ORIGINAL RESEARCH article

Front. Med., 22 November 2021

Sec. Intensive Care Medicine and Anesthesiology

Volume 8 - 2021 | https://doi.org/10.3389/fmed.2021.762731

Application of Near-Infrared Spectroscopy to Monitor Perfusion During Extracorporeal Membrane Oxygenation After Pediatric Heart Surgery

  • Department of Thoracic and Cardiovascular Surgery, Shanghai Children's Medical Center, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

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Abstract

Objective: Venoarterial extracorporeal membrane oxygenation is an effective mechanical circulatory support that is used to rescue critically ill patients after congenital heart surgery. As there was still no recommended guideline for monitoring parameters during extracorporeal membrane oxygenation (ECMO), this study aimed to investigate the role of near-infrared spectroscopy (NIRS) in the early period of venoarterial (VA)-ECMO.

Method: This study enrolled patients with NIRS monitoring during ECMO after pediatric cardiac surgery at Shanghai Children's Medical Center (2018–2020). The information obtained from the retrospective, the observational dataset included the demographic information, diagnoses, baseline characteristics, procedural details, ECMO data, monitoring data, in-hospital mortality, and complications of the patients.

Results: The overall mortality rate was 43.6%. Lactate was significantly higher in non-survivors compared to survivors at 12 h (11.25 ± 7.26 vs. 6.96 ± 5.95 mmol/l, p = 0.022) and 48 h [2.2 (0.7, 20) vs. 1.4 (0.7, 5.8) mmol/l, p = 0.008] after initiation of ECMO. The cranial regional oxygen saturation (CrSO2) was significantly higher in survivors compared to non-survivors at 24 h (62.5 ± 14.61 vs. 52.05 ± 13.98%, p = 0.028), 36 h (64.04 ± 14.12 vs. 51.27 ± 15.65%, p = 0.005), and 48 h (65.32 ± 11.51 vs. 55.00 ± 14.18%, p = 0.008). Multivariate logistics regression analysis of the hemodynamic and laboratory parameters revealed that the CrSO2 at 36 h (OR = 0.945, p = 0.049) and 48 h (OR = 0.919, p = 0.032) was related to mortality. The use of continuous renal replacement therapy (OR = 14.940, p = 0.039) was also related to mortality. The optimal cutoff values for CrSO2 for predicting mortality after weaning off ECMO at 36 and 48 h were 57% (sensitivity: 61.5%, specificity: 80%) and 56% (sensitivity: 76.9%, specificity: 70%), respectively. The risk of mortality was higher among patients with a CrSO2(36h) < 57% (p = 0.028) by Kaplan-Meier analysis.

Conclusion: Near-infrared spectroscopy may be a useful tool for monitoring the hemodynamic stability during the early period of ECMO, while CrSO2 can predict the in-hospital mortality after ECMO.

Introduction

Extracorporeal membrane oxygenation is an effective method for the management of refractory cardiogenic shock (1). It is a life-saving procedure in the event of failure of other conventional therapies. Recent advancements in technology have expanded its applications to more complex diseases, including congenital heart disease (CHD) in children. Extracorporeal membrane oxygenation (ECMO) has been used in increasingly complicated cases of pediatric CHD during the early postoperative risk stage after open heart surgery in recent years. It was reported that up to 2–5% of all children undergoing cardiac surgery require mechanical cardiac support with ECMO during the postoperative period (2). Unlike adults, the body weight and blood volume vary over a wide range in children. Therefore, the clinical management of ECMO presents a huge challenge in children.

A variety of hemodynamic monitoring methods, including the pulse contour cardiac output and other invasive monitoring modalities, cannot be applied during the period of ECMO assistance. In 1977, Jobsis first used near-infrared spectroscopy (NIRS) for monitoring cerebral oxygen levels (3). The recent technological advancement in optical instruments and improvement in light propagation in tissues has facilitated the use of multisite NIRS technology for noninvasive and continuous monitoring of oxygen saturation in the brain and body tissue in clinical practice to facilitate real-time monitoring of blood and oxygen supply to the organs (4–6). Traditional monitoring parameters, such as blood pressure, cannot adequately reflect the oxygenation state of the brain and abdominal microcirculation, especially for the non-pulsatile blood flow generated by ECMO. The abnormalities in systemic oxygen balance can be detected through the monitoring of systemic venous oxygen saturation (SvO2), lactic acid, and noninvasive multisite NIRS (7). But the blood gas tests require frequent blood sampling which would cause anemia and cannot realize the real time. Thus, this study aimed to study the noninvasive monitoring parameters during ECMO after pediatric heart surgery related to organ perfusion and mortality and explore the clinical significance of multi-channel NIRS monitoring during the period of ECMO assistance.

