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Blood Pressure “Dipping” and “Non-Dipping” in Obstructive Sleep Apnea Syndrome Patients
Abstract
Obstructive sleep apnea syndrome (OSAS) has been associated with a higher than normal cardiovascular morbidity and mortality. Some OSAS patients lack the sleep-related, nocturnal decrease, or "dip," in blood pressure which is seen in normal individuals. These subjects, called "non-dippers," may be at greater risk for cardiovascular problems. We studied 40 OSAS patients (including 3 women) and 6 control subjects, all identified by polysomnography, for nocturnal blood pressure "dipping." We performed a second nocturnal polysomnogram to determine their apnea and hypopnea indices, (A + H)I, and oxygen saturation levels at the beginning of the study and then initiated 48 hours of ambulatory blood pressure monitoring, with data points collected every 30 minutes. Controls, which included one hypertensive subject, were all dippers. Nineteen OSAS subjects (48% of OSAS individuals) were systolic non-dippers and only 9 of them (22.5%) were diastolic non-dippers. We considered the following clinical variables as potential predictors of non-dipping: age, body mass index, respiratory disturbance index, years of reported loud snoring by bed partners, lowest oxygen saturation during nocturnal sleep, and percentage of sleep time spent with oxygen saturation below 90%. Multiple regression analyses indicated respiratory disturbance index as the only significant variable for systolic (p = 0.04) and diastolic (p = 0.03) blood pressure non-dipping. When we forced the following two nonsignificant variables into the model, they showed a very meager impact: number of years with reported loud snoring (p = 0.4 and p = 0.5, respectively for systolic and diastolic blood pressure non-dipping) and age (p = 0.5 and p = 0.6). The calculated model explained only a low percentage of the variance with an r2 of 0.25 and 0.26 for systolic and diastolic blood pressure non-dipping, respectively. Analysis of hypertension/normotension and dipping/non-dipping failed to show a significant relationship in the studied population. Fifty percent of the normotensive OSAS subjects were non-dippers and 43% of the hypertensive OSAS subjects were also non-dippers. We found a relationship between increasing respiratory disturbance index and increasing average 24-hour systolic blood pressure only when OSAS subjects were non-dippers and hypertensive.
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Citations
Cited by
Epidemiology of Obstructive Sleep Apnea: A Population Health Perspective
Young, T., Peppard, P. E., & Gottlieb, D. J. (2002) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.2109080 · Cited by 4,244
Sleep Apnea and Cardiovascular Disease
LEUNG, R. S. T., & DOUGLAS BRADLEY, T. (2001) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.164.12.2107045 · Cited by 649
Predictive Role of the Nighttime Blood Pressure
Hansen, T. W., Li, Y., Boggia, J., Thijs, L., Richart, T., & Staessen, J. A. (2011) · Hypertension · doi:10.1161/hypertensionaha.109.133900 · Cited by 597
Obesity and obstructive sleep apnea
Gami, A. S., Caples, S. M., & Somers, V. K. (2003) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/s0889-8529(03)00069-0 · Cited by 338
Cognition and daytime functioning in sleep-related breathing disorders
Jackson, M. L., Howard, M. E., & Barnes, M. (2011) · Progress in Brain Research · doi:10.1016/b978-0-444-53817-8.00003-7 · Cited by 202
Metadata
- Authors
- Suzuki, M., Guilleminault, C., Otsuka, K., & Shiomi, T.
- Venue
- Sleep
- Publisher
- Oxford University Press (OUP)
- Published
- 1996-07
- Volume
- 19
- Issue
- 5
- Pages
- 382-387
- ISSN
- 0161-8105 (ISSN-L)
- 1550-9109
- OpenAlex
- W112211129
- Cited by
- 205
- References
- 0
- FWCI
- 2.67
- Type
- journal article
- Language
- en
- Open access
- closed
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- Suzuki, M., Guilleminault, C., Otsuka, K., & Shiomi, T. (1996). Blood Pressure “Dipping” and “Non-Dipping” in Obstructive Sleep Apnea Syndrome Patients. Sleep. https://doi.org/10.1093/sleep/19.5.382
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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