Evidence map›Paper›PMID 40741043›Full record

ArticleFrontiers in aging neuroscience2025

Predictive value of pan-immune-inflammation value in the prognosis of adults with status epilepticus: a retrospective study.

Jie Fu, Yifei Chu, Chenxin Zhao, Lilei Peng

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jie Fu *Department of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Yifei Chu *Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Chenxin ZhaoClinical Medical College, Southwest Medical University, Luzhou, China.
Lilei PengDepartment of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the predictive capacity of the pan-immune-inflammation value (PIV) for functional outcomes in patients with status epilepticus (SE). Methods: In this study, we investigated and confirmed the prognostic significance of PIV in adult patients with SE. Clinical information and laboratory test data of the patients were extracted. We gathered the information on 30-day mortality following SE and used the modified Rankin scale (mRS) to assess functional prognosis. Multivariable logistic regression models were employed to assess the relationship between PIV and SE prognosis. Additionally, receiver operating characteristic (ROC) curve analysis was conducted to identify the optimal PIV threshold for predicting poor outcomes of SE patients. Results: Initially, the discovery cohort comprising 132 SE patients were examined. The findings revealed that 18.2% (24/132) of patients died within a 30-day period post-SE, and 25.8% (23/89) experienced unfavorable prognosis during the 6-month follow-up period. Multivariate logistic regression analysis showed that higher PIV on admission was independently related to poor 6-month prognosis of SE patients (odds ratio: 1.002; 95% confidence interval, 1.000-1.004; Conclusion: Higher PIV is strongly correlated with an elevated risk of unfavorable SE prognosis. Our results suggest that PIV is a simple and reliable predictor for SE prognosis.

Indexed as

biomarkerinflammationpan-immune-inflammation valueprognosisstatus epilepticus

Identifiers

PMID40741043
PMCPMC12307328

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