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Prospective clinical validation and application research of an AI-based auxiliary decision-making prediction model for diabetic nephropathy

Prospective clinical validation and application research of an AI-based auxiliary decision-making prediction model for diabetic nephropathy

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600126748
Enrollment
Unknown
Registered
2026-06-15
Start date
2026-06-25
Completion date
Unknown
Last updated
2026-06-22

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

Conditions

Diabetic Kidney Disease

Interventions

Gold Standard:Renal biopsy pathology diagnosis results
Index test:A predictive model for diabetic kidney disease was developed by integrating medical big data, including demographic parameters (e.g., BMI, history of hypertension), hematological indicators

Sponsors

The First Affiliated Hospital of Army Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Age >= 18 years and = 30 mg/g) and/or estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73m²; 4. Scheduled for percutaneous renal biopsy as determined by the treating clinician for diagnostic purposes; 5. Voluntarily provided written informed consent to participate in this study and authorized the use of their clinical and follow-up data.

Exclusion criteria

Exclusion criteria: 1.Comorbidity with other systemic diseases known to cause renal damage (e.g., systemic lupus erythematosus, ANCA-associated vasculitis, multiple myeloma, etc.); 2.Received immunosuppressive therapy or high-dose glucocorticoid therapy within the past 3 months (which may interfere with pathological findings); 3.Presence of severe cardiac, hepatic, or pulmonary insufficiency, or other end-stage diseases; 4.Poor quality of renal biopsy specimens, precluding a definitive pathological diagnosis.

Design outcomes

Primary

MeasureTime frame
Area Under the ROC Curve;sensitivity;specificity;

Countries

China

Contacts

Public ContactZhao Hongwen

The First Affiliated Hospital of Army Medical University

zhaohw212@126.com+86 139 8336 0655

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jun 29, 2026