Original Article

Predictive Value of Early Amplitude-Integrated Electroencephalography for Later Diagnosed Cerebral White Matter Damage in Preterm Infants Juan Song1

Changlian Zhu1

Falin Xu1

Jiajia Guo1

1 Department of Pediatrics, The Third Affiliated Hospital of Zhengzhou

University, Zhengzhou, China Neuropediatrics 2014;45:314–320.

Abstract

Keywords

► white matter damage ► preterm infants ► amplitude-integrated electroencephalogram

Address for correspondence Juan Song, MD, Department of Pediatrics, The Third Affiliated Hospital of Zhengzhou University, 7 Kangfu Front Street, Zhengzhou 450000, China (e-mail: [email protected]).

Purpose The aim of the article is to assess the predictive value of amplitude-integrated electroencephalogram (aEEG) for cerebral white matter damage (WMD) in preterm infants. Patients and Methods Preterms  32 weeks’ gestational age (GA) born between March 2012 and December 2012 were enrolled. The aEEG patterns within 72 hours were classified and recorded to predict their neurodevelopmental prognosis and the predictive results were used to compare with the results by cerebral ultrasound examination. Neurobehavioral disorder (neonatal behavioral neurological assessment score < 35, dyskinesia or dysgnosia) or death was thought as poor neurodevelopmental prognosis. Psychomotor development index (PDI) or mental development index (MDI)  79 was regarded as dyskinesia or dysgnosia, respectively. Results Of the 63 preterms, 3.2% were born < 27 weeks’ gestation and 96.8% at 27 to 32 weeks’ gestation. The median GA was 29.3 weeks and the median birth weight was 1,030 g. On the basis of the aEEG results, normal, mildly abnormal, and severely abnormal cases were 10, 24, and 29; whereas determined by cerebral ultrasound, normal, mild, and severe cases were 17, 20, and 26, respectively. The aEEG degree showed significantly positive correlations with both WMD and poor neurodevelopmental prognosis (p < 0.01). Conclusion Abnormal aEEG of preterm infants within 72 hours after birth may imply WMD occurrence and poor neurodevelopmental prognosis.

Introduction On the basis of the development in perinatal care and severe treatment technology, the survival rates of preterm infants (born < 37 weeks of gestation) have dramatically increased. However, the development also results in a high prevalence of brain damage, commonly cerebral white matter damage (WMD) especially in very preterm infants

received August 17, 2013 accepted after revision April 22, 2014 published online July 8, 2014

Yanhua Zhang1

(VPT, born < 32 weeks of gestation) and extremely preterm infants (EPT, born < 27 weeks of gestation).1,2 The WMD in premature infants is associated with adverse neurodevelopmental deficits such as cerebral palsy (CP) and mental retardation. 3 About 60 to 100% of premature infants with characteristics of WMD can develop CP.4 Therefore, an early, accurate, and noninvasive diagnosis is of great value for the treatment and prognosis of WMD.

© 2014 Georg Thieme Verlag KG Stuttgart · New York

DOI http://dx.doi.org/ 10.1055/s-0034-1382823. ISSN 0174-304X.

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aEEG Predicts WMD in Preterm Infants

Patients and Methods

to 10 days; and (3) severe cerebral WMD, which showed significant enhancement of echo, and periventricular leukomalacia or the decrease of cerebral white matter volume occurred after 3 to 4 weeks.

Amplitude-Integrated Electroencephalogram Degree Two-channel aEEG traces were recorded within 72 hours after birth with the cerebral function monitor (Nicolet One; Nicolet Biomedical Inc., Madison, Wisconsin, United States) using hydrogel electrodes, with standard electrode placement at Fp1–Fp2 regions on the scalp. Each recording lasted at least 4 hours to continuously monitor the background patterns and epileptiform activity. The speed of recording was regulated at 6 cm/h and the quality of the aEEG trace was monitored by a simultaneous continuous impedance trace, which was maintained at less than 20 kΩ. The aEEG tracings were assessed using the criteria by al Naqeeb et al,16 briefly as follows: (1) normal aEEG, normal amplitude as upper band > 10 µV and lower band > 5 µV; (2) moderately abnormal, mildly abnormal amplitude as upper band > 10 µV and lower band  5 µV, or normal amplitude with epileptiform activity; and (3) severely abnormal: severely abnormal amplitude as upper band < 10 µV and lower band < 5 µV or mildly abnormal amplitude with epileptiform activity. Epileptiform activity (seizures) can be identified on aEEG as a rapid rise in both the lower and upper band of the amplitude tracing.17 As for the sleep–wake cycling, a narrow bandwidth characterized wakefulness and active sleep, whereas a wider bandwidth denoted quiet sleep.18

