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Intensive care medicine · Apr 2015
Observational StudyAsynchronies during mechanical ventilation are associated with mortality.
- Lluís Blanch, Ana Villagra, Bernat Sales, Jaume Montanya, Umberto Lucangelo, Manel Luján, Oscar García-Esquirol, Encarna Chacón, Anna Estruga, Joan C Oliva, Alberto Hernández-Abadia, Guillermo M Albaiceta, Enrique Fernández-Mondejar, Rafael Fernández, Josefina Lopez-Aguilar, Jesús Villar, Gastón Murias, and Robert M Kacmarek.
- Critical Care Center, Hospital de Sabadell, Corporació Sanitaria Universitària Parc Taulí, Universitat Autònoma de Barcelona, Parc Taulí, 1, 08208, Sabadell, Spain, LBlanch@tauli.cat.
- Intensive Care Med. 2015 Apr 1; 41 (4): 633-41.
PurposeThis study aimed to assess the prevalence and time course of asynchronies during mechanical ventilation (MV).MethodsProspective, noninterventional observational study of 50 patients admitted to intensive care unit (ICU) beds equipped with Better Care™ software throughout MV. The software distinguished ventilatory modes and detected ineffective inspiratory efforts during expiration (IEE), double-triggering, aborted inspirations, and short and prolonged cycling to compute the asynchrony index (AI) for each hour. We analyzed 7,027 h of MV comprising 8,731,981 breaths.ResultsAsynchronies were detected in all patients and in all ventilator modes. The median AI was 3.41 % [IQR 1.95-5.77]; the most common asynchrony overall and in each mode was IEE [2.38 % (IQR 1.36-3.61)]. Asynchronies were less frequent from 12 pm to 6 am [1.69 % (IQR 0.47-4.78)]. In the hours where more than 90 % of breaths were machine-triggered, the median AI decreased, but asynchronies were still present. When we compared patients with AI > 10 vs AI ≤ 10 %, we found similar reintubation and tracheostomy rates but higher ICU and hospital mortality and a trend toward longer duration of MV in patients with an AI above the cutoff.ConclusionsAsynchronies are common throughout MV, occurring in all MV modes, and more frequently during the daytime. Further studies should determine whether asynchronies are a marker for or a cause of mortality.
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