Clinical trial
Machine Learning Prediction of Respiratory Muscle Changes and Ventilatory Responses After Incretin-Based Therapy in Obesity
Opening soon · Not applicable · 0 countries · Registry ID NCT07663591
What this study is about
This study aims to evaluate changes in respiratory function, respiratory muscle performance, and ventilatory responses following incretin-based therapy in individuals with obesity, and to identify predictors of these changes through the application of machine learning methods.
Basic eligibility
Full registry criteria
Treatments and study arms
Incretin-based therapy
This study is a secondary analysis of data obtained from individuals with obesity who received incretin-based therapy in routine clinical practice. No study-specific intervention was assigned by the investigators.
Primary outcomes
Maximum inspiratory pressure (MIP) assessment will be performed using an intraoral pressure measuring device (MicroRPM, Micro Medical; UK) in accordance with ATS and ERS criteria. Measurements will be taken with a nasal clip in place and in a seated position. To prevent the risk of infection, a disposable mouthpiece and filter will be used for each participant. For maximum inspiratory pressure (MIP) measurement, maximal inspiration will be applied orally for a few seconds and the values will be recorded. Measurements will be repeated three times, and the best value that meets the measurement standard will be recorded in cmH2O. For the measurement to be considered valid, the difference between the two highest measurements must be less than 10%. When evaluating inspiratory muscle strength, age and gender-specific reference ranges will be considered. The reference equations developed by Bl…
Study locations
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