- Open Access
Neural versus pneumatic control of pressure support in patients with chronic obstructive pulmonary diseases at different levels of positive end expiratory pressure: a physiological study
Critical Care volume 19, Article number: 244 (2015)
Intrinsic positive end-expiratory pressure (PEEPi) is a “threshold” load that must be overcome to trigger conventional pneumatically-controlled pressure support (PSP) in chronic obstructive pulmonary disease (COPD). Application of extrinsic PEEP (PEEPe) reduces trigger delays and mechanical inspiratory efforts. Using the diaphragm electrical activity (EAdi), neurally controlled pressure support (PSN) could hypothetically eliminate asynchrony and reduce mechanical inspiratory effort, hence substituting the need for PEEPe. The primary objective of this study was to show that PSN can reduce the need for PEEPe to improve patient-ventilator interaction and to reduce both the “pre-trigger” and “total inspiratory” neural and mechanical efforts in COPD patients with PEEPi. A secondary objective was to evaluate the impact of applying PSN on breathing pattern.
Twelve intubated and mechanically ventilated COPD patients with PEEPi ≥ 5 cm H2O underwent comparisons of PSP and PSN at different levels of PEEPe (at 0 %, 40 %, 80 %, and 120 % of static PEEPi, for 12 minutes at each level on average), at matching peak airway pressure. We measured flow, airway pressure, esophageal pressure, and EAdi, and analyzed neural and mechanical efforts for triggering and total inspiration. Patient-ventilator interaction was analyzed with the NeuroSync index.
Mean airway pressure and PEEPe were comparable for PSP and PSN at same target levels. During PSP, the NeuroSync index was 29 % at zero PEEPe and improved to 21 % at optimal PEEPe (P < 0.05). During PSN, the NeuroSync index was lower (<7 %, P < 0.05) regardless of PEEPe. Both pre-trigger (P < 0.05) and total inspiratory mechanical efforts (P < 0.05) were consistently higher during PSP compared to PSN at same PEEPe. The change in total mechanical efforts between PSP at PEEPe0% and PSN at PEEPe0% was not different from the change between PSP at PEEPe0% and PSP at PEEPe80%.
PSN abolishes the need for PEEPe in COPD patients, improves patient-ventilator interaction, and reduces the inspiratory mechanical effort to breathe.
Clinicaltrials.gov NCT02114567. Registered 04 November 2013.
Intrinsic positive end-expiratory pressure (PEEPi) refers to the increase in the end-expiratory elastic recoil pressure associated with an increase in lung volume above resting lung volume at end expiration consequent to dynamic hyperinflation. PEEPi impairs patient-ventilator interaction and efficiency of ventilatory assistance, increases inspiratory effort, causes dyspnea, and alters hemodynamics [1, 2].
In spontaneously breathing patients on conventional ventilatory assistance, PEEPi typically reveals itself as a delayed onset of assistance relative to the onset of neural inspiratory effort, where if ventilatory assistance is triggered on pressure, flow, or volume (i.e., pneumatic trigger), the PEEPi-induced threshold load must be overcome to initiate assistance . Work in patients with chronic obstructive pulmonary disease (COPD) has demonstrated that application of external PEEP (PEEPe) can reduce the mechanical inspiratory effort [3–5].
In COPD patients receiving pressure support (PS) with pneumatic triggering and cycling-off, (PSP), the increased airway resistance prolongs the time constant and delays the cycling-off of ventilator support. Studies suggest a higher than conventional percentage of peak flow is required to adequately terminate assist; inappropriate settings for the cycling-off criteria are known to worsen dynamic hyperinflation and increase PEEPi [6, 7].
The effects of neural cycling-off of assistance in patients with COPD and PEEPi have not been evaluated during PS ventilation. Controlling ventilatory assistance by the diaphragm electrical activity (EAdi) - a neural signal - successfully improves patient-ventilator interaction during neurally adjusted ventilatory assistance (NAVA) compared to PSP [8, 9]. A recent study has shown that the use of NAVA also leads to a decrease in the effort to trigger the ventilator, when compared to (PSP) . These previous studies, however, compared a pressure-targeted mode (PSP) to a proportional mode (NAVA). Therefore, in the present study, we used neurally controlled PS (PSN), where the EAdi was used to initiate and terminate the breath, but with a targeted, fixed pressure. The primary objective was to show that PSN can reduce the need for PEEPe to improve patient-ventilator interaction and to reduce both the pre-trigger and total inspiratory neural and mechanical efforts in COPD patients with PEEPi. A secondary objective was to evaluate the impact of applying PSN on breathing pattern.
