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Mozun R, Schlapbach LJ. A Critique of the "Conservative Versus Liberal Oxygenation Targets in Critically Ill Children" Multicenter, Randomized Clinical Trial Published in the Lancet 2024-More on "Less Is More?". Pediatr Crit Care Med 2024:00130478-990000000-00330. [PMID: 38602435 DOI: 10.1097/pcc.0000000000003519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Affiliation(s)
- Rebeca Mozun
- Department of Intensive Care and Neonatology, Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Luregn J Schlapbach
- Department of Intensive Care and Neonatology, Children's Research Center, University Children's Hospital Zurich, University of Zurich, Zurich, Switzerland
- Child Health Research Centre, The University of Queensland, Brisbane, QLD, Australia
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Heneghan JA, Walker SB, Fawcett A, Bennett TD, Dziorny AC, Sanchez-Pinto LN, Farris RW, Winter MC, Badke C, Martin B, Brown SR, McCrory MC, Ness-Cochinwala M, Rogerson C, Baloglu O, Harwayne-Gidansky I, Hudkins MR, Kamaleswaran R, Gangadharan S, Tripathi S, Mendonca EA, Markovitz BP, Mayampurath A, Spaeder MC. The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research. Pediatr Crit Care Med 2024; 25:364-374. [PMID: 38059732 PMCID: PMC10994770 DOI: 10.1097/pcc.0000000000003425] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
OBJECTIVE Perform a scoping review of supervised machine learning in pediatric critical care to identify published applications, methodologies, and implementation frequency to inform best practices for the development, validation, and reporting of predictive models in pediatric critical care. DESIGN Scoping review and expert opinion. SETTING We queried CINAHL Plus with Full Text (EBSCO), Cochrane Library (Wiley), Embase (Elsevier), Ovid Medline, and PubMed for articles published between 2000 and 2022 related to machine learning concepts and pediatric critical illness. Articles were excluded if the majority of patients were adults or neonates, if unsupervised machine learning was the primary methodology, or if information related to the development, validation, and/or implementation of the model was not reported. Article selection and data extraction were performed using dual review in the Covidence tool, with discrepancies resolved by consensus. SUBJECTS Articles reporting on the development, validation, or implementation of supervised machine learning models in the field of pediatric critical care medicine. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS Of 5075 identified studies, 141 articles were included. Studies were primarily (57%) performed at a single site. The majority took place in the United States (70%). Most were retrospective observational cohort studies. More than three-quarters of the articles were published between 2018 and 2022. The most common algorithms included logistic regression and random forest. Predicted events were most commonly death, transfer to ICU, and sepsis. Only 14% of articles reported external validation, and only a single model was implemented at publication. Reporting of validation methods, performance assessments, and implementation varied widely. Follow-up with authors suggests that implementation remains uncommon after model publication. CONCLUSIONS Publication of supervised machine learning models to address clinical challenges in pediatric critical care medicine has increased dramatically in the last 5 years. While these approaches have the potential to benefit children with critical illness, the literature demonstrates incomplete reporting, absence of external validation, and infrequent clinical implementation.
