Case Series |
https://doi.org/10.5005/jp-journals-10071-23722 |
Systemic Oxygen Utilization in Severe COVID-19 Respiratory Failure: A Case Series
1,2,4Section of Critical Care Neurology, Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, United States
3Department of Internal Medicine, University Parma Medical Center, Cleveland, Ohio, USA
Corresponding Author: Rajeev K Garg, Section of Critical Care Neurology, Department of Neurological Sciences, Rush University Medical Center, Chicago, Illinois, United States, Phone: +1 (312)942-4500, e-mail: rajeev_k_garg@rush.edu
How to cite this article: Garg RK, Kimbrough T, Lodhi W, DaSilva I. Systemic Oxygen Utilization in Severe COVID-19 Respiratory Failure: A Case Series. Indian J Crit Care Med 2021;25(2):215–218.
Source of support: Nil
Conflict of interest: None
HIGHLIGHTS
- There are limited data on pulse oximetry oxygen saturation (SpO2) targets in patients with COVID-19 respiratory failure
- Hyperoxia is common in critically ill patients and associated with worse outcomes
- Markers of systemic oxygen (O2) utilization suggest that hyperoxia occurs in this disease
- Adjusting SpO2 targets to systemic O2 utilization may limit hyperoxia
- Limiting hyperoxia in COVID-19 respiratory failure may improve outcomes
ABSTRACT
Background: Management of hypoxemia in patients with severe COVID-19 respiratory failure is based on the guideline recommendations for specific SpO2 targets. However, limited data exist on systemic O2 utilization. The objective of this study was to examine systemic O2 utilization in a case series of patients with this disease.
Patients and methods: Between March 24, and April 9, 2020, 8 patients intubated for severe COVID-19 respiratory failure had near-simultaneous drawing of arterial blood gas (ABG), central venous blood gas (cVBG), and central venous oxygen saturation (ScvO2) at a mean of 6.1 days into hospitalization. Three patients were managed with indirect cardiac output (CO) monitoring by FloTrac sensor and Vigileo monitor (Edwards Lifesciences, Irvine, CA). The oxygen extraction index (OEI; SaO2-ScvO2/SaO2) and oxygen extraction fraction (OEF; CaO2-CvO2/CaO2 – 100) were calculated. Values for hyperoxia (ScvO2 ≥ 90%), normoxia (ScvO2 71–89%), and hypoxia (ScvO2 ≤ 70%) were based on the literature. Mean values were calculated.
Results: The mean partial pressure of oxygen (PaO2) was 102 with a mean fraction of inspired O2 (FiO2) of 44%. One patient was hyperoxic with a reduced OEI (17%). Five patients were normoxic, but 2 had a reduced OEF (mean 15.9%). Two patients were hypoxic but had increased systemic O2 utilization based on OEF or OEI.
Conclusion: In select patients with severe COVID-19 respiratory failure, O2 delivery (DO2) was found to exceed O2 utilization. SpO2 targets based on systemic O2 utilization may help in reducing oxygen toxicity, especially in the absence of anaerobic metabolism. Further data are needed on the prevalence of systemic O2 utilization in COVID-19.
Keywords: Acute respiratory distress syndrome, COVID-19, Hyperoxia, Hypoxia
INTRODUCTION
Progressive hypoxemia remains a prominent feature in patients infected with COVID-19. In severe COVID-19 acute respiratory distress syndrome (ARDS), there are limited data on optimal SpO2 targets.1 Liberal use of O2 therapy has been associated with increased mortality.2 In contrast, reduced O2 delivery (DO2) may lead to anaerobic metabolism and cell death. Since a major focus in the management of COVID-19 ARDS patients is the treatment of hypoxemia, optimal SpO2 targets may be best titrated towards systemic O2 utilization. However, there are minimal data on systemic O2 utilization in patients with severe COVID-19 respiratory failure.
Central venous O2 saturation (ScvO2) has been used as a surrogate marker for O2 consumption (VO2).3 ScvO2 measurements of hyperoxia (ScvO2 ≥ 90%) and hypoxia (ScvO2 ≤ 70%) have both been associated with increased mortality in patients with sepsis suggesting the importance of optimal O2 balance.4 In addition, derivation of the oxygen extraction index (OEI; SaO2-ScvO2/SaO2) and oxygen extraction fraction (OEF; CaO2-CvO2/CaO2 × 100) can provide additional data on systemic O2 utilization. Along with markers of anaerobic metabolism, ScvO2, OEI, and OEF can provide a more complete picture of O2 metabolism in critically ill patients. In this study, we examine systemic O2 utilization in a case series of patients with severe COVID-19 respiratory failure.
