QR code

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...

Volledige beschrijving

Bewaard in:
Hoofdauteurs: 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
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Wolters Kluwer 2026-06-01
Reeks:Critical Care Explorations
Online toegang:http://journals.lww.com/10.1097/CCE.0000000000001425
Tags: Voeg label toe
Geen labels, Wees de eerste die dit record labelt!

Gelijkaardige items