Observational studyBrain and behavior2026
Monocyte-to-Albumin Ratio Predicts the Functional Outcome of Adults With Status Epilepticus: An Observational Study.
Observational study in Brain and behavior, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
1 citing paper in PubMed.
- Monocyte-to-Albumin Ratio Predicts the Functional Outcome of Adults With Status Epilepticus: An Observational Study.Brain and behavior · 2026Observational
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Authors and funding
5 authors.
Funding
Abstract
backgroundStatus epilepticus (SE) is a serious neuro-emergency that is often associated with unfavorable outcomes. It is known that inflammation is involved in the pathogenesis of SE, and various inflammatory markers have been suggested to be related to SE prognosis. Monocyte-to-albumin ratio (MAR), a novel biomarker of systemic inflammation, is derived from monocyte count and albumin levels. In this study, we sought to explore whether MAR could serve as a predictor of functional outcomes in SE.
methodsThis retrospective study collected the data of adult patients with SE. Functional outcomes of SE patients were evaluated by using the Modified Rankin Scale (mRS). Multivariable logistic regression analysis was performed to investigate the association of MAR with SE outcomes. Moreover, receiver operating characteristic (ROC) curve analysis was carried out to determine the optimal MAR threshold for predicting poor SE outcomes.
resultsThis study included 163 SE patients. Poor outcome at discharge was observed in 39.3% (64/163). Multivariate analysis showed that higher MAR at admission was independently related to unfavorable outcomes of SE patients (odds ratio: 1.092; 95% confidence interval, 1.023-1.166; p = 0.008). ROC curve analysis demonstrated that MAR could predict poor SE outcomes, with an area under the curve of 0.717 (95% CI: 0.638-0.795, p < 0.001). The optimal predictive cutoff point of MAR for poor SE outcomes was 13.78 (sensitivity 59.38%, specificity 73.74%).
conclusionHigher MAR at admission is closely correlated with an elevated risk of poor functional outcomes at discharge of SE patients. Our data suggest that MAR may be a promising and easily measurable marker for predicting short-term SE outcomes.
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