Identifying and managing patient-ventilator asynchrony: An international survey

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dc.contributor.authorRamirez, I. I.
dc.contributor.authorAdasme, R. S.
dc.contributor.authorArellano, D. H.
dc.contributor.authorRocha, A. R. M.
dc.contributor.authorAndrade, F. M. D.
dc.contributor.authorNunez-Silveira, J.
dc.contributor.authorMontecinos, N. A.
dc.contributor.authorDias, S.
dc.contributor.authorDamiani, L. F.
dc.contributor.authorGutierrez-Arias, R.
dc.contributor.authorLobo-Valbuena, B.
dc.contributor.authorGordo-Vidal, F.
dc.date.accessioned2025-01-20T23:51:00Z
dc.date.available2025-01-20T23:51:00Z
dc.date.issued2021
dc.description.abstractObjective: To describe the main factors associated with proper recognition and management of patient-ventilator asynchrony (PVA).
dc.description.abstractDesign: An analytical cross-sectional study was carried out.
dc.description.abstractSetting: An international study conducted in 20 countries through an online survey.
dc.description.abstractParticipants: Physicians, respiratory therapists, nurses and physiotherapists currently working in the Intensive Care Unit (ICU).
dc.description.abstractMain variables of interest: Univariate and multivariate logistic regression models were used to establish associations between all variables (profession, training in mechanical ventilation, type of training program, years of experience and ICU characteristics) and the ability of HCPs to correctly identify and manage 6 PVA.
dc.description.abstractResults: A total of 431 healthcare professionals answered a validated survey. The main factors associated to proper recognition of PVA were: specific training program in mechanical ventilation (MV) (OR 2.27; 95%CI 1.14-4.52; p = 0.019), courses with more than 100h completed (OR 2.28; 95%CI 1.29-4.03; p =0.005), and the number of ICU beds (OR 1.037; 95%CI 1.01-1.06; p= 0.005). The main factor influencing the management of PVA was the correct recognition of 6 PVAs (OR 118.98; 95%CI 35.25-401.58; p <0.001).
dc.description.abstractConclusion: Identifying and managing PVA using ventilator waveform analysis is influenced by many factors, including specific training programs in MV, the number of ICU beds, and the number of recognized PVAs. (C) 2019 Elsevier Espana, S.L.U. y SEMICYUC. All rights reserved.
dc.description.funderCONICYT-PFCHA/Doctorado Nacional/2017-folio
dc.fuente.origenWOS
dc.identifier.doi10.1016/j.medin.2019.09.004
dc.identifier.eissn1578-6749
dc.identifier.issn0210-5691
dc.identifier.urihttps://doi.org/10.1016/j.medin.2019.09.004
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/94765
dc.identifier.wosidWOS:000637344600002
dc.issue.numero3
dc.language.isoen
dc.pagina.final146
dc.pagina.inicio138
dc.revistaMedicina intensiva
dc.rightsacceso restringido
dc.subjectPatient-ventilator asynchrony
dc.subjectMechanical ventilation
dc.subjectIntensive Care Unit
dc.subjectPatient-ventilator interaction
dc.subject.ods03 Good Health and Well-being
dc.subject.odspa03 Salud y bienestar
dc.titleIdentifying and managing patient-ventilator asynchrony: An international survey
dc.typeartículo
dc.volumen45
sipa.indexWOS
sipa.trazabilidadWOS;2025-01-12
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