Model for predicting progression of kidney disease
Not Applicable
- Conditions
- Health Condition 1: N189- Chronic kidney disease, unspecified
- Registration Number
- CTRI/2023/04/051692
- Lead Sponsor
- Kasturba Medical College, Manipal
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
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
Patients < 18 years of age, Patients on dialysis, with kidney failure, Patients whose records are having inadequate data, Patients on immunosuppressants, viral hepatitis and anticancer drugs.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method A set of predictors which regulate the rapid progression of chronic kidney disease in Indian population will be determined. <br/ ><br>A set of predictors which lead to progression of CKD to ESRD in Indian population will be determined <br/ ><br>Timepoint: three years
- Secondary Outcome Measures
Name Time Method 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