New Assisted Ventilation Modes
New Assisted Ventilation Modes
ARTICLE IN PRESS
Med Intensiva. 2014;xxx(xx):xxx---xxx
www.elsevier.es/medintensiva
Department of Intensive Care Medicine, Uppsala University Hospital, Hedenstierna Laboratory, Department of Surgical Sciences,
University of Uppsala, Uppsala, Sweden
  KEYWORDS                              Abstract Recent major advances in mechanical ventilation have resulted in new exciting
  Patient---ventilation                 modes of assisted ventilation. Compared to traditional ventilation modes such as assisted-
  synchrony;                            controlled ventilation or pressure support ventilation, these new modes offer a number of
  Assisted mechanical                   physiological advantages derived from the improved patient control over the ventilator. By
  ventilation;                          implementing advanced closed-loop control systems and using information on lung mechan-
  Work of breathing                     ics, respiratory muscle function and respiratory drive, these modes are specifically designed to
                                        improve patient---ventilator synchrony and reduce the work of breathing. Depending on their
                                        specific operational characteristics, these modes can assist spontaneous breathing efforts syn-
                                        chronically in time and magnitude, adapt to changing patient demands, implement automated
                                        weaning protocols, and introduce a more physiological variability in the breathing pattern. Clin-
                                        icians have now the possibility to individualize and optimize ventilatory assistance during the
                                        complex transition from fully controlled to spontaneous assisted ventilation. The growing evi-
                                        dence of the physiological and clinical benefits of these new modes is favoring their progressive
                                        introduction into clinical practice. Future clinical trials should improve our understanding of
                                        these modes and help determine whether the claimed benefits result in better outcomes.
                                        © 2013 Elsevier España, S.L. and SEMICYUC. All rights reserved.
夽 Please cite this article as: Suarez-Sipmann F, por el Grupo de Trabajo de Insuficiencia Respiratoria Aguda de la SEMICYUC. Nuevos modos
2173-5727/$ – see front matter © 2013 Elsevier España, S.L. and SEMICYUC. All rights reserved.
                                    específicas de cada modo, estos pueden ayudar en los esfuerzos respiratorios espontáneos del
                                    paciente de forma sincronizada en tiempo y magnitud, adaptarse a sus demandas, realizar
                                    protocolos automatizados de reducción del soporte y devolver al patrón respiratorio una vari-
                                    abilidad más fisiológica. El clínico tiene ahora a su disposición modos que permiten individualizar
                                    y optimizar la asistencia ventilatoria mecánica en la compleja transición de la ventilación con-
                                    trolada a la ventilación espontánea-asistida. La creciente evidencia de las ventajas fisiológicas
                                    y clínicas de estos nuevos modos así como las nuevas posibilidades de monitorización que ofre-
                                    cen, están llevando a su paulatina introducción en la práctica diaria. Futuros estudios permitirán
                                    aumentar nuestro conocimiento acerca de estos modos y deberán determinar si sus beneficios
                                    se traducen en mejores resultados clínicos.
                                    © 2013 Elsevier España, S.L. y SEMICYUC. Todos los derechos reservados.
Assisted ventilation has the difficult task of harmonizing           These modes are represented by PAV and NAVA, and have
the operation of two complex systems, i.e., patient and             opened a new range of possibilities for assisted ventilation.
ventilator---each with its own control center and ventilatory       Based on solid physiological principles, these techniques
pump (Fig. 1). The respiratory control system (RCS) is              offer a series of theoretical advantages that make them
composed of an automatic system and a voluntary system.             particularly attractive for improving patient---ventilator
+Model
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New modes of assisted mechanical ventilation                                                                                          3
Patient Ventilator
                                                                                                   Pressure (cmH2O)
                                              Chemoreceptors
Automatic
                                                                                                   Flow (l/sec)
                    control system
                                                        Chemoreceptors
                                                        Stretch receptors
                                                        Muscle receptors
                                        Efferents
                                                                   Muscle
                                                                   pump
Figure 1 Principles of patient---ventilator interaction. Assisted ventilation has the difficult task of harmonizing the operation of
two complex systems, i.e., patient and ventilator---each with its own control center and ventilatory pump. The respiratory control
system (RCS) is complex, and is composed of an automatic system and a voluntary system. The afferents transmit the stimuli from
the sensors (central and peripheral chemoreceptors, stretch receptors and muscle receptors) to the control system, regulating the
neural respiratory impulse. The automatic control system emits the efferents (motor neurons) that activate and regulate the muscle
pump. The voluntary system in turn can modulate the activity of the automatic system or directly activate the muscle pump.
synchrony. This is because in these modes the RCS of                        require sufficient patient alertness and functional integrity
the patient takes control of the respirator and is free                     of the RCS, which is affected by sedation.
to determine its own respiratory pattern. Consequently,
none of the entities such as volume, pressure and flow are
                                                                            Proportional assist ventilation
pre-established; rather the ventilator simply assists the
pattern chosen by the patient. In both of the mentioned
                                                                            Proportional assist ventilation (PAV) was introduced in the
modes the ventilator functions as an additional muscle,
                                                                            early nineties,6 and represents a synchronized assist ven-
proportionally assisting the instantaneous efforts of the
                                                                            tilation mode in which the ventilator provides pressure
patient over the entire inspiratory phase. In addition, and in
                                                                            assistance proportional to the instantaneous effort of the
contrast to the other modes, ventilatory assist ceases at the
                                                                            patient.
same time as patient effort. This affords improved harmony
between the mechanical and neural ventilatory times.