Patients

Assessment of Neurobehavioral Development

In total, 63 preterm infants with gestational age (GA) < 32 weeks, admitted to the Third Affiliated Hospital of Zhengzhou University in 2 hours after birth, from March 2012 to December 2012, were recruited for this prospective study. The infants with intraventricular hemorrhage, congenital brain abnormality, chromosomal disease, or hereditary metabolic diseases were excluded according to the experimental design. The study was approved by the local Ethics Committee, and the informed consents were obtained from all the parents. The following neonatal factors were included: birth weight (BW), GA at birth, sex, mode of delivery, cord blood pH, Apgar score at 1 and 5 minutes, mean blood pressure (BP), mechanical ventilation, and the use of sedative or analgetic or anticonvulsant medications. Treatment with medications was always at the discretion of the clinician.

The Neonatal Behavioral Neurological Assessment (NBNA) score was used to assess the neurobehavioral development of preterm infants at a corrected GA of 40 weeks. The NBNA score < 35 could be regarded as suspicious neurobehavioral dysplasia. The psychomotor development index (PDI) and mental development index (MDI) were performed to evaluate the current developmental functioning of preterm infants after 3 months’ birth using child development center of China (CDCC) scale which was a modified version of the Bayley Scale special for Chinese infants. PDI  79 was defined as dyskinesia and MDI  79 as dysgnosia. Besides, the NBNA score < 35 or dyskinesia or dysgnosia was considered neurobehavioral dysplasia and meanwhile neurobehavioral disorder and death were both thought as poor neurodevelopmental prognosis.

Cerebral B Ultrasound

To evaluate the predictive values of aEEG in screening WMD, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of aEEG in screening WMD were calculated, and compared with other articles19–24 involving the predictive values of aEEG. Sensitivity and specificity was calculated using receiver–operating characteristic curves, which were generated by plotting true positive ratio (sensitivity) against the false positive ratio (1-specificity).

The regimen for cerebral ultrasound scans was performed on the 3rd day after birth and then once a week for the first 4 weeks. On the basis of the study by de Vries15 and our experiences, the WMD was classified into the following three categories: (1) no cerebral WMD, which showed no enhancement of the echo of cerebral white matter; (2) mild cerebral WMD, which performed transient and slight enhancement of the echo at the beginning, but decreased/disappeared after 7

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Comparison of Predictive Effect of aEEG with Findings of Other Articles

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As for the diagnosis of brain damage in preterm infants, electroencephalography (EEG) monitoring is a sensitive method.5,6 However, the most dominant feature of conventional EEG is discontinuity, which makes a “grading” and “severity-scoring” difficult in the VPT or EPT infants.7 Moreover, it is difficult to perform long-term monitoring using multichannel EEG recordings, especially in the first few days of life because of the fragile nature, especially in the early days after birth when the infants are usually in the critically unwell conditions.8,9 Limited channel amplitude-integrated electroencephalogram (aEEG) monitoring provides a derived parameter of EEG monitoring that can be performed to identify neurological injuries10,11 and continuously records valuable information about the background of cortical activity and occurrence of seizures within 72 hours after birth.12 The existing articles are commonly dealing with the assessment of aEEG in preterm infants with intraventricular hemorrhage during the early neonatal period, while the significance of aEEG in preterm infants with WMD during the early neonatal period has hardly been determined.13,14 To investigate the occurrence and severity of WMD, we performed two-channel aEEG on newborn preterm infants to explore the relationship between aEEG recording features and WMD severity using visual and quantitative analyses. We speculate that the features of two-channel aEEG of the preterm infants in an early time may have a predictive value for the occurrence of WMD in the following years, or even the severity of WMD.

Song et al.

aEEG Predicts WMD in Preterm Infants

Song et al.

