Pan Yuchun, Xue Yuanfeng, Zhao Penglai, Ding Junhong, Ren Zhiwen, Xu Jian
Department of Neurosurgery, Lishui People's Hospital, Lishui Region of Zhongda Hospital Affiliated to Southeast University, Nanjing, China.
Department of Neurosurgery, Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China.
J Int Med Res. 2020 Aug;48(8):300060520941291. doi: 10.1177/0300060520941291.
To analyze the significance of intracranial pressure (ICP)-related parameters on outcome in patients with severe traumatic brain injury. The ICP-related parameters included ICP, ICP dose (DICP), regression of the correlation coefficient between amplitude and pressure (RAP), pressure reactivity index (PRx), and cerebral perfusion pressure (CPP).
A retrospective analysis was performed using clinical information from 29 patients with severe traumatic brain injury who were admitted to the Department of Neurosurgery from January 2018 to January 2019. All patients underwent ICP probe implantation after admission. Patients were followed up for 6 months after discharge, and were categorized into either the favorable or unfavorable outcome group based on their Glasgow Outcome Scale score. The differences in ICP, DICP, RAP, PRx, and CPP between the two groups were analyzed for their effects on outcome.
The average ICP, DICP, PRx, and RAP values in patients with favorable outcomes were significantly lower than in patients with unfavorable outcomes, while CPP values were significantly higher in the favorable outcome group.
Average ICP, DICP, PRx, RAP, and CPP values may indicate disease status and relate to patient outcomes. It is important to use multiple parameters to predict patients' disease severity and prognosis.
分析颅内压（ICP）相关参数对重度创伤性脑损伤患者预后的意义。ICP相关参数包括颅内压、颅内压剂量（DICP）、振幅与压力之间相关系数的回归值（RAP）、压力反应性指数（PRx）和脑灌注压（CPP）。
采用回顾性分析方法，使用2018年1月至2019年1月入住神经外科的29例重度创伤性脑损伤患者的临床资料。所有患者入院后均进行了ICP探头植入。患者出院后随访6个月，并根据格拉斯哥预后量表评分分为预后良好组或预后不良组。分析两组患者在ICP、DICP、RAP、PRx和CPP方面的差异对预后的影响。
预后良好患者的平均ICP、DICP、PRx和RAP值显著低于预后不良患者，而预后良好组的CPP值显著更高。
平均ICP、DICP、PRx、RAP和CPP值可能表明疾病状态并与患者预后相关。使用多个参数预测患者的疾病严重程度和预后很重要。
