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Chinese Medical Journal logoLink to Chinese Medical Journal
. 2018 Jun 20;131(12):1436–1443. doi: 10.4103/0366-6999.233946

Extracorporeal Cardiopulmonary Resuscitation in Children of Asia Pacific: A Retrospective Analysis of Extracorporeal Life Support Organization Registry

亚太地区儿童体外心肺复苏: 对体外生命支持组织登记 数据的回顾性分析

Gai-Ling Chen 1, Ye-Ru Qiao 2, Jin-Hui Ma 2, Jian-Xin Wang 1, Fei-Long Hei 2, Jie Yu 2,
PMCID: PMC6006813  PMID: 29893360

Abstract

Background:

Recent advances in extracorporeal membrane oxygenation (ECMO) have led to increasing interest in its use during cardiopulmonary resuscitation (CPR). However, decisions regarding extracorporeal CPR (ECPR) in children are difficult as a result of limited studies, especially in Asia Pacific. The objective of this study was to investigate trends in survival and demographic details for children with ECPR in Asia Pacific recorded in the Extracorporeal Life Support Organization (ELSO) registry from 1999 to 2016 and identify the risk factors associated with in-hospital mortality.

Methods:

The data of children younger than 18 years of age who received ECPR over the past 18 years in Asia Pacific were retrospectively analyzed. The data were extracted from the ELSO registry and divided into two 9-year groups (Group 1: 1999–2007 and Group 2: 2008–2016) to assess temporal changes using univariate analysis. Then, univariate and multiple logistic regression analyses were performed between survivors and nonsurvivors to identify factors independently associated with in-hospital mortality.

Results:

A total of 321 children were included in final analysis, with an overall survival rate of 50.8%. Although survival rates were similar between Group 1 and Group 2 (43.1% vs. 52.5%, χ2 = 1.67, P = 0.196), the median age (1.7 [0.3, 19.2] months for Group 1 vs. 5.6 [0.8, 64.9] months for Group 2, t = −2.93, P = 0.003) and weight (3.7 [3.0, 11.5] kg for Group 1 vs. 6.0 [3.4, 20.3] kg for Group 2, t = −3.14, P = 0.002) of children increased over time, while the proportion of congenital heart disease (75.9% for Group 1 vs. 57.8% for Group 2, χ2 = 6.52, P = 0.011) and cardiogenic shock (36.2% for Group 1 vs. 7.2% for Group 2, χ2 = 36.59, P < 0.001) decreased. Patient conditions before ECMO were worse, while ECMO complications decreased across time periods, especially renal complications. Multiple logistic regression analysis of ECMO complications showed that disseminated intravascular coagulation (DIC), myocardial stunning, and neurological complications were independently associated with increased odds of hospital mortality.

Conclusions:

The broader indications and decreased complication rates make EPCR to be applicated more and more extensive in children in Asia Pacific region. ECMO complications such as myocardial stunning are independently associated with decreased survival.

Keywords: Children, Extracorporeal Cardiopulmonary Resuscitation, Extracorporeal Life Support Organization, Extracorporeal Membrane Oxygenation

INTRODUCTION

Cardiac arrest, as a severe critical illness, is still one of the most common causes of disease-related death in children. It has poor neurological outcomes and a low survival rate, approximately 25% for in-hospital arrests and <10% for out-of-hospital arrests.[1] An observational study from Hill et al.[2] in 1992 reported early emergency bypass performed in children with cardiac arrest. Since then, an increasing number of studies about extracorporeal cardiopulmonary resuscitation (ECPR) have emerged, showing improved survival rates >30%, which might be due to the powerful mechanical pulmonary and circulatory support provided by extracorporeal membrane oxygenation (ECMO).[3,4,5] In 2015, the American Heart Association updated its guidelines for cardiopulmonary resuscitation (CPR) and emergency cardiovascular care and recommended that ECPR might be considered in children suffering in-hospital cardiac arrest with cardiac diagnoses.[6] However, further recommendations and guidelines are absent because of the small number of studies with small sample sizes and narrow diagnoses. Given the rapid expansion of extracorporeal life support (ECLS) worldwide and possible survival benefits in children, more studies in this field are in demand. Moreover, no report has characterized the current situation of ECPR in Asia Pacific. The purposes of this study were to describe the demographic details, diagnosis data, information before and during ECMO support, and clinical outcomes for children with ECPR in Asia Pacific, evaluating their temporal changes and the risk factors associated with in-hospital mortality. This study retrospectively reviewed the data provided by the Extracorporeal Life Support Organization (ELSO) registry and made intensive analyses, focusing on this issue in the Asia Pacific region specifically.

