External Validation, Recalibration, and Extension of a Prediction Model of Early Acute Kidney Injury in Critically Ill Children Using Multicenter Data

BACKGROUND:. Acute kidney injury (AKI) is common in critically ill children and is associated with high morbidity and mortality. Risk prediction models designed for clinical decision support implementation can facilitate early identification and proactive mitigation of AKI risk. Existing models have...

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主要な著者:	Adam C. Dziorny, MD, PhD, Stephen Drury, MS, Alex Clark, MS, Reid W. D. Farris, MD, MS, Akira Nishisaki, MD, MSCE, Timothy T. Cornell, MD, Daniel S. Tawfik, MD, MS, Tellen D. Bennett, MD, MS, Sareen S. Shah, MD, Scott L. Weiss, MD, MSCE, Tahagod Mohamed, MD, Neel Shah, MD, James McMahon, PhD, Naveen Muthu, MD, Randall C. Wetzel, MBBS, Martin Zand, MD, PhD, L. Nelson Sanchez-Pinto, MD, MBI, On behalf of Pediatric Learning Health System Network (PEDSnet) and the PICU Data Collaborative
フォーマット:	Artigo
言語:	Inglês
出版事項:	Wolters Kluwer 2026-06-01
シリーズ:	Critical Care Explorations
オンライン･アクセス:	http://journals.lww.com/10.1097/CCE.0000000000001425
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