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Affiliation(s)
- Julia A. Heneghan
- Division of Pediatric Critical Care, University of Minnesota Masonic Children’s Hospital; Minneapolis, MN
| | - Sarah B. Walker
- Department of Pediatrics (Critical Care), Northwestern University Feinberg School of Medicine and Ann & Robert H. Lurie Children’s Hospital of Chicago; Chicago, IL
| | - Andrea Fawcett
- Department of Clinical and Organizational Development; Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL
| | - Tellen D. Bennett
- Departments of Biomedical Informatics and Pediatrics (Critical Care Medicine), University of Colorado School of Medicine; Aurora, CO
| | - Adam C. Dziorny
- Department of Pediatrics, University of Rochester; Rochester, NY
| | - L. Nelson Sanchez-Pinto
- Department of Pediatrics (Critical Care) and Preventive Medicine (Health & Biomedical Informatics), Northwestern University Feinberg School of Medicine and Ann & Robert H. Lurie Children’s Hospital of Chicago; Chicago, IL
| | - Reid W.D. Farris
- Department of Pediatrics, University of Washington and Seattle Children’s Hospital; Seattle, WA
| | - Meredith C. Winter
- Department of Anesthesiology Critical Care Medicine, Children’s Hospital Los Angeles and Keck School of Medicine, University of Southern California; Los Angeles, CA
| | - Colleen Badke
- Department of Pediatrics (Critical Care), Northwestern University Feinberg School of Medicine and Ann & Robert H. Lurie Children’s Hospital of Chicago; Chicago, IL
| | - Blake Martin
- Departments of Biomedical Informatics and Pediatrics (Critical Care Medicine), University of Colorado School of Medicine; Aurora, CO
| | - Stephanie R. Brown
- Section of Pediatric Critical Care, Oklahoma Children’s Hospital and Department of Pediatrics, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Michael C. McCrory
- Department of Anesthesiology, Wake Forest University School of Medicine; Winston Salem, NC
| | | | - Colin Rogerson
- Division of Critical Care, Department of Pediatrics, Indiana University; Indianapolis, IN
| | - Orkun Baloglu
- Pediatric Critical Care Medicine and Pediatric Cardiology, Cleveland Clinic Children’s Center for Artificial Intelligence (C4AI), Cleveland Clinic; Cleveland, OH
| | | | - Matthew R. Hudkins
- Division of Pediatric Critical Care, Department of Pediatrics, Oregon Health & Science University; Portland, OR
| | - Rishikesan Kamaleswaran
- Departments of Biomedical Informatics and Pediatrics, Emory University School of Medicine; Department of Biomedical Engineering, Georgia Institute of Technology; Atlanta, GA
| | - Sandeep Gangadharan
- Department of Pediatrics, Mount Sinai Icahn School of Medicine; New York, NY
| | - Sandeep Tripathi
- Department of Pediatrics. University of Illinois College of Medicine at Peoria/OSF HealthCare, Children’s Hospital of Illinois; Peoria, IL
| | - Eneida A. Mendonca
- Division of Biomedical Informatics, Department of Pediatrics, Cincinnati Children’s Hospital Medical Center and University of Cincinnati; Cincinnati, OH
| | - Barry P. Markovitz
- Division of Pediatric Critical Care, Department of Pediatrics, University of Utah Spencer F Eccles School of Medicine, Intermountain Primary Children’s Hospital; Salt Lake City, UT
| | - Anoop Mayampurath
- Department of Biostatistics & Medical Informatics, University of Wisconsin-Madison; Madison, WI
| | - Michael C. Spaeder
- Department of Pediatrics, University of Virginia School of Medicine, Charlottesville, VA
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Affiliation(s)
- Erwin Ista
- Department of Neonatal and Pediatric Intensive Care, Division of Pediatric Intensive Care, Erasmus MC-Sophia Children's Hospital, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Division of Nursing Science, Erasmus MC, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Monique van Dijk
- Department of Neonatal and Pediatric Intensive Care, Division of Pediatric Intensive Care, Erasmus MC-Sophia Children's Hospital, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Division of Nursing Science, Erasmus MC, Erasmus University Medical Center Rotterdam, Rotterdam, The Netherlands
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Tasker RC. Editor's Choice Articles for February. Pediatr Crit Care Med 2024; 25:88-91. [PMID: 38240533 DOI: 10.1097/pcc.0000000000003431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2024]
Affiliation(s)
- Robert C Tasker
- orcid.org/0000-0003-3647-8113
- Department of Anesthesiology, Critical Care and Pain Medicine, Boston Children's Hospital, Boston, MA
- Selwyn College, Cambridge University, Cambridge, United Kingdom
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Lockwood CS, Ivers NM. Implementation science: a primer. JBI Evid Implement 2023; 21:307-309. [PMID: 38031899 DOI: 10.1097/xeb.0000000000000398] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2023]
Affiliation(s)
- Craig S Lockwood
- JBI, School of Public Health, The University of Adelaide, Adelaide, SA, Australia
| | - Noah M Ivers
- Department of Family and Community Medicine, Women's College Hospital, Toronto, ON, Canada
- Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, ON, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada
- Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, ON, Canada
- ICES, Toronto, ON, Canada
- Women's College Research Institute, Women's College Hospital, Toronto ON, Canada
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