Materials and Methods

Study Population

This retrospective study included children who underwent cardiac surgery between January 1, 2018, and December 31, 2020, and was approved by the medical ethics committee of Shanghai Children's Medical Center, School of Medicine, Shanghai Jiaotong University. The cerebral and abdominal oxygenation monitoring data were available for 56 of 124 patients who underwent venoarterial (V-A) ECMO. One patient was found with congenital hypertrophic cardiomyopathy with NIRS monitoring and was excluded. Therefore, a final total of 55 cases were included in this study. The participants were under 18 years of age. Any death occurring before hospital discharge was designated as death after weaning off ECMO. Congenital heart surgery was defined as any surgical procedure for a cardiac defect with or without cardiopulmonary bypass (CPB). ECMO was implemented immediately after surgery in the operating room, after cardiopulmonary resuscitation in the cardiac intensive care unit (CICU), or selectively due to circulatory instability in the CICU.

Data Collection

The information obtained from the retrospective, observational dataset included the demographic information, diagnoses, baseline characteristics, procedural details, ECMO data, monitoring data, in-hospital mortality, and complications of patients. The CICU monitoring indices included blood pressure, central venous pressure (CVP), blood gas, and lactic acid.

Near-infrared spectroscopy monitoring (INVOS5100C, Covidien, USA) was conducted by affixing the head electrode approximately 1 cm above the eyebrow arch on the left or right side to measure the cranial regional oxygen saturation (CrSO2). The abdominal electrode was generally attached above or below the umbilicus to obtain the mesenteric regional oxygen saturation (MrSO2). The electrodes are used according to body weight, that is, <5, 5–40, and ≥40 kg.

ECMO Management

Extracorporeal membrane oxygenation was implanted by a central cannulation way, and a left atrium drainage tube was placed in patients with insufficient intracardial shunting. Arterial blood pressure was maintained within the normal range of mean arterial pressure for different age groups. The pump inlet pressure exceeded −20 mmHg, and the outlet pressure was within 200 mmHg. The activated partial thromboplastin time (APTT), activated clotting time (ACT), and anti-Xa were monitored for anticoagulation. The target ACT value was 140–180 s, and the standard APTT and anti-Xa values were 40–80 s and 0.3–0.8 IU/ml, respectively. The ventilator was set to the pressure-regulated volume control mode with a positive end-expiratory pressure of 10 mmHg, tidal volume of 6–8 ml/kg, and respiratory rate of 10–12 bpm. Enteral nutrition was supplied to patients without obvious contraindications such as gastrointestinal bleeding, storage, or MrSO2 <35%. Diuretics were administered as soon as the ECMO flow was stabilized to prevent fluid overload.

Statistical Analysis

All data were analyzed using SPSS 22.0 (IBM, Armonk, NY, USA). Data with normal distribution were presented as the mean ± SD. Abnormally distributed values were presented as the median and range (minim, max). The medians of the two groups were compared using the Mann-Whitney U test. Categorical data were represented as frequencies and percentages and were evaluated using the chi-squared test. Multivariable logistics regression models explored meaningful variables to predict mortality. The receiver operating characteristic (ROC) was used to determine the cut-off value of the monitoring index to distinguish between survivors and non-survivors. Kaplan-Meier analysis was used to analyze the survival between different subgroups according to the CrSO2. P < 0.05 was considered statistically significant.

Results

Among the 55 patients, there were 16 types of CHD (Table 1). The first three types were transposition of the great arteries (TGA) (n = 10, 18.1%), pulmonary atresia (PA) (n = 6, 10.9%), and double outlet right ventricle (n = 6, 10.9%). Although there were some simple cases of CHD, such as ventricular septum defect, most of these patients had heart dysfunction or extracardiac problems before the procedure. Palliative surgery was performed in 22% of patients, including three patients with Ebstein's malformation, two patients with TGA, two with Tetralogy of Fallot, one with PA with intact ventricular septal, one with PA with VSD, and one patient with a single ventricle.

