000107403 001__ 107403
000107403 005__ 20230622083318.0
000107403 0247_ $$2doi$$a10.1038/s41598-021-95282-2
000107403 0248_ $$2sideral$$a124758
000107403 037__ $$aART-2021-124758
000107403 041__ $$aeng
000107403 100__ $$aArmañac-Julian, Pablo$$uUniversidad de Zaragoza
000107403 245__ $$aCardiopulmonary coupling indices to assess weaning readiness from mechanical ventilation
000107403 260__ $$c2021
000107403 5060_ $$aAccess copy available to the general public$$fUnrestricted
000107403 5203_ $$aThe ideal moment to withdraw respiratory supply of patients under Mechanical Ventilation at Intensive Care Units (ICU), is not easy to be determined for clinicians. Although the Spontaneous Breathing Trial (SBT) provides a measure of the patients’ readiness, there is still around 15–20% of predictive failure rate. This work is a proof of concept focused on adding new value to the prediction of the weaning outcome. Heart Rate Variability (HRV) and Cardiopulmonary Coupling (CPC) methods are evaluated as new complementary estimates to assess weaning readiness. The CPC is related to how the mechanisms regulating respiration and cardiac pumping are working simultaneously, and it is defined from HRV in combination with respiratory information. Three different techniques are used to estimate the CPC, including Time-Frequency Coherence, Dynamic Mutual Information and Orthogonal Subspace Projections. The cohort study includes 22 patients in pressure support ventilation, ready to undergo the SBT, analysed in the 24 h previous to the SBT. Of these, 13 had a successful weaning and 9 failed the SBT or needed reintubation –being both considered as failed weaning. Results illustrate that traditional variables such as heart rate, respiratory frequency, and the parameters derived from HRV do not differ in patients with successful or failed weaning. Results revealed that HRV parameters can vary considerably depending on the time at which they are measured. This fact could be attributed to circadian rhythms, having a strong influence on HRV values. On the contrary, significant statistical differences are found in the proposed CPC parameters when comparing the values of the two groups, and throughout the whole recordings. In addition, differences are greater at night, probably because patients with failed weaning might be experiencing more respiratory episodes, e.g. apneas during the night, which is directly related to a reduced respiratory sinus arrhythmia. Therefore, results suggest that the traditional measures could be used in combination with the proposed CPC biomarkers to improve weaning readiness.
000107403 536__ $$9info:eu-repo/grantAgreement/ES/UZ-IBERCAJA-CAI/IT9-19$$9info:eu-repo/grantAgreement/ES/MINECO/RTC-2017-6193-1$$9info:eu-repo/grantAgreement/ES/MINECO-FEDER/RTI2018-097723-B-I00$$9info:eu-repo/grantAgreement/ES/ISCIII/PI19-01015$$9info:eu-repo/grantAgreement/ES/ISCIII/PI16-01706$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 745755-WECARMON$$9info:eu-repo/grantAgreement/EC/H2020/745755/EU/Wearable Cardiorespiratory Monitor/WECARMON$$9info:eu-repo/grantAgreement/ES/DGA-FSE/T39-20R-BSICoS group$$9info:eu-repo/grantAgreement/ES/DGA-FEDER/Construyendo Europa desde Aragón
000107403 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000107403 590__ $$a4.997$$b2021
000107403 592__ $$a1.005$$b2021
000107403 591__ $$aMULTIDISCIPLINARY SCIENCES$$b19 / 74 = 0.257$$c2021$$dQ2$$eT1
000107403 593__ $$aMultidisciplinary$$c2021$$dQ1
000107403 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000107403 700__ $$0(orcid)0000-0002-1462-4880$$aHernando, David
000107403 700__ $$0(orcid)0000-0001-8742-0072$$aLázaro, Jesús$$uUniversidad de Zaragoza
000107403 700__ $$aHaro, Candelaria de
000107403 700__ $$aMagrans, Rudys
000107403 700__ $$aMorales, John
000107403 700__ $$aMoeyersons, Jonathan
000107403 700__ $$aSarlabous, Leonardo
000107403 700__ $$aLópez-Aguilar, Josefina
000107403 700__ $$aSubirà, Carles
000107403 700__ $$aFernández, Rafael
000107403 700__ $$aOrini, Michele
000107403 700__ $$0(orcid)0000-0003-3434-9254$$aLaguna, Pablo$$uUniversidad de Zaragoza
000107403 700__ $$aVaron, Carolina
000107403 700__ $$0(orcid)0000-0001-7285-0715$$aGil, Eduardo$$uUniversidad de Zaragoza
000107403 700__ $$0(orcid)0000-0003-1272-0550$$aBailón, Raquel$$uUniversidad de Zaragoza
000107403 700__ $$aBlanch, Lluís
000107403 7102_ $$15007$$2520$$aUniversidad de Zaragoza$$bDpto. Informát.Ingenie.Sistms.$$cÁrea Ingen.Sistemas y Automát.
000107403 7102_ $$15008$$2800$$aUniversidad de Zaragoza$$bDpto. Ingeniería Electrón.Com.$$cÁrea Teoría Señal y Comunicac.
000107403 773__ $$g11 (2021), [14 pp.]$$pSci. rep. (Nat. Publ. Group)$$tScientific reports (Nature Publishing Group)$$x2045-2322
000107403 8564_ $$s1591716$$uhttps://zaguan.unizar.es/record/107403/files/texto_completo.pdf$$yVersión publicada
000107403 8564_ $$s2602609$$uhttps://zaguan.unizar.es/record/107403/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000107403 909CO $$ooai:zaguan.unizar.es:107403$$particulos$$pdriver
000107403 951__ $$a2023-06-21-15:02:50
000107403 980__ $$aARTICLE