Startseite Outcomes in early term neonates requiring extracorporeal membrane oxygenation
Artikel Open Access

Outcomes in early term neonates requiring extracorporeal membrane oxygenation

  • Sourabh Verma EMAIL logo , Bryn H. S. Seltzer , Jason C. Fisher und Erin Cicalese ORCID logo
Veröffentlicht/Copyright: 20. Oktober 2025

Abstract

Objectives

To evaluate ECMO-related morbidity and mortality between Early-term (ET) and Full-term (FT) infants.

Methods

We performed a retrospective review of 3,831 neonatal ECMO runs for meconium aspiration syndrome (MAS) and/or persistent pulmonary hypertension of the newborn (PPHN) in the Extracorporeal Life Support Organization (ELSO) Registry from 2007 to 2017. Neonates born at 370/7–386/7 weeks were classified as ET and those born at 390/7–406/7 weeks were classified as FT. Primary outcomes were ECMO survival and survival to discharge. Secondary outcomes were complications while on ECMO. Data were analyzed using Mann-Whitney U and Fisher’s Exact testing. Logistic regression was performed to assess odds of ECMO survival for factors noted to be significantly different between groups.

Results

Of 2,551 infants who met inclusion criteria based on gestational age, we identified 805 (32 %) ET and 1,746 (68 %) FT infants. ET infants had significantly lower ECMO survival (90 vs. 94 %, p<0.01) and survival to discharge (80 vs. 88 %, p<0.01), more neurologic complications on ECMO (15 vs. 12 %, p=0.024), and increased need for hemofiltration (33 vs. 29 %, p=0.033). There were no statistically significant differences between groups in mechanical, hemorrhagic, infectious, metabolic, renal, pulmonary, limb, or cardiovascular complications while on ECMO. Multiple logistic regression showed that ET gestational age, development of neurologic complications on ECMO, and need for hemofiltration are independent negative predictors of ECMO survival.

Conclusions

ET gestational age is an independent risk factor for worse ECMO outcomes and survival in comparison to FT infants, highlighting the vulnerability of this population.

Introduction

Gestational age is a key determinant of survival and developmental outcomes in newborns. Accurately classifying gestational age has important implications for obstetric and neonatal management, as well as for public understanding of the optimal time for delivery [1]. Historically, term gestation has been defined as 370/7 to 416/7 weeks [2], and it is well established that infants born prematurely, at less than 37 weeks of gestation, have worse overall health outcomes [3]. There is increasing evidence from population health research that infants born at the earlier end within term period, referred to as early term (ET), are also at significant risk for lower survival, impaired growth, and worse neurodevelopmental outcomes than counterparts born at the later end within term period [4], [5], [6], [7], [8], [9]. Recognizing this, in 2013 (and reaffirmed in 2022) the American College of Obstetricians and Gynecologists (ACOG) suggested subclassifying term gestation into ET, defined as 370/7 to 386/7 weeks; full term (FT), defined as 390/7 to 406/7 weeks; and late term, defined as 410/7 to 416/7 weeks of gestation [10]. This subclassification is useful when counseling families, managing patients, and planning future research. This is increasingly relevant considering that the number of ET deliveries has risen significantly in recent years. Data from the National Vital Statistics System published in January 2024 shows there was a 20 % increase in ET deliveries in the United States, increasing from 24 % in 2014 to 29 % in 2022. There was additionally a 12 % increase in premature deliveries and a 6 % decrease in FT deliveries during this time [11]. After a decade of decline [12], this increase in premature and ET births and poor outcomes in ET infants compared to FT counterparts is an alarming and expensive public health issue. While the adverse outcomes associated with ET birth are well documented in general neonatal populations [4], [5], [6], [7], [8], [9], the implications for high-risk interventions such as extracorporeal membrane oxygenation (ECMO) in this group are unclear particularly when compared to FT counterparts.

