dc.creatorRamírez, I.I.
dc.creatorAdasme, R.S.
dc.creatorArellano, Daniel H.
dc.creatorRocha, A.R.M.
dc.creatorAndrade, F.M.D.
dc.creatorNúñez-Silveira, J.;Montecinos, N.A.
dc.creatorDias, S.
dc.creatorDamiani, L.F.
dc.creatorGutierrez-Arias, R.
dc.creatorLobo-Valbuena, B.
dc.creatorGordo-Vidal, F.
dc.date.accessioned2020-11-03T07:35:05Z
dc.date.accessioned2023-05-30T20:43:47Z
dc.date.available2020-11-03T07:35:05Z
dc.date.available2023-05-30T20:43:47Z
dc.date.created2020-11-03T07:35:05Z
dc.date.issued2019
dc.identifier0210-5691
dc.identifierhttp://repositorio.uss.cl/xmlui/handle/uss/160
dc.identifierhttp://dx.doi.org/10.1016/j.medin.2019.09.004
dc.identifier1578-6749
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6445583
dc.description.abstractObjective: To describe the main factors associated with proper recognition and management of patient-ventilator asynchrony (PVA). Design: An analytical cross-sectional study was carried out. Setting: An international study conducted in 20 countries through an online survey. Participants: Physicians, respiratory therapists, nurses and physiotherapists currently working in the Intensive Care Unit (ICU). Main 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. Results: 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). Conclusion: 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.
dc.languagespa
dc.publisherFacultad de Ciencias de la Salud
dc.relationno. 19
dc.relationIndexado en WOS
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.sourceMedicina Intensiva
dc.subjectASINCRONÍA PACIENTE-VENTILADOR
dc.subjectINTENSIVE CARE UNIT
dc.subjectINTERACCIÓN PACIENTE-VENTILADOR
dc.subjectMECHANICAL VENTILATION
dc.subjectPATIENT–VENTILATOR ASYNCHRONY
dc.subjectPATIENT–VENTILATOR INTERACTION
dc.subjectUNIDAD DE CUIDADOS INTENSIVOS
dc.subjectVENTILACIÓN MECÁNICA
dc.titleIdentificación y manejo de la asincronía paciente-ventilador: encuesta internacional
dc.typeArticle


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