• Felipe Fava de Lima, Raquel Siqueira de Nóbrega, Paolo José Cesare Biselli, and Takachi MoriyaHenriqueH0000-0002-1595-1779Biomedical Engineering Laboratory, Escola Politécnica, University of São Paulo (USP), São Paulo, Brazil..
• Biomedical Engineering Laboratory, Escola Politécnica, University of São Paulo (USP), São Paulo, Brazil. felipefavadelima@gmail.com.
• J Clin Monit Comput. 2024 Oct 1; 38 (5): 961979961-979.

AbstractThis pilot study aimed to investigate the relation between cardio-respiratory parameters derived from Central Venous Pressure (CVP) waveform and Extubation Failure (EF) in mechanically ventilated ICU patients during post-extubation period. This study also proposes a new methodology for analysing these parameters during rest/sleep periods to try to improve the identification of EF. We conducted a prospective observational study, computing CVP-derived parameters including breathing effort, spectral analyses, and entropy in twenty critically ill patients post-extubation. The Dynamic Warping Index (DWi) was calculated from the respiratory component extracted from the CVP signal to identify rest/sleep states. The obtained parameters from EF patients and patients without EF were compared both during arbitrary periods and during reduced DWi (rest/sleep). We have analysed data from twenty patients of which nine experienced EF. Our findings may suggest significantly increased respiratory effort in EF patients compared to those successfully extubated. Our study also suggests the occurrence of significant change in the frequency dispersion of the cardiac signal component. We also identified a possible improvement in the differentiation between the two groups of patients when assessed during rest/sleep states. Although with caveats regarding the sample size, the results of this pilot study may suggest that CVP-derived cardio-respiratory parameters are valuable for monitoring respiratory failure during post-extubation, which could aid in managing non-invasive interventions and possibly reduce the incidence of EF. Our findings also indicate the possible importance of considering sleep/rest state when assessing cardio-respiratory parameters, which could enhance respiratory failure detection/monitoring.© 2024. The Author(s), under exclusive licence to Springer Nature B.V.

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