Prospective evaluation of a Holter-ECG derived severity index for screening of sleep disordered breathing
BACKGROUND AND PURPOSE: To prospectively evaluate the applicability of a method to screen overnight Holter-ECGs for sleep disordered breathing (SDB) in an unselected clinical routine Holter sample. METHODS: Holter-ECG recordings in 50 cardiologic inpatients were complemented with nocturnal respirato...
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| Main Authors: | , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
4 August 2016
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| In: |
Journal of electrocardiology
Year: 2016, Volume: 49, Issue: 6, Pages: 919-924 |
| ISSN: | 1532-8430 |
| Online Access: |
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| Author Notes: | Christoph Maier, PhD, Jörg Friedrich, MD, Hugo Katus, MD, Hartmut Dickhaus, PhD |
| Summary: | BACKGROUND AND PURPOSE: To prospectively evaluate the applicability of a method to screen overnight Holter-ECGs for sleep disordered breathing (SDB) in an unselected clinical routine Holter sample. METHODS: Holter-ECG recordings in 50 cardiologic inpatients were complemented with nocturnal respiratory polygraphy (PG). The respiratory event index (REI) and apnea/hypopnea index (AHI) from the PG served as a reference for an ECG-derived SDB severity estimate using a previously developed method. Agreement with the PG was investigated using Bland-Altman plots color-coded by ectopy level, and screening accuracy for REI≥15/h and AHI≥15/h was assessed. RESULTS: Prevalence for REI≥15/h was 52%, and 32% for AHI≥15/h. We observed better agreement of the ECG-based estimate with the REI compared to the AHI. Ectopy did not limit the detection of SDB. Binary screening for REI≥15/h provided excellent specificity of 0.96 with a sensitivity of 0.77. Ternary screening for AHI≥15/h yielded 16% borderline classifications and specificity/sensitivity of 0.96/0.86 for the remaining data. CONCLUSIONS: Screening of routine Holter-ECGs for sleep disordered breathing is reasonable and promises earlier identification of a significant part of patients at no additional cost. |
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| Item Description: | Gesehen am 21.11.2017 |
| Physical Description: | Online Resource |
| ISSN: | 1532-8430 |