There are favorable ECMO outcomes in neonates with respiratory conditions like meconium aspiration syndrome (MAS) and/or persistent pulmonary hypertension of the newborn (PPHN), with reported survival around 83 % for neonates undergoing ECMO for respiratory indications as per the latest summary report from the Extracorporeal Life Support Organization (ELSO) Registry [13]. Though it is widely accepted that infants with MAS and/or PPHN have very favorable outcomes among neonates requiring ECMO, it is unknown how ET infants fare compared to FT infants. In 2011 Ramachandrappa et al. published a review of ELSO Registry data from 1986 to 2006 comparing mortality in premature, ET, and ‘term’ infants on ECMO for respiratory indications. They found ECMO mortality to be the highest in premature infants and higher in ET infants than the ‘term’ group [14]. However, the authors defined ‘term’ as 390/7 to 426/7 weeks gestation which differs from the currently recommended ACOG subclassification of term gestation which was put out in 2013 and reaffirmed in 2022 [10]. Additionally, since the Ramachandrappa et al. publication, medical management of MAS and PPHN has improved with more common use of surfactant, inhaled nitric oxide, and alternative ventilator strategies such as high frequency oscillator use in eligible infants [15]. Given this, we carried out a retrospective comparative study of 10 years of ELSO Registry data with the aim of characterizing ECMO survival and outcomes between ET and FT neonates requiring ECMO for MAS and/or PPHN using the modern gestational age subclassification from ACOG in a post-surfactant era ECMO cohort. We hypothesized that ET infants would have lower ECMO survival and higher complication rates compared to FT infants, despite improvements in neonatal care over the past decade.

Methods

The ELSO Registry was queried for all neonates who received ECMO for MAS and/or PPHN between 2007 and 2017. We analyzed respiratory ECMO runs for all newborns less than 28 days old who required ECMO with a primary diagnosis of MAS and/or PPHN based on select ICD-9 (770.1, 763.84, 777.1, 770.11, 770.12, 747.89, 747.83, 416.0) and ICD-10 (P24.9, P03.82, P03.82, P24.00, P24.01, Q28.8, P29.3, I27.0) codes in this retrospective cohort. Gestational age was the primary grouping variable: neonates born at 370/7 to 386/7 weeks were classified as ET and those born at 390/7 to 406/7 weeks were classified as FT in accordance with the current ACOG recommendation for the subclassification of term gestational age [10]. In order to minimize heterogeneity in the sample, patients were excluded if they were born at gestational ages outside of these parameters, received ECMO for cardiac causes or a principal respiratory diagnosis aside from MAS and/or PPHN, received extracorporeal cardiopulmonary resuscitation, or required more than one ECMO run or a change in mode of ECMO. These exclusion criteria were applied to create a homogenous cohort focused solely on term-equivalent neonates undergoing ECMO for MAS and/or PPHN. The primary outcomes were ECMO survival and survival to hospital discharge. ECMO survival was defined as discontinuation of ECMO due to patient improvement with expected recovery per the ELSO Registry definitions. Survival to discharge was defined as discharged from the hospital alive per the ESLO Registry definitions. Secondary outcomes were complications on ECMO including mechanical, hemorrhagic, cardiovascular, pulmonary, metabolic, infectious, renal, or limb complications as coded by the ELSO Registry definitions (Appendix) [16]. Data were analyzed using Mann-Whitney U testing for continuous variables and Fisher’s Exact test for categorical variables. Multivariate logistic regression was performed to assess odds of ECMO survival in the MAS/PPHN cohort after adjusting for covariates that differed significantly between ET and FT groups. Odds ratios with 95 % confidence intervals were calculated. Model performance was evaluated using Nagelkerke R2 to estimate explained variance. Statistical significance was assumed at p<0.05. Data analyses were performed using the IBM Statistical Package for the Social Sciences (IBM SPSS 25.0, IBM, Armonk, NY). This study did not require review by the NYU Langone Health Institutional Review Board per institutional policy regarding analysis of deidentified data in conjunction with the ELSO Data Use Agreement which authorizes the sending and receiving of deidentified data sets between institutions [17]. This study was carried out in accordance with the Declaration of Helsinki.

Results

A total of 2,551 infants met inclusion criteria. Of these, 805 (32 %) were ET and 1,746 (68 %) were FT. The ET group had significantly lower birth weight and were more likely to be of white race. The ET group had a slightly lower 1-min Apgar score and a slightly higher 5-min Apgar score than the FT group (Table 1). The ET group received less neuromuscular blockade and surfactant administration, had higher age at cannulation, and lower mean airway pressure (Table 2). No other significant differences were noted between groups in baseline characteristics or pre-ECMO clinical variables which are summarized in Tables 1 and 2. Regarding the overall time course, the ET infants had longer time between intubation and ECMO start, and between discontinuation of ECMO and extubation (Table 3).

