American Journal of Respiratory and Critical Care Medicine

Assisted/supported modes of mechanical ventilation offer significant advantages over controlled modes in terms of ventilator muscle function/recovery and patient comfort (and sedation needs). However, assisted/supported breaths must interact with patient demands during all three phases of breath delivery: trigger, target, and cycle. Synchronous interactions match ventilator support with patient demands; dyssynchronous interactions do not. Dyssynchrony imposes high pressure loads on ventilator muscles, promoting muscle overload/fatigue and increasing sedation needs. On current modes of ventilation there are a number of features that can monitor and enhance synchrony. These include adjustments of the trigger variable, the use of pressure versus fixed flow targeted breaths, and a number of manipulations of the cycle variable. Clinicians need to know how to use these modalities and monitor them properly, especially understanding airway pressure and flow graphics. Future strategies are emerging that have theoretical appeal but they await good clinical outcome studies before they become commonplace.

Mechanical ventilatory support can be controlled entirely by the ventilator (controlled ventilation in a passive patient) or can interact with patient breathing efforts (assisted/supported ventilation in an active patient) (1). Controlled mechanical ventilation provides a clinician-set ventilatory pattern and minute ventilation but often requires heavy sedation or even neuromuscular blockade to silence ventilatory muscle activity. Unfortunately, silent ventilatory muscles are at risk for the oxidative stress, muscle atrophy, and proteolysis with loss of force-generating capacity that are characteristic of ventilatory-induced diaphragmatic dysfunction (2, 3). Moreover, heavy sedation use that may be required with controlled ventilation has been shown to lengthen the need for mechanical ventilation (4, 5).

In contrast, assisted/supported ventilation is designed to interact with patient muscle activity and “share” the work of breathing (68). If properly done, assisted/supported ventilation facilitates ventilatory muscle recovery and generally requires less sedation (79). For this to occur, however, the ventilator’s flow and pressure delivery must synchronize with patient effort during all three phases of breath delivery: breath initiation, flow delivery, and breath termination. Synchronous support means that the ventilator’s timing and pressure–flow delivery respond promptly to patient effort, provide pressure and flow that avoid excessive muscle loading, and terminate when patient effort ends. Dyssynchronous interactions can overload ventilatory muscles (“imposed” loads), compromise alveolar ventilation, overdistend alveolar units, disrupt sleep patterns, and cause patient discomfort prompting additional sedation. Importantly, dyssynchronies can result from either inappropriate patient ventilatory drive or suboptimal ventilator settings (or both) (7).

The remainder of this article focuses on four aspects of patient–ventilator interactions: (1) a brief review of the spontaneous breathing pattern and how the central ventilatory controller (neural drive) is impacted by respiratory failure and mechanical ventilatory support; (2) a brief review of ventilatory muscle physiology and the relationship between loading and function in the context of assisted ventilation; (3) a discussion on clinical manifestations of synchronous and dyssynchronous interactive breaths; and (4) a review of basic and advanced features of modern mechanical ventilators designed to enhance synchronous patient–ventilator interactions.

The ventilatory pattern (tidal volume [Vt], rate, and inspiratory-to-expiratory ratio) is controlled by a collection of neurons located in the brainstem (ventilatory control center). This center has an inherent respiratory rhythm generator that interacts with several inputs. Two important series of inputs come from chemoreceptors (Po2, Pco2, and pH receptors) located in the great vessels and fourth ventricle of the brain; and from mechanoreceptors (i.e., stretch and irritant receptors) in the thorax and ventilatory muscles (1015). The ultimate ventilatory pattern generated by the normal ventilatory control center is generally the one that provides adequate gas exchange (i.e., a physiologic pH and a Po2 that fully saturates hemoglobin) with the least amount of ventilatory muscle loading and air trapping (16). Cortical inputs (e.g., pain, anxiety, stress, artificial airway presence) can also influence this pattern—usually stimulating overall ventilatory drive (10, 11). In contrast, drugs (e.g., sedatives, opioids) and CNS injuries may often depress the overall ventilatory drive. The sleep state can also modulate these responses (10, 11).

The ability of mechanical ventilatory support to provide adequate gas exchange can have profound effects on the ventilatory controller. Increased metabolic demands, acidosis, and hypoxemia all stimulate the ventilatory controller to increase minute ventilation (1015). The effectiveness of mechanical ventilatory support in addressing these metabolic derangements will clearly modulate these responses.

