The Performance of Two Automatic Servo-Ventilation Devices in the Treatment of Central Sleep Apnea
Open accessAbstract
INTRODUCTION: This study was conducted to evaluate the therapeutic performance of a new auto Servo Ventilation device (Philips Respironics autoSV Advanced) for the treatment of complex central sleep apnea (CompSA). The features of autoSV Advanced include an automatic expiratory pressure (EPAP) adjustment, an advanced algorithm for distinguishing open versus obstructed airway apnea, a modified auto backup rate which is proportional to subject's baseline breathing rate, and a variable inspiratory support. Our primary aim was to compare the performance of the advanced servo-ventilator (BiPAP autoSV Advanced) with conventional servo-ventilator (BiPAP autoSV) in treating central sleep apnea (CSA). STUDY DESIGN: A prospective, multicenter, randomized, controlled trial. SETTING: Five sleep laboratories in the United States. PARTICIPANTS: Thirty-seven participants were included. MEASUREMENTS AND RESULTS: All subjects had full night polysomnography (PSG) followed by a second night continuous positive airway pressure (CPAP) titration. All had a central apnea index ≥ 5 per hour of sleep on CPAP. Subjects were randomly assigned to 2 full-night PSGs while treated with either the previously marketed autoSV, or the new autoSV Advanced device. The 2 randomized sleep studies were blindly scored centrally. Across the 4 nights (PSG, CPAP, autoSV, and autoSV Advanced), the mean ± 1 SD apnea hypopnea indices were 53 ± 23, 35 ± 20, 10 ± 10, and 6 ± 6, respectively; indices for CSA were 16 ± 19, 19 ± 18, 3 ± 4, and 0.6 ± 1. AutoSV Advanced was more effective than other modes in correcting sleep related breathing disorders. CONCLUSIONS: BiPAP autoSV Advanced was more effective than conventional BiPAP autoSV in the treatment of sleep disordered breathing in patients with CSA.
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Javaheri et al. compared two ASV devices available in 2011 in a mixed TECSA population and found greater AHI improvement with the BiPAP-Auto-advanced device.
“Javaheri et al. compared two ASV devices available in 2011 (BiPAP-AutoSV advanced and BiPAP-AutoSV) in a mixed population of TECSA patients and found greater improvement in the AHI with the BiPAP-Auto-advanced device.1183”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [1183]
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- Authors
- Javaheri, S., Goetting, M. G., Khayat, R., Wylie, P. E., Goodwin, J. L., & Parthasarathy, S.
- Affiliations
- University of Cincinnati (US)
- Michigan State University (US)
- The Ohio State University (US)
- University of Arizona (US)
- Corresponding author
- Javaheri, Shahrokh
- Venue
- Sleep
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-12
- Volume
- 34
- Issue
- 12
- Pages
- 1693-1698
- ISSN
- 0161-8105 (ISSN-L)
- 1550-9109
- PMC
- PMC3208847
- OpenAlex
- W2071221977
- Semantic Scholar
- 87508cc5d605f7188e737b94af73957216eae2e9
- Cited by
- 71
- References
- 28
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 5 · 2022: 6 · 2021: 2 · 2020: 9 · 2019: 2 · 2018: 4 · 2017: 3 · 2016: 4 · 2015: 7 · 2014: 13 · 2013: 8 · 2012: 5
- FWCI
- 5.89
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- SLEEP (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Obstructive Sleep Apnea Research
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Respiratory Support and Mechanisms
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Neuroscience of respiration and sleep
- Keywords
- central sleep apnea, bilevel positive airway pressure, apnea-hypopnea index, sleep-disordered breathing, CPAP titration, polysomnography
- MeSH terms
- Female, Humans, Male, Middle Aged, Positive-Pressure Respiration, Polysomnography, Sleep Apnea, Central, Continuous Positive Airway Pressure, Exhalation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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