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单核细胞/白蛋白比值与自发性脑出血血肿扩大相关。

Monocyte-to-Albumin Ratio Is Associated With Hematoma Expansion in Spontaneous Intracerebral Hemorrhage.

机构信息

Department of Neurology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.

Department of Neurosurgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China.

出版信息

Brain Behav. 2024 Oct;14(10):e70059. doi: 10.1002/brb3.70059.

Abstract

BACKGROUND

Hematoma expansion (HE) after spontaneous intracerebral hemorrhage (ICH) is a severe complication that independently predicts poor prognosis. In this study, we aimed to investigate whether monocyte-to-albumin ratio (MAR), a novel marker of systemic inflammation, could predict HE in patients with ICH.

METHODS

We retrospectively assessed the data of patients with ICH. The clinical, imaging, and laboratory test data including, the MAR on admission, were analyzed. A multivariate logistic regression analysis was carried out to explore the relationship between MAR and hematoma growth. The receiver operating characteristic (ROC) curve was employed to investigate the predictive value of MAR for HE after ICH.

RESULTS

A total of 246 patients were included in the present study. Multivariate logistic regression analysis demonstrated that the MAR was associated with HE (odds ratio [OR] = 1.179; 95% confidence interval, 1.093-1.272; p = 0.000). ROC curve analysis showed that MAR could predict HE, with an area under the curve of 0.802 (95% CI: 0.744-0.859, p < 0.001). The optimal predictive cutoff value of MAR for HE was 10.01 (sensitivity: 72.43%, specificity: 77.05%).

CONCLUSIONS

Our results suggested that a high MAR on admission was associated with an increased risk of HE in ICH patients, and MAR can become an independent predictor of HE in ICH patients.

摘要

背景

自发性脑出血(ICH)后血肿扩大(HE)是一种严重的并发症,独立预测预后不良。在本研究中,我们旨在研究单核细胞/白蛋白比值(MAR)这一新的全身炎症标志物是否可以预测 ICH 患者的 HE。

方法

我们回顾性评估了 ICH 患者的数据。分析了包括入院时 MAR 在内的临床、影像学和实验室检查数据。采用多变量逻辑回归分析探讨 MAR 与血肿增长的关系。采用受试者工作特征(ROC)曲线探讨 MAR 对 ICH 后 HE 的预测价值。

结果

本研究共纳入 246 例患者。多变量逻辑回归分析表明,MAR 与 HE 相关(比值比 [OR] = 1.179;95%置信区间,1.093-1.272;p = 0.000)。ROC 曲线分析表明,MAR 可以预测 HE,曲线下面积为 0.802(95%可信区间:0.744-0.859,p < 0.001)。MAR 预测 HE 的最佳截断值为 10.01(灵敏度:72.43%,特异性:77.05%)。

结论

我们的结果表明,入院时 MAR 升高与 ICH 患者 HE 风险增加相关,MAR 可成为 ICH 患者 HE 的独立预测指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e00a/11440023/97901107e281/BRB3-14-e70059-g001.jpg

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