Table 1:

Baseline characteristics in early term vs. full term infants.

Early term (n=805) Full term (n=1,746) p-Value
Male sexa 438/799 (55 %) 979/1,730 (57 %) NS
Birthweight, kgb 3.2 (2.8–3.6) 3.5 (3.1–3.8) <0.01
1-min Apgar scoreb 6 (3–8) 7 (5–9) <0.01
5-min Apgar scoreb 8 (5–9) 7 (5–8) <0.01
White race 381 (47 %) 726 (42 %) <0.01
  1. aReflects different denominators for cohort owing to missing data points in ELSO Registry. bData presented as median with interquartile range. NS, not statistically significant.

Table 2:

Pre-ECMO clinical variables in early term vs. full term infants.

Early term (n=805) Full term (n=1,746) p-Value
Vasopressors or inotropesa 470/799 (59 %) 1,036/1,719 (60 %) NS
Pre-ECMO hand-bagginga 44/779 (5.6 %) 119/1,678 (7.1 %) NS
Pre-ECMO arresta 57/797 (7.2 %) 126/1,736 (7.3 %) NS
Inhaled nitric oxidea 723/799 (91 %) 1,567/1,719 (91 %) NS
Neuromuscular blockersa 423/799 (53 %) 984/1,719 (57 %) 0.047
Surfactant administration 284/799 (36 %) 703/1,719 (41 %) 0.01
Systemic steroidsa 136/799 (17 %) 249/1,719 (15 %) NS
High frequency ventilationa 607/799 (76 %) 1,309/1,719 (76 %) NS
Age at cannulation, daysb 2 (1–3) 1 (1–3) <0.01
Rate or Hertzb 10 (8–40) 10 (8–40) NS
FiO2b 100 (100–100) 100 (100–100) NS
PIP or AMPb 38 (30–45) 37 (30–45) NS
PEEPb 7 (6–8) 7 (5–8) NS
MeaPb 18 (15–21) 19 (16–22) 0.01
Lowest pre-ECMO pHb 7.21 (7.1–7.31) 7.22 (7.1–7.32) NS
pHb 7.19 ± 0.16 7.19 ± 0.17 NS
PaCO2b 54 (43.5–70) 54 (43–71) NS
PaO2b 37 (29–48) 37 (27.8–47) NS
HCO3−b 21.8 (18.7–24.6) 22 (18.8–25 NS
SaO2b 70 (48–84) 70 (48–83) NS
SBPb 56 (47–67) 55 (46–67) NS
DBPb 36 (29–45) 37 (30–45) NS
Mean BP, mmHgb 44 (36–52) 44 (37–53) NS
  1. aReflects different denominators for cohort owing to missing data points in ELSO Registry. bData presented as medians with interquartile range. NS, not statistically significant; FIO2, fraction of inspired oxygen; PIP, peak inspiratory pressure; AMP, amplitude; PEEP, positive end expiratory pressure; meaP, mean airway pressure; pH, power of hydrogen; PaCO2, arterial partial pressure of carbon dioxide; PaO2, arterial partial pressure of oxygen; HCO3-, bicarbonate; SaO2, oxygen saturation; SBP, systolic blood pressure; DBP, diastolic blood pressure; mean BP, mean arterial blood pressure.

Table 3:

ECMO time course in early term vs. full term infants.

Early term (n=805) Full term (n=1,746) p-Value
Time from intubation to time started on ECMO, ha 35 (18–64.5) 30 (16–54) <0.01
Time off ECMO to extubation, ha 116 (60–209) 99 (51–186) 0.019
Time off ECMO to discharge, ha 456.5 (212–792) 426 (147.5–745) NS
Hours on ECMO, ha 132 (93.8–186) 126 (92–185) NS
  1. aData presented as medians with interquartile range. NS, not statistically significant.

