Retrospective Validation of a Computerized Physiologic Equation to Predict Minute Ventilation Needs in Critically Ill Children
Jonathan H. Pelletier, Jaskaran Rakkar, Alicia K. Au, Dana Y. Fuhrman, Robert S.B. Clark, Patrick M. Kochanek, Christopher M. Horvat- Critical Care and Intensive Care Medicine
- Pediatrics, Perinatology and Child Health
Objectives:
Mechanical ventilation (MV) is pervasive among critically ill children. We sought to validate a computerized physiologic equation to predict minute ventilation requirements in children and test its performance against clinician actions in an in silico trial.
Design:
Retrospective, electronic medical record linkage, cohort study.
Setting:
Quaternary PICU.
Patients:
Patients undergoing invasive MV, serial arterial blood gas (ABG) analysis within 1–6 hours, and pharmacologic neuromuscular blockade (NMB).
Measurements and Main Results:
ABG values were filtered to those occurring during periods of NMB. Simultaneous ABG and minute ventilation data were linked to predict serial Pa
Conclusions:
A computerized equation to predict minute ventilation requirements outperformed clinicians’ ventilator adjustments in 75% of ABGs from critically ill children in this retrospective analysis. Prospective validation studies are needed.