   Upon taking control of the RCS, the ventilatory pattern                  Principles of proportional assist ventilation
recovers the characteristic variability of the natural res-
piratory pattern. Furthermore, under conditions in which                    In the PAV system the ventilator detects the inspiratory
the RCS is functionally intact, the afferents from the                      effort of the patient by precisely measuring the flow and
chemical and neural sensors modulate the intensity and                      volume leaving the ventilator toward the patient. Both
characteristics of the respiratory impulse. This implies that               parameters are conditioned by the inspiratory decrease
both PAV and NAVA theoretically pose a lesser risk of under-                in alveolar pressure which the patient generates through
or over-assistance, which often constitutes a cause of                      muscle contraction. The flow and volume are amplified by
asynchrony with the traditional modes.5 Both assist modes                   respective adjustable gain controls, and the sum of both
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                                             ARTICLE IN PRESS
4                                                                                                                              F. Suarez-Sipmann
                                                                                      Pressure (cmH2O)
                                                                                    Flow (l/sec)
                                 P elastic
Piston
                                                                                                                               3
                  Pmus                                           Paw   1                                          Motor
Palv P resistive
                                                                             Flow                        Volume       AV
                                                                                                                  2
                                                                                                                      AF
Figure 2 Schematic representation of the PAV system. The PAV mode affords assistance proportional to effort through the contin-
uous measurement of the flow and volume (1) leaving the ventilator toward the patient, conditioned to the muscle pressure (Pmus)
generated by the patient and which leads to a decrease in alveolar pressure (Palv ). The flow and volume are amplified (AF and AV) by
adjustable gain controls (2), and the sum of both signals conforms the input control signal (3) that generates the pressure response
of the ventilator motor. The latter drives the piston, causing the ventilator to respond with rapid flow delivery to the patient in
proportion to his or her Palv , overcoming the elastic and resistive pressure. The pressure-time and flow-time curves resulting from
the mechanical cycle (4) show that the pressurization pattern is gradual, reaching the maximum value at the end of inspiration,
and exhibiting proportionality at all times. Note that expiratory cycling coincides with the drop in inspiratory pressure, i.e., the
cessation of inspiratory effort (second broken line), and the more physiological sinusoidal morphology of flow of the inspiratory
phase.
constitutes the control signal that generates the pressure             by the ventilator is determined by the sum of the flow and
response of the ventilator. The latter reacts with the rapid           volume assistance:
delivery of flow in response to this control signal (Fig. 2).
   The proportionality of the assistance is determined by              Pvent = (%Flow assistance) × Resistance
the motion equation of the respiratory system. According
                                                                               + (% Volume assistance) × Elastance
to this equation, the total pressure that must be applied
to insufflate the lung must overcome the resistive pressure
(flow × resistance) and the elastic retraction pressure (vol-
                                                                          Because of the changing nature of respiratory mechan-
ume × elastance) of the respiratory system:
                                                                       ics, the system requires frequent measurement of elastance
                                                                       and resistance. There is consequently a risk of excessive
Ptotal = flow × resistance + volume × elastance                         or insufficient assistance in cases of estimation error or a
                                                                       lack of concordance between the estimated and the actual
   During assisted ventilation, the total pressure is the sum          values. In the event of over-estimation, compensation is
of the pressure generated by muscle contraction of the                 excessive, and the expiratory cycle may be delayed, pro-
patient (Pmus ) and the pressure generated by the ventilator           longing assistance beyond the cessation of inspiratory effort
(Pvent ).                                                              on the part of the patient---this being known as the ‘‘run-
                                                                       away’’ phenomenon.7,8
Ptotal = Pmus + Pvent                                                     A simplified and improved form has recently been
                                                                       introduced, called proportional assist ventilation with load-
   The levels of flow and volume assistance are adjusted                adjustable gain factors, or PAV+. This mode offers two
independently by the user. This requires an estimation of              essential improvements: (1) the noninvasive and semi-
the passive mechanical characteristics, resistance and elas-           continuous measurement of respiratory mechanics, allowing
tance, at the start of adjustment and on an intermittent               automatic closed-loop adjustment of the assist level. This
basis. Once these are known, the pressure assist afforded              measurement is made by introducing brief pauses (300 ms)
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New modes of assisted mechanical ventilation                                                                                  5
at the end of inspiration every 8---15 respirations to esti-      in patients with dynamic hyperinsufflation and intrinsic
mate resistance9 and elastance10 ; and (2) the automatic          positive-end expiratory pressure (PEEP) as the traditional
adjustment of a single level of flow and volume assistance         modes. Although expiratory cycling, based on flow, accom-
that becomes a constant fraction of the measured values of        panies the cessation of inspiratory effort, expiratory
resistance and elastance.                                         asynchronies have been described particularly with high
                                                                  assist levels.19
Functioning of proportional assist ventilation with                  The PAV mode can also be used in noninvasive ventilation
                                                                  (NIV). Compared with PSV, mainly in patients with chronic
load-adjustable gain factors (PAV+)
                                                                  obstructive pulmonary disease (COPD), PAV usually affords
                                                                  higher levels of tolerance, a better physiological response,
During ventilation in PAV+ mode, we simply need to adjust
                                                                  and fewer complications.20---22 However, PAV has not been
the percentage by which the ventilator must assist patient
                                                                  associated with a decrease in the need for intubation in
effort. Accordingly, an assist level of 70% means that the
                                                                  comparison with PSV. This could be related to the fact that
ventilator will contribute 70% to the total pressure reached,
                                                                  leakage---the main cause of disadaptation and asynchrony
leaving the remaining 30% to the patient. The proportional-
                                                                  during NIV23 ---equally affects triggering in PAV and in PSV.
ity is simplified as follows:
PAV and PAV+: clinical characteristics                            Neurally adjusted ventilatory assist (NAVA) is a new assisted
                                                                  ventilation mode synchronized and proportional to the
Many clinical studies have compared the physiological             effort of the patient that has become available only in
advantages of PAV versus conventional assist modes. Marantz       the last few years.25 As control signal for both assist and
et al.7 characterized the physiological response to PAV           for inspiratory and expiratory cycling of the ventilator, this
among patients dependent upon mechanical ventilation.             mode uses the electrical activity of the diaphragm (EAdi).
