Actively Recruiting
Study of Pain Frequency and Factors in Adults on Mechanical Ventilation in Intensive Care Units
Led by Centro Universitário Augusto Motta · Updated on 2025-09-19
370
Participants Needed
4
Research Sites
14 weeks
Total Duration
AI-Summary
What this Trial Is About
This research aims to understand how common pain is and its related factors in patients who are on mechanical ventilators in Intensive Care Units ICUs, especially after surgery. Pain in these patients is challenging to assess and can affect their physical and emotional well-being. The study will explore how pain connects with patient-ventilator asynchrony, time to weaning off ventilation, length of ICU stay, and 28-day mortality. It is a prospective, multicenter observational study involving multiple hospitals. Participants will be assessed at two key times the second day after starting mechanical ventilation and the first day after sedation is reduced or stopped. Pain will be measured using two validated tools, the Behavioral Pain Scale BPS and the Critical Care Pain Observation Tool CPOT. Alongside pain assessment, ventilator settings, sedation and analgesia details, and the patient-ventilator asynchrony index will be recorded. Data collection will be standardized and coordinated across centers, with trained researchers entering information into a secure database. During the study, patient data such as age, sex, surgery type, and clinical scores will be collected. Researchers will evaluate pain intensity before and after routine tracheal suctioning, a known painful procedure, and track outcomes including time to successful weaning from ventilation, ICU discharge, and 28-day mortality. Statistical analyses will identify factors linked to pain and its impact on clinical outcomes. The total study duration will follow patients up to 28 days after enrollment.
CONDITIONS
Brief Title
Prevalence of Pain in Mechanically Ventilated Patients in Intensive Care Units
Research Team
A
Arthur S Ferreira, Dsc
Not the Right Trial for You?
Explore thousands of other clinical trials that might be a better match.
Sign up to get personalized trial recommendations delivered to your inbox.
Already have an account? Log in here