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1.
Chinese Journal of Neonatology ; (6): 465-470, 2023.
Article in Chinese | WPRIM | ID: wpr-990774

ABSTRACT

Objective:To study the predictive values of umbilical artery blood gas analysis(UABG) plus amplitude-integrated electroencephalography(aEEG) monitoring within 6 h after birth for early complications and short term neurological outcomes in low Apgar score neonates.Methods:From January 2020 to February 2022, neonates with gestational age (GA) ≥35 weeks and 1 min or 5 min Apgar score ≤7 admitted to NICU of our hospital were retrospectively reviewed. According to UABG pH values, the neonates were assigned into pH<7.2 group and pH ≥7.2 group, and further grouped into abnormal aEEG group and normal aEEG group. The ttest, rank sum test and χ2 test were used to compare laboratory results, incidences of diseases, physical growth and neurological prognosis at 6 month of age. Results:A total of 105 neonates with low Apgar scores were enrolled, including 73 cases in the pH<7.2 group and 32 cases in the pH≥7.2 group. In the pH<7.2 group, 52(71.2%) had abnormal aEEG and 21 had normal aEEG. In the pH≥7.2 group, 6(18.8%) had abnormal aEEG and 26 had normal aEEG. The incidence of abnormal aEEG in the pH<7.2 group was higher than the pH≥7.2 group ( P<0.001). The degree of aEEG abnormality was negatively correlated with UABG pH ( r=-0.463, P<0.001). In the pH<7.2 group, the levels of creatine kinase isozymes (CK-MB), activated partial thromboplastin time and the incidence of hypoxic-ischemic encephalopathy (HIE) in neonates with abnormal aEEG were significantly higher than those with normal aEEG, and the head circumference (HC) at 6 month was significantly smaller in neonates with abnormal aEEG (all P<0.05). In the pH≥7.2 group, the level of CK-MB, incidences of HIE and respiratory failure in neonates with abnormal aEEG were higher than those with normal aEEG, HC at 6 month was smaller and the incidence of adverse neurological prognosis was higher in neonates with abnormal aEEG (all P<0.05). Conclusions:UABG plus aEEG monitoring within 6 h after birth shows predictive values for early complications and short term neurological outcomes in low Apgar scores neonates.

2.
Chinese Journal of Contemporary Pediatrics ; (12): 128-134, 2023.
Article in Chinese | WPRIM | ID: wpr-971049

ABSTRACT

OBJECTIVES@#To explore a new method for electroencephalography (EEG) background analysis in neonates with hypoxic-ischemic encephalopathy (HIE) and its relationship with clinical grading and head magnetic resonance imaging (MRI) grading.@*METHODS@#A retrospective analysis was performed for the video electroencephalography (vEEG) and amplitude-integrated electroencephalography (aEEG) monitoring data within 24 hours after birth of neonates diagnosed with HIE from January 2016 to August 2022. All items of EEG background analysis were enrolled into an assessment system and were scored according to severity to obtain the total EEG score. The correlations of total EEG score with total MRI score and total Sarnat score (TSS, used to evaluate clinical gradings) were analyzed by Spearman correlation analysis. The total EEG score was compared among the neonates with different clinical gradings and among the neonates with different head MRI gradings. The receiver operating characteristic (ROC) curve and the area under thecurve (AUC) were used to evaluate the value of total EEG score in diagnosing moderate/severe head MRI abnormalities and clinical moderate/severe HIE, which was then compared with the aEEG grading method.@*RESULTS@#A total of 50 neonates with HIE were included. The total EEG score was positively correlated with the total head MRI score and TSS (rs=0.840 and 0.611 respectively, P<0.001). There were significant differences in the total EEG score between different clinical grading groups and different head MRI grading groups (P<0.05). The total EEG score and the aEEG grading method had an AUC of 0.936 and 0.617 respectively in judging moderate/severe head MRI abnormalities (P<0.01) and an AUC of 0.887 and 0.796 respectively in judging clinical moderate/severe HIE (P>0.05). The total EEG scores of ≤6 points, 7-13 points, and ≥14 points were defined as mild, moderate, and severe EEG abnormalities respectively, which had the best consistency with clinical grading and head MRI grading (P<0.05).@*CONCLUSIONS@#The new EEG background scoring method can quantitatively reflect the severity of brain injury and can be used for the judgment of brain function in neonates with HIE.


