Open access

Development and validation of machine learning models to predict 30-day mortality in patients with cardiac arrest complicated by acute kidney injury

Meng Yuan Lei Zhong Jie Min Ming-Xia Ni Yu-Feng Yao

Jan 2026 · Clinics · Vol 81 · 0 citations · 44 references

Medicine

TL;DR

LASSO-LR predicts 30-day mortality in CA-AKI (AUROC = 0.751, Brier = 0.209) and outperforms APACHE II and SOFA and SHAP and nomogram reveal oliguria and RDW as top predictors.

Abstract

Highlights • LASSO-LR predicts 30-day mortality in CA-AKI (AUROC = 0.751, Brier = 0.209).• LASSO-LR outperforms APACHE II (0.583) and SOFA (0.660).• SHAP and nomogram reveal oliguria and RDW as top predictors.

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