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1 Surgical Center, The Institute of Medical Science, University of Tokyo, Tokyo 108, Japan; and 2 Clinical Research Department, Newport Medical Instruments, Newport Beach, California 92658
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ABSTRACT |
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A
mathematical model was developed to analyze the mechanisms of
expiratory asynchrony during pressure support ventilation (PSV).
Solving the model revealed several results. 1) Ratio of the
flow at the end of patient neural inspiration to peak inspiratory flow
(
TI/
peak)
during PSV is determined by the ratio of time constant of the
respiratory system (
) to patient neural inspiratory time
(TI) and the ratio of the set pressure support (Pps) level to maximal inspiratory muscle pressure (Pmus max).
2)
TI/
peak is affected more by
/TI than by Pps/Pmus max.
TI/
peak
increases in a sigmoidal relationship to
/TI. An
increase in Pps/Pmus max slightly shifts the
TI/
peak-
/TI
curve to the right, i.e.,
TI/
peak
becomes lower as Pps/Pmus max increases at the same
/TI. 3) Under the selected adult respiratory
mechanics,
TI/
peak ranges from 1 to 85% and has an excellent linear correlation with
/TI. 4) In mechanical ventilators, single fixed
levels of the flow termination criterion will always have chances of
both synchronized termination and asynchronized termination, depending
on patient mechanics. An increase in
/TI causes more
delayed and less premature termination opportunities. An increase in
Pps/Pmus max narrows the synchronized zone, making inspiratory
termination predisposed to be in asynchrony. Increasing the expiratory
trigger sensitivity of a ventilator shifts the synchronized zone to the
right, causing less delayed and more premature termination. Automation
of expiratory trigger sensitivity in future mechanical ventilators may
also be possible. In conclusion, our model provides a useful tool to analyze the mechanisms of expiratory asynchrony in PSV.
mechanical ventilation; patient-ventilator synchrony; mathematical modeling
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INTRODUCTION |
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PRESSURE SUPPORT VENTILATION (PSV) has been one of the most frequently applied modes for partial ventilatory support. Because patients under PSV have control of the ventilatory rate and the inspiratory assist time, they feel more comfortable with PSV than with other partial ventilatory support modes (e.g., synchronized intermittent mandatory ventilation) (11). Nevertheless, recent clinical studies have revealed that patients under PSV may frequently encounter patient-ventilator asynchrony. Ventilators may not be in synchrony with the onset of the patient inspiratory effort, which causes inspiratory asynchrony (or trigger asynchrony). Studies on inspiratory asynchrony have indicated that inspiratory asynchrony is related to a high patient work in breathing and difficulty in weaning patients from the mechanical ventilation (7, 8). In addition, patient-ventilator asynchrony may also be present during the onset of exhalation, i.e., expiratory asynchrony (9, 10, 14, 16). In this situation, the termination of the ventilator flow occurs either before or after patients stop their inspiratory efforts. Expiratory asynchrony not only causes discomfort to patients but costs patients unnecessary inspiratory and expiratory work as well (12). When the termination of the ventilator flow falls behind the end of the patient inspiratory effort (i.e., delayed termination), the patient recruits his expiratory muscles to "fight" against the ventilator flow, which increases expiratory workload (10). When the termination of the ventilator flow occurs before the end of the patient inspiratory effort (i.e., premature termination), inspiratory muscle work continues into or even throughout the ventilator's expiratory phase, thus resulting in inefficient inspiratory muscle work (16). Furthermore, a high lung volume caused by the previous breath with delayed termination may result in trigger failure of the subsequent inspiratory effort in patients with chronic obstructive pulmonary disease (COPD) (14). Premature termination in PSV, on the other hand, sometimes causes retriggering of inspiration and a stuttering pattern of ventilator assistance (16). Although expiratory asynchrony has been of clinical concern for years, there are very few studies exploring the mechanisms of expiratory asynchrony (20). Younes (20) used computer simulation to evaluate the effects of selected levels of respiratory mechanics and patient effort on the duration of ventilator assistance time during PSV. Because his presentation was limited to relatively few, selected levels of resistance, compliance, and patient effort, more general relationships governing expiratory asynchrony cannot be deduced.