They found that during PAV, in the absence of limitations         The latter is recorded via transesophageal electromyogra-
imposed by respiratory mechanics, the RCS of the patient          phy using a modified nasogastric tube, also known as an
determines the tidal volume (Vt ) and the frequency in            EAdi catheter, which is similar in size and function to a
response to variable assist levels. The patients tend to lower    conventional nasogastric tube but equipped with several
Vt and to increase the frequency in order to maintain the         microelectrodes at the distal tip for recording EAdi. Correct
chosen minute volume. This results in a reduction of the          positioning of the catheter is carried out using the trans-
inspiratory pressures.                                            esophageal electrocardiographic signal recorded through
   With respect to pressure support ventilation (RSV),            the same electrodes as a guide. The operator can check cor-
PAV has shown similar muscle discharge11---14 and better          rect positioning (at the esophageal hiatus) on the ventilator
hypercapnia compensation.15 In response to an increase            screen, based on a simple algorithm.26
in elastic loading of 30%, Kondili et al.16 recorded
greater efficiency in compensation (lesser increase of the         The electrical activity of the diaphragm
work of breathing) with PAV+ than with PSV. Xirouchaki
et al. compared the effectiveness of PSV versus PAV+              The utilization of EAdi for control of the ventilator has a
in maintaining critical patients dependent upon mechan-           series of theoretical advantages. In effect, EAdi is a signal
ical ventilation in assisted ventilation. They found PAV+         that directly (i.e., without calculations or estimates) mea-
to significantly increase the probability of remaining with        sures the efferents from the RCS, integrating the sum of
spontaneous ventilation, in addition to considerably redu-        time and space of the neural respiratory impulse that results
cing patient---ventilator asynchrony.17 Thanks precisely to       in diaphragmatic activation.27 The amplitude of the signal
a decrease in patient---ventilator asynchrony, Bosma et al.       depends on the degree of recruitment and on the inten-
showed PAV to afford superior sleep quality, with fewer dis-      sity and frequency of triggering of the motor units, and
ruptions, in comparison with PSV.18                               consequently reflects the intensity with which the patient
   The PAV system depends on pneumatic triggering, and            wishes to breathe.27,28 From its origin, the signal takes less
therefore has the same limitations for inspiratory cycling        than 20 ms in triggering the mechanical response of the
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                                                              ARTICLE IN PRESS
6                                                                                                                                             F. Suarez-Sipmann
                A                                                                                             B
                                                                                                                                 25
                                                                                                              Pressure (cmH2O)
                                                                                                                                 20
                12
                                                            EAdi peak                                                            15
                                                                        Expiratory cycling
                10                                                      70% of max EAdi                                          10
                                                                                                                                 5
                8                                                                                                                0
    EAdi (µV)
                                                                                                                                 60
                6                                                                                                                40
                                                                                                               Flow (l/min)
                                                                                                                                 20
                4                                                                                                                0
                       Inspiratory cycling
                     (EAdi exp + 0.5 to 2 µV)                                                                                    20
                2                                                                                                                40
                      EAdi expiratory
                                                                                                                                 60
                0
                                                                                                                                 14
                                                                                                                                 12
                                                                                                                                 10
                                                                                                                   Edi (µV)
                                                                                                                                  8
                                                TI neural                                TE neural
                                                                                                                                  6
                                                                                                                                  4
                                                  TI mechanical                          TE mechanical
                                                                                                                                  2
                                                                                                                                  0
                                                                                                                                                      Time
Figure 3 EAdi signal and characteristic respiratory curves during ventilation in NAVA. (A) EAdi signal. The start of inspiration is
given by the increase in EAdi activity (first broken line) from the expiratory activity, which under normal conditions is 0. At the
point where EAdi reaches a threshold value (first dotted line), the ventilator starts assist until EAdi drops to 70% of the maximum
value (second dotted line). The neural inspiratory time comprises the period between the two solid lines, and ends when EAdi
reaches its maximum value. The mechanical ventilatory time comprises the period between the two broken lines (inspiratory and
expiratory cycling). Note that although minimal, there is a phase lag in the time between the neural and mechanical times due to
the imposed cycling criteria. (B) The curves corresponding to pressure, flow and EAdi of a cycle show the perfect inspiratory (first
broken line) and expiratory cycling synchrony produced immediately after the start of the neural time of the patient, in relation
to the cessation of inspiratory effort. In the same way as in PAV, pressurization is gradual, and in NAVA follows or parallels the
morphology of the inspiratory phase of EAdi. The NAVA level is 1, and we can see that the end-inspiratory pressure reached is
22 cmH2 O, which corresponds to EAdi (=12) × NAVA level (=1) + PEEP level (=10).
Adapted from Suarez-Sipmann et al.30 .
