Related Experiment Video
Updated: Dec 11, 2025

How to Administer Near-Infrared Spectroscopy in Critically ill Neonates, Infants, and Children
Published on: August 19, 2020
Clinician Accuracy in Identifying and Predicting Organ Dysfunction in Critically Ill Children
Erin F Carlton1,2, Jeylan Close3,4, Kelli Paice3
1Department of Pediatrics, Division of Critical Care Medicine, University of Michigan, Ann Arbor, MI.
Pediatric Intensive Care Unit (PICU) clinicians accurately identified multiple organ dysfunction syndrome (MODS) in 80% of cases. However, their prediction of new or progressive MODS had a low positive predictive value of 22%, indicating limited clinical utility.
Area of Science:
- Pediatric critical care medicine
- Clinical diagnostics
- Patient outcomes
Background:
- Multiple organ dysfunction syndrome (MODS) is a significant cause of morbidity and mortality in critically ill children.
- Accurate identification and prediction of MODS are crucial for timely intervention and improved patient outcomes.
- Clinician accuracy in assessing organ dysfunction in the Pediatric Intensive Care Unit (PICU) requires further investigation.
Purpose of the Study:
- To evaluate the accuracy of PICU clinicians in identifying existing MODS.
- To assess the ability of clinicians to predict new or progressive MODS.
- To compare clinician accuracy across different provider types and explore factors influencing prediction accuracy.
Main Methods:
- Prospective cohort study conducted at a children's hospital PICU.
- Clinician assessments of organ dysfunction were compared against the Proulx criteria for MODS.
- Survey data collected from attending physicians, fellows, and residents/nurse practitioners on patient organ dysfunction and prediction confidence.
Main Results:
- Clinicians demonstrated approximately 80% accuracy in identifying existing MODS and predicting new/progressive MODS.
- The positive predictive value for new or progressive MODS was low at 22.1%, with weak likelihood ratios (3.0 positive, 0.7 negative).
- Accuracy did not significantly differ by clinician type (attending, fellow, resident/NP), and confidence showed a weak correlation with accuracy.
Conclusions:
- While PICU clinicians exhibit high overall accuracy in MODS identification, their predictive accuracy for new or progressive MODS is limited, primarily driven by correct negative predictions.
- The low positive predictive value suggests that clinician predictions of new or worsening MODS should be interpreted with caution.
- Further research may be needed to develop more robust tools for predicting MODS progression in critically ill children.
More Related Videos
11:02Identification and Quantification of Deranged Metabolites in Critically Ill Patients Using NMR-Based Metabolomics
Published on: November 29, 2024
11:27A Modified Sonographic Algorithm for Image Acquisition in Life-Threatening Emergencies in the Critically Ill Newborn
Published on: April 7, 2023
Related Concept Videos
Effect of Hepatic Disease on Pharmacokinetics: Pathophysiologic Assessment and Liver Function Test
Pharmacokinetics in Pediatric Patients: Drug Metabolism
Acute Kidney Injury IV: Diagnostic Studies and Prevention
Assessment of Ventilation I: Respiratory Rate
A Ventilation assessment is critical for monitoring a patient's health status. Respiration, one of the most accessible vital signs, provides insights into the function of numerous body systems and can indicate serious health issues, such as brainstem injuries from head trauma.
Critical Guidelines for Assessing Ventilation:
Acute Kidney Injury V: Interprofessional Care
Drug Dosing: Infants and Children