These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Heart rate increment: an electrocardiological approach for the early detection of obstructive sleep apnoea/hypopnoea syndrome.
    Author: Roche F, Sforza E, Duverney D, Borderies JR, Pichot V, Bigaignon O, Ascher G, Barthélémy JC.
    Journal: Clin Sci (Lond); 2004 Jul; 107(1):105-10. PubMed ID: 14992679.
    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.
    [Abstract] [Full Text] [Related] [New Search]