Table 1

DiagnosisNumber
Transposition of great arteries10
Aortic valve stenosis7
Pulmonary atresia6
Double outlet right ventricle6
Ventricular septum defect5
Interruption of the aortic arch3
Ebstein's malformation3
Mitral stenosis3
Patent ductus arteriosus3
Coarctation of the aorta3
Anomalous left coronary artery from the pulmonary artery2
Tetralogy of Fallot1
Single ventricle1
Total anomalous of pulmonary venous connection1
Complete atrioventricular canal1

Diagnosis of patients with extracorporeal membrane oxygenation (ECMO).

Twenty-four patients died and the overall mortality was 43.6%. The causes of the death included heart failure (n = 7), multiple organ dysfunction (n = 6), residual anatomy (n = 5), pulmonary hypertension (n = 3), brain death (n = 2), and sepsis (n = 1).

No significant differences were observed between the age, sex, CPB time, and aortic cross-clamp (ACC) time of the survivors and non-survivors (Table 2). Significant differences were not observed in the number of patients who underwent different ECMO protocols, i.e., after cardiopulmonary resuscitation (ECPR) (p = 0.214) or in the operating room (OR) (p = 0.595). There was no significant difference in proportion between cyanotic CHD and non-cyanotic CHD (p = 0.551). The ECMO flow was higher among the neonatal non-survivors than that in the survivors (156.73 ± 8.71 vs. 124.48 ± 10.10 ml/kg/min, p = 0.001). But there is no significant difference between the neonates and infants in the CrSO2 (68.23 ± 11.40 vs. 64.93 ± 8.96%, p = 0.402). There were more patients who received continuous renal replacement therapies (CRRT) (p = 0.007). The duration of ECMO was longer in the non-survivor group (p = 0.033). The time required to achieve pulse pressure >10 mmHg was shorter in the survivor group than that in the non-survivor group (38.18 ± 28.95 vs. 59.44 ± 43.10 h, p = 0.044).

Table 2

Total (N = 55)Survivors (N = 31)Non-survivors (N = 24)P
Age (months)3 (0.03, 189.5)3 (0.03, 189.5)2.72 (0.17, 171.33)
Sex (Female/Male)21/3411/2010/140.640
CPB (min)202.14 ± 135.55199.86 ± 131.08205.14 ± 144.280.892
ACC (min)90.96 ± 60.1180.37 ± 51.58106.00 ± 69.170.157
ECPR188100.214
OR2312110.595
Cyanotic/non-cyanotic30/2518/1312/120.551
CRRT8170.007*
ECMO duration (h)112.20 ± 73.4491.74 ± 40.12138.64 ± 96.270.033*
ECMO flow (ml/kg/min)
      Neonates (n = 10)140.61 ± 19.18124.48 ± 10.10156.73 ± 8.710.001*
      Infants /children (45)113.34 ± 28.15112.91 ± 25.75109.20 ± 31.750.668
TΔp (h)45.99 ± 35.9038.18 ± 28.9559.44 ± 43.100.044*

Comparison of the clinical characteristics between survivors and non-survivors.

CPB, cardiopulmonary bypass; ACC, arterial cross-clamp; ECPR, cardiopulmonary resuscitation; OR, operating room; CRRT, continuous renal replacement therapies; TΔp, time to achieve pulse pressure 10 mmHg.

*

p < 0.05.

The changes in monitoring indicators during ECMO are shown in Figure 1. Lactate levels were significantly higher in non-survivors compared to the survivors at 12 h (11.25 ± 7.26 vs. 6.96 ± 5.95 mmol/l, p = 0.022) and 48 h [2.2 (0.7, 20) vs. 1.4 (0.7, 5.8) mmol/l, p = 0.008]. The CrSO2 was significantly higher in survivors compared to non-survivors at 24 h (62.5 ± 14.61 vs. 52.05 ± 13.98%, p = 0.028), 36 h (64.04 ± 14.12 vs. 51.27 ± 15.65%, p = 0.005), and 48 h (65.32 ± 11.51 vs. 55.00 ± 14.18%, p = 0.008) (Figure 1 and Table 3).

Figure 1

Figure 1

Comparing hemodynamic parameters in the first 48 h between survivors and non-survivors during ECMO.

