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Objective:To study the neurodevelopmental prognosis and risk factors for adverse outcomes of neonatal seizure.Methods:From December 2019 to November 2020, infants with neonatal seizure diagnosed in our hospital were enrolled in this retrospective study. Based on survival or not, mental development index (MDI), psychomotor development index (PDI) and seizure episodes at the age of 12 months, the infants were assigned into adverse outcome group and normal outcome group. The risk factors for adverse outcomes were statistically analyzed.Results:A total of 75 infants were enrolled,including 39 cases in adverse outcome group and 36 in normal outcome group. 69 cases showed abnormal amplitude-integrated electroencephalogram(aEEG), including 38 mildly abnormal cases,23 moderately abnormal cases and 8 severely abnormal cases, The incidences of adverse outcomes and mortality rates were significantly different ( P<0.05) among infants with different severity levels of aEEG abnormalities and the severity levels of aEEG abnormalities were positively correlated with adverse outcomes ( r=0.367, 0.471, P<0.05).Univariate analysis showed that adverse outcome group had significantly higher incidences of chorioamnionitis, seizure onset age ≤3 d, 5 min Apgar score ≤3, cranial ultrasound abnormalities, brain MR abnormalities and aEEG abnormalities than normal outcome group ( P<0.05).Logistic regression analysis showed that seizure onset age ≤3 d ( OR=3.988, 95% CI 1.376-11.674), abnormal brain MR ( OR=3.296, 95% CI 2.383-17.377) and bilirubin encephalopathy ( OR=3.792,95% CI 2.110-13.216) were independent risk factors for adverse outcomes of neonatal seizure. Conclusions:For neonatal seizure, the infants with more severe abnormal aEEG will have higher incidences of adverse outcomes and mortality. Seizure onset age ≤3 d, brain MR abnormalities and bilirubin encephalopathy were independent risk factors for adverse outcomes of neonatal seizure.
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Objective:To explore the value of video-electroencephalography (VEEG) combined with amplitude-integrated electroencephalography (aEEG) in evaluating the condition and prognosis of neonatal hyperbilirubinemia brain injuries.Methods:A total of 120 children with hyperbilirubinemia treatedin the Central Hospital of Enshi Tujia and Miao Autonomous Prefecture from July 2019 to July 2020 were enrolled. According to MRI with or without T 1 weighted imging (T 1WI) hyperintensity changes in the globus pallidus, they were divided into the brain injury group (52 cases) and the normal group(68 cases). According to the severity of brain injury, the brain injury group was divided into bilirubin encephalopathy group (23 cases) and subclinical bilirubin brain injury group (29 cases). According to the scores of Gesell Development Scale, the brain injury group was divided into good prognosis group (37 cases)and poor prognosis group (15 cases). The diagnostic value in brain injury with hyperbilirubinemia, the evaluation of the severity of brain injury and the predictive value of VEEG and aEEG were analyzed. Results:The abnormal rates of VEEG and aEEG in the brain injury group were higher than those in the normal group: 76.92% (40/52) vs. 8.82% (6/68), 80.77% (42/52) vs. 11.76% (8/68), the differences were statistically significant ( χ2 = 57.81 and 57.73, P<0.01). The abnormal rates of VEEG and aEEG in bilirubin encephalopathy group were higher than those in subclinical bilirubin brain injury group: 91.30% (21/23) vs. 65.52% (19/29), 95.65% (22/23) vs. 68.97% (20/29), the differences were statistically significant ( χ2 = 4.80 and 5.88, P<0.05). There was no significant difference in abnormal rates of VEEG and aEEG between the good prognosis group and poor prognosis group ( P>0.05). The results of operating characteristic curve analysis showed that the areas under the curve of VEEG combined with aEEG in the diagnosis of brain injury with hyperbilirubinemia, evaluation of the severity of brain injury, predicting the prognosis of children were higher than those of each examination method used alone ( P<0.05). Conclusions:VEEG combined with aEEG has diagnostic value for neonatal brain injury with hyperbilirubinemia, and has evaluation value for severity and prognosis of the disease.
