) while on TDF and were subsequently switched to TAF between April 2018 and October 2021.

A Machine Learning Algorithm Facilitates Prognosis Prediction and Treatment Selection for Barcelona Clinic Liver Cancer Stage C Hepatocellular Carcinoma.

Purpose: Given its heterogeneity and diverse clinical outcomes, precise subclassification of Barcelona Clinic Liver Cancer stage C (BCLC-C) hepatocellular carcinoma (HCC) is required for appropriately determining patient prognosis and selecting treatment.

Experimental Design: We recruited 2,626 patients with BCLC-C HCC from multiple centers, comprising training/test (n = 1,693) and validation cohorts (n = 933). The XGBoost model was chosen for maximum performance among the machine learning (ML) models.