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07.09.2017 | Sleep Breathing Physiology and Disorders • Original Article

Ambulatory screening tool for sleep apnea: analyzing a single-lead electrocardiogram signal (ECG)

verfasst von: Solveig Magnusdottir, Hugi Hilmisson

Erschienen in: Sleep and Breathing | Ausgabe 2/2018

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Abstract

Study objective

The goal was to determine the utility and accuracy of automated analysis of single-lead electrocardiogram (ECG) data using two algorithms, cardiopulmonary coupling (CPC), and cyclic variation of heart rate (CVHR) to identify sleep apnea (SA).

Methods

The CPC-CVHR algorithms were applied to identify SA by analyzing ECG from diagnostic polysomnography (PSG) from 47 subjects. The studies were rescored according to updated AASM scoring rules, both manually by a certified technologist and using an FDA-approved automated scoring software, Somnolyzer (Philips Inc., Monroeville, PA). The CPC+CVHR output of Sleep Quality Index (SQI), Sleep Apnea Indicator (SAI), elevated low frequency coupling broadband (eLFC_BB) and elevated low frequency coupling narrow-band (eLFC_NB) were compared to the manual and automated scoring of apnea hypopnea index (AHI).

Results

A high degree of agreement was noted between the CPC-CVHR against both the manually rescored AHI and the computerized scored AHI to identify patients with moderate and severe sleep apnea (AHI > 15). The combined CPC+CVHR algorithms, when compared to the manually scored PSG output presents sensitivity 89%, specificity 79%, agreement 85%, PPV (positive predictive value) 0.86 and NPV (negative predictive value) 0.83, and substantial Kappa 0.70. Comparing the output of the automated scoring software to the manual scoring demonstrated sensitivity 93%, specificity 79%, agreement 87%, PPV 0.87, NPV 0.88, and substantial Kappa 0.74.

Conclusion

The CPC+CVHR technology performed as accurately as the automated scoring software to identify patients with moderate to severe SA, demonstrating a clinically powerful tool that can be implemented in various clinical settings to identify patients at risk for SA.

Trial registration

NCT01234077.

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Titel: Ambulatory screening tool for sleep apnea: analyzing a single-lead electrocardiogram signal (ECG)
verfasst von: Solveig Magnusdottir
Hugi Hilmisson
Publikationsdatum: 07.09.2017
Verlag: Springer International Publishing
Erschienen in: Sleep and Breathing / Ausgabe 2/2018
Print ISSN: 1520-9512
Elektronische ISSN: 1522-1709
DOI: https://doi.org/10.1007/s11325-017-1566-6

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Ambulatory screening tool for sleep apnea: analyzing a single-lead electrocardiogram signal (ECG)

Abstract

Study objective

Methods

Results

Conclusion

Trial registration

Leitlinien kompakt für die Innere Medizin

Neu im Fachgebiet Innere Medizin

Parodontalbehandlung verbessert Prognose bei Katheterablation

Prostatakarzinom: EU initiiert neues Screeningkonzept

Blasenkarzinom – Biomarker statt Zytologie?

Antihypertensiva schützen auch alte Menschen noch vor Demenz

Update Innere Medizin

Live-Webinar: Aktuelle Leitlinien bei Herz-Kreislauf-Erkrankungen

Springer Medizin

Abstract

Study objective

Methods

Results

Conclusion

Trial registration

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