MATERIAL AND METHODS
This study was approved by the Rush University Medical Center (RUMC) institutional review board and ethics standards committee to perform this case series. Between March 24, and April 9, 2020, 8 patients with COVID-19 were managed in the intensive care unit (ICU) at RUMC. Sociodemographic, relevant past medical history, hemoglobin level, and ejection fraction (EF; %) on 2D echocardiography were collected for each patient. Patients were managed according to a set institutional protocol based on the guideline recommendations at that time.1 Target SpO2 was maintained at 92–96%. Mean arterial pressure was maintained greater than 65 mm Hg with norepinephrine as the first-line agent. Sedation was titrated to maintain adequate patient–ventilator synchrony with daily sedation holidays when possible. Neuromuscular blockade with cisatracurium was initiated in select patients who remained asynchronous with the ventilator despite adequate sedation. The amount of vasopressors and sedation was abstracted from each patient’s flow sheet at the time of blood gas measurements. The presence or absence of continuous neuromuscular blockade was also recorded.
During these patients’ hospitalization, ABGs were obtained for lactic acid, PaO2, partial pressure CO2 (PaCO2), and SaO2. Near-simultaneous cVBG was obtained to assess central venous partial pressure O2 (PcvO2), central venous partial pressure CO2 (PcvCO2), and ScvO2. Per the clinician’s discretion, 3 patients were placed on the FloTrac sensor and Vigileo monitor (Edwards Lifesciences, Irvine, CA) for indirect CO monitoring. This was the maximum device available in our ICU. CO data were used in the derivation of the OEF according to Fick equation. The distance from the tip of the internal jugular central venous line to the cavoatrial junction was measured based on the chest X-ray performed on the day closest to the blood gas drawings. All patients had their central venous catheter placed at or below 15 cm suggesting close approximation (~1%) between the ScvO2 and mixed venous O2 (SvO2).5 However, since pulmonary artery catheters were not utilized, SvO2 was calculated to be 5% less than ScvO2 based on the current guideline recommendations for septic shock.6 ScvO2 levels were categorized according to the outcome data as follows: hypoxia (≤70%), normoxia (71–89%), and hyperoxia (≥90%). The derived SvO2 was used in the calculation of the OEI and OEF. Markers of anaerobic metabolism were assessed in each patient by examining arterial lactate levels and venoarterial carbon dioxide (CO2) difference (PcvCO2-PaCO2).7 Mean levels were calculated for each variable.
RESULTS
Tables 1 highlights the sociodemographic data and clinical data collected based on the patient’s hospital day. The average age of the cohort was 55.3 years, 63% were men, and 50% were Hispanic. A majority of patients had a premorbid diagnosis of hypertension (75%) and diabetes (87.5%). All patients met the criteria for severe ARDS (PaO2/FiO2 < 100) on presentation and were intubated for hypoxemic respiratory failure. Mean hemoglobin was 10.6 mg/dL for the cohort. All patients had a normal EF on presentation. None of the patients were on more than one vasopressor for blood pressure maintenance. One patient (#5) was receiving continuous neuromuscular blockade with cisatracurium whereas the remainder were on sedative regimens (Tables 1) for patient–ventilator synchrony. The distance of the tip of the central lines from the cavoatrial junction is outlined in Tables 1. None of the patients were suspected of being treated for cytokine release syndrome at the time of measurement.
Patient # | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 |
---|---|---|---|---|---|---|---|---|
Days of MV | 8 | 6 | 1 | 14 | 2 | 4 | 8 | 4 |
Gender | M | M | M | M | M | F | M | F |
Race | White | Hispanic | Hispanic | Hispanic | Black | Black | Hispanic | Black |
Age (years) | 34 | 56 | 64 | 57 | 60 | 58 | 48 | 65 |
DM HTN Hemoglobin (g/dL) EF (%) |
No No 13.9 65 |
Yes Yes 11.5 N/A |
Yes No 13.4 55 |
Yes Yes 7.1 65–70 |
Yes Yes 7.1 60–65 |
Yes Yes 11.3 60–65 |
Yes Yes 8.4 70–75 |
Yes Yes 11.8 65–70 |
CO (L/min) | 4.0 | N/A | 6.5 | N/A | N/A | N/A | N/A | 4.5 |
CV distance (cm) Paralytics Sedation |
−3.7 cm No 4 mg/hr HME |
−3.8 cm No 5 mg/hr ME 4 mg/hr MDZ |
−5.1 cm No 175 μg/hr FEN 50 μg/kg/hr PRF |
0 cm No 0.6 μg/kg/hr DEX |
3.5 cm Yes 250 μg/hr FEN 5 mg/hr MDZ |
−2.8 cm No 4 mg/hr HME 6 mg/hr MDZ |
−5.2 cm No 4 mg/hr HME 4 mg/hr MDZ |
−1.2 cm No 3 mg/hr HME 15 μg/kg/hr PRF |
Norepinephrine (μg/min) | None | 2 | 22.5 | 2 | 10 | 5 | None | 3 |
Blood gas data for each patient are presented in Tables 2. The mean days of mechanical ventilation before the ABG and cVBG were obtained was 6.1 days. At the time of sampling, the mean FiO2 was 46%, SpO2 was 96%, and PaO2 was 102 mm Hg. The mean pH, pCO2, and serum bicarbonate were within the reference range. Parameters for systemic O2 utilization are presented in Tables 3. The mean ScvO2 was 76.8%. One patient (#6) was hyperoxic with a ScvO2 = 94.2% and OEI below the reference range (9.3%). Two patients (#1 and #7) were hypoxic but had an elevated OEI (33.2 and 35.8%, respectively). Patient #1 also had an OEF at the upper limits of normal. The remaining patients were normoxic, but 2 patients had a reduced OEF (mean 15.9%). Their corresponding OEI were also reduced. None of the patients had evidence of anaerobic metabolism based on the arterial lactate levels or venoarterial CO2 difference.
Patient # | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | Mean |
---|---|---|---|---|---|---|---|---|---|
pH HCO3− (mmol/L) FiO2 (%) SpO2 (%) PaO2 (mm Hg) PaCO2 (mm Hg) |
7.44 21 60 93 94 35 |
7.42 25 40 95 98 42 |
7.34 20 40 97 104 37 |
7.45 26 40 99 98 38 |
7.44 25 70 94 62 38 |
7.35 25 40 93 141 46 |
7.39 25 40 98 123 42 |
7.41 17 40 96 94 35 |
7.41 23 46 96 102 39 |
SaO2 (%) | 96.6 | 96.1 | 97.2 | 96.3 | 89.4 | 98.4 | 98.5 | 95.7 | 96.0 |
PcvO2 (mm Hg) | 41 | 46 | 55 | 48 | 43 | 108 | 40 | 50 | 53.9 |
PcvCO2 (mm Hg) | 41 | 47 | 40 | 46 | 42 | 46 | 48 | 38 | 43.5 |
Patient # | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | Mean |
---|---|---|---|---|---|---|---|---|---|
Systemic O2 utilization ScvO2 (%) Estimated SvO2 (%) OEI OEF |
69.5 64.5 33.2 28.5 |
75.3 70.3 26.8 N/A |
83.2 78.2 19.5 14.8 |
72.6 67.6 29.8 N/A |
71.3 66.3 25.8 N/A |
94.2 63.2 9.3 N/A |
68.2 63.2 35.8 N/A |
80.2 75.2 21.4 17 |
76.8 71.8 22.5 20.1 |
Anaerobic metabolism Arterial lactate (mmol/dL) Delta PCO2 |
1.9 6 |
1.0 5 |
1.4 3 |
1.1 4 |
0.8 4 |
1.4 0 |
1.1 0 |
NR NR |
1.2 1.1 |
DISCUSSION
Our results suggest that systemic O2 utilization is abnormal in patients with severe COVID-19 respiratory failure when assessed using ScvO2, OEI, and OEF. In one patient who was hyperoxic, the combination of elevated ScvO2 and reduced OEI suggests excessive DO2. In two patients who were hypoxic, the absence of anaerobic metabolism and elevated OEI suggests adequate DO2. Although theoretically one could target a lower ScvO2 to reduce DO2, this may place the patient at risk for a metabolic crisis. However, in 2 normoxic patients, the presence of reduced OEF also suggests a relatively excessive DO2, especially given the absence of anaerobic metabolism. These patients may potentially tolerate lower systemic DO2. These data suggest that select patients with severe COVID-19 respiratory failure are at risk for DO2 exceeding systemic O2 utilization. This may place these patients at risk for O2 toxicity and worse outcomes.
