Abstract
During Assisted Mechanical Ventilation the work of breathing is shared between the patient’s muscles and the ventilator. The presence of spontaneous breathing has obvious advantages, but also implies the risk of “patient self-inflicted lung injury” and myotrauma. For this reason, close monitoring of patient’s effort and interaction with the ventilator is mandatory. Esophageal pressure is the gold standard to monitor patient’s work of breathing, transpulmonary pressure, and asynchronies. Alternative techniques to monitor these parameters have also been developed. They rely on either the airway pressure tracing during brief end-expiratory and inspiratory occlusions, electrical activity of the diaphragm, or ultrasound. A wider adoption of these in the clinical practice should proceed along with clinical research, defining the targets to prevent harm and improve patient’s outcome.
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Keywords
During Assisted Mechanical Ventilation, the work of breathing is shared between the patient’s muscles and the ventilator. The steady advancement in technology over the last decades led to the development of several modes of Assisted Ventilation (see Chap. 5), primarily oriented towards improving the patient–ventilator interaction. Assisted ventilation may be applied at different stages of the disease: still in the acute phase, as a transition from controlled ventilation, later on in the weaning phase or chronically.
Allowing a patient to breath spontaneously, while invasively ventilated, has some obvious physiological advantages and it is a step towards re-establishing a completely normal respiratory physiology, when all the work of breathing is supported by the patient’s respiratory muscles. Assisted ventilation, as compared to fully controlled ventilation, is associated with decreased sedation requirement (clearly avoiding muscle paralysis) [1], preserved diaphragmatic trophism and prevention of dysfunction [2, 3]. On the other side, assisted ventilation, not differently from controlled ventilation, can expose the lung parenchyma to excessive stress and strain, leading to lung injury, but with some peculiar mechanisms, which led to the concept of “Patient Self-Inflicted Lung Injury” [4]. The deleterious effects of vigorous inspiratory efforts on lung parenchyma can be summarized as follows [5]:
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1.
Delivery of high tidal volumes, not completely under control of the clinician,
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2.
Local overdistension in the diaphragmatic regions due to pendelluft phenomenon,
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3.
Increase of transmural vascular pressure with increased risk of pulmonary edema,
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4.
Asynchronies, especially breath stacking causing overdistension.
Outside the lung, preliminary evidences are showing that diaphragm injury can occur not only due to inactivity but also to over activity and/or eccentric contraction (myotrauma) [3].
Finally, the changes in intrathoracic pressures due to mechanical insufflation associated to inspiratory efforts can lead, on one hand to improved preload, but, at the same time increased ventricular afterload, with a balance between favorable and adverse hemodynamic effects [6].
Assisted ventilation is very delicate, especially in patients with compromised lungs and it is hence clear how monitoring all the components involved is crucial to take advantage of the benefits while avoiding the risks.
1 Inspiratory Effort
Monitoring the inspiratory effort generated by the patient during assisted ventilation serves multiple purposes. First, it can give an indication of adequacy of the level of respiratory support and of sedation. Second, the change in respiratory effort during a trial of weaning from the ventilator may help in predicting the failure or success of such a trial [7]. Third, an insufficient or excessive level of inspiratory effort is related to diaphragm atrophy or dysfunction [3]. Fourth, in conditions of hemodynamic compromise, the effort done by the inspiratory muscles can be a significant source of oxygen consumption and therefore should be reduced by means of sedation and/or paralysis [8, 9]. Finally, it allows the calculation of the total pressure applied to the respiratory system, as described more in detail in the following.
1.1 Esophageal Pressure Derived Measurements
The measurement of the total work of breathing (WOB) requires an esophageal pressure (Pes) catheter. While the mechanical WOB is formally calculated as the area enclosed in a pressure–volume loop of the respiratory cycle (Campbell diagram, Fig. 6.1a), this does not account for the isometric contraction of the respiratory muscles and the duration of the effort. This limitation is overcome by the esophageal Pressure Time Product (PTPes), which is the integral of the muscular pressure (Pmus) over time (Fig. 6.1b), which correlates well with the energy spent by the inspiratory muscles. Pmus is measured as the difference between the static recoil pressure of the chest wall and the total Pes. Normal values are between 50 and 150 cmH2O*s/min [10].
