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Construction and Validation of a Machine Learning Model for Identifying Risk Factors of Arteriovenous Fistula Dysfunction in Hemodialysis Patients Based on Multimodal Data: A Multicenter, Bidirectional Cohort Study

Construction and Validation of a Machine Learning Model for Identifying Risk Factors of Arteriovenous Fistula Dysfunction in Hemodialysis Patients Based on Multimodal Data

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500113600
Enrollment
Unknown
Registered
2025-12-01
Start date
2025-12-01
Completion date
Unknown
Last updated
2025-12-08

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

Conditions

Arteriovenous Fistula Dysfunction in Hemodialysis Patients

Interventions

Observation Group:None

Sponsors

The Tenth Clinical Medical College of Guangzhou University of Traditional Chinese Medicine; Zhongshan Hospital of Traditional Chinese Medicine
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.Age between 18 and 80 years, regardless of gender; 2.End-stage chronic kidney disease patients undergoing regular dialysis at the Nephrology Department of Zhongshan Hospital of Traditional Chinese Medicine, with complications such as infection, acidosis, electrolyte imbalances, and heart failure effectively controlled; 3.Patients who have undergone forearm radial artery-cephalic vein arteriovenous fistula surgery; 4.Symptoms and signs conforming to the relevant standards of hemodialysis as outlined in the "Expert Consensus on Safe Injection Practices for Hemodialysis"; 5.Patients and their families are informed, agree to cooperate with treatment and follow-up, and sign an informed consent form; 6.The Allen test on the surgical limb indicates good palmar collateral circulation; 7.Preoperative color Doppler ultrasound shows a forearm vein diameter >=1.5mm and an artery diameter >=1.5mm.

Exclusion criteria

Exclusion criteria: 1.Patients with severe comorbidities, such as severe respiratory failure, heart failure, liver failure, disseminated intravascular coagulation, acute cerebrovascular diseases, malignant tumors, acute coronary syndrome, mental disorders, etc; 2.Patients who switch to other dialysis methods (such as peritoneal dialysis), are transferred to another hospital for treatment, undergo kidney transplantation, or die during the study; 3.Patients with incomplete clinical data; 4.Pregnant or breastfeeding patients.

Design outcomes

Primary

MeasureTime frame
Indicators Related to Arteriovenous Fistula Dysfunction;

Secondary

MeasureTime frame
Adverse event;

Countries

China

Contacts

Public ContactDing Zhengrong

The Tenth Clinical Medical College of Guangzhou University of Traditional Chinese Medicine; Zhongshan Hospital of Traditional Chinese Medicine

dzrgdzs@126.com+86 135 9088 3675

Outcome results

None listed

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