Current guidelines for oxygenation levels (SpO2 > 88% or PaO2 > 55) in patients with ARDS do not account for systemic O2 levels.8 In patients with COVID-19 respiratory failure, current guidelines recommend a SpO2 goal of 92–96%.1 Despite evidence that prolonged hyperoxia has been associated with an acute lung injury, excessive DO2 remains common in mechanically ventilated patients.9–11 In a recent meta-analysis, both time and duration of PaO2 elevation has been associated with increased mortality in critically ill patients regardless of the presenting disease.12 Therefore, matching DO2 to O2 utilization may be a significant factor in improving the outcomes in patients with a primary acute lung injury, such as that seen with COVID-19. Tolerance of lower SpO2 targets in COVID-19 patients based on systemic O2 utilization may allow for less-aggressive interventions to maintain SpO2. Furthermore, in patients with “happy hypoxemia,” tolerance of lower SpO2 goals based on systemic O2 utilization may be beneficial in reassessing intubation and preventing the secondary complications of mechanical ventilation.13
Outside the lungs, there is growing pathologic evidence of multiorgan involvement from severe acute respiratory syndrome coronavirus 2 (SARS-CoV2).14 While ongoing research suggests that SARS-CoV2 may affect host mitochondrial function, there are limited data on its final influence on cellular metabolism.15 Impairments in cellular function may lead to reduced VO2 without necessarily causing anaerobic metabolism, especially in a deeply sedated patient with reduced O2 demands. Similar pathophysiology has been described in other models of sepsis with inhibition of the mitochondrial respiratory chain complex.16 Therefore, by assessing the trends in VO2 indirectly through ScvO2, OEF, and OEI, we may be able to limit DO2 and potentially delay the toxic effects of excessive systemic O2.
Our results are preliminary with several limitations. Firstly, it involves a small cohort of heterogeneous patients from a single center. However, our data are only hypothesis generating and warrant further examination in a larger cohort of patients. Secondly, derivation of SvO2 from ScvO2 remains controversial and may have influenced our derivation of OEI and OEF.17 ScvO2 and SvO2 are useful measurements of tissue oxygen extraction per physiologic principles.17 While SvO2 is considered more accurate than ScvO2 given its anatomic location, the simplicity of measuring ScvO2 from a properly placed central line provides the greatest advantage in critically ill patients. Finally, we do not have longitudinal data on systemic O2 utilization to assess whether our results are consistent over time. The inability to perform repeated interval or continuous ScvO2 monitoring would have been ideal in strengthening our results.
CONCLUSION
While only hypothesis generating, our preliminary data suggest that hyperoxia occurs in a subset of patients with severe COVID-19 respiratory failure. Given the association of worse outcomes with hyperoxia, ScvO2, OEF, and OEI may be the useful parameters in optimizing DO2. Further prospective data are needed on optimal systemic O2 targets in patients with this deadly disease.
ORCID
Rajeev K Garg https://orcid.org/0000-0002-1949-8019
Tara Kimbrough https://orcid.org/0000-0002-6870-5598
Ivan DaSilva https://orcid.org/0000-0001-8572-9631
REFERENCES
1. Alhazzani W, Møller MH, Arabi YM, Loeb M, Gong MN, Fan E, et al. Surviving Sepsis Campaign: guidelines on the management of critically ill adults with Coronavirus Disease 2019 (COVID-19). Intensive Care Med 2020;46854–887. DOI: 10.1007/s00134-020-06022-5.
2. Chu DK, Kim LH, Young PJ, Zamiri N, Almenawer SA, Jaeschke R, et al. Mortality and morbidity in acutely ill adults treated with liberal versus conservative oxygen therapy (IOTA): a systematic review and meta-analysis. Lancet 2018;391(10131):1693–1705. DOI: 10.1016/S0140-6736(18)30479-3.