Table 3

Total (N = 55)Survivors (N = 31)Non-survivors (N = 24)P-value
ECMO-12 h
mABP (mmHg)58.56 ± 15.5959.00 ± 12.2658.00 ± 19.340.816
CVP (mmHg)11.38 ± 6.7210.32 ± 4.0612.63 ± 8.820.221
CrSO2 (%)54.68 ± 15.3860.07 ± 15.8749.29 ± 13.310.062
MrSO2 (%)58.11 ± 15.0958.71 ± 14.3457.50 ± 16.320.836
Gc-m (%)5.93 (−18, 30)5.51 (−18,30)6 (−8.8,27)0.927
SvO2 (%)63.34 ± 11.7165.51 ± 1.1060.58 ± 12.400.306
Sa-vO2 (%)32.24 ± 10.2531.94 ± 10.6132.63 ± 10.280.870
Pv-aCO2 (%)12.44 ± 9.9513.68 ± 10.8910.87 ± 8.880.496
Lac (mmol/l)8.74 ± 6.806.96 ± 5.9511.25 ± 7.260.022*
ECMO-24 h
mABP (mmHg)59.98 ± 16.7462.00 ± 14.9957.38 ± 18.760.314
CVP (mmHg)11.68 ± 4.5210.88 ± 3.4012.70 ± 5.550.152
CrSO2 (%)57.41 ± 15.0762.5 ± 14.6152.05 ± 13.980.028*
MrSO2 (%)60.49 ± 14.5962.47 ± 13.4658.39 ± 15.810.402
Gc-m (%)2 (−0.26, 41)−2 (−14, 41)6 (−26, 24)0.499
SvO2 (%)66.16 ± 15.0665.40 ± 11.6167.37 ± 13.090.639
Sa-vO2 (%)30.79 ± 13.5732.23 ± 10.9628.52 ± 17.110.432
Pv-aCO2 (%)13.13 ± 7.4414.46 ± 3.6610.46 ± 3.660.047
Lac (mmol/l)2.8 (0.8, 28)2.3 (0.8, 19)3.4 (0.9, 28)0.107
ECMO-36 h
mABP (mmHg)63.17 ± 15.7664.25 ± 14.6261.26 ± 16.970.449
CVP (mmHg)11.57 ± 3.9011.51 ± 3.5111.65 ± 4.440.897
CrSO2 (%)58.06 ± 16.0464.04 ± 14.1251.27 ± 15.650.005*
MrSO2 (%)60.00 ± 14.3259.60 ± 15.1160.48 ± 13.690.839
Gc-m (%)67.6 (33, 95.4)−3.1 (−22.2, 30.4)8.25 (−20.2, 44.3)0.097
SvO2 (%)69.45 ± 13.2867.48 ± 13.0571.81 ± 13.490.288
Sa-vO2 (%)26.72 ± 18.4027.06 ± 22.0426.32 ± 13.310.896
Pv-aCO2 (%)9.74 ± 4.239.42 ± 3.2710.13 ± 5.220.584
Lac (mmol/l)3.28 ± 4.282.38 ± 1.714.49 ± 6.130.122
ECMO-48 h
mABP (mmHg)63.81 ± 12.3266.07 ± 12.2560.73 ± 12.010.124
CVP (mmHg)11.82 ± 4.3611.71 ± 4.3011.95 ± 4.540.8445
CrSO2 (%)60.61 ± 13.6865.32 ± 11.5155.00 ± 14.180.009*
MrSO2 (%)61.00 ± 18.2363.04 ± 16.8458.45 ± 19.970.407
Gc-m (%)6 (−25, 29)2 (−25, 29)6 (−19, 19)0.987
SvO2 (%)72.94 ± 12.2873.20 ± 11.1572.59 ± 13.990.871
Sa-vO2 (%)25.18 ± 12.3425.20 ± 10.9225.15 ± 14.370.99
Pv-aCO2 (%)10.94 ± 8.6511.35 ± 9.6810.39 ± 7.210.720
Lac (mmol/l)1.7 (0.7, 20)1.4 (0.7, 5.8)2.2 (0.7, 20)0.008*

Comparison between the monitoring parameters of survivors and non-survivors.

mABP, mean arterial blood pressure; CVP, central venous pressure; CrSO2, cranial regional oxygen saturation; MrSO2, mesenteric regional oxygen saturation; Gc-m, gap of CrSO2 and MrSO2(calculated by CrSO2 minus MrSO2); SvO2, mixed venous saturation; Sa-vO2, arteriovenous difference of partial pressure of oxygen; Pv-aCO2, venoarterial difference of partial pressure of carbon dioxide.

*

p < 0.05.

