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

IF 2.3 Q3 CLINICAL NEUROLOGY
Neurology. Clinical practice Pub Date : 2025-06-01 Epub Date: 2025-03-31 DOI:10.1212/CPJ.0000000000200464
Fazila Aseem, Emily Fink, Chuning Liu, John Whalen, Jessica Werdel, Parin Nanavati, Fei Zou, Angela Wabulya, Casey Olm-Shipman, Suzette Maria LaRoche, Clio Rubinos
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引用次数: 0

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; p < 0.0001, moderate 36.5 vs 29.3 hours; p = 0.01) and no significant change for the high-risk group (41.3 vs 40.4 hours; p = 0.92). Seizure detection was low except for the high-risk group (1.3% vs 7.9% vs 39.1%). Reduction in cEEG duration after implementation of the 2HELPS2B score did not lead to a significant change in seizure detection (0.6% vs 9% vs 37.9%).

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.

背景和目的:连续脑电图(cEEG)已成为监测危重病人的标准,但它需要大量资源,可用性有限。2HELP2B 癫痫发作风险评分可帮助对癫痫发作风险进行分层,并有助于临床决策以优化监测持续时间。本研究旨在纳入 2HELPS2B 评分,为 cEEG 持续时间提供依据,并在不影响癫痫发作检测的情况下提供具有成本效益的护理:我们开展了一项质量改进研究,针对一家三级学术医院重症监护室的临床工作流程和癫痫发作风险分层。研究纳入了 2020 年 6 月至 2022 年 12 月期间接受 cEEG 检查的成年患者(n = 552),但排除了因癫痫状态管理、咒语特征描述、颅内压监测和心脏骤停后接受 cEEG 检查的患者(n = 129)。我们进行了回顾性病历审查,以确定 cEEG 的基线量、癫痫发作率和监测持续时间。然后,我们通过多学科教育引入了 2HELPS2B 风险评分,并利用已发表的建议提出了最佳 cEEG 持续时间。干预后,我们分析了整合 2HELPS2B 评分对 cEEG 持续时间和癫痫发作检出率的影响:在 552 名患者中,大多数属于低风险(n = 311,56.3%),其次是中度风险(n = 189,34.2%)和高度风险(n = 52,9.4%)。干预前,所有风险组的 cEEG 持续时间相似。实施 2HELPSB 评分后,低风险和中度风险患者的 cEEG 持续时间显著缩短(低风险 36.3 小时 vs 23.8 小时;p < 0.0001,中度风险 36.5 小时 vs 29.3 小时;p = 0.01),而高风险组没有显著变化(41.3 小时 vs 40.4 小时;p = 0.92)。除高风险组外,癫痫发作检出率较低(1.3% vs 7.9% vs 39.1%)。在采用 2HELPS2B 评分后,缩短 cEEG 持续时间并未导致癫痫发作检出率发生显著变化(0.6% vs 9% vs 37.9%):讨论:大多数重症患者的癫痫发作风险为低度或中度,因此在 cEEG 中检测到的癫痫发作发生率较低。采用 2HELPS2B 癫痫发作风险评分后,可以根据患者的具体情况定制 cEEG 的持续时间,从而实现精准医疗。这种方法在不影响癫痫发作检测的前提下成功提高了 cEEG 的利用率。总之,实施癫痫发作风险分层可以提供具有成本效益的监测并提高 cEEG 的使用率。
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来源期刊
Neurology. Clinical practice
Neurology. Clinical practice CLINICAL NEUROLOGY-
CiteScore
4.00
自引率
0.00%
发文量
77
期刊介绍: Neurology® Genetics is an online open access journal publishing peer-reviewed reports in the field of neurogenetics. The journal publishes original articles in all areas of neurogenetics including rare and common genetic variations, genotype-phenotype correlations, outlier phenotypes as a result of mutations in known disease genes, and genetic variations with a putative link to diseases. Articles include studies reporting on genetic disease risk, pharmacogenomics, and results of gene-based clinical trials (viral, ASO, etc.). Genetically engineered model systems are not a primary focus of Neurology® Genetics, but studies using model systems for treatment trials, including well-powered studies reporting negative results, are welcome.
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