Dialysis dependence is associated with poor prognosis in multiple myeloma: a multicenter retrospective cohort study.

Background: Patients with multiple myeloma (MM) and renal impairment (RI), particularly those requiring dialysis, have historically experienced poor outcomes. Despite advancements in targeted therapies, the prognosis of dialysis-dependent MM and factors influencing dialysis independence remain unclear.

Objectives: This study aimed to provide a comprehensive analysis of the clinical manifestations and treatment outcomes of dialysis-dependent MM patients in China, and to explore the factors associated with dialysis independence and long-term survival.

Development and validation of a risk prediction model for autologous arteriovenous fistula thrombosis in patients receiving maintenance hemodialysis.

Background: Thrombosis can lead to fistula failure and affect the smooth progress of hemodialysis. This study aims to develop and validate a nomogram for predicting the risk of autologous arteriovenous fistula thrombosis in patients undergoing maintenance hemodialysis.

Methods: A total of 1,016 patients who underwent hemodialysis at a tertiary A hospital in East China from February 2020 to March 2024 were retrospectively enrolled.

Double filtration plasmapheresis combined with rituximab for donor-specific antibody desensitization in haploidentical haematopoietic stem cell transplantation.

Donor-specific anti-HLA antibodies (DSA) are a major cause of engraftment failure in patients receiving haploidentical haematopoietic stem cell transplantation (Haplo-HSCT). Double filtration plasmapheresis (DFPP) avoids the unnecessary loss of plasma proteins and increases the efficiency of purification. To investigate the effectiveness of the desensitization protocol including DFPP and rituximab, we conducted a nested case-control study.

Development of a risk prediction nomogram for sarcopenia in hemodialysis patients.

Background: Sarcopenia is associated with various adverse outcomes in hemodialysis patients. However, current tools for assessing and diagnosing sarcopenia have limited applicability. In this study, we aimed to develop a simple and reliable nomogram to predict the risk of sarcopenia in hemodialysis patients that could assist physicians identify high-risk patients early.