Quick links
Quick links
J Chest Surg 2024; 57(1): 36-43
Published online January 5, 2024 https://doi.org/10.5090/jcs.23.102
Copyright © Journal of Chest Surgery.
Sahri Kim , M.D., Jung Hyun Lim , M.D., Ho Hyun Ko , M.D., Hong Kyu Lee , M.D., Yong Joon Ra , M.D., Kunil Kim , M.D., Ph.D., Hyoung Soo Kim , M.D., Ph.D.
Department of Thoracic and Cardiovascular Surgery, Hallym University Sacred Heart Hospital, Anyang, Korea
Correspondence to:Hyoung Soo Kim
Tel 82-31-380-3815
Fax 82-31-380-3815
E-mail cskhs99@hallym.or.kr
ORCID
https://orcid.org/0000-0001-6023-0818
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background: Coronavirus disease 2019 (COVID-19) can lead to acute respiratory failure, which frequently necessitates invasive mechanical ventilation and extracorporeal membrane oxygenation (ECMO). However, the limited availability of ECMO resources poses challenges to patient selection and associated decision-making. Consequently, this retrospective single-center study was undertaken to evaluate the characteristics and clinical outcomes of patients with COVID-19 receiving ECMO.
Methods: Between March 2020 and July 2022, 65 patients with COVID-19 were treated with ECMO and were subsequently reviewed. Patient demographics, laboratory data, and clinical outcomes were examined, and statistical analyses were performed to identify risk factors associated with mortality.
Results: Of the patients studied, 15 (23.1%) survived and were discharged from the hospital, while 50 (76.9%) died during their hospitalization. The survival group had a significantly lower median age, at 52 years (interquartile range [IQR], 47.5–61.5 years), compared to 64 years (IQR, 60.0–68.0 years) among mortality group (p=0.016). However, no significant differences were observed in other underlying conditions or in factors related to intervention timing. Multivariable analysis revealed that the requirement of a change in ECMO mode (odds ratio [OR], 366.77; 95% confidence interval [CI], 1.92–69911.92; p=0.0275) and the initiation of continuous renal replacement therapy (CRRT) (OR, 139.15; 95% CI, 1.95–9,910.14; p=0.0233) were independent predictors of mortality.
Conclusion: Changes in ECMO mode and the initiation of CRRT during management were associated with mortality in patients with COVID-19 who were supported by ECMO. Patients exhibiting these factors require careful monitoring due to the potential for adverse outcomes.
Keywords: COVID-19, Extracorporeal membrane oxygenation, Acute respiratory distress syndrome
In March 2020, coronavirus disease 2019 (COVID-19) was declared a global pandemic by the World Health Organization [1]. Extensive research has since revealed that COVID-19 may lead to a range of complications, with respiratory issues being the most common and severe [2]. Acute respiratory failure resulting from COVID-19 infection frequently necessitates the use of invasive mechanical ventilation, and extracorporeal membrane oxygenation (ECMO) has emerged as a potentially life-saving intervention [3-7].
ECMO serves as an effective means of temporary respiratory and/or circulatory support. However, during the COVID-19 pandemic, the limited availability of ECMO resources has challenged healthcare professionals. This scarcity has necessitated difficult decisions regarding patient selection [3,4,8-10]. Thus, it is crucial to identify the factors associated with patient outcomes and mortality in this context.
Existing research has primarily been focused on patients with COVID-19 who are supported by veno-venous ECMO [3-5,8,9,11,12]. However, some patients with COVID-19 infection not only have impaired lung function but also require circulatory support, due to conditions such as right ventricular (RV) failure and septic shock. This necessitates veno-arterial or veno-arterio-venous ECMO. The objective of this study was to examine the characteristics, risk factors, and outcomes of COVID-19 patients who received ECMO. The findings may provide comprehensive clinical insights for the management of this patient group.
This retrospective study was approved by the Institutional Review Board of Hallym University Sacred Heart Hospital (IRB no., 2023-06-014-001). The requirement for informed consent was waived due to the retrospective nature of the research. The study incorporated patients who required ECMO support for COVID-19 between March 2020 and July 2022. The exclusion criteria included patients under 19 years of age, those with an ECMO support duration of less than 24 hours, and those who needed ECMO support for surgical intervention. One patient who required surgical intervention was excluded, yielding a final analysis cohort of 65 patients.
Patient characteristics and clinical outcomes were retrospectively reviewed through the analysis of electronic medical records. Arterial blood gas analysis was performed prior to ECMO cannulation, and additional laboratory data were collected immediately after ECMO initiation.
The use of ECMO was guided by the Extracorporeal Life Support Organization guidelines, which stipulate that ECMO is indicated if: (1) the ratio of the partial pressure of arterial oxygen to the inspired fraction of oxygen is less than 100, and/or (2) the pH is less than 7.25 with a partial pressure of arterial carbon dioxide greater than or equal to 60 mm Hg, despite the application of optimal conventional management [6]. Initially, ECMO was implemented in the veno-venous mode. However, if the patient required an intravenous norepinephrine dosage exceeding 0.5 µg/kg/min, or if bedside echocardiography revealed an ejection fraction of less than 20%, veno-arterial or veno-arterio-venous ECMO was initiated.
The cannulae for ECMO were inserted at the bedside under ultrasound guidance, with routine postprocedural chest and abdominal X-rays conducted. Fluoroscopic guidance was not available due to quarantine requirements. The management of COVID-19 aligned with the guidelines set by the Korea Disease Control and Prevention Agency and the Korean Society of Infectious Diseases. Adjustments to mechanical ventilation were made to protect the lungs. Once patients completed their quarantine period and were transferred to the general intensive care unit, efforts were made to achieve awake ECMO, utilizing high-flow support or nasal prongs for oxygen supply.
Changes to the ECMO mode were considered based on the findings of follow-up echocardiography. In instances in which lung transplantation was considered for patients undergoing a change in ECMO mode, an oxygenated RV assist device (Oxy-RVAD) was preferred over veno-arterial-venous ECMO.
Continuous variables were presented as either means±standard deviations or as medians with corresponding interquartile ranges (IQRs), as appropriate. Either the Student t-test or the Mann-Whitney U test was used to compare continuous variables between groups. Categorical variables were expressed as percentages (%) and assessed using the chi-square test or Fisher exact test for comparison. A p-value of less than 0.05 was considered to indicate statistical significance.
To identify the risk factors associated with mortality, multivariable logistic regression analysis was performed. This analysis incorporated variables that demonstrated a p-value of less than 0.05 in the univariate analysis. Patient survival was assessed using Kaplan-Meier survival analysis in conjunction with a Cox proportional hazards model. All statistical analyses were performed using R statistical software ver. 4.2.1 (R Foundation for Statistical Computing, Vienna, Austria).
Of all examined patients with COVID-19 who received ECMO support, 15 (23.1%) were discharged from the hospital as survivors, while 50 (76.9%) died during their hospital stay. The primary cause of death was sepsis for 46 patients, while 2 patients died from cerebrovascular accidents, 1 from gastrointestinal bleeding, and 1 from pulmonary hemorrhage. Successful weaning from ECMO was achieved for 33.8% (22/65) of patients, including 7 who later died. The median duration of follow-up was 405 days (IQR, 341.0–613.5 days), with no reported instances of mortality after discharge during the follow-up period. Demographic data were compared between the survival and mortality groups. A significant difference in median age was observed between these groups, with the survival group being substantially younger (52.0 years [IQR, 47.5–61.5 years] versus 64.0 years [IQR, 60.0–68.0 years], p=0.016). However, no significant differences were found in other underlying conditions or in factors related to intervention timing. Detailed data are presented in Table 1. Although pre-ECMO initiation conditions—including sepsis-related organ failure assessment score, simplified acute physiologic score, and blood gas analysis—displayed no significant differences, patients in the survival group had lower respiratory ECMO survival prediction (RESP) scores (p=0.014) than those in the mortality group. However, the RESP score lost statistical significance in the univariate logistic regression analysis (score of 1, p=0.6569; score of 2, p=0.9166, score of 3, p=0.9943; score of 4, p=0.8192) and was consequently excluded from the multivariable analysis. In the initial laboratory tests conducted after ECMO initiation, the survival group had a higher platelet count (257.0×103/µL [IQR, 208.0×103/µL–312.5×103/µL] versus 159.0×103/µL [IQR, 134.0×103/µL–189.0×103/µL]) and cholesterol level (127.0 mg/dL [IQR, 85.5–159.0 mg/dL] versus 87.0 mg/dL [IQR, 73.0–104.0 mg/dL]) than the mortality group. No significant differences were observed in the other results. All laboratory test results are summarized in Table 2.
