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Clinical Prediction Model of Obstructive Sleep Apnea at Mansoura University Hospitals

NCT06326580 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1129

Last updated 2024-03-22

No results posted yet for this study

Summary

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

Conditions

  • Osa Syndrome

Sponsors & Collaborators

  • Mansoura University

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-10-20
Primary Completion
2023-10-20
Completion
2024-02-20

Countries

  • Egypt

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06326580 on ClinicalTrials.gov