Maintenance Hemodialysis

Patients on maintenance hemodialysis (MHD) face a high risk of cardiovascular mortality and reduced quality of life. Conventional high-flux hemodialysis (HD) is the standard of care but has limited efficacy in clearing middle-molecular and protein-bound uremic toxins (PBUTs). The accumulation of these toxins is associated with adverse long-term outcomes. This study evaluates the efficacy and safety of the pHA130 hemoadsorption cartridge, which utilizes a modified resin for enhanced PBUT adsorption, when combined with hemodialysis (HAHD). This is a prospective, open-label, multi-center, randomized controlled trial involving 100 MHD patients. Participants will be randomized 1:1 to either the HAHD group (receiving one HAHD session using the pHA130 cartridge and two standard HD sessions weekly) or the Control group (receiving three standard HD sessions weekly). The primary objective is to assess the reduction in serum indoxyl sulfate (IS) and p-cresol sulfate (PCS) levels from baseline to 12 months. Secondary objectives include evaluating changes in quality of life (KDQoL-SF, MMSE), the progression of coronary artery calcification (CAC), the incidence of major adverse cardiovascular events (MACEs), all-cause mortality, and safety profiles. This trial aims to determine if integrating long-term HAHD therapy can optimize blood purification strategies for the MHD population.

This study aims to evaluate whether a relaxation program guided by Artificial Intelligence (AI) can help reduce anxiety and improve coping mechanisms for patients receiving maintenance hemodialysis. Patients undergoing dialysis often face significant psychological stress and physical discomfort. This research uses a randomized controlled trial (RCT) with a parallel-group, pretest-posttest controlled design to compare patient well-being before and after using the AI-guided intervention. Participants will engage with an AI system designed to provide personalized relaxation techniques during their dialysis sessions. The study uses a mixed-methods approach. Quantitative: Researchers will use standardized scales to measure changes in anxiety levels, depression, coping strategies, and perceived relaxation. Qualitative: Researchers will conduct interviews with participants to understand their personal experiences, how they engaged with the AI technology, and how it influenced their ability to manage the stress of their treatment.

Many maintenance hemodialysis (MHD) patients develop negative outlooks due to their illnesses and complications, making their quality of life and prognosis a clinical concern. Effective life management and treatment cooperation are crucial to improving dialysis quality and patient outcomes. This trial aims to evaluate whether management through the "Yueya" mini-program and WeChat can provide personalized guidance such as health education, diet, exercise, medication supervision, and condition monitoring to enhance treatment compliance, quality of life, strengthen quality control in the hemodialysis unit, and improve patient prognosis. Patients will be divided into a group receiving support via the "Yueya" mini-program and WeChat, and a control group receiving routine care. Clinical and laboratory indicators, cardiovascular events, death, hospitalization, quality of life, and compliance will be recorded and compared between groups to assess the impact of APP-assisted patient management on the quality of MHD blood purification therapy and the prognosis of MHD patients.