Flow cycling is the primary method for intensive care ventilators to terminate their inspiratory flow delivery during PSV. The ventilator is cycled off when the inspiratory flow has decayed to a certain level (i.e., termination criterion). Most current ventilators use an arbitrary termination criterion to terminate the inspiratory flow delivery during PSV (e.g., 5% of the peak flow in the Siemens Servo 300, 25% of the peak flow in the Siemens Servo 900 and Bird 8400ST, 5 l/min in the Nellcor Puritan Bennett 7200ae). These arbitrary criteria have been shown to cause expiratory asynchrony in certain patient categories. Van de Graaff and co-workers (16) found that patients with prolonged and slow inspiratory efforts sometimes suffered premature termination under PSV with the Siemens Servo 900C ventilator. With this same ventilator, Jubran et al. (10) revealed delayed termination of ventilator flow in patients with a long time constant and a high support pressure level. In a mechanical simulation study evaluating expiratory synchrony during PSV in different ventilators (17), we identified a delayed ventilator flow termination with weak inspiratory effort and long time constant using the Siemens Servo300. Surprisingly, ventilator flow was never cycled off by the flow criterion with the Nellcor Puritan Bennett 7200ae in the tested conditions.
With the understanding that a single level of the flow criterion in a specific ventilator probably would not satisfy all patient categories and the chances of premature termination and delayed termination are always likely, some ventilator manufacturers have introduced user-selectable termination criteria into their newest model ventilators in an effort to improve expiratory synchrony (e.g., Nellcor Puritan Bennett 840, Hamilton Galileo). Clinicians can select a termination flow criterion (expiratory trigger sensitivity) to optimize the expiratory synchrony. This function, although it provides flexibility to clinicians, breaks the simplicity of the application of PSV and has been shown to be difficult even with visual observation of the bedside airway pressure waveform (4, 6). Part of the difficulty in using this function is attributed to lack of clarification of the mechanisms of expiratory asynchrony in different patient mechanic conditions during PSV.
To better understand the mechanisms of expiratory asynchrony caused by
the flow termination criteria in PSV of mechanical ventilators, we
developed a mathematical model. Solving this model revealed that
expiratory synchrony is governed by two ratios: the ratio of the
respiratory time constant (
) to patient neural inspiratory time
(TI) and the ratio of the ventilator set pressure support
level (Pps) to patient inspiratory muscle pressure (Pmus). The use of
this model for automation of expiratory trigger sensitivity in the
development of future mechanical ventilators is also possible.
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METHODS |
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The Model
During partial ventilatory support, the motion of the respiratory system can be represented by the single first-order differential Eq. 1, with the assumption that inertial losses are negligible and that the pressure-flow and pressure-volume relationships are linear in the range of tidal ventilation.
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(1) |
V(t)] from the end-expiratory level and the
instantaneous flow
[
(t)] are determined
by the total driving pressure applied to the respiratory system, i.e.,
the time varying airway pressure (Paw) and patient-generated Pmus. R
and E represent the resistance and elastance of the respiratory system, respectively.
On the basis of this differential equation, the inspiratory flow waveform during PSV can be solved analytically by assuming the form of the input pressure signals Paw(t) and Pmus(t).
Paw(t) is simulated by assuming that the ventilator is
triggered as soon as inspiratory effort succeeds in either generating inspiratory flow or reducing Paw below the baseline pressure level (here assumed to be zero). Once the ventilator is triggered, Paw is
assumed to exponentially increase to the Pps level with a ventilator time constant (
v) and then maintain that level until the
termination of inspiration (Fig.
1). Thus
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(2) |
0. The time course of Pmus can be approximated by the
following second-order polynomial function (13)
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(3) |
t
TI. Substituting Eqs. 2 and 3 into Eq. 1 and solving the resultant differential
equation for the initial condition of
(t = 0) yields
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(4) |
is the time constant of the patient respiratory system
(
= R/E).
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Rearranging the above equation to express
(t) in terms of Pps/Pmus max and
/TI yields the equation
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(5) |
This is a fundamental equation describing the inspiratory flow profile
during PSV, which implies that the flow profile as the function of
normalized time (t/TI) is determined by
Pps/Pmus max,
/TI, and
v/TI. Furthermore, this equation also
implies that, during PSV at a given level of
v/TI, the ratio of the flow at the end of
patient neural inspiration to peak inspiratory flow (
TI/
peak)
can be uniquely expressed and graphically plotted on the plane of
Pps/Pmus max vs.
/TI. This provides the framework for
the following analyses.
