کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5621759 1406153 2016 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Full length article“Diagnosis of sleep apnea in network” respiratory polygraphy as a decentralization strategy
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب رفتاری
پیش نمایش صفحه اول مقاله
Full length article“Diagnosis of sleep apnea in network” respiratory polygraphy as a decentralization strategy
چکیده انگلیسی

IntroductionObstructive 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 methodsOCC technicians were trained both in the use of RP. Raw signals were sent to HBC via intranet software for scoring and final report.ResultsDuring 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).ConclusionsPhysicians 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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sleep Science - Volume 9, Issue 3, July–September 2016, Pages 244-248
نویسندگان
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