Mechanical ventilatory support can also affect the ventilatory controller through its effects on muscle loading (1015). Delayed or missed triggers are sensed as an uncomfortable isometric load leading to increased effort intensity and pronounced dyspnea. If excessive muscle loading is sensed during flow delivery, this usually leads to alterations in the spontaneous ventilatory pattern to reduce this loading (e.g., rapid shallow breathing) and also is often accompanied by dyspnea (1015, 17). Mechanoreceptors can also sense overventilation and overdistention, which often lead to shortening of neural inspiratory time (Ti) and even activation of expiratory muscles (14). It must also be remembered that modes of ventilatory support that provide more than one breath type (e.g., intermittent mandatory ventilation or IMV modes) may have additional effects on the ventilatory control center. Specifically, IMV modes do not allow the patient’s ventilatory control center to accurately anticipate the loading pattern of the next breath, and thus adapting to the applied pattern of support may be more difficult to achieve (7, 18, 19).

The timing of set or controlled mechanical breaths can also affect the ventilatory control center. Often a mechanical breath will suppress the generation of spontaneous breaths (10, 15). However, the observation has also been made that “entrainment” can occur during controlled mechanical ventilatory support (2022). Entrainment is the phenomenon of a machine-triggered mechanical breath eliciting a spontaneous effort. This appears to be mediated through vagal pathways and mechanical stretch receptors, often occurring in heavily sedated patients with high control breath rate settings (20). Entrainment can occur with every control breath or, less commonly, in 1:2 or 1:3 relationships with the control breaths. Moreover, entrainment can be present for varying periods of time. The induced effort from entrainment can result in an augmented Vt if it occurs before the end of a pressure-targeted assisted breath. However, if it occurs after the termination of either a pressure- or a flow-targeted breath, it can trigger a second breath.

Ventilator breath cycling criteria can also impact the ventilatory control center (10, 15, 23, 24). A mechanical breath termination shorter than the neural Ti (machine Ti < neural Ti) can lead to muscle activity beyond the machine’s flow delivery phase, which can lead to high muscle loading, excessive Vts, and/or triggering of a second breath. In contrast, when mechanical breath cycling terminates after the inspiratory effort has ended (machine Ti > neural Ti), dyspnea and expiratory muscle recruitment may occur in an effort to terminate the breath.

Finally, it is worth noting that because dyssynchronous interactions often result in anxiety and dyspnea, which can stimulate overall ventilatory drive, improving synchrony in one area (e.g., triggering) can help facilitate achieving synchrony in other areas (e.g., flow demand) (18).

The most significant and well studied of the muscles of ventilation is the diaphragm. This musculotendinous sheet of skeletal muscle separating the thoracic and abdominal cavities is the primary muscle of ventilation and most used skeletal muscle (25). Although many of the physiologic principles of skeletal muscle can be applied to the diaphragm, including the length–tension relationship, unique adaptations exist. Compared with limb muscles, the diaphragm has a greater proportion of fatigue-resistant type I muscle fibers with increased mitochondrial density, oxidative capacity, and maximal oxygen consumption (25, 26). These smaller muscle fibers have an increased capillary density that facilitates more efficient O2 diffusion and are further fueled by the potential to augment blood flow up to four times that of limb muscles while shifting regional blood supplies from other skeletal muscle beds (26).

Lung inflation occurs when a sufficient force is generated to overcome the various elastic and resistive loads to effect gas delivery to the alveoli (27). This is largely accomplished by the diaphragm through its piston-like action that expands the thorax and pushes abdominal contents away. In addition, ventilatory demands recruit the external intercostals and accessory muscles of inspiration, which have similar adaptations, to support the diaphragm by lifting and expanding the rib cage (25). Importantly, the role of the intercostal muscles in supporting ventilation is diminished in the supine position (25).

The simplified equation of motion defines the necessary pressure (Ptot) required to overcome the loads of respiratory system elastic recoil (Pel) and airway resistance (Pres) for a given flow (V.) and volume change (ΔV):

Ptot=Pel+Pres(1)
Ptot=(ΔV/Crs)+(R×V.),(2)
where Crs is respiratory system compliance, and R is airway resistance (27). Individual contributions of inertness and lung tissue resistance are also present but are small and generally disregarded. When present, overcoming intrinsic positive end-expiratory pressure (PEEP) also contributes to the pressure requirements to breathe. Note that Ptot can be supplied entirely by the ventilatory muscles (Pmus) during unassisted breathing or by the mechanical ventilator (Pv) during controlled mechanical ventilation. With interactive breaths Ptot has contributions from both.

Ventilatory muscle failure can be defined as the loss of the ability of ventilatory muscles to generate force (Pmus) in response to these loads to adequately provide for the patient’s ventilatory needs. Ventilatory muscle failure with its ensuing alveolar hypoventilation and hypercapnic respiratory failure is thus ultimately related to an imbalance in ventilatory muscle capabilities versus the demands placed on those muscles (28, 29). Ventilatory muscle capabilities are determined by inherent strength and endurance properties, which can be profoundly diminished in critically ill patients with metabolic derangements associated with the systemic inflammatory response syndrome (3032). Capabilities can also be diminished as a consequence of lung hyperinflation, literally flattening the diaphragm and thereby placing it at a substantial mechanical disadvantage through an unfavorable length–tension relationship (26). Limitations in energy supply imposed by hypoperfusion, anemia, hypoxia, malnutrition, or the inability to extract oxygen such as is seen in sepsis and cyanide poisoning also predispose to ventilatory muscle failure (29, 32, 33). Weak muscles are also less efficient and require more energy in relation to their maximal energy consumption to perform a given task (30).