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Neonatal electroencephalogram (EEG) monitoring guidelines have been published by American Clinical Neurophysiology Society, and the expert consensus on neonatal amplitude-integrated EEG (aEEG) has also been published in China. It is difficult to strictly follow the guidelines or consensus for EEG monitoring in different levels of neonatal units due to a lack of EEG monitoring equipment and professional interpreters. The Subspecialty Group of Neonatology, Society of Pediatrics, Chinese Medical Association, established an expert group composed of professionals in neonatology, pediatric neurology, and brain electrophysiology to review published guidelines and consensuses and the articles in related fields and propose grading management recommendations for EEG monitoring in different levels of neonatal units. Based on the characteristics of video EEG and aEEG, local medical resources, and disease features, the expert group recommends that video EEG and aEEG can complement each other and can be used in different levels of neonatal units. The consensus also gives recommendations for promoting collaboration between professionals in neonatology, pediatric neurology, and brain electrophysiology and implementing remote EEG monitoring.
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Child , Humans , Infant, Newborn , Consensus , Electroencephalography , Intensive Care Units, Neonatal , Neonatology , SeizuresABSTRACT
Objective:To analyze the association between the perioperative amplitude-integrated electroencephalogram(aEEG)of neonates with congenital heart disease(CHD) and their neurodevelopmental outcome at 2 years of age.Methods:Neonates with CHD ( n=32) who were admitted to the neonatal intensive care unit at our hospital were included.All patients had undergone cardiac surgery during the neonatal period and preoperative and postoperative aEEG monitoring.The background pattern, sleep-wake cycle(SWC) pattern and seizure activity (including electrographic seizure activity) were used to quantify cerebral activity related to brain function.Infants with CHD were enrolled prospectively to follow up at 2 years old.Participants were assessed at 2 years old via the Bayley Scale of Infant Development. Results:A total of 32 neonates were enrolled in the study.Compared with average of normal population, psychomotor development index(PDI) of participants decreased significantly ( P<0.05). The mental development index(MDI) of patients with abnormal behavior was significantly lower.The longer length of ICU, longer time of ventilation, and the older age of father were risk factors of lower PDI.The MDI (76.29±23.38) of cases with mild abnormal preoperative background pattern were significantly lower than that with normal background pattern (97.37±22.65)( P=0.039). The PDI (74.00±20.09) of cases with abnormal preoperative background pattern was significantly lower than that (92.12±20.42) with normal preoperative background pattern ( P=0.046). The PDI (85.04±20.384) of cases with immature preoperative SWC were significantly lower than that with the normal preoperative SWC(110.00±16.55) ( P=0.027). Conclusion:Abnormal perioperative background pattern and SWC are markers for neurodevelopment disorder.The perioperative aEEG is a useful bedside tool that helps predict outcomes in infants underwent heart surgery.
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Objective:To analized brain function monitoring results with amplitude- integrated electroencephalogram (aEEG) in neonatal ward.Methods:The clinical data of 1 370 newborns received aEEG monitoring in Neonatal Department of our hospital from September 2017 to August 2019 were retrospectively analyzed.Results:Among 1 370 neonates undergoing aEEG examination,abnormalities were demonstrated in 308 cases with an overall abnormal rate of 22.5%. The abnormal rate in critical neonates was 27.7% (240/868),while that in non-critical neonates was 13.6% (68/502) (χ2=36.304, P<0.01). Neonates with convulsion had the highest aEEG abnormal rate (57.1%, 16/28), followed by small for gestational age (SGA) (48.8%, 20/41), asphyxia (41.5%, 49/118), premature (31.1%, 92/296)and erythrocytosis (29.7%, 11/37). Among 308 cases of abnormal aEEG, the main types of abnormalities were abnormal background activity in 229 cases (74.4%),insignificant sleep-wake cycles in 139 cases (45.1%) and abnormal original EEG in 117 cases (40.0%). Among 308 cases of abnormal aEEG, 38.0%(117 cases) had corresponding clinical manifestations and 62.0%(191 cases) had no clinical manifestations. The sensitivity of aEEG monitoring is 73.6%(117/159), and the specificity is 84.2%(1 020/1 211). Conclusions:The abnormal rate of aEEG is high in hospitalized neonates,especially in critically ill neonates. It is necessary to carry out routine aEEG examination for hospitalized neonates in order to early detect brain function damage.
