Article ; Online: Admission neutrophil-to-lymphocyte ratio predicts length of hospitalization and need for ICU admission in adults with Status Epilepticus.
2023 Volume 106, Page(s) 80–84
Abstract: Background and objectives: Status epilepticus (SE) is a time-dependent neurological emergency. The current study evaluated the prognostic value of admission neutrophil-to-lymphocyte ratio (NLR) in patients with status epilepticus.: Methods: In this ... ...
| Abstract | Background and objectives: Status epilepticus (SE) is a time-dependent neurological emergency. The current study evaluated the prognostic value of admission neutrophil-to-lymphocyte ratio (NLR) in patients with status epilepticus. Methods: In this retrospective observational cohort study we included all consecutive patients discharged from our neurology unit with the clinical or EEG diagnosis of SE from 2012 to 2022. Stepwise multivariate analysis was conducted to test the association of NLR with length of hospitalization, need for Intensive Care Unit (ICU) admission and 30 days mortality. Receiver operating characteristic (ROC) analysis was performed to identify the best cutoff for NLR to identify patients who will need ICU admission. Results: A total of 116 patients were enrolled in our study. NLR was correlated with length of hospitalization (p = 0.020) and need for ICU admission ( p = 0.046). In addition, the risk of ICU admission increased in patients with intracranial hemorrhage and length of hospitalization was correlated with C-reactive protein-to-albumin ratio (CRP/ALB). ROC analysis identified a NLR of 3.6 as best cutoff value to discriminate need of ICU admission (area under the curve [AUC]=0.678; p = 0.011; Youden's index=0.358; sensitivity, 90.5%, specificity, 45.3%). Discussion: In patients with SE admission NLR could be a predictor of length of hospitalization and need for ICU admission. |
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| MeSH term(s) | Humans ; Adult ; Neutrophils ; Retrospective Studies ; Predictive Value of Tests ; Lymphocytes ; Prognosis ; Hospitalization ; ROC Curve ; Intensive Care Units |
| Language | English |
| Publishing date | 2023-02-04 |
| Publishing country | England |
| Document type | Observational Study ; Journal Article |
| ZDB-ID | 1137610-7 |
| ISSN | 1532-2688 ; 1059-1311 |
| ISSN (online) | 1532-2688 |
| ISSN | 1059-1311 |
| DOI | 10.1016/j.seizure.2023.02.001 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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