NCT07466329Completed
Research and Validation of a Big Data-Driven Intelligent Decision-Making System for Hemodialysis
Source: ClinicalTrials.gov · Last updated 17 Mar 2026
Brief summary (registry, in English)
Objectives and Scope:This observational study aims to leverage real-world data from Huashan Hospital to develop an AI-driven intelligent decision-making system for assessing dialysis adequacy in maintenance hemodialysis (MHD) patients, and to analyze early warning factors contributing to inadequate dialysis. Core Research Question:Can an AI-based early warning and diagnostic model, built on multidimensional big data, identify the risk of inadequate hemodialysis at an ultra-early stage and accurately diagnose composite complications such as cardiovascular and cerebrovascular diseases? Methodology:The study will conduct a retrospective analysis of adult MHD patients treated at Huashan Hospital between January 2011 and September 2025. The dataset encompasses multidimensional variables, including sociodemographics, treatment parameters, laboratory indicators, metabolomics, and physical functions. Utilizing Dynamic Network Biomarkers (DNB) technology to screen for early warning markers, combined with artificial intelligence algorithms such as Neural Networks and Support Vector Machines (SVM), the study will construct two primary models: "Ultra-early Warning" and "Disease State Diagnosis." These models are designed to provide clinical decision support for precise interventions.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 778 (actual)
- First submitted
- 8 Mar 2026
- Start date
- Jan 2011
- Primary completion date
- Sept 2025
- Lead sponsor
- Huashan Hospital
- Diseases
- Chronic kidney disease
- NCT number
- NCT07466329
What you commit to
- Study type: Observational
- Participants enrolled: 778
- From Jan 2011 to the primary completion date, Sept 2025
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Prior treatment
- Patients with poor compliance during dialysis or those receiving palliative dialysis.
Other illness
- Other conditions deemed unsuitable by the investigator.
Other
- Patients with significantly incomplete dialysis-related data.
Who the study is looking for
- Patients undergoing long-term maintenance hemodialysis with a dialysis vintage of at least 3 months.
- Aged between 18 and 90 years.
- Possess relatively comprehensive hemodialysis records maintained within this center.
Age in the registry: 18 years to 90 years · Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Huashan Hospital, Fudan University Coordinator of this site? Confirm its status | Shanghai | China | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.