Literature DB >> 35295956

Use of neurally adjusted ventilatory assist (NAVA) in a patient with severe SARS-CoV-2 pneumonia: A case report.

Jeffrey M Haynes1.   

Abstract

Introduction: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia may necessitate intubation and prolonged mechanical ventilation. Early in the course of mechanical ventilation neuromuscular blocking agents may be used to allow synchronous lung protective ventilation. However, patients with SARS-CoV-2 pneumonia tend to have an intense respiratory drive resulting in patient-ventilator asynchrony when neuromuscular blocking agents are discontinued. Case and Outcomes: A 75-year-old male was admitted to the hospital with SARS-CoV-2 pneumonia requiring invasive mechanical ventilation. By ventilator day 5 the neuromuscular blocking agent had been discontinued, and the patient was markedly asynchronous in the volume control mode despite receiving continuous intravenous sedatives. The ventilator mode was changed to the neurally adjusted ventilatory assist (NAVA) mode. Initially NAVA resulted in improved synchrony and reduced work of breathing. However, a few days later the patient's tidal volume had fallen to <300 mL on NAVA despite increases in the NAVA level. It appeared that the inspiratory phase was prematurely terminating, and the expiratory threshold in NAVA is not adjustable. The ventilator mode was changed to pressure support resulting in an increased tidal volume and reduced respiratory frequency.
Conclusion: In patients with SARS-CoV-2 pneumonia and intense respiratory drive, the performance of NAVA may be variable. NAVA may result in hypopnea and tachypnea when compared with pressure support. An assessment of the impact of an adjustable expiratory threshold in NAVA is warranted.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; case report; mechanical ventilation; neutrally adjusted ventilatory assist; respiratory failure

Year:  2021        PMID: 35295956      PMCID: PMC8919672          DOI: 10.29390/cjrt-2021-017

Source DB:  PubMed          Journal:  Can J Respir Ther        ISSN: 1205-9838


INTRODUCTION

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia may necessitate intubation and prolonged mechanical ventilation. Early in the course of mechanical ventilation neuromuscular blocking agents may be used to allow synchronous lung protective ventilation. However, patients with SARS-CoV-2 pneumonia tend to have an intense respiratory drive resulting in patient–ventilator asynchrony when neuromuscular blocking agents are discontinued. This case describes the use of the neurally adjusted ventilatory assist (NAVA) mode to manage a patient with SARS-CoV-2 pneumonia and marked patient-ventilator asynchrony.

Case description

This work did not require review committee approval because a single case report or case series does not constitute human subjects research requiring review and approval. A 75-year-old male resident of a long-term care facility was admitted to the hospital after a 2-week history of fever, chills, and congested cough. The patient had chronic obstructive pulmonary disease and emphysema chronically requiring supplemental O2 at 2 L/min via nasal cannula. A chest radiograph revealed bilateral infiltrates and a nasopharyngeal swab culture tested positive for SARS-CoV-2. The patient was intubated on hospital day 2 due to increasing dyspnea and O2 requirements. The ventilator settings immediately after intubation were as follows: volume control mode, set rate 18 b/min, tidal volume (VT) 450 mL (6 mL/kg), positive end-expiratory pressure (PEEP) 5 cm H2O, and FIO2 100% (Servo-i, Getinge, Maquet Critical Care AB, Solna Sweden). Blood gas data on these settings were: pH 7.35, PaCO2 39 mm Hg, PaO2 200 mm Hg, and O2Hb 98%. The PaO2/FIO2 ratio was 200 compatible with mild to moderate acute respiratory distress syndrome (ARDS) according to the Berlin definition [1]. The initial static respiratory compliance was 61 mL/cm H2O compatible with the proposed “L” phenotype of SARS-CoV-2 pneumonia [2]; however, the patient’s emphysema presumably contributed to a finding of “normal” compliance. By ventilator day 5, chemical neuromuscular blockade had been discontinued. The patient’s level of sedation was —3 on the Richmond Agitation and Sedation Scale while receiving continuous intravenous infusions of fentanyl and propofol. Despite sedation the patient remained in respiratory distress on volume control ventilation. Flow delivery had been changed to the square waveform with “flow support”, which allows the patient to receive additional flow if the airway pressure falls 3 cm H2O during the inspiratory phase of ventilation. An oral-gastric tube with embedded electromyogram electrodes (Edi catheter, Getinge, Maquet Critical Care AB, Solna Sweden) was inserted to monitor diaphragmatic activity and assess patient–ventilator synchrony. Proper positioning of the Edi catheter was confirmed using the Edi catheter positioning function. Despite the use of square waveform gas delivery with flow support, Figure 1 shows marked asynchrony with inspiratory pressure falling below PEEP during VT delivery and pressure spikes at the termination of the inspiratory phase. The mean airway pressure was identical to the PEEP level, which would be expected during unassisted ventilation with continuous positive airway pressure. The negative deflections in airway pressure due to volume starvation may be injurious due to a Pendelluft effect [3, 4]. The electrical activity of the diaphragm (EAdi) was 25–30 µV, suggesting elevated respiratory drive and work of breathing [5]. In Figure 1 the EAdi waveform is superimposed over the pressure waveform as a preview of what the pressure waveform might be when changed to the NAVA mode. However, this overlay can be misleading because a NAVA breath terminates at 70% of the EAdi peak, where the preview graphic overlays the entire EAdi cycle over the airway pressure graphic. The ventilator mode was changed to NAVA at 1 cm H2O per EAdi µV. Figure 2 shows the ventilator graphics after the change to the NAVA mode. In NAVA the inspiratory airway pressure rose above PEEP, the VT increased to ≈600 mL (8 mL/kg), with an increase in minute ventilation and decrease in EAdi. A few days later the patient’s VT had fallen to <300 mL on NAVA despite increases in the NAVA level. It appeared that the inspiratory phase was prematurely terminating, and the expiratory threshold in NAVA (70% of EAdi peak) is not adjustable. The ventilator mode was changed to pressure support with an expiratory flow sensitivity of 30%. The change to pressure support increased the VT and reduced respiratory frequency.
FIGURE 1

Ventilator graphics from a patient with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia receiving volume control ventilation. Airway pressures (yellow tracing) falling below PEEP during the inspiratory cycle. The electrical activity of the diaphragm (EAdi; white tracing) shown in the bottom graphic and is superimposed over the airway pressure tracing.

FIGURE 2

Ventilator graphics after the ventilator mode was changed to the neurally adjusted ventilatory assist (NAVA) mode.

Ventilator graphics from a patient with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pneumonia receiving volume control ventilation. Airway pressures (yellow tracing) falling below PEEP during the inspiratory cycle. The electrical activity of the diaphragm (EAdi; white tracing) shown in the bottom graphic and is superimposed over the airway pressure tracing. Ventilator graphics after the ventilator mode was changed to the neurally adjusted ventilatory assist (NAVA) mode.

DISCUSSION

Patients with SARS-CoV-2 pneumonia tend to have an intense respiratory drive [2, 6], which may be due to known mechanisms [7] and perhaps amplified by other mechanisms such as neurotropism with the SARS-CoV-2 virus [8]. It has been our experience that most of these patients do poorly in volume control ventilation or dual control modes (e.g., pressure regulated volume control) without neuromuscular blockade because of this intense respiratory drive. Prolonged neuromuscular blockade is not associated with improved outcomes in ARDS [9] and patient–ventilator asynchrony is associated with numerous adverse effects [10]. An alternative strategy is to use partial ventilatory modes or pressure control ventilation. The trade-off of using partial ventilatory support modes to achieve better patient–ventilator synchrony is the risk of volutrauma and self-inflicted lung injury due to loss of VT control. This may be particularly worrisome in NAVA because the inspiratory pressure and volumes are based on the NAVA setting and EAdi peak value (cm H2O per EAdi µV). So if the NAVA setting is 1 cm H2O per EAdi µV, and the patient has an EAdi of 50 µV (e.g., reduced sedation or stimulation) a breath with an inspiratory pressure of 50 cm H2O will be delivered. For this reason, it is important to maintain a tight high-pressure alarm setting and consider using conservative settings (i.e., low cm H2O per EAdi µV) when using NAVA in these types of patients. This risk may be associated with other modes like proportional assist ventilation that augments airway pressure based on patient effort. It is typically very easy to keep airway pressures “safe” (i.e., peak inspiratory pressure < 30 cm H2O) when using other partial ventilatory support modes; however, clinicians may have a false sense of security since the transpulmonary pressures might be indeed injurious even if the measured airway pressures are considered low [4]. In addition, as this case shows, even NAVA, a mode designed to minimize asynchrony, needed to be changed to pressure support to deliver more effective ventilation in a patient with SARS-CoV-2 pneumonia. We have experienced this phenomenon in other SARS-CoV-2 patients being ventilated in the NAVA mode. In some cases increasing sedation improved problems with hypopnea associated with short inspiratory times in NAVA; however, in some of these cases the increase in sedation led to reduced respiratory rate and minute ventilation. In these situations we have found pressure support and pressure control modes to be good alternatives to NAVA. An assessment of the impact of an adjustable expiratory threshold in NAVA is warranted. In a study of non-CoV-2 infected ARDS patients, Diniz-Silva et al. [11] found no difference in respiratory rate and VT in patients being ventilated in NAVA or pressure support. This report suggests that NAVA and pressure support may perform differently in patients with SARS-CoV-2 pneumonia. Clinicians caring for mechanically ventilated patients with SARS-CoV-2 pneumonia will need to carefully balance patient–ventilator synchrony and the risk of volutrauma when selecting ventilator settings. Titrating sedation to respiratory effort instead of focusing on consciousness alone may improve synchrony. Objective measures of respiratory drive including EAdi and airway occlusion pressure (P 0.1) may be helpful when titrating sedation [7]. Clinicians should also be prepared to change approaches according to the patient’s response to support and evolving pathophysiology.