Despite being less accurate and more simplistic than WOB or PTPes, estimating the inspiratory effort by Pes swing (maximum inspiratory deflection of Pes starting from end expiration) is more feasible at the bedside. Targeting a normal value of maximal inspiratory Pmus of 5 to 10 cmH2O (which, with normally low chest wall elastance, corresponds to a Pes swing of 3 to 8 cmH2O) seems reasonable to avoid excessive lung stress and diaphragm atrophy [11]. A recent study aimed at finding predictors of non-invasive ventilation success or failure, showed that intubation was avoided in those patients in whom the application of non-invasive ventilation led to a significant reduction of Pes swing towards more “physiological” values [12].
1.2 Tidal Volume and Respiratory Rate
Respiratory rate and tidal volume are poor estimates of effort in ventilated patients. They are influenced by respiratory mechanics and respiratory muscle weakness. Also, resting respiratory rate in critically ill subjects is high, does not follow respiratory drive within a wide range (PaCO2 from 23 to 45 mmHg) [13], and is independently modified by other factors [14, 15].
Nonetheless, a respiratory rate lower than 17 during pressure support can diagnose low drive and effort [16]. Increase in tidal volume without changing support reflects higher effort. However, a decrease in effort is not followed by a decrease in tidal volume below a certain threshold during pressure support. The Rapid Shallow Breathing Index (RSBI) combines these variables describing patient’s breathing pattern. It was developed [17] for early prediction of weaning failure during a spontaneous breathing trial on T-piece (value >105 breaths/min/L) and suggestive of a fatiguing breathing pattern [18].
1.3 p0.1
The p0.1 is the drop in pressure generated by the patient in the first 100 ms of an inspiratory effort, during a short airway occlusion. It is an estimate of the patient’s central respiratory drive, because there is no reaction to the mechanical load at the very beginning of an expiratory hold. Moreover, it is independent from airway resistances, because it is measured with zero air flow. Given the inter-breath variability of p0.1, an average of 3–4 measurements should be taken for a correct representation of respiratory drive. P0.1 in healthy subjects is between 0.5 and 1.5 cmH2O [19]. One of the advantages of p0.1 is that it is easily measured by most of the available ICU ventilators either on a breath-to-breath basis (possibly underestimating the real value with large inspiratory efforts) or with a brief expiratory hold. A recent study [20] validated the p0.1 as measured by the commercial ventilators and confirmed its role as a measure of the patient’s respiratory drive and work of breathing. Particularly, a threshold of 1 cmH2O is used to determine a low inspiratory effort (PTP/min < 50 cmH2O*s/min), while a value of p0.1 higher than 3.5 to 4 cmH2O corresponds to a high inspiratory effort (PTP/min > 200 to 300 cmH2O*s/min). Despite no value of high or low p0.1 was clearly correlated to weaning failure, these thresholds can be used in clinical practice to follow the responses in patients’ efforts to change in respiratory support [20].
1.4 Occlusion Pressure
Another indication about the inspiratory effort can be obtained from the inspiratory depression of the airway pressure trace during a longer (as compared to p0.1) expiratory hold (ΔPocc), as shown in Fig. 6.2a. From ΔPocc, an accurate prediction of Pmus is possible through a simple calculation (Predicted Pmus = −3/4*ΔPocc). When performing this simple maneuver at the bedside, an average of three values should be calculated. The target of predicted Pmus for a safe ventilation is the same as for Pmus, 5–10 cmH2O [21].
1.5 Pressure Muscle Index
Inspiratory effort can also be estimated through an inspiratory hold with a technique described in the 1990s [22, 23]. If, during the hold, the patient’s respiratory muscles relax, the pressure that they were generating at end inspiration will be “released” inside the airways and, in a condition of zero flow, will appear as an additional pressure on the airway pressure tracing, in the form of a plateau pressure (Fig. 6.2b), which, as better outlined below, is required to be flat, in order to be “readable.” The difference between the plateau and the peak pressure, the so-called Pressure Muscle Index (PMI), was shown to tightly correlate with the muscular pressure at end inspiration as measured by a Pes catheter [23].
1.6 Diaphragm Electrical Activity
The electrical activity of the crural diaphragm (Edi) can be monitored with a feeding tube arranged with eight electrodes on its distal end: while mainly devised to provide Neurally Adjusted Ventilatory Assist (Chap. 7), this is also a valuable monitoring tool. As compared to monitoring the flow and pressure tracings on the ventilator, the electrical activation of the diaphragm is obviously closer in time to the output of the respiratory centers, being a measure of respiratory drive [24]. Edi was shown to tightly correlate with transdiaphragmatic pressure and to change proportionally with the level of respiratory assist [25]. Eadi can be used to evaluate “graphically” the patient presence of asynchronies [26], intrinsic PEEP [27], reverse trigger [28] as also shown in Chap. 37. Moreover, it has been suggested that the ratio between the drop in airway pressure and Eadi during one expiratory occlusion (sometimes named Neuro-Muscular Efficiency) allows to translate the Edi value into Pmus during regular tidal ventilation [29], as depicted in Fig. 6.3.