Subject(s)
Infant, Newborn , Humans , Hypoxia-Ischemia, Brain/diagnostic imaging , Retrospective Studies , Brain Injuries , Electroencephalography , ROC Curve
3.
Chinese Journal of Contemporary Pediatrics ; (12): 805-811, 2023.
Article in Chinese | WPRIM | ID: wpr-1009824

ABSTRACT

OBJECTIVES@#To establish a new method for evaluating the brain maturation of preterm infants based on the features of electroencephalographic activity.@*METHODS@#A prospective study was conducted on the video electroencephalography (vEEG) and amplitude-integrated electroencephalography (aEEG) recordings within 7 days after birth of preterm infants who had a postmenstrual age (PMA) of 25-36 weeks and met the inclusion criteria. The background activity of aEEG+conventional electroencephalography (cEEG) was scored according to the features of brain maturation as a new evaluation system and was compared with the aEEG evaluation system. The correlations of the evaluation results of the two methods with gestational age (GA), PMA, and head circumference were evaluated. The intervals of the total scores of aEEG+cEEG and aEEG were calculated for preterm infants with different PMAs and were compared between groups. The consistency of the new scoring system was evaluated among different raters.@*RESULTS@#A total of 52 preterm infants were included. The total scores of aEEG+cEEG and aEEG were positively correlated with GA, PMA, and head circumference (P<0.05), and the correlation coefficient between the total scores of the two systems and PMA and GA was >0.9. The normal score intervals for aEEG+cEEG and aEEG scoring systems were determined in preterm infants with different PMAs as follows: infants with a PMA of less than 28 weeks had scores of 13.0 (11.0, 14.0) points for aEEG+cEEG and 6.0 (4.0, 7.0) points for aEEG; infants with a PMA between 28 and 29+6 weeks had scores of 16.0 (14.5, 17.0) points for aEEG+cEEG and 8.0 (6.0, 8.0) points for aEEG; infants with a PMA between 30 and 31+6 weeks had scores of 18.0 (17.0, 21.0) points for aEEG+cEEG and 9.0 (8.0, 10.0) points for aEEG; infants with between 32 and 33+6 weeks had scores of 22.0 (20.0, 24.5) points for aEEG+cEEG and 10.0 (10.0, 10.8) points for aEEG; infants with a PMA between 34 and 36 weeks had scores of 26.0 (24.5, 27.5) points for aEEG+cEEG and 11.0 (10.0, 12.0) points for aEEG. There were significant differences in the total scores of aEEG+cEEG and aEEG among the different PMA groups (P<0.05). There was a high consistency between different raters when using the scoring system to evaluate the brain maturation of preterm infants (κ=0.86).@*CONCLUSIONS@#The aEEG+cEEG scoring system established in this study can quantitatively reflect the brain maturation of preterm infants, with a good discriminatory ability between preterm infants with different PMAs and high consistency between different raters.


Subject(s)
Humans , Infant, Newborn , Brain , Electroencephalography , Gestational Age , Infant, Premature , Prospective Studies
4.
J. pediatr. (Rio J.) ; 98(6): 565-571, Nov.-Dec. 2022. graf
Article in English | LILACS-Express | LILACS | ID: biblio-1421997

ABSTRACT

Abstract Objective: Amplitude-integrated electroencephalography (aEEG) is a simplified bedside neurophysiology tool that has been implemented in the neonatal intensive care unit and studied in an extensive range of clinical applications in the past decade. This critical review aimed to evaluate a variety of clinical applications of aEEG monitoring in diagnosis, clinical management, and prognosis assessment in critically ill neonates. Sources: The databases of Pubmed, SciELO, Lilacs, and Cochrane, books, and other online resources were consulted, as well as sources of professional experiences. Summary of findings: The clinical use of aEEG to access real-time brain function, background activity, and utility in seizures detection has been described. A critical review was realized considering the authors' professional experience. Newborns with hypoxic-ischemic encephalopathy and seizures screening represent the most common studied population. However, several studies have shown interesting applications on preterm infants, newborns with congenital heart disease, and other clinical situations of high risk of injury to the developing brain. Conclusion: The aEEG has shown to be a useful non-invasive bedside monitor that aids in evaluating brain function, background activity, and cyclicity. aEEG findings have also demonstrated good prognostic value in a group of critically ill neonates. The aEEG seizure diagnosis capability has limitations, which have been already well established. The use of neonatal brain monitoring such as aEEG was shown to give valuable information in several high-risk clinical situations.

