Please use this identifier to cite or link to this item: doi:10.22028/D291-40578
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Title: The association between different features of sleep-disordered breathing and blood pressure: A cross-sectional study
Author(s): Khoshkish, Shayan
Hohl, Mathias
Linz, Benedikt
Arzt, Michael
Mahfoud, Felix
Baumert, Mathias
Schöpe, Jakob
Böhm, Michael
Linz, Dominik
Language: English
Title: Journal of clinical hypertension
Volume: 20
Issue: 3
Pages: 575–581
Publisher/Platform: Wiley
Year of Publication: 2018
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: Sleep disordered breathing (SDB) is highly prevalent in patients with high blood pressure (BP). Severity of SDB can be evaluated by the number of apneas and hypopneas per hour (AHI) or by measures of hypoxia. The objective of this study was to assess the association between different measures of SDB and BP. In 134 consecutive patients, polygraphy was performed to determine the AHI. Pulse oximetry was used to determine hypoxemic burden (time below 90% oxygen saturation [T90] and hypoxia load [HL], representing the integrated area above the curve of desaturation). AHI did not correlate with systolic and diastolic BP or pulse pressure. In contrast, HL correlated with pulse pressure during the day (P = .01) and night (P = .0034) before and after adjustment for body mass index. The correlation between systolic BP and HL at night disappeared following adjustment for body mass index. This study generates the hypothesis that nocturnal hypoxemic burden may represent a suitable marker of BP pattern and a potential treatment target in hypertensive patients.
DOI of the first publication: 10.1111/jch.13202
URL of the first publication: https://onlinelibrary.wiley.com/doi/epdf/10.1111/jch.13202
Link to this record: urn:nbn:de:bsz:291--ds-405781
hdl:20.500.11880/36455
http://dx.doi.org/10.22028/D291-40578
ISSN: 1524-6175
1751-7176
Date of registration: 22-Sep-2023
Faculty: M - Medizinische Fakultät
Department: M - Innere Medizin
M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Prof. Dr. Michael Böhm
M - Keiner Professur zugeordnet
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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