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dc.contributor.authorMartín-Montero, Adrián
dc.contributor.authorGutiérrez-Tobal, Gonzalo C.
dc.contributor.authorKheirandish-Gozal, Leila
dc.contributor.authorJiménez-García, Jorge
dc.contributor.authorÁlvarez, Daniel
dc.contributor.authordel Campo, Félix
dc.contributor.authorGozal, David
dc.contributor.authorHornero, Roberto
dc.date.accessioned2026-01-16T12:55:45Z
dc.date.available2026-01-16T12:55:45Z
dc.date.issued2020-05
dc.identifier.citationPediatric Research, Mayo 2020, vol. 89, n. 7, p. 1771-1779es
dc.identifier.issn0031-3998es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/81685
dc.description.abstractBackground Classic spectral analysis of heart rate variability (HRV) in pediatric sleep apnea–hypopnea syndrome (SAHS) traditionally evaluates the very low frequency (VLF: 0–0.04 Hz), low frequency (LF: 0.04–0.15 Hz), and high frequency (HF: 0.15–0.40 Hz) bands. However, specific SAHS-related frequency bands have not been explored. Methods One thousand seven hundred and thirty-eight HRV overnight recordings from two pediatric databases (0–13 years) were evaluated. The first one (981 children) served as training set to define new HRV pediatric SAHS-related frequency bands. The associated relative power (RP) were computed in the test set, the Childhood Adenotonsillectomy Trial database (CHAT, 757 children). Their relationships with polysomnographic variables and diagnostic ability were assessed. Results Two new specific spectral bands of pediatric SAHS within 0–0.15 Hz were related to duration of apneic events, number of awakenings, and wakefulness after sleep onset (WASO), while an adaptive individual-specific new band from HF was related to oxyhemoglobin desaturations, arousals, and WASO. Furthermore, these new spectral bands showed improved diagnostic ability than classic HRV. Conclusions Novel spectral bands provide improved characterization of pediatric SAHS. These findings may pioneer a better understanding of the effects of SAHS on cardiac function and potentially serve as detection biomarkers.es
dc.format.mimetypeapplication/pdfes
dc.language.isospaes
dc.publisherSpringer Naturees
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.titleHeart rate variability spectrum characteristics in children with sleep apneaes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© International Pediatric Research Foundation, Inc. 2020es
dc.identifier.doi10.1038/s41390-020-01138-2es
dc.identifier.publicationfirstpage1771es
dc.identifier.publicationissue7es
dc.identifier.publicationlastpage1779es
dc.identifier.publicationtitlePediatric Researches
dc.identifier.publicationvolume89es
dc.peerreviewedSIes
dc.description.projectThis work was supported by “Ministerio de Ciencia, Innovación y Universidades” and “European Regional Development Fund (FEDER)” under projects DPI2017-84280-R and RTC-2017-6516-1, by “European Commission” and “FEDER” under projects “Análisis y correlación entre el genoma completo y la actividad cerebral para la ayuda en el diagnóstico de la enfermedad de Alzheimer” and “Análisis y correlación entre la epigenética y la actividad cerebral para evaluar el riesgo de migraña crónica y episódica en mujeres” (“Cooperation Programme Interreg V-A Spain-Portugal POCTEP 2014–2020”), and by “CIBER en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN)” through “Instituto de Salud Carlos III” co-funded with FEDER funds. A.M.-M. was in receipt of a “Ayudas para contratos predoctorales para la Formación de Doctores” grant from the Ministerio de Ciencia, Innovación y Universidades (PRE2018–085219). J.J.-G. was in receipt of a “Ayudas para la contratación de personal técnico de apoyo a la investigación” grant from the “Junta de Castilla y León” funded by the European Social Fund and Youth Employment Initiative. L.K.-G. and D.G. were supported by National Institutes of Health (NIH) grant HL130984.es
dc.identifier.essn1530-0447es
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersiones
dc.subject.unesco3314 Tecnología Médicaes
dc.subject.unesco3325 Tecnología de las Telecomunicacioneses


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