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外周血细胞比值和乳酸评分在鉴别癫痫持续状态与延长性心因性非癫痫性发作中的开发和验证。

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

机构信息

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

Department of Neurology, Alfred Hospital, Melbourne, Victoria, Australia.

出版信息

Epilepsia Open. 2023 Dec;8(4):1460-1473. doi: 10.1002/epi4.12822. Epub 2023 Sep 6.

Abstract

OBJECTIVE

Differentiating 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.

METHODS

Retrospective 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.

RESULTS

For 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.

SIGNIFICANCE

Lactate 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.

摘要

目的

鉴别癫痫持续状态(SE)与延长性心因性非癫痫性发作(pPNES)具有一定难度。本研究旨在明确外周血细胞计数、细胞比值和乳酸水平在鉴别 SE 与 pPNES 中的作用。

方法

本回顾性、双中心研究旨在探讨急性(事件结束后≤12 h)外周血细胞计数、细胞比值(中性粒细胞/淋巴细胞比值、中性粒细胞/单核细胞比值、单核细胞/淋巴细胞比值、血小板/淋巴细胞比值、全身性免疫炎症指数[SII]、全身性炎症反应指数[SIRI])和乳酸水平对 SE 与 pPNES 的鉴别诊断价值。本研究从两家三级医院中选取患者,其中一家医院作为开发队列,另一家作为验证队列。通过广义加性模型生成生物标志物与时间曲线,确定了设定参数的最佳采血时间。在两个独立的队列中,分别建立并验证了三种结合乳酸水平的诊断评分,即中性粒细胞计数、SII 或 SIRI。

结果

在开发队列中,共回顾了 1262 例类似癫痫发作的事件,纳入了 79 例 SE 和 44 例 pPNES 事件。在验证队列中,共回顾了 241 例事件,纳入了 20 例 SE 和 11 例 pPNES 事件。单独来看,这些生物标志物在鉴别 SE 与 pPNES 方面的敏感性一般较低,但特异性较好,其中中性粒细胞计数、SIRI 和 SII 的敏感性分别为 0.65-0.84、特异性分别为 0.64-0.89,ROC AUC 分别为 0.78-0.79。乳酸水平在发作后 60 min 达到峰值,而细胞计数和比值在发作后 240 min 达到峰值。将早期出现峰值的乳酸水平与晚期出现峰值的中性粒细胞计数、SIRI 或 SII 相结合,形成了三个评分,其预测能力有所提高,敏感性在 0.75-0.79 之间,特异性在 0.93-1.00 之间,ROC AUC 在 0.89-0.91 之间。

意义

乳酸水平在 SE 发作后早期达到峰值,而细胞计数和比值在 SE 发作后晚期达到峰值。乳酸水平与中性粒细胞计数、SIRI 和 SII 的发作后时间曲线不同,可将其纳入三个独立的评分中,以辅助鉴别 SE 与 pPNES。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0707/10690667/540341d6fdfb/EPI4-8-1460-g003.jpg

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