Use of Ambulatory Blood Pressure Monitoring for the Screening of Obstructive Sleep Apnea
| Autor: | Jacint Cabau, Manuel Sánchez-de-la-Torre, Sílvia Gómez, Montserrat Martínez-Alonso, Óscar Martínez Sacristán, Gerard Torres, Ferran Barbé |
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| Rok vydání: | 2015 |
| Předmět: |
Adult
Male medicine.medical_specialty Ambulatory blood pressure Cross-sectional study Endocrinology Diabetes and Metabolism Logistic regression Body Mass Index Risk Factors Internal medicine Heart rate Prevalence Internal Medicine Humans Medicine Abdominal obesity Sleep Apnea Obstructive Anthropometry business.industry Snoring Sleep apnea Blood Pressure Monitoring Ambulatory Middle Aged medicine.disease Original Papers respiratory tract diseases Obstructive sleep apnea Cross-Sectional Studies Spain Hypertension Physical therapy Cardiology Female medicine.symptom Cardiology and Cardiovascular Medicine business Body mass index |
| Zdroj: | J Clin Hypertens (Greenwich) |
| ISSN: | 1524-6175 |
| DOI: | 10.1111/jch.12619 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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