The Importance of Sleep Fragmentation on the Hemodynamic Dipping in Obstructive Sleep Apnea Patients

IntroductionObstructive sleep apnea (OSA) has been associated with non-dipping blood pressure (BP). The precise mechanism is still under investigation, but repetitive oxygen desaturation and arousal induced sleep fragmentation are considered the main contributors.MethodsWe analyzed beat-to-beat meas...

Full description

Bibliographic Details
Main Authors: Richard Staats, Inês Barros, Dina Fernandes, Dina Grencho, Cátia Reis, Filipa Matos, João Valença, João Marôco, António Bugalho de Almeida, Cristina Bárbara
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-03-01
Series:Frontiers in Physiology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fphys.2020.00104/full
_version_ 1817983106998599680
author Richard Staats
Richard Staats
Inês Barros
Dina Fernandes
Dina Grencho
Cátia Reis
Cátia Reis
Filipa Matos
João Valença
João Valença
João Marôco
António Bugalho de Almeida
Cristina Bárbara
Cristina Bárbara
author_facet Richard Staats
Richard Staats
Inês Barros
Dina Fernandes
Dina Grencho
Cátia Reis
Cátia Reis
Filipa Matos
João Valença
João Valença
João Marôco
António Bugalho de Almeida
Cristina Bárbara
Cristina Bárbara
author_sort Richard Staats
collection DOAJ
description IntroductionObstructive sleep apnea (OSA) has been associated with non-dipping blood pressure (BP). The precise mechanism is still under investigation, but repetitive oxygen desaturation and arousal induced sleep fragmentation are considered the main contributors.MethodsWe analyzed beat-to-beat measurements of hemodynamic parameters (HPs) during a 25-min period of wake–sleep transition. Differences in the mean HP values for heart rate (HR), systolic BP (SBP), and stroke volume (SV) during wake and sleep and their standard deviations (SDs) were compared between 34 controls (C) and 22 OSA patients. The Student’s t-test for independent samples and the effect size by Cohen’s d (d) were calculated. HP evolution was investigated by plotting the measured HP values against each consecutive pulse wave. After a simple regression analysis, the calculated coefficient beta (SCB) was used to indicate the HP evolution. We furthermore explored by a hierarchical block regression which variables increased the prediction for the SCB: model 1 BMI and age, model 2 + apnea/hypopnea index (AHI), and model 3 + arousal index (AI).ResultsBetween the two groups, the SBP increased in OSA and decreased in C resulting in a significant difference (p = 0.001; d = 0.92). The SV demonstrated a similar development (p = 0.047; d = 0.56). The wake/sleep variation of the HP measured by the SD was higher in the OSA group—HR: p < 0.001; d = 1.2; SBP: p = 0.001; d = 0.94; and SV: p = 0.005; d = 0.82. The hierarchical regression analysis of the SCB demonstrated in SBP that the addition of AI to AHI resulted in ΔR2: +0.163 and ΔF + 13.257 (p = 0.001) and for SV ΔR2: +0.07 and ΔF 4.83 (p = 0.003). The AI but not the AHI remained statistically significant in the regression analysis model 3—SBP: β = 0.717, p = 0.001; SV: β = 0.469, p = 0.033.ConclusionIn this study, we demonstrated that in OSA, the physiological dipping in SBP and SV decreased, and the variation of all investigated parameters increased. Hierarchical regression analysis indicates that the addition of the AI to BMI, age, and AHI increases the prediction of the HP evolution following sleep onset for both SBP and SV and may be the most important variable.
first_indexed 2024-04-13T23:29:24Z
format Article
id doaj.art-048ddbbd35cd4bf59550c9d8329d6954
institution Directory Open Access Journal
issn 1664-042X
language English
last_indexed 2024-04-13T23:29:24Z
publishDate 2020-03-01
publisher Frontiers Media S.A.
record_format Article
series Frontiers in Physiology
spelling doaj.art-048ddbbd35cd4bf59550c9d8329d69542022-12-22T02:24:57ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2020-03-011110.3389/fphys.2020.00104503599The Importance of Sleep Fragmentation on the Hemodynamic Dipping in Obstructive Sleep Apnea PatientsRichard Staats0Richard Staats1Inês Barros2Dina Fernandes3Dina Grencho4Cátia Reis5Cátia Reis6Filipa Matos7João Valença8João Valença9João Marôco10António Bugalho de Almeida11Cristina Bárbara12Cristina Bárbara13Departamento do Tórax, Centro Hospitalar Universitário Lisboa Norte, Lisbon, PortugalInstituto de Saúde Ambiental (ISAMB), Faculdade de Medicina, Universidade de Lisboa, Lisbon, PortugalDepartamento do Tórax, Centro Hospitalar Universitário Lisboa Norte, Lisbon, PortugalDepartamento do Tórax, Centro Hospitalar Universitário Lisboa Norte, Lisbon, PortugalDepartamento do Tórax, Centro Hospitalar Universitário Lisboa Norte, Lisbon, PortugalInstituto de Saúde Ambiental (ISAMB), Faculdade de Medicina, Universidade de Lisboa, Lisbon, PortugalCENC - Sleep Medicine Center, Lisbon, PortugalDepartamento do Tórax, Centro Hospitalar Universitário Lisboa Norte, Lisbon, PortugalDepartamento do Tórax, Centro Hospitalar Universitário Lisboa Norte, Lisbon, PortugalFaculdade de Medicina, Universidade de Lisboa, Lisbon, PortugalWilliam James Centre for Research, ISPA-IU, Lisbon, PortugalFaculdade de Medicina, Universidade de Lisboa, Lisbon, PortugalDepartamento do Tórax, Centro Hospitalar Universitário Lisboa Norte, Lisbon, PortugalInstituto de Saúde Ambiental (ISAMB), Faculdade de Medicina, Universidade de Lisboa, Lisbon, PortugalIntroductionObstructive sleep apnea (OSA) has been associated with non-dipping blood pressure (BP). The precise mechanism is still under investigation, but repetitive oxygen desaturation and arousal induced sleep fragmentation are considered the