Literature DB >> 32515988

Ventilator Sharing during an Acute Shortage Caused by the COVID-19 Pandemic.

Jeremy R Beitler1, Aaron M Mittel1, Richard Kallet2, Robert Kacmarek3, Dean Hess3, Richard Branson4, Murray Olson5, Ivan Garcia5, Barbara Powell5,6, David S Wang1, Jonathan Hastie1, Oliver Panzer1, Daniel Brodie1, Laureen L Hill5, B Taylor Thompson3.   

Abstract

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Year:  2020        PMID: 32515988      PMCID: PMC7427377          DOI: 10.1164/rccm.202005-1586LE

Source DB:  PubMed          Journal:  Am J Respir Crit Care Med        ISSN: 1073-449X            Impact factor:   21.405


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To the Editor: Coronavirus disease (COVID-19) is a rapidly expanding global pandemic. In March 2020, models forecasted imminent exhaustion of regional ventilator supply in New York (1). In response, we developed a novel ventilator sharing strategy to support two patients simultaneously with one ventilator. This report details our initial ventilator sharing experience among patients with COVID-19–associated acute respiratory distress syndrome (ARDS).

Methods

Ventilator sharing commenced as a public health preparedness initiative approved by the hospital leadership and ethics committee and by New York State (2). The clinical protocol and detailed methods are provided in the online supplement and https://protocols.nyp.org.

Patient selection

Respiratory physiology, infectious status, and clinical stability were evaluated to identify compatible patient pairs using prespecified criteria (Table 1). The protocol prioritized minimizing between-patient difference in driving pressure given the importance of protective tidal ventilation in ARDS (3).
Table 1.

Recommended Initial Patient Compatibility Criteria

ParameterAcceptable Limit in Either PatientAcceptable Difference between Patients (Patient A − Patient B)
Anticipated time needing invasive ventilation, h72 or higher
Vt, ml/kg PBW4–8
Driving pressure (∆P = plateau pressure − PEEP), cm H2O5–160–6*
Respiratory rate, breaths/min12–300–8
PEEP, cm H2O5–180–5
FiO2, %21–60
pH7.30 or higher
Oxygen saturation, %92–100
Ventilator titrationNo recent major changes as judged clinically
Neuromuscular blockadeNo contraindication to initiation if not already receiving
Respiratory infectious statusBoth patients have same respiratory pathogenNone
Asthma or COPDNo severe baseline disease nor current exacerbation
Hemodynamic stabilityNo rapid vasopressor increase

Definition of abbreviations: COPD = chronic obstructive pulmonary disease; PBW = predicted body weight; PEEP = positive end-expiratory pressure.

If patients do not meet all criteria, pairing them on a single ventilator is not recommended. Further details are provided in the full protocol (see the online supplement). PBW denotes predicted body weight in kg, calculated for males as PBW = 50 + 2.3 [height (inches) – 60] and for females as PBW = 45.5 + 2.3 [height (inches) – 60].

Acceptable differences for between-patient parameters were specified only for driving pressure, respiratory rate, PEEP, and respiratory infectious status.

Between-patient difference in driving pressure is the most important parameter to minimize in assessing potential compatibility of two patients.

Recommended Initial Patient Compatibility Criteria Definition of abbreviations: COPD = chronic obstructive pulmonary disease; PBW = predicted body weight; PEEP = positive end-expiratory pressure. If patients do not meet all criteria, pairing them on a single ventilator is not recommended. Further details are provided in the full protocol (see the online supplement). PBW denotes predicted body weight in kg, calculated for males as PBW = 50 + 2.3 [height (inches) – 60] and for females as PBW = 45.5 + 2.3 [height (inches) – 60]. Acceptable differences for between-patient parameters were specified only for driving pressure, respiratory rate, PEEP, and respiratory infectious status. Between-patient difference in driving pressure is the most important parameter to minimize in assessing potential compatibility of two patients. In eligible patient pairs, deep sedation and neuromuscular blockade were initiated. Ventilators were set to pressure control with the initial driving pressure and inspiratory time adjusted to maintain each patient’s baseline Vt. Then, driving pressure, inspiratory time, respiratory rate, and positive end-expiratory pressure (PEEP) were adjusted per protocol (see the online supplement), typically using the average value between patients unless otherwise indicated, to achieve identical settings for both patients. Inspired oxygen was adjusted as needed to maintain SaO of 95% or higher. Thereafter, a safety check confirmed that Vt, minute volume, auto-PEEP, and arterial blood gas results remained within acceptable ranges. After demonstrating tolerance to identical settings on separate ventilators, patients were transitioned to a shared ventilator with the same settings.

