Acute Encephalopathy With Febrile Convulsive Status Epilepticus (AEFCSE)

Shiomi, Masashi

doi:10.1016/b978-0-323-53088-0.00013-0

Cited by 4 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Brain imaging studies revealed that cerebral hemorrhage and cerebral infarction lesions were consistent with autopsy studies[20] [82]. Cerebrovascular damages could be found in the cadaveric brain tissues, appearing as cerebrovascular occlusion, microthrombus formation, and perivascular hemorrhage[23] [24]. Lesion damage showed stratified structural change from the outside to the inside, which is concentric structure of thalamic lesions[16] [37].…”

mentioning

confidence: 56%

Brain Complications with Influenza Infection in Children

Chen¹,

Li²,

Li³

et al. 2020

JBBS

View full text Add to dashboard Cite

Objectives: To summarize the characteristics and research progress of influenza-associated brain complications in children and provide references for early diagnosis and brain protection treatment. Methods: Studied published articles of influenza-associated neurocomplications in children from PubMed and summarizes them from epidemiology, clinical manifestations, diagnosis and treatment, and basic research progress. Results: Common brain complications in flu-children include febrile seizures, influenza-associated encephalopathy (IAE), acute or post-influenza encephalitis, and the most severe condition is acute necrotizing encephalopathy (ANE). However, the mechanism and relevant factors of influenza-associated brain damage have not been elucidated. Conclusion: Influenza could be accompanied by various brain lesion complications in dif ferent stages of the disease, some of which are life-threatening or leave severe neurological sequelae, such as ANE. Due to different brain injury mechanisms, specific early diagnosis and brain protection treatment for different complications are unclear or unanimous. Therefore, further classification and basic research are needed.

show abstract

mentioning

confidence: 56%

Brain Complications with Influenza Infection in Children

Chen¹,

Li²,

Li³

et al. 2020

JBBS

View full text Add to dashboard Cite

show abstract

“…Indeed, IAE is characterized by convulsions and coma [6,7,30], and death is not common [4]. Cadaver studies have shown cerebral vascular damage was found in patients with severe IAE, but necrotic changes were not seen [44,45]. Cerebrovascular involvement could be found in both severe IAE and ANE, that may be the reason of overlap between two of them.…”

Section: Discussionmentioning

confidence: 99%

Identification of neurological complications in childhood influenza: a random forest model

Li,

Xiao,

et al. 2024

BMC Pediatr

View full text Add to dashboard Cite

Background Among the neurological complications of influenza in children, the most severe is acute necrotizing encephalopathy (ANE), with a high mortality rate and neurological sequelae. ANE is characterized by rapid progression to death within 1–2 days from onset. However, the knowledge about the early diagnosis of ANE is limited, which is often misdiagnosed as simple seizures/convulsions or mild acute influenza-associated encephalopathy (IAE). Objective To develop and validate an early prediction model to discriminate the ANE from two common neurological complications, seizures/convulsions and mild IAE in children with influenza. Methods This retrospective case-control study included patients with ANE (median age 3.8 (2.3,5.4) years), seizures/convulsions alone (median age 2.6 (1.7,4.3) years), or mild IAE (median age 2.8 (1.5,6.1) years) at a tertiary pediatric medical center in China between November 2012 to January 2020. The random forest algorithm was used to screen the characteristics and construct a prediction model. Results Of the 433 patients, 278 (64.2%) had seizures/convulsions alone, 106 (24.5%) had mild IAE, and 49 (11.3%) had ANE. The discrimination performance of the model was satisfactory, with an accuracy above 0.80 from both model development (84.2%) and internal validation (88.2%). Seizures/convulsions were less likely to be wrongly classified (3.7%, 2/54), but mild IAE (22.7%, 5/22) was prone to be misdiagnosed as seizures/convulsions, and a small proportion (4.5%, 1/22) of them was prone to be misdiagnosed as ANE. Of the children with ANE, 22.2% (2/9) were misdiagnosed as mild IAE, and none were misdiagnosed as seizures/convulsions. Conclusion This model can distinguish the ANE from seizures/convulsions with high accuracy and from mild IAE close to 80% accuracy, providing valuable information for the early management of children with influenza.

show abstract

“…IAE was defined as convulsions, acute cognitive impairment, and acute disturbance of consciousness, and coma [7][8][9]; without specific biochemistry abnormal, without or minor imaging changes such as slight cerebral edema [10]. IANE was defined as acute fever, frequent convulsions, acute disturbance of consciousness, coma, and multiple organ failure, with a risk of death [11][12][13]; biochemistry changes could be not specific [10], but imaging shows brain edema and necrosis of thalamus and other deep brain structures [10,14].…”

Section: Clinical Datamentioning

confidence: 99%

Risk Factors of Influenza-Associated Necrotizing Encephalopathy in Children

Liu¹,

Yang²,

S³

et al. 2021

austinjinfectdis

View full text Add to dashboard Cite

Objective: A case-control study of Influenza-Associated Necrotizing Encephalopathy (IANE) in children was conducted to explore the risk factors for the diagnosis of IANE, and to provide a predictive reference for the diagnosis of IANE. Methods: The children with IANE who received treatment in our hospital from January 2016 to December 2020 were selected as the study group, and the children with Influenza-Associated Encephalopathy (IAE) group who received treatment in the same period were selected as the control group. The blood biochemical, coagulation function and cerebrospinal fluid test results of the two groups were analyzed by univariate analysis. Receiver Operating Characteristic Curve (ROC) analysis was used to determine the optimal threshold point of each index for the indicators with statistically significant differences in univariate analysis results, and multivariate Logistic stepwise regression analysis was performed according to the optimal threshold points. Results: In the IANE group, there were 32 children, including 20 males and 12 females, aged 58 (23, 97) months. There were 40 children in IAE group, including 26 males and 14 females, aged 58 (23, 97) months. Univariate results showed that serum Lactate Dehydrogenase (LDH), Cerebrospinal Fluid Lactate Dehydrogenase (CSF LDH) and Cerebrospinal Fluid Protein (CSF Pro) in the IANE group were significantly higher than those in the IAE group, and the difference between the two groups was statistically significant (P <0.001). The optimal threshold points of blood LDH, CSF LDH and CSF Pro by ROC curve analysis were 535U/L, 67U/L and 0.49g/L, respectively. Further Multivariate Logistic stepwise regression analysis showed that LDH >535U/L (OR=31.264, 95% CI: 5.892-165.878, P <0.001) and CSF PRO >0.49g/L (OR=7.695, 95% CI: 1.052-56.305, P=0.044) were independent risk factors for IANE. Conclusion: For children with influenza whose neurological symptoms appear rapidly and persist in the early stages of the disease, blood LDH >535U/L and CSF PRO >0.49g/L are independent risk factors for IANE.

show abstract

Acute Encephalopathy With Febrile Convulsive Status Epilepticus (AEFCSE)

Cited by 4 publications

References 17 publications

Brain Complications with Influenza Infection in Children

Brain Complications with Influenza Infection in Children

Identification of neurological complications in childhood influenza: a random forest model

Risk Factors of Influenza-Associated Necrotizing Encephalopathy in Children

Contact Info

Product

Resources

About