For the primary outcomes, ET infants demonstrated significantly lower ECMO survival (90 vs. 94 %, p<0.01) and survival to discharge (80 vs. 88 %, p<0.01) compared to FT infants. Among secondary outcomes, ET infants had significantly higher rates of neurologic complications on ECMO (15 vs. 12 %, p=0.024), and increased need for hemofiltration (33 vs. 29 %, p=0.033). There were no significant differences observed in rates of mechanical, hemorrhagic, cardiovascular, pulmonary, metabolic, infectious, renal, or limb complications on ECMO between groups (Table 4).

Table 4:

Primary and secondary outcomes in early term vs. full term infants.

Early term (n=805) Full term (n=1,746) p-Value
ECMO survivala 725/802 (90 %) 1,639/1,744 (94 %) <0.01
Survival to dischargea 647 (80 %) 1,530/1,745 (88 %) <0.01
Mechanical complications 230 (29 %) 448 (26 %) NS
Hemorrhagic complications 175 (22 %) 349 (20 %) NS
Cardiovascular complications 372 (46 %) 819 (47 %) NS
Pulmonary complications 54 (6.7 %) 123 (7.0 %) NS
Metabolic complications 139 (17 %) 275 (16 %) NS
Infectious complications 27 (3.4 %) 49 (2.8 %) NS
Neurologic complications 119 (15 %) 201 (12 %) 0.024
Renal complications 181 (23 %) 362 (21 %) NS
Limb complications 0 (0 %) 1 (0.1 %) NS
Need for hemofiltration 265 (33 %) 501 (29 %) 0.033
  1. aReflects different denominator for cohort owing to missing data points in ELSO Registry. NS, not statistically significant.

We constructed a multivariate regression model to identify factors that are independently associated with odds of ECMO survival. Variables noted to be both clinically relevant and statistically different between ET and FT groups in univariate analysis were selected as covariates for the multivariate regression model. Covariates included in the model are gestational age classification (ET and FT), 5-min Apgar score, age at ECMO cannulation, use of neuromuscular blockade, mean airway pressures, neurologic complications, and need for hemofiltration. Our multivariate logistic regression model showed that ET gestational age was an independent negative predictor of ECMO survival (OR=0.65, 95 % CI: 0.47–0.90, p<0.01). Similarly, the need for hemofiltration or development of neurologic complications on ECMO, regardless of gestational age, were independently associated with decreased odds of ECMO survival (OR=0.42, 95 % CI: 0.31–0.58, p<0.001 and (OR=0.19, 95 % CI: 0.13–0.26, p<0.001) respectively (Table 5). All other covariates in the model were not found to independently predict odds of ECMO survival. The model explained 12 % of the variance in ECMO survival (Nagelkerke R2=0.12).

Table 5:

Multiple logistic regression model of ECMO survival in MAS/PPHN cohort

Variable Coefficient, B Odds ratio 95 % confidence interval for odds ratio p-Value
Correlation (Nagelkerke R2) 0.12 = = =
Intercept 3.47 = = =
ET −0.44 0.65 0.47–0.90 <0.01
Need for hemofiltration −0.86 0.42 0.31–0.58 <0.001
Neurologic complications −1.68 0.19 0.13–0.26 <0.001

Discussion

This is the first study presenting a novel, focused analysis of the ELSO Registry comparing ECMO morbidity and survival outcomes between ET and FT newborns with MAS and/or PPHN in a post-surfactant era cohort using the most current ACOG gestational age definitions. We found ET infants had significantly lower ECMO survival and survival to discharge as well as higher rates of neurologic complications and the need for hemofiltration compared to FT infants. These findings highlight a previously underrecognized vulnerability among ET neonates undergoing ECMO. Further, our results are aligned with the growing body of literature showing poorer general outcomes in ET infants [4], [5], [6], [7], [8], [9] and extends the evidence to critically ill neonates receiving ECMO.

Importantly, our multivariate logistic regression model shows that ET gestational age is an independent driver of worse ECMO survival compared to FT gestational age. The model also shows that the need for hemofiltration and the development of neurologic complications on ECMO are both independently associated with worse ECMO survival regardless of gestational age. Although the model shows that requiring hemofiltration or developing neurologic complications on ECMO are each more significant predictors of poor ECMO survival than ET gestational age alone, ET gestational age is still an important negative predictor of ECMO survival. This reflects that ET gestational age is a biologically less resilient state that is particularly vulnerable when there is neonatal respiratory failure. As the number of ET births continue to rise in the United States [11], our study underscores the need to carefully assess the timing of delivery as well as consider gestational maturity as a risk factor in ECMO risk stratification and counseling.