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OBJECTIVES@#To study the association of amplitude-integrated electroencephalogram (aEEG) and the quantitative indices biparietal width (BPW) and interhemispheric distance (IHD) of cranial magnetic resonance imaging (cMRI) with short-term neurodevelopment in moderately and late preterm infants.@*METHODS@#A total of 104 moderately and late preterm infants who were admitted to the neonatal intensive care unit from September 2018 to April 2020 were selected as the subjects for this prospective study. The Naqeeb method and sleep-wake cycling (SWC) were used for aEEG assessment within 72 hours after birth. cMRI was performed at the corrected gestational age of 37 weeks. BPW and IHD were measured at the T2 coronal position. At the corrected age of 6 months, the Developmental Screening Test for Child Under Six (DST) was used to follow up neurodevelopment. According to developmental quotient (DQ), the infants were divided into a normal DST group (78 infants with DQ≥85) and an abnormal DST group (26 infants with DQ<85). Related indices were compared between the two groups. The association between aEEG and cMRI was evaluated.@*RESULTS@#Compared with the normal DST group, the abnormal DST group had significantly lower aEEG normal rate and SWC maturation rate (@*CONCLUSIONS@#For moderately and late preterm infants, aEEG within 72 hours after birth and the quantitative indices BPW and IHD of cMRI at the corrected gestational age of 37 weeks may affect their neurodevelopmental outcome at the corrected age of 6 months.
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Humans , Infant , Infant, Newborn , Electroencephalography , Gestational Age , Infant, Premature , Magnetic Resonance Imaging , Prospective StudiesABSTRACT
Objective:To examine whether the combination of quantitative regional apparent diffusion coefficient (ADC) and amplitude-integrated electroencephalogram (aEEG) can predict the outcome of comatose patients with severe traumatic brain injury (sTBI).Methods:A prospective study was conducted. The patients with coma caused by sTBI [Glasgow coma scale (GCS) < 8] admitted to Suqian First Hospital from January 2016 to June 2019 were enrolled. All patients underwent aEEG examination and magnetic resonance imaging (MRI) scan within 1 week after emergency treatment. The ADC values of 9 regions of interest (frontal gray matter and white matter, parietal gray matter and white matter, temporal gray matter and white matter, caudate nucleus of basal ganglia, lenticular nucleus and thalamus) were measured by head MRI, and the mean ADC values of frontal lobe, parietal lobe, temporal lobe and basal ganglia were calculated respectively. According to the follow-up results after 12 months, the differences of each index between patients with poor prognosis [Glasgow outcome score (GOS) 1-2] and patients with good prognosis (GOS 3-5) were compared; the receiver operating characteristic curve (ROC curve) was drawn to evaluate the predictive ability of aEEG and ADC for the good prognosis of patients with sTBI, and the predictive value of the combination of aEEG and ADC.Results:A total of 52 patients with sTBI were enrolled, with mean age of (36.7±13.9) years old, 35 of whom were male. Within 12 months follow-up, 29 patients had achieved favorable outcomes and 23 patients had unfavorable outcome. There were 21, 17 and 14 patients with aEEG , and grade, respectively, and 19, 10 and 0 patients had good prognosis respectively. ADC values of 9 regions of interest in patients with good prognosis were significantly higher than those in patients with poor prognosis (×10 -6 mm 2/s: 924±107 vs. 531±87 in frontal gray matter, 804±95 vs. 481±74 in frontal white matter, 831±93 vs. 683±72 in temporal gray matter, 726±87 vs. 654±63 in temporal white matter, 767±79 vs. 690±75 in parietal gray matter, 716±84 vs. 642±62 in parietal white matter, 689±70 vs. 465±68 in caudate nucleus, 723±84 vs. 587±71 in lenticular nucleus, 807±79 vs. 497±67 in thalamus, all P < 0.01). ROC curve analysis showed that the area under ROC curve (AUC) of aEEG for predicting good prognosis of sTBI patients was 0.826, when the cut-off value of aEEG was < 1.5, the sensitivity was 94.7% and the specificity was 72.8%. Among the ADC value prediction abilities in the interested areas, the prediction of ADC value in frontal lobe and basal ganglia area were better than that in sTBI patients. AUC was 0.817 and 0.903 respectively. The best cut-off values were > 726×10 -6 mm 2/s and > 624×10 -6 mm 2/s respectively, the sensitivity of predicting prognosis were both 100%, and the specificity was 63.4% and 61.8%. A model combining frontal ADC and basal ganglia ADC with aEEG was 91.0% sensitive and 93.7% specific for favorable outcome of sTBI patients. Conclusion:Combination of the quantitative measurement of regional ADC and aEEG may be useful for predicting the outcome of the patients with sTBI.