5.
Chinese Pediatric Emergency Medicine ; (12): 875-879, 2022.
Article in Chinese | WPRIM | ID: wpr-955154

ABSTRACT

Objective:To explore the predictive value of amplitude integrated electroencephalography(aEEG)in the neurological prognosis of children with neonatal bacterial meningitis(NBM).Methods:The clinical data and aEEG results from 148 children diagnosed with NBM who completed aEEG examinations in the Department of Neonatology at Kunming Children′s Hospital from January 2018 to December 2019 were retrospectively analyzed.According to whether aEEG is abnormal, the children were divided into aEEG abnormal group and aEEG non-abnormal group.According to the degree of aEEG abnormality, children with aEEG abnormality were divided into aEEG mild abnormal group and aEEG severe abnormal group.The abnormal rate and abnormal characteristics of aEEG were analyzed; The clinical data of two groups were compared.Results:(1)Among the 148 children with NBM, 49 children had abnormal aEEG, 99 children had no abnormality, and the aEEG abnormal rate was 33.1%.The abnormal aEEG was manifested as delayed sleep-wake cycle maturation in 39 (26.3%) cases, abnormal discharge in eight (5.4%) cases, and abnormal background activity in one (0.6%) case.(2)The proportion of children with convulsive seizures and refractory NBM in aEEG abnormal group were significantly higher than those in aEEG non-abnormal group ( P<0.05). In the routine and biochemical abnormal indexes of cerebrospinal fluid, the proportion of protein >3 g/L, cerebrospinal fluid leukocyte>500×10 6/L, cerebrospinal fluid glucose<1.5 mmol/L, positive cerebrospinal fluid culture, positive blood and cerebrospinal fluid culture, abnormal head MRI in aEEG abnormal group significantly increased ( P<0.05); While there was no significant difference regarding blood routine leukocyte abnormality, CRP increase, and positive blood culture ratio between two groups ( P>0.05). (3) 148 cases of NBM children were followed up to 15 months old, 119 (80.4%) cases completed the follow-up, the loss rate was 19.6%, three cases died, and 11 cases had psychomotor retardation.Compared with the children with abnormal aEEG, the prognosis of children with NBM was significantly different, the Spearman rank correlation coefficient r was 0.315 ( P<0.05). COX regression was used to analyze the predictive value of each index for adverse outcomes. Abnormal aEEG was an independent risk factor for adverse outcomes in children with NBM ( OR=7.452, 95% CI 1.605-34.591, P<0.05). Conclusion:The aEEG monitoring of children with NBM, if abnormal, may indicate severe NBM, which is likely to be transformed into refractory NBM or has a poor prognosis.

6.
Chinese Pediatric Emergency Medicine ; (12): 441-446, 2019.
Article in Chinese | WPRIM | ID: wpr-752916

ABSTRACT

Objective To explore the value of amplitude integrated electroencephalography (aEEG) in cerebral function monitoring in preterm infants younger than 30 weeks of gestation. Methods A total of 165 cases of preterm infants younger than 30 weeks of gestation were prospectively enrolled in the study from September 2015 to February 2017,including 20 preterm infants with severe brain injury ( severe brain injury group) and 145 with non-severe brain injury ( non-severe brain injury group). Five aspects of each tracing, such as continuity(Co),sleep-wake cycling( Cy),amplitude of the lower border(LB),bandwidth( B) and total maturation scores,were evaluated and compared between two groups by applying a preterm infants aEEG scoring system. The neuromotor development of preterm infants survivors was assessed by using the 0 to 6 years old children′s neurological and psychological development scale of China Capital Institute of Pediatrics. Clinical data were collected and compared with the results of aEEG. Results The scores for Co,Cy,LB,B as well as total maturation scores of preterm infants with severe brain injury at different gestational age were lower than those of infants with non-severe brain injury at the same gestational age. The differences were sta-tistically significant (all P<0. 05). There were no statistical differences in Co,Cy,LB,B scores and total maturation scores between each gestational ages in severe brain injury group (all P>0. 05). Scores for Co, Cy,B and total maturation scores progressively increased with advancing gestational age in non-severe brain injury group( all P <0. 05),but there were no statistical differences between each gestational ages in LB scores(all P>0. 05). Follow-up results of 16 cases with severe brain injury:15 cases of DQ≤69,1 case of DQ 70-84,and no cases of DQ≥85; 130 cases of non-severe brain injury group:78 case of DQ≥85,42 cases of DQ 70-84,10 cases of DQ≤69. By chi-square analysis and Spearman rank correlation analysis,the results of aEEG total maturation scores were correlated with outcome of these preterm infants younger than 30 weeks of gestation ( r =0. 702,P <0. 05). Conclusion aEEG can provide important information of the status of cerebral function in preterm infants younger than 30 weeks of gestation and help to predict their outcome.