The noted higher incidence of neurologic complications on ECMO in ET infants may be explained by their known central nervous system immaturity and the increased risk of intracranial hemorrhage with decreasing gestational age [18], 19]. Compared to the FT group, the ET group did have a significantly lower mean birth weight (by approximately 300 g) which is expected as birth weight is generally directly correlated with gestational age, though the clinical significance of this small difference in birth weight is unclear. Additionally, the mean birth weights for both the ET and FT groups are considered appropriate for gestational age per the Fenton 2025 Third-generation Preterm Growth Charts for male and female infants [20]. This smaller size may potentially contribute to increased susceptibility to ECMO complications in ET infants, including neurologic injury and renal dysfunction requiring hemofiltration. The increased need for hemofiltration in ET infants could reflect lower baseline renal function associated with lower birth weight [21], however there was no significant difference in renal complications between groups making this less likely as the only explanation. Smaller infants are at higher risk for hemolysis on ECMO [22], however there was no significant difference between groups in metabolic complications which includes hemolysis as per ELSO definitions [16]. In general, while the difference in birth weight with varying gestational age is expected, it still remains a key contributor to risk stratification. It is unclear if the noted worse outcomes in ET infants are due to inherent risk factors associated with lower gestational age and birth weight alone or related to prenatal risk factors that led to earlier delivery. Further studies are needed to evaluate if subtle differences in maturity, body composition, or anthropometric measurements such as birth weight in early term newborns contribute meaningfully to ECMO-related morbidity and mortality.

Apart from discrepancy in birth weight, the ET group had slightly more white subjects, though there was a white race majority in both groups. The slight statistical differences in Apgar scores between ET and FT infants is likely not clinically significant. There were no other significant differences in baseline characteristics between groups, however it is important to note that the ELSO Registry contains limited maternal and prenatal details which limits our ability to report and analyze further demographic information. In reviewing pre-ECMO clinical variables, the ET group received less neuromuscular blockade and surfactant administration, had higher age at cannulation, and lower mean airway pressure compared to the FT group. This suggests that the infants in the ET group may have appeared less critically ill than those in the FT group prior to ECMO cannulation, yet the ET group suffered worse ECMO outcomes and neurologic complications. This raises questions about clinical perceptions and thresholds to administer escalating treatment modalities. The finding that more FT infants received surfactant may reflect concern for more aspiration-related surfactant inactivation in the setting of MAS in the FT group compared to the ET group. Additionally, the ET group may have had less severe parenchymal disease or different underlying etiology of respiratory failure explaining the lower rate of surfactant administration in the ET group. These findings highlight important differences in clinical management patterns. However, since the ELSO Registry database does not contain information on exclusions or decision making processes, further studies are needed to assess how clinicians’ perception and management pathways influence the decision to place an ET infant on ECMO. Compared to the FT group, the ET group was also noted to have a longer time between discontinuation of ECMO and extubation (Table 3) which suggests the infants in this group likely required further management and stabilization once off ECMO compared to FT counterparts. This is consistent with existing evidence that ET infants suffer more respiratory distress than FT counterparts [5] and with the findings of this study showing worse survival to discharge and complications on ECMO.

Notably, this study excluded neonates with other respiratory diagnoses, multiple ECMO runs, and cardiac indications, allowing us to isolate the effects of gestational maturity in a homogeneous clinical population. Previous studies often combined broader gestational categories or less specific diagnoses, limiting the clinical applicability of their findings [15]. In contrast, our study offers a more targeted and generalizable understanding of ECMO outcomes in the specific, high-survival MAS/PPHN group, using contemporary classification and management standards. Limitations of this study include that this is a retrospective review of data from the ELSO Registry database. Although the ELSO Registry represents the largest repository of ECMO data worldwide giving our study a large sample size and generalizability, our analysis is potentially limited by reporting bias and variation in data quality. We are unable to account for variability in management practices that may have occurred over the 10-year study period and across the many institutions that report to the ELSO Registry. We also are limited to analyzing ECMO complications as coded by the ELSO Registry and subclassification of respiratory diagnoses such as MAS vs. PPHN. Therefore we are unable to provide further details on the clinical significance of these complications or perform etiology specific subgroup analyses. Finally, characterizing differences in the long-term outcomes of ET and FT infants who survive ECMO would be of tremendous interest, but these data are not presently available from the ELSO Registry.

Conclusions

This ten-year retrospective analysis of the ELSO Registry revealed that ET infants with MAS and/or PPHN have worse ECMO survival and survival to discharge, and increased neurologic complications and need for hemofiltration than FT infants on ECMO. These novel findings showing ET gestational age as a clear risk factor for poor ECMO survival and outcomes adds to the emerging literature on overall worse health outcomes in ET infants compared to FT counterparts [4], [5], [6], [7], [8], [9] and extends the evidence to critically ill neonates requiring ECMO. Steps should be taken to assess the reasoning behind the increasing trend in ET delivery in the United States [11] and to minimize unnecessary ET deliveries in order to promote best neonatal health outcomes.


Corresponding author: Dr. Sourabh Verma, MD, FAAP, Division of Neonatology, Department of Pediatrics, Hassenfeld Children’s Hospital at NYU Langone, 317 East 34th Street, Suite 902, New York, NY 10016, USA, E-mail:
Sourabh Verma and Bryn H.S. Seltzer share first authorship.

Acknowledgments

We would like to acknowledge Peta Alexander, MD, Chair of the ELSO Registry Scientific Oversight Committee, and Peter Rycus, MPH, Executive Director of ELSO, for their help with facilitating our registry analysis and ensuring the integrity of our study.

  1. Research ethics: The local Institutional Review Board deemed the study exempt from review.

  2. Informed consent: Not applicable.

  3. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  4. Use of Large Language Models, AI and Machine Learning Tools: None declared.

  5. Conflict of interest: The authors state no conflict of interest.

  6. Research funding: None declared.

  7. Data availability: The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.

Appendix: Definitions of ECMO complications per ELSO Registry (as previously published by Cicalese et al. 2024) [16], 23].

Mechanical: Mechanical complications are defined as those requiring intervention, such as change of equipment or circuit components.

Hemorrhagic: Hemorrhagic complications requiring packed red blood cell or whole blood (PRBC) transfusion (>20 mL/kg/calendar day of PRBCs or ≥3 units U PRBCs/calendar day in neonates and pediatrics and ≥3 units PRBCs/calendar day in adults) or other intervention such as surgical or endoscopic intervention.

Neurologic: Patient neurologic complications are central nervous system (CNS) accidents including brain death, seizures, ischemia, infarcts, and hemorrhage.

  1. Brain death: brain death or neurological determination of death

  2. Seizures clinically determined: clinically determined by assessment

  3. Seizures confirmed by electroencephalogram (EEG): Confirmed by (EEG)

  4. CNS diffuse ischemia: computerized tomography (CT) or magnetic resonance imaging (MRI) demonstrating diffuse ischemic changes

  5. CNS Infarction: ultrasound (US), CT, or MRI demonstrating localized ischemic change- Intra/extraparenchymal CNS hemorrhage (US or CT or MRI): May be intraparenchymal, subdural or subarachnoid

  6. Intraventricular CNS hemorrhage: ≥grade 2 intraventricular hemorrhage IVH on US, CT or MRI

  7. Neurosurgical intervention performed: neurosurgical procedure performed during ECMO run (for example intracranial pressure monitor, external ventricular drain, or craniotomy)

Cardiovascular: includes cardiopulmonary resuscitation, cardiac arrhythmias, and tamponade.

Renal: defined by change in creatinine or requirement for renal replacement therapy.

Pulmonary:

  1. Pneumothorax: requiring insertion of chest drain

  2. Pulmonary hemorrhage: requiring PRBC transfusion (>20 milliliter/kilogram/calendar day of PRBCs)

Infectious: Infections are those that occur prior to or during ECMO run.

Metabolic:

  1. Hyperbilirubinemia: for neonatal patients (<28 days) = conjugated bilirubin>20 μmol/L (>1.2 mg/dL). For pediatric (>30 days) or adult patients=total bilirubin>170 μmol/L (>10 mg/dL) or conjugated bilirubin>51 μmol/L (>3 mg/dL), or need for extracorporeal purification for elevated bilirubin

  2. Moderate hemolysis: peak plasma hemoglobin 50–100 mg/dL or 500–1,000 mg/L occurring at least once during ECMO run sustained for at least two consecutive days.

