Literature DB >> 14992679

Heart rate increment: an electrocardiological approach for the early detection of obstructive sleep apnoea/hypopnoea syndrome.

Frédéric Roche1, Emilia Sforza, David Duverney, Jean-René Borderies, Vincent Pichot, Odile Bigaignon, Gilles Ascher, Jean-Claude Barthélémy.   

Abstract

The prevalence of OSAHS (obstructive sleep apnoea/hypopnoea syndrome) is high in developed countries and it is estimated that the vast majority of patients remain undiagnosed. On the basis of physiological evidence, we evaluated the frequency component of HRI (heart rate increment) as a simple and inexpensive screening tool for OSAHS detection in a first group of patients (group 1) and validated their discriminant capacity in a second group (group 2). The predictive accuracy of hourly %VLFI (frequency-domain HRI variable obtained from nocturnal ECG Holter monitoring) was analysed by comparison with an hour-by-hour respiratory disturbances index assessed by complete polysomnography in 28 consecutive clinically suspected OSAHS patients for group 1 and in 35 patients for group 2. OSAHS was present in 20 patients according to a mean hourly apnoea plus hypopnoea index >10 in group 1, and prevalence reached 77.1% in group 2. Sensitivity, specificity and positive and negative predictive accuracy were calculated and an ROC (receiver operating characteristic) curve was constructed for several polysomnographic threshold values. In group 1, hourly %VLFI appeared as an evident predictor of the apnoea/hypopnoea index (W=0.848, P<0.0001; where W is the area under the curve obtained using ROC curve analysis). Using an appropriate threshold (value > or =3.2%), %VLFI demonstrated a sensitivity of 78.1% and a specificity of 70.4%. These thresholds applied to group 2 yielded a sensitivity of 73.9% and a specificity of 76.6%. Frequency-domain analysis of the HRI appears to be a powerful tool for OSAHS prediction. The simplicity of its analysis and use makes of it a particularly well-suited variable for routine mass screening in high-risk populations undergoing ECG Holter monitoring.

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Year:  2004        PMID: 14992679     DOI: 10.1042/CS20040036

Source DB:  PubMed          Journal:  Clin Sci (Lond)        ISSN: 0143-5221            Impact factor:   6.124


  6 in total

1.  Sleep-related autonomic overactivity in a general elderly population and its relationship to cardiovascular regulation.

Authors:  Emilie Crawford-Achour; Frédéric Roche; Vincent Pichot; Sébastien Celle; Jean-Claude Barthélémy; Florian Chouchou
Journal:  Heart Vessels       Date:  2014-08-24       Impact factor: 2.037

2.  Use of high-frequency peak in spectral analysis of heart rate increment to improve screening of obstructive sleep apnoea.

Authors:  Laurent Poupard; Isabelle Court-Fortune; Vincent Pichot; Florian Chouchou; Jean-Claude Barthélémy; Frédéric Roche
Journal:  Sleep Breath       Date:  2010-11-21       Impact factor: 2.816

3.  Multi-modal ECG Holter system for sleep-disordered breathing screening: a validation study.

Authors:  Laurent Poupard; Marc Mathieu; Michael Goldman; Florian Chouchou; Frédéric Roche
Journal:  Sleep Breath       Date:  2011-07-26       Impact factor: 2.816

4.  Detection of sleep apnea-hypopnea syndrome with ECG derived respiration in Chinese population.

Authors:  Guang-Ming Tong; Hai-Cheng Zhang; Ji-Hong Guo; Fang Han
Journal:  Int J Clin Exp Med       Date:  2014-05-15

5.  Sleep apnea-hypopnea quantification by cardiovascular data analysis.

Authors:  Sabrina Camargo; Maik Riedl; Celia Anteneodo; Jürgen Kurths; Thomas Penzel; Niels Wessel
Journal:  PLoS One       Date:  2014-09-15       Impact factor: 3.240

6.  Sleep-wake stages classification using heart rate signals from pulse oximetry.

Authors:  Ramiro Casal; Leandro E Di Persia; Gastón Schlotthauer
Journal:  Heliyon       Date:  2019-10-02
  6 in total

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