Health Technology/clinical-trials

Phase IV Cluster-Randomized Trial Tests Machine Learning AKI Risk Prediction in Perioperative Care — What Clinicians Need to Know

247 Health News Editorial

·

1 June 2026

·

4 min read

·clinical-trials

A large pragmatic trial at UCSF tests whether machine learning-based AKI risk scores integrated into electronic health records can improve perioperative kidney protection and reduce postoperative acute kidney injury in 25,518 surgical patients.

Originally reported by ClinicalTrials.gov

References

  1. 1.University of California, San Francisco. (2024). Prediction of Acute Kidney Injury (AKI) After Surgery: A Pragmatic Three-Arm Cluster-Randomized Trial. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT07604662
  2. 2.Kellum, J. A., Romagnani, P., Ashuntantang, G., Ronco, C., Zarbock, A., & Anders, H. J. (2021). Acute kidney injury. Nature Reviews Disease Primers, 7(1), 52. https://doi.org/10.1038/s41572-021-00284-z
  3. 3.Bihorac, A., Ozrazgat-Baslanti, T., Ebadi, A., Motaei, A., Madkour, M., Pardalos, P. M., Lipori, G., Hogan, W. R., Efron, P. A., Moore, F., Moldawer, L. L., Wang, D. Z., Hobson, C. E., Rashidi, P., & Upchurch Jr, G. R. (2019). MySurgeryRisk: development and validation of a machine-learning risk algorithm for major complications and death after surgery. Annals of Surgery, 269(4), 652-662. https://doi.org/10.1097/SLA.0000000000002706
  4. 4.Khwaja, A. (2012). KDIGO clinical practice guidelines for acute kidney injury. Nephron Clinical Practice, 120(4), c179-c184. https://doi.org/10.1159/000339789
  5. 5.Ford, I., & Norrie, J. (2016). Pragmatic trials. New England Journal of Medicine, 375(5), 454-463. https://doi.org/10.1056/NEJMra1510059
  6. 6.Grams, M. E., Sang, Y., Coresh, J., Ballew, S., Matsushita, K., Molnar, M. Z., Szabo, Z., Mehta, R. L., & CKD Prognosis Consortium. (2016). Acute kidney injury after major surgery: a retrospective analysis of veterans health administration data. American Journal of Kidney Diseases, 68(6), 872-880. https://doi.org/10.1053/j.ajkd.2015.07.022
  7. 7.Coca, S. G., Singanamala, S., & Parikh, C. R. (2012). Chronic kidney disease after acute kidney injury: a systematic review and meta-analysis. Kidney International, 81(5), 442-448. https://doi.org/10.1038/ki.2011.379
  8. 8.Meersch, M., Schmidt, C., Hoffmeier, A., Van Aken, H., Wempe, C., Gerss, J., & Zarbock, A. (2017). Prevention of cardiac surgery-associated AKI by implementing the KDIGO guidelines in high risk patients identified by biomarkers. Journal of the American College of Cardiology, 69(3), 236-247. https://doi.org/10.1016/j.jacc.2016.10.019
Share:XLinkedIn
2

247 Health News Editorial

247 Health News is a medical intelligence platform delivering evidence-based research appraisals, clinical trial monitoring, and health technology news for healthcare professionals.

This content is for educational purposes for healthcare professionals only and does not constitute clinical advice. Clinical decisions should be based on individual patient assessment, current guidelines, and appropriate specialist consultation. Editorial Standards · Privacy Policy · Terms of Service