Can cardiorespiratory polygraphy replace portable polysomnography in the assessment of sleep-disordered breathing in heart failure patients?
Autor: | Elena Robbi, Maria Teresa La Rovere, Gian Domenico Pinna, Anna Eugenia Taurino, Roberto Maestri, Caterina Pronzato, Fabio Pizza |
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Přispěvatelé: | Pinna, G.D., Robbi, E., Pizza, F., Taurino, A.E., Pronzato, C., La Rovere, M.T., Maestri, R. |
Rok vydání: | 2013 |
Předmět: |
Adult
Male Percentile Point-of-Care Systems Polysomnography Predictive Value of Test Cheyne–Stokes respiration Predictive Value of Tests mental disorders medicine Humans Sleep study Aged Heart Failure Sleep Apnea Obstructive medicine.diagnostic_test business.industry Apnea Cardiorespiratory fitness Middle Aged medicine.disease Sleep Apnea Central nervous system diseases respiratory tract diseases Otorhinolaryngology Anesthesia Heart failure Female Neurology (clinical) medicine.symptom business Hypopnea Human |
Zdroj: | Sleepbreathing = SchlafAtmung. 18(3) |
ISSN: | 1522-1709 |
Popis: | Portable polysomnography (PSG) and cardiorespiratory polygraphy are increasingly being used in the assessment of sleep-disordered breathing (SDB) in heart failure patients. Scoring of SDB from cardiorespiratory polygraphy recordings is based only on respiratory signals, while electroencephalographic, electrooculographic and electromyographic channels are taken into account when using PSG recordings. The aim of this study was to assess the agreement between these two scoring methods. An overnight sleep study was performed in 67 heart failure patients using a standard portable polysomnograph. Each recording was scored twice, once using all acquired signals (PSG mode) and, after a median of 64 days, using only respiratory signals (cardiorespiratory mode). Agreement was assessed by Bland–Altman analysis and Cohen’s kappa. We found that (1) more respiratory events were detected using cardiorespiratory analysis [median (25th percentile, 75th percentile), 75 (39, 200) events] compared to analysis of portable PSG [69 (29, 173) events, p |
Databáze: | OpenAIRE |
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