Increases in ventilatory muscle demands result primarily from increased mechanical loads resulting from abnormal respiratory system mechanics (including assuming the supine position) and/or increased ventilation needs (2831). Dyssynchronous patient–ventilator interactions can also result in imposed loads on the muscles. Mechanical loads can be described as a single value, work (W), or as a pressure–time product (PTP) (28). Work is the integral of pressure over change in volume and PTP is the integral of pressure over Ti. PTP, with its reliance on the pressure–time component of loading, correlates better with ventilatory muscle energetics and O2 consumption than work does, and is increasingly used clinically to measure the energy demands on ventilatory muscles (3436).

Assessing required pressure as a fraction of maximal pressure-generating capabilities and coupling this with the fraction of the ventilatory duty cycle devoted to muscle contraction (Ti/Ttot) has led to the concept of the pressure–time index (PTI):

PTI=(PI/PImax)(TI/Ttot),(3)
where Pi/Pimax is the mean inspiratory pressure required per breath/maximal inspiratory pressure (34). In a normal subject at rest PTI values are generally less than 0.05 and even at high levels of exercise rarely exceed 0.1. However, PTI values greater than 0.15 for the diaphragm and 0.3 for rib cage muscles are related to the development of ventilatory muscle failure (34).

All of the components of the PTI are likely abnormal in patients with respiratory failure. In patients with high resistive loads such as chronic obstructive pulmonary disease, asthma, and/or large airway obstructions; or high elastic loads such as interstitial lung disease, cardiogenic pulmonary edema, and/or acute respiratory distress syndrome (ARDS) the required ventilatory pressures (Pi) can be substantial. As discussed more below, the imposed loads from dyssynchronous interactions in critically ill patients can also contribute to a need for a high Pi. A low Pimax reflects the reduced capabilities of ventilatory muscles in the setting of critical illness noted previously. Finally, in acute respiratory failure, the higher minute ventilation requirement may be associated with an increased Ti (larger Vt) and shortened Ttot (faster respiratory rate). This combination can greatly increase Ti/Ttot.

Taken together, the components of the PTI often change unfavorably in the setting of acute respiratory failure and likely contribute to ventilatory muscle failure. Thus, management of such patients should address all of these factors: minimize disease-imposed loads, minimize ventilator-imposed loads, minimize excessive ventilation demands, minimize inappropriate ventilation patterns produced by patient dyspnea/discomfort, and maximize support of muscle metabolic function. Discussing all of these is beyond the scope of this article. Instead, the final two sections below focus specifically on the role and management of ventilator-induced imposed loads during patient–ventilator interactions.

Interactive breaths can be described as assisted (patient-triggered and time- or volume-cycled breaths) or supported (patient-triggered and flow-cycled breaths). Assisted/supported ventilator breaths interact with patient efforts during all three breath phases: initiation (trigger), gas delivery (target), and termination (cycling) (7). The dyssynchronies associated with each of these phases (Table 1) are discussed below.

TABLE 1. PATIENT–VENTILATOR DYSSYNCHRONIES

PhenomenonSpecific Clinical Characteristics*Possible Interventions
During triggering phase
 Delayed/missed triggersPaw, Pes, flow tracings show delayed/absent response to effortMore sensitive and/or responsive trigger settings
  Insensitive and/or unresponsive systems 
  Intrinsic PEEP (PEEPi)Paw, Pes, flow tracings show delayed/absent response to effort, Pes presence of PEEPi, expiratory flow never reaches 0Reduce PEEPi Balance PEEPi with PEEPe
 Extratriggering  
  AutocyclingExtra breaths triggered by artifacts (cardiac, circuit motion)Less sensitive settings
  EntrainmentEfforts triggered by controlled inflations, can add to Vt with pressure target breathsFewer controlled breaths, less sedation (?)
  Premature cycling of patient-triggered breathPersistent effort in setting of premature breath cycling initiates second breathLengthen cycle criteria (volume, time, flow)
During flow delivery phase
 Inadequate flowExcessive effort during breath, Paw “sucked down,” high Pes PTP during assisted breath, inadequate Vt with pressure target breathsIncrease flow, change flow pattern, use variable flow (pressure targeting), pressure rise time increase
Address excessive drive
 Excessive flowExpiratory efforts to terminate breath, higher Vt with pressure target breaths, reflex neural Ti shorteningReduce set flow or pressure target or pressure rise time
During cycling phase
 Neural Ti > machine TiEffort continues despite breath termination, Paw “sucked down,” can trigger second breathLengthen cycle criteria (volume, time, flow)
Address excessive drive (including entrainment)
 Machine Ti > neural TiExpiratory effort to terminate breathShorten cycle criteria (volume, time, flow)
Address depressed drive

Definition of abbreviations: Paw = airway pressure; PEEPi and PEEPe = intrinsic and extrinsic or set positive end-expiratory pressure, respectively; Pes = esophageal pressure; PTP = pressure–time product; Ti = inspiratory time; Vt = tidal volume.

