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Model for predicting progression of kidney disease

A predictive modeling approach for the risk of rapid progression of chronic kidney disease based on severity and etiology in the South Indian population

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2023/04/051692
Enrollment
5053
Registered
2023-04-17
Start date
Unknown
Completion date
Unknown
Last updated
2023-05-01

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

Conditions

Health Condition 1: N189- Chronic kidney disease, unspecified

Interventions

Control Intervention1: NIL: NIL

Sponsors

Kasturba Medical College, Manipal
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: The patients diagnosed with Chronic Kidney Disease (CKD) and eGFR <60ml/min/1.73m2, The patients with CKD admitted between Jan 2018-Dec 2022 will constitute the study cohort.

Exclusion criteria

Exclusion criteria: Patients

Design outcomes

Primary

MeasureTime frame
A set of predictors which regulate the rapid progression of chronic kidney disease in Indian population will be determined. A set of predictors which lead to progression of CKD to ESRD in Indian population will be determined Timepoint: three years—

Secondary

MeasureTime frame
By establishing clinical utility and usability, this study will provide an affirmation to build up a risk based strategy so that appropriate care is provided in such patient populationTimepoint: three years—

Countries

India

Contacts

Public ContactDr Ravindra Prabhu A

Kasturba Medical College, Manipal

ravindra.prabhu@manipal.edu9448107771

Outcome results

None listed

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