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Using waveforms to indentify asynchronies - Step 1

Article

Author: Branka Cupic, Caroline Brown

Date of first publication: 29.06.2022

The first step to identifying asynchronies using standard ventilator waveforms is knowing what a synchronous breath looks like during pressure-support ventilation.

Using waveforms to indentify asynchronies - Step 1

Systematic method of waveform analysis

A recent study showed that clinicians can use the analysis of standard ventilator waveforms to detect respiratory activity and asynchronies between the patient and ventilator with high sensitivity and specificity (Mojoli F, Pozzi M, Orlando A, et al. Timing of inspiratory muscle activity detected from airway pressure and flow during pressure support ventilation: the waveform method. Crit Care. 2022;26(1):32. Published 2022 Jan 30. doi:10.1186/s13054-022-03895-41​). The authors applied a systematic method that was based on the following principles.

  • In a patient with a normal breathing pattern, inspiration is active and expiration is passive
  • Exponential decay of flow indicates a passive condition (for both inspiratory and expiratory flow)
  • In the case of synchronous pressure-support ventilation, passive conditions should only be observed during the ventilator’s expiratory phase
  • Passive conditions during the ventilator’s inspiratory phase indicate auto-triggering or delayed cycling
  • Deviations from passive conditions during the ventilator’s expiratory phase indicate trigger delay, ineffective efforts, early cycling or respiratory muscle activation

Around these principles, the authors created a set of pre-defined rules that they applied systematically to detect the patient’s respiratory activity and identify asynchronies from the airway pressure and flow waveforms. Esophageal pressure (Pes) was used as a reference.

In this bedside tip, we start with a normal breath and how to recognize good synchrony between the patient and ventilator. In future Bedside tips, we will show you how to identify the most common minor and major asynchronies.

What is exponential decay?

An important part of being able to identify the beginning and end of the patient's inspiratory effort is recognizing exponential decay of flow. An exponential change describes the process whereby an amount decreases or increases by a consistent percentage rate over a period of time (i.e., the rate of change is proportional to its current value). It occurs in many physical situations.

As described in the principles above, exponential decay of flow suggests a passive condition. The shape on the waveform will be different, depending on whether, after the initial peak flow, it is a decrease in inspiratory flow (Figure 1 - left panel) or expiratory flow (Figure 1 - right panel).

Graphs showing exponential change with decrease (left) and increase (right)
Figure 1: Two examples of exponential change
Graphs showing exponential change with decrease (left) and increase (right)
Figure 1: Two examples of exponential change

Exponential decay during inspiration and expiration

Figure 2 shows two instances of exponential decay:
a) During inspiration: This is not normal during pressure-support ventilation, as inspiration should be active.
b) During expiration: This is as expected, as expiration is passive.
N.B.: The inspiration shown below is intially active and then becomes passive. The change between the two phases is evident from the change of slope on the waveform.

Diagram showing exponential decay during inspiration and expiration
Figure 2: Exponential decay of flow (Image modified from Mojoli et al. Critical Care (2022) 26:32)
Diagram showing exponential decay during inspiration and expiration
Figure 2: Exponential decay of flow (Image modified from Mojoli et al. Critical Care (2022) 26:32)

Inspiratory effort

Identifiying the start of an inspiratory effort (Figure 3)
On the pressure and flow waveforms, the start of the patient’s inspiratory effort is indicated by:
a) a sudden negative deflection of Paw interrupting a phase of stable airway pressure
b) a sudden positive deflection of Flow interrupting a phase of exponential decay

Identifiying a well-synchronized end of inspiration (Figure 4)


The inspiratory flow profile shows an upwards convexity after the peak, with flow dropping more and more quickly. When the inspiratory effort is close to its end, flow crosses the zero line and moves straight towards its expiratory peak. This is then followed by exponential decay.