Table 1 Characteristic of enrolled preterms Indexes

Values

Gestational age (wk)

29.3  2.35

26–27 (wk), n (%)

2 (3.2%)

27–32 (wk), n (%)

61 (96.8%)

Birth weight (g), mean  SD

1,030  358

Male/female

1.9:1

Natural labor/cesarean delivery

3:7

Apgar 1 min, mean  SD

5.7  2.8

Apgar 5 min, mean  SD

8.0  1.5

Cord pH, mean  SD

7.2  0.19

BP at 24 h (mm Hg)

(42  3.5)/(25  2.7)

Mechanical ventilation at 24 h, n (%)

25 (39.7)

Oxygen therapy using nCPAP, n (%)

30 (47.6%)

Oxygen therapy using nasal catheter

8 (12.7%)

Phenobarbital sodium within 24 h

3

Abbreviations: BP, blood pressure; nCPAP, nasal continuous positive airway pressure; pH, potential of hydrogen; SD, standard deviation.

Statistical Analysis Data of GA and BW were defined as mean  standard deviation. All data were analyzed by SPSS 17.0 software (SPSS Inc., Chicago, Illinois, United States). The correlation of bidirectional orderly data was analyzed using chi-square test, Spearman correlation analysis, and Kendall tau-b test.

were born at 26 to 27 weeks’ gestation and 61 infants (96.8%) at 27 to 32 weeks’ gestation. The BW was 1,030  358 g, mean BP was (42  3.5)/(25  2.7) mm Hg and cord blood pH was 7.2  0.2. The Apgar score for 1 minute and 5 minute were 5.7  2.8 and 8.0  1.5, respectively. There were 25 infants undergoing mechanical ventilation, 30 receiving nasal continuous positive airway pressure (nCPAP) oxygen therapy and eight using oxygen therapy by nasal catheter after birth. Three infants with severe asphyxia (Apgar score of 1 minute < 3) were given phenobarbital sodium of 20 mg/kg/d by intravenous injection on the first day after birth, and then 5mg/kg/d for the following 3 to 5 days. Other characteristics at birth are all shown in ►Table 1.

Results of Cerebral B Ultrasound According to the mentioned standard of diagnosis, of the 63 infants, 17 cases had not developed cerebral WMD, 20 cases developed mild cerebral WMD, and 26 cases were severe cerebral WMD.

Determination of Amplitude-Integrated Electroencephalogram Degree On visual analysis of the aEEG, 10 cases (15.9%) were normal (►Fig. 1), 24 cases (38.1%) were mildly abnormal (►Fig. 2), and 29 cases (46.0%) were severely abnormal (►Figs. 3 and 4; ►Table 2). Among 24 cases with mildly abnormal aEEG, 22 cases were of mildly abnormal amplitude and 2 cases were of normal amplitude with epileptiform activity. Among the 29 cases with severely abnormal aEEG, mildly abnormal amplitude with epileptiform activity was found in 24 cases and severely abnormal amplitude with epileptiform activity was found in 5 cases.

Correlation between aEEG Degree and Grades of Cerebral WMD

Results Patients In total, 63 infants born at 26 to 32 (29.3  2.4) weeks’ gestation were enrolled in this study, and of them, 2 (3.2%)

The WMD in premature infants showed a significant positive correlation with aEEG degree (χ2 ¼ 12.42, p < 0.05; Spearman coefficient ¼ 0.35, p < 0.01; Kendall tau b ¼ 0.317, p < 0.01) (►Table 2). Meanwhile, in preterm infants with

Fig. 1 Gestational age of 31 weeks: normal amplitude-integrated electroencephalogram (discontinuous normal voltage, normal sleep–wake cycling, no burst suppression). Neuropediatrics

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Fig. 2 Gestational age of 29 weeks: mildly abnormal amplitude-integrated electroencephalogram (discontinuous voltage, no significant sleep– wake cycling, no burst suppression).

Fig. 3 Gestational age of 30 weeks: severely abnormal amplitude-integrated electroencephalogram (discontinuous voltage, loss of sleep–wake cycling, burst suppression).

severe WMD, we observed obviously discontinuous aEEG background, low border voltage (< 5 µV) and loss of sleep– wake cycling.

Correlation between aEEG Degree and Poor Neurodevelopmental Prognosis Of the 53 infants with abnormal aEEG, 33 cases (62.3%) had poor neurodevelopmental prognosis (25 dyskinesia, 6 dysgnosia, and 2 deaths) at the assessment at 3 months of age. As shown in ►Table 3, a significant positive correlation was observed between aEEG degree and grades of cerebral WMD in premature infants (χ2 ¼ 20.08, p < 0.01; Spearman coefficient ¼  0.564, p < 0.01; Kendall tau-b ¼  0.538, p < 0.01).

