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A Large Animal Model for Acute Kidney Injury by Temporary Bilateral Renal Artery Occlusion
Published on: February 2, 2021
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Predicting mortality in acute kidney injury patients undergoing continuous renal replacement therapy using a
Zhenguo Zeng1, Kang Zou1, Chen Qing1
1Department of Critical Care Medicine, The First Affiliated Hospital of Nanchang University, Nanchang, China.
Frontiers in Physiology
|November 25, 2022
Summary
This study developed a predictive tool for mortality risk in patients with severe acute kidney injury (AKI) receiving continuous renal replacement therapy (CRRT). The tool identifies key factors to aid clinical decisions and personalize treatment for better outcomes.
Area of Science:
- Nephrology
- Critical Care Medicine
- Biostatistics
Background:
- Severe acute kidney injury (AKI) often necessitates continuous renal replacement therapy (CRRT) in hemodynamically unstable patients.
- Identifying prognostic factors for mortality in this population is crucial for effective management.
Purpose of the Study:
- To identify independent prognostic factors for all-cause mortality in patients with AKI undergoing CRRT.
- To develop and validate a predictive nomogram and web-based calculator for mortality risk assessment.
Main Methods:
- A cohort of 1,002 patients with AKI undergoing CRRT was analyzed.
- Data were split into training (n=670) and verification (n=332) sets.
- Cox proportional modeling was used to identify predictors, and a dynamic nomogram was constructed.
Main Results:
- Phosphate, Charlson comorbidity index, BMI, MAP, creatinine, albumin, and SOFA scores were significant predictors of mortality.
- The nomogram demonstrated satisfactory calibration and discrimination, with AUCs ranging from 0.779 to 0.806 across different time points (28, 56, 84 days).
- A web-based calculator was developed for practical application.
Conclusions:
- A validated web-based calculator can predict all-cause mortality risk in AKI patients receiving CRRT.
- This tool can assist clinicians in making informed decisions and tailoring personalized therapeutic strategies.
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