7.
Chinese Critical Care Medicine ; (12): 554-557, 2018.
Article in Chinese | WPRIM | ID: wpr-703688

ABSTRACT

Objective To compare the accuracy of electroencephalography (EEG) grading scale with amplitude-integrated electroencephalography (aEEG) in predicting poor outcomes (3-month), who sustained coma after cardiopulmonary resuscitation (CPR) in adults. Methods A retrospective study was conducted. The patients with post-anoxic coma admitted to intensive care unit (ICU) of Tongren Hospital, Capital Medical University from March 2010 to June 2017 were enrolled. EEG was registered and recorded at least once within 7 days of coma after CPR, while not being subjected to therapeutic hypothermia. General data, Glasgow coma scale (GCS), EEG grading and aEEG model were collected. According to Glasgow prognosis score (GOS) of 3-month outcome, patients were divided into poor prognosis group (GOS 1-2) and good prognosis group (GOS 3-5), and the differences of related indexes between the two groups were compared. The predictive ability of aEEG model and EEG grading for brain function prognosis was evaluated by receiver operating characteristic (ROC) curve. Results Fifty-four patients were included, with 31 males and 23 females, and age of (53.9±19.3) years. Among the EEG Young grades, 17 cases (31.5%) were grade 1, 4 cases (7.4%) were grade 2-5, and 33 cases (61.1%) were grade 6. Among the aEEG model grades, 26 cases (48.1%) had slow wave pattern grade 1, 23 cases (42.6%) had suppressed mode grade 4, 4 cases (7.4%) had status epilepticus mode grade 2, and 1 case (1.9%) had burst suppression mode grade 3. Thirty-six patients had poor prognosis 3-month after onset, 26 of them died and 10 had persistent vegetative state. The prognosis was good in 18 cases, including 16 cases with severe neurological disability and 2 cases with moderate neurological disability. There was no significant difference in gender, age, anoxic time between two groups with different prognosis, while the degree of consciousness disorder in poor prognosis group was more severe than that in good prognosis group (GCS score: 4.1±1.7 vs. 5.0±2.1, P < 0.05). The consistency test showed that different physicians had good consistency in EEG grading and aEEG model (Kappa values were 0.917 and 0.932, respectively). It was shown by ROC curve analysis that the area under ROC curve (AUC) of aEEG model and EEG grading for predicting poor prognosis of coma patients after CPR were 0.815 and 0.720, respectively (both P < 0.01); when the cut-off value of aEEG was 2.5, the sensitivity was 79.3%, the specificity was 77.4%, the positive likelihood ratios (PLR) was 3.508, and the negative likelihood ratios (NLR) was 0.267; when the cut-off value of EEG grading was 4.5, the sensitivity was 82.8%, the specificity was 61.3%, the PLR was 2.140, and NLR was 0.281. Conclusions aEEG model was more accurate in prognosticating poor outcomes (3-month) in patients with post-anoxic coma, when compared to EEG grading. Its operation was simple, so aEEG is very suitable in ICU.

8.
International Journal of Pediatrics ; (6): 28-31, 2018.
Article in Chinese | WPRIM | ID: wpr-692433

ABSTRACT

Improvements in prenatal and neonatal intensive care have raised the premature infants survival rate.Meanwhile,the incidence of premature brain injury is also increased.White matter iniury is one of the most common diseases of brain injury in premature infants and often leads to neurodevelopment delays and cognitive impairment.Early diagnosis and treatment of brain injury in preterm infants are important to improve their quality of life.Recent studies have shown that early detection of brain injure is benefited from some monitoring methods,including the electrophysiology,imaging,biochemical markers and cerebral oxygen metabolism of premature infants.

9.
Neuroscience Bulletin ; (6): 639-646, 2018.
Article in English | WPRIM | ID: wpr-777007

ABSTRACT

Prognostication of coma patients after brain injury is important, yet challenging. In this study, we evaluated the predictive value of amplitude-integrated electroencephalography (aEEG) for neurological outcomes in coma patients. From January 2013 to January 2016, 128 coma patients after acute brain injury were prospectively enrolled and monitored with aEEG. The 6-month neurological outcome was evaluated using the Cerebral Performance Category Scale. aEEG monitoring commenced at a median of 7.5 days after coma onset. Continuous normal voltage predicted a good 6-month neurological outcome with a sensitivity of 93.6% and specificity of 85.2%. In contrast, continuous extremely low voltage, burst-suppression, or a flat tracing was correlated with poor 6-month neurological outcome with a sensitivity of 76.5% and specificity of 100%. In conclusion, aEEG is a promising predictor of 6-month neurological outcome for coma patients after acute brain injury.


Subject(s)
Female , Humans , Male , Middle Aged , Brain , Brain Injuries , Diagnosis , Coma , Diagnosis , Electroencephalography , Methods , Follow-Up Studies , Neurophysiological Monitoring , Methods , Prognosis , Prospective Studies , Sensitivity and Specificity , Severity of Illness Index
10.
Chinese Pediatric Emergency Medicine ; (12): 691-696, 2017.
Article in Chinese | WPRIM | ID: wpr-662398

ABSTRACT

Objective To explore the value of amplitude integrated electroencephalography ( aEEG) in diagnosis and prognosis in neonates with acute hypoglycemic brain injury. Methods A total of 47 cases of neonatal hypoglycemic brain injury were prospectively enrolled in the study from January 2011 to July 2015. The aEEG traces were classified according to background activity ( normal,moderate,or severely abnormal) , presence of seizures and sleep-wake cycling ( SWC) . The neuromotor development of survivors with neonatal hypoglycemic brain injury was assessed by using the 0-6 years old children′s neurological and psychological development scale of China Capital Institute of Pediatrics. Clinical data were collected and compared with the result of aEEG. Results The characteristic of aEEG tracings in 47 infants showed continuous normal voltage (CNV)(n=9),discontinuous voltage(DC)(n=29),continuous low voltage(CLV)(n=3),burst-suppres-sion(BS)(n=6);mature sleep-wake cycling(SWC)(n=9),immature SWC(n=17),no SWC (n=21);39 infants(83. 0%) had electrical seizures:single seizure(n=11),repetitive seizures(n=20),and status ep-ilepticus (SE)(n=8). aEEG of 23 infants who had poor outcome showed CLV(n=3),BS/SE(n=4),BS/repetitive seizures( n =2 ) , DC/SE ( n =4 ) , DC/repetitive seizures ( n =10 ) . By chi-square analysis and Spearman rank correlation analysis,the results of aEEG classification,background pattern and SWC were cor-related with outcome of these infants with hypoglycemic brain injury. Conclusion Amplitude integrated electroencephalography can provide important information of the status of cerebral function in neonates with acute hypoglycemic brain injury and help to predict their outcome.

