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

Astes

Status: Completed

Conditions: Apnea, Sleep

Treatments: Diagnostic Test: Polysomnography

Study type: Observational

Funder types: Other

Identifiers

NCT03172806

NASB

Details and patient eligibility

About

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).

Full 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).

Enrollment: 293 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• All patients in the preoperative anesthesia visit between 01/08/2016 and 31/12/2017

Exclusion criteria

• Patient's refusal

Trial design

293 participants in 1 patient group

Study Group

Description:

All patients included in the study. First: clinical scores were collected in all patients. Second: all patients underwent a polysomnography in order to compare this results with these of the clinical scores.

Treatment:

Diagnostic Test: Polysomnography