Ignite Creation Date:
2024-05-06 @ 8:16 PM
Last Modification Date:
2024-10-26 @ 3:24 PM
Study NCT ID:
NCT06326580
Status:
COMPLETED
Last Update Posted:
2024-03-22
First Post:
2024-03-14
Brief Title:
Clinical Prediction Model of Obstructive Sleep Apnea at Mansoura University Hospitals
Sponsor:
Mansoura University
Organization:
Mansoura University
Study Overview
Official Title:
Clinical Prediction Model of Obstructive Sleep Apnea at Mansoura University Hospitals
Status:
COMPLETED
Status Verified Date:
2024-03
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Obstructive sleep apnea syndrome OSASis 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-KA 2017 OSAS predominantly affects 26 of individuals between 30 and 70 years in the US 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
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
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 integrityCurrent 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
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 integrityCurrent 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 Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None