Large Relative Surface Area of Hematomas Predict a Poor Outcome in Patients with Spontaneous Intracerebral Hemorrhage

医学 血肿 改良兰金量表 脑出血 逻辑回归 单变量分析 冲程(发动机) 内科学 外科
作者
Jing Wei,Libo Zhao,Juan Liao,Xiaoyan Du,HongMin Gong,Qing Tan,Ming Lei,Rui Zhao,Dujun Wang,Qingjun Liu
出处
期刊:Journal of stroke and cerebrovascular diseases [Elsevier]
卷期号:31 (6): 106381-106381
标识
DOI:10.1016/j.jstrokecerebrovasdis.2022.106381
摘要

Abstract

Objective

The aim of this study is to investigate the predictive value of relative surface area of hematoma on poor prognosis of spontaneous intracerebral hemorrhage (sICH).

Materials and Methods

We retrospectively analyzed 102 patients with sICH who met the inclusion criteria, attending to Yongchuan Hospital of Chongqing Medical University from January 2019 to September 2020. Cranial CT within 6 h of onset was completed and repeated in 24 h. The volume and surface area of the hematoma are measured by software, and the relative surface area is calculated from the above data. The primary outcome was 90-day modified Rankin Scale(mRS) score, which was classified as good prognosis (≤2 points) and poor prognosis (>2 points) according to the results. Univariate analysis and binary logistic regression analysis were used to calculate the effect of each variable on poor prognosis.

Results

The study is comprised of 52 patients with favorable functional prognosis and 50 patients with unfavorable one. The findings showed that admission National Institutes of Health Stroke Scale(NIHSS), hematoma volume, relative surface area, hematoma expansion(HE) and serum calcium concentration were independent influencing factors for poor prognosis(P=0.004,0.007,0.023,0.001,0.035, respectively). ROC curve analysis revealed that the area under the curve of the relative surface area of the hematoma predicted poor prognosis was 0.894(95% CI 0.830–0.985, P<0.001), which was better than the rest of the variables.

Conclusions

The relative surface area of hematoma in sICH is an independent risk factor for poor prognosis with a high predictive value, and large relative surface area suggests poor prognosis.
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