11.
Chinese Pediatric Emergency Medicine ; (12): 691-696, 2017.
Article in Chinese | WPRIM | ID: wpr-659959

ABSTRACT

Objective To explore the value of amplitude integrated electroencephalography ( aEEG) in diagnosis and prognosis in neonates with acute hypoglycemic brain injury. Methods A total of 47 cases of neonatal hypoglycemic brain injury were prospectively enrolled in the study from January 2011 to July 2015. The aEEG traces were classified according to background activity ( normal,moderate,or severely abnormal) , presence of seizures and sleep-wake cycling ( SWC) . The neuromotor development of survivors with neonatal hypoglycemic brain injury was assessed by using the 0-6 years old children′s neurological and psychological development scale of China Capital Institute of Pediatrics. Clinical data were collected and compared with the result of aEEG. Results The characteristic of aEEG tracings in 47 infants showed continuous normal voltage (CNV)(n=9),discontinuous voltage(DC)(n=29),continuous low voltage(CLV)(n=3),burst-suppres-sion(BS)(n=6);mature sleep-wake cycling(SWC)(n=9),immature SWC(n=17),no SWC (n=21);39 infants(83. 0%) had electrical seizures:single seizure(n=11),repetitive seizures(n=20),and status ep-ilepticus (SE)(n=8). aEEG of 23 infants who had poor outcome showed CLV(n=3),BS/SE(n=4),BS/repetitive seizures( n =2 ) , DC/SE ( n =4 ) , DC/repetitive seizures ( n =10 ) . By chi-square analysis and Spearman rank correlation analysis,the results of aEEG classification,background pattern and SWC were cor-related with outcome of these infants with hypoglycemic brain injury. Conclusion Amplitude integrated electroencephalography can provide important information of the status of cerebral function in neonates with acute hypoglycemic brain injury and help to predict their outcome.

12.
Chinese Journal of Neonatology ; (6): 346-350, 2017.
Article in Chinese | WPRIM | ID: wpr-607089

ABSTRACT

Objective To investigate the diagnostic correlation and sensitivity of amplitude integrated electroencephalogram (aEEG),brainstem auditory evoked potential (BAEP) and cranial magnetic resonance imaging (MRI) for acute bilirubin encephalopathy (ABE) in the newborn.Method Term and near-term neonates (gestational age ≥ 35 weeks) with hyperbilirubinemia (the level of bilirubin over than 95th percentile) of high and intermediate risk group admitted in the neonatal ward of Guangxi Maternal and Child Health Care Hospital from Jan 2014 to Dec 2015 were recruited retrospectively.The infants were assigned to ABE group and non-ABE group according to the diagnostic criteria of ABE.The clinical data of the newborns were collected and the diagnostic correlation between clinical diagnosis and aEEG,BAEP and cranial MRI were analyzed.The receiver operating characteristic (ROC) curve was adopted to assess the diagnostic efficiency of the peak level of serum bilirubin,aEEG,BAEP and cranial MRI on the early diagnosis of ABE.Result A total of 152 newborns with hyperbilirubinemia were recruited,including 33 cases in the ABE group and 119 cases in non-ABE group.(1) The results of aEEG and MRI were marginally positively correlated with clinical diagnosis of ABE (aEEG:r =0.487,P < 0.001;MRI:r =0.220,P=0.018),while the results of BAEP were closely related to the clinical diagnosis of ABE (r =0.593,P < 0.001);(2) The results of BAEP and MRI on the diagnosis of ABE were positively correlated with those of aEEG (BAEP:r =0.424,P < 0.001;MRI:r =0.307,P < 0.001).(3) The area under the ROC curves for predicting the onset of ABE were 0.899 for the peak level of serum bilirubin,0.767 for BAEP,0.738 for aEEG and 0.590 for MRI.Conclusion There was the correlation on the diagnosis of ABE among the methods of aEEG,BAEP and MRI.The combined diagnosis of the three methods could play a complementary role.The aEEG contributed to the early diagnosis of ABE with high sensitivity.