* General signs of dyssynchrony include respiratory distress, diaphoresis, tachycardia, anxiety.

If present.

Breath Triggering

Trigger dyssynchrony is of two types. The first is missed or delayed triggering. One cause for this is an insensitive or poorly responsive triggering system. On most ventilators a patient’s effort is sensed through either a drop in circuit pressure (pressure trigger) or a change in a circuit bias flow (flow trigger) (37, 38). Inherent in all patient-triggering systems is a built-in insensitivity to prevent autotriggering (see below). There are also mechanical triggering delays due to the inherent responsiveness characteristics of a ventilator’s valving systems.

Engineering advances have produced triggering systems that generally require only a small portion of the total effort of inspiration to initiate assisted/supported breaths. However, in the presence of very vigorous patient efforts, even the best systems may not be sensitive or responsive enough to avoid a significant triggering load (37, 38). Clinically these loads can be identified by an observed patient effort either failing to trigger a breath or having the triggering noticeably delayed. On the airway pressure–time graphic, there may be marked airway pressure deflections present before breath triggering. On the expiratory flow–time graphic, there may be evidence of transient flow reversal during missed trigger efforts.

A second cause of missed or delayed triggers occurs in the presence of intrinsic PEEP (PEEPi). This occurs because the patient’s ventilatory muscles must first overcome the PEEPi in the alveoli before any circuit pressure or flow change can occur to trigger a breath (39, 40). This can sometimes be appreciated by noting abrupt expiratory flow termination before a triggered breath or transient expiratory flow reductions or reversals that do not trigger a breath (Figure 1). In some cases, PEEPi can also be detected by measuring airway pressure during an expiratory pause. However, this may not always be evident in the setting of patient inspiratory efforts or in severe airway obstruction with collapsing small airways.

Patient effort and delayed/absent ventilator triggering can be better appreciated if a diaphragmatic EMG or an esophageal pressure (a surrogate for pleural pressure) is available as these techniques directly assess the timing of ventilatory muscle contraction. Coupling these measurements to the onset of flow delivery will clearly demonstrate the missed or delayed trigger (4143). Moreover, the esophageal pressure–time tracing can be used to quantify any PEEPi present and the muscle PTP related to the imposed triggering load (44). For example, Leung and coworkers used esophageal pressure measurements to show that ventilatory muscle loading (PTP) was 38% higher for missed triggers than for properly triggered breaths (43). In contrast to delayed or missed breaths, a second type of trigger dyssynchrony is excessive triggering. This can be caused by autotriggering, entrainment, or premature cycling of breaths (37, 38). Autotriggering occurs when even small circuit leaks, tube condensation, and/or cardiac oscillations may trigger breaths and produce undesired hyperventilation and/or breath stacking with PEEPi. These extra breaths can result in significant apparent “tachypnea” and hyperventilation. As a consequence, some insensitivity in the triggering system often must be tolerated.

Another mechanism for extra triggering is in the setting of persistent effort after the machine breath has terminated (neural Ti > machine Ti) (37, 38). Under these circumstances, the second breath is tightly linked to the original breath and results in an increase in the measured ventilator rate.

A final mechanism of extra triggering occurs with the entrainment phenomenon described previously (2022). When this occurs the effects of the stimulated effort depend on the timing and the breath type. If the stimulated effort occurs before the original breath has ended it can result in either an isometric load with airway pressure reductions (flow- and volume-targeted breaths) or as an addition to the Vt (pressure-targeted breath). However, if the stimulated effort occurs after the original breath has ended, a second breath can be triggered. Like the double triggering from a prolonged neural Ti and short machine Ti described previously, the additional triggering from entrainment will often increase the measured breath rate. Similarly, the second breath will graphically be tightly linked to the original breath.

Flow Dyssynchrony

Once a breath is patient effort triggered, diaphragmatic contraction continues to occur (45, 46). If flow is synchronous with that contraction pattern, the inspiratory muscle pressure–volume profile conceptually should resemble a near normal pattern (Figure 2). Note from Figure 2 that flow synchrony does not mean the elimination of the work of breathing. Instead it means providing flow to “reshape” the inspiratory muscle’s pressure–time or pressure–volume profile to a more physiologic configuration.