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Brain injury is the main cause of neonatal death and neurological dysfunction in infants,the sequelae of which are more common,and bring serious harm to the society and the family of the patients.Therefore,early detection of brain damage in high-risk infants,evaluation of its severity and guidance for further treatment have become a hot topic in recent years.People are coming to realize the importance of continuous EEG monitoring of newborns with encephalopathy.Amplitude-integrated electroencephalogram (aEEG) is easy to operate,intuitive and easy to read.It is suitable for prolonged tracing and is suitable for continuous monitoring of brain function in neonatal intensive care unit.This article reviews the aEEG application in clinic,including the newborn with hypoxic ischemia induced brain injury,selection of appropriate patient,hypothermia treatment,neonatal convulsions,premature brain cerebral injury,premature brain maturity assessment,other high-risk infants brain damage diagnosis and efficacy evaluation.
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Amplitude-integrated electroencephalogram(aEEG)is a new method for bedside monitoring of cerebral function which is gradually used in clinical routine.Although the grading criteria has not been unified, some studies suggest that aEEG recorded during the very early period after birth can not only indicate the maturation of brain development, but also provide values of clinical application on the early identification, determination of the severity and long-term prognosis assessment of brain injury(e.g.white matter injury, intracranial hemorrhage, etc.)in premature infants.
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Objective To study the characteristics of amplitude integrated electroencephalogram (aEEG) in full-term newborns with different blood glucose levels,so as to provide clinical evidence for assessing brain function after hypoglycemia.Method Full-term neonates admitted to the neonatal ward of the Third Xiangya Hospital of Central South University from June 2014 to May 2016 with the initial diagnosis of hypoglycemia were enrolled to hypoglycemia group.According to the lowest level of blood glucose,infants were assigned to three subgroups,severe hypoglycemia group (＜ 1.1 mmol/L),moderate hypoglycemia group (1.1 ～ ＜2.2 mmol/L),and mild hypoglycemia group (2.2 ～ ＜2.8 mmol/L).Time matched asymptomatic term infants,who were admitted to the neonatal ward due to maternal high risks and with normal blood glucose after birth,were enrolled to control group.A 4 h continuous aEEG monitoring was completed for each infant in hypoglycemia group within 12 h after the blood glucose level stabilized.The newborns in control group were given aEEG examination 72 ～ 120 h after birth,the duration of monitoring was also 4 h.The aEEG scoring was completed and compared by rank sum test.Result A total of 83 neonates were enrolled in hypoglycemia group,including 11 with severe hypoglycemia,32 with moderate hypoglycemia,and 40 with mild hypoglycemia.Another 26 neonates with normal blood glucose level were enrolled in control group.The incidence of pregnancy-induced maternal blood glucose elevation was statistically significant among each group (P ＜ 0.05).The duration of neonatal hypoglycemia in severe hypoglycemia group was longer than that in moderate hypoglycemia group and mild hypoglycemia group [38.3 (20.7,50.4) h vs.20.4(15.3,22.6) h,13.7 (7.8,19.4) h] (P＜ 0.05).The range of glucose level in severe hypoglycemia group was larger than that in mild and moderate hypoglycemia group [5.0 (4.0,5.5) mmol/Lvs.3.5 (3.0,3.9) mmol/L,3.3 (2.8,3.8) mmol/L] (P ＜ 0.05),but there was no significant difference in the onset of first hypoglycemia between groups (P ＞ 0.05).The aEEG score showed that there was significant difference in total score and sleep-wake cycle score between groups (P ＜ 0.05).The score of sleep-wake cycle in severe hypoglycemia group was significantly lower than that in moderate hypoglycemia group or in mild hypoglycemia group or in the control group (P ＜ 0.05),while there was no significant difference between moderate and mild hypoglycemia groups,and between moderate hypoglycemia and control group (P ＞ 0.05).Conclusion Severe hypoglycemia can lead to neonatal aEEG changes,mainly in the sleep-wake cycle changes.
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Objective To study the predictive value of continuous amplitude-integrated electroencephalogram (aEEG) monitoring for the neurodevelopment outcome in infants with hypoxic-ischemic encephalopathy (HIE) receiving hypothermia treatment.Method From April 2014 to May 2016,neonates admitted to our NICU with HIE receiving hypothermia treatment were continuously monitored using aEEG for 96 h,and assigned into moderately and severely abnormal groups according to aEEG results.The aEEG results before hypothermia treatment,within 24 h,48 h,72 h and 96 h after hypothermia treatment were recorded.The Bayley Scales of Infant Development Ⅱ examination was performed at 6 months of age.The sensitivity,specificity,positive and negative predictive values and Youden's index of aEEG for poor outcome at these timepoints was compared.Result A total of 30 neonates were enrolled.Among them 13 were moderately abnormal and 17 were severely abnormal.The gender,gestational age,birth weight and delivery method between two groups were similar (P ＞ 0.05).The 1 min Apgar score,arterial pH,base excess (BE) were significantly lower in the severely abnormal group (P ＜ 0.05).The neurodevelopment assessment at 6 months of age showed unfavorable outcomes in 16 cases,while the remaining 14 cases had generally good outcomes.The sensitivity and specificity of aEEG before hypothermia treatment for the prediction of poor outcome was 81.3％ and 71.4％ respectively.The sensitivity and negative predictive values of aEEG within 24 and 48 after hypothermia treatment for poor outcome was 100％.The Youden's index of aEEG within 72 h after hypothermia treatment for abnormal outcome was the highest 0.661.Conclusion The aEEG before hypothermia treatment alone is not a reliable indicator of poor outcomes in HIE neonates.The aEEG within 72 h after hypothermia is better.Continuous aEEG monitoring during hypothermia in HIE infants is very important because it provides reliable prediction of outcome.
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Continuous electroencephalogram(cEEG) was used to evaluate the degree and prognosis of brain function injury, to find epileptic seizures and non-convulsive status epilepticus, to monitor the response of anticonvulsant drugs and hypothermia,and to identify non-epileptic events in coma patients in ICU. The condition of critical children in PICU is more complex, and the interpretation of cEEG results requires the full communication and close cooperation between neuroelectrophysiological professionals and ICU doctors. Amplitude integrated electroencephalogram is a real-time and intuitive method,which is relative-ly easy to be grasped by the PICU staff and help to timely detection and treatment of some severe illness change,so it is an important supplement to cEEG,but cannot replace the original EEG analysis.
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Objective To study the effects of hypothermia therapy on coagulopathy in neonates with hypoxic-ischemic encephalopathy(HIE) of different degrees.Methods Twenty-five newborns with HIE were divided into 2 groups (moderate HIE group and severe HIE group) by amplitude integrated electroencephalogram(aEEG).The platelet (PLT) count,activated partial thromboplastin time (APTT),prothrombin time(PT),thrombin time(TT),fibrinogen (Fbg) and international normalized ratio (INR) were measured before hypothermia therapy and those after 24 hours,48 hours,72 hours after hypothermia therapy were collected.The hematological parameters of 2 groups were analyzed by repeated measurement analysis of variance.Results The APTT(t=2.239,P0.05)showed no statistically significant difference between 2 groups after hypothermia therapy.The differences in INR(F=12.470,P0.05) between 2 groups.The differences in PLT(F=32.420,P0.05).But the degree of brain injury and time had interactive effects in PT(F=3.374,P0.05).Conclusion The coagulopathy function is worse in neonates with severe HIE in hypothermia therapy which may aggravate the hemorrhage risk.And the effect of hypothermia on neonates with moderate HIE is less evident.So hierarchical intervention on coagulopathy in neonates with HIE during hypothermia should be adopted to relieve the hemorrhage risk.
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Brain injury is one of the most common diseases in PICU.Bedside electroencephalogram monitoring is the most commonly used to evaluate cerebral function.Bedside electroencephalogram monitoring includes continuous electroencephalogram,video electroencephalogram and cerebral function trends,such as amplitude integrated electroencephalogram,envelope and band power.
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Objective To explore the changes of amplitude integrated electroencephalogram (aEEG) during brain development in premature.Methods One hundred and forty-eight premature (gestational age 28-36 weeks) were selected.According to their gestational ages,148 premature were divided into 28-30 weeks group(40 cases),with 21 male,19 female;＞30-33 weeks group (49 cases),with 25 male,24 female;＞33-36 weeks group (59 cases),33 male,26 female.At the same time,40 cases of gestational age 37-40 weeks full-term newborns were selected as control group,with 23 male,17 female.Olympic CFM 6000 cerebral function monitor(produced by the American Natus company) was used to detect the changes of their aEEG,and analysis of the changes of aEEG were conducted.The first monitor was performed 3 days after birth,then once a week,monitoring for 2 hours each time,till the premature were discharged from hospital.The average of the monitoring data was obtained as a result for the analysis,and data analysis was conducted by using SAS 9.0 statistical software.Results The sleep-wake cycle continuity voltage positive rate and cycle occurrence rate of the 28-30 weeks,＞ 30-33 weeks,＞ 33-36 weeks premature were significantly lower than those of the 37-40 weeks full-term newborns (all P ＜ 0.05).The 28-30 weeks,＞ 30-33 weeks,＞ 33-36 weeks premature spectrun lower bound voltage value of quiet sleep cycle and activity sleep cycle were significantly lower than those of the 37-40 weeks full-term newborns (all P ＜ 0.05).The 28-30 weeks,＞ 30-33 weeks,＞ 33-36 weeks premature spectrum width of quiet sleep cycle and activity sleep cycle were significantly wider than the 37-40 weeks full-term newborns (F =13.444,11.982,all P ＜ 0.05).The 28-30 weeks,＞ 30-33 weeks,＞ 33-36 weeks premature total duration of sleep cycle were significantly higher than the 37-40 weeks full-term newborns (F =12.451,P ＜ 0.05).Conclusions With the increase of gestational age,premature brain development becomes gradually mature,and aEEG can reflect the degree of premature brain development to some extent.