13.
Chinese Journal of Applied Clinical Pediatrics ; (24): 143-145, 2017.
Article in Chinese | WPRIM | ID: wpr-505131

ABSTRACT

Hypoxic-ischemic encephalopathy (HIE) is the main reason of causing neonatal death and poor prognosis of the nervous system.The treatment of HIE has gone into the era of therapeutic hypothermia,the early,continuous,specification amplitude integrated electroencephalography(aEEG) monitoring for therapeutic hypothermia to screen appropriate cases,assess early the severity of HIE,provide early nerve protection treatment and evaluate the therapeutic efficiency,early intervention and improve the prognosis of the long-term HIE.This paper review the application of aEEG in the therapeutic hypothermia of HIE.

14.
Journal of Sun Yat-sen University(Medical Sciences) ; (6): 894-899,915, 2017.
Article in Chinese | WPRIM | ID: wpr-668547

ABSTRACT

[Objective]To study the change of amplitude-integrated electroencephalography(aEEG)and the relationship with neurological prognosis in children with brain injury.[Methods]This study included 100 brain injured children,100 normal children as the control group. Quantitative aEEG in frontal,temporal,parietal and central lobe were compared. The aEEG in brain injured chil?dren were reexamined after 1 week. The follow-up was observed after 3 months and pediatric cerebral performance category score (PCPC)was recorded for each patient.[Results]The 2-12 months group frontal and temporal lower margin amplitude were signifi?cantly increased,P<0.05,bandwidth in frontal,temporal and central channels were significantly decreased,P<0.05. In 13-35 months group all lower and upper margin amplitudes were significantly higher in brain injury group than normal control group ,P<0.05. In 36-71 months group,frontal,temporal,parietal and central lower margin amplitude were significantly increased,P<0.05. However,only upper margin amplitude in frontal and parietal lobe were significantly different,P<0.05. In 72-155 months group,the lower margin amplitude of frontal,central,parietal and temporal channels were significantly increased,P<0.05;the upper margin amplitude of frontal,central,parietal channels were significantly different,P<0.05;the bandwidth were significantly different in fron? tal and parietal channels,P<0.05. In 156-216 months group,the lower and upper margin amplitude of frontal,central,parietal and temporal channels were significantly increased ,P<0.05;the bandwidth were significantly different in frontal channel ,P<0.05.Correla?tion analysis shows that the PCPC after 3 months was significantly correlated to upper and lower voltage of parietal channels,r=0.222, 0.219,respectively.[Conclusion]The lower margin amplitude in brain injured children were changed,and the early aEEG of pari?etal channel have predict value for early prognosis.

15.
International Journal of Pediatrics ; (6): 184-188, 2017.
Article in Chinese | WPRIM | ID: wpr-514249

ABSTRACT

Objective In recent years,amplitude-integrated electroencephalography (aEEG)has been widely used in cerebral function monitor in NICU.It is a simplified form of electroencephalogram.Many study on term infants have shown that aEEG can help identify brain injury and predict nurodevelopment outcome.However,the aEEG in preterm infants relates to gestational age and can be influenced by many factors.Its prognostic value of neurodevelopmental impairment in preterm infants is still unclear and need to be determined.

16.
Journal of Clinical Pediatrics ; (12): 435-440, 2017.
Article in Chinese | WPRIM | ID: wpr-619027

ABSTRACT

Objective To investigate the effects of caffeine on cerebral cortical activity in preterm infants. Methods The preterm infants with 28-34 week gestational age and without asphyxia at birth were recruited as the subjects from January to September 2016. The infants who received conventional caffeine citrate were assigned to the caffeine group, while the infants with the same postmenstrual age did not receive any drugs that excite respiratory center were assigned to the control group. In the caffeine group, after the use of caffeine citrate stopped, the amplitude integration electroencephalogram (aEEG) recording were performed at 33, 34, 35 weeks of postmenstrual age. All the aEEG recordings were continuously monitored for at least 4 hours. The aEEG images were assessed by Burdjalov scoring system, and the interburst intervals were calculated. The effects of caffeine on preterm infants' cerebral cortical activity in early life were analyzed. Results In a total of 49 preterm infants recruited, 21 were in caffeine group and 28 in control group, and the ratio of male and female was 1.45:1. At the same postmenstrual age, the total score and individual scores of aEEG assessed by Burdjalov scoring system were not significantly different between caffeine group and control group. However, the length of interburst interval was significantly shorter in caffeine group than that in control group (P<0.05). All the recruited preterm infants had no seizure-like activity when the aEEG was monitored. Conclusion The use of caffeine citrate has effects on EEG activity in early life of preterm infants, which may accelerate the brain maturation of preterm infants