Circuit configuration

Circuit configuration safety features included redundant antimicrobial filters and patient-specific monitoring of Vt, airway pressure, and capnography (see the online supplement). Proper dual-circuit functioning was confirmed with test lungs before transitioning patients.

Patient management

Neuromuscular blockade and the pressure control mode were used during ventilator sharing to prevent respiratory effort or mechanical changes in one patient from affecting the other. Additional patient care considerations were followed per protocol. Patient care was directed by the patients’ usual clinical team with support and assistance as needed from the ventilator sharing consult. The consult consisted of either of two intensivists (J.R.B. or A.M.M.) intimately familiar with the protocol, who alternated around-the-clock call whenever patients were on a shared ventilator. Ventilator sharing was predetermined not to exceed 2 days unless ventilator supply was exhausted.

Statistical analysis

Data were recorded during and for 48 hours before and after ventilator sharing. Time-series plots were created in SAS v9.4 (SAS Institute) without imputing missing data.

Results

Six patients (three pairs) with ARDS from COVID-19 underwent ventilator sharing during 1 week in March 2020 (Table 2).
Table 2.

Characteristics of Patients Undergoing Ventilator Sharing

CharacteristicPatient 1APatient 1BPatient 2APatient 2BPatient 3APatient 3B
Age, yr627458734359
       
SexFemaleMaleFemaleFemaleMaleMale
Height, cm162.6182.9157.5175.0165.1190.5
       
Weight, kg68.098.9122.585.080.0105.9
       
Body mass index, kg/m225.729.649.427.829.329.2
       
Predicted body weight, kg54.877.850.166.161.684.7
       
Vasopressor-dependent shock before sharingYesYesYesYesYesYes
       
Modified SOFA score before sharing*101012131011
       
Days hospitalized before intubation1.03.11.11.01.06.1
       
Days intubated before ventilator sharing5.62.50.77.91.83.6
       
Respiratory parameters prior to matching      
 Ventilator modeVolume controlVolume controlVolume controlVolume controlVolume-targeted pressure controlVolume-targeted pressure control
 Vt, ml (ml/kg PBW)330 (6.0)480 (6.2)400 (8.0)490 (7.4)375 (6.1)370 (4.4)
 Driving pressure, cm H2O141624221920
 Peak inspiratory pressure, cm H2O312530343730
 Plateau pressure, cm H2O282434323130
 Respiratory rate, breaths/min261924252628
 PEEP, cm H2O14810101210
 FiO20.50.60.70.50.30.6
 Respiratory system compliance, ml/cm H2O (ml/kg PBW/cm H2O)24 (0.43)30 (0.39)17 (0.33)22 (0.34)20 (0.32)19 (0.22)
 Minute volume, L/min8.69.19.612.39.810.4
 PaO2/FiO214815276110180266
  
 
 
Duration of sharing, h48.25
47.5
47.0
       
Time from start of ventilator sharing to last follow-up, d365639334255
       
Status at last follow-upDischarged to SAR, nocturnal CPAP with no daytime supportDischarged to SAR, free from ventilator supportDischarged to SAR, free from ventilator supportDischarged to LTAC, nocturnal PSV with no daytime supportDischarged home, free from ventilator supportDischarged to SAR, free from ventilator support

Definition of abbreviations: CPAP = continuous positive airway pressure; LTAC = long-term acute care hospital; PBW = predicted body weight; PEEP = positive end-expiratory pressure; PSV = pressure support ventilation; SAR = subacute rehabilitation hospital; SOFA = sequential organ failure assessment.

The original SOFA does not consider phenylephrine or vasopressin in the cardiovascular subscore. Patients receiving either of these vasopressors were assigned a SOFA-cardiovascular subscore of 3 unless other vasopressors warranted a higher score.

Lowest value in 24 hours prior to ventilator sharing. All patients met diagnostic criteria for acute respiratory distress syndrome.

Characteristics of Patients Undergoing Ventilator Sharing Definition of abbreviations: CPAP = continuous positive airway pressure; LTAC = long-term acute care hospital; PBW = predicted body weight; PEEP = positive end-expiratory pressure; PSV = pressure support ventilation; SAR = subacute rehabilitation hospital; SOFA = sequential organ failure assessment. The original SOFA does not consider phenylephrine or vasopressin in the cardiovascular subscore. Patients receiving either of these vasopressors were assigned a SOFA-cardiovascular subscore of 3 unless other vasopressors warranted a higher score. Lowest value in 24 hours prior to ventilator sharing. All patients met diagnostic criteria for acute respiratory distress syndrome. Across patients, median Vt and pH were 5.7 ml/kg predicted body weight (interquartile range, 5.1–6.7) and 7.33 (interquartile range, 7.29–7.38) during ventilator sharing versus 6.0 ml/kg predicted body weight (interquartile range, 5.6–6.6) and 7.39 (interquartile range, 7.30–7.43) in the 48 hours before and after sharing (Figure 1 and Table E1 in the online supplement).
Figure 1.

Clinical course of patients during ventilator sharing and for 48 hours preceding and afterward. (A) First pair. Patients shared a repurposed anesthesia machine. Approximately 4.5 hours after initiating ventilator sharing, patient 1a became alkalemic (pH 7.46), whereas patient 1b remained acidemic (pH 7.28). To treat alkalemia, deadspace tubing was added to the circuit of patient 1a, but resulting pH was lower than intended; with removal of this deadspace tubing, acidemia promptly improved. The HMEF had to be changed frequently for both patient circuits as CO2 absorbent-related moisture buildup increased resistance, an effect most pronounced in patient 1a. (B) Second pair. Patients shared a full-feature ICU ventilator. Patient 2a’s course illustrated the importance of ensuring steady-state ventilator requirements and reconfirming compatibility on neuromuscular blockade before initiating sharing. Patient 2a was intubated for 16 hours prior to ventilator sharing. During compatibility assessment, ventilator settings were matched and well tolerated but compatibility not reconfirmed after starting neuromuscular blockade in patient 2a; the patient exhibited overt, dyssynchronous expiratory effort before paralysis, and eliminating respiratory muscle activity substantially increased Vt for a given driving pressure. Patient 2b was initiated on renal replacement therapy at Hour 28 for renal failure, which promptly increased pH. The patient’s renal failure and plan for renal replacement predated ventilator sharing. (C) Third pair. Patients shared a full-feature ICU ventilator. Vt and acid–base balance were well controlled during ventilator sharing, reflecting cumulative experience and protocol refinement with incorporation of lessons learned. Patient 3b experienced a transient decrease in Vt and pH and increase in PaCO around Hour 36 owing to HMEF oversaturation that promptly resolved with its exchange. HMEF = heat and moisture exchanging filter; NMB = neuromuscular blockade; PBW = predicted body weight; PEEP = positive end-expiratory pressure.