Table 1. Demographics of patients with COVID-19 managed with ECMO
Characteristic | Survival (n=15) | Mortality (n=50) | p-value |
---|---|---|---|
Age (yr) | 52.0 (47.5–61.5) | 64.0 (60.0–68.0) | 0.016 |
Male | 8 (53.3) | 30 (60.0) | 0.872 |
Body mass index (kg/m2) | 26.2 (23.4–29.2) | 24.4 (22.9–26.5) | 0.269 |
Body surface area (m2) | 1.7 (1.6–1.9) | 1.8 (1.7–1.9) | 0.875 |
Transferred | 5 (33.3) | 31 (62.0) | 0.096 |
COVID-19 to admission (day) | 0.0 (0.0–7.0) | 1.0 (0.0–5.0) | 0.741 |
COVID-19 to mechanical ventilation (day) | 9.0 (3.5–12.0) | 9.0 (1.0–13.0) | 0.953 |
COVID to ECMO (day) | 11.0 (6.5–20.0) | 14 (3.0–22.0) | 0.646 |
Mechanical ventilation to ECMO (day) | 1.0 (0.0–1.5) | 2.0 (1.0–8.0) | 0.066 |
Follow-up duration (day) | 405.0 (341.0–613.5) | 45.5 (23.0–65.0) | <0.001 |
Hypertension | 8 (53.3) | 23 (46.0) | 0.838 |
Diabetes | 6 (40.0) | 18 (36.0) | 1.000 |
Chronic kidney disease | 1 (6.7) | 3 (6.0) | 1.000 |
pH before ECMO | 7.3 (7.3–7.4) | 7.3 (7.3–7.4) | 0.824 |
PaO2 before ECMO (mm Hg) | 73.8 (61.8–91.9) | 69.0 (56.1–84.8) | 0.354 |
PaCO2 before ECMO (mm Hg) | 46.6 (40.4–49.9) | 43.8 (37.0–55.5) | 0.969 |
P/F ratio before ECMO | 74.8 (63.5–96.0) | 68.1 (56.1–85.9) | 0.285 |
Sepsis-related organ failure assessment | 10.5±2.3 | 11.1±3.1 | 0.489 |
Simplified acute physiological score | 58.3±16.8 | 61.4±13.9 | 0.501 |
Respiratory ECMO survival prediction | 0.014 | ||
1 | 2 (15.4) | 3 (7.9) | |
2 | 9 (69.2) | 15 (39.5) | |
3 | 0 | 16 (42.1) | |
4 | 2 (15.4) | 4 (10.5) | |
ECMO weaning success | 15 (100.0) | 7 (14.0) | <0.001 |
Values are presented as median (interquartile range), number (%), or mean±standard deviation.
COVID-19, coronavirus disease 19; ECMO, extracorporeal membrane oxygenation; PaO2, partial pressure of arterial oxygen; PaCO2, partial pressure of arterial carbon dioxide; P/F, partial pressure of arterial oxygen/inspired fraction of oxygen.
Table 2. Laboratory data after extracorporeal membrane oxygenation initiation
Variable | Survival (n=15) | Mortality (n=50) | p-value |
---|---|---|---|
White blood cell (×103/µL) | 15.4 (11.9–22.6) | 12.5 (9.3–18.2) | 0.139 |
Hemoglobin (d/dL) | 11.1±2.7 | 10.8±2.1 | 0.669 |
Platelet (×103/µL) | 257.0 (208.0–312.5) | 159.0 (134.0–189.0) | <0.001 |
C-reactive protein (mg/L) | 125.9 (64.9–170.6) | 107.1 (65.3–156.5) | 0.839 |
Blood urea nitrogen (mg/dL) | 16.1 (13.4–29.8) | 24.4 (15.4–34.4) | 0.080 |
Creatinine (mg/dL) | 0.9 (0.5–1.2) | 0.8 (0.6–1.4) | 0.926 |
Cr eGFR (mL/min/1.73 m2) | 84.0 (58.0–90.0) | 90.0 (47.0–90.0) | 0.580 |
Albumin (mg/dL) | 2.8 (2.3–3.2) | 2.7 (2.0–2.9) | 0.115 |
Procalcitonin (ng/mL) | 0.2 (0.1–0.5) | 0.4 (0.2–1.6) | 0.121 |
Lactate dehydrogenase (U/L) | 440.0 (381.0–618.5) | 494.0 (424.0–552.0) | 0.884 |
Aspartate transaminase (IU/L) | 38.0 (25.0–86.5) | 40.0 (29.0–59.0) | 0.860 |
Alanine transferase (IU/L) | 22.0 (14.5–58.0) | 27.0 (18.0–43.0) | 0.488 |
Creatine kinase (IU/L) | 61.0 (28.5–305.5) | 102.0 (55.0–274.0) | 0.355 |
Cholesterol (mg/dL) | 127.0 (85.5–159.0) | 87.0 (73.0–104.0) | 0.043 |
Amylase (U/L) | 58.0 (51.5–89.0) | 56.0 (32.0–122.0) | 0.725 |
Lipase (U/L) | 27.5 (19.0–127.0) | 32.0 (20.0–67.0) | 0.750 |
Uric acid (mg/dL) | 2.6 (1.8–3.5) | 2.1 (1.5–4.6) | 0.753 |
Creatine kinase-myocardial band (mg/mL) | 1.8 (1.2–4.5) | 2.7 (1.2–3.8) | 0.993 |
Troponin-I (pg/mL) | 27.8 (11.3–60.0) | 93.9 (28.2–369.7) | 0.082 |
Brain natriuretic peptide (pg/mL) | 31.0 (16.9–100.8) | 76.1 (28.4–290.3) | 0.083 |
Glucose (mg/dL) | 251.5±73.6 | 244.3±89.3 | 0.782 |
Values are presented as median (interquartile range) or mean±standard deviation.
Cr eGFR, creatinine estimated glomerular filtration rate.
Table 3 details data on the initial mode of ECMO, its duration, any changes in mode, concomitant management of CRRT, and complications such as pneumothorax, bleeding, and limb ischemia. Bleeding complications were defined as a drop in hemoglobin of 1 g/dL, the need for transfusion of more than 1 pack of red blood cells, or the requirement for surgical repair due to bleeding at the intervention site. These complications could occur in the nasopharyngeal, gastrointestinal, and urinary tracts. Intracranial bleeding was also considered a bleeding event, regardless of its severity. Initially, veno-venous ECMO was initiated in 12 (80.0%) of the 15 patients in the survival group and 42 (84.0%) of the 50 patients in the mortality group. The remaining patients began with veno-arterial ECMO. The femoro-femoral cannulation approach was used for all veno-arterial ECMO cases. The majority of veno-venous ECMO cases involved either femoro-jugular (35 of 54 patients, 66.7%) or femoro-femoral (18 of 54 patients, 33.3%) cannulation. One patient who received veno-venous ECMO underwent femoro-axillary cannulation.
Table 3. Extracorporeal membrane oxygenation data
Variable | Survival (n=15) | Mortality (n=50) | p-value |
---|---|---|---|
Initial ECMO mode | 0.706 | ||
Veno-venous | 12 (80.0) | 42 (84.0) | |
Veno-arterial | 3 (20.0) | 8 (16.0) | |
ECMO duration (day) | 21.0 (18.5–32.5) | 41.5 (22.0–60.0) | 0.009 |
ECMO mode change | 1 (6.7) | 28 (56.0) | 0.002 |
Continuous renal replacement therapy | 4 (26.7) | 47 (94.0) | <0.001 |
Complication | |||
Pneumothorax | 1 (6.7) | 17 (34.0) | 0.049 |
Bleeding | 0 | 15 (30.0) | 0.014 |
Limb ischemia | 1 (6.7) | 1 (2.0) | 0.411 |
Values are presented as number (%) or median (interquartile range).
ECMO, extracorporeal membrane oxygenation.
Six patients required a second round of ECMO treatment, comprising 1 individual from the survival group and 5 who did not survive. Additionally, 5 patients underwent lung transplantation, 1 of whom survived.
During ECMO management, a change in the ECMO mode was required for 29 patients (44.6%) due to either RV failure or septic shock. Of these 29 patients, 5 transitioned from veno-venous ECMO to Oxy-RVAD, while 22 were switched to veno-arterial-venous ECMO (17 from veno-venous ECMO and 5 from veno-arterial ECMO). The remaining 2 patients were transitioned from veno-venous ECMO to veno-arterial ECMO (Fig. 1).
In the univariate analyses, several factors were found to be significantly associated with mortality, including age (odds ratio [OR], 1.07; 95% confidence interval [CI], 1.01–1.13; p=0.0327), ECMO duration (OR, 1.05; 95% CI, 1.01–1.09; p=0.0149), the requirement of an ECMO mode change (OR, 17.82; 95% CI, 2.17–146.12; p=0.0073), platelet count (OR, 0.99; 95% CI, 0.98–1.00; p=0.0079), and concomitant CRRT (OR, 43.08; 95% CI, 8.4–220.9; p<0.0001) (Table 4). Subsequently, a multivariable logistic regression analysis was conducted to identify independent predictors of mortality. This analysis revealed that the need for an ECMO mode change and CRRT were significantly associated with mortality (Table 5).
Table 4. Univariate logistic regression analysis for mortality risk factors
Characteristic | OR (95% CI) | p-value |
---|---|---|
Age | 1.07 (1.01–1.13) | 0.0327 |
ECMO mode change | 17.82 (2.17–146.12) | 0.0073 |
ECMO duration | 1.05 (1.01–1.09) | 0.0149 |
Platelet count | 0.99 (0.98–1.00) | 0.0079 |
Cholesterol | 0.99 (0.98–1.00) | 0.0628 |
CRRT initiation | 43.08 (8.4–220.9) | <0.0001 |
Pneumothorax | 7.21 (0.87–59.57) | 0.0666 |
OR, odds ratio; CI, confidence interval; ECMO, extracorporeal membrane oxygenation; CRRT, continuous renal replacement therapy.
Table 5. Multivariable logistic regression analysis for mortality risk factors
Characteristic | OR (95% CI) | p-value |
---|---|---|
Age | 1.11 (0.99–1.25) | 0.0762 |
ECMO mode change | 366.77 (1.92–69911.92) | 0.0275 |
ECMO duration | 1.14 (0.97–1.34) | 0.1064 |
Platelet count | 0.98 (0.96–1.00) | 0.0828 |
CRRT | 139.15 (1.95–9910.14) | 0.0233 |
OR, odds ratio; CI, confidence interval; ECMO, extracorporeal membrane oxygenation; CRRT, continuous renal replacement therapy.
Kaplan-Meier survival analysis was performed to assess the outcomes of all patients (Fig. 2). To evaluate the impact of changes in ECMO configuration on mortality risk, we conducted additional assessments.
During the early stages of treating patients with COVID-19 using ECMO, concerns were raised over the high mortality rate and unfavorable patient prognosis observed [13,14]. To enhance patient outcomes, experts shared their knowledge and experiences, which resulted in improved management strategies. Extensive research has been undertaken to pinpoint the primary risk factors linked to ECMO treatment in patients with COVID-19. Several studies have consistently identified older age as a risk factor for mortality [5,8,11,12].
Platelets, while primarily known for their role in hemostasis, also have critical functions in inflammation and host defense responses [15]. Consequently, the platelet count is associated with mortality among critically ill patients, including those undergoing ECMO treatment for COVID-19 [11,16,17]. Kieninger et al. [11] observed a significant difference in the mean platelet count, with mortality group exhibiting lower platelet counts than survival group both before and during veno-venous ECMO management. Similarly, Zaaqoq et al. [17] compared the time-group interaction for platelet count during the first 7 days of ECMO management between survival and mortality groups, finding that the platelet count was significantly lower in mortality group. The precise mechanism causing thrombocytopenia in patients with COVID-19 is not yet fully understood, but several theories have been proposed. Specifically, inflammation can cause tissue damage and endothelial dysfunction, triggering the activation of a coagulation cascade and causing platelet activation and consumption [16,17]. Furthermore, since the lungs may contribute to platelet production, lung damage could result in a production decrease. The formation of thrombi at the site of injury can also contribute to the consumption of platelets and megakaryocytes [15,18].
In line with prior research, significant differences were found in age and platelet count between the survival and mortality groups. However, these associations did not reach statistical significance in the multivariable analysis. The limited sample size of this study could account for these inconclusive findings. Consequently, studies with larger sample sizes, such as multicenter studies or meta- analyses, are necessary.
Acute renal failure necessitating CRRT has been identified as a risk factor for mortality in patients with COVID-19 who receive ECMO [8,17]. In line with this finding, our observations revealed a significantly higher rate of CRRT initiation in mortality group than in survival group (94% versus 26.7%, respectively; p<0.001). Multivariate analysis additionally demonstrated that CRRT was an independent predictor of mortality. Notably, as highlighted in the previously mentioned studies, CRRT should not be considered a direct cause of death. Rather, it serves as an indicator of critical illness and is associated with relatively poor prognosis in these patients.
Notably, we found that the requirement of a change in ECMO mode was associated with mortality, a finding not previously reported. The primary drivers for changes in ECMO mode were RV failure and septic shock. However, other factors such as worsening infection and inflammation, along with multiple organ failure, could contribute to the necessity for an ECMO mode change. Consequently, it is challenging to determine whether the change in ECMO mode itself directly impacts mortality. This observation can be interpreted in the context of patients with acute renal failure who require CRRT. Both changes in ECMO mode and the need for CRRT reflect the complexity and severity of the patient’s condition, highlighting the importance of close monitoring and early intervention in the management of critically ill patients.
Previous studies have reported a range of 3 to 7 days for the duration of mechanical ventilation prior to the initiation of ECMO [3,8,11,19]. Makhoul et al. [8] and Kieninger et al. [11] found that mortality group experienced a longer duration of mechanical ventilation, and a meta-analysis by Tran et al. [12] suggested that a longer period might be associated with increased mortality. However, our study did not reveal a significant difference in the pre-ECMO duration of mechanical ventilation between the survival and mortality groups, with durations of 1 day (IQR, 0.0–1.5) and 2 days (IQR, 1.0–8.0), respectively. Furthermore, we observed a shorter interval between intubation and cannulation in our patient cohort compared to previous studies. Among the 65 patients included in our analysis, 35 (53.8%) underwent cannulation within 48 hours of intubation, and 17 were cannulated on the same day. These findings can be interpreted in several ways. First, our patient cohort, including those with COVID-19, primarily consisted of referred patients. During the study period, 36 of 65 patients (55.4%) were transferred from surrounding hospitals. Due to a national shortage of resources, including equipment for ECMO, mechanical ventilators, isolation rooms, protective devices, and human resources, hospitals without specialized centers had to delay patient transfers as long as possible, necessitating rapid intervention upon arrival. As a result, approximately half of the patients referred for ECMO insertion were transferred within 24 hours of intubation. In addition, the rapid progression of COVID-19 may have contributed to the short interval between intubation and cannulation. To fully understand the factors contributing to this quick deterioration, multi-institutional studies are required. Future research should explore whether this pattern is specific to Asian populations, as most previous studies have focused on American and European populations, or whether it is associated with a specific variant. This is particularly relevant given the rapid increase in COVID-19 cases in Korea following the emergence of the Omicron variant.
In 2014, we published a report detailing similar outcomes for veno-venous ECMO in patients with acute respiratory failure, revealing a mortality rate of 32.3%. Concurrently, the mortality rate for patients with non–COVID-19– related acute respiratory failure who required any form of ECMO, including veno-arterial ECMO, was approximately 57.6% (19/33) [20]. However, in this current study, the in-hospital mortality rate for patients with COVID-19 who were supported by ECMO (76.9%) exceeded both this pre-pandemic mortality rate and the mortality rates previously reported for COVID-19 patients receiving ECMO (37%–55%) [8,21]. Most prior studies have primarily been focused on patients receiving veno-venous ECMO support. According to the updated 2021 Guidelines of the Extracorporeal Life Support Organization, limited data are available on veno-arterial ECMO for COVID-19, and pre-pandemic data indicate higher mortality rates associated with veno-arterial ECMO compared to veno-venous ECMO [6]. In our patient cohort, 11 patients (16.9%) were initially put on veno-arterial ECMO, and 29 patients required a change in ECMO mode, suggesting a critically ill state. Furthermore, 18 patients were registered for lung transplantation, but only 5 received a donor lung, while 13 (representing 26% of all deaths) died while on the waiting list. The high mortality rate observed in our study may be attributed to a combination of factors, including patient characteristics requiring circulatory support, limited resources (including a shortage of organs) during the pandemic, and the potentially aggressive nature of the viral infection.
This study has some limitations. First, the research design was retrospective, and the study was conducted at a single center, potentially limiting the generalizability of the findings to a broader population. Second, the sample size was relatively small, which may have affected the statistical power and precision of the results.
In conclusion, changes in ECMO mode due to RV failure and/or septic shock, as well as CRRT—which represent critical conditions—were found to be associated with mortality in patients with COVID-19 supported by ECMO. Patients exhibiting these factors necessitate careful monitoring for adverse outcomes. Further research, preferably in the form of larger multicenter studies, is needed to confirm the uncertain results of this study, particularly in relation to platelet count and age. These findings, along with future endeavors to identify other factors that could influence patient outcomes, may aid in refining patient selection and management strategies. This could ultimately improve outcomes for critically ill patients with COVID-19 who require ECMO intervention.
Author contributions
Conceptualization: HSK. Data curation: SK. Formal analysis: SK, JHL, HHK. Investigation: SK. Methodology: JHL, HHK, HSK. Project administration: HSK. Visualization: SK, JHL. Writing–original draft: SK. Writing–review & editing: all authors. Final approval of the manuscript: JHL, HHK, KIK, HSK.
Conflict of interest
No potential conflict of interest relevant to this article has been reported.
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
J Chest Surg 2024; 57(1): 36-43
Published online January 5, 2024 https://doi.org/10.5090/jcs.23.102
Copyright © Journal of Chest Surgery.
Sahri Kim , M.D., Jung Hyun Lim , M.D., Ho Hyun Ko , M.D., Hong Kyu Lee , M.D., Yong Joon Ra , M.D., Kunil Kim , M.D., Ph.D., Hyoung Soo Kim , M.D., Ph.D.
Department of Thoracic and Cardiovascular Surgery, Hallym University Sacred Heart Hospital, Anyang, Korea
Correspondence to:Hyoung Soo Kim
Tel 82-31-380-3815
Fax 82-31-380-3815
E-mail cskhs99@hallym.or.kr
ORCID
https://orcid.org/0000-0001-6023-0818
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background: Coronavirus disease 2019 (COVID-19) can lead to acute respiratory failure, which frequently necessitates invasive mechanical ventilation and extracorporeal membrane oxygenation (ECMO). However, the limited availability of ECMO resources poses challenges to patient selection and associated decision-making. Consequently, this retrospective single-center study was undertaken to evaluate the characteristics and clinical outcomes of patients with COVID-19 receiving ECMO.
Methods: Between March 2020 and July 2022, 65 patients with COVID-19 were treated with ECMO and were subsequently reviewed. Patient demographics, laboratory data, and clinical outcomes were examined, and statistical analyses were performed to identify risk factors associated with mortality.
Results: Of the patients studied, 15 (23.1%) survived and were discharged from the hospital, while 50 (76.9%) died during their hospitalization. The survival group had a significantly lower median age, at 52 years (interquartile range [IQR], 47.5–61.5 years), compared to 64 years (IQR, 60.0–68.0 years) among mortality group (p=0.016). However, no significant differences were observed in other underlying conditions or in factors related to intervention timing. Multivariable analysis revealed that the requirement of a change in ECMO mode (odds ratio [OR], 366.77; 95% confidence interval [CI], 1.92–69911.92; p=0.0275) and the initiation of continuous renal replacement therapy (CRRT) (OR, 139.15; 95% CI, 1.95–9,910.14; p=0.0233) were independent predictors of mortality.
Conclusion: Changes in ECMO mode and the initiation of CRRT during management were associated with mortality in patients with COVID-19 who were supported by ECMO. Patients exhibiting these factors require careful monitoring due to the potential for adverse outcomes.
Keywords: COVID-19, Extracorporeal membrane oxygenation, Acute respiratory distress syndrome
In March 2020, coronavirus disease 2019 (COVID-19) was declared a global pandemic by the World Health Organization [1]. Extensive research has since revealed that COVID-19 may lead to a range of complications, with respiratory issues being the most common and severe [2]. Acute respiratory failure resulting from COVID-19 infection frequently necessitates the use of invasive mechanical ventilation, and extracorporeal membrane oxygenation (ECMO) has emerged as a potentially life-saving intervention [3-7].
ECMO serves as an effective means of temporary respiratory and/or circulatory support. However, during the COVID-19 pandemic, the limited availability of ECMO resources has challenged healthcare professionals. This scarcity has necessitated difficult decisions regarding patient selection [3,4,8-10]. Thus, it is crucial to identify the factors associated with patient outcomes and mortality in this context.
Existing research has primarily been focused on patients with COVID-19 who are supported by veno-venous ECMO [3-5,8,9,11,12]. However, some patients with COVID-19 infection not only have impaired lung function but also require circulatory support, due to conditions such as right ventricular (RV) failure and septic shock. This necessitates veno-arterial or veno-arterio-venous ECMO. The objective of this study was to examine the characteristics, risk factors, and outcomes of COVID-19 patients who received ECMO. The findings may provide comprehensive clinical insights for the management of this patient group.
This retrospective study was approved by the Institutional Review Board of Hallym University Sacred Heart Hospital (IRB no., 2023-06-014-001). The requirement for informed consent was waived due to the retrospective nature of the research. The study incorporated patients who required ECMO support for COVID-19 between March 2020 and July 2022. The exclusion criteria included patients under 19 years of age, those with an ECMO support duration of less than 24 hours, and those who needed ECMO support for surgical intervention. One patient who required surgical intervention was excluded, yielding a final analysis cohort of 65 patients.
Patient characteristics and clinical outcomes were retrospectively reviewed through the analysis of electronic medical records. Arterial blood gas analysis was performed prior to ECMO cannulation, and additional laboratory data were collected immediately after ECMO initiation.
The use of ECMO was guided by the Extracorporeal Life Support Organization guidelines, which stipulate that ECMO is indicated if: (1) the ratio of the partial pressure of arterial oxygen to the inspired fraction of oxygen is less than 100, and/or (2) the pH is less than 7.25 with a partial pressure of arterial carbon dioxide greater than or equal to 60 mm Hg, despite the application of optimal conventional management [6]. Initially, ECMO was implemented in the veno-venous mode. However, if the patient required an intravenous norepinephrine dosage exceeding 0.5 µg/kg/min, or if bedside echocardiography revealed an ejection fraction of less than 20%, veno-arterial or veno-arterio-venous ECMO was initiated.
The cannulae for ECMO were inserted at the bedside under ultrasound guidance, with routine postprocedural chest and abdominal X-rays conducted. Fluoroscopic guidance was not available due to quarantine requirements. The management of COVID-19 aligned with the guidelines set by the Korea Disease Control and Prevention Agency and the Korean Society of Infectious Diseases. Adjustments to mechanical ventilation were made to protect the lungs. Once patients completed their quarantine period and were transferred to the general intensive care unit, efforts were made to achieve awake ECMO, utilizing high-flow support or nasal prongs for oxygen supply.
Changes to the ECMO mode were considered based on the findings of follow-up echocardiography. In instances in which lung transplantation was considered for patients undergoing a change in ECMO mode, an oxygenated RV assist device (Oxy-RVAD) was preferred over veno-arterial-venous ECMO.
Continuous variables were presented as either means±standard deviations or as medians with corresponding interquartile ranges (IQRs), as appropriate. Either the Student t-test or the Mann-Whitney U test was used to compare continuous variables between groups. Categorical variables were expressed as percentages (%) and assessed using the chi-square test or Fisher exact test for comparison. A p-value of less than 0.05 was considered to indicate statistical significance.
To identify the risk factors associated with mortality, multivariable logistic regression analysis was performed. This analysis incorporated variables that demonstrated a p-value of less than 0.05 in the univariate analysis. Patient survival was assessed using Kaplan-Meier survival analysis in conjunction with a Cox proportional hazards model. All statistical analyses were performed using R statistical software ver. 4.2.1 (R Foundation for Statistical Computing, Vienna, Austria).
Of all examined patients with COVID-19 who received ECMO support, 15 (23.1%) were discharged from the hospital as survivors, while 50 (76.9%) died during their hospital stay. The primary cause of death was sepsis for 46 patients, while 2 patients died from cerebrovascular accidents, 1 from gastrointestinal bleeding, and 1 from pulmonary hemorrhage. Successful weaning from ECMO was achieved for 33.8% (22/65) of patients, including 7 who later died. The median duration of follow-up was 405 days (IQR, 341.0–613.5 days), with no reported instances of mortality after discharge during the follow-up period. Demographic data were compared between the survival and mortality groups. A significant difference in median age was observed between these groups, with the survival group being substantially younger (52.0 years [IQR, 47.5–61.5 years] versus 64.0 years [IQR, 60.0–68.0 years], p=0.016). However, no significant differences were found in other underlying conditions or in factors related to intervention timing. Detailed data are presented in Table 1. Although pre-ECMO initiation conditions—including sepsis-related organ failure assessment score, simplified acute physiologic score, and blood gas analysis—displayed no significant differences, patients in the survival group had lower respiratory ECMO survival prediction (RESP) scores (p=0.014) than those in the mortality group. However, the RESP score lost statistical significance in the univariate logistic regression analysis (score of 1, p=0.6569; score of 2, p=0.9166, score of 3, p=0.9943; score of 4, p=0.8192) and was consequently excluded from the multivariable analysis. In the initial laboratory tests conducted after ECMO initiation, the survival group had a higher platelet count (257.0×103/µL [IQR, 208.0×103/µL–312.5×103/µL] versus 159.0×103/µL [IQR, 134.0×103/µL–189.0×103/µL]) and cholesterol level (127.0 mg/dL [IQR, 85.5–159.0 mg/dL] versus 87.0 mg/dL [IQR, 73.0–104.0 mg/dL]) than the mortality group. No significant differences were observed in the other results. All laboratory test results are summarized in Table 2.
Table 1 . Demographics of patients with COVID-19 managed with ECMO.
Characteristic | Survival (n=15) | Mortality (n=50) | p-value |
---|---|---|---|
Age (yr) | 52.0 (47.5–61.5) | 64.0 (60.0–68.0) | 0.016 |
Male | 8 (53.3) | 30 (60.0) | 0.872 |
Body mass index (kg/m2) | 26.2 (23.4–29.2) | 24.4 (22.9–26.5) | 0.269 |
Body surface area (m2) | 1.7 (1.6–1.9) | 1.8 (1.7–1.9) | 0.875 |
Transferred | 5 (33.3) | 31 (62.0) | 0.096 |
COVID-19 to admission (day) | 0.0 (0.0–7.0) | 1.0 (0.0–5.0) | 0.741 |
COVID-19 to mechanical ventilation (day) | 9.0 (3.5–12.0) | 9.0 (1.0–13.0) | 0.953 |
COVID to ECMO (day) | 11.0 (6.5–20.0) | 14 (3.0–22.0) | 0.646 |
Mechanical ventilation to ECMO (day) | 1.0 (0.0–1.5) | 2.0 (1.0–8.0) | 0.066 |
Follow-up duration (day) | 405.0 (341.0–613.5) | 45.5 (23.0–65.0) | <0.001 |
Hypertension | 8 (53.3) | 23 (46.0) | 0.838 |
Diabetes | 6 (40.0) | 18 (36.0) | 1.000 |
Chronic kidney disease | 1 (6.7) | 3 (6.0) | 1.000 |
pH before ECMO | 7.3 (7.3–7.4) | 7.3 (7.3–7.4) | 0.824 |
PaO2 before ECMO (mm Hg) | 73.8 (61.8–91.9) | 69.0 (56.1–84.8) | 0.354 |
PaCO2 before ECMO (mm Hg) | 46.6 (40.4–49.9) | 43.8 (37.0–55.5) | 0.969 |
P/F ratio before ECMO | 74.8 (63.5–96.0) | 68.1 (56.1–85.9) | 0.285 |
Sepsis-related organ failure assessment | 10.5±2.3 | 11.1±3.1 | 0.489 |
Simplified acute physiological score | 58.3±16.8 | 61.4±13.9 | 0.501 |
Respiratory ECMO survival prediction | 0.014 | ||
1 | 2 (15.4) | 3 (7.9) | |
2 | 9 (69.2) | 15 (39.5) | |
3 | 0 | 16 (42.1) | |
4 | 2 (15.4) | 4 (10.5) | |
ECMO weaning success | 15 (100.0) | 7 (14.0) | <0.001 |
Values are presented as median (interquartile range), number (%), or mean±standard deviation..
COVID-19, coronavirus disease 19; ECMO, extracorporeal membrane oxygenation; PaO2, partial pressure of arterial oxygen; PaCO2, partial pressure of arterial carbon dioxide; P/F, partial pressure of arterial oxygen/inspired fraction of oxygen..
Table 2 . Laboratory data after extracorporeal membrane oxygenation initiation.
