Clinical trials

Hepatitis B virus (HBV) reactivation is a serious complication after allogeneic haematopoietic stem cell transplantation (allo-HSCT), particularly in patients with resolved HBV infection (HBsAg-negative, anti-HBc-positive). The incidence ranges from 10% to 40%, and severe reactivation can lead to hepatitis flare, hepatic failure, and death. Several risk factors have been identified: low recipient anti-HBs titre, donor anti-HBs negativity, recipient age ≥50 years, chronic GVHD, and use of rituximab. However, no validated clinical prediction model exists for this specific population. The only available study (Zhang et al., BBMT 2020) performed risk factor analysis but did not develop a predictive nomogram, and the sample size was limited (only 16 reactivation events). Therefore, we aim to develop and externally validate a robust nomogram using a large multicentre retrospective cohort and then validate its performance in a prospective cohort

Engraftment syndrome (ES) is an early inflammatory complication after hematopoietic stem cell transplantation (HSCT) and has been associated with subsequent transplant-related complications and adverse clinical outcomes. However, ES is clinically heterogeneous, and its relationship with acute graft-versus-host disease (aGVHD), survival, and other post-transplant outcomes remains incompletely defined. This prospective observational cohort study aims to validate previously identified ES-associated risk factors, severity-oriented ES phenotypes, and their associations with grade II-IV aGVHD and clinical outcomes after HSCT. Patients undergoing HSCT will be prospectively followed for the development of ES, grade II-IV aGVHD, and clinical outcomes including overall survival, disease-free survival, relapse, and non-relapse mortality. The study will evaluate whether ES phenotypes and ES-related clinical characteristics can stratify patients according to subsequent aGVHD risk and post-transplant prognosis.

This study employs a dual-cohort design to develop and validate a prognostic model for Major Adverse Cardiovascular Events (MACE) following revascularization in immune thrombocytopenia (ITP) patients with Coronary Artery Disease (CAD). The model will be developed and trained using a retrospective multi-center cohort (development/training cohort). Its performance will then be prospectively validated in a separate, consecutively enrolled prospective cohort (validation cohort). The goal is to create an AI-based tool to assist in personalized risk assessment and decision-making for this high-risk population.