METHODS

Ethical approval

The study was conducted in accordance with the Declaration of Helsinki and was approved by the Ethics Committee of Fuwai Hospital and the ELSO Steering Committee.

Data source

ELSO was founded in 1989 and has maintained the world's largest registry of ECMO use by collecting data from its active centers. In Asia Pacific, 52 centers from 12 countries and regions contribute data to the registry. After approval by the local Institutional Review Boards, centers gather information using a standardized data form voluntarily. Data use agreements between ELSO and member centers allow for the release of limited de-identified datasets for the purpose of scientific research and publication.

Study population and data categorization

ECPR, defined by the registry, means using ECLS as a part of initial resuscitation for cardiac arrest. Patients without cardiac arrest would not be considered, though ECMO is used to maintain stable hemodynamics. In this study, the data of ECPR in Asia Pacific from 1999 to 2016 were retrospectively analyzed and divided into two 9-year groups (Group 1: 1999–2007 and Group 2: 2008–2016) to assess temporal changes in demographics and outcomes. Patients should be younger than 18 years of age. Because only single-run details are recorded in the form of ELSO, patients with ECMO run number equal or larger than 2 were excluded from the study. The variables analyzed in this study included demographic data, diagnosis codes (International Classification of Diseases, 9th or 10th Revision, Clinical Modification), pre-ECMO mechanical ventilation information and arterial blood gas values, pre-ECMO support details, ECMO-related information (duration of ventilation before ECMO, hours of ECMO, pump flow at the 4th and 24th h during ECMO, ECMO complications, and others), and clinical outcomes. Two authors independently reviewed the diagnosis, pre-ECLS support, and complication codes. If there was any inconsistency, the corresponding author checked the original data and made a correction. Since some diagnostic groups were small, we defined two categories, named “congenital heart disease” (including all types of congenital anomalies of heart recorded in the registry) and “cerebrovascular disease” (including intracranial hemorrhage, occlusion and stenosis of cerebral arteries, and transient cerebral ischemia). Complications, including mechanical and physiologic ones, were categorized using unified codes determined by the ELSO registry.

Statistical analysis

The primary outcome measurement was defined as survival to hospital discharge. Demographic data and ECMO-related details were also compared between survivors and nonsurvivors. For categorical variables, data were presented by overall cases (n) and proportions (%) and compared with the Chi-square test or Fisher's exact test, as appropriate. For continuous variables, normality of distribution was assessed by the Kolmogorov-Smirnov test. The normally distributed data were shown as the mean ± standard deviation, and the abnormally distributed data were shown as median (Q1, Q3). Student's t-test or the Mann-Whitney U-test was used to compare two groups, as appropriate. Multiple logistic regression models were established to explore risk factors associated with hospital death. The inclusion criterion of variables in regression models was a P ≤ 0.10 in the bivariate analysis. The first model included demographic and pre-ECLS factors, the second model evaluated ECMO-related factors, and the third model analyzed ECMO complication information. All data were analyzed using SPSS version 23.0 software (IBM, Armonk, New York, USA). The statistical significance was set at a P < 0.05.

RESULTS

Study population

A total of 351 patients younger than 18 years old whose data were contributed to ELSO underwent ECPR from 1999 to 2016 in Asia Pacific. Among them, thirty children whose ECMO run numbers were ≥2 were excluded from later analyses. Finally, 321 children were included in this study. The mean age of the study population was 4.1 (0.7, 58.1) months and 179 (55.8%) were males. Asian patients accounted for 42.7%. The overall survival rate was 50.8% (163/321). The number of ECPR episodes and survival rate per year are presented in Figure 1. Despite the sharp decrease in 2016 (which might be due to delayed reports), an increase in ECPR events could be found from only 1 in 1999 to 48 in 2013. The annual survival rate ranged from 0.0% to 70.4%.

Figure 1.

Figure 1

Annual episodes and survival rates from 1999 to 2016 in this study. ECPR: Extracorporeal cardiopulmonary resuscitation.

Period-based analysis

Table 1 shows the temporal changes in demographic and diagnostic variables between Group 1 (1999–2007; n = 58) and Group 2 (2008–2016; n = 263), as well as information before and during ECMO support. Although the survival rates were similar, the age and weight of children increased over time, accompanied by a smaller proportion of diagnoses of congenital heart disease and cardiogenic shock. Ventilator parameters and arterial blood gas values in the 6 h before ECMO support were worse in Group 2: the respiratory rate, pH, and HCO3 values were significantly lower in Group 2 than those in Group 1. Regarding pre-ECLS support, the use of vasopressor/inotropes, and vasodilator drugs dropped over time, while the use of steroids increased. Duration of ventilation before ECMO was significantly shorter in Group 2 than Group 1 (P < 0.001). The rates of ECMO complications showed an overall decrease over time periods, as expected, including oxygenator failure, surgical site hemorrhage, and dialysis use [Table 2].

Table 1.

Comparison of demographic and clinical characteristics between two 9-year groups in this study

Characteristics Group 1 (n = 58) Group 2 (n = 263) Statistical values P
Age (months) 1.7 (0.3, 19.2) 5.6 (0.8, 64.9) −2.93* 0.003
Weight (kg) 3.7 (3.0, 11.5) 6.0 (3.4, 20.3) −3.14* 0.002
Male 34 (58.6) 145 (55.1) 0.21 0.649
Race (Asian) 28 (48.3) 109 (41.4) 0.55 0.458
Survival at hospital discharge 25 (43.1) 138 (52.5) 1.67 0.196
Diagnosis
 Sepsis 7 (12.1) 13 (4.9) 3.00 0.083
 Arrhythmia 2 (3.4) 29 (11.0) 3.13 0.077
 Cerebrovascular disease 6 (10.3) 10 (3.8) 3.03 0.082
 Acute kidney failure 11 (19.0) 13 (4.9) 13.51 0.001
 Congenital heart disease 44 (75.9) 152 (57.8) 6.52 0.011
 Cardiogenic shock 21 (36.2) 19 (7.2) 36.59 <0.001
Pre-ECLS information
 Ventilator parameters
  Respiratory rate (breath/min) 32 (24, 37) 26 (20, 30) −2.25 0.025
  FiO2 (%) 100 (50, 100) 100 (100, 100) −1.83 0.068
 Arterial blood gas values
  pH 7.3 (7.0, 7.4) 7.1 (7.0, 7.3) −1.98 0.048
  HCO3 (mmol/L) 19.2 (13.0, 23.3) 16.0 (12.0, 21.0) −2.07 0.039
Pre-ECLS support
 Vasopressor/inotropes 55 (94.8) 148 (56.3) 30.38 <0.001
 Vasodilator drugs 18 (31.0) 20 (7.6) 24.99 <0.001
 Bicarbonate 34 (58.6) 90 (34.2) 11.93 0.001
 Steroids 0 (0.0) 34 (12.9) 8.39 0.004
ECMO information
 Duration of ventilation before ECMO (h) 18 (7, 59) 3 (1, 22) −4.78 <0.001
 Time of ECMO (h) 105 (64, 157) 94 (52, 152) −0.74 0.459
 Pump flow at 4th h (ml·kg−1·min−1) 114 (97, 138) 109 (64, 147) −1.11 0.268
 Pump flow at 24th h (ml·kg−1·min−1) 115 (95, 148) 115 (72, 141) −0.97 0.334
 FiO2 at 24th h (%) 40 (21, 50) 40 (30, 50) −1.82 0.068
 PEEP at 24th h (cmH2O) 8 (4, 10) 10 (6, 10) −2.91 0.004
 MAP at 24th h (cmH2O) 11 (9, 12) 12 (10, 13) −2.67 0.008

Data are presented as n (%) or median (Q1, Q3). *t values; χ2 values; Z values. ECLS: Extracorporeal life support; FiO2: Fraction of inspired oxygen; ECMO: Extracorporeal membrane oxygenation; PEEP: Positive end-expiratory pressure; MAP: Mean airway pressure; 1 cmH2O = 0.098 kPa.

Table 2.

Comparison of ECMO complications between two 9-year groups in this study

Items Group 1 (n = 58) Group 2 (n = 263) χ2 P
Mechanical complications
 Oxygenator failure 9 (15.5) 19 (7.2) 4.11 0.043
 Clots in other parts 18 (31.0) 47 (17.9) 5.10 0.024
Hemorrhagic complications
 Cannulation site 12 (20.7) 56 (21.3) 0.01 0.919
 Surgical site 13 (22.4) 28 (10.6) 5.91 0.015
 Hemolysis (PFH >500 mg/L) 29 (50.0) 38 (14.4) 36.37 <0.001
 DIC 4 (6.9) 9 (3.4) 0.72 0.397
Neurological complications
 Brain death 4 (6.9) 12 (4.6) 0.17 0.685
 CNS infarction by US/CT 11 (19.0) 17 (6.5) 9.33 0.002
 CNS hemorrhage by US/CT 2 (3.4) 24 (9.1) 1.37 0.243
Renal complications
 Serum creatinine 15–30 mg/L 19 (32.8) 36 (13.7) 12.17 <0.001
 Dialysis use 9 (15.5) 8 (3.0) 12.36 <0.001
 CAVHD use 6 (10.3) 4 (1.5) 9.51 0.002
Cardiac complications
 Arrhythmia 2 (3.4) 35 (13.3) 4.53 0.033
 Hypertension requiring vasodilators 9 (15.5) 73 (27.8) 3.74 0.053
Other complications
 Culture proven infection 23 (39.7) 44 (16.7) 15.12 <0.001
 Blood glucose <400 mg/L 4 (6.9) 29 (11.0) 0.88 0.349
 Blood glucose >2400 mg/L 26 (44.8) 67 (25.5) 8.65 0.003
 Blood pH <7.2 during ECMO 14 (24.1) 38 (14.4) 3.29 0.070
 Blood pH >7.6 during ECMO 4 (6.9) 25 (9.5) 0.39 0.530

Data are presented as n (%). PFH: Plasma free hemoglobin; DIC: Disseminated intravascular coagulation; CNS: Central nervous system; US: Ultrasonography; CT: Computed tomography; CAVHD: Continuous arteriovenous hemodialysis; ECMO: Extracorporeal membrane oxygenation.

