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Prognostic Analysis Of EEG Grading In Children With Sepsis-related Encephalopathy

Posted on:2020-05-13Degree:MasterType:Thesis
Country:ChinaCandidate:S N QuFull Text:PDF
GTID:2404330590979698Subject:Clinical medicine
Abstract/Summary:PDF Full Text Request
Objectives: To explore the electroencephalogram(EEG)classifications of children with sepsis associated encephalopathy and its value to the evaluation of prognoses.Method: The EEGs of 103 cases of children with sepsis associated encephalopathy in our hospital from January 2011 to January 2018 were collected.The EEGs were classified by the Young Classification Criteria.And then the EEG classification,Glasgow scores and the prediction of prognosis were analyzed with the actual prognosis of children.Results: The mean of EEG classifications is 2.49±1.24,and the mean of Glasgow scores is 10.60 ± 4.50.Comparing the dead group with the survival group,Young Classification Criteria and Glasgow scores have significant differences(P<0.01),and they are negative correlations(r =-0.667,P<0.01).The sensitivity,the specificity and the accuracy of EEG classifications and Glasgow scores are 66.7%,95.2%,97.6%,96.3%,91.3% and 95.1%,which are no statistically significant differences(P>0.05).Conclusion: The EEG characteristics of children with sepsis associated encephalopathy exhibit sensitivity and specificity on the mental functions.
Keywords/Search Tags:EEG, Classifications, Sepsis associated encephalopathy, Children, Prognoses
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