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Updated: Oct 25, 2025
08:34
Investigation into Deep Breathing through Measurement of Ventilatory Parameters and Observation of Breathing Patterns
Published on: September 16, 2019
11.8K
Breathing variability-implications for anaesthesiology and intensive care
Oscar F C van den Bosch1, Ricardo Alvarez-Jimenez2, Harm-Jan de Grooth2
1Departments of Anesthesiology and Intensive Care, Amsterdam UMC, VUMC, ZH 6F 003, De Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands. o.vandenbosch@amsterdamumc.nl.
Critical Care (London, England)
|August 6, 2021
Summary
Breathing variability, or fluctuations in breathing patterns, is influenced by many factors. Low variability may predict mechanical ventilation weaning failure, impacting anesthesia and intensive care.
Area of Science:
- Physiology
- Respiratory Medicine
- Critical Care Medicine
Background:
- The respiratory system exhibits dynamic adaptability to internal and external stimuli, leading to variations in breathing parameters like rate and volume.
- Breathing variability is affected by physiological states (e.g., sleep) and pathological conditions (e.g., pulmonary diseases, hypoxia, anxiety).
Purpose of the Study:
- To review methods for quantifying breathing variability.
- To summarize factors influencing breathing variability.
- To discuss the clinical implications of breathing variability in anesthesia and intensive care.
Main Methods:
- Literature review of studies on breathing variability quantification.
- Synthesis of research on conditions affecting breathing patterns.
- Analysis of the role of breathing variability in clinical settings.
Main Results:
- Breathing variability is a measurable physiological parameter influenced by diverse factors.
- Low respiratory variability has been linked to increased likelihood of weaning failure from mechanical ventilation.
- Understanding breathing variability is crucial for managing patients in critical care.
Conclusions:
- Breathing variability assessment offers insights into respiratory system function.
- Abnormal breathing variability may serve as a biomarker for specific clinical outcomes.
- Further research into breathing variability can optimize anesthetic and intensive care practices.
Keywords:
Coefficient of variationControl of breathingDetrended fluctuation analysisEntropy analysisPerioperative periodRespiratory variabilitySpontaneous breathing trialSpontaneous respirationMore Related Videos
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