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Diagnosis of end-stage renal disease and prognosis prediction of peritoneal dialysis based on serum metabolomics and AI model

Early diagnosis of end-stage renal disease and prognosis prediction of peritoneal dialysis based on serum metabolomics

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400093944
Enrollment
Unknown
Registered
2024-12-13
Start date
2024-04-25
Completion date
Unknown
Last updated
2024-12-16

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

Conditions

Chronic kidney disease

Interventions

Patients with end-stage renal disease and peritoneal dialysis group:none
Normal control group:none

Sponsors

the Affiliated Drum Tower Hospital, Medical School of Nanjing University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: Provide informed consent prior to any particular study Age >=18 years, weight 45 to 90 kg (dry weight) Patients with end-stage renal disease (ESRD) or who have just entered peritoneal dialysis

Exclusion criteria

Exclusion criteria: Patient with tumor Previous kidney transplantation or planned kidney transplantation Women who are pregnant or breastfeeding Other special circumstances requiring withdrawal from the test

Design outcomes

Primary

MeasureTime frame
serum metabolites;—

Countries

China

Contacts

Public ContactTing Yang

the Affiliated Drum Tower Hospital, Medical School of Nanjing University

455814589@qq.com+86 158 5062 8040

Outcome results

None listed

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