  3. Severe hemolysis: peak plasma hemoglobin >100 mg/dL or>1,000 mg/L occurring at least once during ECMO run sustained for at least two consecutive days or if the level of hemolysis leads to a major component change namely the membrane lung, blood pump or entire circuit.

Limb:

  1. Limb Compartment Syndrome: compartment syndrome occurs when the pressure within a compartment increases, restricting the blood flow to the area and potentially damaging the muscles and nearby nerves. It usually occurs in the legs, feet, arms or hands

  2. Fasciotomy: fasciotomy performed secondary to compartment syndrome from ECMO cannulation (fasciotomy performed during ECMO hospitalization)

  3. Limb amputation: limb amputation secondary to complications from ECMO run (amputation performed during ECMO hospitalization)

  4. Limb ischemia requiring limb reperfusion cannula: post peripheral cannulation, requiring addition of limb reperfusion cannula ≥6 h post cannulation

References

1. Spong, CY. Defining “term” pregnancy: recommendations from the Defining “Term” pregnancy workgroup. JAMA 2013;309:2445–6. https://doi.org/10.1001/jama.2013.6235.Suche in Google Scholar PubMed

2. Fleischman, AR, Oinuma, M, Clark, SL. Rethinking the definition of “term” pregnancy. Obstet Gynecol 2010;116:136–9. https://doi.org/10.1097/aog.0b013e3181e24f28.Suche in Google Scholar PubMed

3. Morniroli, D, Tiraferri, V, Maiocco, G, De Rose, DU, Cresi, F, Coscia, A, et al.. Beyond survival: the lasting effects of premature birth. Front Pediatr 2023;11:1213243. https://doi.org/10.3389/fped.2023.1213243.Suche in Google Scholar PubMed PubMed Central

4. Odd, D, Glover Williams, A, Winter, C, Draycott, T. Associations between early term and late/post term infants and development of epilepsy: a cohort study. PLoS One 2018;13:e0210181. https://doi.org/10.1371/journal.pone.0210181.Suche in Google Scholar PubMed PubMed Central

5. Parikh, LI, Reddy, UM, Männistö, T, Mendola, P, Sjaarda, L, Hinkle, S, et al.. Neonatal outcomes in early term birth. Am J Obstet Gynecol 2014;211:265.e1–11.10.1016/j.ajog.2014.03.021Suche in Google Scholar PubMed PubMed Central

6. Sengupta, S, Carrion, V, Shelton, J, Wynn, RJ, Ryan, RM, Singhal, K, et al.. Adverse neonatal outcomes associated with early-term birth. JAMA Pediatr 2013;167:1053–9. https://doi.org/10.1001/jamapediatrics.2013.2581.Suche in Google Scholar PubMed

7. Stewart, DL, Barfield, WD, Committee on Fetus and Newborn, Cummings, JJ, Adams-Chapman, IS, Aucott, SW, et al.. Updates on an At-Risk population: late-preterm and early-term infants. Pediatrics. 2019;144:e20192760, https://doi.org/10.1542/peds.2019-2760.Suche in Google Scholar PubMed

8. Tita, ATN, Jablonski, KA, Bailit, JL, Grobman, WA, Wapner, RJ, Reddy, UM, et al.. Neonatal outcomes of elective early-term births after demonstrated fetal lung maturity. Am J Obstet Gynecol 2018;219:296.e1–8. https://doi.org/10.1016/j.ajog.2018.05.011.Suche in Google Scholar PubMed PubMed Central

9. Vohr, B. Long-term outcomes of moderately preterm, late preterm, and early term infants. Clin Perinatol 2013;40:739–51. https://doi.org/10.1016/j.clp.2013.07.006.Suche in Google Scholar PubMed

10. ACOG. ACOG Committee Opinion No 579 (reaffirmed 2022) Committee on Gynecologic Practice. Definition of term pregnancy. Obstet Gynecol 2013;122:1139–40. https://doi.org/10.1097/01.AOG.0000438963.23732.80.Suche in Google Scholar PubMed

11. Martin, JA, Osterman, MJK. Shifts in the distribution of births by gestational age: united States, 2014–2022. Natl Vital Stat Rep 2024;73:1–11.10.15620/cdc:135610Suche in Google Scholar

