NCT03172806

Comparison of the New Algorithm of STOP-Bang in the Detection of Severe OSA Patients

• Status: Completed
• Phase: —
• Study type: Observational
• Enrollment: 293 (actual)
• Sponsor: Astes · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

The aim of this study was to compare the ability of clinical scores (P-SAP, OSA50, DES-OSA, STOP-Bang with former algorithm, and STOP-Bang with new algorithm).

Detailed description

Severe OSA (Obstructive Sleep Apnea) patients are at higher risk of postoperative complications. STOP-Bang has been proposed to detect OSA patients. It has been validated. New algorithm of STOP-Bang was proposed by the end of 2016. This aim of this study was to evaluate the ability of this new algorithm to detect severe OSA patients (patients with more than 30 events per hour). The new algorithm was also compared in this same ability with three others clinical score (P-SAP, OSA50 and DES-OSA).

Conditions

• Apnea, Sleep

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Polysomnography	To compare the ability of the clinical scores, all patients included in this study underwent a polysomnography.

Timeline

• Start date: 2016-08-01
• Primary completion: 2017-12-31
• Completion: 2018-01-31
• First posted: 2017-06-01
• Last updated: 2018-06-19

Locations

1 site across 1 country: Belgium