Clinical course of patients during ventilator sharing and for 48 hours preceding and afterward. (A) First pair. Patients shared a repurposed anesthesia machine. Approximately 4.5 hours after initiating ventilator sharing, patient 1a became alkalemic (pH 7.46), whereas patient 1b remained acidemic (pH 7.28). To treat alkalemia, deadspace tubing was added to the circuit of patient 1a, but resulting pH was lower than intended; with removal of this deadspace tubing, acidemia promptly improved. The HMEF had to be changed frequently for both patient circuits as CO2 absorbent-related moisture buildup increased resistance, an effect most pronounced in patient 1a. (B) Second pair. Patients shared a full-feature ICU ventilator. Patient 2a’s course illustrated the importance of ensuring steady-state ventilator requirements and reconfirming compatibility on neuromuscular blockade before initiating sharing. Patient 2a was intubated for 16 hours prior to ventilator sharing. During compatibility assessment, ventilator settings were matched and well tolerated but compatibility not reconfirmed after starting neuromuscular blockade in patient 2a; the patient exhibited overt, dyssynchronous expiratory effort before paralysis, and eliminating respiratory muscle activity substantially increased Vt for a given driving pressure. Patient 2b was initiated on renal replacement therapy at Hour 28 for renal failure, which promptly increased pH. The patient’s renal failure and plan for renal replacement predated ventilator sharing. (C) Third pair. Patients shared a full-feature ICU ventilator. Vt and acid–base balance were well controlled during ventilator sharing, reflecting cumulative experience and protocol refinement with incorporation of lessons learned. Patient 3b experienced a transient decrease in Vt and pH and increase in PaCO around Hour 36 owing to HMEF oversaturation that promptly resolved with its exchange. HMEF = heat and moisture exchanging filter; NMB = neuromuscular blockade; PBW = predicted body weight; PEEP = positive end-expiratory pressure. All patients tolerated the prescribed 2-day sharing period without adverse events and subsequently survived to hospital discharge. Video E1 presents circuit configuration and monitoring of two patients undergoing ventilator sharing. Lessons learned for each patient pair are as follows.

First pair

Patients shared an anesthesia machine using the pressure control mode of ventilation. Use of an anesthesia machine introduced several challenges. Several staff lacked experience with anesthesia machines. The CO2 absorbent exhausted rapidly with two febrile patients with ARDS and was changed multiple times daily. Water produced from the absorbent’s chemical reaction created excess circuit humidity that quickly saturated the heat and moisture exchanging filter, increasing circuit resistance and requiring the heat and moisture exchanging filter be changed every 8–12 hours. The patients’ combined minute volume (>20 L/min) exceeded the allowable range of alarm limits on the anesthesia machine. Audible alarms were notably subtler than on traditional ICU ventilators. Patient-specific respiratory monitors with alarms mitigated these issues. The anesthesia machine’s bulk and configuration necessitated circuit extension tubing, whose high compliance complicated ventilator titration.

Second pair

Patients shared a full-feature ICU ventilator using the pressure control mode of ventilation. Patient 2a was intubated 16 hours before initiating ventilator sharing and exhibited overt, dyssynchronous active expiratory effort during screening, causing overestimation of subsequent mechanical support needs. Compatibility reevaluation after initiating neuromuscular blockade would have prevented this issue.

Third pair

Patients shared a full-feature ICU ventilator using the pressure control mode of ventilation without issue. A screening tool created in the electronic health record displayed key respiratory parameters for all invasively ventilated patients, facilitating rapid identification of compatible pairs. With this experience, hospital leadership were confident ventilator sharing could be implemented at scale and adopted the protocol into the COVID-19 surge response plan.

