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. 2020 Nov 9;82(4):84–123. doi: 10.1016/j.jinf.2020.11.003

Comparing SARS-CoV-2 and influenza A(H1N1)pdm09-infected patients requiring ECMO – A single-centre, retrospective observational cohort experience

Matthew Charlton a,b,c, Susan Dashey a,b, Abigail Stubbs b, Florence YL Lai c, Paul W Bird d, Vinay Badhwar d, Julian W Tang d,e,
PMCID: PMC7649630  PMID: 33181199

We read with interest the recent report from Fiore and colleagues,1 describing their experience with ECMO on COVID-19 cases. Here we share our own ECMO—COVID-19 experience, and compare this with our previous experience of ECMO use in influenza patients.2

ECMO is a resource-intensive, highly specialised, and expensive form of life support with the potential for significant complications with unknown benefits, in the management of COVID-19. Thus its clinical utility during the current pandemic has been uncertain.3 An early retrospective case series from China described the role of ECMO in COVID-19 as ‘unpromising’, with nearly half of patients treated with ECMO dying from septic shock and multiple organ failure.4

To investigate this further, we describe the clinical characteristics and outcomes of 34 patients presenting with severe COVID-19 pneumonitis who received respiratory ECMO support during the COVID-19 pandemic to one of the commissioned UK respiratory ECMO centres. Single-centre, retrospective data collection was performed for all patients receiving respiratory ECMO support for severe respiratory failure secondary to SARS-CoV-2 infection during the peak of the UK pandemic (1st April to 31st May 2020). Various ECMO-related and laboratory parameters were extracted and statistically compared between patients who died (n = 18) and those who survived (n = 16) using the t-test or Mann-Whitney test for continuous variables and the Fisher-exact test for categorical variables. Correlation between duration on ECMO and laboratory parameters was assessed using Spearman's rank correlation coefficient.

A total of 268 patients were referred for consideration of respiratory ECMO support in Leicester (patient eligible criteria are shown in Fig. S1). Of the 268 referrals, 38 were retrieved for consideration of ECMO. Thirty-four went on to receive ECMO support, with 4 patients managed with advanced conventional ventilatory support as part of the Severe Acute Respiratory Failure (SARF) pathway (Table S1).

The mean age of the 34 patients receiving ECMO support was 46 years (range: 28–58). The majority were male (27/34, 79%), with a mean body mass index (BMI) of 31.9 (range: 22.4–45), and most patients (88%) had at least one comorbidity (hypertension, diabetes or obesity).

The most frequently occurring COVID-19 symptoms in this patient group included fever (26/34, 76%), cough (25/34, 74%) and myalgia (10/34, 29%). Anosmia was a relatively uncommon finding, being recognised in only 2 patients (6%). Black and Minority Ethnic (BAME) groups accounted for 59% (20/34) of patients, with 38% (13/34) of the cohort being healthcare workers. Co-morbid conditions were present in the majority of patients (30/34, 88%), with the most common being: obesity (23/34, 68%), hypertension (8/34, 24%) and diabetes (4/34, 12%).

The majority of patients had a dual-lumen cannula configuration of the right internal jugular vein (28/34, 82%), as is routine practice for our unit. Renal replacement therapy was initiated in 26% (9/34) of patients. The mean duration of ventilation prior to initiation of ECMO was 4.9 days (range: 2–8), and the mean duration of ECMO support was 13.2 days (range: 4–26). The survival to discharge in this cohort of patients was 53% (18/34).

Table 1 compares COVID-19 patients who survived (18/34, 52.9%) versus those who died (16/34, 47.1%), with both groups being evenly matched with respect to demographic data and medical history. White cell count (p = 0.027) and neutrophil count (p = 0.035) were both significantly lower in those patients who died (10.5 vs. 14.1 and 9.1 vs. 12.3, respectively). The duration of ECMO was also significant, 11.1 days (survivors) versus 15.6 days (deaths). The slight differences in Na/K concentrations between the two groups, though just statistically significant (p<0.05), were of little clinical significance.

Table 1.

Demographic and clinical characteristics of the COVID-19 patients on ECMO.

Survivor Died p-value
Demographics (n = 18) (n = 16)
Age (years) 45.6 (6.7) 47.0 (8.4) 0.596
Sex - M 15 (83%) 12 (75%) 0.682
Ethnicity
Asian 8 (44%) 8 (50%) 0.893
Black 2 (11%) 2 (13%)
White 8 (44%) 6 (38%)
HCW 6 (33%) 7 (44%) 0.725
Medical history
Any comorbidity 17 (94%) 13 (81%) 0.323
Hypertension 6 (33%) 2 (13%) 0.233
Diabetes 3 (17%) 1 (6%) 0.604
Obese 15 (83%) 8 (50%) 0.066
Haematology and biochemistry parameters
White cell count (109/L) 14.1 (5.7) 10.5 (2.9) 0.027
Neutrophils (109/L) 12.3 (5.4) 9.1 (2.9) 0.035
Lymphocytes (109/L) 1.1 (0.4) 0.9 (0.5) 0.220
C-reactive protein (mg/L) 195.4 (113.0) 260.6 (95.5) 0.080
Haemoglobin (g/L) 105.3 (11.2) 103.4 (11.8) 0.623
LDH (IU/L) 656.4 (277.2) 603.5 (243.7) 0.684
ALT (IU/L) 51 (35 - 73) 47.5 (34 - 79) 0.931
GGT (IU/L) 154.5 (78.5 - 251) 104 (73 - 156) 0.097
AST (IU/L) 74 (59.5 - 85) 69 (65 - 94) 0.728
Total bilirubin (µmol/L) 13 (8 - 31) 10.5 (7 - 17.5) 0.284
Urea (mmol/L) 9.4 (6.7 - 13) 10.3 (7.4 - 15) 0.504
Na (mmol/L) 143.0 (4.6) 146.2 (4.2) 0.043
K (mmol/L) 5.3 (0.7) 4.8 (0.5) 0.045
Creatinine (µmol/L) 74.5 (52 - 190) 68 (45.5 - 124) 0.704
Troponin (ng/L) 15 (4 - 41) 29 (17 - 83) 0.142
BNP (pg/mL) 384 (253 - 566) 532 (341 - 1127) 0.365
D-dimers (ng/mL) 7.9 (3.3 - 9.6) 6.2 (3.5 - 18) 0.772
ECMO parameters
PaO2:FiO2 ratio 9.0 (7.3 - 10) 8.3 (7 - 9.8) 0.398
PEEP (cm H20) 12.8 (3.5) 13.8 (3.2) 0.373
Tidal volume (mL) 476.5 (78.3) 476.1 (154.6) 0.992
Respiratory rate (RR, bpm) 20.4 (4.3) 19.3 (5.3) 0.498
Peak RR (bpm) 32.9 (3.7) 32.3 (3.6) 0.612
pH 7.3 (0.1) 7.3 (0.1) 0.823
PaO2 (kPa) 7.9 (1.2) 8.0 (1.2) 0.689
PaCO2 (kPa) 7.7 (1.9) 9.6 (4.3) 0.112
Base excess (mmol/L) 2.4 (4.5) 3.0 (2.9) 0.702
Lactate (mmol/L) 1.5 (0.6) 1.5 (0.5) 0.911
Bicarbonate (HCO3, mmol/L) 27.2 (4.8) 28.7 (4.3) 0.409
MAP (mm Hg) 79.6 (12.1) 77.3 (10.7) 0.553
Days ventilated pre-ECMO 5.2 (1.8) 4.6 (1.7) 0.278
Days on ECMO 11.1 (4.9) 15.6 (5.6) 0.017

LDH - lactate dehydrogenase; ALT – alanine aminotransferase; GGT – gamma glutamyl transferase; AST – aspartate aminotransferase; BNP - brain natriuretic peptide; PEEP – positive end expiratory pressure; H2O – water; bpm - breaths per minute; PaO2/PaCO2 – partial pressure of arterial oxygen/carbon dioxide; MAP – mean arterial pressure; ECMO – extra-corporeal membrane oxygenation.

When comparing this COVID-19 cohort to a previous cohort presenting for ECMO support with influenza A(H1N1)pdm09 during the 2018–2019 season (Table 2 ), a number of significant differences were noted. Most significantly, severe influenza requiring ECMO support occurred more frequently in ethnically white (Caucasian) compared to the COVID-19 patients (p 0.001). White cell count also appears significantly lower in the influenza cohort (5.8 vs. 12.4, p 0.001). A significant proportion of the patients in the influenza group required renal replacement therapy (24/26, 92%), which was not seen in the COVID-19 patients. The number of days ventilated prior to initiation of ECMO was also significantly shorter in the influenza group (2.4 vs. 4.9, p 0.001). More deaths were recognised in the COVID-19 group (47% vs. 31%), although this did not reach statistical significance.

Table 2.

Comparison of demographic and clinical characteristics of COVID-19 (2020) and influenza (2018–2019) patients on ECMO.

COVID-19 A(H1N1)pdm09 p-value
(n = 34) (n = 26)
Demographics
Age (yrs) 46.3 (7.5) 43.1 (8.7) 0.133
Sex - male 27 (79%) 18 (69%) 0.386
Ethnic White 14 (41%) 24 (92%) <0.001
Body-mass index (BMI) 31.9 (6.0) 30.6 (7.8) 0.475
Medical history
Comorbidity 30 (88%) 18 (69%) 0.104
Hypertension 8 (24%) 5 (19%) 0.760
Diabetes 4 (12%) 2 (8%) 0.689
Obese 23 (68%) 12 (46%) 0.118
Haematology and biochemistry parameters
White cell count (109/L) 12.4 (4.9) 5.8 (4.6) <0.001
C-reactive protein (mg/L) 226.1 (108.7) 259.4 (140.3) 0.323
Haemoglobin (g/L) 104.4 (11.3) 129.7 (23.0) <0.001
ALT (IU/L) 47.5 (35 - 78) 57 (31 - 78) 0.883
Total bilirubin (µmol/L) 11.5 (8 - 22) 18 (9 - 30) 0.702
Urea (mmol/L) 10.2 (7.1 - 13) 9.05 (4.9 - 15.1) 0.405
ECMO parameters
Creatinine (µmol/L) 70.5 (51 - 149) 100 (71 - 181) 0.070
PaO2:FiO2 ratio 8.6 (7.3 - 9.9) 8.3 (7.2 - 10.1) 0.994
PEEP (cm H20) 13.3 (3.3) 12.8 (3.3) 0.657
Tidal volume (mL) 476.3 (118.4) 495.0 (108.6) 0.548
Respiratory rate (RR, bpm) 19.9 (4.8) 20.0 (6.9) 0.954
Peak RR (bpm) 32.6 (3.6) 30.3 (5.2) 0.058
pH 7.3 (0.1) 7.3 (0.2) 0.337
PaO2 (kPa) 7.9 (1.2) 8.1 (1.8) 0.722
PaCO2 (kPa) 8.6 (3.3) 7.8 (3.0) 0.361
Base excess (mmol/L) 2.7 (3.8) −0.8 (6.6) 0.023
Lactate (mmol/L) 1.5 (0.6) 2.2 (1.4) 0.023
Bicarbonate (HCO3, mmol/L) 27.8 (4.6) 23.7 (5.4) 0.004
MAP (mm Hg) 78.5 (11.4) 72.4 (11.8) 0.048
Days ventilated pre-ECMO 4.9 (1.7) 2.4 (2.5) <0.001
Outcomes
Days on ECMO 13.2 (5.6) 12.3 (8.0) 0.601
RRT 9 (26%) 24 (92%) <0.001
Death 16 (47%) 8 (31%) 0.288

ALT – alanine aminotransferase; PEEP – positive end expiratory pressure; H2O – water; bpm - breaths per minute; PaO2/PaCO2 – partial pressure of arterial oxygen/carbon dioxide; MAP – mean arterial pressure; ECMO – extra-corporeal membrane oxygenation; RRT – renal replacement therapy.

In this single-site, retrospective observational cohort study, we present the data from 34 patients admitted to one of the six UK severe respiratory failure centres who received ECMO support for COVID-19 pneumonitis. Earlier speculation by some teams about the potential application of ECMO suggested that it may be useful in severe cases of COVID-19, though this would depend very much on case selection. This speculation has since been borne out by more recent reports on single5 , 6, small7 and larger8 , 9 case series of patients with severe COVID-19, where the authors have been cautious about the potential benefits of ECMO in such patients, emphasising the limited capacity for this complex treatment.

A recent ECMO consensus document10 states this succinctly as: “ECMO is a highly technical therapy and is resource intensive. Although the distribution of this therapy should be as equitable as possible, during a pandemic such as COVID-19, distribution should focus on optimal candidates for recovery.”

In our case series presented here, it is difficult to conclude exactly how much the ECMO therapy contributed to the survival of these severely ill COVID-19 patients versus if they only had standard intensive care unit (ICU) support, as it was not possible for each patient to act as his/her own control in this comparison. However, as per our previous experience reported on seasonal influenza patients requiring ECMO2 it is likely that ECMO was more beneficial than not in this highly selected patient cohort.

Footnotes

Supplementary material associated with this article can be found, in the online version, at doi:10.1016/j.jinf.2020.11.003.

Appendix. Supplementary materials

mmc1.docx (238.1KB, docx)
mmc2.docx (18.9KB, docx)

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Associated Data

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Supplementary Materials

mmc1.docx (238.1KB, docx)
mmc2.docx (18.9KB, docx)

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