120020 20240319081003.0 doi 10.1183/23120541.00121-2022 sideral 130862 ART-2022-130862 eng Hietakoste, S. Obstructive sleep apnoea-related respiratory events and desaturation severity are associated with the cardiac response 2022 Access copy available to the general public Unrestricted Obstructive sleep apnoea (OSA) causes, among other things, intermittent blood oxygen desaturations, increasing the sympathetic tone. Yet the effect of desaturations on heart rate variability (HRV), a simple and noninvasive method for assessing sympathovagal balance, has not been comprehensively studied. We aimed to study whether desaturation severity affects the immediate HRV.MethodsWe retrospectively analysed the electrocardiography signals in 5-min segments (n=39 132) recorded during clinical polysomnographies of 642 patients with suspected OSA. HRV parameters were calculated for each segment. The segments were pooled into severity groups based on the desaturation severity (i.e.the integrated area under the blood oxygen saturation curve) and the respiratory event rate within the segment. Covariate-adjusted regression analyses were performed to investigate possible confounding effects.ResultsWith increasing respiratory event rate, the normalised high-frequency band power (HFNU) decreased from 0.517 to 0.364 (p<0.01), the normalised low-frequency band power (LFNU) increased from 0.483 to 0.636 (p<0.01) and the mean RR interval decreased from 915 to 869 ms (p<0.01). Similarly, with increasing desaturation severity, the HFNUdecreased from 0.499 to 0.364 (p<0.01), the LFNUincreased from 0.501 to 0.636 (p<0.01) and the mean RR interval decreased from 952 to 854 ms (p<0.01). Desaturation severity-related findings were confirmed by considering the confounding factors in the regression analyses.ConclusionThe short-term HRV response differs based on the desaturation severity and the respiratory event rate in patients with suspected OSA. Therefore, a more detailed analysis of HRV and desaturation characteristics could enhance OSA severity estimation. info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R 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/semantics/openAccess by http://creativecommons.org/licenses/by/3.0/es/ 4.6 2022 RESPIRATORY SYSTEM 22 / 66 = 0.333 2022 Q2 T2 1.304 2022 Pulmonary and Respiratory Medicine 2022 Q1 5.2 2022 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Karhu, T. Sillanmäki, S. Bailón, R. Universidad de Zaragoza (orcid)0000-0003-1272-0550 Penzel, T. Töyräs, J. Leppänen, T. Myllymaa, S. Kainulainen, S. 5008 800 Universidad de Zaragoza Dpto. Ingeniería Electrón.Com. Área Teoría Señal y Comunicac. 8, 4 (2022), 00121[12 pp.] ERJ open res. ERJ Open Research 2312-0541 637647 http://zaguan.unizar.es/record/120020/files/texto_completo.pdf Versión publicada 2674302 http://zaguan.unizar.es/record/120020/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:120020 articulos driver 2024-03-18-14:20:55 ARTICLE