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Establish the prediction model of progression of chronic kidney disease in the elderly based on artificial intelligence method and kidney phenotype map

Establish the prediction model of progression of chronic kidney disease in the elderly based on artificial intelligence method and kidney phenotype map - Establish the prediction model of progression of chronic kidney disease in the elderly based on artificial intelligence method and kidney phenotype map

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400090112
Enrollment
Unknown
Registered
2024-09-24
Start date
2022-10-25
Completion date
Unknown
Last updated
2024-09-30

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

Conditions

chronic kidney disease

Interventions

Grouping based on different renal phenotypes:NA

Sponsors

Beijing Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
65 Years to 100 Years

Inclusion criteria

Inclusion criteria: Inclusion criteria: ?Inpatients or outpatients of Renal Department of Beijing Hospital from 2022 to 2023 ?Age = 65 years old ?Meets the diagnostic criteria of stage CKD3-4 ?eGFR 15-60ml/min/1.73m2 ?Voluntary participation in this clinical study with written informed consent signed by patients prior to study commencement

Exclusion criteria

Exclusion criteria: Exclusion criteria: ?Meets the diagnosis of acute kidney injury ?Meets the diagnosis of acute kidney injury based on CKD ?Have a history of kidney transplantation or kidney replacement therapy ?The diagnosis is hereditary kidney disease ?Have a history of renal tumors and tumor resection ?Have an acute or chronic kidney infection ?Acute infection, trauma, and within 2 weeks after surgery ?Have mental illness or unable to cooperate with the operator ?People suffering from serious medical diseases such as coronary heart disease, emphysema, asthma, or who cannot tolerate breath holding for other reasons ?People unable to perform MRI, such as claustrophobic, fitted with a pacemaker or other metallic substance ?Pregnancy, lactation, or imminent pregnancy, lactation during the study ?Poor compliance (judged by the investigator) ?Other cases considered by the investigator unsuitable for inclusion

Design outcomes

Primary

MeasureTime frame
eGFR;

Secondary

MeasureTime frame
creatinine;

Countries

CHINA

Contacts

Public ContactMao yonghui

Beijing Hospital

mmdn2009@163.com+86 139 1091 3875

Outcome results

None listed

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