2 Total Pressure Distending the Respiratory System
During assisted ventilation, both the positive pressure imposed by the ventilator (set by the clinician) and the negative pressure generated by the patient’s muscles contribute to overcome the resistive and elastic pressures of the respiratory system, leading to increase in lung volume. Hence considering only the pressures displayed on the ventilator screen (peak pressure and PEEP) does not provide a truthful representation.
The patient inspiratory effort determines the amount of negative pleural pressure generated in every breath, which “pulls” the alveoli from outside. A direct measurement of this pressure is provided by a Pes catheter, surrogating pleural pressure. Transpulmonary pressure (PL) is the difference between Paw and Pes and it estimates the stress applied on the alveoli at any given moment. An experimental study [30] clearly showed that strong inspiratory efforts worsen lung injury despite limiting the positive pressure imposed by the mechanical ventilator to lower than 30 cmH2O, demonstrating that a component of the pressure equation is hidden to the clinician only monitoring the instantaneous Paw shown by the ventilator.
Many factors though should be taken into consideration when using PL as a measure for lung stress.
Dynamic PL is the maximum PL during an inspiratory effort. This value also includes the pressure generated to overcome the airflow resistance. While on one hand the resistive component is not dissipated across the alveolar wall, it may lead to absolute negative value alveolar pressure, possibly injurious. Moreover, PL is normally calculated under static conditions during controlled ventilation and this should be taken into account when comparing assisted versus controlled ventilation [31]. Finally, PL is a global measurement and does not reflect regional differences in lung properties, which might lead to regional heterogeneity, as outlined below.
Safe limits for PL during spontaneous breathing are not fully established yet, but a ΔPL of 15 cmH2O has been suggested as threshold not to be exceeded for a safer Assisted ventilation [11].
While the Pes catheter is the most direct way of estimating PL, it must be recognized that its use in clinical practice is not widespread.
Alternative methods of estimating the total pressure distending the respiratory system have been developed, by means of the mechanical ventilator tracings.
The inspiratory hold described above, and shown in Fig. 6.2b as a means of measuring PMI reveals a plateau pressure which can be higher than the airway peak pressure, since it includes both the pressure generated by the ventilator plus the muscular pressure released by the inspiratory muscles [32,33,34]. This Plateau pressure has exactly the same meaning as when measured during controlled ventilation, allowing to compute static Driving Pressure (Plateau Pressure-PEEP). Intuitively, performing an inspiratory hold during Assisted ventilation is more complex and uncertain than in passive conditions, because the patient’s muscles are active and the plateau would not be reliable in the absence of relaxation. Approximately 20% of patients will have unreadable traces during Assisted ventilation, especially the ones with higher respiratory drive [33, 34]. Safe limits for driving pressure during assisted ventilation are not established yet, but its correlation with outcome in a small retrospective study supports using the same threshold used in controlled ventilation (<15 cmH2O, the lower the better) [35]. Even if some expiratory muscle activity cannot be excluded in the presence of a flat plateau [36], this would cause an over estimation of the driving pressure, which, if anything, leads to set a safer rather than less safe ventilation.
ΔPocc, the difference between PEEP and the lowest value of Paw reached during an expiratory hold (described above as a way of predicting Pmus), can be used also to estimate the transpulmonary dynamic driving pressure. This maneuver is technically easier to perform than the inspiratory hold, because it does not require any post hold interpretation of the ventilator trace. An estimation of transpulmonary dynamic driving pressure can be made through a calculation from ΔPocc:
Predicted Dynamic transpulmonary driving pressure = (Peak airway pressure – PEEP) – 2/3 ΔPocc.
The AUROC for this predicted pressure to estimate an excessive dynamic transpulmonary driving pressure was >0.9 [21].
It is important to keep in mind that the measurement of plateau pressure and of ΔPocc provide to the clinician complementary information, so measuring both of them, especially in the absence of a Pes catheter, can allow a more complete description of the respiratory mechanics. Indeed, a recent study conducted in an experimental model of mild ARDS showed that a higher TV and DPaw, and not a higher dynamic driving pressure, were associated with worse lung and diaphragmatic injury [37].