Univariate and multiple logistic regression analyses of survival at hospital discharge

Comparisons of demographic features, diagnostic details, and ECMO-related information between survivors and nonsurvivors are provided in Table 3. Younger age and lower body weight were associated with survival. There was no significant difference in gender between the two groups (P = 0.853), while Asian race was more in nonsurvivors than survivors (P < 0.001). When compared with nonsurvivors, fewer patients suffered from sepsis and cerebrovascular diseases in survivors. Over 60% of survivors received anesthetic and neuromuscular blockers as pre-ECLS support, which was significantly different from nonsurvivors. Respiratory rate and peak inspiratory pressure (PIP) at the 24th h of ECMO support were lower in survivors, compared with nonsurvivors. ECMO complications, including disseminated intravascular coagulation (DIC), myocardial stunning, and neurological complications, were relatively rare in survivors (<10%). Three multiple logistic regression models of risk factors associated with mortality are shown in Table 4. Demographic and pre-ECLS factors (Model I), ECMO-related information (Model II), and ECMO complications (Model III) were evaluated to identify the risk factors associated with in-hospital mortality. Among pre-ECPR variables, Asian race was associated with increased odds of in-hospital mortality, and lower pH value before ECMO support indicated worse outcomes. In the second regression model, higher respiratory rate and PIP at the 24th h were related to lower survival. ECMO complications such as DIC and myocardial stunning confirmed by ultrasound and neurological complications were independently associated with increased odds of in-hospital mortality.

Table 3.

Comparison of demographic and clinical characteristics between survivors and nonsurvivors in this study

Items Survivors (n = 163) Nonsurvivors (n = 158) Statistical values P
Age (months) 2.3 (0.4, 57.2) 7.0 (0.9, 64.0) −2.19* 0.029
Weight (kg) 4.6 (3.1, 16.1) 6.2 (3.5, 22.5) −2.14* 0.032
Male 92 (56.4) 87 (55.4) 0.03 0.853
Race (Asian) 54 (34.0) 83 (54.2) 13.03 <0.001
Diagnosis
 Sepsis 5 (3.1) 15 (9.5) 5.67 0.017
 Cardiomyopathy 10 (6.1) 18 (11.4) 2.79 0.095
 Cerebrovascular disease 4 (2.5) 12 (7.6) 4.48 0.034
 Congenital heart disease 111 (68.1) 85 (53.8) 6.90 0.009
Pre-ECLS information
 Arterial blood gas values
  pH 7.2 (7.0, 7.3) 7.1 (6.9, 7.3) −1.91 0.057
  HCO3 (mmol/L) 17.4 (12.7, 22.0) 16.0 (11.8, 21.0) −1.54 0.124
Pre-ECLS support
 Anesthetic 110 (67.5) 76 (48.1) 12.37 <0.001
 Neuromuscular blockers 112 (68.7) 82 (51.9) 9.49 0.002
 Dobutamine 37 (22.7) 21 (13.3) 4.80 0.029
ECMO information
 Duration of ventilation before ECMO (h) 5 (2, 23) 5 (2, 29) −0.35 0.726
 Time of ECMO (h) 95 (61, 143) 94 (31, 160) −0.55 0.583
 Pump flow at 4th h (ml·kg−1·min−1) 114 (78, 143) 108 (68, 147) −0.32 0.746
 Pump flow at 24th h (ml·kg−1·min−1) 111 (77, 136) 118 (80, 148) −1.29 0.198
 Respiratory rate at 24th h (breath/min) 10 (10, 18) 15 (10, 20) −2.69 0.007
 PIP at 24th h (cmH2O) 20 (20, 24) 22 (20, 25) −2.27 0.023
ECMO complications
 Clots in oxygenator 38 (23.3) 17 (10.8) 8.91 0.003
 Clots in other parts 45 (27.6) 20 (12.7) 11.10 0.001
 DIC 3 (1.8) 10 (6.3) 4.16 0.041
 Brain death 0 (0.0) 16 (10.1) 17.37 <0.001
 CNS infarction by US/CT 7 (4.3) 21 (13.3) 8.16 0.004
 CNS hemorrhage by US/CT 8 (4.9) 18 (11.4) 4.53 0.033
 Vasopressor/Inotropes using during ECLS 78 (47.9) 93 (58.9) 3.91 0.048
 Myocardial stunning by US 1 (0.6) 9 (5.7) 5.29 0.021
 Hypertension requiring vasodilators 53 (32.5) 29 (18.4) 8.46 0.004

Data are presented as n (%) or median (Q1, Q3). *t values; χ2 values; Z values. ECLS: Extracorporeal life support; ECMO: Extracorporeal membrane oxygenation; PIP: Peak inspiratory pressure; DIC: Disseminated intravascular coagulation; CNS: Central nervous system; US: Ultrasonography; CT: Computed tomography; 1 cmH2O = 0.098 kPa.

