Literature DB >> 10933097

Evaluation of a portable respiratory recording device for detecting apnoeas and hypopnoeas in subjects from a general population.

E Ballester1, M Solans, X Vila, L Hernandez, L Quintó, I Bolivar, S Bardagi, J M Montserrat.   

Abstract

This study was designed to validate a new home portable respiratory recording device (PRRD) to identify sleep apnoea and hypopnoea in a group of subjects (n=116), from a sample of the general population. Full night polysomnography (PSG) was used as the gold standard and simultaneously performed with PRRD. PRRD measurements included oronasal airflow (thermistry), chest wall impedance, oxygen saturation, snoring and body position. The sensors were unique for each recording system. Data obtained was blindly reviewed and analysed. A high level of agreement between both methods apnoea/hypopnoea index by PSG and the respiratory disturbance index (RDI) by PRRD was observed. Accuracy of the PRRD was evaluated in terms of sensitivity and specificity for different RDI-PRRD cut-off points with respect to AHI-PSG >10 and AHI-PSG >30. A logistic regression model was performed to estimate the chance per unit of RDI of apnoeas. A received operating characteristic (ROC) curve was drawn to obtain the sensitivity/specificity profile for each observed RDI value obtained. From the ROC curve the authors identified the better cut-off points, which represent a balanced sensitivity/specificity. Through a classification table defined by the cut-off point, the post-odds to exhibit the disease was calculated. For a full PSG cut-off point of 10 a PRRD of six showed a balanced sensitivity of 95% and a specificity of 92%. For a full PSG cut-off point of 30 a PRRD of 16 shows a balanced sensitivity/specificity (100% and 97%, respectively). Post odds of apnoea were calculated for each cut-off point. In conclusion, these data suggest that the portable respiratory recording device is an effective device to identify apnoeas and hypopnoeas in a general population and is therefore a suitable device to be used in epidemiological studies.

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Year:  2000        PMID: 10933097     DOI: 10.1034/j.1399-3003.2000.16a22.x

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   16.671


  8 in total

1.  Impact of clinical assessment on use of data from unattended limited monitoring as opposed to full-in lab PSG in sleep disordered breathing.

Authors:  Maria Jose Masdeu; Indu Ayappa; Dennis Hwang; Anne M Mooney; David M Rapoport
Journal:  J Clin Sleep Med       Date:  2010-02-15       Impact factor: 4.062

2.  Sleep apnea monitoring and diagnosis based on pulse oximetry and tracheal sound signals.

Authors:  Azadeh Yadollahi; Eleni Giannouli; Zahra Moussavi
Journal:  Med Biol Eng Comput       Date:  2010-08-24       Impact factor: 2.602

3.  Evaluation of a single-channel portable monitor for the diagnosis of obstructive sleep apnea.

Authors:  Burcu Oktay; Thomas B Rice; Charles W Atwood; Michael Passero; Neeraj Gupta; Rachel Givelber; Oliver J Drumheller; Patricia Houck; Nancy Gordon; Patrick J Strollo
Journal:  J Clin Sleep Med       Date:  2011-08-15       Impact factor: 4.062

4.  Significance of including a surrogate arousal for sleep apnea-hypopnea syndrome diagnosis by respiratory polygraphy.

Authors:  Juan F Masa; Jaime Corral; Javier Gomez de Terreros; Joaquin Duran-Cantolla; Marta Cabello; Luis Hernández-Blasco; Carmen Monasterio; Alberto Alonso; Eusebi Chiner; Felipe Aizpuru; Jose Zamorano; Ricardo Cano; Jose M Montserrat; Estefania Garcia-Ledesma; Ricardo Pereira; Laura Cancelo; Angeles Martinez; Lirios Sacristan; Neus Salord; Miguel Carrera; José N Sancho-Chust; Cristina Embid
Journal:  Sleep       Date:  2013-02-01       Impact factor: 5.849

5.  Validation of a portable monitoring system for the diagnosis of obstructive sleep apnea syndrome.

Authors:  Rogerio Santos-Silva; Denis E Sartori; Viviane Truksinas; Eveli Truksinas; Fabiana F F D Alonso; Sergio Tufik; Lia R A Bittencourt
Journal:  Sleep       Date:  2009-05       Impact factor: 5.849

Review 6.  Computer-Assisted Diagnosis of the Sleep Apnea-Hypopnea Syndrome: A Review.

Authors:  Diego Alvarez-Estevez; Vicente Moret-Bonillo
Journal:  Sleep Disord       Date:  2015-07-21

7.  Early diagnosis of sleep related breathing disorders.

Authors:  Joachim T Maurer
Journal:  GMS Curr Top Otorhinolaryngol Head Neck Surg       Date:  2010-10-07

Review 8.  Utility of portable monitoring in the diagnosis of obstructive sleep apnea.

Authors:  U Krishnaswamy; A Aneja; R Mohan Kumar; T Prasanna Kumar
Journal:  J Postgrad Med       Date:  2015 Oct-Dec       Impact factor: 1.476

  8 in total

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