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AKI-Pro score for predicting progression to severe acute kidney injury or death in patients with early acute kidney injury after cardiac surgery.

Authors :
Su, Ying
Wang, Peng
Hu, Yan
Liu, Wen-jun
Zhang, Yi-jie
Chen, Jia-qi
Deng, Yi-zhi
Lin, Shuang
Qiu, Yue
Li, Jia-kun
Chen, Chen
Tu, Guo-wei
Luo, Zhe
Source :
Journal of Translational Medicine. 6/15/2024, Vol. 22 Issue 1, p1-10. 10p.
Publication Year :
2024

Abstract

Background: No reliable clinical tools exist to predict acute kidney injury (AKI) progression. We aim to explore a scoring system for predicting the composite outcome of progression to severe AKI or death within seven days among early AKI patients after cardiac surgery. Methods: In this study, we used two independent cohorts, and patients who experienced mild/moderate AKI within 48 h after cardiac surgery were enrolled. Eventually, 3188 patients from the MIMIC-IV database were used as the derivation cohort, while 499 patients from the Zhongshan cohort were used as external validation. The primary outcome was defined by the composite outcome of progression to severe AKI or death within seven days after enrollment. The variables identified by LASSO regression analysis were entered into logistic regression models and were used to construct the risk score. Results: The composite outcome accounted for 3.7% (n = 119) and 7.6% (n = 38) of the derivation and validation cohorts, respectively. Six predictors were assembled into a risk score (AKI-Pro score), including female, baseline eGFR, aortic surgery, modified furosemide responsiveness index (mFRI), SOFA, and AKI stage. And we stratified the risk score into four groups: low, moderate, high, and very high risk. The risk score displayed satisfied predictive discrimination and calibration in the derivation and validation cohort. The AKI-Pro score discriminated the composite outcome better than CRATE score, Cleveland score, AKICS score, Simplified renal index, and SRI risk score (all P < 0.05). Conclusions: The AKI-Pro score is a new clinical tool that could assist clinicians to identify early AKI patients at high risk for AKI progression or death. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14795876
Volume :
22
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Translational Medicine
Publication Type :
Academic Journal
Accession number :
177895448
Full Text :
https://doi.org/10.1186/s12967-024-05279-4