Evidence map›Paper›PMID 40182314›Full record

ArticleNeurology. Clinical practice2025

Implementation of 2HELPS2B Seizure Risk Score: A Cost-Effective Approach to Seizure Detection in the Intensive Care Units.

Fazila Aseem, Emily Fink, Chuning Liu, John Whalen, Jessica Werdel, Parin Nanavati, Fei Zou, Angela Wabulya, Casey Olm-Shipman, Suzette Maria LaRoche and 1 more

Abstract read
In one paragraph

Article in Neurology. Clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Fazila AseemDepartment of Neurology, University of North Carolina, Chapel Hill.ORCID https://orcid.org/0000-0002-9665-1830
Emily FinkDepartment of Internal Medicine, Kaiser Permanente, San Franciso Medical Center, CA; and.
Chuning LiuDepartment of Biostatistics, University of North Carolina, Chapel Hill.ORCID https://orcid.org/0000-0001-5437-1868
John WhalenDepartment of Neurology, University of North Carolina, Chapel Hill.
Jessica WerdelDepartment of Neurology, University of North Carolina, Chapel Hill.ORCID https://orcid.org/0009-0002-0082-1303
Parin NanavatiDepartment of Neurology, University of North Carolina, Chapel Hill.
Fei ZouDepartment of Biostatistics, University of North Carolina, Chapel Hill.
Angela WabulyaDepartment of Neurology, University of North Carolina, Chapel Hill.
Casey Olm-ShipmanDepartment of Neurology, University of North Carolina, Chapel Hill.
Suzette Maria LaRocheDepartment of Neurology, University of North Carolina, Chapel Hill.ORCID https://orcid.org/0009-0000-6609-7376
Clio RubinosDepartment of Neurology, University of North Carolina, Chapel Hill.ORCID https://orcid.org/0000-0002-1680-2302

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Continuous EEG (cEEG) has become a standard for monitoring critically ill patients, but it is resource-intensive with limited availability. The 2HELP2B seizure risk score can help stratify seizure risk and aid in clinical decision making to optimize duration of monitoring. This study aimed to incorporate the 2HELPS2B score to inform cEEG duration and provide cost-effective care without compromising seizure detection. Methods: We conducted a quality improvement study that targeted clinical workflow and seizure risk stratification in the intensive care units of a tertiary academic hospital. The study included adult patients who underwent cEEG between June 2020 and December 2022 (n = 552), after excluding patients undergoing cEEG for management of status epilepticus, spell characterization, intracranial pressure monitoring, and post-cardiac arrest (n = 129). We performed a retrospective chart review to establish baseline cEEG volume, seizure incidence, and monitoring duration. We then introduced the 2HELPS2B risk score through multidisciplinary education and used published recommendations to suggest optimal cEEG duration. After the intervention, we analyzed the impact of integrating the 2HELPS2B score on cEEG duration and seizure detection rates. Results: Of 552 patients, most were low risk (n = 311, 56.3%), followed by moderate risk (n = 189, 34.2%) and high risk (n = 52, 9.4%). Before the intervention, cEEG duration was similar for all risk groups. After implementation of the 2HELPSB score, there was a significant reduction in cEEG duration for low-risk and moderate-risk patients (low 36.3 vs 23.8 hours; Discussion: Most critically ill patients had low or moderate seizure risk and, accordingly, a low incidence of seizures detected during cEEG. Implementing the 2HELPS2B seizure risk score allowed customization of cEEG duration for individual patients, applying the practice of precision medicine. This approach successfully improved cEEG utilization without compromising seizure detection. In conclusion, implementing seizure risk stratification can provide cost-effective monitoring and improve cEEG access.

Identifiers

PMID40182314
PMCPMC11962049

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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 OpenQuestion graph.