Clinical Prediction Model of Obstructive Sleep Apnea at Mansoura University Hospitals

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

Study Overview

• Status: Completed
• Conditions: Osa Syndrome

Detailed Description

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

1. Patients aged >18 years old
2. presented with symptoms suggestive of OSA like excessive daytime sleepiness, snoring, nocturnal chocking and witnessed apnea Exclusion criteria :Patients with long-term use of medications known to affect sleep integrity,Current alcohol or drug abuse, History of psychosis ,Central sleep apnea syndromes ,Previous OSA surgery ,Other sleep disorders

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.

1. Physical examination:

   • All recorded vital data, height, weight, and body mass index (BMI) of the patients will be collected
   • The probability of OSA using the STOP-BANG and Berlinequestionnaire in all the patients will be collected
   • The calculated Epworth Sleepiness Scale (ESS) for each patient will be assessed.
2. Sleep Study (PSG) Diagnostic polysomnogram that had been done for all the patients for diagnostic purpose will be assessed.

• Study Type: Observational
• Enrollment (Actual): 1129

Contacts and Locations

Study Locations

• Egypt
  • Dakhlia
    • Mansoura, Dakhlia, Egypt, 050
      • Mansoura University

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: Adult; Older Adult
• Accepts Healthy Volunteers: N/A

• Sampling Method: Probability Sample

Study Population

Egyptian patients in sleep study unit, ChestDepartment Mansoura University Hospital, Egypt

Description

Inclusion Criteria:

1. Patients aged >18 years old
2. presented with symptoms suggestive of OSA like excessive daytime sleepiness, snoring, nocturnal chocking and witnessed apnea

Exclusion Criteria:

1. Patients with long-term use of medications known to affect sleep integrity Current
2. alcohol or drug abuse
3. History of psychosis
4. Central sleep apnea syndromes
5. Previous OSA surgery
6. Other sleep disorders

Study Plan

How is the study designed?

What is the study measuring?

Primary Outcome Measures

Outcome Measure	Measure Description	Time Frame
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.	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.	1 year

Collaborators and Investigators

• Sponsor: Mansoura University

Study record dates

Study Major Dates

• Study Start (Actual): October 20, 2022
• Primary Completion (Actual): October 20, 2023
• Study Completion (Actual): February 20, 2024

Study Registration Dates

• First Submitted: March 14, 2024
• First Submitted That Met QC Criteria: March 20, 2024
• First Posted (Actual): March 22, 2024

Study Record Updates

• Last Update Posted (Actual): March 22, 2024
• Last Update Submitted That Met QC Criteria: March 20, 2024
• Last Verified: March 1, 2024

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Nervous System Diseases; Respiratory Tract Diseases; Apnea; Respiration Disorders; Sleep Disorders, Intrinsic; Dyssomnias; Sleep Wake Disorders; Sleep Apnea Syndromes; Sleep Apnea, Obstructive
• Other Study ID Numbers: MS.22.09.2144

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No