Factors associated with intensive care professionals' ability to identify patient-ventilator asynchronies: A systematic review and meta-analysis.
Andrés Mauricio Enriquez-Popayan, Henry Mauricio Parada-Gereda, José Julian Bernal-Sanchez
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In 30 seconds
This systematic review and meta-analysis examined factors influencing intensive care professionals' ability to identify patient-ventilator asynchronies, analyzing data from 12 studies with 4823 participants. It found that previous training in mechanical ventilation significantly increased the likelihood of correct identification (OR = 3.49; 95% CI: 1.95-6.25).
Key findings
- Previous training in mechanical ventilation was associated with a higher likelihood of correct identification (OR = 3.49; 95% CI: 1.95-6.25).
- Advanced academic training also improved identification rates (OR = 1.83; 95% CI: 1.07-3.16).
- Specific training in asynchronies or waveform interpretation did not show a significant association (OR = 1.75; 95% CI: 0.67-4.56).
- Most studies included were at low risk of bias, but evidence certainty was low.
Why it matters
Understanding the factors that enhance the identification of patient-ventilator asynchronies is crucial for improving ventilatory management in critically ill patients, potentially leading to better patient outcomes.
What to keep in mind
The certainty of the evidence was low, and some methodological limitations were identified in the included studies.