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Updated: Aug 31, 2025

Halogenated Agent Delivery in Porcine Model of Acute Respiratory Distress Syndrome via an Intensive Care Unit Type Device
Published on: September 24, 2020
How traditional and digital analytics interventions can enhance lung-protective ventilation strategies during general
Cléa Gandon1, Yann Gricourt1, Maxime Thomas1
1Department of Anaesthesiology and Pain Management, Centre Hospitalo-Universitaire (CHU) Carémeau, Place du Professeur Debré, Nîmes, France; Montpellier University 1, Montpellier, France.
Purpose:
This quality improvement project evaluated interventions implemented to enhance individual adherence to a lung-protective ventilation strategy and its triad: low tidal volume, PEEP ≥ 5, recruitment manoeuvres.
Methods:
For two years, nine anaesthesia workstations were connected to an automated cloud-based analytics software tool, which automatically recorded ventilation parameters as soon as a new patient case was opened. Four quality improvement periods were determined over the first year: baseline, intervention, no intervention, intervention + digital. In the second year, the digital strategy was continued for nine months, followed by a final "overtime" period. Baseline and no intervention periods included no training. The intervention period included both conventional and educational programs. The digital period included pop-up messages, which automatically appeared on the screen of the anaesthesia data management system when patients were intubated. The primary endpoint was provider adherence to the recommended triad.
Results:
From October 2018 to December 2020, 12,883 procedures were performed. Data were available for 8968 procedures: baseline (n = 2361), intervention (n = 2423), no intervention (n = 1064), intervention + digital (n = 1862), overtime (n = 1258). Age, Predicted Body Weight, ASA score, type of surgery and airway management were similar between periods. At baseline, 75.2% of procedures reported low tidal volume but only 6.9% involved the complete triad. At over time, Triad was 22% (p < 0.001). Over study period, each parameter of the Triad (RM, Vt and Peep) increased (p < 0.001 vs. baseline), driving pressure decreased although EtCO2 and plateau pressure had not changed.
Conclusion:
Training with the help of digital apps improved LPV adherence over time.
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