Prospective Validation Study Opens: AI-Powered Pediatric AKI Prediction Algorithm in ICU Settings — What Intensivists Need to Know

References

1. 1.Basu, R. K., Kaddourah, A., Terrell, T., Mottes, T., Wainwright, M. S., Goldstein, S. L., Akcan-Arikan, A., Menon, S., Basu, R. K., Kaddourah, A., Terrell, T., Mottes, T., Wainwright, M. S., Goldstein, S. L., & Akcan-Arikan, A. (2018). Assessment of Worldwide Acute Kidney Injury, Renal Angina and Epidemiology in critically ill children (AWARE): study protocol for a prospective observational study. BMC Nephrology, 19(1), 158. https://doi.org/10.1186/s12882-018-0955-x
2. 2.Dziorny, A. C. (2024). Prospective Validation of AKI Prediction Algorithm. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT06804200
3. 3.Kaddourah, A., Basu, R. K., Bagshaw, S. M., Goldstein, S. L., & AWARE Investigators. (2017). Epidemiology of acute kidney injury in critically ill children and young adults. New England Journal of Medicine, 376(1), 11-20. https://doi.org/10.1056/NEJMoa1611391
4. 4.Kellum, J. A., Lameire, N., Aspelin, P., Barsoum, R. S., Burdmann, E. A., Goldstein, S. L., Herzog, C. A., Joannidis, M., Kribben, A., Levey, A. S., MacLeod, A. M., Mehta, R. L., Murray, P. T., Naicker, S., Opal, S. M., Schaefer, F., Schetz, M., & Uchino, S. (2012). Kidney Disease: Improving Global Outcomes (KDIGO) Acute Kidney Injury Work Group. KDIGO Clinical Practice Guideline for Acute Kidney Injury. Kidney International Supplements, 2(1), 1-138. https://doi.org/10.1038/kisup.2012.1
5. 5.Sutherland, S. M., Byrnes, J. J., Kothari, M., Longhurst, C. A., Dutta, S., Garcia, P., & Goldstein, S. L. (2015). AKI in hospitalized children: comparing the pRIFLE, AKIN, and KDIGO definitions. Clinical Journal of the American Society of Nephrology, 10(4), 554-561. https://doi.org/10.2215/CJN.01900214