ArticleJournal of clinical hypertension (Greenwich, Conn.)2015
Use of Ambulatory Blood Pressure Monitoring for the Screening of Obstructive Sleep Apnea.
Article in Journal of clinical hypertension (Greenwich, Conn.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 16 citations in OpenAlex.
- Classification of blood pressure during sleep impacts designation of nocturnal nondipping.PLOS digital health · 2023Article
- [A study to identify obstructive sleep apnea syndrome based on 24 h ambulatory blood pressure data].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022Article
- Obstructive sleep apnea and ambulatory blood pressure monitoring: current evidence and research gaps.Journal of human hypertension · 2021Review
- Demographic, clinical, and biomarker predictors of apnea-hypopnea index from polysomnography in Midwestern sleep clinic patients.Sleep & breathing = Schlaf & Atmung · 2021Article
- Effect of Maternal Obstructive Sleep Apnea-Hypopnea on 24-Hour Blood Pressure, Nocturnal Blood Pressure Dipping and Arterial Stiffness in Hypertensive Disorders of Pregnancy.Frontiers in physiology · 2021Article
- Ambulatory blood pressure monitoring in clinical practice.Indian heart journalReview
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Obstructive sleep apnea (OSA) is a frequent and underdiagnosed disease in hypertensive individuals who experience cardiovascular events. The aim of this study was to define the best model that combined the ambulatory blood pressure (BP) monitoring (ABPM), anthropometric, sociodemographic, and biological variables to identify moderate to severe OSA. A total of 105 ABPM-confirmed hypertensive patients were evaluated using their clinical histories, blood analyses, ABPM, and home respiratory polygraphic results. A multivariate logistic regression analysis was performed to identify the significant variables. The best model included sex, presence of obesity (body mass index ≥30 kg/m(2) and abdominal obesity), mean daytime BP, mean nocturnal heart rate, and minimal diastolic nighttime BP to achieve an area under the curve of 0.804. Based on this model, a validated scoring system was developed to identify the patients with an apnea-hypopnea index ≥15. Therefore, in untreated hypertensive patients who snored, ABPM variables might be used to identify patients at risk for OSA.
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