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Objective To explore the characteristic of early evaluation of patients with amplitude-integrated electroencephalogram (aEEG) on brain function prognosis after cardiopulmonary cerebral resuscitation (CPCR). Methods A retrospective analysis of the clinical data of patients with adult CPCR in intensive care unit (ICU) of Henan Provincial People's Hospital from March 2016 to March 2017 was performed. The length of stay, recovery time, acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score, aEEG and Glasgow coma scale (GCS) within 72 hours were recorded. The main clinical outcome was the prognosis of brain function (Glasgow-Pittsburgh cerebral performance category, CPC) in patients with CPCR after 3 months. Relationship between aEEG and GCS and their correlation with brain function prognosis was analyzed by Spearman rank correlation analysis. The effects of aEEG and GCS on prognosis of brain function were evaluated by Logistic regression analysis. The predictive ability of aEEG and GCS for brain function prognosis was evaluated by receiver operating characteristic (ROC) curve.Results A total of 31 patients with CPCR were enrolled, with 18 males and 13 females; mean age was (41.84±16.96) years old; recovery time average was (19.42±10.79) minutes; the length of stay was (14.84±10.86) days; APACHE Ⅱ score 19.29±6.42; aEEG grade Ⅰ(normal amplitude) in 7 cases, grade Ⅱ (mild to moderate abnormal amplitude) in 13 cases, grade Ⅲ (severe abnormal amplitude) in 11 cases; GCS grade Ⅰ (9-14 scores) in 7 cases, grade Ⅱ (4-8 scores) in 14 cases, grade Ⅲ (3 scores) in 10 cases; 19 survivals, 12 deaths; the prognosis of brain function was good (CPC 1-2) in 8 cases, and the prognosis of brain function was poor (CPC 3-5) in 23 cases. There was no significant difference in age, gender, recovery time, length of stay and APACHE Ⅱ score between two groups with different brain function prognosis, while aEEG grade and GCS grade were significantly different. Cochran-Armitage trend test showed that the higher the grade of aEEG and GCS, the worse the prognosis of CPCR patients (bothP-trend < 0.01). With the increase in GCS classification, the classification of aEEG was also increasing (r = 0.6206,P = 0.0003). Both aEEG and GCS were positively correlated with the prognosis of brain function (r1 = 0.7796,P1 < 0.0001;r2 = 0.7021,P2 < 0.0001). Univariate Logistic regression analysis showed that aEEG and GCS had significant effect on early brain function prognosis [aEEG: odds ratio (OR) = 37.234, 95％confidence interval (95％CI) = 3.168-437.652,P = 0.004, GCS:OR = 12.333, 95％CI = 1.992-76.352,P = 0.007]; after adjusting for aEEG and GCS, only aEEG had significant effect on the early prognosis of brain function (OR = 26.932, 95％CI = 1.729-419.471,P = 0.019). The ROC curve analysis showed that in the evaluation of the prognosis of CPCR patients with brain function, the area under ROC curve (AUC) of aEEG was 0.913, when the cut-off value of aEEG was 1.5, the sensitivity was 95.7％ and the specificity was 75.0％. The AUC of GCS was 0.851, the best cut-off value was 1.5, the sensitivity was 91.3％ and the specificity was 62.5％.Conclusion aEEG and GCS scores have a good correlation in the evaluation of brain function prognosis in patients with CPCR, the accuracy of aEEG in the early evaluation of the prognosis of patients with CPCR is higher than the GCS score.
