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1
The systematic review evaluated predictive models for sepsis-associated acute kidney injury (SA-AKI) using data from 15 studies with 46,490 patients.
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2
The pooled C-statistic for the predictive models was 0.817, indicating moderate-to-good discrimination for SA-AKI, but substantial heterogeneity was observed.
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3
Models developed in Asian regions showed a higher pooled C-statistic than those from North America, although the difference was not statistically significant.
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4
Studies with a low risk of bias demonstrated better predictive performance compared to those with a high risk of bias, with C-statistics of 0.847 and 0.762, respectively.
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5
The review suggests prioritizing external validation and developing population-specific models to enhance clinical utility and generalizability of SA-AKI prediction.