Table 4.

Multiple regression models of risk factors for in-hospital mortality in children with ECPR

Factors OR (95% CI) P
Model I. Demographic and pre-ECLS factors
 Race (Asian) 2.98 (1.24–7.12) 0.014
 pH 0.27 (0.08–0.88) 0.030
Model II. ECMO related factors
 Respiratory rate at 24th h (breath/min) 1.05 (1.01–1.09) 0.006
 PIP at 24th h (cmH2O) 1.06 (1.00–1.13) 0.050
Model III. ECMO complications
 DIC 4.51 (1.10–18.48) 0.036
 Neurological complications 3.41 (1.87–6.23) <0.001
 Myocardial stunning by US 10.23 (1.20–87.41) 0.034

Model I: n = 247, Hosmer-Lemeshow test, P = 0.569; Model II: n = 274, Hosmer-Lemeshow test, P = 0.592; Model III: n = 321, Hosmer-Lemeshow test, P = 0.411. ECLS: Extracorporeal life support; ECMO: Extracorporeal membrane oxygenation; PIP: Peak inspiratory pressure; DIC: Disseminated intravascular coagulation; US: Ultrasonography; ECPR: Extracorporeal cardiopulmonary resuscitation; OR: Odds ratio; CI: Confidence interval;1 cmH2O = 0.098 kPa.

DISCUSSION

This study retrospectively analyzed data extracted from the ELSO registry to describe changes in the clinical information of patients younger than 18 years who underwent ECPR in Asia Pacific from 1999 to 2016. A total of 321 patients were included in the study. They had an overall survival rate of 50.8%, which was slightly higher than the result of a previous international study (43%).[7] This finding might be attributed to regional disparities in economic and medical status, as well as the inclusion criteria for ECPR. With increases in age and weight and decreases in the proportions of diagnoses of congenital heart disease and cardiogenic shock, it seems that the indications for ECPR are expanding. Burke et al.[8] described the use of EPCR in victims of drowning, and Sawamoto et al.[9] showed the survival benefit of ECPR for patients of hypothermia.[8,9] Despite no apparent advance in survival rate between two groups in this study, the significantly lower pH and HCO3 values before ECMO support in Group 2 might indicate that more patients with complex and severe conditions received ECPR in the latter period. These results were similar to the results of a retrospective study involving 1796 adult patients.[10] Moreover, the decrease in the use of vasoactive drugs might indicate improvements in both technology and experience. It is worth noting that the use of steroids increased over time period. Although there is no consensus about steroid use during CPR, improved survival was not rare among studies worldwide, which could be explained by better hemodynamic stability and less ischemic damage induced by steroids.[11] Longer deployment times of ECMO during CPR have been associated with poor outcomes.[12,13,14,15,16] Medical institutions and clinical doctors have devoted themselves to developing new rapid-response systems to enhance the prognosis of those patients, some of which have shown positive effects.[17,18,19] It is no wonder why we saw a significant decrease in the duration of ventilation time before ECMO from the earlier period to the later one.

