Lyu Ting, Xu Xue, Li Gang, Zhu Qing, Zhao Gang
Santai County People's Hospital, Mianyang, China.
Neuroradiology. 2025 May 23. doi: 10.1007/s00234-025-03656-4.
To explore the relationship between CT low density, CTA dot and early hematoma enlargement in patients with hypertensive intracerebral hemorrhage (HICH), to analyse the influencing factors of hematoma enlargement and construct the prediction model.
A retrospective analysis was performed on the clinical data of 400 patients with HICH in the hospital between August 2022 and July 2024, and patients were randomly divided into the modeling group (n = 300) and the verification group (n = 100). According to examination results of head CT at admission, disease deterioration or 24 h after admission, hematoma volume was calculated by Tada formula. The increment of hematoma volume > 33% was defined as hematoma enlargement. The patients in the modeling group were divided into hematoma enlargement group and non-enlargement group. The relationship between CT, CTA signs and early hematoma enlargement was analyzed by Logistic regression analysis.
The patients in the modeling group were divided into hematoma enlargement group (92 cases) and non-enlargement group (208 cases). The results of logistic analysis showed that large baseline hematoma volume, irregular morphology, island sign, low density sign, mixed sign, black hole sign and CTA spot sign were independent risk factors of early hematoma enlargement in HICH patients. According to data verification in modeling group, area under ROC curve (AUC), sensitivity and specificity were 0.817 [95%CI (0.768-0.866)], 78.26% and 73.56%, respectively. According to the principle of maximum Youden index, the cut-off value was 0.302.
The risk factors of early hematoma enlargement are analyzed and screened in HICH patients to construct a prediction model. The model is proved to have good validity, which can provide reference for the identification of high-risk groups.
探讨高血压性脑出血(HICH)患者CT低密度影、CTA斑点征与早期血肿扩大的关系,分析血肿扩大的影响因素并构建预测模型。
回顾性分析2022年8月至2024年7月本院收治的400例HICH患者的临床资料,将患者随机分为建模组(n = 300)和验证组(n = 100)。根据入院时、病情恶化时或入院24小时后的头颅CT检查结果,采用多田公式计算血肿体积。血肿体积增量>33%定义为血肿扩大。将建模组患者分为血肿扩大组和非扩大组。采用Logistic回归分析CT、CTA征象与早期血肿扩大的关系。
建模组患者分为血肿扩大组(92例)和非扩大组(208例)。Logistic分析结果显示,基线血肿体积大、形态不规则、岛征、低密度征、混合征、黑洞征及CTA斑点征是HICH患者早期血肿扩大的独立危险因素。根据建模组数据验证,ROC曲线下面积(AUC)、敏感度和特异度分别为0.817 [95%CI(0.768 - 0.866)]、78.26%和73.56%。根据最大约登指数原则,截断值为0.302。
分析并筛选HICH患者早期血肿扩大的危险因素,构建预测模型。该模型具有良好的效度,可为高危人群的识别提供参考。