The number of patients treated with extracorporeal membrane oxygenation (ECMO) is rising. The Extracorporeal Life Support Organization (ELSO) Registry records a more than four-fold increase in ECMO cases between 2008 and 2018.
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Over this period, the number of centres registered with ELSO as providing ECMO increased from 150 to 435. Concerns have been raised regarding variability in outcome between centres. High volume ECMO centres seem to have lower mortality than low volume centres,
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but this finding is not universal.
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The minimal acceptable case volume for an ECMO service is controversial. Recommendations vary from six to 30 cases per annum.
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Extracorporeal Life Support Organization (ELSO). ECLS Registry report, international summary; 2020. https://www.elso.org/Registry/Statistics/InternationalSummary.aspx (viewed Oct 2020).
Safer Care Victoria. Adult extracorporeal membrane oxygenation (ECMO) in Victoria. Centralisation and retrieval model evidence review. Melbourne: Department of Health and Human Services, Victorian Government; 2019. https://www.bettersafercare.vic.gov.au/sites/default/files/2019-05/ECMO%20in%20Victoria_FINAL.pdf (viewed Oct 2020).
Barbaro RP, Odetola FO, Kidwell KM, et al. Association of hospital-level volume of extracorporeal membrane oxygenation cases and mortality. Analysis of the extracorporeal life support organization registry. Am J Respir Crit Care Med 2015; 191: 894-901.
Bailey KL, Downey P, Sanaiha Y, et al., National trends in volume–outcome relationships for extracorporeal membrane oxygenation. J Surg Res 2018; 231: 421-7.
McCarthy FH, McDermott K, Spragan D, et al. Unconventional volume–outcome associations in adult extracorporeal membrane oxygenation in the United States. Ann Thorac Surg 2016; 102: 489-95.
Extracorporeal Life Support Organization (ELSO). ELSO guidelines for ECMO centres; version 1.8; March 2014. https://www.elso.org/Portals/0/IGD/Archive/FileManager/faf3f6a3c7cusersshyerdocumentselsoguidelinesecmocentersv1.8.pdf (viewed Oct 2020).
Abrams D, Garan AR, Abdelbary A, et al. Position paper for the organization of ECMO programs for cardiac failure in adults. Intensive Care Med 2018; 44: 717-29.
Combes A, Brodie D, Bartlett R, et al. Position paper for the organization of extracorporeal membrane oxygenation programs for acute respiratory failure in adult patients. Am J Respir Crit Care Med 2014; 190: 488-96.
Princess Alexandra Hospital (PAH) and Gold Coast University Hospital (GCUH) are tertiary hospitals in Queensland, Australia. The intensive care unit (ICU) casemix in both hospitals encompasses adult critical care, including major trauma, cardiac surgery and neurosurgery, but not cardiac or lung transplantation. These two hospitals and Prince Charles Hospital (Queensland’s lung and heart transplantation centre) participate equally in providing the Queensland adult ECMO retrieval service. The on-call hospital retrieves the ECMO patient to their ICU, unless it is clear a ventricular assist device or transplantation is required. The PAH ECMO service commenced in 2009 in response to the H1N1 influenza pandemic, while the GCUH ECMO service and cardiothoracic surgery program started in 2015.
GCUH and PAH have a high caseload of cardiac and respiratory failure. Evidence-based therapies such as prone positioning
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and lung protective ventilation
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are integrated into practice. ECMO is only used for significantly deranged physiology not responding to maximal conventional therapy. Both are low volume ECMO centres with less than 20 cases per year, although case volume is rising (Figure 1). Given concerns that low volume ECMO units may have poor outcomes, a retrospective observational study was performed.
Guérin C, Reignier J, Richard JC, et al. Prone positioning in severe acute respiratory distress syndrome. N Engl J Med 2013; 368: 2159-68.
Brower RG, Matthay MA, Morris A, et al; Acute Respiratory Distress Syndrome Network. 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: 1301-8.
Methods
The Human Research Ethics Committee of Metro South Hospital and Health Service granted approval for the study. All patients treated with ECMO at PAH and GCUH, discharged from acute care before 1 January 2020 were identified. Data were collected from individual medical records.
Data collected included baseline information from before ECMO was started, enabling individual risk of death (ROD) predictions with the Survival after Veno-arterial ECMO (SAVE)
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and Respiratory ECMO Survival Prediction (RESP)
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scores, information about ECMO runs, and information about patient outcomes. Data for SAVE and RESP scores were collected using the ELSO data collection rules in place when these scores were developed. The data elements collected and their definitions are described in the Online Appendix (appendix 1).
Schmidt M, Burrell A, Roberts L, et al. Predicting survival after ECMO for refractory cardiogenic shock: the survival after veno-arterial-ECMO (SAVE)-score. Eur Heart J 2015; 36: 2246-56.
Schmidt M, Bailey M, Sheldrake J, et al. Predicting survival after extracorporeal membrane oxygenation for severe acute respiratory failure. The Respiratory Extracorporeal Membrane Oxygenation Survival Prediction (RESP) score. Am J Respir Crit Care Med 2014; 189: 1374-82.
Patients were often admitted sequentially to several hospitals. A “continuous period of acute care” was defined as from first presentation to an acute care hospital until discharge to one of the following: home, a dedicated rehabilitation ward or hospital, a chronic care facility, or death. These end points were consistent with ELSO Registry end points, except that the ELSO Registry counts patients as survivors if they are transferred to another hospital, which underestimates mortality.
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We only counted patients as survivors if they survived their continuous period of acute care.
Safer Care Victoria. Adult extracorporeal membrane oxygenation (ECMO) in Victoria. Centralisation and retrieval model evidence review. Melbourne: Department of Health and Human Services, Victorian Government; 2019. https://www.bettersafercare.vic.gov.au/sites/default/files/2019-05/ECMO%20in%20Victoria_FINAL.pdf (viewed Oct 2020).
A “continuous period of ICU care” was defined as from admission to any ICU until discharge from ICU, if ECMO was provided during this period. Any high dependency unit meeting the definition from the College of Intensive Care Medicine of Australia and New Zealand
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was regarded as an ICU.
College of Intensive Care Medicine of Australia and New Zealand. Guidelines on standards for high dependency units for training in intensive care medicine [Ref. No. IC-13]. https://cicm.org.au/CICM_Media/CICMSite/CICM-Website/Resources/Professional%20Documents/IC-13-(2019)-Guidelines-on-Standards-for-High-Dependency-Units.pdf (viewed Oct 2020).
To benchmark the combined cohort (GCUH and PAH) mortality against ELSO Registry mortality, ROD predictions were made using RESP and SAVE scores, which were originally developed from the adult cohort of the ELSO Registry.
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Risk predictions for cardiac ECMO patients were made in two ways. The first method used the SAVE score, assigning the patient to one of five risk classes, each class having a single predicted ROD. The second method used β-coefficients of a logistic regression model from the SAVE study to generate individual ROD predictions. Risk predictions from the RESP scores used the same methods, with β-coefficients provided by Professor David Pilcher (Intensive Care Specialist, Alfred Hospital; personal communication, October 2019). The β-coefficients and how to calculate individual ROD are described in the Online Appendix (appendix 2, pp 32-34). For extracorporeal cardiopulmonary resuscitation (eCPR), all patients were assigned a ROD of 0.71, the overall adult ELSO Registry mortality for eCPR.
Schmidt M, Burrell A, Roberts L, et al. Predicting survival after ECMO for refractory cardiogenic shock: the survival after veno-arterial-ECMO (SAVE)-score. Eur Heart J 2015; 36: 2246-56.
Schmidt M, Bailey M, Sheldrake J, et al. Predicting survival after extracorporeal membrane oxygenation for severe acute respiratory failure. The Respiratory Extracorporeal Membrane Oxygenation Survival Prediction (RESP) score. Am J Respir Crit Care Med 2014; 189: 1374-82.
We also benchmarked the combined cohort mortality against a well performing high volume ECMO centre. The Alfred Hospital (AH) in Melbourne has the highest ECMO caseload in Australia. Data on AH cardiac ECMO patients from July 2006 to December 2013 were used as the validation cohort in the SAVE study, but mortality in the AH cohort was lower than in the developmental cohort. The predicted mortality assigned to each of the five risk classes of the SAVE score was adjusted to the observed ROD in each of these classes in the AH cohort (Table 2) and then used to make individual ROD predictions.
Safer Care Victoria reported 30-day mortality over 5 years at AH as 37% for ECMO patients with respiratory disease as the primary diagnosis.
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There were 310 ECMO separations at AH, with 23% in this respiratory disease group. This equates to 71 patients, with 26 deaths and 45 survivors. The CHEER study (Refractory cardiac arrest treated with mechanical CPR, hypothermia, ECMO and early reperfusion)
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published data from AH on survival to discharge from hospital for 24 patients treated with eCPR, with 12 deaths and 12 survivors. Fisher exact test (MATLAB) was used to compare our combined cohort respiratory and eCPR mortality with the mortality in the Safer Care Victoria and CHEER studies.
Safer Care Victoria. Adult extracorporeal membrane oxygenation (ECMO) in Victoria. Centralisation and retrieval model evidence review. Melbourne: Department of Health and Human Services, Victorian Government; 2019. https://www.bettersafercare.vic.gov.au/sites/default/files/2019-05/ECMO%20in%20Victoria_FINAL.pdf (viewed Oct 2020).
Stub D, Bernard S, Pellegrino V, et al. Refractory cardiac arrest treated with mechanical CPR, hypothermia, ECMO and early reperfusion (the CHEER trial). Resuscitation 2015; 86: 88-94.
The SAVE and RESP scores predict ROD for individual patients. We used the Monte Carlo simulation
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(Online Appendix, appendix 3, pp 35-36) to generate a probability distribution for the predicted number of deaths in the group as a whole.
Rubinstein RY, Kroese DP. Simulation and the Monte Carlo method. 3rd ed. Hoboken, NJ: John Wiley and Sons; 2017.
The primary analysis in this audit was performed on the combined dataset for both hospitals. Secondary analysis was performed on data from each hospital individually. Patients under 18 years of age were excluded from the analysis, analogous to the adult cohort of the ELSO Registry.
Results
Results for the combined cohorts are reported in this article. The corresponding probability distribution functions are described in the Online Appendix (appendix 4, pp 37-46). Information for the PAH and GCUH cohorts is included in the Online Appendix (appendices 5 [pp 47-56] and 6 [pp 57-66] respectively). Two patients died during ECMO cannulation. In keeping with ELSO Registry data definitions, they were excluded because ECMO flow was never established. ECMO was provided to 90 patients. Data for the 86 patients aged 18 years or over are presented.
Descriptive statistics
We present here information about the combined (GCUH and PAH) cardiac and respiratory cohorts, baseline information (pre-ECMO) (Table 1 and Table 2), ECMO therapy (Table 3), and patient outcomes (Table 4). Information about the eCPR cohort is included in the Online Appendix (appendix 4, pp 37-46).
Respiratory ECMO was provided to 49 patients and eight died (mortality rate, 16%). Cardiac ECMO was provided to 27 patients and nine died (mortality rate, 33%). eCPR was provided to ten patients and seven died (mortality rate, 70%). All patients who survived their continuous episode of ICU care were discharged home alive. Some had prolonged admission to rehabilitation facilities, mainly due to injuries from trauma.
Comparative statistics
Respiratory ECMO
Eight deaths were observed in 49 respiratory ECMO patients, below the 95% CI (13–24) for the deaths predicted by the RESP score class (P < 0.001). When the RESP logistic regression mortality predictions were used to generate the probability distribution, the eight observed deaths lay below the 95% CI (14–26) (P < 0.001).
Mortality was lower in our combined respiratory cohort (eight out of 49 patients died), than in the AH cohort (26 out of 71 patients died) from the Safer Care Victoria report (P = 0.0226; Fisher exact test).
Cardiac ECMO
Nine deaths were observed in the 27 cardiac ECMO patients, below the 95% CI (14–23) for the deaths predicted by the SAVE score class model (P < 0.001). When the SAVE logistic regression mortality predictions were used the 95% CIs were identical (P < 0.001).
With SAVE score class mortality predictions recalibrated to the AH cohort, the nine observed deaths lay within the 95% CI (9–17).
eCPR
The seven observed deaths in ten eCPR patients lay on the median value of the distribution generated using the ROD of 0.71 from the ELSO Registry, within the 95% CI (4–10). There was no difference between the mortality in our combined eCPR cohort (seven out of ten patients died), from the AH cohort in the CHEER study (12 out of 24 died) (P = 0.4513, Fisher exact test).