Discussion

Prior ventilator splitting studies have included bench experiments with test lungs (4–6), animal models (7), and noninvasive ventilation in healthy volunteers (8). None have tested feasibility or safety in patients with lung injury. Our protocol was designed with several patient safety features: patient compatibility criteria, restriction to two patients per ventilator, patient-specific monitoring, use of the pressure control mode of ventilation to ensure mechanical changes in one patient do not harm the other, use of medical-grade supplies, instructions for transitioning on and off the shared ventilator, management of divergent patient courses, and maintenance of an unoccupied rescue ventilator within each cluster of ventilator-sharing patients. The greatest danger of ventilator sharing is wrongly equating the simplicity of its plumbing with ease of safe implementation. Patient selection and management require considerable expertise to ensure safety. Therefore, we recommend a regional referral model wherein ventilator sharing is restricted to expert centers, and patients and ventilators move throughout the region accordingly. Alternative circuit configurations might add patient-specific PEEP or flow control valves to individualize support, or one-way valves to prohibit gas sharing. However, introducing new hardware to externally modify ventilator support during peak surge in patient volume—with non-ICU staff reassigned to ICU patient care in improvised clinical spaces (9)—is a setup for catastrophic human error. Even without human error, valve failure could result in asphyxiation. The ideal engineering solution is not the best clinical solution in this context. Ventilator sharing does not obviate the need for more ventilators. Its greatest benefit may be when sufficient ventilators exist elsewhere and time is required to relocate ventilators or transfer patients. When resource and patient relocation are not options, ventilator sharing still may increase the number of patients supported and lives saved. However, it cannot double the number of supported patients. Some single-patient ventilators must be reserved for weaning and individualized support.

Limitations

Safety cannot be ascertained definitively from this small case series. Generalizability is untested, although our protocol’s step-by-step instructions strengthen safety and reproducibility. This protocol requires neuromuscular blockade to ensure passive ventilation, which appears safe for 48 hours (10) but holds unclear risk if prolonged. The weaning strategy proposed in the protocol is untested but could become necessary if ventilator sharing is prolonged. Identification of compatible patient pairs is essential to safe implementation of ventilator sharing and is likeliest in high-volume centers with many candidate patients.

Conclusions

This report demonstrates feasibility of ventilator sharing for COVID-19–associated ARDS. Following a rigorous clinical protocol, carefully selected patient pairs receiving continuous neuromuscular blockade tolerated ventilator sharing for 2 days without adverse events. In acute ventilator shortages, after exhausting alternatives, ventilator sharing is a reasonable stopgap to support potentially rescuable patients for at least 2 days in centers with appropriate expertise. This approach may be most useful when additional time is needed to relocate ventilators or patients to match supply with demand. The safety and utility of prolonged ventilator sharing, when ventilators or patients cannot be relocated, is unknown.
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1.  Use of a single ventilator to support 4 patients: laboratory evaluation of a limited concept.

Authors:  Richard D Branson; Thomas C Blakeman; Bryce Rh Robinson; Jay A Johannigman
Journal:  Respir Care       Date:  2011-10-12       Impact factor: 2.258

2.  Simultaneous ventilation of two healthy subjects with a single ventilator.

Authors:  R Smith; J M Brown
Journal:  Resuscitation       Date:  2009-07-02       Impact factor: 5.262

3.  Neuromuscular blockers in early acute respiratory distress syndrome.

Authors:  Laurent Papazian; Jean-Marie Forel; Arnaud Gacouin; Christine Penot-Ragon; Gilles Perrin; Anderson Loundou; Samir Jaber; Jean-Michel Arnal; Didier Perez; Jean-Marie Seghboyan; Jean-Michel Constantin; Pierre Courant; Jean-Yves Lefrant; Claude Guérin; Gwenaël Prat; Sophie Morange; Antoine Roch
Journal:  N Engl J Med       Date:  2010-09-16       Impact factor: 91.245

4.  Driving pressure and survival in the acute respiratory distress syndrome.

Authors:  Marcelo B P Amato; Maureen O Meade; Arthur S Slutsky; Laurent Brochard; Eduardo L V Costa; David A Schoenfeld; Thomas E Stewart; Matthias Briel; Daniel Talmor; Alain Mercat; Jean-Christophe M Richard; Carlos R R Carvalho; Roy G Brower
Journal:  N Engl J Med       Date:  2015-02-19       Impact factor: 91.245

5.  Increasing ventilator surge capacity in disasters: ventilation of four adult-human-sized sheep on a single ventilator with a modified circuit.

Authors:  Lorenzo Paladino; Mark Silverberg; Jean G Charchaflieh; Julie K Eason; Brian J Wright; Nicholas Palamidessi; Bonnie Arquilla; Richard Sinert; Seth Manoach
Journal:  Resuscitation       Date:  2007-12-31       Impact factor: 5.262

6.  One ventilator for two patients: feasibility and considerations of a last resort solution in case of equipment shortage.