Multivariate logistics regression analysis for the hemodynamic and laboratory parameters revealed that the CrSO2 at 36 h (OR = 0.945, p = 0.049) and 48 h (OR = 0.919, p = 0.032) was related to mortality. Besides, CRRT (OR = 14.940, p = 0.039) was also related to mortality (Table 4).

Table 4

OR95%P
ECMO 12 h
      CrSO2 (%)0.8850.778–1.0070.064
      Lac (mmol/l)0.9690.763–1.2300.795
      CRRT20.2780.709–579.6160.079
      TΔp (h)1.0510.998–1.1060.060
ECMO 24 h
      CrSO2 (%)0.9500.887–1.0170.138
      Lac (mmol/l)1.0680.850–1.3410.572
      CRRT8.8790.606–130.0380.111
      TΔp (h)1.0230.997–1.0490.081
ECMO 36 h
      CrSO2 (%)0.9450.893–0.9990.049*
      Lac (mmol/l)0.990.760–1.2900.941
      CRRT10.6870.890–128.3290.062
      TΔp (h)1.0160.994–1.0380.149
ECMO 48 h
      CrSO2 (%)0.9190.850–0.9930.032*
      Lac (mmol/l)1.0560.564–1.9770.864
      CRRT14.9401.148–194.4600.039*
      TΔp (h)1.0110.990–1.0340.302

Multivariate logistics regression analysis of the hemodynamic monitoring indices during ECMO and their association with mortality.

CrSO2, cranial regional oxygen saturation; CRRT, continuous renal replacement therapies; TΔp, time to achieve pulse pressure 10 mmHg.

*

p < 0.05.

The area under the ROC curve was 0.769 (p = 0.03) for CrSO2 at 36 h and 0.758 (p = 0.038) at 48 h (Figure 2). The optimal cutoff value for CrSO2 for the prediction of mortality after weaning off ECMO was 57% at 36 h (sensitivity: 61.5%, specificity: 80%) and 56% at 48 h (sensitivity: 76.9%, specificity: 70%) (Table 5).

Figure 2

Figure 2

Receiver operating characteristic curves (ROC) of CrSO2 (36 h) and CrSO2 (48 h) between survivors and non-survivors.

Table 5

Area under the curveP-valueCutoff (%)Sensitivity (%)Specificity (%)
CrSO2 (36 h)0.7690.0305761.580
CrSO2 (48 h)0.7580.0385676.970

Cut-off of CrSO2 for the prediction of mortality.

CrSO2, cranial regional oxygen saturation.

The risk of mortality was higher among patients with a CrSO2(36h) <57% (p = 0.028) by Kaplan-Meier analysis. However, there was no difference in the mortality with CrSO2 (48 h) <56% (p = 0.103) (Figure 3).

Figure 3

Figure 3

Kaplan-Meier analysis according to CrSO2 (36 h) and CrSO2 (48 h) between survivors and non-survivors.

Discussion

Recent technological advancements have led to dramatic improvements in the prognosis of patients undergoing treatment with ECMO. In children, the assessment of organ perfusion using flow alone is limited due to differences in body weight and vascular volume. Therefore, enhanced tissue perfusion monitoring is essential during ECMO. However, no guidelines exist for the monitoring parameters for VA-ECMO.

Lactate, a routine ECMO monitoring indicator, was found to be associated with prognosis in this study. Park et al. (8) have reported that the appropriate cut-off values for predicting mortality were 7.05 mmol/L at 6 h, 4.95 mmol/L at 12 h, and 4.15 mmol/L at 24 h. Kim et al. (9) revealed that survivors had mean lactate levels of 3.85 mmol/L after the first day (vs. 10.69 mmol/L among non-survivors) and that the optimal cutoff value was 4.66 mmol/L (sensitivity: 75%, specificity: 75%). Our study also found a significant difference in the blood lactate level between survivors and non-survivors. In our study, lactate levels were significantly higher in non-survivors compared to survivors at 12 h (11.25 ± 7.26 vs. 6.96 ± 5.95 mmol/l, p = 0.022) and 48 h [2.2 (0.7, 20) vs. 1.4 (0.7, 5.8) mmol/l, p = 0.008], but no significant difference was observed on multivariate logistic regression, which meant that lactate was not a predictor of mortality.

There were no significant differences between the survival and non-survival groups in other routine monitoring measures, such as SvO2, Sa-vO2, and Pv-aCO2, which can be used to assess circulation state and discriminate shock. A study that investigated infants with CHD postoperatively showed that the sensitivity and specificity of Pv-aCO2 ≥ 12.3 mmHg in predicting oxygen supply/oxygen consumption ≤ 2 were 78.6 and 82.1%, respectively (10).

The area under the ROC curve was 0.769 (p = 0.03) for CrSO2 at 36 h and 0.758 (p = 0.038) at 48 h. The optimal cutoff values for CrSO2 for the prediction of mortality after weaning off ECMO was 57% at 36 h (sensitivity: 61.5%, specificity: 80%) and 56% at 48 h (sensitivity: 76.9%, specificity: 70%). Similarly, Tsou et al. (11) showed that any regional oxygen saturation index (rSO2) levels ≤ 50% were associated with unfavorable outcomes at hospital discharge [multivariable-adjusted odds ratio (OR), 2.82 (95% CI: 1.10–7.25)]. Kim et al. also showed the optimal cutoff values for right-sided and left-sided CrSO2 for predicting mortality were 58% (sensitivity: 78.7%, specificity: 83.3%) and 57% (sensitivity: 80.0%, specificity: 70.8%), respectively (9).

Previous studies have found that the differences in cerebral and abdominal oxygen possess a certain clinical significance in assessing perfusion (12–14). Generally speaking, abdominal oxygen varied in a wide range and decreased when cardiac output was reduced. Therefore, the larger the difference between cerebral and abdominal oxygen is, the poorer the prognosis is. We compared the MrSO2 between the survival and non-survival groups. However, there was no significant difference in the MrSO2 or the gap between CrSO2 and MrSO2. This may be related to the variation in abdominal oxygen in children, which is susceptible to the influence of abdominal bloating, peritoneal dialysis, and urine retention.

Similarly, our study showed that CRRT (OR = 14.940, p = 0.039) was related to mortality, as reported by some previous studies (15–18). Acute kidney injury (AKI) was a common occurrence in patients receiving ECMO after congenital heart surgery, and some studies have demonstrated an association between AKI and mortality (15, 16). Pilar et al. (17) found that the use of CRRT during ECMO was associated with higher mortality (OR: 6.12, p = 0.06). A systematic review conducted by Chen et al. (18) also showed higher mortality (OR: 5.89, p < 0.0001) and longer ECMO duration in patients requiring CRRT while on ECMO support. However, the drawback of the study was that kidney regional saturation was not monitored by NIRS due to the difficulty of the electrode adhesion to the costovertebral angle for children implanted ECMO in a central cannulation way.

Our study has some other limitations. First, statistical bias was inevitable owing to the retrospective design of the study. Further study should be applied in a proper prospective randomized way. Second, the changes in brain oxygen caused by brain injury were not excluded using computed tomography or magnetic resonance imaging. Finally, the study focused more on monitoring during ECMO and failed to analyze the data before and after ECMO initiation.

In conclusion, cerebral oxygen monitoring has important clinical significance as a non-invasive real-time monitoring technique for assessing perfusion and prognosis. Therefore, NIRS may be instrumental for monitoring the hemodynamic stability during the early period of ECMO, and cranial regional oxygen saturation (CrSO2) could predict hospital mortality after weaning patients off ECMO. However, more studies should be performed to validate the clinical significance of NIRS in children with ECMO after cardiac surgery.

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Statements

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.

Author contributions

MZ and XC: statistics and drafting of the article. YY and YS: data collection. LZ and XG: data interpretation. ZX and HZ: concept and design. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Summary

Keywords

ECMO perfusion, NIRS, pediatric, heart surgery, mortality

Citation

Zhang M, Yang Y, Chen X, Song Y, Zhu L, Gong X, Zhang H and Xu Z (2021) Application of Near-Infrared Spectroscopy to Monitor Perfusion During Extracorporeal Membrane Oxygenation After Pediatric Heart Surgery. Front. Med. 8:762731. doi: 10.3389/fmed.2021.762731

Received

22 August 2021

Accepted

05 October 2021

Published

22 November 2021

Volume

8 - 2021

Edited by

Luo Zhe, Fudan University, China

Reviewed by

Xu Wang, Chinese Academy of Medical Sciences and Peking Union Medical College, China; Chengbin Zhou, Guangdong Academy of Medical Sciences, China

Updates

Copyright

*Correspondence: Zhuoming Xu Haibo Zhang

This article was submitted to Intensive Care Medicine and Anesthesiology, a section of the journal Frontiers in Medicine

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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