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Exploring the Patterns of Sleep Disordered Breathing in Systemic Sclerosis Patients
Sponsor: Assiut University
Summary
Systemic sclerosis (SSc) is a chronic autoimmune connective tissue disease characterized by progressive fibrosis of the skin and internal organs. Fatigue, non-restorative sleep, and poor sleep quality are frequently reported among patients with SSc, yet these symptoms remain under-recognized and under-investigated in clinical practice. Despite growing awareness of the burden of sleep-related symptoms, there is a significant lack of objective data regarding sleep disturbances in this population, particularly those assessed using polysomnography (PSG).
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
30
Start Date
2025-09-20
Completion Date
2026-10-01
Last Updated
2025-09-16
Healthy Volunteers
No
Interventions
Polysomnography (PSG)
Polysomnography (PSG) is the gold standard, multi-parametric diagnostic test used to comprehensively assess sleep architecture and diagnose sleep disorders. This objective, overnight recording captures simultaneous physiological data channels, including electroencephalography (EEG) to stage sleep, electrooculography (EOG) to detect eye movements, electromyography (EMG) to measure muscle tone, electrocardiography (ECG) for heart rhythm, respiratory effort (via thoracic and abdominal belts), nasal airflow, and pulse oximetry for blood oxygen saturation. As the primary/secondary outcome measure, PSG will be administered to quantitatively evaluate the intervention's effect on key sleep parameters such as total sleep time (TST), sleep efficiency (SE), wake after sleep onset (WASO), latency to sleep onset, and the frequency of sleep-disordered breathing events (e.g., Apnea-Hypopnea Index, AHI) or periodic limb movements.
Locations (1)
Assiut University hospital
Asyut, Asyut Governorate, Egypt