Identification of Demographic and Clinical Prognostic Factors in Traumatic Intraventricular Hemorrhage

医学 格拉斯哥昏迷指数 脑室出血 置信区间 创伤性脑损伤 观察研究 格拉斯哥结局量表 优势比 逻辑回归 单变量分析 内科学 前瞻性队列研究 神经学 多元分析 外科 胎龄 怀孕 精神科 生物 遗传学
作者
Abby K. Scurfield,Machelle D. Wilson,Gene Gurkoff,Ryan Martin,Kiarash Shahlaie
出处
期刊:Neurocritical Care [Springer Nature]
标识
DOI:10.1007/s12028-022-01587-z
摘要

BackgroundThe presence of traumatic intraventricular hemorrhage (tIVH) following traumatic brain injury (TBI) is associated with worse neurological outcome. The mechanisms by which patients with tIVH have worse outcome are not fully understood and research is ongoing, but foundational studies that explore prognostic factors within tIVH populations are also lacking. This study aimed to further identify and characterize demographic and clinical variables within a subset of patients with TBI and tIVH that may be implicated in tIVH outcome.MethodsIn this observational study, we reviewed a large prospective TBI database to determine variables present on admission that predicted neurological outcome 6 months after injury. A review of 7,129 patients revealed 211 patients with tIVH on admission and 6-month outcome data. Hypothesized risk factors were tested in univariate analyses with significant variables (p < 0.05) included in logistic and linear regression models. Following the addition of either the Rotterdam computed tomography or Glasgow Coma Scale (GCS) score, we employed a backward selection process to determine significant variables in each multivariate model.ResultsOur study found that that hypotension (odds ratio [OR] = 0.35, 95% confidence interval [CI] = 0.13–0.94, p = 0.04) and the hemoglobin level (OR = 1.33, 95% CI = 1.09–1.63, p = 0.006) were significant predictors in the Rotterdam model, whereas only the hemoglobin level (OR = 1.29, 95% CI = 1.06–1.56, p = 0.01) was a significant predictor in the GCS model.ConclusionsThis study represents one of the largest investigations into prognostic factors for patients with tIVH and demonstrates that admission hemoglobin level and hypotension are associated with outcomes in this patient population. These findings add value to established prognostic scales, could inform future predictive modeling studies, and may provide potential direction in early medical management of patients with tIVH.
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