diaphragm29 ---this being about three to four times faster than                                      is determined by a proportionality constant adjusted by
the pneumatic trigger response time of modern ventilators.                                           the operator, called the NAVA level, which amplifies the
It is therefore the signal closest to the origin of the respira-                                     instantaneous progression of EAdi during the inspiratory
tory stimulus that current technology is able to offer.                                              phase. The pressure in the airway (Paw ) over the level of
                                                                                                     PEEP, in each moment during inspiration, is expressed as
                                                                                                     follows:
Functioning of the NAVA system
                                                                                                     Paw = EAdi (V) × level − NAVA + PEEP
During NAVA, inspiratory cycling is determined by the detec-
tion of the elevation of EAdi over the expiratory level, with a
sensitivity threshold determined by the operator. Expiratory                                             Different methods have been proposed for adjusting the
cycling occurs when EAdi decreases to 70% of the maxi-                                               NAVA level, which theoretically should be that affording an
mum inspiratory value (Fig. 3). This allows adjustment of                                            adequate level of muscle discharge. Brander et al. have
the duration of the mechanical inspiratory and expiratory                                            described a method based on the response of Vt and Paw
times to the neural inspiratory and expiratory times of the                                          to ascending NAVA levels.31 Starting from low levels, the
patient determined by the RCS, in a way which no other ven-                                          authors described a double response comprising a gradual
tilatory mode is able to do.30 In addition, the NAVA system                                          increase to a certain NAVA level beyond which Vt and Paw
eliminates the limitations of pneumatic triggering, since it is                                      reach a plateau. The optimum NAVA level would be that
not affected by leakages or the presence of dynamic hyper-                                           coinciding with transition from an ascending phase to the
insufflation. This defines NAVA as the ventilatory mode which                                          plateau phase of the Vt and Paw values. Roze et al. in turn
theoretically offers the greatest level of patient---ventilator                                      have proposed adjustment to a NAVA level that reaches 60%
synchrony.                                                                                           of the maximum EAdi obtained after a standardized test with
    In the same way as during PAV, the inspiratory assist is                                         minimum assist (pressure support ventilation with 7 cmH2 O
at all times proportional to the effort of the patient and                                           and PEEP 0) with a duration of 1 h.32
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New modes of assisted mechanical ventilation                                                                                                                                                        7
30 40 0.6
                       25                                                            35                                                           0.5
    Paw peak (cmH2O)
                                                                    RR flow (bpm)
                                                                                     30                                                           0.4
                       20
                                                                                                                                     CV TV
                                                                                     25                                                           0.3
                       15
                                                                                     20                                                           0.2
                       10                                                                                                                         0.1
                                                                                     15
                        5                                                            10                                                           0.0
                            0.5 1 1.5 2 2.5 3   4   4   8   12 16                         0.5 4 1.5 2 2.5 3    4   4   8   12 16                        0. 5 1    1. 5 2 2.5 3    4   4   8 12 16
                                 NAVA level             PS                                    NAVA level               PS                                        NAVA level               PS
                       14                                                            22                                                           0.7
                                                                                     20
                       12                                                            18                                                           0.6
                                                                                     16
       TV/Kg (ml/Kg)
                                                                                                                                   CV EAdi peak
                       10                                                            14                                                           0.5
                                                                                     12
                        8                                                                                                                         0.4
                                                                                     10
                        6                                                             8
                                                                                                                                                  0.3
                                                                                      6
                        4                                                             4                                                           0.2
                                                                                      2
                        2                                                             0                                                           0.1
                            0.5 1 1.5 2 2.5 3   4   4   8   12 16                         0.5 1 1.5 2 2.5 3    4   4   8   12 16                        0.5 1 1.5     2   2.5 3   4   4   8 12 16
                                 NAVA level             PS                                     NAVA level              PS                                        NAVA level               PS
Figure 4 Effect of different NAVA levels and pressure support. Note that in NAVA, and in contrast to pressure support ventilation
(PSV), greater assist levels do not increase the tidal volume or decrease the respiratory frequency, and the pressure in the airway
reaches a plateau with higher assist levels---corresponding to a decrease in EAdi. The increase in assist is accompanied by increased
variability in tidal volume in NAVA, while it decreases in PSV. PS: pressure support ventilation; EAdi: electrical activity of the
diaphragm; CV EAdi peak: coefficient of variation of the electrical activity of the diaphragm; CV TV: coefficient of variation of the
tidal volume; Paw : pressure in the airway; RR: respiratory frequency; TV/kg: tidal volume per kg ideal weight. *p < 0.05 versus the
lowest assist level for the same ventilatory mode. **p < 0.05 versus the highest assist level for the same ventilatory mode.
Adapted from Patroniti et al.38 .
NAVA: clinical characteristics                                                                                  The NAVA mode has been shown to facilitate assisted ven-
                                                                                                            tilation also in patients with seriously impaired respiratory
Several clinical studies have evaluated and compared                                                        function. In this respect, the NAVA mode reduced asynchrony
the physiological response to NAVA. These studies                                                           in patients subjected to extracorporeal oxygenation support
have consistently recorded significant improvement in                                                        and with severely impaired lung distensibility37 versus PSV,
patient---ventilator synchrony, a lesser over-assistance                                                    and achieved better auto-regulation of PCO2 during weaning
tendency, and greater variability of the respiratory pattern                                                from extracorporeal oxygenation41 ---in both cases maintain-
in comparison with PSV in different groups of patients.33---40                                              ing protective ventilatory parameters with low Vt values.
Ineffective effort, i.e., inspiratory effort of the patient that                                                Because of its operating characteristics, NAVA may be
is not accompanied by mechanical assist, virtually disap-                                                   particularly interesting in the context of NIV, since it is not
pears with NAVA.34 Likewise, in contrast to PSV, increments                                                 affected by leakages. In this regard, Piquilloud et al.42 and
in assist level have been shown to exert less effect upon                                                   Bertrand et al.43 reported a significant reduction of asyn-
the inspiratory and expiratory cycling times,35 ensuring                                                    chronies with NAVA versus PSV during NIV both in patients
better synchrony over a broad assist range. Patroniti et al.38                                              with exacerbated COPD and in hypoxemic patients.
have published a detailed description of the ventilatory
pattern during NAVA. In patients with respiratory failure,
the authors compared the response to increasing NAVA                                                        NAVA and monitoring
levels with increasing PSV levels (Fig. 4). With NAVA, the
patients maintained similar Vt and respiratory frequency                                                    The EAdi signal offers new and interesting possibilities in
values, even with high assist levels, despite an increase in                                                respiratory monitoring. By affording a direct and continuous
Paw , which corresponded to a decrease in EAdi. In contrast,                                                measure of the central respiratory stimulus of the patient,
during PSV, both Vt and pressure increased (up to >100%                                                     the signal allows us to evaluate the response to changes in
with the maximum level), while the frequency and EAdi                                                       assist level, detect apneas, evaluate sedation effects, and
decreased.                                                                                                  also assess the neural respiratory stimulus. EAdi is the best
   In the same way as during PAV, studies with NAVA have                                                    tool available for monitoring patient---ventilator synchrony,
shown that patients tend to select a protective tidal volume                                                since it offers direct information on the neural inspiratory
(6 ml/kg) with moderate assist levels and a generally higher                                                and expiratory times and their relation to the mechanical
respiratory frequency.                                                                                      times. It allows us to determine the neural frequency (the
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8                                                                                                            F. Suarez-Sipmann
real frequency of the patient), thereby enhancing the value           Figure 5 schematically represents the principles of the
of this variable in determining the degree of patient stress      functioning and control system of ASV. The operator estab-
or wellbeing. A number of indices derived from the EAdi           lishes a target percentage minute-volume based on the body
signal have recently been described. Neuroventilatory effi-        weight of the patient.
