{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T10:46:47Z","timestamp":1761562007309},"reference-count":41,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2015,7,22]],"date-time":"2015-07-22T00:00:00Z","timestamp":1437523200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"name":"Societat Catalana d\u2032Hipertensi\u00f3 Arterial (SCHTA), Barcelona"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J of Clinical Hypertension"],"published-print":{"date-parts":[[2015,10]]},"abstract":"<jats:p>Obstructive sleep apnea (<jats:styled-content style=\"fixed-case\">OSA<\/jats:styled-content>) 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 (<jats:styled-content style=\"fixed-case\">BP<\/jats:styled-content>) monitoring (<jats:styled-content style=\"fixed-case\">ABPM<\/jats:styled-content>), anthropometric, sociodemographic, and biological variables to identify moderate to severe <jats:styled-content style=\"fixed-case\">OSA<\/jats:styled-content>. A total of 105 <jats:styled-content style=\"fixed-case\">ABPM<\/jats:styled-content>\u2010confirmed hypertensive patients were evaluated using their clinical histories, blood analyses, <jats:styled-content style=\"fixed-case\">ABPM<\/jats:styled-content>, 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 \u226530\u00a0kg\/m<jats:sup>2<\/jats:sup> and abdominal obesity), mean daytime <jats:styled-content style=\"fixed-case\">BP<\/jats:styled-content>, mean nocturnal heart rate, and minimal diastolic nighttime <jats:styled-content style=\"fixed-case\">BP<\/jats:styled-content> 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\u2010hypopnea index \u226515. Therefore, in untreated hypertensive patients who snored, <jats:styled-content style=\"fixed-case\">ABPM<\/jats:styled-content> variables might be used to identify patients at risk for <jats:styled-content style=\"fixed-case\">OSA<\/jats:styled-content>.<\/jats:p>","DOI":"10.1111\/jch.12619","type":"journal-article","created":{"date-parts":[[2015,7,22]],"date-time":"2015-07-22T12:13:00Z","timestamp":1437567180000},"page":"802-809","source":"Crossref","is-referenced-by-count":11,"title":["Use of Ambulatory Blood Pressure Monitoring for the Screening of Obstructive Sleep Apnea"],"prefix":"10.1111","volume":"17","author":[{"given":"Gerard","family":"Torres","sequence":"first","affiliation":[{"name":"Cardiovascular Risk Unit Santa Maria Hospital Lleida Spain"},{"name":"Centro de Investigaci\u00f3n Biom\u00e9dica en Red de Enfermedades Respiratorias (CIBERES) Madrid 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