ClinicalTrials.gov
public full text
Public Domain
Predictors of Rapid CKD Progression
This prospective observational cohort study aims to identify independent predictors of rapid chronic kidney disease (CKD) progression and determine its incidence among predialysis CKD patients. A total of 190 adult patients will be enrolled from the nephrology outpatient clinic and inpatient ward at Assiut University Hospitals and followed for 24 months. Rapid progression is defined as a sustained decline in eGFR \> 5 mL/min/1.73 m² per year according to KDIGO 2024 criteria. Clinical and laboratory parameters will be assessed at baseline and during follow-up to identify predictive factors
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Effect of Integrated CKD Care Program in Early Diabetic Nephropathy in Primary Health Care Setting.#1338222
- Functional Urodynamic Changes in Chronic Kidney Disease Patients and Does Insertion of Urinary Catheter Delay the Need for Kidney Dialysis#901076
- Evaluation of Respiratory Function and Functional Capacity in Pediatric Patients With Chronic Kidney Disease (CKD)#1151742
- Effectiveness and Safety of Finerenone in Chinese CKD Patients Without Diabetes Mellitus#848567
- Effects of TRF on Obese Patients With CKD Stage 3-4#856255
Record · ID 1454269
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive