0147 Nocturnal Blood Pressure as an Emerging Biosignal in Sleep Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1093/sleep/zsaf090.0147
Introduction Sleep blood pressure (BP) is an important cardiovascular marker. A sporadic BP measurement by traditional oscillometric ambulatory BP monitoring cannot capture dynamic BP fluctuation occurring in sleep. Acute BP surges accompanying an pathological sleep event such as an obstructive sleep apnea (OSA) may provide clinically meaningful information. Based on the inverse relationship between BP and pulse transit time (PTT), PTT can be used to track BP changes. In this study, we tested the hypothesis that individuals with OSA would exhibit variable nocturnal BP fluctuations. Methods We included study participants enrolled in a prospective study that aims to investigate the brain glymphatic function in Veterans with OSA. All participants underwent a home sleep study using a system that records PTT via electrocardiography (ECG) and photoplethysmography (PPG). We derived a nocturnal BP fluctuation index (NBPFI), defined as the number of events per hour with systolic BP increase more than 12 mmHg from baseline in association with OSA events. We categorized NBPFI into OSA events with and without accompanying significant desaturation (>=4%). We evaluated the association between NBPFI normalized by AHI and its association with total time spent with oxygen desaturation below 90% (T90%). Results Among 7 participants enrolled, 5 participants achieved successful PTT-based BP recording (mean age± SD =53.4 years old±6). All participants had moderate to severe OSA with a mean apnea-hypopnea index (AHI) of 42/hr. ±18 and mean T90% of 27min±20. Regarding the BP surge, the mean maximal BP surge was 28±1.8 mmHg and mean absolute maximal systolic BP was 152 mmHG±23. All participants exhibited NBPFI (rages from 14 to 36/hr.) with mean of 22.9/hr±9.2 with mean NBPI related to without (18.2/hr. ±9.2) and with hypoxia (2.1/hr±2.0). A trend of inverse association was observed between NBPFI normalized by AHI and T90% but not statistically significant. Conclusion We found highly variable BP surge patterns in response to OSA events. There appears to be an inverse relationship between the degree of hypoxemia and BP surge events. Future work should investigate how and whether OSA related BP surge events would be related to brain glymphatic function. Support (if any) VISN 20 Mental Illness Research, Education, and Clinical Center
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/sleep/zsaf090.0147
- https://academic.oup.com/sleep/article-pdf/48/Supplement_1/A66/63221842/zsaf090.0147.pdf
- OA Status
- bronze
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4410501578Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/sleep/zsaf090.0147Digital Object Identifier
- Title
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0147 Nocturnal Blood Pressure as an Emerging Biosignal in SleepWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-05-01Full publication date if available
- Authors
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Yeilim Cho, J Swierz, Rishi Ananth, Swati Rane Levendovszky, Vishesh K. Kapur, Brian N. Palen, Miranda M. Lim, Elaine R. Peskind, Jeffrey J. IliffList of authors in order
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https://doi.org/10.1093/sleep/zsaf090.0147Publisher landing page
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https://academic.oup.com/sleep/article-pdf/48/Supplement_1/A66/63221842/zsaf090.0147.pdfDirect link to full text PDF
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://academic.oup.com/sleep/article-pdf/48/Supplement_1/A66/63221842/zsaf090.0147.pdfDirect OA link when available
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Nocturnal, Sleep (system call), Biosignal, Blood pressure, Polysomnography, Medicine, Computer science, Internal medicine, Psychiatry, Electroencephalography, Telecommunications, Operating system, WirelessTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.be | 63, 312, 338 |
| abstract_inverted_index.by | 15, 178, 288 |
| abstract_inverted_index.in | 27, 92, 104, 153, 304 |
| abstract_inverted_index.is | 6 |
| abstract_inverted_index.of | 139, 224, 230, 264, 280, 319 |
| abstract_inverted_index.on | 50 |
| abstract_inverted_index.to | 65, 98, 215, 260, 270, 306, 311, 340 |
| abstract_inverted_index.we | 72 |
| abstract_inverted_index.(if | 345 |
| abstract_inverted_index.152 | 251 |
| abstract_inverted_index.90% | 191 |
| abstract_inverted_index.AHI | 179, 289 |
| abstract_inverted_index.All | 108, 211, 253 |
| abstract_inverted_index.OSA | 79, 156, 162, 217, 307, 332 |
| abstract_inverted_index.PTT | 61, 120 |
| abstract_inverted_index.and | 56, 124, 165, 180, 227, 244, 274, 290, 321, 330, 353 |
| abstract_inverted_index.but | 292 |
| abstract_inverted_index.can | 62 |
| abstract_inverted_index.had | 213 |
| abstract_inverted_index.how | 329 |
| abstract_inverted_index.its | 181 |
| abstract_inverted_index.may | 44 |
| abstract_inverted_index.not | 293 |
| abstract_inverted_index.per | 141 |
| abstract_inverted_index.the | 51, 74, 100, 137, 173, 233, 236, 317 |
| abstract_inverted_index.via | 121 |
| abstract_inverted_index.was | 241, 250, 283 |
| abstract_inverted_index.(BP) | 5 |
| abstract_inverted_index.NBPI | 268 |
| abstract_inverted_index.OSA. | 107 |
| abstract_inverted_index.T90% | 229, 291 |
| abstract_inverted_index.VISN | 347 |
| abstract_inverted_index.aims | 97 |
| abstract_inverted_index.any) | 346 |
| abstract_inverted_index.from | 151, 258 |
| abstract_inverted_index.home | 112 |
| abstract_inverted_index.hour | 142 |
| abstract_inverted_index.into | 161 |
| abstract_inverted_index.mean | 220, 228, 237, 245, 263, 267 |
| abstract_inverted_index.mmHg | 150, 243 |
| abstract_inverted_index.more | 147 |
| abstract_inverted_index.such | 37 |
| abstract_inverted_index.than | 148 |
| abstract_inverted_index.that | 76, 96, 118 |
| abstract_inverted_index.this | 70 |
| abstract_inverted_index.time | 59, 185 |
| abstract_inverted_index.used | 64 |
| abstract_inverted_index.with | 78, 106, 143, 155, 164, 183, 187, 218, 262, 266, 275 |
| abstract_inverted_index.work | 326 |
| abstract_inverted_index.±18 | 226 |
| abstract_inverted_index.(AHI) | 223 |
| abstract_inverted_index.(ECG) | 123 |
| abstract_inverted_index.(OSA) | 43 |
| abstract_inverted_index.(mean | 205 |
| abstract_inverted_index.=53.4 | 208 |
| abstract_inverted_index.Acute | 29 |
| abstract_inverted_index.Among | 194 |
| abstract_inverted_index.Based | 49 |
| abstract_inverted_index.NBPFI | 160, 176, 256, 286 |
| abstract_inverted_index.Sleep | 2 |
| abstract_inverted_index.There | 309 |
| abstract_inverted_index.age± | 206 |
| abstract_inverted_index.apnea | 42 |
| abstract_inverted_index.below | 190 |
| abstract_inverted_index.blood | 3 |
| abstract_inverted_index.brain | 101, 341 |
| abstract_inverted_index.event | 36 |
| abstract_inverted_index.found | 298 |
| abstract_inverted_index.index | 133, 222 |
| abstract_inverted_index.pulse | 57 |
| abstract_inverted_index.sleep | 35, 41, 113 |
| abstract_inverted_index.spent | 186 |
| abstract_inverted_index.study | 89, 95, 114 |
| abstract_inverted_index.surge | 240, 302, 323, 335 |
| abstract_inverted_index.total | 184 |
| abstract_inverted_index.track | 66 |
| abstract_inverted_index.trend | 279 |
| abstract_inverted_index.using | 115 |
| abstract_inverted_index.would | 80, 337 |
| abstract_inverted_index.years | 209 |
| abstract_inverted_index.(PPG). | 126 |
| abstract_inverted_index.(PTT), | 60 |
| abstract_inverted_index.(rages | 257 |
| abstract_inverted_index.42/hr. | 225 |
| abstract_inverted_index.Center | 355 |
| abstract_inverted_index.Future | 325 |
| abstract_inverted_index.Mental | 349 |
| abstract_inverted_index.cannot | 21 |
| abstract_inverted_index.degree | 318 |
| abstract_inverted_index.events | 140, 163, 336 |
| abstract_inverted_index.highly | 299 |
| abstract_inverted_index.number | 138 |
| abstract_inverted_index.oxygen | 188 |
| abstract_inverted_index.severe | 216 |
| abstract_inverted_index.should | 327 |
| abstract_inverted_index.sleep. | 28 |
| abstract_inverted_index.study, | 71 |
| abstract_inverted_index.surge, | 235 |
| abstract_inverted_index.surges | 31 |
| abstract_inverted_index.system | 117 |
| abstract_inverted_index.tested | 73 |
| abstract_inverted_index.±9.2) | 273 |
| abstract_inverted_index.(T90%). | 192 |
| abstract_inverted_index.28±1.8 | 242 |
| abstract_inverted_index.36/hr.) | 261 |
| abstract_inverted_index.Illness | 350 |
| abstract_inverted_index.Methods | 86 |
| abstract_inverted_index.Results | 193 |
| abstract_inverted_index.Support | 344 |
| abstract_inverted_index.appears | 310 |
