ArticleFrontiers in neurology2026
A nomogram model for predicting seizure control in status epilepticus: development and risk factor analysis.
Article in Frontiers in neurology, 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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Abstract
Objectives: To explore the risk factors impacting control of seizures in status epilepticus (SE) and to construct a valid nomogram for predicting the prognosis. Methods: In this retrospective study, we analyzed the patients with SE who were hospitalized in Fujian Medical University Union Hospital from January 2017 to December 2022. Two separate groups of data are created: one for model development and the other for model validation. Results: A total of 272 patients with SE were enrolled in this study, of which 89 had poorly-controlled seizures at discharge. Six potential risk predictors were identified through LASSO regression. After validation by univariate logistic regression ( Conclusion: The proposed nomogram, constructed based on four independent risk factors, exhibits acceptable discriminative ability and clinical benefit. The risk of poorly-controlled seizures in individual SE patients can be predicted through the nomogram. The model may facilitate the early and timely identification of high-risk patients.
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