17.
Chinese Pediatric Emergency Medicine ; (12): 231-235, 2016.
Article in Chinese | WPRIM | ID: wpr-486668

ABSTRACT

Objective To explore the value of amplitude-integrated electroencephalography(aEEG) in diagnosis and prognosis in term newborns with brain injury.Methods One hundred and thirty consecutive patients with brain injury admitted in NICU were prospectively enrolled in the study from Nov 2013to Apr 2015.The monitoring of aEEG was done at 1d,4d,7d,respectively.Clinical data were collected and com-pared with the result of aEEG.Results All the cases of newborns with abnormal aEEG background:discon-tinuous voltage(109cases),continuous low voltage(12cases),flat(4cases).The epileptic activity were re-corded in 33cases,and 15cases showed burst-suppression;sleep wake cycle:mature(32cases),immature (54cases),no sleep wake cycle(39cases).The judgment of abnormal level:70cases had mildly abnormal aEEG,severe abnormalities 60cases,and no significant difference in different types of diseases(x2=6.176, P=0.19).Recent prognosis:the death of mild and severe abnormalities were 1case,12cases,respectively, there were significant differences(x2=12.76,P﹤0.001).Developmental quotient(DQ)of these newborns were followed up for more than 6months,and there were significant differences in mild,severe abnormal aEEG in them with DQ≥85and DQ﹤85(x2=33.195,P﹤0.001).The sensitivity of aEEG in severe abnor-mal aEEG was 68.75%,the specificity was 78.68%,and the positive and negative predictive values of aEEG were 77.19%and 70.58%,respectively.The results of aEEG classification and sleep wake cycle were corre-lated with the prognosis of the patients(r=0.505,0.507,respectively,P﹤0.001).Conclusion aEEG can be used to monitor brain function,and it is helpful to evaluation of early diagnosis and prognosis.

18.
Chinese Journal of Applied Clinical Pediatrics ; (24): 1102-1105, 2015.
Article in Chinese | WPRIM | ID: wpr-477771

ABSTRACT

Objective To investigate the early diagnostic and the prognostic value of amplitude integrated e-lectroencephalography(aEEG)in neonates with hypoxic - ischemic encephalopathy( HIE). Methods The medical data subjects were admitted to the Department of Neonatology,Children's Hospital of Hebei Province from January 2012 to December 2013. Ninety term infants with HIE were divided into 3 groups(mild,moderate and severe),and they were investigated respectively by aEEG monitoring within 12 hours after birth,and all of the infants accepted cranial magnetic resonance imaging(MRI)on 3 to 7 days after birth. The outcomes by MRI were divided into 3 groups(mildly abnor-mal,moderately abnormal and severely abnormal). The findings of aEEG monitoring were divided into 3 groups(nor-mal,mildly abnormal and severely abnormal),the correlation between the findings of aEEG and the severity of HIE was analyzed. The correlation between the results of aEEG and severity of MRI were analyzed. Behavior evaluation of infants with HIE were applied by Neonatal Behavioral Neurological Assessment(NBNA)score on 7 d,14 d,28 d after birth and prognostic evaluation of children with HIE was conducted based on Children's Development Center of China infants intelligence development test at 12 months of age. Results (1)Among 90 term infants with HIE,44 cases(48. 9% ) had mild HIE,29 cases(32. 2% )moderate and 17 cases(18. 9% )severe HIE;49 cases(54. 4% )had mildly ab-normal MRI,23 cases(25. 6% )moderately abnormal MRI and 18 cases(20. 0% )severely abnormal MRI;43 cases (47. 8% )had normal aEEG,25 cases(27. 8% )mildly abnormal and 22 cases(24. 4% )severely abnormal aEEG. (2)The findings of aEEG classification were correlated with the severity of HIE(r = 0. 970 7,P ﹤ 0. 001). The findings of aEEG classification were correlated with the severity of MRI(r = 0. 933 5,P ﹤ 0. 001).(3)NBNA score with severe-ly abnormal aEEG was obviously lower than that with the mildly abnormal aEEG. NBNA score on 7 d after birth:(14. 1 ± 4. 2)scores vs(32. 2 ± 2. 3)scores,on 14 d after birth:(17. 8 ± 5. 6)scores vs(33. 4 ± 2. 1)scores,on 28 d after birth:(18. 9 ± 8. 4)scores vs(34. 6 ± 2. 6)scores,and the difference was statistically significant(all P ﹤0. 05).(4)The infants with HIE were followed at 12 months of age. The development quotient mental development in-dex(MDI)and psychomotor development index(PDI)with severely abnormal aEEG were obviously lower than that with the mildly abnormal aEEG[MDI(65. 1 ± 4. 1)scores vs(89. 1 ± 6. 7)scores,PDI(67. 5 ± 10. 1)scores vs(90. 7 ± 8. 3)scores],the difference was statistically significant(all P ﹤ 0. 05). Conclusion It is indicated that aEEG can early evaluate the severity of HIE and help predict its neurological outcome.