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Objective To explore the characteristic of early evaluation of patients with amplitude-integrated electroencephalogram (aEEG) on brain function prognosis after cardiopulmonary cerebral resuscitation (CPCR). Methods A retrospective analysis of the clinical data of patients with adult CPCR in intensive care unit (ICU) of Henan Provincial People's Hospital from March 2016 to March 2017 was performed. The length of stay, recovery time, acute physiology and chronic health evaluation Ⅱ (APACHE Ⅱ) score, aEEG and Glasgow coma scale (GCS) within 72 hours were recorded. The main clinical outcome was the prognosis of brain function (Glasgow-Pittsburgh cerebral performance category, CPC) in patients with CPCR after 3 months. Relationship between aEEG and GCS and their correlation with brain function prognosis was analyzed by Spearman rank correlation analysis. The effects of aEEG and GCS on prognosis of brain function were evaluated by Logistic regression analysis. The predictive ability of aEEG and GCS for brain function prognosis was evaluated by receiver operating characteristic (ROC) curve.Results A total of 31 patients with CPCR were enrolled, with 18 males and 13 females; mean age was (41.84±16.96) years old; recovery time average was (19.42±10.79) minutes; the length of stay was (14.84±10.86) days; APACHE Ⅱ score 19.29±6.42; aEEG grade Ⅰ(normal amplitude) in 7 cases, grade Ⅱ (mild to moderate abnormal amplitude) in 13 cases, grade Ⅲ (severe abnormal amplitude) in 11 cases; GCS grade Ⅰ (9-14 scores) in 7 cases, grade Ⅱ (4-8 scores) in 14 cases, grade Ⅲ (3 scores) in 10 cases; 19 survivals, 12 deaths; the prognosis of brain function was good (CPC 1-2) in 8 cases, and the prognosis of brain function was poor (CPC 3-5) in 23 cases. There was no significant difference in age, gender, recovery time, length of stay and APACHE Ⅱ score between two groups with different brain function prognosis, while aEEG grade and GCS grade were significantly different. Cochran-Armitage trend test showed that the higher the grade of aEEG and GCS, the worse the prognosis of CPCR patients (bothP-trend < 0.01). With the increase in GCS classification, the classification of aEEG was also increasing (r = 0.6206,P = 0.0003). Both aEEG and GCS were positively correlated with the prognosis of brain function (r1 = 0.7796,P1 < 0.0001;r2 = 0.7021,P2 < 0.0001). Univariate Logistic regression analysis showed that aEEG and GCS had significant effect on early brain function prognosis [aEEG: odds ratio (OR) = 37.234, 95％confidence interval (95％CI) = 3.168-437.652,P = 0.004, GCS:OR = 12.333, 95％CI = 1.992-76.352,P = 0.007]; after adjusting for aEEG and GCS, only aEEG had significant effect on the early prognosis of brain function (OR = 26.932, 95％CI = 1.729-419.471,P = 0.019). The ROC curve analysis showed that in the evaluation of the prognosis of CPCR patients with brain function, the area under ROC curve (AUC) of aEEG was 0.913, when the cut-off value of aEEG was 1.5, the sensitivity was 95.7％ and the specificity was 75.0％. The AUC of GCS was 0.851, the best cut-off value was 1.5, the sensitivity was 91.3％ and the specificity was 62.5％.Conclusion aEEG and GCS scores have a good correlation in the evaluation of brain function prognosis in patients with CPCR, the accuracy of aEEG in the early evaluation of the prognosis of patients with CPCR is higher than the GCS score.
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Objective To investigate the common pathogens of neonatal bacterial meningitis in the past 5 years,and to evaluate the brain injury in the acute phase through amplitude-integrated electroencephalogram (aEEG),brainstem auditory evoked potential (BAEP) and brain MRI.Methods Sixty children were selected from the past 5 years who were treated in Department of Neonatology,Guangzhou Women and Children's Medical Center in March 2011 to March 2015 as the objects of study.According to the results of etiological culture,the children were divided into streptococcus lactis group (14 cases),escherichia coli group (10 cases),other positive bacteria group (11cases) and culture-negative group (25 cases).The results of aEEG,BAEP and brain MRI of brain injury in the acute phase of these 4 groups were compared.Results Twenty-nine cases of the 60 patients (48.3％) showed positive blood culture,and 14 cases (23.3％) showed positive cerebrospinal fluid (CSF) culture.Streptococcus lactics and escherichia coli were found to be the most common pathogens that caused neonatal bacterial meningitis.By evaluating the cerebral function in the acute phase of 57 cases,it was found that aEEG total abnormal rate was 61.4％,escherichia coli group abnormal rate was 80.0％,while moderate to severe damage seemed to be the most remarkable feature.The abnormal rate was of statistical significance between escherichia coli group and culture-negative group (x2 =3.941,P =0.047).Forty-eight cases manifested potential anomaly evoked by brainstem auditory,with the total abnormal rate as 84.2％.A significant increase in the ratio of severe hearing loss was found in children with bacterial meningitis which was caused by escherichia coli and streptococcus agalactiae.The abnormal rate was of statistical significance between escherichia coli group and culture-negative group (x2 =4.399,P =0.036),and hearing damage caused by escherichia coli was more serious than that in other bacteria group.Of these 57 cases,MRI total abnormal rate was 77.2％,with hydrocephalus as the most common complication.Of the 44 abnormal cases,16 cases showed hydrocephalus,6 cases of which were from the escherichia coli group.The second most common complication was subdural effusion.And another 5 cases showed cerebral softening,3 cases of which were from the escherichia coli group.The data suggested that escherichia coli meningitis easily combined hydrocephalus and brain softening.Conclusions The main pathogens of neonatal bacterial meningitis is streptococcus agalactiae and escherichia coli.The brain injury in neonatal bacterial meningitis caused by escherichia coli is more serious than those caused by other pathogens.