Diagrams representing pressure and flow waveforms showing start of inspiration
Figure 3: The start of an inspiratory effort on pressure and flow waveforms (Image modified from Mojoli et al. Critical Care (2022) 26:32)
Diagrams representing pressure and flow waveforms showing start of inspiration
Figure 3: The start of an inspiratory effort on pressure and flow waveforms (Image modified from Mojoli et al. Critical Care (2022) 26:32)
Diagrams representing pressure and flow waveforms showing end of inspiration
Figure 4: A synchronized end of inspiration on the flow waveform (Image modified from Mojoli et al. Critical Care (2022) 26:32)
Diagrams representing pressure and flow waveforms showing end of inspiration
Figure 4: A synchronized end of inspiration on the flow waveform (Image modified from Mojoli et al. Critical Care (2022) 26:32)

The Pes waveform

As shown above,  it is possible to identify the start and end of an inspiratory effort without needing the Pes waveform. In the above-mentioned study, it was used as a reference to assess the accuracy of the waveform analysis. Below you can see the beginning and end of inspiration on the Pes waveform and the excellent agreement between Pes and the flow and pressure waveforms.

On the Pes reference waveform (shown in green), the start of the patient’s inspiratory effort is indicated by a sudden negative deflection on the Pes curve (see Figure 5).

The steep rise in both pressure and flow soon after indicates the start of the mechanical breath.

If the time gap between the two is very short, patient and ventilator are in synchrony. A longer gap (e.g., > 250 milliseconds) is considered a trigger delay.

Figure 6 shows the fast increase in Pes after its nadir that corresponds to the relaxation of the inspiratory muscles: its midpoint is the reference for the end of inspiration.

Diagrams representing pressure, flow, and Pes waveforms showing start of inspiration
Figure 5: The start of inspiration on the Pes waveform (Image modified from Mojoli et al. Critical Care (2022) 26:32)
Diagrams representing pressure, flow, and Pes waveforms showing start of inspiration
Figure 5: The start of inspiration on the Pes waveform (Image modified from Mojoli et al. Critical Care (2022) 26:32)
Diagrams representing pressure, flow, and Pes waveforms showing end of inspiration
Figure 6: The end of inspiration on the Pes waveform (Image modified from Mojoli et al. Critical Care (2022) 26:32)
Diagrams representing pressure, flow, and Pes waveforms showing end of inspiration
Figure 6: The end of inspiration on the Pes waveform (Image modified from Mojoli et al. Critical Care (2022) 26:32)
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Timing of inspiratory muscle activity detected from airway pressure and flow during pressure support ventilation: the waveform method.

Mojoli F, Pozzi M, Orlando A, et al. Timing of inspiratory muscle activity detected from airway pressure and flow during pressure support ventilation: the waveform method. Crit Care. 2022;26(1):32. Published 2022 Jan 30. doi:10.1186/s13054-022-03895-4



BACKGROUND

Whether respiratory efforts and their timing can be reliably detected during pressure support ventilation using standard ventilator waveforms is unclear. This would give the opportunity to assess and improve patient-ventilator interaction without the need of special equipment.

METHODS

In 16 patients under invasive pressure support ventilation, flow and pressure waveforms were obtained from proximal sensors and analyzed by three trained physicians and one resident to assess patient's spontaneous activity. A systematic method (the waveform method) based on explicit rules was adopted. Esophageal pressure tracings were analyzed independently and used as reference. Breaths were classified as assisted or auto-triggered, double-triggered or ineffective. For assisted breaths, trigger delay, early and late cycling (minor asynchronies) were diagnosed. The percentage of breaths with major asynchronies (asynchrony index) and total asynchrony time were computed.

RESULTS

Out of 4426 analyzed breaths, 94.1% (70.4-99.4) were assisted, 0.0% (0.0-0.2) auto-triggered and 5.8% (0.4-29.6) ineffective. Asynchrony index was 5.9% (0.6-29.6). Total asynchrony time represented 22.4% (16.3-30.1) of recording time and was mainly due to minor asynchronies. Applying the waveform method resulted in an inter-operator agreement of 0.99 (0.98-0.99); 99.5% of efforts were detected on waveforms and agreement with the reference in detecting major asynchronies was 0.99 (0.98-0.99). Timing of respiratory efforts was accurately detected on waveforms: AUC for trigger delay, cycling delay and early cycling was 0.865 (0.853-0.876), 0.903 (0.892-0.914) and 0.983 (0.970-0.991), respectively.

CONCLUSIONS

Ventilator waveforms can be used alone to reliably assess patient's spontaneous activity and patient-ventilator interaction provided that a systematic method is adopted.

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