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Related Experiment Video

Updated: Jul 11, 2026

5/6 Nephrectomy Using Sharp Bipolectomy Via Midline Laparotomy in Rats

5/6 Nephrectomy Using Sharp Bipolectomy Via Midline Laparotomy in Rats

Published on: April 4, 2025

Predicting renal replacement therapy and mortality in CKD.

Eric S Johnson¹, Micah L Thorp, Xiuhai Yang

¹Center for Health Research, Kaiser Permanente Northwest, Portland, OR 97227, USA.

American Journal of Kidney Diseases : the Official Journal of the National Kidney Foundation

|September 29, 2007

Summary

This study found that while age, sex, eGFR, diabetes, hypertension, and anemia effectively predict kidney replacement therapy (RRT) progression, hypertension and age have opposite effects on mortality. Separate risk scores are needed for RRT and mortality prediction.

Related Experiment Videos

Last Updated: Jul 11, 2026

5/6 Nephrectomy Using Sharp Bipolectomy Via Midline Laparotomy in Rats

5/6 Nephrectomy Using Sharp Bipolectomy Via Midline Laparotomy in Rats

Published on: April 4, 2025

Area of Science:

Nephrology
Epidemiology
Biostatistics

Background:

Prognostic risk scores aid clinicians in managing patients with chronic kidney disease (CKD).
Identifying predictors of CKD progression to renal replacement therapy (RRT) is crucial for patient management.
Understanding factors influencing mortality in CKD patients is essential.

Purpose of the Study:

To identify patient characteristics that predict the rate of progression to RRT.
To evaluate how these characteristics predict mortality.
To assess the prediction of a composite endpoint of RRT and mortality.

Main Methods:

Retrospective cohort study design.
Inclusion of 6,541 members from Kaiser Permanente Northwest with CKD (eGFR < 60 mL/min/1.73 m(2)).
Analysis using Cox regression to calculate adjusted hazard ratios and concordance statistics.

Main Results:

Six characteristics (age, sex, eGFR, diabetes, hypertension, anemia) effectively predicted RRT progression (c-statistic = 0.91).
Hypertension and age predicted mortality and the composite endpoint in the opposite direction.
Prediction for mortality (c-statistic = 0.70) and the composite endpoint (c-statistic = 0.71) was less effective.

Conclusions:

A distinct risk score is necessary for predicting RRT progression.
A separate risk score is recommended for the composite endpoint, prioritizing mortality predictors.
Missing data and lack of standardized measurement protocols limited the evaluation of certain risk factors.