Epidemiological study of the impact on clinical outcomes with the introduction of ventilation algorithm: An interrupted time series analysis.

UMIN ID: UMIN000056943

Registered date:06/02/2025

Basic Information

• Recruitment status: Pending
• Health condition(s) or Problem(s) studied: Respiratory failure in need of mechanical ventilation management
• Date of first enrollment: 2025/02/01
• Target sample size: 100
• Countries of recruitment: Japan
• Study type: Interventional
• Intervention(s): Continue with usual patient care without implementing the PIT STOP MVP ventilator assessment algorithm. Each day, for each patient, the presence or absence of ventilation, ventilator setting mode, predicted body weight, minute ventilation, maximum airway pressure, PEEP, driving pressure, pressure support pressure, presence or absence of algorithm use, and the number of times the algorithm is used are recorded.

Outcome(s)

• Primary Outcome: duration of ventilator days
• Secondary Outcome: Re-intubated or not, date of ICU discharge, alive or not at ICU discharge, date of hospital discharge, alive or not at discharge, date of death, ventilator-free days, 28-day death.

Key inclusion & exclusion criteria

• Age minimum: 18years-old
• Age maximum: 120years-old
• Gender: Male and Female
• Exclude criteria: Patients expected to be weaned from ventilator within 24 hours

Related Information

• Primary Sponsor: Tohoku University
• Source(s) of Monetary Support: Tohoku University