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Research on Machine Learning-Based Information Systems for Predicting and Mitigating the Occurence of Intradialytic Hypotension.

Research on Machine Learning-Based Information Systems for Predicting and Mitigating the Occurence Of Intradialytic Hypotension.

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2000036973
Enrollment
Unknown
Registered
2020-08-25
Start date
2021-01-01
Completion date
Unknown
Last updated
2025-01-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Nephrology Disease/Hemodialysis

Interventions

control group:Current treatment mode
AI group:Routine intervention of anti intradialytic hypotension in advance based on AI prediction

Sponsors

Huashan Hospital Affiliated to Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 100 Years

Inclusion criteria

Inclusion criteria: Patients with uremia undergoing hemodialysis in the routine outpatient department of the blood purification center of North Huashan Hospital Affiliated to Fudan University, with a dialysis vintage of more than three months, can communicate normally, have normal cognitive level, are willing to participate in the experiment and sign informed consent forms, and have independent civil behavior capacity over 18 years old.

Exclusion criteria

Exclusion criteria: Unable to cooperate; mental disorders; diagnosed malignant tumor, the researchers judge that they are not suitable to participate in the experiment; the overall situation is poor, not suitable to participate in clinical trials.

Design outcomes

Primary

MeasureTime frame
Incidence of hypotension during dialysis;All cause mortality;

Secondary

MeasureTime frame
Incidence of major cardiovascular events;Incidence of all-cause hospitalization events;Incidence of all-cause vascular access;

Countries

China

Contacts

Public ContactWu Yuanhao

North Huashan Hospital Affiliated to Fudan University

slug_wu@msn.com+86 137 7428 6655

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026