3. Reinhart K, Rudolph T, Bredle DL, Hannemann L, Cain SM. Comparison of central-venous to mixed-venous oxygen saturation during changes in oxygen supply/demand. Chest 1989;95(6):1216–1221. DOI: 10.1378/chest.95.6.1216.
4. Pope JV, Jones AE, Gaieski DF, Arnold RC, Trzeciak S, Shapiro NI. Multicenter study of central venous oxygen saturation (ScvO(2)) as a predictor of mortality in patients with sepsis. Ann Emerg Med 2010;55(1):40–46.e1. DOI: 10.1016/j.annemergmed.2009.08.014.
5. Kopterides P, Bonovas S, Mavrou I, Kostadima E, Zakynthinos E, Armaganidis A. Venous oxygen saturation and lactate gradient from superior vena cava to pulmonary artery in patients with septic shock. Shock 2009;31(6):562–568. DOI: 10.1097/SHK.0b013e31818bb8d8.
6. Rhodes A, Evans LE, Alhazzani W, Levy MM, Antonelli M, Ferrer R, et al. Surviving sepsis campaign: international guidelines for management of sepsis and septic shock: 2016. Crit Care Med 2017;45(3):486–552. DOI: 10.1097/CCM.0000000000002255.
7. Mekontso-Dessap A, Castelain V, Anguel N, Bahloul M, Schauvliege F, Richard C, et al. Combination of venoarterial PCO2 difference with arteriovenous O2 content difference to detect anaerobic metabolism in patients. Intensive Care Med 2002;28(3):272–277. DOI: 10.1007/s00134-002-1215-8.
8. Acute Respiratory Distress Syndrome Network, Brower RG, Matthay MA, Morris A, Schoenfeld D, Thompson BT, et al. Ventilation with lower tidal volumes as compared with traditional tidal volumes for acute lung injury and the acute respiratory distress syndrome. N Engl J Med 2000;342(18):1301–1308. DOI: 10.1056/NEJM200005043421801.
9. Helmerhorst HJ, Schultz MJ, van der Voort PH, Bosman RJ, Juffermans NP, de Jonge E, et al. Self-reported attitudes versus actual practice of oxygen therapy by ICU physicians and nurses. Ann Intensive Care 2014;4:23. DOI: 10.1186/s13613-014-0023-y.
10. Suzuki S, Eastwood GM, Peck L, Glassford NJ, Bellomo R. Current oxygen management in mechanically ventilated patients: a prospective observational cohort study. J Crit Care 2013;28(5):647–654. DOI: 10.1016/j.jcrc.2013.03.010.
11. Kallet RH, Matthay MA. Hyperoxic acute lung injury. Respir Care 2013;58(1):123–141. DOI: 10.4187/respcare.01963.
12. Helmerhorst HJ, Roos-Blom MJ, van Westerloo DJ, de Jonge E. Association between arterial hyperoxia and outcome in subsets of critical illness: a systematic review, meta-analysis, and metaregression of cohort studies. Crit Care Med 2015;43(7):1508–1519. DOI: 10.1097/CCM.0000000000000998.
13. Couzin-Frankel J. The mystery of the pandemic's ‘happy hypoxia’. Science 2020;368(6490):455–456. DOI: 10.1126/science.368.6490.455.
14. Bourgonje AR, Abdulle AE, Timens W, Hillebrands JL, Navis GJ, Gordijn SJ, et al. Angiotensin-converting enzyme 2 (ACE2), SARS-CoV-2 and the pathophysiology of coronavirus disease 2019 (COVID-19). J Pathol 2020;251(3):228–248. DOI: 10.1002/path.5471.
15. Singh KK, Chaubey G, Chen JY, Suravajhala P. Decoding SARS-CoV-2 hijacking of host mitochondria in COVID-19 pathogenesis. Am J Physiol Cell Physiol 2020;319(2):C258–C267. DOI: 10.1152/ajpcell.00224.2020.
16. Brealey D, Brand M, Hargreaves I, Heales S, Land J, Smolenski R, et al. Association between mitochondrial dysfunction and severity and outcome of septic shock. Lancet 2002;360(9328):219–223. DOI: 10.1016/S0140-6736(02)09459-X.
17. Walley KR. Use of central venous oxygen saturation to guide therapy. Am J Respir Crit Care Med 2011;184(5):514–520. DOI: 10.1164/rccm.201010-1584CI.
________________________
© The Author(s). 2021 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and non-commercial reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.