Variable | Survival (n=15) | Mortality (n=50) | p-value |
---|---|---|---|
White blood cell (×103/µL) | 15.4 (11.9–22.6) | 12.5 (9.3–18.2) | 0.139 |
Hemoglobin (d/dL) | 11.1±2.7 | 10.8±2.1 | 0.669 |
Platelet (×103/µL) | 257.0 (208.0–312.5) | 159.0 (134.0–189.0) | <0.001 |
C-reactive protein (mg/L) | 125.9 (64.9–170.6) | 107.1 (65.3–156.5) | 0.839 |
Blood urea nitrogen (mg/dL) | 16.1 (13.4–29.8) | 24.4 (15.4–34.4) | 0.080 |
Creatinine (mg/dL) | 0.9 (0.5–1.2) | 0.8 (0.6–1.4) | 0.926 |
Cr eGFR (mL/min/1.73 m2) | 84.0 (58.0–90.0) | 90.0 (47.0–90.0) | 0.580 |
Albumin (mg/dL) | 2.8 (2.3–3.2) | 2.7 (2.0–2.9) | 0.115 |
Procalcitonin (ng/mL) | 0.2 (0.1–0.5) | 0.4 (0.2–1.6) | 0.121 |
Lactate dehydrogenase (U/L) | 440.0 (381.0–618.5) | 494.0 (424.0–552.0) | 0.884 |
Aspartate transaminase (IU/L) | 38.0 (25.0–86.5) | 40.0 (29.0–59.0) | 0.860 |
Alanine transferase (IU/L) | 22.0 (14.5–58.0) | 27.0 (18.0–43.0) | 0.488 |
Creatine kinase (IU/L) | 61.0 (28.5–305.5) | 102.0 (55.0–274.0) | 0.355 |
Cholesterol (mg/dL) | 127.0 (85.5–159.0) | 87.0 (73.0–104.0) | 0.043 |
Amylase (U/L) | 58.0 (51.5–89.0) | 56.0 (32.0–122.0) | 0.725 |
Lipase (U/L) | 27.5 (19.0–127.0) | 32.0 (20.0–67.0) | 0.750 |
Uric acid (mg/dL) | 2.6 (1.8–3.5) | 2.1 (1.5–4.6) | 0.753 |
Creatine kinase-myocardial band (mg/mL) | 1.8 (1.2–4.5) | 2.7 (1.2–3.8) | 0.993 |
Troponin-I (pg/mL) | 27.8 (11.3–60.0) | 93.9 (28.2–369.7) | 0.082 |
Brain natriuretic peptide (pg/mL) | 31.0 (16.9–100.8) | 76.1 (28.4–290.3) | 0.083 |
Glucose (mg/dL) | 251.5±73.6 | 244.3±89.3 | 0.782 |
Values are presented as median (interquartile range) or mean±standard deviation..
Cr eGFR, creatinine estimated glomerular filtration rate..
Table 3 details data on the initial mode of ECMO, its duration, any changes in mode, concomitant management of CRRT, and complications such as pneumothorax, bleeding, and limb ischemia. Bleeding complications were defined as a drop in hemoglobin of 1 g/dL, the need for transfusion of more than 1 pack of red blood cells, or the requirement for surgical repair due to bleeding at the intervention site. These complications could occur in the nasopharyngeal, gastrointestinal, and urinary tracts. Intracranial bleeding was also considered a bleeding event, regardless of its severity. Initially, veno-venous ECMO was initiated in 12 (80.0%) of the 15 patients in the survival group and 42 (84.0%) of the 50 patients in the mortality group. The remaining patients began with veno-arterial ECMO. The femoro-femoral cannulation approach was used for all veno-arterial ECMO cases. The majority of veno-venous ECMO cases involved either femoro-jugular (35 of 54 patients, 66.7%) or femoro-femoral (18 of 54 patients, 33.3%) cannulation. One patient who received veno-venous ECMO underwent femoro-axillary cannulation.
Table 3 . Extracorporeal membrane oxygenation data.
Variable | Survival (n=15) | Mortality (n=50) | p-value |
---|---|---|---|
Initial ECMO mode | 0.706 | ||
Veno-venous | 12 (80.0) | 42 (84.0) | |
Veno-arterial | 3 (20.0) | 8 (16.0) | |
ECMO duration (day) | 21.0 (18.5–32.5) | 41.5 (22.0–60.0) | 0.009 |
ECMO mode change | 1 (6.7) | 28 (56.0) | 0.002 |
Continuous renal replacement therapy | 4 (26.7) | 47 (94.0) | <0.001 |
Complication | |||
Pneumothorax | 1 (6.7) | 17 (34.0) | 0.049 |
Bleeding | 0 | 15 (30.0) | 0.014 |
Limb ischemia | 1 (6.7) | 1 (2.0) | 0.411 |
Values are presented as number (%) or median (interquartile range)..
ECMO, extracorporeal membrane oxygenation..
Six patients required a second round of ECMO treatment, comprising 1 individual from the survival group and 5 who did not survive. Additionally, 5 patients underwent lung transplantation, 1 of whom survived.
During ECMO management, a change in the ECMO mode was required for 29 patients (44.6%) due to either RV failure or septic shock. Of these 29 patients, 5 transitioned from veno-venous ECMO to Oxy-RVAD, while 22 were switched to veno-arterial-venous ECMO (17 from veno-venous ECMO and 5 from veno-arterial ECMO). The remaining 2 patients were transitioned from veno-venous ECMO to veno-arterial ECMO (Fig. 1).
In the univariate analyses, several factors were found to be significantly associated with mortality, including age (odds ratio [OR], 1.07; 95% confidence interval [CI], 1.01–1.13; p=0.0327), ECMO duration (OR, 1.05; 95% CI, 1.01–1.09; p=0.0149), the requirement of an ECMO mode change (OR, 17.82; 95% CI, 2.17–146.12; p=0.0073), platelet count (OR, 0.99; 95% CI, 0.98–1.00; p=0.0079), and concomitant CRRT (OR, 43.08; 95% CI, 8.4–220.9; p<0.0001) (Table 4). Subsequently, a multivariable logistic regression analysis was conducted to identify independent predictors of mortality. This analysis revealed that the need for an ECMO mode change and CRRT were significantly associated with mortality (Table 5).
Table 4 . Univariate logistic regression analysis for mortality risk factors.
Characteristic | OR (95% CI) | p-value |
---|---|---|
Age | 1.07 (1.01–1.13) | 0.0327 |
ECMO mode change | 17.82 (2.17–146.12) | 0.0073 |
ECMO duration | 1.05 (1.01–1.09) | 0.0149 |
Platelet count | 0.99 (0.98–1.00) | 0.0079 |
Cholesterol | 0.99 (0.98–1.00) | 0.0628 |
CRRT initiation | 43.08 (8.4–220.9) | <0.0001 |
Pneumothorax | 7.21 (0.87–59.57) | 0.0666 |
OR, odds ratio; CI, confidence interval; ECMO, extracorporeal membrane oxygenation; CRRT, continuous renal replacement therapy..
Table 5 . Multivariable logistic regression analysis for mortality risk factors.
Characteristic | OR (95% CI) | p-value |
---|---|---|
Age | 1.11 (0.99–1.25) | 0.0762 |
ECMO mode change | 366.77 (1.92–69911.92) | 0.0275 |
ECMO duration | 1.14 (0.97–1.34) | 0.1064 |
Platelet count | 0.98 (0.96–1.00) | 0.0828 |
CRRT | 139.15 (1.95–9910.14) | 0.0233 |
OR, odds ratio; CI, confidence interval; ECMO, extracorporeal membrane oxygenation; CRRT, continuous renal replacement therapy..
Kaplan-Meier survival analysis was performed to assess the outcomes of all patients (Fig. 2). To evaluate the impact of changes in ECMO configuration on mortality risk, we conducted additional assessments.
During the early stages of treating patients with COVID-19 using ECMO, concerns were raised over the high mortality rate and unfavorable patient prognosis observed [13,14]. To enhance patient outcomes, experts shared their knowledge and experiences, which resulted in improved management strategies. Extensive research has been undertaken to pinpoint the primary risk factors linked to ECMO treatment in patients with COVID-19. Several studies have consistently identified older age as a risk factor for mortality [5,8,11,12].
Platelets, while primarily known for their role in hemostasis, also have critical functions in inflammation and host defense responses [15]. Consequently, the platelet count is associated with mortality among critically ill patients, including those undergoing ECMO treatment for COVID-19 [11,16,17]. Kieninger et al. [11] observed a significant difference in the mean platelet count, with mortality group exhibiting lower platelet counts than survival group both before and during veno-venous ECMO management. Similarly, Zaaqoq et al. [17] compared the time-group interaction for platelet count during the first 7 days of ECMO management between survival and mortality groups, finding that the platelet count was significantly lower in mortality group. The precise mechanism causing thrombocytopenia in patients with COVID-19 is not yet fully understood, but several theories have been proposed. Specifically, inflammation can cause tissue damage and endothelial dysfunction, triggering the activation of a coagulation cascade and causing platelet activation and consumption [16,17]. Furthermore, since the lungs may contribute to platelet production, lung damage could result in a production decrease. The formation of thrombi at the site of injury can also contribute to the consumption of platelets and megakaryocytes [15,18].
In line with prior research, significant differences were found in age and platelet count between the survival and mortality groups. However, these associations did not reach statistical significance in the multivariable analysis. The limited sample size of this study could account for these inconclusive findings. Consequently, studies with larger sample sizes, such as multicenter studies or meta- analyses, are necessary.
Acute renal failure necessitating CRRT has been identified as a risk factor for mortality in patients with COVID-19 who receive ECMO [8,17]. In line with this finding, our observations revealed a significantly higher rate of CRRT initiation in mortality group than in survival group (94% versus 26.7%, respectively; p<0.001). Multivariate analysis additionally demonstrated that CRRT was an independent predictor of mortality. Notably, as highlighted in the previously mentioned studies, CRRT should not be considered a direct cause of death. Rather, it serves as an indicator of critical illness and is associated with relatively poor prognosis in these patients.
Notably, we found that the requirement of a change in ECMO mode was associated with mortality, a finding not previously reported. The primary drivers for changes in ECMO mode were RV failure and septic shock. However, other factors such as worsening infection and inflammation, along with multiple organ failure, could contribute to the necessity for an ECMO mode change. Consequently, it is challenging to determine whether the change in ECMO mode itself directly impacts mortality. This observation can be interpreted in the context of patients with acute renal failure who require CRRT. Both changes in ECMO mode and the need for CRRT reflect the complexity and severity of the patient’s condition, highlighting the importance of close monitoring and early intervention in the management of critically ill patients.
Previous studies have reported a range of 3 to 7 days for the duration of mechanical ventilation prior to the initiation of ECMO [3,8,11,19]. Makhoul et al. [8] and Kieninger et al. [11] found that mortality group experienced a longer duration of mechanical ventilation, and a meta-analysis by Tran et al. [12] suggested that a longer period might be associated with increased mortality. However, our study did not reveal a significant difference in the pre-ECMO duration of mechanical ventilation between the survival and mortality groups, with durations of 1 day (IQR, 0.0–1.5) and 2 days (IQR, 1.0–8.0), respectively. Furthermore, we observed a shorter interval between intubation and cannulation in our patient cohort compared to previous studies. Among the 65 patients included in our analysis, 35 (53.8%) underwent cannulation within 48 hours of intubation, and 17 were cannulated on the same day. These findings can be interpreted in several ways. First, our patient cohort, including those with COVID-19, primarily consisted of referred patients. During the study period, 36 of 65 patients (55.4%) were transferred from surrounding hospitals. Due to a national shortage of resources, including equipment for ECMO, mechanical ventilators, isolation rooms, protective devices, and human resources, hospitals without specialized centers had to delay patient transfers as long as possible, necessitating rapid intervention upon arrival. As a result, approximately half of the patients referred for ECMO insertion were transferred within 24 hours of intubation. In addition, the rapid progression of COVID-19 may have contributed to the short interval between intubation and cannulation. To fully understand the factors contributing to this quick deterioration, multi-institutional studies are required. Future research should explore whether this pattern is specific to Asian populations, as most previous studies have focused on American and European populations, or whether it is associated with a specific variant. This is particularly relevant given the rapid increase in COVID-19 cases in Korea following the emergence of the Omicron variant.
In 2014, we published a report detailing similar outcomes for veno-venous ECMO in patients with acute respiratory failure, revealing a mortality rate of 32.3%. Concurrently, the mortality rate for patients with non–COVID-19– related acute respiratory failure who required any form of ECMO, including veno-arterial ECMO, was approximately 57.6% (19/33) [20]. However, in this current study, the in-hospital mortality rate for patients with COVID-19 who were supported by ECMO (76.9%) exceeded both this pre-pandemic mortality rate and the mortality rates previously reported for COVID-19 patients receiving ECMO (37%–55%) [8,21]. Most prior studies have primarily been focused on patients receiving veno-venous ECMO support. According to the updated 2021 Guidelines of the Extracorporeal Life Support Organization, limited data are available on veno-arterial ECMO for COVID-19, and pre-pandemic data indicate higher mortality rates associated with veno-arterial ECMO compared to veno-venous ECMO [6]. In our patient cohort, 11 patients (16.9%) were initially put on veno-arterial ECMO, and 29 patients required a change in ECMO mode, suggesting a critically ill state. Furthermore, 18 patients were registered for lung transplantation, but only 5 received a donor lung, while 13 (representing 26% of all deaths) died while on the waiting list. The high mortality rate observed in our study may be attributed to a combination of factors, including patient characteristics requiring circulatory support, limited resources (including a shortage of organs) during the pandemic, and the potentially aggressive nature of the viral infection.
This study has some limitations. First, the research design was retrospective, and the study was conducted at a single center, potentially limiting the generalizability of the findings to a broader population. Second, the sample size was relatively small, which may have affected the statistical power and precision of the results.
In conclusion, changes in ECMO mode due to RV failure and/or septic shock, as well as CRRT—which represent critical conditions—were found to be associated with mortality in patients with COVID-19 supported by ECMO. Patients exhibiting these factors necessitate careful monitoring for adverse outcomes. Further research, preferably in the form of larger multicenter studies, is needed to confirm the uncertain results of this study, particularly in relation to platelet count and age. These findings, along with future endeavors to identify other factors that could influence patient outcomes, may aid in refining patient selection and management strategies. This could ultimately improve outcomes for critically ill patients with COVID-19 who require ECMO intervention.
Author contributions
Conceptualization: HSK. Data curation: SK. Formal analysis: SK, JHL, HHK. Investigation: SK. Methodology: JHL, HHK, HSK. Project administration: HSK. Visualization: SK, JHL. Writing–original draft: SK. Writing–review & editing: all authors. Final approval of the manuscript: JHL, HHK, KIK, HSK.
Conflict of interest
No potential conflict of interest relevant to this article has been reported.
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Table 1 . Demographics of patients with COVID-19 managed with ECMO.