Flow dyssynchrony from inadequate flow delivery can be appreciated clinically by observing inspiratory efforts that appear “flow starved” (vigorous inspiratory efforts unrewarded by adequate flow) and accompanied by marked patient discomfort. Examining the airway pressure–time profile can be useful in assessing flow dyssynchrony (Figure 3). In general, an airway pressure–time tracing that is smooth and consistently positive during inspiration suggests that flow is likely adequate to avoid excessive muscle loading (Figure 3, left). In contrast, a pressure–time waveform being “sucked down” by patient effort suggests that the delivered flow is markedly less than patient demand and excessive muscle loading may be developing (Figure 3, middle). When flow dyssynchrony is severe, the pressure–time waveform during inspiration can actually be pulled below the baseline airway pressure by high patient flow demands (Figure 3, right), an indication that the ventilator is really providing no inspiratory muscle unloading (43, 4650). Indeed, by calculating the difference between the area under the curve of the pressure–time tracings of the assisted/supported versus the controlled breath, the actual muscle PTP during the assisted/supported breath can be estimated (46, 51). If an esophageal pressure tracing is available, inspiratory muscle loads can be directly calculated (41).

Flow dyssynchrony from inadequate flow delivery is more common during acute respiratory failure when inspiratory flow demands are high, vary from breath to breath, and ventilator flow delivery is set inappropriately low. Importantly, as noted previously, unmet flow demands drive further discomfort and inspiratory effort (46, 49, 51). Not surprisingly, flow dyssynchrony appears to be more common with ventilatory settings that deliver a fixed flow (flow-targeted breaths) rather than with a flow that can vary with effort (pressure-targeted breaths (48, 5255).

Flow dyssynchrony can also occur when excessive flow is delivered (high set flow with flow-targeted breaths or high Pis and/or rapid pressure rise time settings with pressure-targeted breaths), especially in patients with reduced inspiratory efforts (56). Under these circumstances, lung expansion occurs faster than desired by the patient’s ventilatory control center. This can lead to excessive Vts in pressure-targeted modes, which can result in periodic breathing and adversely impact sleep (57). Excessive flow settings can also result in the ventilatory control center abruptly terminating the inspiratory effort (58) and even activation of expiratory muscles as patients “fight” to turn the breath off (a form of cycle dyssynchrony as described below).

Cycling Dyssynchrony

The ventilator cycles or terminates flow to end the mechanical inspiratory phase and begin mechanical expiration on the basis of different criteria depending on mode settings. Specifically, in flow–volume-targeted modes, the delivered Vt and cycle time is clinician set and cannot vary with efforts. In pressure-targeted modes, the cycling criteria are either a set Ti in pressure assist control ventilation or a flow cycle setting in pressure support ventilation (PSV).

Cycling dyssynchrony occurs when the neural Ti and the machine Ti are mismatched (Figure 4) (24, 59). Importantly, the mismatch may be because of an abnormal ventilatory drive or because the cycle criteria are set either too short or too long for an appropriate ventilatory drive.

A mechanical Ti shorter than neural Ti may be necessary to prevent excessive Vt values if the neural Ti is inappropriately high (e.g., from anxiety, pain, or CNS abnormality). Under these circumstances, in addition to ventilator manipulations, addressing the inappropriate drive should also be done. A mechanical Ti shorter than neural Ti can also result from an inappropriately short set cycle time in a patient with an appropriate ventilatory drive and neural Ti. Regardless of cause, mechanical Ti less than neural Ti can leave the patient uncomfortable (air hungry) as inspiratory muscles continue to contract into mechanical expiratory time (Te) against the sudden elastic recoil of the chest wall (Figure 4, right) (7). Moreover, in the setting of an appropriate neural Ti, an inadequate machine Ti may result in hypoventilation, which can result in the ventilatory control center both increasing rate and neural Ti. Importantly, this persistent effort can also trigger a second breath as noted previously (60, 61).

A machine Ti longer than neural Ti may sometimes be necessary in patients with reduced ventilatory drive to provide an adequate Vt. However, with an appropriate ventilatory drive, an excessive machine Ti can lead to discomfort and expiratory efforts may be evident on the pressure–time and flow–time graphics as patients “fight” to turn off the breath (Figure 4, left) (56, 59, 61, 62). If the excessive machine Ti results in a larger Vt, this can lead to overdistention, which can result in the ventilatory control center reducing rate and neural Ti (63).

A prolonged mechanical Ti can be particularly problematic in patients with obstructive airway disease when using pressure support (23, 64, 65). Under these circumstances, the obstructed airways cause delivered inspiratory flow to decrease slowly and, because pressure support cycles on flow reduction, Ti may be inappropriately prolonged. These factors can lead to PEEPi buildup (dynamic hyperinflation) and consequent triggering dyssynchronies.