Computation of
TI/
peak.
To simplify the calculations,
V/TI is
assumed to be 0.06. This
V/TI value
represents cases in which, for example, patient neural TI
is 1.0 s and ventilator
V is 0.06 s
[
V of 0.06 s corresponds to the flow acceleration
percent setting of 90% in the Nellcor Puritan Bennett 840 ventilator
(15)]. The inspiratory flow rates at t during PSV over
the entire TI were then computed with Eq. 5 by
stepwise changing Pps/Pmus max and
/TI.
peak and
TI were determined in these
calculations. In this study, Pps/Pmus max was changed from 0.1 to
3.0 (at 0.1 intervals) and
/TI from 0.1 to
2.0 (at 0.1 intervals). In this way, we obtained 30 × 20 matrices
for
peak and
TI, which yielded
TI/
peak
on the Pps/Pmus max-
/TI plane. To evaluate the
separate effects of
/TI and Pps/Pmus max on
TI/
peak,
TI/
peak
values as a function of
/TI (ranging from 0.1 to 2.0 at
0.1 intervals) at five different levels of Pps/Pmus max (i.e., 1/3,
2/3, 1, 2, 3) were also plotted.
TI/
peak
at the ranges of adult respiratory mechanics.
Because expiratory asynchrony has been experienced primarily in adult
applications of PSV (9, 10, 14, 16), we calculated
TI/
peak
values at wide ranges of adult respiratory mechanics. The respiratory
mechanics used were lung compliance of 0.08, 0.04, and 0.02 l/cmH2O; chest wall compliance of 0.2 l/cmH2O;
respiratory resistance of 5 and 20 cmH2O · l
1 · s
1;
Pps of 10, 20, and 30 cmH2O; and Pmus max of 10 and 30 cmH2O. The patient neural TI was assumed to be
1.0 s and
v/TI was the same as described above.
Expiratory synchrony with representative termination criteria.
Two representative termination criteria were chosen in this study: 25 and 5% of peak inspiratory flow. This means that the ventilator is
cycled off when the inspiratory flow decays to the level that is equal
to the threshold level, i.e., 25 or 5% of peak inspiratory flow. With
the use of these termination criteria, the ventilator will be in
expiratory synchrony with the patient if
TI/
peak
is equal to the threshold level. It is in asynchrony with the patient
when
TI/
peak
is higher than (delayed termination) or lower than (premature
termination) the threshold level. When
TI/
peak
is higher than the threshold level at the end of patient neural
inspiration, however, the decline in Pmus after neural inspiration
augments the flow decay so as to decelerate flow to reach the threshold
subsequently. Effect of the Pmus decline on the flow decay can be
approximated as
Pmus/R. Physiologically, the cessation of Pmus is
not instantaneous; rather, the inspiratory muscle activity generally
extends into the expiratory phase, resulting in residual inspiratory
Pmus during neural expiration (13). In anesthetized humans and animals
(2, 21), although the time course of the inspiratory Pmus during the
entire expiration follows a curvilinear relationship, it is almost a
linear decay during the first 0.1 s of the expiration. This is also
supported by our data from the patients under mechanical ventilation
with PSV (18). Taking this Pmus decay pattern into consideration, we
designate the rate of the Pmus decline (in percent) during the first
0.1 s of expiration as
(Fig. 1), i.e., Pmus is assumed to decay by
× Pmus max. Therefore, the contribution of the Pmus decline to the flow decay after the end of TI would be
modified to
× Pmus max/R. If we consider the delayed
ventilator flow terminations of up to 0.1 s as synchronous
terminations, the conditions of synchronous terminations can be written
as
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(6) |
/TI plane. Comparing elements in
TI/
peak
with both the lower limit (i.e., 0.25 or 0.05) matrix and the upper
limit matrix, we obtained the zone for synchronous termination on the
plane. The asynchronous zones were defined if
TI/
peak
was higher than the upper limit (delayed termination) or lower than the
lower limit (premature termination).
Although results from humans and animals with normal respiratory
functions indicate that inspiratory Pmus decreases by ~25% in the
first 0.1 s (2, 21), the value of
in this study was assumed to be
25 and 50% because a higher level of
may represent the condition
in which a sudden expiratory muscle activity augments the inspiratory
flow decay (1).
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RESULTS |
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Computation of
TI/
peak
TI/
peak is
determined by two ratios:
/TI and Pps/Pmus max (Fig.