Authors:  Tommaso Tonetti; Alberto Zanella; Giacinto Pizzilli; Charlene Irvin Babcock; Sergio Venturi; Stefano Nava; Antonio Pesenti; V Marco Ranieri
Journal:  Thorax       Date:  2020-04-23       Impact factor: 9.139

7.  A single ventilator for multiple simulated patients to meet disaster surge.

Authors:  Greg Neyman; Charlene Babcock Irvin
Journal:  Acad Emerg Med       Date:  2006-08-02       Impact factor: 3.451

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1.  Cloud Computing for COVID-19: Lessons Learned From Massively Parallel Models of Ventilator Splitting.

Authors:  Michael Kaplan; Charles Kneifel; Victor Orlikowski; James Dorff; Mike Newton; Andy Howard; Don Shinn; Muath Bishawi; Simbarashe Chidyagwai; Peter Balogh; Amanda Randles
Journal:  Comput Sci Eng       Date:  2020-09-21       Impact factor: 2.152

2.  Physician-scientists in the pandemic era: tidal wave or rising tide?

Authors:  Lorraine B Ware
Journal:  J Clin Invest       Date:  2021-09-15       Impact factor: 19.456

3.  Patient traits shape health-care stakeholders' choices on how to best allocate life-saving care.

Authors:  Charles Crabtree; John B Holbein; J Quin Monson
Journal:  Nat Hum Behav       Date:  2022-02-24

4.  Does Unprecedented ICU Capacity Strain, As Experienced During the COVID-19 Pandemic, Impact Patient Outcome?

Authors:  M Elizabeth Wilcox; Kathryn M Rowan; David A Harrison; James C Doidge
Journal:  Crit Care Med       Date:  2022-02-16       Impact factor: 9.296

5.  Computational simulation to assess patient safety of uncompensated COVID-19 two-patient ventilator sharing using the Pulse Physiology Engine.

Authors:  Jeffrey B Webb; Aaron Bray; Philip K Asare; Rachel B Clipp; Yatin B Mehta; Sudheer Penupolu; Aalpen A Patel; S Mark Poler
Journal:  PLoS One       Date:  2020-11-25       Impact factor: 3.240

Review 6.  The ethical dilemma of ventilator sharing during the COVID-19 pandemic.

Authors:  Harshil Bhatt; Sandeep Singh
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7.  The eSpiro Ventilator: An Open-Source Response to a Worldwide Pandemic.

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Journal:  J Clin Med       Date:  2021-05-27       Impact factor: 4.241

8.  Development of a multi-patient ventilator circuit with validation in an ARDS porcine model.

Authors:  Benjamin P Wankum; Riley E Reynolds; Andrea R McCain; Nathaniel T Zollinger; Keely L Buesing; Russel D Sindelar; Frank M Freihaut; Tariku Fekadu; Benjamin S Terry
Journal:  J Anesth       Date:  2021-06-01       Impact factor: 2.078

9.  In-Parallel Ventilator Sharing during an Acute Shortage: Too Much Risk for a Wider Uptake.

Authors:  J Geoffrey Chase; Yeong-Shiong Chiew; Bernard Lambermont; Philippe Morimont; Geoffrey M Shaw; Thomas Desaive
Journal:  Am J Respir Crit Care Med       Date:  2020-11-01       Impact factor: 21.405

10.  Characteristics, management and outcomes of critically ill COVID-19 patients admitted to ICU in hospitals in Bangladesh: a retrospective study.

Authors:  Ayan Saha; Mohammed Moinul Ahsan; Tarek-Ul Quader; Mohammad Umer Sharif Shohan; Sabekun Naher; Preya Dutta; Al-Shahriar Akash; H M Hamidullah Mehedi; Asm Arman Ullah Chowdhury; Hasanul Karim; Tazrina Rahman; Ayesha Parvin
Journal:  J Prev Med Hyg       Date:  2021-04-29
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