Death One Hour After Terminal Extubation in Children: Validation of a Machine Learning Model to Predict Cardiac Death After Withdrawal of Life-Sustaining Treatment in a Multicenter Cohort, 2009-2021.

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Title: Death One Hour After Terminal Extubation in Children: Validation of a Machine Learning Model to Predict Cardiac Death After Withdrawal of Life-Sustaining Treatment in a Multicenter Cohort, 2009-2021.
Authors: Winter MC; Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA.; Department of Pediatrics, University of Southern California Keck School of Medicine, Los Angeles, CA., Zhou AX; Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA.; Laura P. and Leland K. Whittier Virtual Pediatric Intensive Care Unit, Los Angeles, CA., Laksana E; Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA.; Laura P. and Leland K. Whittier Virtual Pediatric Intensive Care Unit, Los Angeles, CA., Aczon MD; Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA.; Laura P. and Leland K. Whittier Virtual Pediatric Intensive Care Unit, Los Angeles, CA., Ledbetter DR; Baylor Scott & White Health, Dallas, TX., Avesar M; Division of Pediatric Critical Care Medicine, Loma Linda University Children's Hospital, Loma Linda, CA., Burkiewicz K; Pediatric Intensive Care, OSF HealthCare, Children's Hospital of Illinois, Peoria, IL., Chandnani HK; Division of Pediatric Critical Care Medicine, Loma Linda University Children's Hospital, Loma Linda, CA., Fainberg N; Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, PA., Hsu S; Division of Critical Care Medicine, Department of Pediatrics, The University of Texas Southwestern Medical Center at Dallas, Children's Health Medical Center Dallas, Dallas, TX., McCrory MC; Department of Anesthesiology and Pediatrics, Wake Forest University School of Medicine, Winston Salem, NC., Morrow KR; Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL., Noguchi A; Comprehensive Transplant Center, Johns Hopkins Hospital, Baltimore, MD., O'Brien CE; Department of Anesthesiology and Critical Care Medicine, Johns Hopkins University, Baltimore, MD., Ojha A; Michigan State University College of Human Medicine, Grand Rapids, MI., Pringle C; Department of Pediatrics, Critical Care Medicine, University of Florida, Gainesville, FL., Ross PA; Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA.; Department of Pediatrics, University of Southern California Keck School of Medicine, Los Angeles, CA., Shah J; Division of Pediatric Critical Care Medicine, Loma Linda University Children's Hospital, Loma Linda, CA., Shah S; Laura P. and Leland K. Whittier Virtual Pediatric Intensive Care Unit, Los Angeles, CA.; Division of Pediatric Critical Care, Department of Pediatrics, Cedars-Sinai Medical Center, Los Angeles, CA., Shpaner L; UCLA David Geffen School of Medicine, Los Angeles, CA., Siegel LB; Division of Pediatric Critical Care Medicine, Cohen Children's Medical Center, New Hyde Park, NY., Tripathi S; Pediatric Intensive Care, OSF HealthCare, Children's Hospital of Illinois, Peoria, IL., Wetzel RC; Department of Anesthesiology and Critical Care Medicine, Children's Hospital Los Angeles, Los Angeles, CA.; Department of Pediatrics, University of Southern California Keck School of Medicine, Los Angeles, CA.; Laura P. and Leland K. Whittier Virtual Pediatric Intensive Care Unit, Los Angeles, CA.
Corporate Authors: Pediatric Data Science and Analytics (PEDAL) subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators (PALISI) Network
Source: Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies [Pediatr Crit Care Med] 2025 Aug 01; Vol. 26 (8), pp. e997-e1008. Date of Electronic Publication: 2025 Jun 25.
Publication Type: Journal Article; Multicenter Study; Validation Study
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 100954653 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1529-7535 (Print) Linking ISSN: 15297535 NLM ISO Abbreviation: Pediatr Crit Care Med Subsets: MEDLINE
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