外伤性硬膜外血肿患者延迟脑 CT 扫描中血肿扩大的影响因素。

Iran Chanideh, Mohammad Reza Akrami, Seyed Erfan Farsian, Maasoumeh Abbasi, Masoud Ghadiri, Tahereh Mohammadi Majd, Tayebeh Najafi, Saeed Gharooee Ahangar
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引用次数: 0

摘要

背景:硬膜外血肿(EDH)是创伤患者中常见的一种颅内血肿。本研究旨在评估导致外伤性硬膜外血肿(EDH)扩大的因素:这项回顾性队列研究对伊朗著名的西部创伤中心 Taleqani 医院在 2018 年至 2023 年期间收治的 EDH 创伤患者进行了调查。患者接受了初次 CT 扫描,非手术患者在初次扫描后约 5 小时接受了延迟 CT 扫描。数据分析使用 SPSS 25 版软件进行:研究包括 274 名患有硬膜外血肿的脑外伤患者。在这些患者中,142 人(51.8%)没有接受手术治疗,121 人(85.2%)为男性。机动车事故(MVA)是导致 127 名(46.4%)患者出现硬膜外血肿的主要原因。初始血肿大小的平均值(±标准差)为 8.86(±9.71),延迟 CT 扫描血肿大小的平均值(±标准差)为 8.12(±8.10)。在粗线性回归中发现,初始 CT 扫描中的血肿体积(P 小于 0.001)和混合密度(P=0.007)这两个变量对非手术患者延迟 CT 扫描中血肿大小的增加有显著影响。但在调整后的线性回归模型中,只有初诊 CT 扫描中的血肿体积具有显著影响(P 小于 0.001)。R平方值为 0.72:确定影响延迟 CT 扫描中血肿体积的关键变量有可能指导更有效的干预措施,从而改善患者预后并降低创伤相关死亡率。
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Factors influencing hematoma expansion in delayed brain CT scans of patients with traumatic Epidural Hematoma.

Background: Epidural hematoma (EDH) is a type of intracranial hematoma commonly observed in trauma patients. This research aims to evaluate the factors contributing to the expansion of traumatic epidural hematoma (EDH).

Methods: This retrospective cohort study examined traumatic patients with EDH admitted to Taleqani Hospital, a prominent Western Trauma Center in Iran, from 2018 to 2023. Patients underwent an initial CT scan, and non-surgical patients received a delayed CT scan approximately 5 hours after the initial scan. Data analysis was performed using SPSS version 25 software.

Results: The study included 274 brain trauma patients with epidural hematoma. Among these patients, 142 (51.8%) did not undergo surgery, and 121 (85.2%) of the non-surgical patients were male. Motor vehicle accidents (MVAs) were the primary cause of EDH in 127 (46.4%) patients. The mean (±standard deviation) initial hematoma size was 8.86 (±9.71), and the mean (±standard deviation) delayed CT scan size was 8.12 (±8.10). In crude linear regression Two variables, namely Hematoma volume in the initial CT scan (P less than 0.001) and Mixed Density (P=0.007), were found to significantly impact the increase in hematoma size in delayed CT scans of non-surgical patients. But in the adjusted linear regression model, only the Hematoma volume in primary CT scan, was significant (P less 0.001). The R Square values were 0.72.

Conclusions: The identification of key variables influencing hematoma volume in delayed CT scans has the potential to guide more effective interventions, thereby improving patient outcomes and reducing trauma-related mortality.

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