Characteristic | Survival (n=15) | Mortality (n=50) | p-value |
---|---|---|---|
Age (yr) | 52.0 (47.5–61.5) | 64.0 (60.0–68.0) | 0.016 |
Male | 8 (53.3) | 30 (60.0) | 0.872 |
Body mass index (kg/m2) | 26.2 (23.4–29.2) | 24.4 (22.9–26.5) | 0.269 |
Body surface area (m2) | 1.7 (1.6–1.9) | 1.8 (1.7–1.9) | 0.875 |
Transferred | 5 (33.3) | 31 (62.0) | 0.096 |
COVID-19 to admission (day) | 0.0 (0.0–7.0) | 1.0 (0.0–5.0) | 0.741 |
COVID-19 to mechanical ventilation (day) | 9.0 (3.5–12.0) | 9.0 (1.0–13.0) | 0.953 |
COVID to ECMO (day) | 11.0 (6.5–20.0) | 14 (3.0–22.0) | 0.646 |
Mechanical ventilation to ECMO (day) | 1.0 (0.0–1.5) | 2.0 (1.0–8.0) | 0.066 |
Follow-up duration (day) | 405.0 (341.0–613.5) | 45.5 (23.0–65.0) | <0.001 |
Hypertension | 8 (53.3) | 23 (46.0) | 0.838 |
Diabetes | 6 (40.0) | 18 (36.0) | 1.000 |
Chronic kidney disease | 1 (6.7) | 3 (6.0) | 1.000 |
pH before ECMO | 7.3 (7.3–7.4) | 7.3 (7.3–7.4) | 0.824 |
PaO2 before ECMO (mm Hg) | 73.8 (61.8–91.9) | 69.0 (56.1–84.8) | 0.354 |
PaCO2 before ECMO (mm Hg) | 46.6 (40.4–49.9) | 43.8 (37.0–55.5) | 0.969 |
P/F ratio before ECMO | 74.8 (63.5–96.0) | 68.1 (56.1–85.9) | 0.285 |
Sepsis-related organ failure assessment | 10.5±2.3 | 11.1±3.1 | 0.489 |
Simplified acute physiological score | 58.3±16.8 | 61.4±13.9 | 0.501 |
Respiratory ECMO survival prediction | 0.014 | ||
1 | 2 (15.4) | 3 (7.9) | |
2 | 9 (69.2) | 15 (39.5) | |
3 | 0 | 16 (42.1) | |
4 | 2 (15.4) | 4 (10.5) | |
ECMO weaning success | 15 (100.0) | 7 (14.0) | <0.001 |
Values are presented as median (interquartile range), number (%), or mean±standard deviation..
COVID-19, coronavirus disease 19; ECMO, extracorporeal membrane oxygenation; PaO2, partial pressure of arterial oxygen; PaCO2, partial pressure of arterial carbon dioxide; P/F, partial pressure of arterial oxygen/inspired fraction of oxygen..
Table 2 . Laboratory data after extracorporeal membrane oxygenation initiation.
Variable | Survival (n=15) | Mortality (n=50) | p-value |
---|---|---|---|
White blood cell (×103/µL) | 15.4 (11.9–22.6) | 12.5 (9.3–18.2) | 0.139 |
Hemoglobin (d/dL) | 11.1±2.7 | 10.8±2.1 | 0.669 |
Platelet (×103/µL) | 257.0 (208.0–312.5) | 159.0 (134.0–189.0) | <0.001 |
C-reactive protein (mg/L) | 125.9 (64.9–170.6) | 107.1 (65.3–156.5) | 0.839 |
Blood urea nitrogen (mg/dL) | 16.1 (13.4–29.8) | 24.4 (15.4–34.4) | 0.080 |
Creatinine (mg/dL) | 0.9 (0.5–1.2) | 0.8 (0.6–1.4) | 0.926 |
Cr eGFR (mL/min/1.73 m2) | 84.0 (58.0–90.0) | 90.0 (47.0–90.0) | 0.580 |
Albumin (mg/dL) | 2.8 (2.3–3.2) | 2.7 (2.0–2.9) | 0.115 |
Procalcitonin (ng/mL) | 0.2 (0.1–0.5) | 0.4 (0.2–1.6) | 0.121 |
Lactate dehydrogenase (U/L) | 440.0 (381.0–618.5) | 494.0 (424.0–552.0) | 0.884 |
Aspartate transaminase (IU/L) | 38.0 (25.0–86.5) | 40.0 (29.0–59.0) | 0.860 |
Alanine transferase (IU/L) | 22.0 (14.5–58.0) | 27.0 (18.0–43.0) | 0.488 |
Creatine kinase (IU/L) | 61.0 (28.5–305.5) | 102.0 (55.0–274.0) | 0.355 |
Cholesterol (mg/dL) | 127.0 (85.5–159.0) | 87.0 (73.0–104.0) | 0.043 |
Amylase (U/L) | 58.0 (51.5–89.0) | 56.0 (32.0–122.0) | 0.725 |
Lipase (U/L) | 27.5 (19.0–127.0) | 32.0 (20.0–67.0) | 0.750 |
Uric acid (mg/dL) | 2.6 (1.8–3.5) | 2.1 (1.5–4.6) | 0.753 |
Creatine kinase-myocardial band (mg/mL) | 1.8 (1.2–4.5) | 2.7 (1.2–3.8) | 0.993 |
Troponin-I (pg/mL) | 27.8 (11.3–60.0) | 93.9 (28.2–369.7) | 0.082 |
Brain natriuretic peptide (pg/mL) | 31.0 (16.9–100.8) | 76.1 (28.4–290.3) | 0.083 |
Glucose (mg/dL) | 251.5±73.6 | 244.3±89.3 | 0.782 |
Values are presented as median (interquartile range) or mean±standard deviation..
Cr eGFR, creatinine estimated glomerular filtration rate..
Table 3 . Extracorporeal membrane oxygenation data.
Variable | Survival (n=15) | Mortality (n=50) | p-value |
---|---|---|---|
Initial ECMO mode | 0.706 | ||
Veno-venous | 12 (80.0) | 42 (84.0) | |
Veno-arterial | 3 (20.0) | 8 (16.0) | |
ECMO duration (day) | 21.0 (18.5–32.5) | 41.5 (22.0–60.0) | 0.009 |
ECMO mode change | 1 (6.7) | 28 (56.0) | 0.002 |
Continuous renal replacement therapy | 4 (26.7) | 47 (94.0) | <0.001 |
Complication | |||
Pneumothorax | 1 (6.7) | 17 (34.0) | 0.049 |
Bleeding | 0 | 15 (30.0) | 0.014 |
Limb ischemia | 1 (6.7) | 1 (2.0) | 0.411 |
Values are presented as number (%) or median (interquartile range)..
ECMO, extracorporeal membrane oxygenation..
Table 4 . Univariate logistic regression analysis for mortality risk factors.
Characteristic | OR (95% CI) | p-value |
---|---|---|
Age | 1.07 (1.01–1.13) | 0.0327 |
ECMO mode change | 17.82 (2.17–146.12) | 0.0073 |
ECMO duration | 1.05 (1.01–1.09) | 0.0149 |
Platelet count | 0.99 (0.98–1.00) | 0.0079 |
Cholesterol | 0.99 (0.98–1.00) | 0.0628 |
CRRT initiation | 43.08 (8.4–220.9) | <0.0001 |
Pneumothorax | 7.21 (0.87–59.57) | 0.0666 |
OR, odds ratio; CI, confidence interval; ECMO, extracorporeal membrane oxygenation; CRRT, continuous renal replacement therapy..
Table 5 . Multivariable logistic regression analysis for mortality risk factors.
Characteristic | OR (95% CI) | p-value |
---|---|---|
Age | 1.11 (0.99–1.25) | 0.0762 |
ECMO mode change | 366.77 (1.92–69911.92) | 0.0275 |
ECMO duration | 1.14 (0.97–1.34) | 0.1064 |
Platelet count | 0.98 (0.96–1.00) | 0.0828 |
CRRT | 139.15 (1.95–9910.14) | 0.0233 |
OR, odds ratio; CI, confidence interval; ECMO, extracorporeal membrane oxygenation; CRRT, continuous renal replacement therapy..