main contributors.MethodsWe analyzed beat-to-beat measurements of hemodynamic parameters (HPs) during a 25-min period of wake–sleep transition. Differences in the mean HP values for heart rate (HR), systolic BP (SBP), and stroke volume (SV) during wake and sleep and their standard deviations (SDs) were compared between 34 controls (C) and 22 OSA patients. The Student’s t-test for independent samples and the effect size by Cohen’s d (d) were calculated. HP evolution was investigated by plotting the measured HP values against each consecutive pulse wave. After a simple regression analysis, the calculated coefficient beta (SCB) was used to indicate the HP evolution. We furthermore explored by a hierarchical block regression which variables increased the prediction for the SCB: model 1 BMI and age, model 2 + apnea/hypopnea index (AHI), and model 3 + arousal index (AI).ResultsBetween the two groups, the SBP increased in OSA and decreased in C resulting in a significant difference (p = 0.001; d = 0.92). The SV demonstrated a similar development (p = 0.047; d = 0.56). The wake/sleep variation of the HP measured by the SD was higher in the OSA group—HR: p < 0.001; d = 1.2; SBP: p = 0.001; d = 0.94; and SV: p = 0.005; d = 0.82. The hierarchical regression analysis of the SCB demonstrated in SBP that the addition of AI to AHI resulted in ΔR2: +0.163 and ΔF + 13.257 (p = 0.001) and for SV ΔR2: +0.07 and ΔF 4.83 (p = 0.003). The AI but not the AHI remained statistically significant in the regression analysis model 3—SBP: β = 0.717, p = 0.001; SV: β = 0.469, p = 0.033.ConclusionIn this study, we demonstrated that in OSA, the physiological dipping in SBP and SV decreased, and the variation of all investigated parameters increased. Hierarchical regression analysis indicates that the addition of the AI to BMI, age, and AHI increases the prediction of the HP evolution following sleep onset for both SBP and SV and may be the most important variable.https://www.frontiersin.org/article/10.3389/fphys.2020.00104/fullsleep disordered breathingcardiovascular risksleep disturbancearterial blood pressurestroke volume
spellingShingle Richard Staats
Richard Staats
Inês Barros
Dina Fernandes
Dina Grencho
Cátia Reis
Cátia Reis
Filipa Matos
João Valença
João Valença
João Marôco
António Bugalho de Almeida
Cristina Bárbara
Cristina Bárbara
The Importance of Sleep Fragmentation on the Hemodynamic Dipping in Obstructive Sleep Apnea Patients
Frontiers in Physiology
sleep disordered breathing
cardiovascular risk
sleep disturbance
arterial blood pressure
stroke volume
title The Importance of Sleep Fragmentation on the Hemodynamic Dipping in Obstructive Sleep Apnea Patients
title_full The Importance of Sleep Fragmentation on the Hemodynamic Dipping in Obstructive Sleep Apnea Patients
title_fullStr The Importance of Sleep Fragmentation on the Hemodynamic Dipping in Obstructive Sleep Apnea Patients
title_full_unstemmed The Importance of Sleep Fragmentation on the Hemodynamic Dipping in Obstructive Sleep Apnea Patients
title_short The Importance of Sleep Fragmentation on the Hemodynamic Dipping in Obstructive Sleep Apnea Patients
title_sort importance of sleep fragmentation on the hemodynamic dipping in obstructive sleep apnea patients
topic sleep disordered breathing
cardiovascular risk
sleep disturbance
arterial blood pressure
stroke volume
url https://www.frontiersin.org/article/10.3389/fphys.2020.00104/full
work_keys_str_mv AT richardstaats theimportanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT richardstaats theimportanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT inesbarros theimportanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT dinafernandes theimportanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT dinagrencho theimportanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT catiareis theimportanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT catiareis theimportanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT filipamatos theimportanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT joaovalenca theimportanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT joaovalenca theimportanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT joaomaroco theimportanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT antoniobugalhodealmeida theimportanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT cristinabarbara theimportanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT cristinabarbara theimportanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT richardstaats importanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT richardstaats importanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT inesbarros importanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT dinafernandes importanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT dinagrencho importanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT catiareis importanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT catiareis importanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT filipamatos importanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT joaovalenca importanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT joaovalenca importanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT joaomaroco importanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT antoniobugalhodealmeida importanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT cristinabarbara importanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients
AT cristinabarbara importanceofsleepfragmentationonthehemodynamicdippinginobstructivesleepapneapatients