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Identifying and managing patient-ventilator asynchrony: An international survey.

Abstract：

OBJECTIVE: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.

journal_name

Med Intensiva

journal_title

Medicina intensiva

authors

Ramírez II,Adasme RS,Arellano DH,Rocha ARM,Andrade FMD,Núñez-Silveira J,Montecinos NA,Dias S,Damiani LF,Gutierrez-Arias R,Lobo-Valbuena B,Gordo-Vidal F

doi

10.1016/j.medin.2019.09.004

subject

Has Abstract

pub_date

2019-10-23 00:00:00

eissn

0210-5691

issn

1578-6749

pii

S0210-5691(19)30204-9

pub_type

杂志文章

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