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In the present study, we primarily assessed the magnitude of PVA according to the time spent in asynchrony, because it illustrates well the burden of asynchrony while taking into account different types of patient ventilator conflict [17].
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Up to 25% of patients present some type of asynchrony while on mechanical ventilation [ 39].
While standard schemes can maintain their stability in the presence of asynchrony, their accuracy is drastically affected.
face of asynchrony, concurrency, and partial failure.
The lights were paired with brief, spatially uninformative sounds, with the onsets presented synchronously with the lights or at varying degrees of asynchrony, leading or lagging the lights.
The distribution of asynchrony and the asynchrony index varied according to the method used to quantify asynchronies (Table 28).
In addition, we determined the factors associated with asynchrony and the prognostic impact of asynchrony.
To assess the severity of asynchrony, we used the asynchrony index (AI) [17] (see SDC).
To date, 5 major patterns of asynchrony are described.
However, there is no universal agreement on the definition of these patterns, resulting in heterogeneity of the prevalence of asynchrony and of the association between asynchrony and outcome.
The asynchrony index [18] was defined as the number of asynchrony events divided by the total respiratory rate and expressed in percentage [3].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com