Evidence map›Paper›PMID 41948843›Full record

ArticleEpileptic disorders : international epilepsy journal with videotape2026

Disease spectrum of nonconvulsive status epilepticus in children: A study based on clinical subtype characteristics and prognostic stratification.

Lianqin Mo, Xiaoqi Chen, Lu Yang, Xiao Xiao, Peng Wu, Li Jiang, Yue Hu

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Article in Epileptic disorders : international epilepsy journal with videotape, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Lianqin MoDepartment of Neurology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Xiaoqi ChenDepartment of Neurology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Lu YangDepartment of Neurology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Xiao XiaoDepartment of Neurology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Peng WuDepartment of Neurology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Li JiangDepartment of Neurology, Children's Hospital of Chongqing Medical University, Chongqing, China.
Yue HuDepartment of Neurology, Children's Hospital of Chongqing Medical University, Chongqing, China.ORCID https://orcid.org/0000-0002-7166-4248

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate risk factors affecting the short- and long-term prognosis of pediatric status epilepticus (SE) complicated by nonconvulsive status epilepticus (NCSE) during the disease course and to analyze the clinical heterogeneity of this group to effectively identify population characteristics and subgroups influencing prognosis.

methodsThis study is a single-center retrospective cohort study. Clinical data from 215 pediatric patients diagnosed with SE at Chongqing Medical University Children's Hospital between February 2005 and September 2024, who met the diagnostic criteria for NCSE during their illness, were included. Univariate analysis and multivariate logistic regression were employed to identify factors associated with short-term and long-term adverse outcomes. Hierarchical cluster analysis was conducted based on clinical characteristics.

resultsThe in-hospital mortality rate was 3.3% (7/215), increasing to 6.0% (12/200) in long-term follow-up. The short-term poor prognosis rate was 29.8% (64/215), while the long-term poor prognosis rate was 20.5% (41/200). Multivariate analysis revealed that independent risk factors for poor short-term prognosis included GCS scores of 3-8, global developmental delay, interictal EEG showing periodic discharges, and diffuse MRI abnormalities. Poor long-term prognosis was primarily associated with GCS scores of 3-8, global developmental delay, and electroclinical syndromes. Further clinical phenotype clustering analysis revealed four heterogeneous subgroups: super-refractory subgroup (characterized by profound impaired consciousness and diffuse brain injury), young-age metabolic subgroup (age < 24 months with multifocal abnormalities), focal structural subgroup (manifesting as focal neurological deficits and structural etiology), and benign reactive subgroup (mild altered consciousness and treatment sensitivity). SIGNIFICANCE: Level of consciousness, electroencephalogram (EEG), neurodevelopmental status, and electroclinical syndromes can serve as core indicators for prognostic stratification in children with NCSE; subtyping based on clinical features can effectively distinguish heterogeneous subgroups, providing a clinical phenotypic basis for individualized stratified diagnosis, treatment, and prognostic assessment of pediatric NCSE, thereby addressing the current lack of a multidimensional stratification framework in clinical practice.

Indexed as

Status EpilepticusAdolescentChildChild, PreschoolElectroencephalographyFemaleHumansInfantMalePrognosisRetrospective StudiesRisk Factorsclinical subtypenonconvulsive status epilepticuspediatricprognostic stratification

Identifiers

PMID41948843
PMCPMC13499257

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.