CONCLUSION

In patients with SARS-CoV-2 pneumonia and intense respiratory drive, the performance of NAVA may be variable. NAVA may result in hypopnea and tachypnea when compared with pressure support. An assessment of the impact of an adjustable expiratory threshold in NAVA is warranted.
  11 in total

1.  Early Neuromuscular Blockade in the Acute Respiratory Distress Syndrome.

Authors:  Marc Moss; David T Huang; Roy G Brower; Niall D Ferguson; Adit A Ginde; M N Gong; Colin K Grissom; Stephanie Gundel; Douglas Hayden; R Duncan Hite; Peter C Hou; Catherine L Hough; Theodore J Iwashyna; Akram Khan; Kathleen D Liu; Daniel Talmor; B Taylor Thompson; Christine A Ulysse; Donald M Yealy; Derek C Angus
Journal:  N Engl J Med       Date:  2019-05-19       Impact factor: 91.245

2.  Effects of Ventilatory Settings on Pendelluft Phenomenon During Mechanical Ventilation.

Authors:  Yusuke Enokidani; Akinori Uchiyama; Takeshi Yoshida; Ryuichiro Abe; Tomonori Yamashita; Yukiko Koyama; Yuji Fujino
Journal:  Respir Care       Date:  2020-09-08       Impact factor: 2.258

3.  How often does patient-ventilator asynchrony occur and what are the consequences?

Authors:  Scott K Epstein
Journal:  Respir Care       Date:  2011-01       Impact factor: 2.258

4.  Management of COVID-19 Respiratory Distress.

Authors:  John J Marini; Luciano Gattinoni
Journal:  JAMA       Date:  2020-06-09       Impact factor: 56.272

5.  Respiratory Drive in Critically Ill Patients. Pathophysiology and Clinical Implications.

Authors:  Katerina Vaporidi; Evangelia Akoumianaki; Irene Telias; Ewan C Goligher; Laurent Brochard; Dimitris Georgopoulos
Journal:  Am J Respir Crit Care Med       Date:  2020-01-01       Impact factor: 21.405

6.  Acute respiratory distress syndrome: the Berlin Definition.

Authors:  V Marco Ranieri; Gordon D Rubenfeld; B Taylor Thompson; Niall D Ferguson; Ellen Caldwell; Eddy Fan; Luigi Camporota; Arthur S Slutsky
Journal:  JAMA       Date:  2012-06-20       Impact factor: 56.272

Review 7.  The role of spontaneous effort during mechanical ventilation: normal lung versus injured lung.

Authors:  Takeshi Yoshida; Akinori Uchiyama; Yuji Fujino
Journal:  J Intensive Care       Date:  2015-06-17

8.  Neurological manifestations of COVID-19 and other coronavirus infections: A systematic review.

Authors:  V Montalvan; J Lee; T Bueso; J De Toledo; K Rivas
Journal:  Clin Neurol Neurosurg       Date:  2020-05-15       Impact factor: 1.876

9.  Air Hunger and Psychological Trauma in Ventilated Patients with COVID-19. An Urgent Problem.

Authors:  Christopher M Worsham; Robert B Banzett; Richard M Schwartzstein
Journal:  Ann Am Thorac Soc       Date:  2020-08

10.  Neurally adjusted ventilatory assist vs. pressure support to deliver protective mechanical ventilation in patients with acute respiratory distress syndrome: a randomized crossover trial.

Authors:  Fabia Diniz-Silva; Henrique T Moriya; Adriano M Alencar; Marcelo B P Amato; Carlos R R Carvalho; Juliana C Ferreira
Journal:  Ann Intensive Care       Date:  2020-02-10       Impact factor: 6.925

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