key: cord-0839669-od7zex3f authors: Savary, D.; Lesimple, A.; Beloncle, F.; Morin, F.; Templier, F.; Broc, A.; Brochard, L.; Richard, J.-C.; Mercat, A. title: Reliability and limits of transport-ventilators to safely ventilate severe patients in special surge situations. date: 2020-10-09 journal: nan DOI: 10.1101/2020.10.07.20208561 sha: 645c91f68335eb24e4918c86dbed4ccafad0c1dc doc_id: 839669 cord_uid: od7zex3f Background: Several Intensive Care Units (ICU) have been overwhelmed by the surge of COVID-19 patients thus necessitating to extend ventilation capacity outside the ICU where air and oxygen pressure are not always available. Transport ventilators requiring only O2 source may be used to deliver volume-controlled ventilation. Objective: To evaluate the performances of four transport ventilators compared to an ICU ventilator simulating severe respiratory conditions. Materials and methods: Two pneumatic transport ventilators, (Oxylog 3000, Draeger; Osiris 3, Air Liquide Medical Systems) and two turbine transport ventilators (Elisee 350, ResMed; Monnal T60, Air Liquide Medical Systems) were compared to an ICU ventilator (Engstrom Carestation - GE Healthcare) using a Michigan training test lung. We tested each ventilator with different set volumes Vtset (350, 450, 550 ml) and different compliances (20 or 50 ml/cmH2O) and a resistance of 15 cmH20/L/sec based on values recently described in COVID-19 Acute Respiratory Distress Syndrome. Volume error was measured, as well as the trigger time delay during assist-control ventilation simulating spontaneous breathing activity with a P0.1 of 4 cmH20. Results: Grouping all conditions, the volume error was 2.9 +/- 2.2 % for Engstrom Carestation; 3.6 +/- 3.9 % for Osiris 3; 2.5 +/- 2.1 % for Oxylog 3000; 5.4 +/- 2.7 % for Monnal T60 and 8.8 +/- 4.8 % for Elisee 350. Grouping all conditions, trigger delay was 42 +/- 4 ms, 65 +/- 5 ms, 151 +/- 14 ms, 51 +/- 6 and 64 +/- 5 ms for Engstrom Carestation, Osiris 3, Oxylog 3000, Monnal T60 and Elisee 350, respectively. Conclusions: In special surge situations such as COVID-19 pandemic, most transport ventilators may be used to safely deliver volume-controlled ventilation in locations where only oxygen pressure supply is available with acceptable volume accuracy. Performances regarding triggering function are generally acceptable but vary across ventilators. During the COVID 19 pandemic, some hospitals experienced the greatest shortage of ventilators ever seen since the heroic times of the polio epidemic in the 1950s. In this context, different alternative solutions including ventilator sharing and use of anesthesia ventilators have been considered to manage intubated patients with severe lung failure outside the walls of the ICU [1, 2] . For this purpose, ventilators must be relatively easy for the users, able to deliver reliable volume-controlled ventilation in difficult mechanical conditions adapted to the principles of protective lung ventilation. Importantly, they must allow to vary FiO 2 without requiring two pressurized sources of gas, (i.e. wall air and oxygen at 50 psi). Several transport ventilators are based on pneumatic systems and Venturi systems for gas mixing; others use an internal turbine for pressurization; in this case, a low pressure source of oxygen is needed for increasing oxygen concentration, but not as a pressure source. They all represent interesting solutions in this context and could fulfill the requirements mentioned. Pneumatic transport ventilators have been used for decades both for in-and out-of-hospital transport. Their robustness and their relative technological simplicity could potentially facilitate massive industrial production. The general view on these ventilators is, however, that their limitations make them acceptable for a short period like transport but make them incompatible with the safe delivery of difficult ventilation for very sick patients over prolonged periods. Undoubtedly, they have limited capacities regarding ventilation modes and monitoring, but we questioned whether their performance for delivering lung protective ventilation in patients with ARDS merited to be tested again with these objectives in mind. Indeed, discarding their use in a context of surge could limit the extension of offering ICU beds possibilities for mechanically ventilated patients. The performance and limits of these ventilators have not been specifically tested with the appropriate settings and realistic conditions simulating the respiratory mechanics of patients with COVID-19 induced ARDS [3] [4] [5] [6] . is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted October 9, 2020. . https://doi.org/10.1101/2020.10.07.20208561 doi: medRxiv preprint The aim of the present study was to evaluate the safety, reliability and limitations of ventilation provided by these different technologies in simulated bench conditions of severe respiratory mechanics mimicking patients with COVID-19 induced ARDS. . CC-BY-NC-ND 4.0 International license It is made available under a perpetuity. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted October 9, 2020. . https://doi.org/10.1101/2020.10.07.20208561 doi: medRxiv preprint Four portable ventilators necessitating only one O 2 pressurized gas source were included in the study. Two pneumatic transport ventilators using Venturi systems to mix air to oxygen were tested: the Oxylog 3000 (Draeger, Lubeck, Germany) and the Osiris 3 (Air Liquide Medical Systems, Antony, France). Two turbine transport ventilators necessitating additional oxygen only to increase FiO 2 were also tested: the Elisee 350 (ResMed, San-Diego, USA) and the Monnal T60 (Air Liquide Medical Systems, Antony France). The objective was to assess their capability to deliver acceptable ventilation by comparing their performances to a standard ICU ventilator: Engström Carestation (GE healthcare, Madison, USA). The characteristics of the five ventilators are given in Table 1 . In the two pneumatic transport ventilators tested (Oxylog 3000 and Osiris 3), the working pressure that generates ventilation comes from the high-pressure oxygen supply. These ventilators based on "Venturi-distributor" technology work as flow generator. With the Oxylog 3000, the air-O 2 mixing is regulated from 40% to 100% via a Venturi system coupled with a proportional inspiratory valve that also permits to directly set the volume (Vt set ). The inspiratory flow depends on both the respiratory rate (RR) and the Inspiratory:Expiratory (I:E) ratio. In other words, for a given set volume, changing RR and/or I:E ratio keep the set Vt but affects inspiratory flow. The monitoring of the expired Vt is available via a specific flow sensor inserted between the endotracheal tube and the patient circuit. With the Osiris 3, the pneumatic system is based on the Venturi effect to entrain ambient air into the ventilator for FiO 2 management coupled with a distributor for inspiratory flow setting. Only two . CC-BY-NC-ND 4.0 International license It is made available under a perpetuity. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted October 9, 2020. . https://doi.org/10.1101/2020.10.07.20208561 doi: medRxiv preprint positions are available for FiO 2 : 100% or an FiO 2 around 70%. For a given combination of I:E ratio and respiratory rate, the Vt is set by directly adjusting a Vt knob that regulates the inspiratory flow. The monitoring of the expired Vt is available via a specific flow sensor inserted between the endotracheal tube and the patient circuit. The Elisee 350 and T60 are two turbine-based ventilators which need oxygen only to adjust FiO 2 . On those ventilators, the Vt and the inspiratory flow are directly set. Changing the respiratory rate does not affect neither Vt nor inspiratory flow. The Engström Carestation is a classical high-quality ICU ventilator requiring two sources of pressurized gas for oxygen and air (usually wall pressure at 50-55 psi). We assessed the volume effectively delivered (Vtemeasured) by the ventilators in different conditions of respiratory mechanics simulated on a Michigan test lung (Michigan Instruments, Kentwood, MI, USA). is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted October 9, 2020. . https://doi.org/10.1101/2020.10.07.20208561 doi: medRxiv preprint conditions tested were: compliance of 50 ml/cmH 2 O and 20 ml/cmH 2 O, both combined with a resistance of 15 cmH 2 O/L/s. The combinations of compliance and resistance tested were based on recently described COVID-19 respiratory mechanics [3] [4] [5] [6] . Assist Control Ventilation (ACV) mode was selected and similar ventilator settings were applied for each ventilator (respiratory rate 30 cycles/min). The pneumatic transport ventilators were set with an Inspiratory:Expiratory ratio of 1:3 (I:E) whereas a flow of 60L/min was adjusted on the Engström Carestation, Elisee 350 and Monnal T60. The three set volumes were tested with FiO 2 100% and 70% (air-O 2 mix for Osiris 3) as follows: FiO 2 was selected, Vt set was adjusted on the ventilator and Vtemeasured was recorded and averaged over 5 cycles after stabilization. FiO 2 was measured on Osiris 3 when air-O 2 mix was selected with a PF300 gas analyzer (IMT Medical, Buchs, Switzerland) in different conditions (Vt = 350 -450 -550 mL and Compliance = 20 -50 mL/cmH 2 O). The performances of Venturi-based ventilation in terms of volume delivery could be altered by set inspiratory flow values [7] . To assess the impact of the inspiratory flow, Vte error was calculated on the Osiris 3 ventilator. We set a volume of 450 ml using a wide range of inspiratory flows achieved by changing respiratory rate (RR). ACV mode with air-O 2 mix was selected, a resistance of 15 cmH 2 O/L/s and a compliance of 20ml/cmH 2 O were applied and we set a I:E ratio of 1:3. The lowest RR (6 cycles/min) was chosen and was progressively increased by 4 cycles/min until reaching the maximum RR of 40 cycles/min. Vte set had to be adjusted in consequence at each RR increment to keep its value at 450 ml. Vte error was estimated at each step. Two levels of PEEP were applied (10 cmH 2 O and 15 cmH 2 O) and the accuracy of the effective PEEP (PEEP measured ) was assessed. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted October 9, 2020. . https://doi.org/10.1101/2020.10.07.20208561 doi: medRxiv preprint The relative volume error (Vte error ), which is the difference between the effective expired volume (Vte measured ) and the set volume (Vte set ) was calculated and averaged as previously described over the four different conditions [8, 9] : Ventilation was considered safe and acceptable when Vte measured was within ± 0.5 ml/kg PBW, which covers a volume between 5.5 and 6.5 ml/kg PBW. This corresponds to an 8% difference between set and measured Vt. End-point for PEEP: a difference between measured PEEP and set PEEP was acceptable when less than 2 cmH 2 O. Assist control ventilation (ACV) with the inspiratory trigger function "on" was tested by connecting is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted October 9, 2020. . https://doi.org/10.1101/2020.10.07.20208561 doi: medRxiv preprint connection between the two chambers, so that a positive pressure created in the driving lung induced a negative pressure in the experimental lung, leading to trigger the ventilator tested. The driving lung was connected to an Evita XL ventilator (Draeger, Lubeck, Germany) and set in volumecontrolled mode with constant flow. The respiratory rate was set at 25 breaths/ min. The ventilatory settings were chosen to achieve a decrease in airway pressure 100 ms after occlusion (P 0;1 ) of 4 cmH 2 0 (consistent with P 0;1 values recently described in COVID patients [10] ), measured at the airway opening of the lung model [11] . A level of PEEP was applied to the driving lung to obtain a perfect contact of the lung-coupling clip between the two chambers at the end of expiration. For each configuration, trigger performance was assessed by measuring airway pressure changes using the flow trace to determine the start of inspiration [9, 12] . Negative pressure drop (∆P, cmH 2 0), Triggering Delay (TD, ms) and Pressurization Delay (PD, ms) as defined on figure 1 were computed. The overall Inspiratory Delay (ID) corresponds to the addition of TD and PD. End-point: triggering function was considered as "safe and acceptable" when TD was less than 100 ms. Continuous variables were expressed as mean ± SD values averaged from 5 consecutive breaths. These variables were compared using an ANOVA test. The type I significance level was set at 0.05. When the . CC-BY-NC-ND 4.0 International license It is made available under a perpetuity. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted October 9, 2020. . https://doi.org/10.1101/2020.10.07.20208561 doi: medRxiv preprint global F was significant, post hoc tests were computed using a student t-test with Bonferroni correction, which sets the level of significance for pairwise differences between the five ventilators at 0.005. . CC-BY-NC-ND 4.0 International license It is made available under a perpetuity. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted October 9, 2020. . https://doi.org/10.1101/2020.10.07.20208561 doi: medRxiv preprint Results are displayed in figure 2 and mean volume errors (Vte error ) for each ventilator are shown in Table 2 . When all conditions and set volumes were included, the Engström Carestation was the most precise ventilator, and the Oxylog 3000 was comparable. Each ventilator performance was considered as acceptable (delta Vt ± 0.5ml/kg PBW) except for one turbine ventilator (Elisee 350). The impact of FiO 2 selection (FiO2 100% or 70%) on volume error was significant considering all ventilators (p < 0.05), reaching a maximum of 11.9 % for Elisee 350 with FiO 2 100% (changes for each ventilator are available on When all conditions were put together, differences between measured PEEP and set PEEP were less than 2 cmH 2 O as shown on table 2. The effect of inspiratory flow rates on Vte error for Osiris 3 is shown on figure 3 . The lowest values of inspiratory flow are associated with a Vte error above 8% (delta Vt ± 0.5ml/kg PBW). Performances are acceptable when inspiratory flow (resulting from the combination of Vt, I:E ratio and respiratory rate) was strictly above 30 L/min, which corresponds to a respiratory rate higher than 20 cycles/min. Inspiratory trigger was evaluated for each ventilator and results are displayed on figure 4. All simulated efforts triggered a ventilatory cycle. The Triggering Delay was 42 ± 4 ms, 65 ± 5 ms, 151 ± 14 ms, 51 ± 6 ms and 64 ± 5 ms for Engström Carestation, Osiris 3, Oxylog 3000, Monnal T60 and Elisee 350, is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted October 9, 2020. . https://doi.org/10.1101/2020.10.07.20208561 doi: medRxiv preprint respectively (all conditions grouped). Each ventilator performance was considered as acceptable (TD < 100ms) except for one pneumatic ventilator (Oxylog 3000). The Inspiratory Delay (ID) was measured at 54 ± 5 ms for Engström Carestation, 95 ± 5 ms for Osiris 3, 217 ± 21 ms for Oxylog 3000, 72 ± 6 ms for Monnal T60 and 85 ± 7 ms for Elisee 350 and (p < 0.05; pairwise differences between ventilators were all significant with a p-value < 0.005). A similar trend was observed for triggering delay. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted October 9, 2020. . https://doi.org/10.1101/2020.10.07.20208561 doi: medRxiv preprint The results of the present bench test study comparing turbine and pneumatic transport ventilators to an ICU ventilator, can be summarized as follows: 1. Turbine ventilators show performance in VC and ACV very close to the ICU ventilator tested for most of the settings. 2. In severe respiratory mechanics conditions, the volume error exceeds 0.5 ml/kg PBW only for one turbine ventilator. 3. Inspiratory trigger reactivity is less than 100 ms except for one pneumatic transport ventilator. 4. Volume error delivered by the simplest pneumatic ventilator significantly increases when inspiratory flow is less than 30 L/min indicating a technological limit of the Venturi system. worldwide crisis, and the ventilators shortage reported in some severely affected countries, has led to discuss the possibilities to manage intubated patients outside the walls of the ICU [2] . According to this dire scenario, simple and easy to set ventilators that only require one oxygen pressure source to function and able to deliver lung protective ventilation could be considered. In addition, an assisted volume mode that ensures the set Vt with PEEP up to 15 cmH 2 O and FiO 2 up to 100% is required to manage high elastic load and severe shunt that characterize potentially severe COVID -19 ARDS [1, 2] . Recent turbine transport and emergency ventilators have performances which are very close to conventional ICU ventilators [13, 14] . In the context of "mass casualty", as experienced with the COVID-19 crisis, pneumatic transport ventilators could be used to extend the possibility to manage intubated patients in case of ICU beds shortage. The working principle of these pneumatic ventilators is based on a "Venturi system" which is a simple technological solution that permits to manage ventilation generated by the oxygen pressurized source when a position called air-O 2 mix is selected. Interestingly, the simplicity of such pneumatic systems permits to consider massive industrialization faster and at a lower cost. On the opposite, the Venturi system explains the limits observed with low inspiratory flow previously described with this technology [7] . is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted October 9, 2020. . https://doi.org/10.1101/2020.10.07.20208561 doi: medRxiv preprint In case of high impedance, a low inspiratory flow may increase significantly volume error when the O 2 air mix position is selected "on". In turn, manipulating I:E ratio, respiratory rate and increasing inspiratory flow above 30 L/min permits to reverse the Vt error that is directly explained by the working principle of this ventilator (see figure 3) . The technological adaptations available on Oxylog 3000 (Venturi coupled with proportional inspiratory valve) solve this problem while expired Vt monitoring available on Osiris 3 simplifies settings adaptation if required. Previous bench test studies have reported a Vt error with pneumatic basic transport ventilators that reached 20% of set Vt with resistive load [7, 15] . These experiments were performed with very low set inspiratory flow thus explaining the Vt reduction observed. For this purpose, an essential recommendation is to set the I:E ratio at 1:3 (minimal available value), and set the RR above 20 /min before adjusting the knob (that controls the inspiratory flow) to reach the set Vt as indicated on the ventilator. With these recommendations, volume error measured on pneumatic transport ventilators at low compliance are closed from turbine performances and acceptable since it did not exceed 0.5 ml/kg PBW. Of note, only the ICU and turbine ventilators tested compensate for the loss in Vt due to the compression of gas inside the circuit. Nevertheless, this effect previously quantified in ICU ventilators with inspiratory-expiratory circuits is significantly less in basic transport ventilators since they are equipped with a single limb circuit [8] . Of note, an HEPA filter can be easily adjusted on the expiratory limb and they should not expose to higher risks of viral contamination. Recent experience with COVID-19 induced ARDS reports that these patients often exhibit high respiratory drive and asynchrony that may require deep sedation and sometimes paralysis [4] . We therefore evaluated the behavior of these two pneumatic transport ventilators during triggered breaths since performances of their trigger have been questioned [14, 15] . The synchronization was overall respected except for the Oxylog 3000 exhibiting the poorest triggering performances. The is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted October 9, 2020. . https://doi.org/10.1101/2020.10.07.20208561 doi: medRxiv preprint triggering time delay was consistently longer in pneumatic ventilators but acceptable except on the Oxylog 3000, compared to the ICU ventilator [14] . The results obtained in vitro necessitate some caution to be translated to the clinical practice, but previous studies showed that this type of simulation predicts the results observed in clinical situations with a high fidelity [8, 16, 17] . The lung model gives the unique opportunity to compare ventilator performances according to several simulated but standardized clinical conditions. Bench experiment also permits to accurately depict and understand advantages and limits of the different ventilator's technologies as previously done [7] . Our experiment reported performances of only two pneumatic and two turbine ventilators while several other ventilators with similar technology are available worldwide. We did not evaluate pressure support ventilation while this approach can be useful to manage weaning of COVID-19 patients. Previous studies already showed that turbine-based ventilator significantly outperform pneumatic transport ventilators during pressure mode ventilation [13, 14] . The present bench study suggests that turbine technologies may replace ICU ventilators to extend ICU beds where only oxygen pressure supply is available, in special surge situations such as COVID -19 crisis. Pneumatic transport ventilators provide acceptable volume accuracy even in severe simulated conditions. For this purpose, attention is required to maintain sufficient inspiratory flow in the Osiris 3 (or any other pneumatic ventilator using a venturi system). A monitoring of expired Vt available on the two pneumatic transport ventilators tested greatly facilitates settings. Performances regarding triggering function are non-acceptable in one of the pneumatic transport ventilator thus rendering hazardous its use in assist control ventilation. is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint The copyright holder for this this version posted October 9, 2020. . https://doi.org/10.1101/2020.10.07.20208561 doi: medRxiv preprint Compliance, resistance and PEEP were set at 20 ml/cmH 2 O, 15 cmH 2 O/L/sec and 10 cmH 2 O respectively. Black circles were obtained with 100% FiO 2 while the white circles were obtained with 70% FiO 2 . Respiratory rate associated with each point is also displayed. This figure illustrates that for an inspiratory flow below 30 L/min, the Vt error is substantial with 70% FiO 2 . 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Crit Care Evaluation of ventilators used during transport of ICU patients -a bench study Patient-Ventilator Asynchrony During Noninvasive Ventilation Performance of noninvasive ventilation modes on ICU ventilators during pressure support: a bench model study • Vteerror global = mean volume error including all conditions of resistance (15 cmH 2 O/L/sec), compliance (20 -50 ml/cmH 2 O) and PEEP (10 -15 cmH 2 O) for both 100% FiO2 and 70% FiO2 • Vteerror 100% FiO2 = mean volume error including all conditions of resistance (15 cmH 2 O/L/sec), compliance (20 -50 ml/cmH 2 O) and PEEP (10 -15 cmH 2 O) for 100% FiO2 • Vteerror 70% FiO2 = mean volume error including all conditions of resistance (15 cmH 2 O/L/sec), compliance (20 -50 ml/cmH 2 O) and PEEP (10 -15 cmH 2 O) for 70% FiO2 • Vteerror C50 = mean volume error including all conditions of resistance (15 cmH 2 O/L/sec), FiO2 (100 -70 %) and PEEP (10 -15 cmH 2 O) for a compliance of 50 ml/cmH 2 O • Vteerror C20 = mean volume error including all conditions of resistance (15 cmH 2 O/L/sec), FiO2 (100 -70 %) and PEEP (10 -15 cmH 2 O) for a compliance of 20 ml/cmH 2 O • Mean PEEP 10 = mean PEEP measured when PEEP was set at 10 cmH 2 O including all conditions of resistance (15 cmH 2 O/L/sec) and compliance (20 -50 ml/cmH 2 O) for both 100% FiO2 and 70% FiO2 • Mean PEEP 15 = mean PEEP measured when PEEP was set at 15 cmH 2 O including all conditions of resistance (15 cmH 2 O/L/sec) and compliance (20 -50 ml/cmH 2 O) for both 100% FiO2 and 70% FiO2