Multidimensional Correlation Analysis of Heart Rate Variability and Weaning Assessment Parameters in Critically Mechanically Ventilated Patients
NCT07455214 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 100
Last updated 2026-04-09
Summary
Background: Conventional weaning assessments are widely used but often affected by factors such as poor patient cooperation, neuromuscular issues, or unstable consciousness, leading to uncertainty in extubation timing. Studies have shown that HRV differs significantly between successful and failed extubation cases. However, most research features small sample sizes, focuses on single HRV indicators, and lacks integration with traditional assessments, limiting HRV's clinical application.
Effect: The study aims to develop a predictive model combining HRV and traditional weaning indicators to provide a more objective and sensitive physiological reference for ventilator weaning decisions in critical care settings.
Conditions
- Weaning Invasive Mechanical Ventilation
Interventions
- DEVICE
-
BEATINFO ECG Sensor
This study will analyze changes in HRV time and frequency domain parameters during SBT, extubation, and post-extubation to evaluate their predictive value for weaning outcomes.
Sponsors & Collaborators
-
Fu Jen Catholic University Hospital
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 85 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2025-12-09
- Primary Completion
- 2026-08-31
- Completion
- 2026-08-31
Countries
- Taiwan
Study Locations
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