ciency, measured as Vt /EAdi, indicates the capacity of the
diaphragm to generate volume, standardized with respect to
the neuronal stimulus. In one same parameter it integrates                  % Vmin × ideal weight
                                                                  Vmin =
information on the respiratory stimulus, diaphragmatic                     1000 in adult patients
function, and respiratory loading, and has been shown to
be a good predictor of weaning.44,45 Neuromechanical effi-
ciency, measured as Paw /EAdi during an occlusion in which            Under normal conditions, % Vmin is 100%, with the possi-
the patient inhales against a closed valve, provides an esti-     bility of choosing between 25 and 300%, depending on the
mate of the capacity of the diaphragm to generate force in        conditions of the patient.
relation to the neural inspiratory effort. Based on neurome-          It should be remembered here that minute-volume is the
chanical efficiency, Bellani et al. have derived a method to       sum of the alveolar ventilation volume (the ‘‘effective’’
estimate Pmus from EAdi, thereby producing more objective         volume) and the dead space volume. Accordingly, ASV incor-
information for determining the best NAVA level.46                porates the estimation of dead space in its algorithm, and
                                                                  which the system assumes to be 2.2 ml/kg. The ASV sys-
                                                                  tem then adjusts the level of pressure and respiratory
Automated modes adaptable to patient                              frequency cycle-to-cycle, following its algorithm to main-
demands                                                           tain the ventilatory pattern according to the established
                                                                  target minute-volume, in consistency with the mechanical
These modes encompass closed-loop control modes that              characteristics of the respiratory system and the spon-
incorporate algorithms and control rules which transfer           taneous respiratory frequency of the patient. Inspiratory
physiological and clinical reasoning principles to auto-          cycling uses the conventional pneumatic trigger by pressure
mated assist protocols. According to different physiological      or flow, while expiratory cycling is by flow as in the case of
and clinical objectives, these modes automatically adjust         PSV.
the pressure or minute-volume levels administered to the
patient, adapting to the needs of the latter over time.
Adaptive support ventilation (ASV) performs cycle-to-cycle
adjustments of tidal volume (through changes in pressure)         ASV: clinical characteristics
and respiratory frequency, adapting them to changes in
respiratory mechanics. NeoGanesh or SmartCareTM in turn           Due to its ‘‘mixed’’ nature, ASV has been studied both as
performs adjustments, in cycles of several minutes, in deliv-     controlled mode and as assist mode. Most clinical studies
ered pressure support ventilation, adapting the levels to the     have focused on examining ASV under passive ventilation
changing conditions of the patient. The aim is to simulate        (controlled) conditions, comparing it with other modes,
clinical reasoning in order to avoid under- or over-assistance    and specifically evaluating whether ASV yields protective
and to achieve a decrease of the automated support.               parameters (low Vt and Paw ) in an automated and efficient
                                                                  way.
                                                                      As assist mode (which is what interests us in this review),
Adaptive support ventilation
                                                                  ASV has been studied mainly as a mode designed to facili-
                                                                  tate weaning. It has been shown to be a safe and effective
Adaptive support ventilation (ASV), described in the early
                                                                  technique that simplifies the weaning process in the post-
nineties, is based on the physiological principle described
                                                                  operative period of heart surgery49---51 and in patients with
by Otis and Mead47,48 which establishes that for a given level
                                                                  COPD,52 and is moreover associated with a lesser consump-
of alveolar ventilation there is an optimum respiratory fre-
                                                                  tion of resources. In comparative studies, ASV has not been
quency that results in less work of breathing---a kind of ‘‘law
                                                                  found to shorten the mechanical ventilation times in heart
of minimum effort’’. According to this principle, in order
                                                                  surgery,50,51 though shortened times have been recorded in
to reach one same alveolar ventilation level at very low
                                                                  COPD patients, where Kirakli et al. observed a shortening of
frequencies, we require a greater Vt , increasing the work
                                                                  the weaning time of over 24 h compared with PSV.53
to overcome the elastic load of the respiratory system. In
                                                                      The best comparative clinical study to date on the effect
contrast, at high frequencies, the work of breathing must
                                                                  of ASV upon patient---ventilator synchrony was published by
increase to overcome the resistive load, with a pattern cha-
                                                                  Tassaux et al. In comparison with synchronized intermittent
racterized by rapid shallow breathing. Between these two
                                                                  ventilation (SIMV-PSV), these authors found ASV to improve
extremes lies the optimum combination of frequency and
                                                                  synchrony, reducing the muscle load for a similar delivered
volume for achieving the desired alveolar ventilation.
                                                                  minute-volume.54
                                                                      The ASV mode has recently received improvements, with
Functioning of ASV                                                addition to the algorithm of closed-loop control for end-
                                                                  expiratory CO2 (etCO2 )55 and oxygen saturation. The result
Unlike the other examined modes, ASV in fact is a mixed           is an evolved ASV system called IntelliVentTM , which allows
mode that can function as a controlled or assisted mode           us to implement a protective ventilatory strategy in both
according to the contribution of the patient.                     the control phase and in assistance to weaning.56
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New modes of assisted mechanical ventilation                                                                                          9
                                                                                                         Calculation of
                               I:E                                                                   respiratory frequency
                                Tidal
                               volume
                                          Pinsp            Pinsp
                                          FR               FR
                                 VT
                               Target
                                          Pinsp            Pinsp                      IsoVM
                                          FR               FR                          curve
                                                   FR                          Respiratory
                                                  Target                       frequency
Figure 5 Functioning of ASV. Before starting, the clinician enters the data referred to patient weight, percentage minute-volume
(estimated a priori according to the patient and disease condition), FiO2 , PEEP and the maximum inspiratory pressure limit (Pmax ).
