1. Validation of a new domiciliary diagnosis device for automatic diagnosis of patients with clinical suspicion of OSA
- Author
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Mohammad Hamdan Alkhraisat, Joaquín Durán Carro, Joaquín Durán-Cantolla, Carlos Egea Santaolalla, Odei Vegas Diaz de Guereñu, Gabriela Zamora Almeida, Eduardo Anitua, and Luis Saracho Rotaeche
- Subjects
Pulmonary and Respiratory Medicine ,medicine.medical_specialty ,business.industry ,Intraclass correlation ,Epworth Sleepiness Scale ,Body position ,Respiratory polygraphy ,03 medical and health sciences ,0302 clinical medicine ,Respiratory flow ,030228 respiratory system ,Heart rate ,Physical therapy ,medicine ,Nuclear medicine ,business ,030217 neurology & neurosurgery - Abstract
Background and objective Obstructive sleep apnoea is a prevalent and considerably underdiagnosed disease. The development of cost-effective, home-based, automatic diagnostic devices to improve the diagnosis accessibility is therefore essential. Methods In this study, a new portable polygraph (BTI-APNiA) was used to validate automatic scoring. This five-channel device records respiratory flow, oxygen saturation, heart rate, body position and snoring. The validation was performed in two phases. In the first phase, manual and automatic scorings of a new respiratory polygraphy (RP) device (BTI-APNiA) were compared. In the second phase, automatic analysis performed with BTI-APNiA was compared with manual scoring of a validated RP device (Embletta Gold). Results Phase I was completed by 424 patients (50.5% males, 52.2 ± 12.4 years, BMI of 25.4 ± 4.8 kg/m2 and Epworth Sleepiness Scale score of 8.0 ± 4.0). Manual and automatic analysis resulted in an apnoea–hypopnoea index (AHI) of 13.7 ± 12.7 and 14.0 ± 12.5 (P > 0.05), respectively. The interclass correlation coefficient (ICC) was 0.99 (P 0.05). The ICC was 0.68 (P < 0.01). Conclusion The automatic analysis of the BTI-APNiA is as accurate as manual analysis of AHI. This automatic analysis compared well with the manual analysis of a validated RP device (Embletta Gold).
- Published
- 2016
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