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Cardiopulmonary coupling indices to assess weaning readiness from mechanical ventilation.
Armañac-Julián, Pablo; Hernando, David; Lázaro, Jesús; de Haro, Candelaria; Magrans, Rudys; Morales, John; Moeyersons, Jonathan; Sarlabous, Leonardo; López-Aguilar, Josefina; Subirà, Carles; Fernández, Rafael; Orini, Michele; Laguna, Pablo; Varon, Carolina; Gil, Eduardo; Bailón, Raquel; Blanch, Lluís.
Afiliação
  • Armañac-Julián P; Biomedical Signal Interpretation and Computational Simulation (BSICoS) group at the Aragón Institute of Engineering Research (I3A), IIS Aragón, University of Zaragoza, Zaragoza, Spain. parmanac@unizar.es.
  • Hernando D; CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, Madrid, Spain. parmanac@unizar.es.
  • Lázaro J; Biomedical Signal Interpretation and Computational Simulation (BSICoS) group at the Aragón Institute of Engineering Research (I3A), IIS Aragón, University of Zaragoza, Zaragoza, Spain.
  • de Haro C; CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, Madrid, Spain.
  • Magrans R; Biomedical Signal Interpretation and Computational Simulation (BSICoS) group at the Aragón Institute of Engineering Research (I3A), IIS Aragón, University of Zaragoza, Zaragoza, Spain.
  • Morales J; CIBER de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, Madrid, Spain.
  • Moeyersons J; Critical Care Center, Hospital Universitari Parc Taulí, Institut d'Investigació Parc Taulí I3PT, Universitat Autónoma de Barcelona, Sabadell, Spain.
  • Sarlabous L; CIBER de Enfermedades Respiratorias (CIBER-ES), Instituto de Salud Carlos III, Madrid, Spain.
  • López-Aguilar J; Better Care, Barcelona, Spain.
  • Subirà C; Department of Electrical Engineering-ESAT, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium.
  • Fernández R; Department of Electrical Engineering-ESAT, STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium.
  • Orini M; Critical Care Center, Hospital Universitari Parc Taulí, Institut d'Investigació Parc Taulí I3PT, Universitat Autónoma de Barcelona, Sabadell, Spain.
  • Laguna P; Critical Care Center, Hospital Universitari Parc Taulí, Institut d'Investigació Parc Taulí I3PT, Universitat Autónoma de Barcelona, Sabadell, Spain.
  • Varon C; CIBER de Enfermedades Respiratorias (CIBER-ES), Instituto de Salud Carlos III, Madrid, Spain.
  • Gil E; Department of Intensive Care, Fundació Althaia, Universitat Internacional de Catalunya, Manresa, Spain.
  • Bailón R; CIBER de Enfermedades Respiratorias (CIBER-ES), Instituto de Salud Carlos III, Madrid, Spain.
  • Blanch L; Department of Intensive Care, Fundació Althaia, Universitat Internacional de Catalunya, Manresa, Spain.
Sci Rep ; 11(1): 16014, 2021 08 06.
Article em En | MEDLINE | ID: mdl-34362950
ABSTRACT
The 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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Respiração / Respiração Artificial / Desmame do Respirador / Frequência Cardíaca / Unidades de Terapia Intensiva Tipo de estudo: Observational_studies / Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Respiração / Respiração Artificial / Desmame do Respirador / Frequência Cardíaca / Unidades de Terapia Intensiva Tipo de estudo: Observational_studies / Prognostic_studies Limite: Aged / Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2021 Tipo de documento: Article