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Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world

The Lancet. Digital health, 2024-09, Vol.6 (9), p.e651-e661

2024

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A matched analysis of the use of high flow nasal cannula for pediatric severe acute asthma

Pediatric pulmonology, 2024-08

2024

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Identification of severe acute pediatric asthma phenotypes using unsupervised machine learning

Pediatric pulmonology, 2024-07

2024

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Identification and transcriptomic assessment of latent profile pediatric septic shock phenotypes

Critical care (London, England), 2024-07, Vol.28 (1), p.1, Article 246

2024

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phoenix : an R package and Python module for calculating the Phoenix pediatric sepsis score and criteria

JAMIA open, 2024-07, Vol.7 (3), p.ooae066

2024

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Accuracy and Interpretation of Transcutaneous Carbon Dioxide Monitoring in Critically Ill Children

Pediatric critical care medicine, 2024-06, Vol.25 (9), p.e372-e379

2024

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Biomarker Assessment of a High-Risk, Data-Driven Pediatric Sepsis Phenotype Characterized by Persistent Hypoxemia, Encephalopathy, and Shock

Pediatric critical care medicine, 2024-06

2024

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Medical Complexity, Language Use, and Outcomes in the Pediatric ICU

Pediatrics (Evanston), 2024-06, Vol.153 (6), p.1

2024

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316 Machine Learning to Predict Fluid Responsiveness in Hypotensive Children

Journal of clinical and translational science, 2024-04, Vol.8 (s1), p.97-97

2024

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International Consensus Criteria for Pediatric Sepsis and Septic Shock

JAMA : the journal of the American Medical Association, 2024-02, Vol.331 (8), p.665

2024

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Development and Validation of the Phoenix Criteria for Pediatric Sepsis and Septic Shock

JAMA : the journal of the American Medical Association, 2024-02, Vol.331 (8), p.675

2024

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895: IMMUNE PHENOTYPING RESULTS IN PEDIATRIC SEPSIS PATIENTS: IMPACT OF PREPROCESSING TIME INTERVALS

Critical care medicine, 2024-01, Vol.52 (1), p.S420-S420

2024

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26: THE INCREASING INCIDENCE OF INVASIVE BACTERIAL INFECTIONS DURING THE COVID-19 PANDEMIC

Critical care medicine, 2024-01, Vol.52 (1), p.S13-S13

2024

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1289: EXCESS DAILY BLOOD COUNT SAMPLING IN CHILDREN: A PICU DATA COLLABORATIVE STUDY

Critical care medicine, 2024-01, Vol.52 (1), p.S616-S616

2024

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862A: Association Between Medical Complexity and Preferred Language in the Pediatric Intensive Care Unit

Critical care medicine, 2024-01, Vol.52 (1), p.S404-S404

2024

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896: DEVELOPMENT OF A MULTICENTER CLOUD DATABASE AND LINKED BIOREPOSITORY FOR PEDIATRIC SEPSIS RESEARCH

Critical care medicine, 2024-01, Vol.52 (1), p.S420-S420

2024

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899: METABOLOMIC PROFILE OF HIGH-RISK PHENOTYPE OF SEPSIS-ASSOCIATED MODS: PERSISTENT HYPOXEMIA AND SHOCK

Critical care medicine, 2024-01, Vol.52 (1), p.S422-S422

2024

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Performance of Tools and Measures to Predict Fluid Responsiveness in Pediatric Shock and Critical Illness: A Systematic Review and Meta-Analysis

Pediatric critical care medicine, 2024-01, Vol.25 (1), p.24-36

2024

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791: PEDIATRIC SOFA SCORES ARE ASSOCIATED WITH CODE EVENTS IN CRITICALLY ILL CHILDREN

Critical care medicine, 2024-01, Vol.52 (1), p.S368-S368

2024

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Association between mortality and critical events within 48 hours of transfer to the pediatric intensive care unit

Frontiers in pediatrics, 2023-12, Vol.11, p.1284672-1284672

2023

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Predicting Duration of Invasive Mechanical Ventilation in the Pediatric ICU

Respiratory care, 2023-12, Vol.68 (12), p.1623-1630

2023

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Distinct clinical phenotypes in paediatric cancer patients with sepsis are associated with different outcomes—an international multicentre retrospective studyResearch in context

EClinicalMedicine, 2023-11, Vol.65, p.102252

2023

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Digital solutions in paediatric sepsis: current state, challenges, and opportunities to improve care around the world

A matched analysis of the use of high flow nasal cannula for pediatric severe acute asthma

Identification of severe acute pediatric asthma phenotypes using unsupervised machine learning

Identification and transcriptomic assessment of latent profile pediatric septic shock phenotypes

phoenix : an R package and Python module for calculating the Phoenix pediatric sepsis score and criteria

Accuracy and Interpretation of Transcutaneous Carbon Dioxide Monitoring in Critically Ill Children

Biomarker Assessment of a High-Risk, Data-Driven Pediatric Sepsis Phenotype Characterized by Persistent Hypoxemia, Encephalopathy, and Shock

Medical Complexity, Language Use, and Outcomes in the Pediatric ICU

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

316 Machine Learning to Predict Fluid Responsiveness in Hypotensive Children

International Consensus Criteria for Pediatric Sepsis and Septic Shock

Development and Validation of the Phoenix Criteria for Pediatric Sepsis and Septic Shock

895: IMMUNE PHENOTYPING RESULTS IN PEDIATRIC SEPSIS PATIENTS: IMPACT OF PREPROCESSING TIME INTERVALS

26: THE INCREASING INCIDENCE OF INVASIVE BACTERIAL INFECTIONS DURING THE COVID-19 PANDEMIC

1289: EXCESS DAILY BLOOD COUNT SAMPLING IN CHILDREN: A PICU DATA COLLABORATIVE STUDY

862A: Association Between Medical Complexity and Preferred Language in the Pediatric Intensive Care Unit

896: DEVELOPMENT OF A MULTICENTER CLOUD DATABASE AND LINKED BIOREPOSITORY FOR PEDIATRIC SEPSIS RESEARCH

899: METABOLOMIC PROFILE OF HIGH-RISK PHENOTYPE OF SEPSIS-ASSOCIATED MODS: PERSISTENT HYPOXEMIA AND SHOCK

Machine learning-driven identification of the gene-expression signature associated with a persistent multiple organ dysfunction trajectory in critical illnessResearch in context

Performance of Tools and Measures to Predict Fluid Responsiveness in Pediatric Shock and Critical Illness: A Systematic Review and Meta-Analysis

Machine learning-driven identification of the gene-expression signature associated with a persistent multiple organ dysfunction trajectory in critical illness

791: PEDIATRIC SOFA SCORES ARE ASSOCIATED WITH CODE EVENTS IN CRITICALLY ILL CHILDREN

Association between mortality and critical events within 48 hours of transfer to the pediatric intensive care unit

Predicting Duration of Invasive Mechanical Ventilation in the Pediatric ICU

Distinct clinical phenotypes in paediatric cancer patients with sepsis are associated with different outcomes—an international multicentre retrospective studyResearch in context

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