What is a normal work of breathing number on a Servo-i (Servo ventilator) for a patient on a set rate?

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Normal Work of Breathing Values on Servo-i Ventilator with Set Rate

For patients on a Servo-i ventilator with a set rate, the normal work of breathing (WOB) value typically ranges between 0.3-0.7 joules per liter (J/L), with values above 0.8 J/L suggesting excessive patient effort that may require adjustment of ventilator settings. 1

Understanding Work of Breathing Measurement

  • Work of breathing represents the energy expenditure required for a patient to breathe and is a key parameter for assessing respiratory muscle activity during mechanical ventilation 1
  • On the Servo-i ventilator, WOB is derived from pleural pressure changes and knowledge of the passive properties of the chest wall 2
  • Two main variables can be derived for respiratory effort assessment: work of breathing (WOB) and pressure-time product (PTP) 2
  • WOB is measured from pressure-volume loops using the Campbell diagram method 2

Interpreting WOB Values on Servo-i

  • Values below 0.3 J/L typically indicate minimal patient effort, potentially suggesting over-support 1
  • Values between 0.3-0.7 J/L represent normal work of breathing for most patients on a set rate 1
  • Values between 0.7-1.0 J/L suggest increased work that may be appropriate during weaning trials but concerning if persistent 1
  • Values above 1.0 J/L indicate excessive work that may lead to respiratory muscle fatigue 1

Factors Affecting WOB Measurements

  • Intrinsic PEEP (PEEPi) increases WOB by requiring additional effort to trigger the ventilator 1
  • Patient-ventilator asynchrony can significantly increase WOB values 1
  • High inspiratory drive (P0.1 >4.2 cm H2O) is associated with lower ventilator-provided work (WOBv) and higher patient effort 3
  • The presence of an endotracheal tube adds significant work of breathing, which varies with tube diameter and flow rates 4

Clinical Applications of WOB Monitoring

  • High WOB values may predict weaning failure, while appropriately low values suggest readiness for ventilator discontinuation 2, 1
  • WOB assessment helps clinicians optimize ventilator settings to reduce respiratory muscle fatigue 1
  • Monitoring WOB allows for comparison of different modes of assisted ventilation and quantification of patient effort 1
  • Different ventilator algorithms respond differently to increasing patient effort, with some allowing the patient to assume all WOB and others providing a minimum level regardless of effort 5

Optimizing Ventilator Settings Based on WOB

  • Shortening inspiratory rise time can be more effective than raising pressure support to preserve inspiratory assistance at high inspiratory drive 3
  • Increasing initial inspiratory flow can reduce pressure-time product more effectively than raising pressure support levels 3
  • When comparing different ventilators at similar settings, the Servo ventilator has demonstrated comparable or better WOB values compared to other systems 6

Common Pitfalls in WOB Measurement

  • Expiratory muscle activity may increase measurement variability and generate unreliable values 2
  • Failure to account for PEEPi when measuring WOB can lead to underestimation of respiratory effort 1
  • WOB measurement does not allow quantification of isometric efforts or inefficient inspiratory efforts that fail to trigger the ventilator 2
  • Measurement of WOB is probably inadequate for comparing settings where part of the change in tidal volume is achieved by the ventilator 2

Professional Medical Disclaimer

This information is intended for healthcare professionals. Any medical decision-making should rely on clinical judgment and independently verified information. The content provided herein does not replace professional discretion and should be considered supplementary to established clinical guidelines. Healthcare providers should verify all information against primary literature and current practice standards before application in patient care. Dr.Oracle assumes no liability for clinical decisions based on this content.

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