Effect of Multiple Breath Types

The distribution of controlled/assisted/supported breaths (i.e., the mode of ventilation) may also be important in patient–ventilatory synchrony. Specifically, when more than one breath type is being delivered, the patient’s ventilatory control center is unable to anticipate what the loading pattern during the next breath will be, and the potential for all dyssynchronies may go up (7, 18, 19). Thus modes with multiple breath types (i.e., IMV) may be particularly at risk for this. Indeed, as more and more spontaneous breaths with little or no ventilatory assistance are allowed with IMV, ventilatory drive goes up, which can then translate to less synchrony during the assisted mechanical breaths (19, 66).

The Consequences of Patient–Ventilatory Dyssynchrony

Determining the prevalence of patient–ventilatory asynchrony is difficult as studies examining this question have involved varying patient populations, definitions of dyssynchrony, methods of detection, duration and timing of observation, and ventilatory modes (43, 60, 6769). Triggering dyssynchronies have been the most well studied. Depending on patient population, ventilator settings, and measurement techniques, triggering dyssynchronies have been reported in 26–82% of mechanically ventilated patients (67). Among these patients, anywhere from 20 to 63% have more than 10% of their efforts associated with trigger dyssynchrony (67). Importantly, as many as 20% of patients with triggering dyssynchronies were not detected without measurements of esophageal pressure or diaphragm electrical activity (67). Not surprisingly, trigger dyssynchronies were more common in patients with chronic obstructive pulmonary disease and at risk for PEEPi development (43, 67). Double triggering is the other commonly reported triggering dyssynchrony, but this occurs in generally fewer than 10% of patients in these various studies (67).

The incidence of other forms of dyssynchrony (flow dyssynchrony and cycle dyssynchrony) has not been as well characterized. However, a retrospective evaluation of the National Institutes of Health (NIH) ARDS Network small Vt study reported cycling dyssynchronies associated with double triggering in 9.7% of all breaths analyzed (70, 71). Indeed, it is likely that patient–ventilatory dyssynchrony is ubiquitous if any patient is observed long enough during assisted/supported mechanical ventilation.

Although there is no doubt that many dyssynchronies are subtle and of little clinical relevance, significant dyssynchronies can produce patient discomfort and are a frequently cited indication for the administration of sedatives in many intensive care units (ICUs) (9, 72, 73). This may impact ventilator duration as high sedation usage is linked to longer ventilator use (4).

de Wit and colleagues demonstrated a longer duration of mechanical ventilation, worse 28-day ventilation-free survival, and longer ICU and hospital stays but no differences in ICU or hospital mortality in an observational study of 60 patients with various dyssynchronies studied during the first day of mechanical ventilation (68). Thille and colleagues (60) found that efforts associated with trigger dyssynchronies more frequently than 10% of the time (seen in 24% of their patients) were associated with substantially longer durations of mechanical ventilation and even a trend toward worse mortality. Whether the relationship between these additional adverse outcomes and patient–ventilatory dyssynchrony suggests causation or only represent a common link of a poor prognosis remains unclear.

The challenge with ventilator management in actively breathing patients is to match ventilatory support with patient effort so as to ensure safe and effective support without imposing inappropriate loads. Although there are many ventilatory adjustments that can be made to accomplish this, as described below, attention must first be paid to the appropriateness of the patient’s ventilatory drive.

If the ventilatory drive is depressed from disease or drugs, simply supplying an appropriate backup control breath rate and Vt is all that is needed. However, if the ventilatory drive is inappropriately excessive, interactive support settings can become quite challenging (7). Under these circumstances, a search for reversible causes (e.g., pain, anxiety, acidosis, hypoxemia, tube obstructions, mucus plugging, and dyssynchronous settings) should be done initially and corrected if possible, recognizing that achieving synchrony may ultimately require sedation usage.

Achieving the most synchronous settings requires careful assessments and often is a “trial and error” exercise. Ultimately, the proper delivery of assisted/supported breaths must focus on all three phases of interactive breath delivery.

Optimizing Breath Triggering

The clinician should choose the trigger sensor (flow vs. pressure) that is most sensitive and responsive to patient effort (37, 38). Importantly, some ventilators have both types of effort sensors present and will respond to whichever signal is detected first. With either sensor, the clinician should adjust the sensitivity of the triggering system to be as sensitive as possible without producing autotriggering (37, 38).

In the setting of PEEPi trigger dyssynchrony, there are several clinical strategies. First, clinicians should try reducing the PEEPi as much as possible by reducing minute ventilation (e.g., reduce set rate, reduce set Pi, reduce set Vt, reduce ventilation needs driving patient efforts), lengthening the Te, or improving airway mechanics (17). The triggering load from PEEPi can also be reduced by applying judicious amounts of applied circuit PEEP, which serves to narrow the gradient between circuit (extrinsic) and PEEPi (39, 40). This could be guided by an esophageal pressure tracing with the goal of providing about 70–80% of measured PEEPi as circuit PEEP (19, 65, 73, 74). If an esophageal balloon is not available, an alternative approach is to empirically titrate PEEP and monitor the patient’s response (75). If the application of PEEP is benefiting the patient, the delay between effort and ventilatory triggering will shorten and the patient will be observed to be more comfortable. Ironically, the ventilator breathing frequency may actually increase (as will minute ventilation) because more efforts that were previously missed are now being triggered. This may require subsequent adjustments to avoid excessive ventilation. An important sign to look for is the amount of pressure required for the Vt. As long as the applied PEEP is less than the PEEPi this Pi/Vt relationship will not change (19, 65). Excessive PEEP above the PEEPi, however, will either drive the end-Pi up in flow–volume-targeted ventilation or reduce the Vt in pressure-targeted ventilation.

