“Diagnosis of sleep apnea in network” respiratory polygraphy as a decentralization strategy

Abstract

Introduction: Obstructive sleep apnea syndrome (OSA) is diagnosed through polysomnography (PSG) or respiratory polygraphy (RP). Self-administered home-based RP using devices with data transmission could facilitate diagnosis in distant populations. The purpose of this work was to describe a telemedicine initiative using RP in four satellite outpatient care clinics (OCC) of Buenos Aires Hospital Británico Central (HBC). Materials and methods: OCC technicians were trained both in the use of RP. Raw signals were sent to HBC via intranet software for scoring and final report. Results: During a 24-month 499 RP were performed in 499 patients: 303 men (60.7%) with the following characteristics (mean and standard deviation): valid time for manual analysis: 392.8 min (±100.1), AHI: 17.05 (±16.49 and percentile 25–75 [Pt]: 5–23) ev/hour, ODI (criterion 3%): 18.05 (±16.48 and Pt 25–75: 6–25) ev/hour, and time below 90% (T<90): 17.9% (±23.4 and Pt 25–75: 1–23). The distribution of diagnoses (absolute value and percentage) was: normal (66/13%), snoring (70/14%), mild (167/33.5%), moderate (110/22%), and severe (86/17.2%). Continuous positive airway pressure (CPAP) was indicated for 191 patients (38.6%). Twenty recordings (4%) were considered invalid and the RP had to be repeated. PSG at HBC was indicated in 60 (12.1%) cases (mild OSA or normal AHI with high ESS or cardiovascular disease). Conclusions: Physicians were able to diagnosis OSA by doing portable respiratory polygraphy at distance. The remote diagnosis strategy presented short delays, safe data transmission, and low rate of missing data.

Keywords

• Respiratory polygraphy
• OSA
• Telemedicine