In accordance with expectations, the incidence of ECMO complications showed an overall decrease in this study including mechanical, hemorrhagic, neurological, renal, and infection-related complications. In 2010, Palanzo et al.[20] published a brief review about the evolution of ECLS, describing changes in oxygenators, pumps, anticoagulation monitoring, pressure monitoring, the newest circuits, and other factors. The polymethylpentene diffusion membranes, with all the inherent advantages of hollow-fiber membrane oxygenators, eliminated plasma leakage and extended maximum duration. Compared to roller pumps, magnetically levitated centrifugal pumps had better performance in the protection of blood elements and reduction of coagulation system activation. Moreover, advances in circuits allowed for smaller surface area, less priming, easier management, and longer duration. Fewer pediatric formulations of anticoagulation agents, lack of widespread experience, and limited expertise challenged anticoagulation and hemostasis in children. Comparisons should be made to determine the optimal combination of coagulation monitoring parameters to achieve goal-directed anticoagulation management and better clinical outcomes.[21] In this study, we detected significant decreases in neurological and renal complications over time. A previous study reported that central nervous system (CNS) injury could occur in 22% of ECPR patients.[22] Some new therapies, such as active compression/decompression CPR with intrathoracic pressure regulation, heads-up CPR, sodium nitroprusside-enhanced CPR, and postconditioning strategies, have shown promising improvements in animal models as well as in early stages of human trials. Bundling them together could have the potential to bring better neurological survival after cardiac arrest.[23] The insufficiency of renal function might suggest worse outcomes for children receiving ECPR. A retrospective observational study performed by Smith et al.[24] showed that acute renal failure was associated with a significant increase in mortality. Various methods of dialysis, especially peritoneal dialysis, achieved varying degrees of success in ECMO patients.[25,26] Moreover, continuous venovenous hemofiltration could be beneficial to those patients for its tight control of fluid balance and decreased diuretic requirements, as reported by Wolf et al.[27] The decrease in the incidence of renal complications in this study might also be related to enhance circulatory support level and decreased use of vasoactive drugs. High blood glucose has been associated with decreased survival and poor neurological outcomes.[28,29] The improvements in hyperglycemia control during ECPR might improve CNS protection and in-hospital survival, though further study is necessary.

Comparisons were also performed between survivors and nonsurvivors. Asian patients accounted for 42.7% of subjects in this study and showed worse survival compared to other race categorizations. Mosca et al.[30] found that the Hispanic population had reduced survival in venovenous ECMO. Survival differences between racial subgroups and their possible factors are a worthy topic for further studies. Children with congenital heart disease were more likely to survive in this study and in Chan et al.'s report.[31] One possible explanation for this finding was that ECMO was often performed as a transitional method before and after operations, providing a chance of recovery for children. Anesthetic and neuromuscular blockers were more commonly used in the surviving group, which could be related to their more extensive use in children with congenital heart disease as transitional means before operations and their potential protection of the CNS and reduction of stress reactions.[23] In multiple logistic regression analysis, several factors were identified as independent risk factors of in-hospital mortality. Myocardial stunning confirmed by ultrasonography was a strong risk factor in this study (odds ratio: 10.23, 95% confidence interval: 1.20–87.41), in keeping with a previous study by Usui et al.[32]

To our knowledge, this study is the largest and, in fact, the only investigation of ECPR in children in Asia Pacific. There some limitations in this study, which are as follows: (1) it was a retrospective study and the data included were uncontrolled; (2) there has been a sustained increase in active centers in ELSO, and not all ECPR cases in Asia Pacific were included in the registry; (3) only ECPR patients were analyzed, and this study could not assess the role of ECMO during CPR; and (4) it is unknown if the progress of technology and changes in anticoagulation strategy are directly related to the marked decline in mechanical and hemorrhagic complications. Further studies on related topics are required to benefit more patients.

In conclusion, the broader indications and decreased complication rates make EPCR to be applicated more and more extensive in children in Asia Pacific region. ECMO complications such as myocardial stunning are independently associated with decreased survival.

Financial support and sponsorship

This study was supported by the Fund Sponsorship of the Capital Public Health Project (No. Z131100006813006).

Conflicts of interest

There are no conflicts of interest.

Acknowledgments

We received data from the international ELSO. We really appreciate their elaborate work and patient assistance.

Footnotes

Edited by: Xin Chen

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