2). At the same Pps/Pmus max,
TI/
peak
increases as
/TI increases. When
/TI
remains the same,
TI/
peak
decreases as the Pps/Pmus max increases. Figure
3 reveals that
TI/
peak is
predominantly affected by
/TI. The influence of
/TI on
TI/
peak follows a sigmoidal pattern. An increase in Pps/Pmus max slightly shifts the
TI/
peak-
/TI
curve to the right.
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TI/
peak
at the Ranges of Adult Respiratory Mechanics
TI/
peak
ranges from 1 to 85% (Table 1). It is
affected more strongly by
/TI of the respiratory system
than by Pps/Pmus max. Analysis using linear regression reveals an
excellent correlation between the
TI/
peak and
/TI within the selected mechanic ranges, with a
correlation coefficient of
0.96 (Table
2).
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Expiratory Synchrony With Representative Termination Criteria
Expiratory synchronies with representative termination criteria are shown in Fig. 4. Single fixed levels of the termination criterion, no matter how much they are, always have chances of both synchronized termination and premature as well as delayed termination, depending on the Pps, Pmus,
of the respiratory system,
and patient neural TI. An increase in
/TI
causes greater opportunity of delayed termination and less chance of
premature termination. An increase in Pps/Pmus max narrows the
synchronized zone, making the inspiratory termination predisposed to be
in asynchrony (delayed or premature termination). When the patient mechanics remain unchanged, increasing the expiratory trigger sensitivity of a ventilator shifts the synchronized zone to the right,
in general causing less delayed termination and more premature termination. An increase in
(indicating a faster Pmus decay or
expiratory muscle activity) broadens the synchronous zone and narrows
the delayed termination zone.
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DISCUSSION |
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Analysis of the mechanisms of expiratory asynchrony could be done with
a mathematical model, computer simulation, mechanical model simulation,
or even animal and/or human studies. Because it is difficult or
unrealistic to manipulate the potentially involved parameters in
animals and humans, animal and human studies do not fit well for this
type of study. Mechanical model simulation and computer simulation have
advantages because many parameters can be manipulated in a controlled
manner and can be designed in a way that is mechanically closer to
human physiology than mathematical models. However, the use of a
mathematical model approach, with some assumptions and simplifications,
allows easier elucidation of the basic rules behind expiratory
asynchrony than the use of other approaches. In this study, we assumed
the pressure-volume relationship to be linear in the range of tidal
ventilation. We also assumed the pressure-flow relationship to be
linear so that we could solve the mathematical model. This assumption,
especially in intubated patients, is not true because the real
pressure-flow relationship is more of nonlinearity. This nonlinearity
will attenuate the peak flow and reduce
TI/
peak,
thus, in general, shifting the results presented here toward delayed
termination. We could incorporate trigger delay time
(Tdelay) and trigger pressure (Ptrigger) into
the model by changing TI, Pmus, and Pps to TI
Tdelay, Pmus max
Ptrigger,
and Pps + Ptrigger, predisposing to delayed terminations; however, in the model, we assumed that the ventilator is triggered as
soon as the patient starts inspiratory efforts for the simplicity of
data presentation. The airway pressure waveform in the model was
characterized by an exponential curve with a variable rate constant
(1/
v), which incorporated changes in the slope of the pressurization. To simplify the data presentation, we fixed
v/TI at 0.06, which
represents cases in which the patient TI is 1.0 s and the
ventilator time constant is 0.06 s (
v of 0.06 s
corresponds to the flow acceleration setting of 90% in the Nellcor
Puritan Bennett 840 ventilator). On the basis of Eq. 5, an
increase in
v/TI will reduce the peak flow
and increase
TI/
peak. It
means that an increase in
v at a given TI
will cause more delayed termination than what we presented in this
study. This is consistent with the results from Bonmarchand et al. (3)
who found that changing the pressurization time from 0.1 s to a maximum
of 1.5 s greatly modified the ventilator TI, promoting
delayed termination of inspiration. In the analyses of expiratory
synchrony with the representative termination criteria (i.e., 25 and
5% of the peak flow), we arbitrarily defined a termination delay of up
to 0.1 s as synchronized termination. These assumptions and
simplifications can be easily criticized because they are not
necessarily equivalent to those in reality; however, they are helpful
and allow an in-depth mathematical analysis of the mechanisms of
expiratory asynchrony in PSV.
