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Prediction Model for eGFR Thresholds Guiding the Optimal Timing of Hemodialysis Preparation in Chronic Kidney Disease
Geo Neul Park1, Yoonwon Choi1, Ji Eun Moon2
1Division of Nephrology, Department of Internal Medicine, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, 170, Jomaru-ro, Bucheon 14584, Republic of Korea.
Insights
Predicting the best time for hemodialysis preparation in chronic kidney disease (CKD) is complex. This study identified key factors and developed a model to guide personalized end-stage kidney disease (ESKD) planning for better patient outcomes.
Area of Science:
- Nephrology
- Internal Medicine
- Clinical Prediction Models
Background:
- Chronic kidney disease (CKD) progression involves multiple factors, making optimal hemodialysis preparation timing challenging.
- Accurate timing for initiating renal replacement therapy is crucial for patient management and outcomes.
Purpose of the Study:
- To identify predictive factors for end-stage kidney disease (ESKD) progression.
- To develop and validate a predictive model for guiding hemodialysis preparation timing in CKD patients.
Main Methods:
- Retrospective analysis of 507 CKD patients progressing to ESKD requiring hemodialysis.
- Evaluation of estimated glomerular filtration rate (eGFR) at 6 months pre-hemodialysis (eGFR_6M) and its decline trajectory.
- Development and validation of a regression model using clinical predictors.
Main Results:
- Mean eGFR_6M was 11.7 mL/min/1.73 m²; higher in patients with diabetes mellitus (DM), cardiovascular disease (CVD), and hypoalbuminemia.
- Faster eGFR decline observed in patients with DM, liver cirrhosis (LC), and nephrotic-range proteinuria.
- A predictive model incorporating sex, mobility, DM, CVD, ejection fraction, BUN, and phosphate demonstrated 70-75% P30 performance.
Conclusions:
- The developed model offers an objective reference for nephrologists to time dialysis preparation.
- Personalized ESKD life planning can be supported, potentially improving patient outcomes.
- Identifying predictors aids in proactive management of CKD progression towards ESKD.
Abstract:
Background/Objectives: The progression of chronic kidney disease (CKD) is influenced by multiple factors, complicating the determination of the optimal timing for hemodialysis preparation. The aim of this study was to identify predictive factors and develop a model to guide this timing in patients with CKD. Methods: This retrospective study included patients who progressed to end-stage kidney disease (ESKD) and initiated hemodialysis after at least one year of follow-up at a single tertiary hospital between January 2011 and June 2024. The estimated glomerular filtration rate at 6 months before hemodialysis initiation (eGFR_6M), indicating timing for vascular access creation, and its decline trajectory were retrospectively analyzed according to underlying diseases and clinical conditions. A regression model was developed, and its performance was evaluated in internal and external validation cohorts. Results: Among 507 patients, the mean eGFR_6M was 11.7 ± 4.9 mL/min/1.73 m2, with higher values observed in patients with diabetes mellitus (DM), cardiovascular disease (CVD), stroke, dementia, liver cirrhosis (LC), nephrotic-range proteinuria, or hypoalbuminemia. The mean eGFR_6M decline rate was 8.3 ± 9.6 mL/min/1.73 m2/year, with more rapid declines observed in patients with DM, LC, nephrotic range proteinuria, and hypoalbuminemia. The model was developed using significant predictors-sex, impaired mobility, DM, CVD, left ventricular ejection fraction, blood urea nitrogen, and phosphate levels-and showed acceptable performance in both validation cohorts, with P30 ranging from 70% to 75%. Conclusions: This study provides nephrologists with an objective reference to guide the timing of dialysis preparation, supporting personalized ESKD life planning and improving patient outcomes.
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