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. 2025 Mar 3;8(3):e250107.
doi: 10.1001/jamanetworkopen.2025.0107.

Predicting Contrast-Associated Acute Kidney Injury

Yunlin Feng  1   2 , Min Jun  2 , Amanda Y Wang  2   3   4 , Song Ren  1 , Steven D Weisbord  5   6 , Rinaldo Bellomo  7 , Marlies Ostermann  8   9 , Clare Arnott  2 , Martin Gallagher  2   10
Affiliations

Predicting Contrast-Associated Acute Kidney Injury

Yunlin Feng et al. JAMA Netw Open. .
No abstract available

Plain language summary

This systematic review and meta-analysis updates a previous evaluation of the performance of risk-prediction models for contrast-associated acute kidney injury.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Jun reported receiving research funding from the Boehringer Ingelheim and Eli Lilly Alliance outside the area of the submitted work. Dr Weisbord reported receiving grants from the Department of Veterans Affairs during the conduct of the study. Dr Gallagher reported that his institution, The George Institute, has varying financial relationships with many entities, some of which may have interests in the topic area of this study. No other disclosures were reported.

Figures

Figure.
Figure.. Summary Receiver Operating Characteristic (sROC) Curves of C Statistics
A, The sROC curve of all 45 prediction models is presented. B, All sROC curves separated by prediction models included in the review by Silver et al review and those published afterward are presented. Among the 45 studies, 8 were included in the 2015 review by Silver et al and were separately summarized using the sROC curve analysis. AUC indicates area under the curve.
See this image and copyright information in PMC

References

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