With these assumptions and simplifications being kept in mind, this
mathematical model study reveals the following results during PSV.
1) The ratio of the flow at the end of patient
TI/
peak during PSV is determined by two ratios,
/TI and Pps/Pmus
max. 2)
TI/
peak
is affected more by
/TI than by Pps/Pmus max. Within
the data ranges presented in the Fig. 3,
TI/
peak
increases in a sigmoidal (s-shaped) relationship to
/TI.
An increase in Pps/Pmus max slightly shifts the
TI/
peak-
/TI
curve to the right. 3) Under the selected adult respiratory
mechanics,
TI/
peak ranges from 1 to 85% and has an excellent linear correlation with
/TI. 4) Single fixed levels of the flow
termination criterion used in mechanical ventilators will always have
chances of both synchronized termination and asynchronized (premature
and delayed) termination, depending on the patient mechanics. An
increase in
/TI causes greater opportunity of delayed
termination and less chance of premature termination. An increase in
Pps/Pmus max narrows the synchronized zone, leaving the inspiratory
termination predisposed to be in asynchrony (premature or delayed
termination). Increasing the expiratory trigger sensitivity of a
ventilator shifts the synchronized zone to the right, causing less
delayed termination and more premature termination. An increase in
(indicating a faster Pmus decay or expiratory muscle activity) broadens
the synchronous zone and narrows the delayed termination zone.
Although all factors, including Pps, Pmus,
, and TI,
influence
TI/
peak,
the weight of the influence of
/TI is the most (Fig. 3, Table 1).
TI/
peak is
affected by
/TI in a sigmoidal pattern across the full
data ranges, as shown in Fig. 3.
TI/
peak rises as
becomes longer at a given TI, which implies
that the expiratory trigger sensitivity should be set higher in the
conditions of longer time constant. As an example of the results from
this study,
TI/
peak
turns out to be higher than 60% in the conditions of 20 cmH2O · l
1 · s
1
resistance and 0.08 l/cmH2O compliance at a TI
of 1.0 s (Table 1). This is consistent with the findings of the delayed
inspiratory termination shown both in patients with COPD (10, 14) and in a mechanical lung model study (17) in which the ventilators with
peak flows of 5 or 25% as the termination criterion were used
[the Siemens 900C (10), Taema Cesar or Hamilton Amadeus (14), and
Siemens 300 (17)]. In another study on COPD patients, Jubran and
co-workers (10) showed that 5 of their 12 studied patients displayed
expiratory effort before the cessation of inspiratory flow (i.e.,
delayed termination). These five patients had an average time constant
of 0.54 s compared with an average time constant of 0.38 s in the
patients who displayed no expiratory effort during the inspiratory
phase. The delayed termination at the long time constant can be
explained because the inspiratory flow decay after the peak level is
slower as a result of a longer time constant. The strong
relationship between
TI/
peak
and
may also explain why expiratory synchrony can be achieved with
the ventilator (Newport E200) in which expiratory trigger sensitivity
is related to the elapsed inspiratory time (17).
The direct effects of the Pps level and the magnitude of the patient
inspiratory effort (Pmus) on
TI/
peak
are not as important as those of
/TI (Fig. 3,
Table 1); however, the higher the Pps/Pmus max, the narrower the
synchronized zone becomes with a certain flow criterion (Fig. 4). This
means that the possibility of expiratory synchrony is reduced if a high
level of pressure support is applied and/or the patient has a weak
inspiratory effort (19). When the patient Pmus is predominant (compared
with the ventilator support) in generating inspiratory flow, the
ventilator is predisposed to be in synchrony with the patient in terms
of the inspiratory termination and vice versa. These results are
consistent with the findings in the above-mentioned study done by
Jubran and co-workers (10) because the delayed termination existed at
PSV of 20 cmH2O but disappeared at PSV of 10 and 5 cmH2O.
