Prevalence of sleep-disordered breathing in a 316-patient French cohort of stable congestive heart failure

Paulino, Alexandra; Damy, Thibaud; Margarit, Laurent; Stoïca, Maria; Deswarte, Guillaume; Khouri, Latifa; Vermès, Emmanuelle; Meizels, Anouk; Hittinger, Luc; d’Ortho, Marie-Pia

doi:10.1016/j.acvd.2008.12.006

Cited by 81 publications

(70 citation statements)

References 26 publications

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“…The prevalence of SDB (AHI ≥ 15/h) was 44%, which is comparable to that reported in previous studies 1, 2, 3, 4. SM/PSG signals from 80 patients were successfully collected.…”

Section: Discussionsupporting

confidence: 84%

Development and validation of a novel non‐contact monitor of nocturnal respiration for identifying sleep‐disordered breathing in patients with heart failure

et al. 2016

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AimsAt least 50% of patients with heart failure (HF) may have sleep‐disordered breathing (SDB). Overnight in‐hospital polysomnography (PSG) is considered the gold standard for diagnosis, but a lack of access to such testing contributes to under‐diagnosis of SDB. Therefore, there is a need for simple and reliable validated methods to aid diagnosis in patients with HF. The aim of this study was to investigate the accuracy of a non‐contact type IV screening device, SleepMinderTM (SM), compared with in‐hospital PSG for detecting SDB in patients with HF.Methods and resultsThe study included 75 adult patients with systolic HF and suspected SDB who underwent simultaneous PSG and SM recordings. An algorithm was developed from the SM signals, using digital signal processing and pattern recognition techniques to calculate the SM apnoea‐hypopnoea index (AHI). This was then compared with expert‐scored PSGAHI. The SM algorithm had 70% sensitivity and 89% specificity for identifying patients with clinically significant SDB (AHI ≥ 15/h). At this threshold, it had a positive likelihood ratio of 6.3 and a negative likelihood ratio of 0.16. The overall accuracy of the SMAHI algorithm was 85.8% as shown by the area under a receiver operator characteristic curve. The mean AHI with SM was 3.8/h (95% confidence interval 0.5–7.1) lower than that with PSG.ConclusionsThe accuracy of the non‐contact type IV screening device SM is good for clinically significant SDB in patients with systolic HF and could be considered as a simple first step in the diagnostic pathway.

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“…The prevalence of SDB (AHI ≥ 15/h) was 44%, which is comparable to that reported in previous studies 1, 2, 3, 4. SM/PSG signals from 80 patients were successfully collected.…”

Section: Discussionsupporting

confidence: 84%

Development and validation of a novel non‐contact monitor of nocturnal respiration for identifying sleep‐disordered breathing in patients with heart failure

et al. 2016

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“…Most studies recruited outpatients from heart failure clinics, but some included hospitalized patients and the severity of heart failure, assessed either by echocardiography or clinically, varied widely. The apnea-hypopnea index (AHI) that defined sleep apnea ranged from 15 to 5 cycles per hour and, accordingly, the prevalence varied from 47 to 82% and from 21 to 66% for sleep-disordered breathing and CSR in patients with CHF, respectively [2,3,11,12,13,14,15,16,17,18,19,20,21] (fig. 2).…”

Section: Prevalence and Importance Of Chf And Csrmentioning

confidence: 99%

Cheyne-Stokes Respiration in Patients with Heart Failure: Prevalence, Causes, Consequences and Treatments

Brack¹,

Randerath

Bloch

2011

Respiration

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Cheyne-Stokes respiration (CSR) is characterized by a pattern of cyclic oscillations of tidal volume and respiratory rate with periods of hyperpnea alternating with hypopnea or apnea in patients with heart failure. CSR harms the failing heart through intermittent hypoxia brought about by apnea and hypopnea and recurrent sympathetic surges. CSR impairs the quality of life and increases cardiac mortality in patients with heart failure. Thus, CSR should actively be pursued in patients with severe heart failure. When CSR persists despite optimal therapy of heart failure, noninvasive adaptive servoventilation is currently the most promising treatment.

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“…Also, Ferrier et al measured urinary catecholamines, and NT-BNP in 87 HF patients with left ventricular ejection fraction (LVEF<45%) and reported a significant increase in norepinephrine (NE) (P=0.013) and (NT-pro BNP) (P=0.001 * ) among HF with SDB [7]. Another study by Paulino et al who evaluated the prevalence of sleep apnea and measured plasma concentration level of BNP among 316 French patients with stable heart failure and demonstrated a significant increase in plasma concentration level of BNP in OSA patients as compared with CSA and No-SDB (501 ± 244 vs. 406 ± 50 pg/ml in CSA) and (501 ± 244 vs. 205 ± 44 pg/ml in CSA) [8].…”

Section: Discussionmentioning

confidence: 99%

Assessment of Human Natriuretic Peptides (B), Human N-Terminal Pro-BNP and Nor-epinephrine as Neurohumoral Markers in Sleep Disordered Breathing among Heart Failure Patients in Upper Egypt

Salama¹,

Omar²,

Sabour³

et al. 2017

J Clin Trials

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Prevalence of sleep-disordered breathing in a 316-patient French cohort of stable congestive heart failure

Abstract: The prevalence of sleep-disordered breathing was high in a French heart failure population, with most syndromes having an obstructive pattern. Prevalence and severity were higher in men than in women.

Cited by 81 publications

References 26 publications

Development and validation of a novel non‐contact monitor of nocturnal respiration for identifying sleep‐disordered breathing in patients with heart failure

Development and validation of a novel non‐contact monitor of nocturnal respiration for identifying sleep‐disordered breathing in patients with heart failure

Cheyne-Stokes Respiration in Patients with Heart Failure: Prevalence, Causes, Consequences and Treatments

Assessment of Human Natriuretic Peptides (B), Human N-Terminal Pro-BNP and Nor-epinephrine as Neurohumoral Markers in Sleep Disordered Breathing among Heart Failure Patients in Upper Egypt

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