The study was conducted in a 30-bed general intensive care unit (ICU) of a teaching hospital affiliated with Southeast University in China. The protocol was approved by Institutional Ethics Committee of Zhongda hospital (Approval Number: 2010ZDLL018.0), and informed consent was obtained from the patients or next of kin. The trial was registered at clinicaltrials.gov (NCT02114567).
Twelve adult intubated and mechanically ventilated patients with early COPD and acute respiratory failure due to pneumonia were studied. COPD was defined as the patient having chronic cough, sputum or progressive dyspnea, and forced vital capacity rate of one second (FEV1/FVC) <0.7 after bronchodilation. Acute respiratory failure was defined as oxygenation index (PaO2/FiO2) <300 mmHg with or without elevated arterial carbon dioxide tension (PaCO2).
The inclusion criteria were: (1) static PEEPi ≥5 cm H2O (see below); (2) hemodynamic stability (heart rate <140 beats/minute, no vasopressors required, or <5 μg/kg/min dopamine); (3) no sedation or minimal analgesia with low dose of morphine (<3 mg/h, by continuous intravenous infusion); (4) breathing spontaneously but in need of partial ventilatory assistance, and (5) awake and able to positively cooperate, defined as the ability to follow an instruction (e.g., open their eyes, raise thumbs up, move limbs).
The exclusion criteria were: (1) tracheostomy; (2) treatment abandonment; (3) history of esophageal varices; (4) gastroesophageal surgery in the previous 12 months or gastroesophageal bleeding in the previous 30 days; (5) coagulation disorders (international normalized ratio >1.5 and activated partial thromboplastin time >44 s); (6) history of acute central or peripheral nervous system disorder or neuromuscular disease, and (7) lack of informed consent.
After obtaining consent, enrolled patients were switched to a Servo-i ventilator (Maquet, Solna, Stockholm, Sweden). A 16-F nasogastric feeding tube (NeuroVent Research Inc.; Toronto, ON, Canada) with electrodes measuring EAdi and balloons measuring esophageal (Pes) and gastric (Pga) pressures was inserted through the nose and secured after confirming positioning according to guidelines for NAVA catheter positioning (Maquet, Solna, Stockholm, Sweden). Flow and airway pressure (Paw) were acquired from the Servo-i ventilator whereas Pes and Pga were obtained via pressure transducers; all signals were digitized at 100 Hz and stored for offline analysis (NeuroVent Research Inc.; Toronto, ON, Canada). Mean arterial pressure (MAP) was measured with a blood pressure cuff (Philips G60).
PSP and PSN
Pneumatically controlled PS
Conventional pneumatically controlled PS (PSP) was used with the ventilator in the pressure support mode and was pneumatically triggered (flow-trigger 1 L/min) and cycled off (30 % of peak inspiratory flow). The rate of rise in pressure was set to 0.05 s in all patients.
Neurally controlled PS
Neurally controlled PS (PSN) was used with the ventilator in the NAVA mode, however, the NAVA level was set to maximum (NAVA level 15 cmH2O/μV) with upper pressure limits adjusted to achieve the targeted PS above PEEPe (same as PSP). PSN was neurally triggered (EAdi trigger = 0.5 μV) and cycled off (70 % of peak EAdi).
Determination of static PEEPi
Patients were initially on volume control ventilation (VCV) at zero PEEPe, tidal volume (VT) 6 mL/kg predicted body-weight (PBW), and inspiratory flow of 40 L/min, and mandatory breathing frequency (Bf) matching that observed during PSP before sedation. To suppress the spontaneous drive to breathe (abolish EAdi), patients received continuous intravenous (IV) sedation by Propofol up to the dose of 2 mg/kg/h. If at this propofol dose the respiratory drive was not totally suppressed, Remifentanil was also infused at the dose of 6–15 μg/kg/h just before the measurement of compliance, resistance and static PEEPi. Static PEEPi was assessed during VCV at PEEPe of zero using the end-expiratory airway occlusion method . PEEPe levels of 0 %, 40 %, 80 %, and 120 % of static PEEPi were then calculated and noted (subsequently referred to as PEEPe0%, PEEPe40%, PEEPe80%, and PEEPe120%). PEEPe was increased to determine the presence of expiratory flow limitation (EFL) .
Spontaneous breathing and return to PS at different levels of PEEPe
Sedation was discontinued and as spontaneous breathing and EAdi recovered, patients were returned to PSP and adjusted to target 6 ml/kg (of PBW) and PEEPe of 5 cmH2O until a Ramsay score of 2–3 was obtained. This was followed by eight different ventilation periods: PSP and PSN at PEEPe0%, PEEPe40%, PEEPe80%, and PEEPe120%. First PSP was applied targeting 6 ml/kg PBW with PEEPe levels randomized to be applied with either ascending or descending order. This was then repeated during PSN with same PEEPe levels (as used with PSP) randomized to either ascending or descending order (independent of the order used during PSP). Assistance pressure above PEEPe was obtained by adjusting the upper pressure limit to the same assistance pressure (above PEEPe) that was observed for the corresponding PEEPe during the PSP period. The average duration per PEEPe level was 12 (±1 SD) minutes. Arterial blood gases were measured at the end of each PEEPe level. Inspired fraction of oxygen (FiO2) was set similar to that at inclusion (Table 1) and not altered throughout the study.
Parameters during volume control ventilation (and no spontaneous breathing)
Compliance was calculated from the formula:
Tidal volume/(Plateau pressure-total PEEP).
Resistance was calculated from the formula:
Resistance = (Peak pressure-Plateau pressure)/Flow.
EFL was determined from peak airway pressure during increase of PEEPe .
Respiratory parameters during spontaneous breathing on PSP or PSN
The last 3 minutes of each condition were analyzed for the EAdi-derived, ventilator, and Pes-derived variables.
Neural inspiratory time (TiN) was calculated between the onset of EAdi and the return to 70 % of peak EAdi. Neural expiratory time (TeN) was calculated as the time between the return to 70 % of peak EAdi and the onset of the next EAdi. We also calculated the neural duty cycle (TiN/TtN, where TtN = TiN + TeN), and neural breathing frequency (BfN = 60/TtN). The peak inspiratory EAdi (ÊAdi) was calculated for the pre-trigger phase (ÊAdiTRIG), and for the entire inspiration (ÊAdiTOT).
PEEPe was measured as mean airway pressure in the expiratory state. VT was obtained by flow integration. Mean airway pressure (P̅aw) was calculated during neural inspiration. Pneumatic inspiratory and expiratory times (TiP and TeP) were calculated from the airway pressure signal.
The mean inspiratory change in Pes was calculated from onset of each inspiration (based on EAdi) for both the pre-trigger phase (ΔP̅esTRIG), as well as the total inspiration (pre-trigger effort included, ΔP̅esTOT). Transpulmonary pressure (PL) was calculated as Paw-Pes, and is presented for the total inspiration PL (ΔP̅LTOT). Pre-trigger inspiratory pressure time product per minute was calculated for Pes (PTPesTRIG) as (ΔP̅esTRIG × TTRIG × BfN), and for the total inspiration (PTPesTOT) as (ΔP̅esTOT × TiN × BfN). Neuromechanical efficiency (NME) was calculated for total inspiration as ΔP̅es/ÊAdi.
Analysis of patient-ventilator interaction
EAdi-to-trigger time difference in ms (TTRIG) was calculated between onset of EAdi and early initial rise in Paw. Cycling-off timing-difference in milliseconds (TCYC-OFF) was calculated between time points for early decrease in Paw and 30 % decline from EAdi peak.
Patient-ventilator interaction was evaluated by the NeuroSync Index, comparing Paw and EAdi waveforms with automated computer algorithms  and quantifying the error between them. Briefly, trigger and cycling-off errors were classified as either too early (negative values) or too late (positive values). Early and late triggering was defined as assistance starting before or after the onset of EAdi. Early and late cycling-off was defined as assistance starting before or after the return of EAdi to 70 % of its peak. Early trigger and cycling-off errors were normalized to the associated neural expiratory or inspiratory periods, respectively and presented in percent with a negative sign. Late trigger and cycling-off errors were normalized to related neural inspiratory or expiratory periods, respectively, and presented in percent with a positive sign. EAdi without associated assistance (ineffective effort) was defined as entire neural breathing cycles taking place without triggering assistance, and was assigned 100 % error. Assistance without associated EAdi (auto triggering) was defined as entire assistance cycles taking place without associated EAdi, and was assigned 100 % error. The NeuroSync index was calculated by averaging the errors for all events, the higher the NeuroSync index, the greater the error between EAdi and Paw.
Statistical analysis was performed with Sigma-Stat 3.5 (Jandel Scientific, California, USA). (Jandel Scientific, California, USA) Three types of comparisons were made: (i) within a mode, the impact of increasing PEEPe, (ii) at a given PEEPe, the impact of PSP versus PSN, (iii) PSN at PEEPe0% versus PSP at PEEPe80% (considered to be optimal PEEP). Due to non-normally distributed data, we opted for within-subject comparison of all eight conditions using one-way repeated measures analysis of variance (ANOVA) on ranks and Student-Newman-Keuls test for post hoc analysis of multiple comparisons. Significant difference was defined as P <0.05. Power calculation suggested that a reduction of inspiratory effort by 50 % required 12 patients for a power of 1.0 with alpha of 0.05. To test if mechanical respiratory efforts were reduced similarly during PSN without PEEPe and during PSP with optimal PEEPe linear regression and Pearson product–moment correlation was used.
A total of 17 patients were screened; 5 did not meet the inclusion criteria of 5 cm H2O static PEEPi. Characteristics of the 12 enrolled patients are summarized in Table 1. All had acute exacerbation of COPD and type 2 respiratory failure. Six patients showed evidence of EFL. The mean age was 78.8 (SD ± 8.6) and body mass index (BMI) was 22.7 (SD ± 4.2). The last available forced expiratory volume in one second (FEV1) was 48.5 % (SD ± 8.0 %) predicted. The mean respiratory rate setting during VCV was 15 (SD ± 2) breaths per minute.
Table 2 provides the ventilation parameters for the group, at different PEEPe levels, for PSP and PSN. As per protocol design, P̅aw and PEEPe were matched for PSP and PSN at the same targeted levels (Table 2). The median time to peak pressure was 0.22 s (0.21–0.23, 25th–75th percentile) in PSP, and was slightly shorter in PSN (0.17 s, 0.15–0.22), the difference being 0.05 s (P = 0.04). Figure 1 shows an example of the time-tracings of flow, volume, Paw, Pes, Pga, and EAdi during PSP at PEEPe0% (top) and PEEPe80% (middle) and during PSN at PEEPe0% (bottom) for one individual patient.
It can also be seen by the time tracings in Fig. 1, that patient-ventilator interaction was worse in PSP than PSN. For the group (Table 3), both triggering (TTRIG) and cycling-off (TCYC-OFF) were consistently delayed during PSP, with delays at PEEPe80% being 114 ms (trigger) and 118 ms (cycling-off) longer than during PSN at PEEPe0%. Increasing from PEEPe0% to PEEPe80% during PSP reduced the trigger delay by 93 ms (P <0.05) and delayed cycling-off by 54 ms. Timing of triggering and cycling-off was not affected by PEEPe during PSN.
Figure 2 shows the topographic distribution of timing errors for triggering (y-axis) and cycling-off (x-axis), respectively, for all patients. The red area indicates 80 % of the most frequent patient-ventilator interactions for all breaths in all subjects during PSN (left panels) and PSP (right panels) during PEEPe0%, PEEPe40%, PEEPe80%, and PEEPe120%, (top to bottom). During PSN at PEEPe0% triggering was concentrated within an area ranging from minus 5 % to 25 % for triggering error (Y-axis) and minus 5 % to 5 % error during cycling-off (x-axis) regardless of PEEPe (indicated by box).
During PSP, there was a widespread variability ranging from about minus 10 % to 60 % for triggering error (y-axis) and about minus 30 % to 30 % error for cycling-off (x-axis), regardless of PEEPe. Regardless of PEEPe, less than 10 % of breaths landed within the box during PSP, compared to more than 80 % during PSN (Table 3).
During PSN at PEEPe0%, 52 % (SD ± 30 %) of all breaths were terminated by neural cycling-off at 70 % of peak EAdi and at this point the inspiratory flow had decreased to 46 % (SD ± 19 %) of peak flow. The remaining 48 % (SD ± 30 %) of breaths were terminated earlier due to pressure exceeding the upper pressure limit by 3 cm H2O causing the −5 % cycling-off errors indicated in Fig. 2, left panel.
During PSN, the NeuroSync index was consistently lower, indicating improved patient ventilator interaction, at all levels of PEEPe. Increasing PEEPe improved patient-ventilator interaction i.e., decreased NeuroSync index during PSP but had no effect during PSN (Table 3). Regarding severe asynchronies, EAdi without trigger (ineffective efforts) exceeded 10 % in three patients (12 %, 12 % and 20 %) during PSP (Table 3). Other asynchronies were not frequent during either PSP or PSN.
Neural (EAdi variables) and mechanical (Pes variables) effort
Figure 3 shows the neural and mechanical effort for triggering and for the whole inspiration in all subjects, at all PEEPe levels, for PSN and PSP. The corresponding statistics are provided in Table 4 for clarity. ÊAdiTRIG was lower during PSN than PSP at all PEEPe levels. During PSN, ÊAdiTRIG at PEEPe0% was also lower compared to PSP at PEEPe80% (Table 4). Increasing PEEPe decreased ÊAdiTRIG during both PSP and PSN. ÊAdiTOT was not significantly between PSP and PSN, nor did it change with changing PEEPe.
Both ΔP̅esTRIG and ΔP̅esTOT were higher during PSP compared to PSN at the same PEEPe (Fig. 3 and Table 4): ΔP̅esTRIG was consistently and markedly reduced during PSN compared to PSP. Increasing PEEPe reduced ΔP̅esTRIG during PSP at PEEPe80% but did not change during PSN: ΔP̅esTOT decreased with increasing PEEPe during both PSP and PSN. Four patients had positive ΔP̅esTOT during PSP at PEEPe80% and one patient had positive ΔP̅esTOT during PSN at PEEPe0%. Figure 4 shows that the change in total mechanical efforts between PSP at PEEPe0% and PSN at PEEPe0% (x-axis) is similar to the change between PSP at PEEPe0% and PSP at PEEPe80% (with strong correlation: R2 = 0.77 for ΔP̅esTOT and R2 = 0.68 for PTPesTOT).
ΔP̅es/ΔP̅L ranged between 2.2 and 24.5 %, decreased with increasing PEEPe during both PSP and PSN, and was lower during PSN (Table 4).
Neuromechanical efficiency (NME)
Neuromechanical efficiency at the same PEEPe was lower during PSN compared to PSP and decreased with increasing PEEPe during both PSP and PSN (Table 4). There was no difference in NME between PSN at PEEPe0% and PSP at PEEPe80%. The reduction in NME from PEEPe0% to PEEPe80% during PSP was not different (P = 0.699) for patients with EFL (median 28 %, 25th–75th percentile 14–46 %) and without EFL (41, 14–75 %).
This study shows that neurally controlled pressure support improves patient-ventilator interaction, nearly abolishes pre-trigger inspiratory neural and mechanical effort, and shows - even when zero PEEP is applied - similar total inspiratory neural and mechanical effort as conventional pressure support with an optimal PEEPe. The main strength of the study is that it is the first to show that both neural monitoring and neural control of patient-ventilator interaction in patients with PEEPi are superior to pneumatic monitoring and pneumatic control of pressure support.
In agreement with previous studies [5, 10, 12–16], increasing PEEPe during PSP reduced the trigger delay. As hypothesized, the EAdi trigger-synchronization nearly abolished both neural and mechanical pre-trigger efforts regardless of PEEPe. Our results showing that both neural and mechanical pre-trigger efforts were reduced with increasing PEEPe during PSP confirms that application of PEEPe counteracts PEEPi and reduces pre-trigger mechanical effort with pneumatic triggering , although not as efficiently as during neural triggering, similar to the recent work of Bellani .
Cycling-off assistance in PS mode is conventionally based on the relative reduction in inspiratory flow. This algorithm is an oversimplification and not physiologically sound, as flow during ventilatory assistance is influenced by multiple factors, such as respiratory system time constant, neural inspiratory time, level of pressure support, and inspiratory muscle pressure . In the present study, the cycling-off setting was 30 % of peak inspiratory flow (default setting of the ventilator utilized). This choice could be critiqued as being too low in sensitivity in COPD patients as percentages from 40 to 70 % have been suggested as more feasible [6, 7]. As there are no guidelines on how to adjust cycling-off for each individual patient, we opted to stay within default settings.
In support of cycling-off at 70 % of peak EAdi being feasible was our finding that assistance was either EAdi-terminated when flow corresponded to 46 % of peak flow or immediately before EAdi termination due to the inspiratory muscle relaxation increasing pressure in the circuit by 3 cm H2O above the targeted pressure (Servo-I manual). Thus the PSN cycling-off in the present study coincides with suggested flow cycling-off at 40–70 % of peak flow in COPD [6, 7].
PSN showed high precision of triggering and cycling-off of pressure relative to the neural effort and centered 80 % of breaths within a narrow range of error (Fig. 2). In contrast, PSP showed poor precision of both triggering and cycling-off relative to the neural effort. Although group median values indicated delays (Table 3), the topographical distribution of all breaths and in all subjects shows that ventilatory assistance could start and cycle off prematurely. It is questionable if adjustment of trigger and cycling-off settings during PSP could have corrected this extreme heterogeneity of timing of assist relative to neural inspiratory effort.
With regards to the overall patient-ventilator interaction, a low NeuroSync index and little inter-individual variability, confirms the effectiveness of PSN to synchronize assistance in the presence of PEEPi. Although improved by increasing PEEPe, the NeuroSync index was at least three times higher (worse patient-ventilator interaction) during PSP mainly due to dys-synchrony i.e., trigger and cycling-off errors, which cannot be determined with pressure-flow-volume waveform analysis without EAdi [11, 18]. The low incidence of other asynchronies e.g., ineffective efforts and auto-triggering is in agreement with previous work by Thille  showing that limiting VT (6 ml/kg) - as in the present study - improves patient ventilator interaction during PSP. However, three patients (25 %) approached a high frequency of EAdi-without-assistance (ineffective efforts) during PSP which is recognized as severe asynchrony and associated with adverse outcomes such as increased duration of mechanical ventilation [20, 21].
With regards to the effort throughout the entire inspiration, our results (Fig. 4) indicating that reductions from PEEPe0% during PSP to PEEP0% during PSN equaled those from PEEPe0% during PSP to PEEP80% during PSP, support our assumption that synchronized assist overcomes PEEPi in COPD patients without the need to apply PEEPe. Thus, neural triggering allows a unique starting point for assistance delivery during every breath regardless of hyperinflation and PEEPi, however, the subsequent inspiration requires that the combined patient effort and assistance (i.e., the transpulmonary pressure) is sufficient to overcome the respiratory system’s resistive and elastic forces. In contrast, PSP and fixed PEEPe only compensate for the estimated average increase in elastic recoil at end-expiration due to dynamic hyperinflation and cannot correct for breath-by-breath changes in PEEPi.
Our results that applying PEEPe during PSP reduced mechanical effort for the entire inspiration agree with previous studies [4, 5]. A curious observation of the present study was that the reduction in total inspiratory mechanical effort from PEEP0% to PEEP80% during PSP was larger than what could be explained by the reductions in pre-trigger mechanical effort. Even more confounding, increasing PEEPe actually reduced total inspiratory mechanical effort during PSN; a decrease that could not be attributed to reductions in the pre-trigger mechanical effort, as it was already abolished by the neural triggering. A likely possibility for why the mechanical efforts decreased is that PEEPe induced hyperinflation (increased end expiratory lung volume) which would explain the reduction in NME (less pressure for a given neural output).
This is the first study measuring the effect of PEEPe on neural effort strictly in COPD patients (the work of Bellani  included 50 % COPD patients). Although our results showed that pre-trigger neural effort could be reduced by increasing PEEPe during PSP, the total neural inspiratory effort did not reach a significant decrease with increasing PEEPe during PSP nor during PSN. This supports our thought that reduced total inspiratory mechanical effort with increasing PEEPe were in part associated with hyperinflation-induced respiratory muscle weakness , and not de-activation of the muscles. Previous studies indicate that application of CPAP (Continuous Positive Airway Pressure) in COPD patients with PEEPi increases end-expiratory lung volume [4, 23]. However, it has been suggested that application of PEEPe below the level of PEEPi in patients with EFL does not increase hyperinflation . Our results did not indicate a difference for NME between patients with and without EFL. However, the present study showed a reduction in NME with increasing PEEPe during both PSP and PSN, which could have been attributed to impaired contractility due to hyperinflation . Thus, our finding that the total inspiratory mechanical effort during PSN at PEEPe0%, matched PSP at PEEPe80% suggests that neural triggering is at least as efficient as titration of PEEPe to overcome PEEPi, and reduce total inspiratory mechanical effort. However, both methods pay a toll in terms of reduced NME.
It is important to point out that several patients received too high assistance (approximately 10 cm H2O PS above PEEPe), resulting in low values of total inspiratory mechanical effort (<2.5 cm H2O Pes), suggesting that the patient’s contribution to tidal volume was very low. At this high level of unloading, further reduction in neural inspiratory effort is limited [25–27], which could explain the modest decrease in total neural inspiratory effort.
Despite relatively low VT targeted in the present study, which should contradict the notion of over-assistance , PaCO2 values were low, suggesting that certain patients could have been subjected to hyperventilation. Yet, another factor to explain the low total inspiratory mechanical effort could be respiratory muscle weakness. A limitation was that we did not evaluate respiratory effort sensation or dyspnea, which could have added insight to the issue of PEEPe and assistance levels that were too high. Note that with PSN, the amount of pressure support delivered should be greater than PEEPi. If the initial pressure delivery is not adequate to counteract PEEPi, the elastic recoil in the system would cause an increase in airway pressure  (see Fig. 4 in that report), and would activate the cycling-off (pressure algorithm) used with neural control of PS (as the safety algorithm).
Despite PEEPe being demonstrated to reduce PEEPi and work of breathing, many factors of how to implement PEEPe are unclear . It is not clear whether PEEPi should be expressed in terms of its dynamic PEEPi or static PEEPi components. In spontaneously breathing, mechanically ventilated patients with active expiration there are currently no methods available to reliably determine the optimal level of static PEEPi and there is ongoing evaluation of reliability in different methods determining dynamic PEEPi [12, 28–30]. Moreover, the implementation of bias flow for the use of flow-trigger creates further complication as it underestimates dynamic PEEPi . Maltais et al.  reported that in paralyzed patients, dynamic PEEPi underestimates static PEEPi due to regional differences of mechanical properties within the lungs. We therefore opted to measure static PEEPi during VCV in the absence of spontaneous breathing effort.
One limitation of the present study was that we could not randomize PSP and PSN, because PSP had to be adjusted first (with a target tidal volume of 6 ml/kg), in order to be matched with the upper pressure limits that were obtained during PSN. We did, however, randomize the ascending or descending order of the applied PEEPe in both arms, albeit we acknowledge that randomizing all PEEPe levels would be preferred. Due to risk of the steps between PEEPe levels being too large we decided not to randomize the order in which PEEPe was applied, but to apply PEEPe in either progressively increasing or decreasing order.
The present study shows that PSN overcomes the need for PEEPe to overcome PEEPi in COPD patients. PSN improves patient-ventilator interaction and reduces inspiratory mechanical effort to breathe. Although the present study suggests that PSN (at zero PEEP) can efficiently replace PSP with optimal PEEPe, use of PEEPe for other reasons, e.g., alveolar recruitment, would of course still apply. The clinical importance of improving patient-ventilator interaction in COPD remains to be studied.