Managing an extra-triggering phenomenon depends on the cause. Ventilator autotriggering can be managed with a careful search for reversible causes (e.g., water in the circuit, small leaks) and/or adjustments to the trigger sensitivity settings (37, 38). Prolonged efforts with short mechanical Tis that trigger second breaths can be addressed by adjusting cycling criteria (mechanical Ti; see below). Managing entrainment effects can be more problematic as this phenomenon is less well studied. Additional sedation seems counterproductive as entrainment is associated with the use of heavy sedation (20). Conceptually, a reduction in sedation and mandatory breath delivery might be useful, but this has not been studied.

Optimizing Flow Delivery

Ventilator setting adjustments for achieving flow synchrony depend on whether flow-targeted volume-cycled breaths or pressure-targeted breaths are being used (18). Flow-targeted volume-cycled breaths are the most common breath type used in modern ICUs (76), and they give the clinician direct control over the flow magnitude, flow delivery pattern, Ti, and the ultimate volume delivered. This can be useful in guaranteeing that a safe and effective Vt is provided. Unfortunately, the fixed flow delivery pattern cannot interact with the patient’s ventilatory drive and thus achieving flow synchrony can be a challenge.

When using flow-targeted breaths, the magnitude and the shape of the flow can be adjusted (sinusoidal vs. square vs. decelerating) to enhance synchrony (18, 77, 78). Inspiratory pause times can also be used to help with synchrony. When flow rates are properly titrated, Kallet and colleagues have shown that comfort with flow–volume-targeted breaths appears comparable to variable flow, pressure-targeted breaths (54). Of note is that careful attention to the flow settings with flow-targeted breaths in the NIH ARDS Network small Vt study resulted in no increased sedation use when using small Vts compared with large Vts (70).

Pressure-targeted breaths may offer synchrony advantages over flow-targeted breaths. This is because pressure targeting allows the ventilator to deliver whatever flow is needed to attain the set pressure target. Flow thus varies with patient effort, and this feature has been shown in many clinical studies to thereby enhance flow synchrony (Figure 5) (18, 19, 48, 5255, 79).

The pressure-targeted breath also has several additional features that can further enhance flow synchrony. For example, the pressure rise time adjustment (flow acceleration adjustments also known as “pressure slope,” “inspiratory percent,” and other proprietary names) allows manipulation of the initial flow delivery, thereby increasing or decreasing the rate of rise of Pi (56). In theory, vigorous efforts might synchronize better with a rapid pressurization pattern; less vigorous efforts might synchronize with a slower pressurization pattern. Observational trials suggested this might be the case (56, 80, 81), but no study has shown this manipulation to alter outcome. Another commonly available feature is to have the ventilator adjust the circuit pressure profile to compensate for calculated endotracheal tube resistance and thereby produce a more “square wave” pressure profile in the trachea. Observational trials have suggested this might reduce muscle loads imposed by the artificial airway but, again, no study has shown this feature to alter outcome (82).

A concern with pressure targeting is that Vt control is lost (83). One way to address this is with feedback modes that allow the clinician to set a target Vt and then have the ventilator automatically adjust the pressure to maintain that volume. Although this has theoretical appeal, it is possible that changes in effort from anxiety or pain may create high Vts that then result in inappropriate lowering of the Pi (84, 85).

Optimizing Breath Cycling

Achieving breath cycling synchrony involves delivery of an appropriate Vt in accordance with patient demands and matching of neural and machine Ti. With flow–volume targeting, adjusting the Vt and machine Ti is relatively straightforward as these are set independent variables that produce the machine Ti. With pressure targeting, adjusting the Vt and machine Ti is more complex and involves the interactions of applied Pi, respiratory system mechanics, patient effort, and cycling criteria. Altering any of these parameters often results in changes in others. In general, higher Pi settings, better mechanics, increased effort, and longer cycling criteria settings (higher set Ti in pressure assist control ventilation, lower expiratory flow criteria with PSV) extend the machine Ti (56, 5962, 86). The pressure rise time in PSV can also affect machine Ti depending on its effects on the resulting patient ventilatory drive and its impact on peak flow and the flow cycling criteria (56).