Comparison of Predictive Effect of aEEG with Findings of Other Articles On the basis of the current results, the sensitivity, specificity, PPV, and NPV of aEEG in screening WMD were 93.5, 41.2, 81.1,

and 70%, respectively. As shown in ►Table 4, the PPV, NPV, and the sensitivity of our experiment were similar with the referred articles, except the specificity, which was lower than other studies.19–25

Discussion WMD is one of the most common forms of cerebral damage and is reported to be highly related with preterm birth.3 Neuroimaging technologies, including ultrasound, magnetic resonance imaging, computed tomography, are now the most common diagnosis tools of CP in preterm infants, and also the primary tools for the examination of early changes in white matter. However, the preterm infants are special groups of patients who are immature and vulnerable in many aspects, such as immunity. Therefore, it is not suitable for them to accept the detection conducted by the instruments in fixed position, especially in the early days after birth. Recently, aEEG has been successfully applied to monitor and treat Neuropediatrics

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aEEG Predicts WMD in Preterm Infants

aEEG Predicts WMD in Preterm Infants

Song et al.

Fig. 4 Gestational age of 29 weeks: severely abnormal amplitude-integrated electroencephalogram (discontinuous voltage, loss of sleep–wake cycling, burst suppression).

encephalopathic infants at risk for WMD because of its noninvasive property, easy operation, advantages of continuous monitoring, and visual interpretation.25–27 In this study, aEEG was employed to examine the WMD in 63 preterm infants born before GA of 32 weeks, and investigate the relationship of aEEG degree and WMD grade, further supporting evidence for the prognosis and intervention treatment value of aEEG. As expected, we found that aEEG degree of abnormality could indicate the severity of WMD compared with the diagnosis by ultrasound, and could also be used as predictive and prognostic tool in preterm infants. For more than three decades, aEEG has been widely used to clarify the normal or abnormal brain activity in both full-term and preterm infants.18,28 Meanwhile, aEEG has been reported having a predictive value for brain damage, especially in the setting of preterm brain damage and intraventricular hemorrhage.17 It has been proven that some types of background activity patterns, the loss of a sleep–wake cycle, and seizure activity are related to the onset of early complications of encephalopathy such as intraventricular hemorrhage with intraparenchymal hemorrhage and periventricular leukomalacia.29 However, there is no systemic evaluation for the predictive value of aEEG degree of abnormality in WMD. In our study, we found that the aEEG degree of abnormality was positively related with the severity of WMD in preterm infants born less than 32 weeks’ gestation. Besides, patients with the abnormal aEEG pattern accompanied by epileptiform activity might develop severe WMD, according to our

data, 93.5% patients with epileptiform activity developed severe WMD. Consistent with our results, many authors have demonstrated that aEEG pattern has high values in predicting the severity of brain damage.30,31 Therefore, it can be concluded that epileptiform activity in aEEG-pattern seems to be a strong predictor for the occurrence of severe WMD in the following days. In addition, recent studies have shown that an aEEG performed in the early hours or during the first days of life can predict the neurobehavioral development of preterm infants at 2 to 3 years.9 As reported, discontinuous background is associated with low GA, and the continuity < 80% at the 10 µV level was a sensitive and specific marker of poor short-term outcome, whereas continuous low voltage (< 4 µV) can predict adverse developmental outcome.32 Also, noticeable differences in sleep–wake cycling, such as a shorter time of onset and increased duration of active sleep, can all provide prognostic value of adverse developmental outcome.33 A recent study has also shown that electrographic epileptiform activity in the first week of life correlate with adverse outcomes.34 In our study, the abnormal aEEG pattern in premature infants showed significantly positive relationship with poor neurodevelopmental prognosis (25 dyskinesia, 6 dysgnosia, and 2 deaths) as a long-term outcome. The abnormal aEEG pattern occurred in our study included discontinuous background, lower border voltage (< 5 µV), loss of sleep–wake cycling, and even epileptiform activity. The coincident conclusion points out that the epileptiform

Table 2 The correlation between aEEG and grade of cerebral white matter damage Cases

No cerebral white matter damage

Mild cerebral white matter damage

Severe cerebral white matter damage

aEEG normal

10

7

2

1

aEEG mildly abnormal

24

6

8

10

aEEG severely abnormal

29

4

10

15

Abbreviation: aEEG, amplitude-integrated electroencephalogram. Neuropediatrics

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Table 3 The correlation between aEEG and poor neurodevelopmental prognosis Cases

Neuronal dysplasia

Normal neural development

aEEG normal

10

1

9

aEEG mildly abnormal

24

9

15

aEEG severely abnormal

29

24

5

Abbreviation: aEEG, amplitude-integrated electroencephalogram.