Neurally controlled pressure support ventilation is feasible in patients with COPD demonstrating intrinsic PEEP
Neurally controlled pressure support, compared to conventional, pneumatically controlled pressure support, improves patient-ventilator interaction and reduces inspiratory effort, even in the absence of external PEEP
Neurally controlled pressure support overcomes the need for extrinsic PEEP, in order to overcome intrinsic PEEP in COPD patients
- BfN :
neural breathing frequency
chronic obstructive pulmonary disease
coefficient of variation
diaphragm electrical activity
peak inspiratory EAdi
- ÊAdiTRIG :
peak pre-trigger EAdi
expiratory flow limitation
- FEV1 :
forced expiratory volume in one second
forced vital capacity rate of one second
mean arterial pressure
neurally adjusted ventilatory assist
- PaCO2 :
arterial carbon dioxide tension
- PaO2/FiO2 :
mean airway pressure
extrinsic positive end-expiratory pressure
- PEEPe0% :
PEEPe levels of 0 % of PEEPiSTAT
- PEEPe120% :
PEEPe levels of 120 % of PEEPiSTAT
- PEEPe40% :
PEEPe levels of 40 % of PEEPiSTAT
- PEEPe80% :
PEEPe levels of 80 % of PEEPiSTAT
intrinsic positive end-expiratory pressure
- PEEPiSTAT :
Static intrinsic positive end-expiratory pressure
- PL :
- PSN :
neurally triggered and cycled-off pressure support
- PSP :
pneumatically triggered and cycled-off pressure support
- PTPesTOT :
total inspiratory pressure time product per minute for esophageal pressure
- PTPesTRIG :
pre-trigger pressure time product per minute for esophageal pressure
- TCYC-OFF :
- TeN :
Neural expiratory time
- TeP :
ventilator (pneumatic) expiratory time
- Ti/TtN :
neural duty cycle
- TiN :
neural inspiratory time
- TiP :
ventilator (pneumatic) inspiratory time
- TtN :
neural respiratory cycle time
- TTRIG :
EAdi-to-trigger time difference
volume control ventilation
- VT :
- ΔP̅esTOT :
total inspiratory mean deflection for esophageal pressure
- ΔP̅esTRIG :
pre-trigger mean deflection of esophageal pressure
- ΔP̅LTOT :
total inspiratory mean deflection for transpulmonary pressure
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We are indebted to Mr Norman Comtois for technical assistance and data analysis. This study was supported by the Natural Science Foundation of Jiangsu Province (Project BK20131302), foundation of National key Clinical Department of critical care medicine (2010), The Ministry of Health of P.R. China (Special Fund for Health-scientific Research in the Public Interest Program 201202011), and Clinical Science and Technology Specific Projects of Jiangsu Province (BL2013030). Christer Sinderby was supported by the RS McLaughlin Foundation.
JB and CS have been reimbursed by Maquet Critical Care (Solna, Sweden) for attending several conferences; JB and CS have participated as a speaker in scientific meetings or courses organized and financed by Maquet Critical Care; JB and CS, through Neurovent Research, serve as consultants to Maquet Critical Care. The following disclosure was agreed upon by University of Toronto, Sunnybrook Health Sciences Centre, St-Michael’s Hospital and the REBs of Sunnybrook and St-Michael’s to resolve conflicts of interest: Drs. Beck and Sinderby have made inventions related to neural control of mechanical ventilation that are patented. The patents are assigned to the academic institution(s) where inventions were made. The license for these patents belongs to Maquet Critical Care. Future commercial uses of this technology may provide financial benefit to Drs Beck and Sinderby through royalties. Drs Beck and Sinderby each own 50 % of Neurovent Research Inc (NVR). NVR is a research and development company that builds the equipment and catheters for research studies. NVR has a consulting agreement with Maquet Critical Care. St-Michael’s Hospital has a research agreement with Maquet Critical Care AB (Solna, Sweden) and receives royalty and overhead from this agreement. Paolo Navalesi contributed to the development of a new interface (neither used or mentioned in the present work), whose license for patent belongs to Intersurgical S.p.A., and receives royalties for that invention. His research laboratory has received equipment and grants from Maquet Critical Care and Intersurgical S.p.A. He also received honoraria/speaking fees from Maquet Critical Care, Breas, Covidien AG, and Linde AG. The remaining authors have no competing interests to declare.
LL was responsible for conception and design of the study, acquisition, analysis and interpretation of data, and drafting and revising the article for final approval of the version to be published. FX was responsible for design of study, acquisition and analysis of data, and revising the article. YY participated in the design of the study, acquisition and analysis of data, and revising the article for final approval of the version to be published. JB participated in the data analysis, interpretation of the results, and writing of the article. CS participated in the data analysis, interpretation of the results, and writing of the article. PN participated in the data analysis, interpretation of the results and writing of the article. FL participated in the data analysis, interpretation of the results, and writing of the article. HQ was responsible for the conception and design of the study, analysis and interpretation of data, drafting and revising the article for important intellectual content and final approval of the version to be published. All authors read and approved the manuscript.
Ling Liu and Feiping Xia contributed equally to this work.
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Liu, L., Xia, F., Yang, Y. et al. Neural versus pneumatic control of pressure support in patients with chronic obstructive pulmonary diseases at different levels of positive end expiratory pressure: a physiological study. Crit Care 19, 244 (2015). https://doi.org/10.1186/s13054-015-0971-0
- Chronic Obstructive Pulmonary Disease
- Chronic Obstructive Pulmonary Disease Patient
- Pressure Support
- PEEPe Level
- Inspiratory Effort