19.
J. pediatr. (Rio J.) ; 90(2): 143-148, Mar-Apr/2014. tab, graf
Article in English | LILACS | ID: lil-709808

ABSTRACT

OBJECTIVE: to test the clinical utility of an early amplitude-integrated electroencephalography (aEEG) to predict short-term neurological outcome in term newborns at risk of neurology injury. METHODS: this was a prospective, descriptive study. The inclusion criteria were neonatal encephalopathy, neurologic disturbances, and severe respiratory distress syndrome. Sensitivity, specificity, positive and negative predictive values, and likelihood ratio (LR) were calculated. Clinical and demographic data were analyzed. Neurological outcome was defined as the sum of clinical, electroimaging, and neuroimaging findings. RESULTS: ten of the 21 monitored infants (48%) presented altered short-term neurologic outcome. The aEEG had 90% sensitivity, 82% specificity, 82% positive predictive value, and 90% negative predictive value. The positive LR was 4.95, and the negative LR was 0.12. In three of 12 (25%) encephalopathic infants, the aEEG allowed for a better definition of the severity of their condition. Seizures were detected in eight infants (38%), all subclinical at baseline, and none had a normal aEEG background pattern. The status of three infants (43%) evolved and required two or more drugs for treatment. CONCLUSIONS: in infants with encephalopathy or other severe illness, aEEG disturbances occur frequently. aEEG provided a better classification of the severity of encephalopathy, detected early subclinical seizures, and allowed for monitoring of the response to treatment. aEEG was a useful tool at the neonatal intensive care unit for predicting poor short-term neurological outcomes for all sick newborn. .


OBJETIVO: testar a utilidade clínica do aEEG precoce em recém-nascidos a termo com risco delesão neurológica, para prever resultados neurológicos de curto prazo. MÉTODOS: estudo prospectivo e descritivo. Os critérios de inclusão foram encefalopatia neonatal, distúrbios neurológicos e bebês com SARA grave. Sensibilidade, especificidade, valor preditivo positivo e negativo e razão de verossimilhança foram calculados. Dados clínicos edemográficos foram analisados. O resultado neurológico foi definido como a soma de conclusões clínicas, de eletro e de neuroimagem. RESULTADOS: dentre os 21 neonatos monitorados, dez (48%) apresentaram resultado neurológico de curto prazo alterado. O aEEG apresentou sensibilidade de 90%, especificidade de 82%, valor preditivo positivo de 82% e valor preditivo negativo de 90%. A VR positiva foi de 4,95, e a RV negativa de 0,12. Em três dos 12 (25%) neonatos com encefalopatia foi possível definir melhora gravidade de sua condição pelo aEEG. Foram detectadas convulsões em oito neonatos (38%), todas subclínicas no início do estudo, e nenhum apresentou um padrão histórico normal no aEEG. O estado de três neonatos (43%) evoluiu e exigiu dois ou mais medicamentos para tratamento. CONCLUSÕES: em neonatos com encefalopatia ou outra doença grave, os distúrbios no aEEGocorrem com mais frequência. O aEEG forneceu uma classificação melhor da gravidade da encefalopatia, detectou convulsões subclínicas precoces e permitiu que fosse feito o monitoramento da resposta ao tratamento. O aEEG é uma ferramenta útil para prever resultados neurológicos de curto prazo em todos os bebês doentes na UTIN. .


Subject(s)
Female , Humans , Infant, Newborn , Male , Electroencephalography/methods , Hypoxia-Ischemia, Brain/physiopathology , Respiratory Distress Syndrome, Newborn/physiopathology , Confidence Intervals , Hypoxia-Ischemia, Brain/diagnosis , Intensive Care Units, Neonatal , Predictive Value of Tests , Prospective Studies , Risk Factors , Respiratory Distress Syndrome, Newborn/diagnosis , Sensitivity and Specificity , Seizures/diagnosis , Term Birth , Time Factors
20.
Chinese Pediatric Emergency Medicine ; (12): 268-270, 2014.
Article in Chinese | WPRIM | ID: wpr-447730

ABSTRACT

Objective To discuss the value of amplitude integrated electroencephalographic(aEEG) monitoring in early neonatal brain injury and prognosis of asphyxia neonatal.Methods Seventy-two subjects of asphyxia children were divided into mild asphyxia group and severe asphyxia group.We selected 45 cases of full-term healthy children born in our hospital as control group in the same term.All the objects were observed by aEEG monitoring within 6 hours.According to the aEEG results,all the samples were redivided into normal aEEG group,mildly abnormal aEEG group and severely abnormal aEEG group.All subjects were followed-up to observe their physical growth and the nervous system development at one-year-old.Results Incidence of abnormal aEEG in mild asphyxia group and severe asphyxia group was significantly higher than that of control group(x2 =26.996,47.07,P < 0.01,respectively),and incidence of abnormal aEEG in severe asphyxia group was significantly higher than that of mild asphyxia group (x2 =7.76,P < 0.05).There was no significant difference in all subjects about physical development (height and weight) (P > 0.05),all of their mental index and developmental quotient were lower in severely abnormal aEEG group (x2 =13.450,15.285,P < 0.01,respectively).Conclusion aEEG can be used to assess the early neonatal brain injury of asphyxia neonatal,and it can be used to predict the prognosis of neonatal asphyxia based on the abnormal degree of aEEG.

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