Analysis of the flow-volume curve determines the expiratory time constant, and minimum squares fitting is used to calculate the
respiratory mechanics and the presence of intrinsic PEEP. The closed-loop control algorithm of the ASV system adjusts the inspiratory
pressure according to the iterative equation derived from Otis and Mead. The combinations of target minute-volume and frequency
are continuously adjusted to reach and keep the patient on the minute-isovolumetric curve (IsoVM).
Adapted from Tassaux et al.54 .
Automated adjustment of pressure support:                                 weaning process. This zone of wellbeing is derived from the
NeoGanesh-SmartCareTM                                                     patient characteristics (body weight, type of illness, size of
                                                                          the endotracheal tube, type of humidifier). The values are
NeoGanesh and its commercial version SmartCareTM consti-                  entered by the clinician in the ventilator, and determine the
tute an automated, knowledge-based weaning technique.                     limits of Vt , frequency and etCO2 , and the PSV adjustments
The control algorithm incorporates rules for action based                 required. The automated weaning protocol involves auto-
on clinical reasoning, in an attempt to reproduce the PSV                 mated adaptation of the PSV level followed by an automated
adjustments which the clinician would decide in the same                  PSV reduction phase, and finally an automated spontaneous
context.                                                                  breathing test.
The control algorithm of the system uses the values of                    SmartCareTM is able to facilitate the weaning process,
Vt , respiratory frequency and etCO2 . These values are                   reducing resource consumption and shortening the time
averaged every two minutes (every 5 min in the case of                    on mechanical ventilation. Clinical studies have reported
changes in pressure level) and provide the algorithm with                 somewhat discordant findings in relation to such benefits,
a ‘‘ventilatory diagnosis’’. The system responds as follows:              depending on whether the control group included57 or did
(1) it reduces the level of PSV in the case of diagnosed over-            not include58 weaning protocols and sufficient resources
assist (e.g., the combination of high Vt with low frequency               (patient/nurse ratio).59 In the most recent multicenter study
and etCO2 ); (2) it increases assist in the event of insuffi-              involving 92 patients with over 24 h of mechanical ventila-
cient assistance (increasing frequency together with other                tion, automated weaning shorted the duration of mechanical
additional criteria); and (3) it introduces no changes in the             ventilation by one day, and also lessened the need for
case of normal ventilation. The aim is to move the patient                tracheostomy compared with a protocolized conventional
toward a zone of respiratory wellbeing in order to start the              weaning group.60
+Model
                                          ARTICLE IN PRESS
10                                                                                                                 F. Suarez-Sipmann
Variable pressure support ventilation (noisy                       capacity to adapt to the changing patient needs. The new
ventilation)                                                       modes allow the patient a total control of the ventilatory
                                                                   process, causing the ventilator to act as an accessory muscle
Variability is an intrinsic characteristic not only of the res-    in synchrony with patient inspiratory effort. New modes that
piratory system but also of any complex biological system,         incorporate increasingly complex closed-loop or knowledge-
and the loss of such variability is generally associated with      based control systems are paving the way toward gradual
functional impairment.61 There is a growing evidence of the        automatization of the mechanical ventilation process. It
beneficial effect of variability, understood as cycle-to-cycle      can be expected that such modes and automatization will
changes in Paw and Vt and/or respiratory frequency, upon           gradually find their way into routine clinical practice. The
the respiratory system.62 All the new assist modes described       results of future studies will help us to better define their
thus far introduce respiratory variability, the latter being       advantages, indications and benefits in assisting patients
determined to one degree or other by the patient. Variable         subjected to mechanical ventilation.
pressure support ventilation (V-PSV) introduces random vari-
ability in the levels of pressure support ventilation, resulting
in a ventilatory pattern that is variable but independent of
                                                                   Conflicts of interest
the demands of the patient and his or her inspiratory effort.
                                                                   The author serves as a consultant to Maquet Critical Care.
13. Ranieri VM, Grasso S, Mascia L, Martino S, Fiore T, Brienza           30. Suárez-Sipmann F, Pérez Márquez M, González Arenas P. New
    A, et al. Effects of proportional assist ventilation on inspi-            modes of ventilation: NAVA. Med Intensiva. 2008;32:398---403.
    ratory muscle effort in patients with chronic obstructive             31. Brander L, Leong-Poi H, Beck J, Brunet F, Hutchison SJ,
    pulmonary disease and acute respiratory failure. Anesthesiol-             Slutsky AS, et al. Titration and implementation of neurally
    ogy. 1997;86:79---91.                                                     adjusted ventilatory assist in critically ill patients. Chest.
14. Grasso S, Puntillo F, Mascia L, Ancona G, Fiore T, Bruno F,               2009;135:695---703.
    et al. Compensation for increase in respiratory workload during       32. Rozé H, Lafrikh A, Perrier V, Germain A, Dewitte A, Gomez
    mechanical ventilation. Pressure-support versus proportional-             F, et al. Daily titration of neurally adjusted ventilatory assist
    assist ventilation. Am J Respir Crit Care Med. 2000;161:                  using the diaphragm electrical activity. Intensive Care Med.
    819---26.                                                                 2011;37:1087---94.
15. Ranieri VM, Giuliani R, Mascia L, Grasso S, Petruzzelli V, Puntillo   33. Colombo D, Cammarota G, Bergamaschi V, De Lucia M, Corte
    N, et al. Patient---ventilator interaction during acute hypercap-         FD, Navalesi P. Physiologic response to varying levels of pressure
    nia: pressure-support vs proportional-assist ventilation. J Appl          support and neurally adjusted ventilatory assist in patients with
    Physiol. 1996;81:426---36.                                                acute respiratory failure. Intensive Care Med. 2008;34:2010---8.
