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Title: | Development and Validation of a Peripheral Cell Ratio and Lactate Score for Differentiating Status Epilepticus from Prolonged Psychogenic Non-Epileptic Seizures. | Austin Authors: | Tan, Tracie Hl;Sanfilippo, Paul;Colman, Blake;Perucca, Piero ;Kwan, Patrick;O'Brien, Terence J;Monif, Mastura | Affiliation: | Department of Neuroscience, Central Clinical School, Faculty of Medicine, Nursing and Health Science, Monash University, Melbourne, Victoria, Australia. Department of Neurology, Alfred Hospital, Melbourne, Australia. Department of Neurology, Royal Melbourne Hospital, Melbourne, Australia. Comprehensive Epilepsy Program Epilepsy Research Centre Medicine (University of Melbourne) |
Issue Date: | Dec-2023 | Date: | 2023 | Publication information: | Epilepsia Open 2023-12; 8(4) | Abstract: | Differentiating status epilepticus (SE) from prolonged psychogenic non-epileptic 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. Retrospective two-centre study investigating the sensitivity and specificity of acute (≤12 hours 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 generalised additive models to generate biomarker versus 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. For the development cohort, 1262 seizure-like events were reviewed and 79 SE and 44 pPNES events included. For the validation cohort, 241 events were reviewed and 20 SE and 11 pPNES events included. Individually, the biomarkers generally had low sensitivity and reasonable specificity for differentiating SE from pPNES, with 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 minutes, while cell counts and ratios peaked after 240 minutes. 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 0.75-0.79, specificities between 0.93-1.00, and ROC AUCs of 0.89-0.91. Lactate levels peak early post-SE, whereas cell counts and ratios do so later. The differing post-event time profiles of lactate levels versus neutrophil count, SIRI and SII allows incorporation into three separate scores which can assist in differentiating SE from pPNES. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/33670 | DOI: | 10.1002/epi4.12822 | ORCID: | 0000-0002-1638-7129 0000-0002-7855-7066 0000-0001-7310-276X 0000-0001-6404-9768 |
Journal: | Epilepsia Open | PubMed URL: | 37641168 | ISSN: | 2470-9239 | Type: | Journal Article | Subjects: | PNES lactate lymphocyte monocyte neutrophil seizures |
Appears in Collections: | Journal articles |
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