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.
Subject
Neurology (clinical),Neurology