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Objective To analyze the changes of electroencephalographic activities during fully automated simultaneous peripheral arteriovenous exchange transfusion(ET) in neonates with hyperbilirubinemia.Methods A total of 45 neonates who suffered from severe hyperbilirubinemia and underwent fully automated simultaneous peripheral arteriovenous exchange transfusion were studied from March 2009 to March 2016 in Neonatal Intensive Care Unit of Guangzhou Women and Children's Medical Center,and 46 ETs were performed in 45 babies who were divided into 2 groups according to the severity of hyperbilirubinemia:the encephalopathy group and the none-encephalopathy group.Nineteen patients were in the encephalopathy group,in which 11 were male and 8 were female.The other 26 patients were in the none-encephalopathy group,in which 15 were male and 11 were female.Changes in amplitude integrated electroencephalogram(aEEG) during ETs were analyzed,including background activities,sleep-wake cycle (SWC)and seizures.Results Forty-five patients with hyperbilirubinemia underwent 46 fully automated simultaneous peripheral arteriovenous ETs.As a result,total bilirubin dropped from (524.90 ± 110.96)μmol/L before ETs to (245.62 ±78.97) μmol/L after ETs,with clearance rate of 53.2％.And indirect bilirubin dropped from(486.16 ±90.39) μmol/L before ETs to(222.19 ± 79.49) μmoL/L after ETs,with clearance rate of 54.3％.On the other hand,there was no significant difference in the changes of electroencephalographic activities during ETs,including background activities (x2 =0.16,P ＞ 0.05),SWC (x2 =0.71,P ＞ 0.05) and seizures (x2 =0.30,P ＞ 0.05).However,there were significant difference in suppressions on background activities between the encephalopathy group and the none-encephalopathy group(Fisher's exact test P =0.042),though there were no significant statistical differences in SWC or seizures between the 2 groups (x2 =0.65,P ＞ 0.05;x2 =2.07,P ＞ 0.05,respectively).Conclusions In neonatal hyperbilirubinemia,fully automated simultaneous peripheral arteriovenous ET is safe and efficient without significant influence on electroencephalographic activities as a whole.However,background activities are more significantly depressed in infants of bilirubin encephalopathy than that of non-encephalopathy during ET.
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Objective To evaluate the values of amplitude-integrated electroencephalogram(aEEG) on the diagnosis of hypoxic ischemic encephalopathy(HIE),and the changes of aEEG in HIE with hypother-mia treatment.And to assess the therapeutic effect of hypothermia.Methods The changes of aEEG were continuously monitored before and after hypothermia treatment,and the proportions of various waveforms ap-pearing in aEEG were analyzed.Results A total of 90 cases were enrolled in this study,the changes of aEEG were monitored,including aEEG normal in 43 cases,mild abnormalities in 33 cases and severe abnor-malities in 14 cases.aEEG monitoring had a higher consistency with HIE grade and cranial MRI examination (Kappa ﹦0.584,P 〈0.001 ;Kappa ﹦0.590,P 〈0.001 ).The sensitivity,specificity,positive predictive val-ue,and negative predictive values of aEEG were high in predicting the severity of HIE.The index of with mild and severe abnormalities of aEEG was significant difference before and after the treatment of hypother-mia(P 〈0.05).Conclusion aEEG has a better evaluation effect on early diagnosis and severity assessing of HIE.Hypothermia can significantly reduce the proportion of abnormal aEEG after HIE,have a neuroprotective effect on the treatment of mild to moderate HIE.