It is surprising to find that, even under the adult respiratory
mechanics,
TI/
peak can
vary in a very wide range, from 1 to 85%. This finding explains why
expiratory asynchrony occurs frequently when mechanical ventilators
with a fixed level of flow termination criteria are used. Contrary to a
fixed level of flow termination criteria, user-selectable expiratory
trigger sensitivity in some of the most recently released ventilators
(e.g., Hamilton Galileo and Nellcor Puritan Bennett 840) provides
flexibility, allowing clinicians to manually select the flow
termination criteria to achieve good patient-ventilator
synchrony. However, because
TI/
peak
may change when any of the four parameters (Pps, Pmus,
, and
TI) change, clinicians may need to readjust the expiratory trigger sensitivity setting very frequently. This is obviously unrealistic in routine clinical practices. Because expiratory asynchrony is a clinical concern primarily in adult applications (9, 10, 14, 16) and
TI/
peak
has an excellent linear correlation with
/TI in the
range of adult mechanics (with correlation coefficient
0.96, Table
2), the adjustment of expiratory trigger synchrony for the purpose of
patient-ventilator synchrony, in theory, could easily be done
automatically by the current computer technologies in mechanical
ventilator applications.
Because of the assumptions and simplifications that we used in this mathematical model study, the results presented here may not be directly extrapolated to clinical application. It is especially true in terms of the data of expiratory synchrony with the representative termination criteria (Fig. 4), since our model did not take into account the role of the pressure criteria in the inspiratory termination. The divisions of the premature, synchronized, and delayed termination zones in Fig. 4 were based on the assumption that the ventilator has only flow criteria to terminate the inspiratory flow. Many mechanical ventilators, in reality, are also equipped with pressure criteria as a backup to terminate the inspiration. By pressure criteria, the ventilator flow is terminated when Paw rises a certain amount (e.g., +1.5, 2.0, 3.0, and 20.0 cmH2O in the Nellcor Puritan Bennett 7200ae, the Newport E200, the Siemens 900, and the Siemens 300 ventilators, respectively) above the Pps level. In fact, pressure criteria could become a primary method for terminating the ventilator flow in some ventilators (17) if they are strict (i.e., the ventilator is cycled off at a small supraplateau pressure). The addition of a strict pressure criterion may fundamentally narrow the delayed termination zone and widen the synchronized zone, especially in patients with active expiratory efforts (at the cost of the patient expiratory work). It should be kept in mind, however, that a strict pressure criterion may cause other problems, such as premature termination of inspiration in the case of pressure variation at the plateau level.
Contribution to Already Published Work
Using computer simulation, Younes (20) evaluated the effects of patient respiratory mechanics and the level of patient inspiratory effort on the tidal volume and ventilator's TI during PSV by choosing a few levels of resistance, compliance, and Pmus. His results indicate that, for a given level of patient resistance and compliance, expiratory asynchrony is affected by the change in the patient inspiratory effort. Although his data help to explain, in part, the mechanism of expiratory asynchrony, his approach is less likely to elucidate the general rules governing expiratory synchrony. With our simple but comprehensive mathematical formulation, however, we were able to characterize, in a first-order approximation, the influence of
(and thus resistance and compliance) in dimensionless form as the
ratio
/TI, incorporating the effect of TI.
It means that expiratory synchrony is not affected by
alone but,
rather, is affected by
/TI. Accordingly, we can conclude
that changes in
could result in different levels of expiratory
asynchrony dependent on the patient's adjustment of neural
TI: if TI is changed proportionally to maintain
a constant value of
/TI, there would be no change in
expiratory asynchrony. In the same way, expiratory synchrony is
governed by the balance in relative weight between patient effort
magnitude (Pmus) and ventilator support level (Pps) in the manner of
the ratio Pps/Pmus and not by the individual values of Pps or Pmus. As
shown in Fig. 4, when the patient Pmus is predominant compared with the
ventilator support pressure, the ventilator is predisposed to be in
synchrony with the patient's expiration. In contrast, when ventilator
support pressure overwhelms the patient inspiratory effort, expiratory
asynchrony may easily occur. In addition, Younes' approach is limited
to a set of specific conditions: he only computed machine
TI for a few selected levels of resistance, compliance, and
Pmus. As a result, Younes' study only covers a range of
/TI values between ~0.3 and 0.6. As shown in Fig. 4,
this range of
/TI cannot reveal information about expiratory asynchrony in other common pathophysiological conditions outside of this limited range.
Potential Applications of This Study
Although the assumptions used in this study preclude the direct extrapolation of our data to clinical applications, some basic rules that the study has revealed may be clinically helpful. In patients with a long time constant of respiratory system, such as COPD patients, clinicians may need to set a high level of expiratory trigger sensitivity to achieve expiratory synchrony. When a patient is stabilized with a good expiratory synchrony at a given expiratory trigger sensitivity level and if clinicians suction the patient's airway (i.e., reduction in the airway resistance) or increase the Pps level, for instance, clinicians should reassure expiratory synchrony due to the change in
TI/
peak.
