Dissemin is shutting down on January 1st, 2025

Published in

American Association of Critical Care Nurses, American Journal of Critical Care, 5(7), p. 335-345, 1998

DOI: 10.4037/ajcc1998.7.5.335

Links

Tools

Export citation

Search in Google Scholar

Weaning from mechanical ventilation: patterns in young children recovering from acute hypoxemic respiratory failure

Journal article published in 1998 by Ma A. Q. Curley ORCID, Jc C. Fackler
This paper was not found in any repository; the policy of its publisher is unknown or unclear.
This paper was not found in any repository; the policy of its publisher is unknown or unclear.

Full text: Unavailable

Red circle
Preprint: archiving forbidden
Red circle
Postprint: archiving forbidden
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

OBJECTIVE: The purpose of the study was to describe the patterns of weaning from mechanical ventilation in young children recovering from acute hypoxemic respiratory failure. METHODS: Decision-making rules on progressive weaning were developed and applied to existing data on 82 patients 2 weeks to 6 years old in the Pediatric Acute Respiratory Distress Syndrome Data Set. RESULTS: Three patterns of weaning progress were detected: sprint, consistent, and inconsistent. Length of ventilation and weaning progressively increased from the sprint, to the consistent, to the inconsistent subset. Patients in the inconsistent subset were most likely to have a systemic (sepsis or shock) trigger of acute respiratory distress syndrome and to be rated as having at least moderate disability at discharge. Hypothesis-generating univariate and then multivariate logistic regression analyses indicated that patients who experienced more days of mechanical ventilation before the start of weaning and who had a higher oxygenation index during the weaning process were most likely to have an inconsistent pattern of weaning. CONCLUSION: Patterns of weaning are discernible in a population of young children and indicate a subset at risk for inconsistent weaning. Knowing the patterns of weaning may help clinicians anticipate, perhaps plot, and then modulate a patient's weaning trajectory.