12. Richards, JL, Kramer, MS, Deb-Rinker, P, Rouleau, J, Mortenson, L, Gissler, M, et al.. Temporal trends in late preterm and early term birth rates in 6 high-income countries in North America and Europe and association with clinician-initiated obstetric interventions. JAMA 2016;316:410–9. https://doi.org/10.1001/jama.2016.9635.Suche in Google Scholar PubMed PubMed Central

13. Tonna, JE, Boonstra, PS, MacLaren, G, Paden, M, Brodie, D, Anders, M, et al.. Extracorporeal life support organization registry international report 2022: 100,000 survivors. ASAIO J 2024;70:131–43. https://doi.org/10.1097/mat.0000000000002128.Suche in Google Scholar PubMed PubMed Central

14. Ramachandrappa, A, Rosenberg, ES, Wagoner, S, Jain, L. Morbidity and mortality in late preterm infants with severe hypoxic respiratory failure on extra-corporeal membrane oxygenation. J Pediatr 2011;159:192–8.e3. https://doi.org/10.1016/j.jpeds.2011.02.015.Suche in Google Scholar PubMed PubMed Central

15. Natarajan, CK, Sankar, MJ, Jain, K, Agarwal, R, Paul, VK. Surfactant therapy and antibiotics in neonates with meconium aspiration syndrome: a systematic review and meta-analysis. J Perinatol 2016;36:S49–54. https://doi.org/10.1038/jp.2016.32.Suche in Google Scholar PubMed PubMed Central

16. Extracorporeal Life Support Organization. Registry database definitions document [online]. Available from: https://elso.org/portals/0/files/new%20registry%20elso%20registry%20data%20definitions%202024.pdf [Accessed 15 April 2025].Suche in Google Scholar

17. Extracorporeal Life Support Organization. ELSO policies: policies for data, privacy, and more [online]. Available from: https://www.elso.org/aboutus/policies.aspx [Accessed 15 April 2025].Suche in Google Scholar

18. Mulkey, SB, Plessis, AD. The critical role of the central autonomic nervous system in fetal-neonatal transition. Semin Pediatr Neurol 2018;28:29–37. https://doi.org/10.1016/j.spen.2018.05.004.Suche in Google Scholar PubMed PubMed Central

19. Burtchen, N, Myers, MM, Lucchini, M, Ordonez Retamar, M, Rodriguez, D, Fifer, WP. Autonomic signatures of late preterm, early term, and full term neonates during early postnatal life. Early Hum Dev 2019;137:104817. https://doi.org/10.1016/j.earlhumdev.2019.06.012.Suche in Google Scholar PubMed

20. University of Calgary. Fenton 2025 third generation preterm growth charts; 2025. Available from: https://ucalgary.ca/resource/preterm-growth-chart/preterm-growth-chart.Suche in Google Scholar

21. Crump, C, Sundquist, J, Winkleby, MA, Sundquist, K. Preterm birth and risk of chronic kidney disease from childhood into mid-adulthood: national cohort study. BMJ. 2019;365:l1346, https://doi.org/10.1136/bmj.l1346.Suche in Google Scholar PubMed PubMed Central

22. Dalton, HJ, Cashen, K, Reeder, RW, Berg, RA, Shanley, TP, Newth, CJL, et al.. Hemolysis during pediatric extracorporeal membrane oxygenation: associations with circuitry, complications, and mortality. Pediatr Crit Care Med 2018;19:1067–76. https://doi.org/10.1097/pcc.0000000000001709.Suche in Google Scholar

23. Cicalese, E, Seltzer, BHS, Fisher, JC, Verma, S. Outcomes in neonates receiving therapeutic hypothermia and extracorporeal membrane oxygenation versus extracorporeal membrane oxygenation alone. Am J Perinatol 2025;42:1409–15. https://doi.org/10.1055/a-2499-4712.Suche in Google Scholar PubMed

Received: 2025-05-03
Accepted: 2025-09-26
Published Online: 2025-10-20

© 2025 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

Heruntergeladen am 23.10.2025 von https://www.degruyterbrill.com/document/doi/10.1515/jpm-2025-0235/html
Button zum nach oben scrollen