One common cycling management problem is the patient on a pressure-targeted mode with a vigorous inspiratory effort who, despite a low applied Pi, still demands Vts that may be considered excessive (e.g., above 8–10 ml/kg ideal body weight) (70). Assuming this patient does not have a reversible cause for excessive inspiratory drive (e.g., pain), is on as low a Pi setting as possible, and is not ready for ventilator withdrawal (e.g., has high fraction of inspired oxygen or PEEP needs), many would argue that the high Vt should be tolerated and not suppressed with sedation.

New Approaches

Two new approaches to improving patient ventilatory interactions have been introduced: proportional assist ventilation (PAV) and neurally adjusted ventilatory assist (NAVA) (87). PAV requires that “test breaths” (controlled breaths with fixed flow and volume) be given. This allows for the calculation of respiratory system mechanics, which can be coupled with the measured ventilation to calculate work of breathing (resistive and elastic ventilatory muscle loads). These load calculations are repeated at regular intervals to maintain reliable inputs for the PAV algorithm.

PAV breaths are patient-initiated breaths triggered in a conventional way using circuit pressure or flow sensors. Thereafter, the ventilator continues to monitor flow and volume demanded by the patient and puts a clinician-set “gain” on this demand to augment flow and pressure in proportion to the desired reduction in the patient’s work of breathing. The PAV breath cycles when sensed flow demand has ceased.

Like pressure-targeted breaths, PAV flow delivery varies with patient effort; unlike pressure-targeted breaths, pressure also varies with patient effort. The conceptual upside to PAV is that flow and cycle synchrony should be enhanced over conventional assisted/supported breaths. Another conceptual upside is that patient-driven Vt variability with its theoretical lung protective benefits may be enhanced. The downside, however, is that, unlike conventional pressure-targeted breaths, there is no minimal pressure or flow provided. Thus, PAV must be used with caution in patients with unreliable ventilatory drives from either disease or drugs. Indeed, with all patients on PAV, careful monitoring and backup support modes should be available.

Most clinical studies with PAV have shown enhanced synchrony compared with conventional modes (8890). However, it is not clear what the ideal PAV gain(s) should be in various clinical settings. Moreover, to date, there have been no good randomized trials looking at important outcome benefits (e.g., ventilator duration, sedation needs, mortality) when PAV is compared with properly provided conventional assisted/supported breaths.

NAVA requires a unique esophageal catheter with an array of diaphragm EMG sensors (87). These sensors detect the onset, intensity, and termination of inspiratory efforts directly. Like PAV, a clinician-set gain is then applied that determines flow and pressure delivery in proportion to the EMG signal.

The conceptual upside to NAVA is that synchrony with all three phase of breath delivery (trigger, gas delivery, and cycle) should be enhanced over conventional assisted/supported breaths. Like PAV, another conceptual upside is that patient-driven Vt variability with its theoretical lung protective benefits may be enhanced. Also like PAV, the downside is that there is no minimal pressure or flow provided. Thus, like PAV, NAVA must be used with caution in patients with unreliable ventilatory drives from either disease or drugs. Moreover, with NAVA there is also concern about the stability of the EMG signal coming from a catheter that can move within the esophagus. Thus all patients on NAVA require careful monitoring and backup support modes.

Most clinical studies with NAVA have shown enhanced synchrony compared with conventional modes (9194). However, like PAV, it is unclear what the optimal EMG gain setting(s) should be in various clinical settings. To date there have been no good randomized trials looking at important outcome benefits (e.g., ventilator duration, sedation needs, mortality) when NAVA is compared with properly provided conventional assisted/supported breaths.

Assisted/supported modes of mechanical ventilation offer significant advantages over controlled modes in terms of ventilatory muscle function/recovery and patient comfort (and conceptually sedation needs). Assisted/supported breaths must interact with patient demands during all three phases of breath delivery: trigger, target, cycle. Synchronous interactions match ventilatory support with patient demands; dyssynchronous interactions do not. Dyssynchrony can impose substantial loads on ventilatory muscles, promoting muscle overload/failure, and greatly worsens comfort, driving up sedation needs. On current modes of ventilation there are a number of features that can monitor and enhance synchrony. These include adjustments on the trigger variable, the use of pressure versus fixed flow-targeted breaths, and a number of manipulations of the cycle variable. Clinicians need to know how to use these modalities and monitor them properly, especially understanding airway pressure and flow graphics (48, 94). Future strategies are emerging that have theoretical appeal, but they await good clinical outcome studies before they become commonplace.

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Correspondence and requests for reprints should be addressed to Neil MacIntyre, M.D., Duke University Medical Center, Respiratory Care Services, Box 3911, Room 1120, 400 Erwin Road, Durham, NC 27710. E-mail:

Originally Published in Press as DOI: 10.1164/rccm.201212-2214CI on September 26, 2013

Author disclosures are available with the text of this document at www.atsjournals.org.

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