Development and validation of a peripheral cell ratio and lactate score for differentiating status epilepticus from prolonged psychogenic nonepileptic seizures

Author:

Tan Tracie H.L.123ORCID,Sanfilippo Paul12,Colman Blake123,Perucca Piero12345ORCID,Kwan Patrick12ORCID,O'Brien Terence J.123,Monif Mastura123ORCID

Affiliation:

1. Department of Neuroscience, Central Clinical School, Faculty of Medicine, Nursing and Health Science Monash University Melbourne Victoria Australia

2. Department of Neurology Alfred Hospital Melbourne Victoria Australia

3. Department of Neurology Royal Melbourne Hospital Melbourne Victoria Australia

4. Department of Neurology, Bladin‐Berkovic Comprehensive Epilepsy Program Austin Health Melbourne Victoria Australia

5. Epilepsy Research Centre, Department of Medicine (Austin Health) The University of Melbourne Melbourne Victoria Australia

Abstract

AbstractObjectiveDifferentiating status epilepticus (SE) from prolonged psychogenic nonepileptic seizures (pPNES) can be difficult clinically. We aimed to define the utility of peripheral cell counts, cell ratios, and lactate levels in distinguishing SE from pPNES.MethodsRetrospective two‐center study investigating the sensitivity and specificity of acute (≤12 h of event offset) peripheral cell counts, cell ratios (neutrophil–lymphocyte ratio, neutrophil–monocyte ratio, monocyte–lymphocyte ratio, platelet–lymphocyte ratio, systemic immune‐inflammatory index [SII], systemic inflammatory response index [SIRI]), and lactate levels in differentiating SE from pPNES. Patients were identified from two tertiary hospitals, with one forming the development cohort and the other the validation cohort. Using generalized additive models to generate biomarker vs time curves, optimal blood collection times were defined for set parameters. Three diagnostic scores combining neutrophil count, SII, or SIRI with lactate levels were developed and validated in separate cohorts.ResultsFor the development cohort, 1262 seizure‐like events were reviewed and 79 SE and 44 pPNES events were included. For the validation cohort, 241 events were reviewed and 20 SE and 11 pPNES events were included. Individually, the biomarkers generally had low sensitivity and reasonable specificity for differentiating SE from pPNES, with the neutrophil count, SIRI, and SII performing best with sensitivities of 0.65–0.84, specificities of 0.64–0.89, and ROC AUCs of 0.78–0.79. Lactate levels peaked at 60 min, while cell counts and ratios peaked after 240 min. Combining early peaking lactate levels and later peaking neutrophil count, SIRI or SII resulted in three scores that improved predictive potential with sensitivities of between 0.75 and 0.79, specificities between 0.93 and 1.00, and ROC AUCs of 0.89–0.91.SignificanceLactate levels peak early post‐SE, whereas cell counts and ratios do so later. The differing post‐event time profiles of lactate levels vs neutrophil count, SIRI, and SII allow incorporation into three separate scores which can assist in differentiating SE from pPNES.

Publisher

Wiley

Subject

Neurology (clinical),Neurology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3