Publication: How and Whom to Monitor for Seizures in an ICU: A Systematic Review and Meta-Analysis
Issued Date
2019-04-01
Resource Type
ISSN
15300293
Other identifier(s)
2-s2.0-85063298432
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Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
Critical care medicine. Vol.47, No.4 (2019), e366-e373
Suggested Citation
Chusak Limotai, Atiporn Ingsathit, Kunlawat Thadanipon, Mark McEvoy, John Attia, Ammarin Thakkinstian How and Whom to Monitor for Seizures in an ICU: A Systematic Review and Meta-Analysis. Critical care medicine. Vol.47, No.4 (2019), e366-e373. doi:10.1097/CCM.0000000000003641 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/51764
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Title
How and Whom to Monitor for Seizures in an ICU: A Systematic Review and Meta-Analysis
Abstract
OBJECTIVES: To pool prevalence of nonconvulsive seizure, nonconvulsive status epilepticus, and epileptiform activity detected by different electroencephalography types in critically ills and to compare detection rates among them. DATA SOURCES: MEDLINE (via PubMed) and SCOPUS (via Scopus) STUDY SELECTION:: Any type of study was eligible if studies were done in adult critically ill, applied any type of electroencephalography, and reported seizure rates. Case reports and case series were excluded. DATA EXTRACTION: Data were extracted independently by two investigators. Separated pooling of prevalence of nonconvulsive seizure/nonconvulsive status epilepticus/epileptiform activity and odds ratio of detecting outcomes among different types of electroencephalography was performed using random-effect models. This meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines and also adhered to the Meta-analyses Of Observational Studies in Epidemiology guidelines. Quality of evidence was assessed with the Newcastle-Ottawa Quality Assessment Scale for observational studies and Cochrane methods for randomized controlled trial studies. DATA SYNTHESIS: A total of 78 (16,707 patients) and eight studies (4,894 patients) were eligible for pooling prevalence and odds ratios. For patients with mixed cause of admission, the pooled prevalence of nonconvulsive seizure, nonconvulsive status epilepticus, either nonconvulsive seizure or nonconvulsive status epilepticus detected by routine electroencephalography was 3.1%, 6.2%, and 6.3%, respectively. The corresponding prevalence detected by continuous electroencephalography monitoring was 17.9%, 9.1%, and 15.6%, respectively. In addition, the corresponding prevalence was high in post convulsive status epilepticus (33.5%, 20.2%, and 32.9%), CNS infection (23.9%, 18.1%, and 23.9%), and post cardiac arrest (20.0%, 17.3%, and 22.6%). The pooled conditional log odds ratios of nonconvulsive seizure/nonconvulsive status epilepticus detected by continuous electroencephalography versus routine electroencephalography from studies with paired data 2.57 (95% CI, 1.11-5.96) and pooled odds ratios from studies with independent data was 1.57 (95% CI, 1.00-2.47). CONCLUSIONS: Prevalence of seizures detected by continuous electroencephalography was significantly higher than with routine electroencephalography. Prevalence was particularly high in post convulsive status epilepticus, CNS infection, and post cardiac arrest.