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Eur Respir J 2003; 21:253-259
Copyright ©ERS Journals Ltd 2003


Evaluation of a portable device for diagnosing the sleep apnoea/hypopnoea syndrome

K. Dingli, E.L. Coleman, M. Vennelle, S.P. Finch, P.K. Wraith, T.W. Mackay and N.J. Douglas

Sleep Centre, Royal Infirmary NHS Trust, Edinburgh, Scotland, UK

CORRESPONDENCE: N.J. Douglas, Dept of Medicine, Royal Infirmary NHS Trust, Lauriston Place, Edinburgh, EH3 9YW, Scotland, UK. Fax: 44 1315363255. E-mail: n.j.douglas@ed.ac.uk

Keywords: limited home studies, sleep apnoea diagnosis

Received: November 27, 2001
Accepted May 3, 2002

Waiting times for hospital-based monitoring of the obstructive sleep apnoea/hypopnoea syndrome (OSAHS) are rising. This study tested whether Embletta, a new portable device, may accurately diagnose OSAHS at home.

A synchronous comparison to polysomnography was performed in 40 patients and a comparison of home Embletta studies with in-laboratory polysomnography was performed in 61 patients.

In the synchronous study, the mean difference (polysomnography–Embletta) in apnoeas+hypopnoeas (A+H)·h–1 in bed was 2·h–1. In comparison to the apnoea/hypopnoea index (AHI)·h–1 slept, the Embletta (A+H)·h–1 in bed differed by 8·h–1. These data were used to construct diagnostic categories in symptomatic patients from their Embletta results: "OSAHS" (≥20 (A+H)·h–1 in bed), "possible OSAHS" (10–20 (A+H)·h–1 in bed) or "not OSAHS" (<10 (A+H)·h–1 in bed). In the home study, the mean difference in (A+H)·h–1 in bed was 3·h–1. In comparison to the polysomnographic AHI·h–1 slept, the Embletta (A+H)·h–1 in bed differed by 6±14·h–1. Using the above classification, all nine patients categorised as not OSAHS had AHI <15·h–1 slept on polysomnography and all 23 with OSAHS on Embletta had an AHI ≥15 on polysomnography, but 18 patients fell into the possible OSAHS category potentially requiring further investigation and 11 home studies failed.

Most patients were satisfactorily classified by home Embletta studies but 29 out of 61 required further investigation. The study suggested a 42% saving in diagnostic costs over polysomnography if this approach were adopted.




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