Fu Jie, Chu Yifei, Zhao Chenxin, Peng Lilei
Department of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Front Aging Neurosci. 2025 Jul 16;17:1601816. doi: 10.3389/fnagi.2025.1601816. eCollection 2025.
To investigate the predictive capacity of the pan-immune-inflammation value (PIV) for functional outcomes in patients with status epilepticus (SE).
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.
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; = 0.026). ROC analysis determined 1,090 as the optimal cutoff value of PIV for predicting poor 6-month prognosis in these patients. Moreover, multivariate logistic regression analysis of the external cohort demonstrated that PIV ≥ 1,090 was an independent predictor for poor SE outcome (odds ratio: 42.433; 95% confidence interval, 1.456-1236.343; = 0.029), which verified our findings.
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.
探讨泛免疫炎症值（PIV）对癫痫持续状态（SE）患者功能预后的预测能力。
在本研究中，我们调查并证实了PIV在成年SE患者中的预后意义。提取患者的临床信息和实验室检查数据。我们收集了SE后30天死亡率的信息，并使用改良Rankin量表（mRS）评估功能预后。采用多变量逻辑回归模型评估PIV与SE预后之间的关系。此外，进行了受试者操作特征（ROC）曲线分析，以确定预测SE患者不良预后的最佳PIV阈值。
最初，对包含132例SE患者的发现队列进行了检查。结果显示，18.2%（24/132）的患者在SE后30天内死亡，25.8%（23/89）的患者在6个月随访期内预后不良。多变量逻辑回归分析显示，入院时较高的PIV与SE患者6个月预后不良独立相关（比值比：1.002；95%置信区间，1.000 - 1.004；P = 0.026）。ROC分析确定1090为预测这些患者6个月预后不良的PIV最佳截断值。此外，对外部队列的多变量逻辑回归分析表明，PIV≥1090是SE不良结局的独立预测因素（比值比：42.433；95%置信区间，1.456 - 1236.343；P = 0.029），这证实了我们的发现。
较高的PIV与SE预后不良风险升高密切相关。我们的结果表明，PIV是SE预后的一个简单可靠的预测指标。