More importantly, our study may indicate the possibility of development
of a computer-automated expiratory trigger sensitivity feature in
future mechanical ventilators.
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APPENDIX |
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Validation of the Mathematical Model Using a Mechanical Lung Model
A mechanical lung model setup was used to validate the appropriateness of our mathematical model. The mechanical model (Michigan TTL, model 1600) consisted of two compartments in drive-dependent relationship (17). One side of TTL was driven by a Bear 5 ventilator using a sinusoidal flow pattern. The other side of TTL was connected to a Siemens 300 ventilator through a parabolic resistor (R5 or R20). The two sides of TTL were connected completely by a metal connector, which allowed the two compartments to behave like compliances in series. The pressure at the driving compartment can therefore be taken as inspiratory Pmus when the compliance of the driving lung was set at 0.2 l/cmH2O to simulate the chest wall compliance. This mechanical model simulates the interactive relationship between a ventilator and a patient who does not exhibit active expiratory effort. The compliance of the dependent lung was set to 0.08, 0.04, or 0.02 l/cmH2O. The settings of the Siemens 300 were as follows: pressure support mode, pressure support of 10 cmH2O, positive end-expiratory pressure of zero, pressure trigger sensitivity of
0.5 cmH2O, rise time of 1%. The Bear 5 was set
at continuous mandatory ventilation with TI of 1.0 s and
frequency of 10 breaths/min. The peak flow of the Bear 5 was set so that the peak flow at the airway of the dependent lung
achieved 1 l/s when the Siemens 300 was not connected.
A hot wire flow transducer (model RF-L, Minato Medical Science, Osaka,
Japan) and a pressure transducer (Heise 901A, Dresser Industries,
Stratford, CT) were placed at the Y connector of the Siemens 300 to
measure the patient Paw and flow. The same pressure and flow
transducers were placed at the Y connector of the Bear 5 to measure
Pmus max and to identify the time when the driving lung completed
inspiration. The signals from the transducers were digitized at 100 Hz
and recorded on a computer recorder (model DT2831, Data Translation,
Marlborough, MA). The flow rate at the patient airway was measured both
at its peak value (
peak) and at the
time when the driving lung completed inspiration
(
TI). Dividing
TI by
peak generated
TI/
peak
values at different levels of Pps/Pmus max and
/TI in
the mechanical lung model.
TI/
peak
values were also calculated using Eq. 5 from the
mathematical approach. Both
TI/
peak
values calculated from the mathematical model and
TI/
peak
values measured from the mechanical model were compared
(Table 3). The data indicate a favorable
consistency between the values from both models (r2 = 0.98, P < 0.01, bias: 8% ± 5%; means ± SD).
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In this study, the Siemens 300 was chosen because it has a very high pressure cycling criteria in PSV (i.e., +20 cmH2O above the target Pps level) (5). Our previous study using the same mechanical lung model (17) showed that the pressure criteria in the Siemens 300 under the above test conditions has never been activated, which allowed us to evaluate the effects of only flow termination criteria.
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ACKNOWLEDGEMENTS |
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We acknowledge the skillful assistance in computer data calculations from Tomohisa Ohtake.
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FOOTNOTES |
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The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. §1734 solely to indicate this fact.
Address for reprint requests and other correspondence: Y. Yamada, Surgical Center, The Institute of Medical Science, Univ. of Tokyo, Shiroganedai 4-6, Minato-ku, Tokyo 108, Japan (E-mail: ysyamada-tky{at}umin.u-tokyo.ac.jp).
Received 17 September 1999; accepted in final form 10 February 2000.
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REFERENCES |
|---|
|
|
|---|
1.
Aslanian, P,
and
Brochard LJ.
Partial ventilatory support.
In: Physiological Basis of Ventilatory Support, edited by Marini JJ,
and Slutsky AS.. New York: Marcel Dekker, 1998, p. 817-846.
2.
Behrakis, PK,
Higgs BD,
Baydur A,
Zin WA,
and
Milic-Emili J.
Respiratory mechanics during halothane anesthesia and anesthesia-paralysis in humans.
J Appl Physiol
55:
1085-1092,
1983
3.