| abstract_inverted_index.between | 54, 175, 285, 316 |
| abstract_inverted_index.capture | 22 |
| abstract_inverted_index.defined | 135 |
| abstract_inverted_index.derived | 128 |
| abstract_inverted_index.dynamic | 23 |
| abstract_inverted_index.events. | 157, 308, 324 |
| abstract_inverted_index.exhibit | 81 |
| abstract_inverted_index.hypoxia | 276 |
| abstract_inverted_index.inverse | 52, 281, 314 |
| abstract_inverted_index.marker. | 10 |
| abstract_inverted_index.maximal | 238, 247 |
| abstract_inverted_index.provide | 45 |
| abstract_inverted_index.records | 119 |
| abstract_inverted_index.related | 269, 333, 339 |
| abstract_inverted_index.transit | 58 |
| abstract_inverted_index.whether | 331 |
| abstract_inverted_index.without | 166, 271 |
| abstract_inverted_index.(NBPFI), | 134 |
| abstract_inverted_index.Abstract | 0 |
| abstract_inverted_index.Clinical | 354 |
| abstract_inverted_index.Veterans | 105 |
| abstract_inverted_index.absolute | 246 |
| abstract_inverted_index.achieved | 200 |
| abstract_inverted_index.baseline | 152 |
| abstract_inverted_index.changes. | 68 |
| abstract_inverted_index.enrolled | 91 |
| abstract_inverted_index.function | 103 |
| abstract_inverted_index.included | 88 |
| abstract_inverted_index.increase | 146 |
| abstract_inverted_index.moderate | 214 |
| abstract_inverted_index.observed | 284 |
| abstract_inverted_index.old±6). | 210 |
| abstract_inverted_index.patterns | 303 |
| abstract_inverted_index.pressure | 4 |
| abstract_inverted_index.response | 305 |
| abstract_inverted_index.sporadic | 12 |
| abstract_inverted_index.systolic | 144, 248 |
| abstract_inverted_index.variable | 82, 300 |
| abstract_inverted_index.(18.2/hr. | 272 |
| abstract_inverted_index.PTT-based | 202 |
| abstract_inverted_index.Regarding | 232 |
| abstract_inverted_index.Research, | 351 |
| abstract_inverted_index.enrolled, | 197 |
| abstract_inverted_index.evaluated | 172 |
| abstract_inverted_index.exhibited | 255 |
| abstract_inverted_index.function. | 343 |
| abstract_inverted_index.hypoxemia | 320 |
| abstract_inverted_index.important | 8 |
| abstract_inverted_index.mmHG±23. | 252 |
| abstract_inverted_index.nocturnal | 83, 130 |
| abstract_inverted_index.occurring | 26 |
| abstract_inverted_index.recording | 204 |
| abstract_inverted_index.underwent | 110 |
| abstract_inverted_index.27min±20. | 231 |
| abstract_inverted_index.Conclusion | 296 |
| abstract_inverted_index.Education, | 352 |
| abstract_inverted_index.ambulatory | 18 |
| abstract_inverted_index.clinically | 46 |
| abstract_inverted_index.glymphatic | 102, 342 |
| abstract_inverted_index.hypothesis | 75 |
| abstract_inverted_index.meaningful | 47 |
| abstract_inverted_index.monitoring | 20 |
| abstract_inverted_index.normalized | 177, 287 |
| abstract_inverted_index.successful | 201 |
| abstract_inverted_index.association | 154, 174, 182, 282 |
| abstract_inverted_index.categorized | 159 |
| abstract_inverted_index.fluctuation | 25, 132 |
| abstract_inverted_index.individuals | 77 |
| abstract_inverted_index.investigate | 99, 328 |
| abstract_inverted_index.measurement | 14 |
| abstract_inverted_index.obstructive | 40 |
| abstract_inverted_index.prospective | 94 |
| abstract_inverted_index.significant | 168 |
| abstract_inverted_index.traditional | 16 |
| abstract_inverted_index.22.9/hr±9.2 | 265 |
| abstract_inverted_index.Introduction | 1 |
| abstract_inverted_index.accompanying | 32, 167 |
| abstract_inverted_index.desaturation | 169, 189 |
| abstract_inverted_index.information. | 48 |
| abstract_inverted_index.participants | 90, 109, 196, 199, 212, 254 |
| abstract_inverted_index.pathological | 34 |
| abstract_inverted_index.relationship | 53, 315 |
| abstract_inverted_index.significant. | 295 |
| abstract_inverted_index.fluctuations. | 85 |
| abstract_inverted_index.oscillometric | 17 |
| abstract_inverted_index.statistically | 294 |
| abstract_inverted_index.(>=4%). | 170 |
| abstract_inverted_index.(2.1/hr±2.0). | 277 |
| abstract_inverted_index.apnea-hypopnea | 221 |
| abstract_inverted_index.cardiovascular | 9 |
| abstract_inverted_index.electrocardiography | 122 |
| abstract_inverted_index.photoplethysmography | 125 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| citation_normalized_percentile.value | 0.20143545 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |