Devices
Six devices suitable for NIV and available in European hospitals were studied: Savina 300 (Dräger, Germany), Elisa 500 (Löwenstein Medical, Germany), Hamilton C3 (Hamilton Medical, Switzerland), Servo Air (Maquet, Sweden), Mindray 300 (Mindray Biomedical, China) and Philips Trilogy Evo/EV300 (Philips, United States of America). They were used with the appropriate limbs and connectors according to each manufacturer guidelines, and calibrated before each laboratory session.
Lung model
For the experiment we used the lung model Active Servo Lung 5000® (ASL5000®- IngMar Medical, Pittsburgh, PA; software version SW3.6). It consists of a computer- operated piston that simulates spontaneous breathing by displacing a predetermined volume; piston displacement is controlled following the equation of motion of the Respiratory System and allows adjusting the values of airway resistance (Raw) and compliance of the respiratory system (Crs), mimicking different mechanical conditions and inspiratory muscle efforts. (3, 4) To simulate different leak levels, Simulator Bypass and Leak Valve Module of ASL5000©, was also used. This simulator has been used and validated in many previous works (5–14). Before each session, calibration of pressure, flow and volume was performed against standards using a custom pressure water column, a differential pressure flowmeter (Validyne MP45, ± 2.5 cmH2O, Northridge, CA) and a calibration syringe (Hans Rudolph KS, USA).
Simulated breathing test
Respiratory system conditions For analysis, three mechanical patterns of the respiratory system were defined: standard (S) [Crs = 50 ml/cmH2O, Raw = 5 cmH2O*s/l], obstructive (O) [Crs = 50, Raw = 20] and restrictive (R) [Crs = 20, Raw = 5]. (15–17)
Spontaneous ventilation Choosing a scheme similar to previous analysis (2, 7, 22–26, 8–10, 16, 18–21), standard settings were adjusted as spontaneous respiratory rate (RR) 12 breaths per minute (bpm); two levels of inspiratory muscle effort were defined by airway occlusion pressure (P0.1): low (Le) P0.1= -0.9 cmH2O, and normal (Ne) P0.1= -3.5 cmH2O (27–29). Patient effort model selected was sinusoidal, with inspiratory rise time 15%, inspiratory hold time 0%, inspiratory release time 18.3% and no expiratory activity.
Ventilatory modes and settings Ventilators were set in ACV with VT 500 ml, and in PSV with two levels of pressure (Paw): 10 (PSV10) and 20 (PSV20) cmH2O. Ventilator respiratory rate was 10 bpm (I/E 1:2 in ACV), PEEP 5 cmH2O with minimal flow triggering (maximum sensitivity) of 0.5-1lpm without developing auto- triggering (AT). If AT was detected, increase in flow triggering was adjusted up to 2 lpm to avoid them (30). Higher flow triggering would increase the TDT resulting in a decrease in PTP; this may worsen patient work of breathing and respiratory drive promoting patient-ventilator asynchronies. Other settings remained by default, including bias flow (set by manufacturer). Two leak levels were also simulated by using the Simulator Bypass and Leak Valve Module of ASL5000©: 6 lpm (moderate, M) and 10 lpm (high, H) measured at 10 cmH2O.(31) In PSV, the fastest value for pressurization rate (shorter rise time) was set, expiratory trigger at 25% peak flow and other settings by default.
With both ventilatory modes (ACV and PSV) combining mechanical pattern, inspiratory muscle effort and leak level, thirty-six experimental conditions were obtained (see Table 1). In all of them a minimum time of one minute was left for stabilization of the system (until clear sequence of cycles with similar morphology appeared); then consecutive respiratory cycles corresponding to one minute (minimum of 10 cycles) were recorded for subsequent analysis. The curves and data values of muscle pressure (Pmus), airway pressure (Paw) and flow were recorded and exported to an Excel spreadsheet. With those curves delivered volume, trigger response, pressurization capacity and asynchronies (incidence and type) were evaluated; sampling frequency of the curves was 512 Hz.
Table 1
Experimental conditions in the bench test. ACV: assist-control ventilation, PSV: pressure support ventilation, S: standard mechanical pattern, O: obstructive mechanical pattern, R: restrictive mechanical pattern.
Effort
|
Leak
|
Pattern
|
Ventilatory mode
|
ACV
|
PSV10
|
PSV20
|
Low
|
Moderate
|
S
|
1
|
13
|
25
|
O
|
2
|
14
|
26
|
R
|
3
|
15
|
27
|
High
|
S
|
4
|
16
|
28
|
O
|
5
|
17
|
29
|
R
|
6
|
18
|
30
|
Normal
|
Moderate
|
S
|
7
|
19
|
31
|
O
|
8
|
20
|
32
|
R
|
9
|
21
|
33
|
High
|
S
|
10
|
22
|
34
|
O
|
11
|
23
|
35
|
R
|
12
|
24
|
36
|
Measurements Delivered V
T was measured in ml for all synchronous respiratory cycles in ACV; when synchronization was not achieved in any cycle, V
T was measured in auto-triggering (AT) cycles in which V
T is theoretically equivalent to the V
T delivered in a controlled cycle. Trigger response was evaluated as the delay in triggering response (TDT) in ms, measured from the initial drop in muscular pressure to the onset of inspiratory flow above default bias flow. Pressurization capacity was evaluated through PTP500, in % of ideal Pressure-time product (see Fig.
1) measured as the area under the airway pressure from the initial drop to 500 ms. Synchronization was evaluated by Asynchrony Index (AI)and types of asynchronies (time and flow asynchronies):
A) Asynchrony Index (AI): is the simplest method to evaluate synchronization. It is calculated as the number of asynchronous events divided by the total number of respiratory cycles (sum of triggered and non-triggered cycles), expressed as a percentage. It takes into account: ineffective efforts (IE), auto-triggering (AT), reverse triggering (RT) and double trigger (DT). An AI ≥ 10% is considered clinically relevant. (3–7)
B) Qualitative analysis of the asynchronies developed during the experiment: carried out by inspection and visual detection of the flow curves, Paw and Pmus of the recorded cycles. The asynchronies developed in all conditions were mainly time asynchronies (IE, AC and RT). (8)
Protocol sequence Before initiating any ventilator experiment, we assessed P0.1 by recording an occlusion maneuver in the inspiratory port of the lung model (see Supplementary Material: Occlusion maneuver, Table 2 and Figs. 2–5). After stabilization of the ventilator-lung system, ten to twelve breathing cycles were recorded at each condition and stored for off-line analysis.
Statistical analysis Each parameter value was represented as mean and standard deviation (SD) of ten breaths (whenever it was possible). Standard deviation showed very small differences (range 1–2%) as expected during bench test conditions; but SD was not representative when high incidence of asynchronies appeared. We used Kruskal-Wallis rank sum test to detect statistical significant differences among groups. Once differences among pairs of ventilators were found, we used Wilcoxon rank sum exact test to find out which groups were statistically different. A P value < .05 was considered statistically significant. Asynchrony analysis was performed by visual inspection of respiratory cycle graphs for each experimental condition; the evaluation was carried out individually by two researchers on the same traces agreeing on type and magnitude of asynchronies. Values taken for reference were based on the safety standards in design and manufacture of ventilators for home use (ISO 80601-2-72:2015 Medical electrical equipment) (9) assuming a negligible variability intra-condition that was not considered clinically relevant. (3, 6, 10)