Bonmarchand, G,
Chevron V,
Menard J-F,
Girault C,
Morits-Berthelot F,
Pasquis P,
and
Leroy J.
Effects of pressure ramp slope values on the work of breathing during pressure support ventilation in restrictive patients.
Crit Care Med
27:
715-722,
1999[ISI][Medline].
4.
Branson, RD,
and
Campbell RS.
Pressure support ventilation, patient-ventilator synchrony, and ventilator algorithm.
Respir Care
43:
1045-1047,
1998.
5.
Branson, RD,
and
Chatburn RL.
New generation of microprocessor-based ventilators.
In: Principles and Practice of Mechanical Ventilation, edited by Tobin MJ.. New York: McGraw-Hill, 1994, p. 1247-1256.
6.
Bunburaphong, T,
Imanaka H,
Nishimura M,
Hess D,
and
Kacmarek RM.
Performance characteristics of bilevel pressure ventilators: a lung model study.
Chest
111:
1050-1060,
1997
7.
Chao, DC,
Scheinhorn DJ,
and
Stearn-Hassenpflug M.
Patient-ventilator trigger asynchrony in prolonged mechanical ventilation.
Chest
112:
1592-1599,
1997
8.
Fabry, B,
Guttmann J,
Eberhard L,
Bauer T,
Haberthur C,
and
Wolff G.
An analysis of desynchronization between the spontaneous breathing and ventilator during inspiratory pressure support.
Chest
107:
1387-1394,
1995
9.
Garcia-Raimundo, M,
Fraga R,
Saz T,
Aguilar G,
Belda FJ,
and
Maruenda A.
Incidence and types of desynchronization between spontaneous breaths and ventilator assistance with pressure support during routine weaning from mechanical ventilation in postoperative patients (Abstract).
Crit Care Med
27:
S335,
1999.
10.
Jubran, A,
Van de Graaff WB,
and
Tobin MJ.
Variability of patient-ventilator interaction with pressure support ventilation in patients with chronic obstructive pulmonary disease.
Am J Respir Crit Care Med
152:
129-136,
1995[Abstract].
11.
MacIntyre, NR.
Respiratory function during pressure support ventilation.
Chest
89:
677-683,
1986
12.
MacIntyre, NR.
Weaning from mechanical ventilator support: volume assisting intermittent breaths vs. pressure assisting every breath.
Respir Care
33:
121-125,
1988.
13.
Milic-Emili, J,
and
Zin WA.
Relationship between neuromuscular respiratory drive and ventilatory output.
In: Handbook of Physiology. The Respiratory System. Bethesda, MD: Am. Physiol. Soc, 1986, sect. 3, vol. III, pt. 2, p. 631-646.
14.
Nava, S,
Bruschi C,
Fracchia C,
Braschi A,
and
Rubini F.
Patient-ventilator interaction and inspiratory effort during pressure support ventilation in patients with different pathologies.
Eur Respir J
10:
177-183,
1997[Abstract].
15.
Nellcor Puritan Bennett..
Nellcor Puritan Bennett 840 Ventilator Operating Manual (version A). St. Louis, MO: Mallinkrodt, 1997.
16.
Van de Graaff, WB
, Gordey K, Dornseif SE, Dries DJ, Kleinman BS, Kumar P, and Mathru M. Pressure support: changes in ventilatory pattern and components of the work of breathing.
Chest
100:
1082-1089,
1991
17.
Yamada, Y,
and
Du H-L.
Effects of different pressure support termination on patient-ventilator synchrony.
Respir Care
43:
1048-1057,
1998.
18.
Yamada, Y,
Shigeta M,
Suwa K,
and
Hanaoka K.
Respiratory muscle pressure analysis in pressure-support ventilation.
J Appl Physiol
77:
2237-2243,
1994
19.
Younes, M.
Proportional assist ventilation and pressure support ventilation: similarities and differences.
In: Ventilatory Failure, edited by Marini JJ,
and Roussos C.. Berlin: Springer, 1992, p. 361-380.
20.
Younes, M.
Patient-ventilator interaction with pressure-assisted modalities of ventilatory support.
Semin Respir Med
14:
299-322,
1993.
21.
Zin, WA,
Pengelly LD,
and
Milic-Emili J.
Single-breath method for measurement of respiratory mechanics in anesthetized animals.
J Appl Physiol
52:
1266-1271,
1982
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