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ObjectivesTo compare the number of alarms, interventions and nurses' acceptance of automated ventilation with INTELLiVENT-ASV versus conventional ventilation strategy in patients receiving postoperative ventilation after cardiac surgery.MethodsThis preplanned secondary analysis of the 'POSITiVE' randomized clinical trial compared INTELLiVENT-ASV (automated ventilation) with conventional ventilation in postoperative cardiac surgery patients. The number of critical alarms and manual ventilator interventions were compared during the first three hours of ventilation or until extubation. Nurses' acceptance was assessed using a Technology Acceptance Model 2-based questionnaire and a user acceptance score from 1 to 10.ResultsPOSITiVE randomized 220 patients (109 to automated and 111 to conventional ventilation). The average number of critical alarms per monitoring hour was similar between the automated and conventional group (5.6 vs 5.7; p = 0.823). The automated group required fewer manual interventions per monitoring hour for both ventilation control (0.7 vs 1.9; p ConclusionsAutomated ventilation for postoperative cardiac surgery patients had similar alarm frequencies as conventional ventilation, but reduced the number of interventions and showed higher nurses' acceptance, indicating its potential to optimize patient care and reduce nurses' workload.Implications for clinical practiceOur findings suggest that automated ventilation modes like INTELLiVENT-ASV can reduce the frequency of manual interventions and improve nurses' acceptance, which may help alleviate nurses' workload for postoperative cardiac surgery patients.

Original publication

DOI

10.1016/j.iccn.2025.103963

Type

Journal article

Journal

Intensive & critical care nursing

Publication Date

08/2025

Volume

89

Addresses

Department of Medical Physics, Catharina Hospital, Eindhoven, Netherlands. Electronic address: lisan.v.haren@catharinaziekenhuis.nl.

Keywords

Humans, Respiration, Artificial, Postoperative Care, Cardiac Surgical Procedures, Automation, Aged, Middle Aged, Nurses, Female, Male, Clinical Alarms, Surveys and Questionnaires