Key result
Breathing variability is altered by various conditions such as sleep, age, and pulmonary diseases, and low respiratory variability may predict weaning failure during mechanical ventilation.
Why the study?
Breathing variability is influenced by multiple conditions and recent studies suggest low respiratory variability may predict weaning failure during mechanical ventilation.
Breathing variability is influenced by various physiological and pathological states, and its quantification may have implications for predicting outcomes like weaning failure in intensive care.
Quantifying breathing variability may aid weaning predictions in ICU; leaves open whether it should guide ventilation or change practice.
The respiratory system reacts instantaneously to intrinsic and extrinsic inputs. This adaptability results in significant fluctuations in breathing parameters, such as respiratory rate, tidal volume, and inspiratory flow profiles. Breathing variability is influenced by several conditions, including sleep, various pulmonary diseases, hypoxia, and anxiety disorders. Recent studies have suggested that weaning failure during mechanical ventilation may be predicted by low respiratory variability. This review describes methods for quantifying breathing variability, summarises the conditions and comorbidities that affect breathing variability, and discusses the potential implications of breathing variability for anaesthesia and intensive care.
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Bosch et al. (2021) conducted a review in Respiratory variability in anesthesia and intensive care. Respiratory variability monitoring was evaluated. Breathing variability is altered by various conditions such as sleep, age, and pulmonary diseases, and low respiratory variability may predict weaning failure during mechanical ventilation.
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