Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical Deployment Study.

J Med Internet Res · 2025 · PMC12521856 · PMID 41027023

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an overall trendno p-value reported

The analysis revealed an overall trend of a significant decrease in the number of patients with potential-to-mild AKI (stages 0/1) over time, accompanied by a progressive increase in the number of patients with moderate-to-severe AKI (stages 2/3).

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