Study references

N

PPV (%)

NPV (%)

Sensitivity (%)

Specificity (%)

Shany et al19

39

69

100

100

87

Hellström-Westas et al20

47

86

96

95

89

34

84

92

94

79

56

77

90

93

70

68

86

91

91

86

15

73

91

79

89

160

88

91

93

85

63

81

70

93

41

Eken et al

21

al Naqeeb et al16 Toet et al

22

Shalak et al

23

van Rooij et al Our study

24

Abbreviations: NPV, negative predictive value; PPV, positive predictive value.

activity caught by aEEG in the first few days after birth might mean a poor neurobehavioral prognosis that needs consideration of special intervention. As a result, aEEG pattern of preterm infants in the first days after birth can supply some predictive information for the risk of developing brain damage in the following days and neurobehavioral development in a long period. ter Horst et al have demonstrated that low-voltage patterns within the first 48 hours after admission are predictive of a poor neurological outcome or death.12 Many studies devote their effort on explaining the predictive value of aEEG for neonatal encephalopathy.8,9,19 As shown in ►Table 4, the PPV and NPV of aEEG in our study were 81.1 and 70%, respectively, and the predictive values obtained by different groups are very similar.19–25 A recent study has shown that the combination of early aEEG and clinical examination within the first 12 hours of birth can increase the PPV and specificity compared with either method alone.23 An accurate predictive value can help the physicians to understand the progress of brain damage more easily, and make a quick determination of pharmacological intervention and personalized treatment programs. There are several limitations in this study, such as small sample size and short follow-up time. Besides, the selective bias for hospital from the parents may affect the strength of these conclusions, for example, mothers usually choose the most powerful hospital for such serious diseases. Thus, the patient distribution will be unbalanced among the hospital in Zhengzhou. Therefore, further studies focusing on the correlation between aEEG dynamic monitoring and WMD in large cohort of subjects are recommended, as well as a long-term follow-up time. Meanwhile, further research is in great need

to clarify the accurate relationship between aEEG and WMD, especially the precise predictive value of aEEG for WMD. In conclusion, abnormal aEEG of preterm infants within 72 hours after birth may imply damage in white matter and predict poor neurodevelopmental prognosis, including dyskinesia, dysgnosia, or even deaths. The epileptiform activity patter might indicate a severe neurodevelopmental prognosis. Further study can emphasize on the precise predictive value of aEEG on WMD in a large cohort of subjects with a long-time follow-up.

References 1 Wilson-Costello D, Friedman H, Minich N, Fanaroff AA, Hack M.

2

3

4

5

6

Improved survival rates with increased neurodevelopmental disability for extremely low birth weight infants in the 1990s. Pediatrics 2005;115(4):997–1003 Fellman V, Hellström-Westas L, Norman M, et al; EXPRESS Group. One-year survival of extremely preterm infants after active perinatal care in Sweden. JAMA 2009;301(21):2225–2233 Saliba E, Marret S. Cerebral white matter damage in the preterm infant: pathophysiology and risk factors. Semin Neonatol 2001; 6(2): 121–133 Leviton A, Paneth N. White matter damage in preterm newborns—an epidemiologic perspective. Early Hum Dev 1990; 24(1):1–22 Hellström-Westas L, Rosén I. Electroencephalography and brain damage in preterm infants. Early Hum Dev 2005; 81(3):255–261 Hayakawa M, Okumura A, Hayakawa F, et al. Background electroencephalographic (EEG) activities of very preterm infants born at less than 27 weeks gestation: a study on the degree of continuity. Arch Dis Child Fetal Neonatal Ed 2001;84(3):F163–F167 Neuropediatrics

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Table 4 Predictive values of background patterns in some studies

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7 Klebermass K, Olischar M, Waldhoer T, Fuiko R, Pollak A, Weninger

8 9

10

11

12

13

14

15 16

17 18

19

20

21

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Predictive value of early amplitude-integrated electroencephalography for later diagnosed cerebral white matter damage in preterm infants.

 The aim of the article is to assess the predictive value of amplitude-integrated electroencephalogram (aEEG) for cerebral white matter damage (WMD) i...
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