Literature DB >> 33990087

Status epilepticus after intracranial neurosurgery: incidence and risk stratification by perioperative clinical features.

Michael C Jin1, Jonathon J Parker1, Michael Zhang1, Zack A Medress1, Casey H Halpern1, Gordon Li1, John K Ratliff1, Gerald A Grant1, Robert S Fisher2, Stephen Skirboll1,3.   

Abstract

OBJECTIVE: Status epilepticus (SE) is associated with significant mortality, cost, and risk of future seizures. In one of the first studies of SE after neurosurgery, the authors assess the incidence, risk factors, and outcome of postneurosurgical SE (PNSE).
METHODS: Neurosurgical admissions from the MarketScan Claims and Encounters database (2007 through 2015) were assessed in a longitudinal cross-sectional sample of privately insured patients who underwent qualifying cranial procedures in the US and were older than 18 years of age. The incidence of early (in-hospital) and late (postdischarge readmission) SE and associated mortality was assessed. Procedural, pathological, demographic, and anatomical covariates parameterized multivariable logistic regression and Cox models. Multivariable logistic regression and Cox proportional hazards models were used to study the incidence of early and late PNSE. A risk-stratification simulation was performed, combining individual predictors into singular risk estimates.
RESULTS: A total of 197,218 admissions (218,217 procedures) were identified. Early PNSE occurred during 637 (0.32%) of 197,218 admissions for cranial neurosurgical procedures. A total of 1045 (0.56%) cases of late PNSE were identified after 187,771 procedure admissions with nonhospice postdischarge follow-up. After correction for comorbidities, craniotomy for trauma, hematoma, or elevated intracranial pressure was associated with increased risk of early PNSE (adjusted OR [aOR] 1.538, 95% CI 1.183-1.999). Craniotomy for meningioma resection was associated with an increased risk of early PNSE compared with resection of metastases and parenchymal primary brain tumors (aOR 2.701, 95% CI 1.388-5.255). Craniotomies for infection or abscess (aHR 1.447, 95% CI 1.016-2.061) and CSF diversion (aHR 1.307, 95% CI 1.076-1.587) were associated with highest risk of late PNSE. Use of continuous electroencephalography in patients with early (p < 0.005) and late (p < 0.001) PNSE rose significantly over the study time period. The simulation regression model predicted that patients at high risk for early PNSE experienced a 1.10% event rate compared with those at low risk (0.07%). Similarly, patients predicted to be at highest risk for late PNSE were significantly more likely to eventually develop late PNSE than those at lowest risk (HR 54.16, 95% CI 24.99-104.80).
CONCLUSIONS: Occurrence of early and late PNSE was associated with discrete neurosurgical pathologies and increased mortality. These data provide a framework for prospective validation of clinical and perioperative risk factors and indicate patients for heightened diagnostic suspicion of PNSE.

Entities:  

Keywords:  epilepsy; neurosurgery; seizures; status epilepticus

Year:  2021        PMID: 33990087      PMCID: PMC8665824          DOI: 10.3171/2020.10.JNS202895

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  46 in total

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Authors:  Chloe E Hill; Leah J Blank; Dylan Thibault; Kathryn A Davis; Nabila Dahodwala; Brian Litt; Allison W Willis
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2.  New-onset refractory status epilepticus: Etiology, clinical features, and outcome.

Authors:  Nicolas Gaspard; Brandon P Foreman; Vincent Alvarez; Christian Cabrera Kang; John C Probasco; Amy C Jongeling; Emma Meyers; Alyssa Espinera; Kevin F Haas; Sarah E Schmitt; Elizabeth E Gerard; Teneille Gofton; Peter W Kaplan; Jong W Lee; Benjamin Legros; Jerzy P Szaflarski; Brandon M Westover; Suzette M LaRoche; Lawrence J Hirsch
Journal:  Neurology       Date:  2015-08-21       Impact factor: 9.910

3.  Regularization Paths for Generalized Linear Models via Coordinate Descent.

Authors:  Jerome Friedman; Trevor Hastie; Rob Tibshirani
Journal:  J Stat Softw       Date:  2010       Impact factor: 6.440

4.  Costs and cost-driving factors for acute treatment of adults with status epilepticus: A multicenter cohort study from Germany.

Authors:  Lena-Marie Kortland; Anne Alfter; Oliver Bähr; Barbara Carl; Richard Dodel; Thomas M Freiman; Kristina Hubert; Kolja Jahnke; Susanne Knake; Felix von Podewils; Jens-Peter Reese; Uwe Runge; Christian Senft; Helmuth Steinmetz; Felix Rosenow; Adam Strzelczyk
Journal:  Epilepsia       Date:  2016-10-18       Impact factor: 5.864

5.  Status epilepticus associated with subtentorial posterior fossa lesions.

Authors:  Marie F Grill; David M Treiman; Rama K Maganti
Journal:  Arch Neurol       Date:  2009-12

Review 6.  A definition and classification of status epilepticus--Report of the ILAE Task Force on Classification of Status Epilepticus.

Authors:  Eugen Trinka; Hannah Cock; Dale Hesdorffer; Andrea O Rossetti; Ingrid E Scheffer; Shlomo Shinnar; Simon Shorvon; Daniel H Lowenstein
Journal:  Epilepsia       Date:  2015-09-04       Impact factor: 5.864

7.  Generalized convulsive status epilepticus after nontraumatic subarachnoid hemorrhage: the nationwide inpatient sample.

Authors:  Jan Claassen; Brian T Bateman; Joshua Z Willey; Sarah Inati; Lawrence J Hirsch; Stephan A Mayer; Ralph L Sacco; H Christian Schumacher
Journal:  Neurosurgery       Date:  2007-07       Impact factor: 4.654

8.  Determinants of mortality in status epilepticus.

Authors:  A R Towne; J M Pellock; D Ko; R J DeLorenzo
Journal:  Epilepsia       Date:  1994 Jan-Feb       Impact factor: 5.864

9.  Status epilepticus without an underlying cause and risk of death: a population-based study.

Authors:  Giancarlo Logroscino; Dale C Hesdorffer; Gregory Cascino; W Allen Hauser
Journal:  Arch Neurol       Date:  2008-02

10.  Continuous Electroencephalographic Monitoring in the Intensive Care Unit: A Cross-Sectional Study.

Authors:  Lauren Koffman; Fred Rincon; Joao Gomes; Sarabdeep Singh; Yitian He; Eva Ritzl; Thomas P Bleck; Peter W Kaplan; Paul Nyquist
Journal:  J Intensive Care Med       Date:  2019-05-13       Impact factor: 3.510

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