NCT07663591尚未招募不适用
Prediction of Changes in Pulmonary Function, Respiratory Muscle Performance, and Ventilatory Responses Following Incretin-Based Therapy in Individuals With Obesity Using Machine Learning
Biruni University0 个研究点目标入组 48 人开始时间: 2026年7月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 尚未招募
- 发起方
- 入组人数
- 48
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 25 Years 至 60 Years（Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Individuals aged 25-60 years
- •Individuals with a body mass index (BMI) ≥ 30 kg/m² according to the World - Health Organization (WHO) classification of obesity
- •Individuals who voluntarily agree to participate in the study
排除标准
- •Charlson Comorbidity Index (CCI) score ≥ 3 Uncontrolled arrhythmia, hypertension, heart failure, diabetes mellitus, or unstable angina pectoris Cognitive, orthopedic, or neurological conditions that may interfere with study assessments or treatment procedures History of lower extremity injury or surgery within the previous 6 months Diagnosis of diabetes mellitus with complications such as nephropathy, retinopathy, or neuropathy Presence of chronic respiratory disease Acute infection at the time of assessment Middle ear pathologies (e.g., tympanic membrane rupture or otitis) History of spontaneous or traumatic pneumothorax Current smoking Pregnancy STOP-Bang score ≥ 3 Participation in a structured weight-loss diet program or receipt of medical treatment for weight reduction during the assessment period History of endoscopic weight-loss procedures and/or bariatric surgery within the previous 12 months
研究者
Buket AKINCI
Prof. Dr.
Biruni University
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