Epilepsy after perinatal stroke with different vascular subtypes Article Swipe
Rael Laugesaar
,
Ulvi Vaher
,
Silva Lõo
,
Anneli Kolk
,
Mairi Männamaa
,
Inga Talvik
,
Eve Õiglane‐Shlik
,
Dagmar Loorits
,
Tiina Talvik
,
Pilvi Ilves
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1002/epi4.12104
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1002/epi4.12104
Summary Objective With an incidence up to 63 per 100,000 live births, perinatal stroke is an important cause of childhood epilepsy. The aim of the study was to find the prevalence of and predictive factors for epilepsy, and to describe the course of epilepsy in children with perinatal stroke with different vascular subtypes. Methods Patients were retrieved from the Estonian Paediatric Stroke Database with follow‐up time at least 24 months. Patients were divided into 5 perinatal stroke syndromes: neonatal arterial ischemic stroke ( AIS ), neonatal hemorrhagic stroke, neonatal cerebral sinovenous thrombosis, presumed AIS , and presumed periventricular venous infarction. Results The final study group included 73 children with perinatal stroke (39 boys). With a median follow‐up time of 8.6 years, epilepsy was diagnosed in 21/73 (29%) children, most of whom had AIS (17/21, 81%). The 18‐year cumulative poststroke epilepsy risk according to the Kaplan‐Meier estimator was 40.8% (95% confidence interval [CI ] 20.7–55.9%). The median age at epilepsy diagnosis was 50 months (range 1 month to 18.4 years). Children with neonatal AIS had the highest risk of epilepsy, but children with presumed AIS more often had severe epilepsy syndromes. Cortical lesions ( odds ratio [OR ] 19.7, 95% CI 2.9–133), and involvement of thalamus ( OR 9.8, 95% CI 1.8–53.5) and temporal lobe ( OR 8.3, 95% CI 1.8–39.6) were independently associated with poststroke epilepsy. Significance The risk for poststroke epilepsy after perinatal stroke depends on the vascular subtype. Patients with perinatal AIS need close follow‐up to detect epilepsy and start with antiepileptic treatment on time.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/epi4.12104
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/epi4.12104
- OA Status
- gold
- Cited By
- 36
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2793128991
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W2793128991Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/epi4.12104Digital Object Identifier
- Title
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Epilepsy after perinatal stroke with different vascular subtypesWork title
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articleOpenAlex work type
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enPrimary language
- Publication year
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2018Year of publication
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2018-02-01Full publication date if available
- Authors
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Rael Laugesaar, Ulvi Vaher, Silva Lõo, Anneli Kolk, Mairi Männamaa, Inga Talvik, Eve Õiglane‐Shlik, Dagmar Loorits, Tiina Talvik, Pilvi IlvesList of authors in order
- Landing page
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https://doi.org/10.1002/epi4.12104Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/epi4.12104Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/epi4.12104Direct OA link when available
- Concepts
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Epilepsy, Medicine, Stroke (engine), Pediatrics, Odds ratio, Confidence interval, Incidence (geometry), Infarction, Internal medicine, Psychiatry, Engineering, Physics, Myocardial infarction, Mechanical engineering, OpticsTop concepts (fields/topics) attached by OpenAlex
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36Total citation count in OpenAlex
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2025: 2, 2024: 6, 2023: 7, 2022: 5, 2021: 8Per-year citation counts (last 5 years)
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32Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.presumed | 92, 96, 182 |
| abstract_inverted_index.subtype. | 239 |
| abstract_inverted_index.temporal | 212 |
| abstract_inverted_index.thalamus | 204 |
| abstract_inverted_index.vascular | 51, 238 |
| abstract_inverted_index.18‐year | 136 |
| abstract_inverted_index.Objective | 1 |
| abstract_inverted_index.according | 141 |
| abstract_inverted_index.childhood | 19 |
| abstract_inverted_index.children, | 127 |
| abstract_inverted_index.diagnosed | 123 |
| abstract_inverted_index.diagnosis | 159 |
| abstract_inverted_index.different | 50 |
| abstract_inverted_index.epilepsy, | 36, 178 |
| abstract_inverted_index.epilepsy. | 20, 225 |
| abstract_inverted_index.estimator | 145 |
| abstract_inverted_index.important | 16 |
| abstract_inverted_index.incidence | 4 |
| abstract_inverted_index.perinatal | 12, 47, 75, 109, 233, 242 |
| abstract_inverted_index.retrieved | 56 |
| abstract_inverted_index.subtypes. | 52 |
| abstract_inverted_index.treatment | 254 |
| abstract_inverted_index.Paediatric | 60 |
| abstract_inverted_index.associated | 222 |
| abstract_inverted_index.confidence | 149 |
| abstract_inverted_index.cumulative | 137 |
| abstract_inverted_index.poststroke | 138, 224, 230 |
| abstract_inverted_index.predictive | 33 |
| abstract_inverted_index.prevalence | 30 |
| abstract_inverted_index.sinovenous | 90 |
| abstract_inverted_index.syndromes. | 189 |
| abstract_inverted_index.syndromes: | 77 |
| abstract_inverted_index.1.8–39.6) | 219 |
| abstract_inverted_index.1.8–53.5) | 210 |
| abstract_inverted_index.2.9–133), | 200 |
| abstract_inverted_index.follow‐up | 64, 116, 246 |
| abstract_inverted_index.hemorrhagic | 86 |
| abstract_inverted_index.infarction. | 99 |
| abstract_inverted_index.involvement | 202 |
| abstract_inverted_index.thrombosis, | 91 |
| abstract_inverted_index.Significance | 226 |
| abstract_inverted_index.antiepileptic | 253 |
| abstract_inverted_index.independently | 221 |
| abstract_inverted_index.20.7–55.9%). | 153 |
| abstract_inverted_index.Kaplan‐Meier | 144 |
| abstract_inverted_index.periventricular | 97 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5032595325 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 10 |
| corresponding_institution_ids | https://openalex.org/I2802241215, https://openalex.org/I56085075 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.8500000238418579 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.95809494 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |