key: cord-0052599-4hxshafq
authors: Blokpoel, Robert G. T.; Koopman, Alette A.; van Dijk, Jefta; Kneyber, Martin C. J.
title: Additional work of breathing from trigger errors in mechanically ventilated children
date: 2020-11-10
journal: Respir Res
DOI: 10.1186/s12931-020-01561-3
sha: 54de50e0da96bb5afde8c8cfd3fec60d591acaec
doc_id: 52599
cord_uid: 4hxshafq

BACKGROUND: Patient–ventilator asynchrony is associated with increased morbidity and mortality. A direct causative relationship between Patient–ventilator asynchrony and adverse clinical outcome have yet to be demonstrated. It is hypothesized that during trigger errors excessive pleural pressure swings are generated, contributing to increased work-of-breathing and self-inflicted lung injury. The objective of this study was to determine the additional work-of-breathing and pleural pressure swings caused by trigger errors in mechanically ventilated children. METHODS: Prospective observational study in a tertiary paediatric intensive care unit in an university hospital. Patients ventilated > 24 h and < 18 years old were studied. Patients underwent a 5-min recording of the ventilator flow–time, pressure–time and oesophageal pressure–time scalar. Pressure–time–product calculations were made as a proxy for work-of-breathing. Oesophageal pressure swings, as a surrogate for pleural pressure swings, during trigger errors were determined. RESULTS: Nine-hundred-and-fifty-nine trigger errors in 28 patients were identified. The additional work-of-breathing caused by trigger errors showed great variability among patients. The more asynchronous breaths were present the higher the work-of-breathing of these breaths. A higher spontaneous breath rate led to a lower amount of trigger errors. Patient–ventilator asynchrony was not associated with prolonged duration of mechanical ventilation or paediatric intensive care stay. CONCLUSIONS: The additional work-of-breathing caused by trigger errors in ventilated children can take up to 30–40% of the total work-of-breathing. Trigger errors were less common in patients breathing spontaneously and those able to generate higher pressure–time–product and pressure swings. TRIAL REGISTRATION: Not applicable.

Mechanical ventilation (MV) is one of the most common practiced interventions in the paediatric intensive care unit (PICU) [1] . In the absence of severe lung injury, there are several advantages associated with maintaining spontaneous breathing during MV including amongst others a lower need for sedation and a more even tidal volume (Vt) distribution towards the well-perfused lungdependent zones thereby reducing shunting and lower lung inflammation [2] [3] [4] [5] .

When allowing for spontaneous breathing, it is imperative to achieve good interaction between patient demand and ventilator delivery. Patient-ventilator asynchrony (PVA) arises when the patient and ventilator are out-ofsync at any time point throughout the breathing cycle [6, 7] . It may lead to an increased use of sedatives and neuromuscular blocking agents, sleep disturbance, ventilator induced diaphragmatic dysfunction, and dynamic hyperinflation and volutrauma resulting from double triggering with subsequent breath stacking [8] [9] [10] [11] [12] [13] . These detrimental effects may explain association between PVA and increased mortality and morbidity, albeit that a direct causative relationship has yet to be demonstrated [9, 14, 15] .

It has also been proposed that patients may experience increased work-of-breathing (WOB) related to PVA (WOB PVA ), especially when there are trigger errors [16, 17] . This increased work comes from excessive pleural pressure swings (ΔP pl ) generated during an inspiratory effort with subsequent additional lung stress, a phenomenon known as self-inflicted lung injury [18] . Two small studies in adults have shown that PVA can contribute up to 13-21% of the total WOB [19, 20] . Due to different respiratory mechanics these findings cannot be extrapolated to paediatrics. To date, it has not been studied if PVA in children is associated with increased WOB. Traditionally, total WOB is calculated using the Campbell diagram [21] . However, with ineffective triggering the flow generated by a patient is by definition insufficient to trigger the ventilator. Hence, the Campbell diagram cannot be constructed. The pressure-time product (PTP) may be used as WOB surrogate because it does not require any volume measurements but instead makes use of respiratory rate and duration of respiratory muscle contraction [21] [22] [23] (Fig. 1) .

Previously, we reported that PVA is common in ventilated children, with ineffective triggering being the predominant type of PVA [24] . The objective of this exploratory study therefore was to calculate the added WOB PVA caused by trigger errors in relation to total WOB by calculating the PTP, and to study the peak-tothrough oesophageal pressure swing during ineffective and delayed triggering events.

This study was performed at the PICU of the Beatrix Children's Hospital, University Medical Center Groningen. Patients ventilated > 24 h and < 18 years old able to trigger the ventilator were studied. Patients with neuromuscular disorders, premature birth with gestational age corrected for post-conceptional age less than 40 weeks, severe traumatic brain injury (i.e. Glasgow Coma Scale < 8), congenital or acquired damage to the phrenic nerve, congenital or acquired paralysis of the diaphragm, use of neuromuscular blockade, chronic lung disease (i.e. tracheostomy ventilation) and severe pulmonary hypertension were excluded. The Institutional Review Board waived the need for consent. Patients remained subjected to standard-of-care during the study (see Additional file 1).

Patient baseline characteristics included age, gender, weight, admission diagnosis. Ventilator settings including mode, set positive end-expiratory pressure (PEEP) pressure above PEEP (PAP), mean airway pressure (Pmean), pressure support (PS), expiratory tidal volume (Vte ml/ kg), mandatory breath rate, inspiratory time and fraction of inspired oxygen (FiO 2 ) were recorded before start of the measurements. Clinical data included prior use of neuromuscular blockade (NMB), amount of analgesiasedation in the 4 h preceding the recording, Comfort B score as measure of patient comfort, endotracheal tube (ETT) diameter and percentage of ETT leakage [25] .

Ventilator settings were not changed during the study period unless the clinical condition of the patient dictated otherwise. Patients underwent a 5-min recording of the ventilator flow-time, pressure-time and oesophageal pressure-time scalar. Data were acquired through the Ventilator Open XML Protocol (VOXP) interface at a sampling rate of 100 Hz (Carefusion, Yorba Linda, CA, USA). All data was stored for offline analysis and subsequently processed using Polybench (Applied Biosignals GmbH, Weener, Germany). For this study, we focused on ineffective and delayed triggering. First, we used three previously published studies to define the normal response time and trigger delay [26] [27] [28] . A normal response time was considered between 0 and 70 ms (ms) and a trigger delay was defined by a response time between 70 and 150 ms. Ineffective triggering (IT) was defined by the absence in ventilator pressurisation following a patient effort. Then, we identified IT and trigger delay in the recorded ventilator scalars. This is visualised by a simultaneous negative deflection in the pressure-time scalar, increase in the flow-time scalar and a negative deflection in the oesophageal-time scalar. We then calculated the trigger error index (TE-index) by the number of trigger error events (TEE) divided by the total number of breaths plus TEE times 100. Severe asynchrony was defined by TE-index > 10% and by TE-index > 75th percentile as proposed by others (i.e. TE-index > 22.5%) [14, 29] .

PTP was calculated by integrating the area under the oesophageal pressure versus time scalar from the beginning until the end of inspiration [23, 30] . For each patient median PTP for effective and ineffective breaths were calculated. We determined for the entire 5-min recording of all effective (PTP CUMULATIVE_BREATHS ) and ineffective breaths (PTP CUMULATIVE_PVA ). PTP TOTAL was defined as the sum of PTP CUMULATIVE_BREATH and PTP CUMULATIVE_PVA . The oesophageal peak-to-trough ( ΔP oes ) was calculated by subtracting the end-inspiratory P oes from the P oes at the onset of inspiration.

We expected that patients with a lower number of ineffective triggering events would have lower PTP and ΔP oes . To compare the PTP between ineffective and effective breaths in each individual patient, the ratio of PTP PVA over PTP BREATH (PTP PVA /PTP BREATH ) and ΔP oes-ineffective over ΔP oes-effective (ΔP oes-ineffective /ΔP oeseffective ) was calculated.

The Shapiro-Wilk test was used to test for normal distribution of the data. Normally distributed continuous data are presented as mean and standard deviation (SD). When the assumption of normality was not met, data are presented as median and 25-75 interquartile range (IQR). Categorical data are presented as percentage (%) of total. When comparisons between groups were made, continuous data were analysed using the Mann-Whitney U test. Spearman's rank correlation coefficient was used to measure dependence between two variables. All statistical analyses were performed using SPSS version 24 (IBM, Armonk, USA). P values below 0.05 were considered statistically significant.

In total 6194 breaths from 31 randomly selected patients ( At the moment of data acquisition, NMB was stopped for a median duration of 25 [17.5; 48.9] hours. Twenty-three (74%) patients were admitted with primary respiratory failure, five (16%) after cardiac surgery, two (7%) for septic shock and one (3%) patient was admitted after trauma. Cuffed ETTs were used in 23 (74%) patients. Twenty-four (77%) patients were ventilated using pressure controlled (PC) / assist control (AC), 6 (19%) were supported with continuous positive airway pressure (CPAP) plus pressure support (PS) and one patient was on pressure-regulated volume control (PRVC/SIMV) + PS. During the recordings, median Vte was 6.9 [6.2; 7.6] mL/kg actual bodyweight, median end-tidal CO 2 6.42 [5.81; 7.18] kPa and median Comfort B score 12 [10; 12] (Table 1) .

Nine-hundred-and-fifty-nine trigger errors in 28 (90%) patients were identified, yielding a median TEindex of 9.7% [1.3; 22.5] . Patients had significantly lower TE-index when they were ventilated with a higher set inspiratory pressure (r = 0.537, p = 0.006), 

Analyzing the data set according to a paediatric and adult definition for severe asynchrony (i.e. TEindex > 75th percentile and > 10%) did not yield different results regarding patient discomfort, duration of MV or PICU stay [9, 30] . In addition, a subgroup analysis was made for patients who spend the highest amount of work-of-breathing on ineffective triggering (i.e. PTP CUMULATIVE_PVA > 75th percentile, > 17.7 cm H 2 O*s) (Fig. 2) . Subgroup analyses are shown in the online data supplement.

To our best knowledge this is the first study investigating the physiological effects of trigger errors in a heterogeneous group of ventilated children. Our main finding was that the additional work-of-breathing caused by trigger errors showed great variability among patients. Overall we found that the more asynchronous breaths were present the higher the work-of-breathing of these breaths. Our data also suggested that preserved respiratory muscle strength and higher spontaneous breath rate led to a lower amount of trigger errors. Yet, in our study PVA was not associated with prolonged duration of MV or PICU stay.

MV is initiated to reduce the respiratory muscle workload until the clinical condition of the patient has at least partially improved. However, there is limited data on acceptable levels of PTP in mechanically ventilated children. In healthy adults, PTP varies between 50 and 150 cm H 2 O*s/min [21] . Khemani [30] . The PTP values observed in our study were lower than those previous reports. This might be explained by the fact that we also included patients early in the course of MV and not specifically during the weaning phase, thus our results may have been affected by the degree of respiratory muscle strength. We observed that that the additional energy expenditure from trigger errors was 11 [30, 31] . Nonetheless, we did find that the percentage of the additional work caused by trigger errors could reach up to 34-42% of energy expenditure albeit that the PTP values still remained low. Although this high percentage of wasted energy might be interpreted as unwanted, we could not demonstrate an association with adverse patient outcome. There is also very little data on ΔP oes in mechanically ventilated children. In our study ΔP oes during trigger errors for the entire population and for the patients with severe PVA were below values Mortamet et al. and Rubin et al. described in paediatric population receiving MV [30, 32] . Because the ΔP oes for trigger errors were below pleural pressure swings during conventional MV it may be supposed these pleural pressure swings did not contributed to patient self-inflicted lung injury. During the first 2 years of life there is a substantial reduction in chest wall compliance [33] . Hence, the question remains if paediatric patients can generate large pleural pressure swings, because of their compliant chest wall.

In our study, PTP CUMULATIVE PVA increased with more asynchrony. In addition, with an increase in asynchrony we found that also PTP and ΔP oes for an individual trigger error increased. These observations may have clinical implications. If trigger errors are merely detected using flow-and pressure-time tracings and not by measuring true patient effort using oesophageal pressure tracings, differentiation between "acceptable" and "harmful" trigger errors is not possible. This differentiation might be important, because the variability in PTP and ΔP oes for an individual ineffective breath could partially explain that PVA has different effects on patient outcome. To illustrate, de Wit et al. and Blanch et al. described that PVA in the first 24 h and throughout MV was associated with prolonged ventilation time and mortality [14, 15] . In contrast, PVA during the weaning phase, using the same cut of values, was not associated with adverse clinical outcome [34] . It may be surmised that during the acute phase of disease causes patients generate more work and thus potentially injurious, larger pressure swings because respiratory system compliance (Crs) and respiratory muscle strength is reduced. Experimental work showed high pulmonary pressures swings generated by spontaneous breathing efforts worsened lung injury despite limiting plateau pressures [35] . When the clinical condition of the patient improves, the patient needs and is able to generate lower work to trigger the ventilator.

Some limitations of our study must be addressed. First, our data represents a single-center study, limiting generalizability. Second, in this study we found a lower TE-index than we previously did [24] . This is probably due to a difference in methodology to detect PVA. In our previous study we detected PVA using ventilator scalars without oesophageal pressure tracings, thereby probably overestimating the actual prevalence of PVA. Also, in the present study, patients were ventilated with a different ventilator brand with potentially differences in triggering response time [26] . Lastly, patients were randomly selected (as we had previously done), thereby potentially under-or overestimating TE. Third, we performed 5-min recordings. Because the occurrence of PVA is variable during the course of mechanical ventilation and even during the day we may have over-or underestimated the prevalence of trigger errors [15] . Last, our study mainly included patients younger than 1 year of age with relative higher respiratory rates, limiting extrapolation of our findings to older children and adults.

The additional work-of-breathing caused by trigger errors in ventilated children can take up to 30-40% of the total work-of-breathing. Trigger errors were less common in patients breathing spontaneously and those able to generate higher PTP and pressure swings.

Supplementary information accompanies this paper at https ://doi. org/10.1186/s1293 1-020-01561 -3. 

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AAK and RGTB analysed the data. RGTB and JvD collected the data. RGTB drafted the manuscript. MK supervised the study and is responsible for