148218 20260217205542.0 doi 10.1093/sleep/zsae282 sideral 141484 ART-2024-141484 eng Hietakoste, Salla Nocturnal short-term heart rate variability reflects impaired daytime vigilance better than overnight heart rate variability in suspected obstructive sleep apnea patients 2024 Access copy available to the general public Unrestricted In obstructive sleep apnea (OSA), heart rate variability (HRV) decreases and performance in psychomotor vigilance task (PVT) worsens with more severe hypoxic load. Nevertheless, the association between HRV and PVT performance is poorly understood. Thus, we hypothesize that nocturnal short-term HRV is better related to daytime psychomotor vigilance compared with overnight HRV. To investigate this hypothesis, we retrospectively analyzed the electrocardiograms from polysomnographies of 546 consecutive patients with suspected OSA. We determined overnight HRV and short-term HRV in nonoverlapping 5-min segments and performed stepwise linear regression analyses to associate HRV with the median reaction time (RT) in the PVT. The short-term decrease in the median interval between two successive normal R peaks (NN interval), root mean square of successive NNs, and normalized high-frequency band power were all significant (p < 0.001) indicators of longer median RTs. However, the overnight HRV parameters did not indicate worsening median RT. Instead, increased hypoxic load and N3 duration were associated with longer median RT in men but not in women. The association of HRV and cardiorespiratory coupling with PVT performance was generally weak. Nocturnal short-term HRV evaluation reflected a state of vigilance better than the average overnight HRV. Thus, the overnight HRV analysis might not be optimal for patients with OSA. Utilizing the HRV analysis in a time-series manner and combined with the hypoxic load and sleep stages could bring new aspects to the health assessment of patients with OSA. info:eu-repo/grantAgreement/ES/DGA/T39-23R info:eu-repo/grantAgreement/EC/H2020/965417/EU/Revolution of sleep diagnostics and personalized health care based on digital diagnostics and therapeutics with health data integration/SLEEP REVOLUTION This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 965417-SLEEP REVOLUTION info:eu-repo/grantAgreement/ES/MICINN/PID2021-126734OB-C21 info:eu-repo/grantAgreement/EUR/MICINN/TED2021-131106B-I00 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 4.9 2024 NEUROSCIENCES 55 / 314 = 0.175 2024 Q1 T1 CLINICAL NEUROLOGY 33 / 286 = 0.115 2024 Q1 T1 1.796 2024 Behavioral Neuroscience 2024 Q1 Clinical Psychology 2024 Q1 Physiology (medical) 2024 Q1 Neuropsychology and Physiological Psychology 2024 Q1 Neurology (clinical) 2024 Q1 11.1 2024 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Karhu, Tuomas Lombardi, Carolina Armañac-Julián, Pablo Universidad de Zaragoza (orcid)0000-0001-5918-1043 Bailón, Raquel Universidad de Zaragoza (orcid)0000-0003-1272-0550 Duce, Brett Sillanmäki, Saara Töyräs, Juha Leppänen, Timo Myllymaa, Sami Kainulainen, Samu 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 48, 4 (2024), [12 pp.] Sleep (N.Y. N.Y.) Sleep 0161-8105 1824937 http://zaguan.unizar.es/record/148218/files/texto_completo.pdf Versión publicada 2435445 http://zaguan.unizar.es/record/148218/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:148218 articulos driver 2026-02-17-20:36:50 ARTICLE