3 Asynchronies
Asynchronies happen when the inspiratory and expiratory times of the patient and of the ventilator are partly or entirely not matched. Asynchronies are a common problem, affecting up to one-third of the patients [38], and a multicenter study (BEARDS, NCT03447288) specifically looking at the incidence of asynchronies during mechanical ventilation for ARDS is currently ongoing. Some studies showed an association between the incidence of asynchronies and outcomes (duration of mechanical ventilation, ICU mortality) [39,40,41]. While, on one side asynchronies might be a marker of more severe lung disease, and not a direct cause of worse outcomes, they can be associated with patient discomfort and cause an increase in the sedation administered [38]. It is important for the clinician at the bedside to recognize asynchronies when these happen and try to optimize the ventilator settings in order to reduce their incidence. Automated tools to recognize asynchronies and quantify their burden have been developed [42]. The most common asynchrony is ineffective triggering, occurring when the patient inspiratory effort fails to trigger the ventilator, because the pressure or flow generated by the muscles are not enough to overcome the trigger threshold. This can be a sign of muscle weakness or of the presence of intrinsic PEEP, which can be monitored either by Pes or Edi since, the presence of expiratory muscles activity does not allow to measure auto-PEEP through an expiratory hold during assisted ventilation. The decrease in Pes or the increase in Edi before the beginning of the inspiratory flow allow to estimate the amount of pressure that the inspiratory muscles have to overcome before being able to trigger the ventilator [27]. Another common asynchrony is double trigger or double cycling: this happens when the ventilator inspiratory time is shorter than the patient inspiratory time and the patient triggers another breath before a complete exhalation has happened [42]. It can cause the so-called breath stacking, meaning that the total tidal volume delivered is higher than intended and can lead to lung overdistension [43]. Lastly, auto-trigger is a breath delivered by the ventilator in the absence of patient’s effort, triggered by cardiac oscillations or air leak. It can also lead to breath stacking. A more complete list of asynchronies can be found in [38]. The recognition of asynchronies is made easier in the presence of a Pes catheter or an Edi monitor. Both of them allow a direct visualization of the patient muscular activity, its intensity and its timing during the ventilator respiratory cycle [8,9,10]. In the absence of these monitors, the clinician should pay attention to the airway pressure and show waveforms on the ventilator, to identify the presence of asynchronies. Chapter 39 contains several images of asynchronies to allow the reader to familiarize more with this very common problem.
4 Distribution of Ventilation and Pendelluft
As already mentioned, Paw and Pes tracings allow a global monitoring of pressure distending the respiratory system, without discriminating between different regions. While normal lungs have a fluid-like behavior, with even distribution of the pressure generated by inspiratory muscles throughout the parenchyma, injured lungs show a “solid-like” behavior [44]. This means that some areas would not inflate and some other would be overdistended once exposed to the same distending pressure. As a consequence, a “pendelluft” phenomenon can develop as shown in Fig. 6.4. This is the movement of tidal volume inside the lung between zones with different time constants and it is not identified by the change in ventilator tracings nor by monitoring PL. It can lead to regional overdistension of inflated lung regions [45, 46]. Electrical Impedance Tomography (EIT) is a bedside monitoring tool that allows to visualize the differences in ventilation among different lung regions (see Chap. 33). EIT is the only monitor able to identify the presence of pendelluft phenomenon, visualized as the inflation of some lung regions while others are deflating [45]. This phenomenon was shown to increase with decreasing ventilatory support and is associated with ineffective ventilation and possible local overdistension [46]. Moreover, EIT may provide useful information in regard to changes in distribution of regional ventilation caused by breathing efforts [47].
5 Evaluation of Respiratory Muscles Activity by Ultrasound
Respiratory muscles ultrasound is a newer and rapidly evolving way to monitor the spontaneously breathing patients [48]. Diaphragm thickness and function have been extensively studied and also shown to correlate with outcome [2]. Taking advantage of the non-invasive and bedside availability of the technique, accessory inspiratory muscle and abdominal muscles have been the subject of more recent studies [49]. More details about respiratory muscles ultrasound are available in Chap. 32.
6 Conclusion
Several data, made available over the last decade, allow a better understanding of the benefits and risks inherent to allowing spontaneous breathing and the crucial role of patient’s effort. In addition to esophageal pressure, several techniques are readily available at the bedside. A wider adoption of these in the clinical practice should proceed along with clinical research, defining the targets to prevent harm and improve patient’s outcome.
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Grassi, A., Telias, I., Bellani, G. (2022). Monitoring the Patient During Assisted Ventilation. In: Bellani, G. (eds) Mechanical Ventilation from Pathophysiology to Clinical Evidence. Springer, Cham. https://doi.org/10.1007/978-3-030-93401-9_6
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