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Statistical analysis plan for the Strategy to Avoid Excessive Oxygen using Autonomous Oxygen Titration Intervention
David J Douin1, John D Rice2, Mengli Xiao3
1Department of Anesthesiology, University of Colorado School of Medicine, Aurora, Colorado, USA David.Douin@cuanschutz.edu.
This study investigates if autonomous oxygen titration systems safely improve normoxaemia in hospitalized adults. The goal is to optimize oxygen delivery and reduce adverse events in critical care settings.
Area of Science:
- Critical Care Medicine
- Respiratory Therapy
- Clinical Trials
Background:
- Supplemental oxygen is crucial for hypoxemia prevention in hospitalized patients.
- Current practices often lead to hyperoxemia and oxygen wastage due to excessive administration.
- Closed-loop autonomous oxygen titration systems aim to optimize oxygen delivery within a target range.
Purpose of the Study:
- To determine if closed-loop autonomous oxygen titration safely increases time in normoxemia (SpO2 90%-96%) in hospitalized adults.
- To compare autonomous oxygen titration with usual care in managing oxygen therapy.
- To evaluate the safety and efficacy of automated oxygen delivery systems.
Main Methods:
- A multicenter, unblinded, parallel-group, randomized trial involving 300 adults.
- Comparison of an autonomous oxygen titration system against usual care.
- Primary outcome: proportion of patient-time spent in normoxemia (SpO2 90%-96%) within the first 72 hours.
Main Results:
- The study is currently enrolling patients, with results to be disseminated upon completion.
- Key secondary outcomes include time spent in hypoxemia and hyperoxemia, and total oxygen administered.
- The trial protocol and statistical analysis plan have been finalized to ensure rigor.
Conclusions:
- The trial aims to provide crucial evidence on the effectiveness and safety of autonomous oxygen titration systems.
- Findings will inform clinical practice regarding optimal oxygen management in acute care settings.
- This research addresses a significant gap in understanding automated oxygen therapy for hospitalized patients.
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