16. Kondili E, Prinianakis G, Alexopoulou C, Vakouti E, Klimathi-         34. Piquilloud L, Vignaux L, Bialais E, Roeseler J, Sottiaux
    anaki M, Georgopoulos D. Respiratory load compensation during             T, Laterre P-F, et al. Neurally adjusted ventilatory assist
    mechanical ventilation----proportional assist ventilation with            improves patient---ventilator interaction. Intensive Care Med.
    load-adjustable gain factors versus pressure support. Intensive           2010;37:263---71.
    Care Med. 2006;32:692---9.                                            35. Spahija J, de Marchie M, Albert M, Bellemare P, Delisle S, Beck
17. Xirouchaki N, Kondili E, Vaporidi K, Xirouchakis G, Klimathianaki         J, et al. Patient---ventilator interaction during pressure support
    M, Gavriilidis G, et al. Proportional assist ventilation with load-       ventilation and neurally adjusted ventilatory assist. Crit Care
    adjustable gain factors in critically ill patients: comparison with       Med. 2010;38:518---26.
    pressure support. Intensive Care Med. 2008;34:2026---34.              36. Terzi N, Pelieu I, Guittet L, Ramakers M, Seguin A, Daubin
18. Bosma K, Ferreyra G, Ambrogio C, Pasero D, Mirabella L,                   C, et al. Neurally adjusted ventilatory assist in patients
    Braghiroli A, et al. Patient---ventilator interaction and sleep           recovering spontaneous breathing after acute respiratory dis-
    in mechanically ventilated patients: pressure support ver-                tress syndrome: Physiological evaluation. Crit Care Med.
    sus proportional assist ventilation. Crit Care Med. 2007;35:              2010;38:1830---7.
    1048---54.                                                            37. Mauri T, Bellani G, Grasselli G, Confalonieri A, Rona R, Patroniti
19. Du H-L, Ohtsuji M, Shigeta M, Chao DC, Sasaki K, Usuda Y, et al.          N, et al. Patient---ventilator interaction in ARDS patients with
    Expiratory asynchrony in proportional assist ventilation. Am J            extremely low compliance undergoing ECMO: A novel approach
    Respir Crit Care Med. 2002;165:972---7.                                   based on diaphragm electrical activity. Intensive Care Med.
20. Gay PC, Hess DR, Hill NS. Noninvasive proportional assist ven-            2013;39:282---91.
    tilation for acute respiratory insufficiency. Comparison with          38. Patroniti N, Bellani G, Saccavino E, Zanella A, Grasselli G, Isgrò
    pressure support ventilation. Am J Respir Crit Care Med.                  S, et al. Respiratory pattern during neurally adjusted ventilatory
    2001;164:1606---11.                                                       assist in acute respiratory failure patients. Intensive Care Med.
21. Wysocki M, Richard J-C, Meshaka P. Noninvasive proportional               2012;38:230---9.
    assist ventilation compared with noninvasive pressure support         39. Vagheggini G, Mazzoleni S, Vlad Panait E, Navalesi P, Ambrosino
    ventilation in hypercapnic acute respiratory failure. Crit Care           N. Physiologic response to various levels of pressure sup-
    Med. 2002;30:323---9.                                                     port and NAVA in prolonged weaning. Respir Med. 2013;107:
22. Fernández-Vivas M, Caturla-Such J, González de la Rosa                    1748---54.
    J, Acosta-Escribano J, Alvarez-Sánchez B, Cánovas-Robles J.           40. Blankman P, Hasan D, van Mourik MS, Gommers D. Ventilation
    Noninvasive pressure support versus proportional assist ven-              distribution measured with EIT at varying levels of pressure sup-
    tilation in acute respiratory failure. Intensive Care Med.                port and neurally adjusted ventilatory assist in patients with
    2003;29:1126---33.                                                        ALI. Intensive Care Med. 2013;39:1057---62.
23. Vignaux L, Vargas F, Roeseler J, Tassaux D, Thille AW, Kossowsky      41. Karagiannidis C, Lubnow M, Philipp A, Riegger GAJ, Schmid
    MP, et al. Patient---ventilator asynchrony during non-invasive            C, Pfeifer M, et al. Autoregulation of ventilation with neu-
    ventilation for acute respiratory failure: a multicenter study.           rally adjusted ventilatory assist on extracorporeal lung support.
    Intensive Care Med. 2009;35:840---6.                                      Intensive Care Med. 2010;36:2038---44.
24. Ruiz-Ferrón F, Machado J, Morante A, Galindo S, Castillo              42. Piquilloud L, Tassaux D, Bialais E, Lambermont B, Sotti-
    A, Rucabado L. Respiratory work and pattern with dif-                     aux T, Roeseler J, et al. Neurally adjusted ventilatory assist
    ferent proportional assist ventilation levels. Med Intensiva.             (NAVA) improves patient---ventilator interaction during non-
    2009;33:269---75.                                                         invasive ventilation delivered by face mask. Intensive Care Med.
25. Sinderby C, Navalesi P, Beck J, Skrobik Y, Comtois N, Friberg             2012;38:1624---31.
    S, et al. Neural control of mechanical ventilation in respiratory     43. Bertrand P-M, Futier E, Coisel Y, Matecki S, Jaber S, Constantin
    failure. Nat Med. 1999;5:1433---6.                                        J-M. Neurally adjusted ventilatory assist vs pressure support
26. Barwing J, Ambold M, Linden N, Quintel M, Moerer O. Evalua-               ventilation for noninvasive ventilation during acute respiratory
    tion of the catheter positioning for neurally adjusted ventilatory        failure: a crossover physiologic study. Chest. 2013;143:30---6.
    assist. Intensive Care Med. 2009;35:1809---14.                        44. Liu L, Liu H, Yang Y, Huang Y, Liu S, Beck J, et al. Neuroventila-
27. Lourenço RV, Cherniack NS, Malm JR, Fishman AP. Nervous out-             tory efficiency and extubation readiness in critically ill patients.
    put from the respiratory center during obstructed breathing. J            Crit Care. 2012;16:R143.
