Dicpinigaitis Alis J, Feldstein Eric, Damodara Nitesh, Cooper Jared B, Shapiro Steven D, Kamal Haris, Kinon Merritt D, Pisapia Jared, Rosenberg Jon, Gandhi Chirag D, Al-Mufti Fawaz
1School of Medicine, New York Medical College.
2Department of Neurosurgery, Westchester Medical Center, and.
Neurosurg Focus. 2022 Mar;52(3):E14. doi: 10.3171/2021.12.FOCUS21668.
Limited evidence exists characterizing the incidence, risk factors, and clinical associations of cerebral vasospasm following traumatic intracranial hemorrhage (tICH) on a large scale. Therefore, the authors sought to use data from a national inpatient registry to investigate these aspects of posttraumatic vasospasm (PTV) to further elucidate potential causes of neurological morbidity and mortality subsequent to the initial insult.
Weighted discharge data from the National (Nationwide) Inpatient Sample from 2015 to 2018 were queried to identify patients with tICH who underwent diagnostic angiography in the same admission and, subsequently, those who developed angiographically confirmed cerebral vasospasm. Multivariable logistic regression analysis was performed to identify significant associations between clinical covariates and the development of vasospasm, and a tICH vasospasm predictive model (tICH-VPM) was generated based on the effect sizes of these parameters.
Among 5880 identified patients with tICH, 375 developed PTV corresponding to an incidence of 6.4%. Multivariable adjusted modeling determined that the following clinical covariates were independently associated with the development of PTV, among others: age (adjusted odds ratio [aOR] 0.98, 95% CI 0.97-0.99; p < 0.001), admission Glasgow Coma Scale score < 9 (aOR 1.80, 95% CI 1.12-2.90; p = 0.015), intraventricular hemorrhage (aOR 6.27, 95% CI 3.49-11.26; p < 0.001), tobacco smoking (aOR 1.36, 95% CI 1.02-1.80; p = 0.035), cocaine use (aOR 3.62, 95% CI 1.97-6.63; p < 0.001), fever (aOR 2.09, 95% CI 1.34-3.27; p = 0.001), and hypokalemia (aOR 1.62, 95% CI 1.26-2.08; p < 0.001). The tICH-VPM achieved moderately high discrimination, with an area under the curve of 0.75 (sensitivity = 0.61 and specificity = 0.81). Development of vasospasm was independently associated with a lower likelihood of routine discharge (aOR 0.60, 95% CI 0.45-0.78; p < 0.001) and an extended hospital length of stay (aOR 3.53, 95% CI 2.78-4.48; p < 0.001), but not with mortality.
This population-based analysis of vasospasm in tICH has identified common clinical risk factors for its development, and has established an independent association between the development of vasospasm and poorer neurological outcomes.
关于创伤性颅内出血(tICH)后脑血管痉挛的发病率、危险因素及临床关联,目前大规模的特征性证据有限。因此,作者试图利用全国住院患者登记数据来研究创伤后血管痉挛(PTV)的这些方面,以进一步阐明初始损伤后神经功能障碍和死亡的潜在原因。
查询2015年至2018年全国(全美)住院患者样本的加权出院数据,以识别在同一住院期间接受诊断性血管造影的tICH患者,以及随后经血管造影证实发生脑血管痉挛的患者。进行多变量逻辑回归分析,以确定临床协变量与血管痉挛发生之间的显著关联,并基于这些参数的效应大小生成tICH血管痉挛预测模型(tICH-VPM)。
在5880例确诊的tICH患者中,375例发生了PTV,发病率为6.4%。多变量校正模型确定,以下临床协变量与PTV的发生独立相关:年龄(校正比值比[aOR]0.98,95%可信区间[CI]0.97-0.99;p<0.001)、入院时格拉斯哥昏迷量表评分<9(aOR 1.80,95%CI 1.12-2.90;p=0.015)、脑室内出血(aOR 6.27,95%CI 3.49-11.26;p<0.001)、吸烟(aOR 1.36,95%CI 1.02-1.80;p=0.035)、使用可卡因(aOR 3.62,95%CI 1.97-6.63;p<0.001)、发热(aOR 2.09,95%CI 1.34-3.27;p=0.001)和低钾血症(aOR 1.62,95%CI 1.26-2.08;p<0.001)。tICH-VPM具有中等偏高的辨别力,曲线下面积为0.75(敏感性=0.61,特异性=0.81)。血管痉挛与常规出院可能性降低(aOR 0.60,95%CI 0.45-0.78;p<0.001)和住院时间延长(aOR 3.53,95%CI 2.78-4.48;p<0.001)独立相关,但与死亡率无关。
这项基于人群的tICH血管痉挛分析确定了其发生的常见临床危险因素,并确定了血管痉挛与较差神经功能结局之间的独立关联。