Polysomnographic characterization of circadian blood pressure patterns in patients with obstructive sleep apnea

Author:

Pinilla Lucía12,Benítez Iván D23ORCID,Gracia-Lavedan Esther23,Torres Gerard23,Minguez Olga3,Aguilà Maria3,Targa Adriano23ORCID,Dalmases Mireia23,Mediano Olga24ORCID,Masa Juan F25,Masdeu Maria J6,Barbé Ferran23,Sánchez-de-la-Torre Manuel12ORCID

Affiliation:

1. Group of Precision Medicine in Chronic Diseases, University Hospital Arnau de Vilanova and Santa María; Department of Nursing and Physiotherapy, Faculty of Nursing and Physiotherapy, University of Lleida; Institut de Recerca Biomèdica de Lleida (IRBLleida) , Lleida , Spain

2. Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (CIBERES), Instituto de Salud Carlos III (ISCIII) , Madrid , Spain

3. Group of Translational Research in Respiratory Medicine, Respiratory Department, University Hospital Arnau de Vilanova and Santa María; IRBLleida , Lleida , Spain

4. Pneumology Department, University Hospital of Guadalajara , Guadalajara , Spain

5. San Pedro de Alcántara Hospital, Instituto Universitario de Investigación Biosanitaria de Extremadura , Cáceres , Spain

6. Respiratory and Sleep Department, Parc Taulí University Hospital, Parc Taulí Research and Innovation Institute, Autonomous University of Barcelona , Sabadell , Spain

Abstract

AbstractWe characterized the polysomnography (PSG) parameters associated with alterations in the circadian blood pressure (BP) pattern aiming to identify the main contributors to explain the nondipper profile in obstructive sleep apnea (OSA). This is an observational prospective-multicenter study that included participants referred to the sleep unit for suspected OSA. Following a PSG study, subjects with an apnea–hypopnea index (AHI) ≥5 events/hr were included. Two groups were established based on the 24-hr ambulatory blood pressure monitoring dipping ratio (DR; night/day BP ratio): dippers (DR ≤ 0.9) and nondippers (DR > 0.9). The cohort consisted of 299 patients: 131 (43.8%) dippers and 168 (56.2%) nondippers. A significant increase in the risk of presenting a nondipper BP pattern was found along with AHI gain [odds ratio (OR) (95% CI) = 1.71 (1.28 to 2.28)]. The best AHI cutoff for predicting nondipper status was 25.2 events/hr, increasing the OR (95% CI) to 3.50 (2.02 to 6.07). The hypopnea index [OR (95% CI) = 1.70 (1.27 to 2.26)], TSat90 [OR (95% CI) = 1.41 (1.06 to 1.87)], and respiratory arousal index [OR (95% CI) = 1.74 (1.30 to 2.34)] were individually associated with the risk of a nondipping pattern. Multivariate variable selection processes identified the respiratory arousal index as the most relevant risk factor for the nondipper profile, beyond classical clinical risk factors and usual PSG metrics.

Funder

Instituto de Salud Carlos III

Publisher

Oxford University Press (OUP)

Subject

Physiology (medical),Neurology (clinical)

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