    Appl Physiol. 1966;21:527---33.                                       45. Rozé H, Repusseau B, Perrier V, Germain A, Séramondi R,
28. Beck J, Sinderby C, Lindström L, Grassino A. Effects of lung              Dewitte A, et al. Neuro-ventilatory efficiency during weaning
    volume on diaphragm EMG signal strength during voluntary con-             from mechanical ventilation using neurally adjusted ventilatory
    tractions. J Appl Physiol. 1998;85:1123---34.                             assist. Br J Anaesth. 2013;111:955---60.
29. Beck J, Sinderby C, Lindström L, Grassino A. Diaphragm                46. Bellani G, Mauri T, Coppadoro A, Grasselli G, Patroniti N,
    interference pattern EMG and compound muscle action poten-                Spadaro S, et al. Estimation of patient’s inspiratory effort
    tials: effects of chest wall configuration. J Appl Physiol.                from the electrical activity of the diaphragm. Crit Care Med.
    1997;82:520---30.                                                         2013;41:1483---91.
+Model
                                              ARTICLE IN PRESS
12                                                                                                                        F. Suarez-Sipmann
47. Otis AB, Fenn WO, Rahn H. Mechanics of breathing in man. J           57. Schädler D, Engel C, Elke G, Pulletz S, Haake N, Frerichs I, et al.
    Appl Physiol. 1950;2:592---607.                                          Automatic control of pressure support for ventilator weaning
48. Mead J. The control of respiratory frequency. J Appl Physiol.            in surgical intensive care patients. Am J Respir Crit Care Med.
    1960;15:325---36.                                                        2012;185:637---44.
49. Cassina T, Chioléro R, Mauri R, Revelly J-P. Clinical experience     58. Lellouche F, Mancebo J, Jolliet P, Roeseler J, Schortgen F, Dojat
    with adaptive support ventilation for fast-track cardiac surgery.        M, et al. A multicenter randomized trial of computer-driven
    J Thorac Cardiovasc Surg. 2003;17:571---5.                               protocolized weaning from mechanical ventilation. Am J Respir
50. Petter AH, Chioléro RL, Cassina T, Chassot P-G, Müller XM, Rev-          Crit Care Med. 2006;174:894---900.
    elly J-P. Automatic «respirator/eeaning» with adaptive support       59. Rose L, Presneill JJ, Johnston L, Cade JF. A randomised, con-
    ventilation: the effect on duration of endotracheal intubation           trolled trial of conventional versus automated weaning from
    and patient management. Anesth Analg. 2003;97:1743---50.                 mechanical ventilation using SmartCare/PS. Intensive Care
51. Dongelmans DA, Veelo DP, Binnekade JM, de Mol BAJM, Kudoga               Med. 2008;34:1788---95.
    A, Paulus F, et al. Adaptive support ventilation with protocolized   60. Burns KEA, Meade MO, Lessard MR, Hand L, Zhou Q, Keenan SP,
    de-escalation and escalation does not accelerate tracheal extu-          et al. Wean earlier and automatically with new technology (the
    bation of patients after nonfast-track cardiothoracic surgery.           WEAN study). A multicenter, pilot randomized controlled trial.
    Anesth Analg. 2010;111:961---7.                                          Am J Respir Crit Care Med. 2013;187:1203---11.
52. Linton DM, Potgieter PD, Davis S, Fourie AT, Brunner JX,             61. Goldberger AL. Non-linear dynamics for clinicians: Chaos
    Laubscher TP. Automatic weaning from mechanical ventila-                 theory, fractals, and complexity at the bedside. Lancet.
    tion using an adaptive lung ventilation controller. Chest.               1996;347:1312---4.
    1994;106:1843---50.                                                  62. Wysocki M, Cracco C, Teixeira A, Mercat A, Diehl J-L, Lefort Y,
53. Kirakli C, Ozdemir I, Ucar ZZ, Cimen P, Kepil S, Ozkan SA.               et al. Reduced breathing variability as a predictor of unsuccess-
    Adaptive support ventilation for faster weaning in COPD: a ran-          ful patient separation from mechanical ventilation. Crit Care
    domised controlled trial. Eur Respir J. 2011;38:774---80.                Med. 2006;34:2076---83.
54. Tassaux D, Dalmas E, Gratadour P, Jolliet P. Patient---ventilator    63. Spieth PM, Carvalho AR, Güldner A, Pelosi P, Kirichuk O, Koch
    interactions during partial ventilatory support: a preliminary           T, et al. Effects of different levels of pressure support vari-
    study comparing the effects of adaptive support ventilation with         ability in experimental lung injury. Anesthesiology. 2009;110:
    synchronized intermittent mandatory ventilation plus inspira-            342---50.
    tory pressure support. Crit Care Med. 2002;30:801---7.               64. Spieth PM, Carvalho AR, Güldner A, Kasper M, Schubert R, Car-
55. Sulemanji DS, Marchese A, Wysocki M, Kacmarek RM. Adaptive               valho NC, et al. Pressure support improves oxygenation and lung
    support ventilation with and without end-tidal CO2 closed loop           protection compared to pressure-controlled ventilation and is
    control versus conventional ventilation. Intensive Care Med.             further improved by random variation of pressure support. Crit
    2013;39:703---10.                                                        Care Med. 2011;39:746---55.
56. Arnal J-M, Wysocki M, Novotni D, Demory D, Lopez R, Donati           65. Arold SP, Suki B, Alencar AM, Lutchen KR, Ingenito EP. Vari-
    S, et al. Safety and efficacy of a fully closed-loop control ven-         able ventilation induces endogenous surfactant release in
    tilation (IntelliVent-ASV® ) in sedated ICU patients with acute          normal guinea pigs. Am J Physiol Lung Cell Mol Physiol.
    respiratory failure: a prospective randomized crossover study.           2003;285:L370---5.
    Intensive Care Med. 2012;38:781---7.