Mansoura University
Al Mansurah, Dakhlia, 050, Egypt
NCT Number: NCT06326580
Obstructive sleep apnea syndrome (OSAS)is a sleep breathing disorder manifested by complete apnea or partial hypopnea obstruction of the upper airway, which often remains undiagnosed and untreated (Kuczynski, W., 2019). These episodes, which should be more than 5 per hour and last at least 10 s, can lead to a sleep fragmentation and hypoxia (Huon, L.-K.A., 2017). OSAS predominantly affects 26% of individuals between 30 and 70 years in the U.S (apnea hypopnea index ≥5 events per hour) (Schwartz, M., 2018).
Obstructive sleep apnea it is increasingly recognized as an independent risk factor for cardiac, neurologic, and perioperative morbidities. Yet this disorder remains undiagnosed in a substantial portion of our population. It is imperative for all physicians to remain vigilant in identifying patients with signs and symptoms consistent with OSA (Park, J. G., 2011).
The test of hypothesis is to design a clinical prediction model of obstructive sleep apnea from collected data of the patients having symptoms of obstructive sleep apnea and the results of their sleep study
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Notify Me18 year and older
All sexes
Observational
Al Mansurah, Dakhlia, 050, Egypt
Aim of study:
To identify standard clinical parameters that may predict the presence of obstructive sleep apnea (OSA) among Egyptian patients in sleep study unit, ChestDepartment Mansoura University Hospital, Egypt Study Design :Retrospective study The study will include the patients who visited sleep outpatient clinic of sleep disordered breathing unit of Chest Department, Mansoura University from 2004 to 2022 Inclusion criteria
METHODS:
Study Design: this is retrospective study The recorded data of all patients which include all their symptoms and comorbidities as well as their use of any regular medications will be collected.
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 1 year
The recorded data of all patients which include all their symptoms and comorbidities as well as their use of any regular medications will be collected.
Mansoura University
Other
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