脑肿瘤手术后脑积水:术后脑积水发生的相关因素及预测评分模型。

Asian journal of neurosurgery Pub Date : 2024-02-26 eCollection Date: 2024-03-01 DOI:10.1055/s-0044-1779345
Raweenut Beangklang, Bunpot Sitthinamsuwan, Chottiwat Tansirisithikul, Sarun Nunta-Aree
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引用次数: 0

摘要

脑肿瘤手术后会出现脑积水,尽管脑积水的病因已得到最佳根除。本研究旨在调查需要分流手术的术后脑积水发生的相关因素,并生成该病症的预测评分模型。研究收集了人口统计学、临床、影像学、治疗、实验室、并发症和术后数据。采用二元逻辑回归研究最终模型,以生成术后脑积水的预测评分系统。共纳入了 179 名接受脑肿瘤手术的患者。45例(25.1%)患者术后出现脑积水,需要进行分流手术。在单变量分析中发现,有几个因素与术后脑积水有关。多变量分析显示,术后脑积水的强预测因素包括术前肿瘤复发(比值比 [OR],4.38;95% 置信区间 [CI],1.28-14.98;P = 0.018)、术前脑积水(OR,6.52;95% CI,2.44-17.46;P = 0.030)、转移(OR,5.19;95% CI,1.72-15.69;P = 0.004)、脑室内出血(OR,7.08;95% CI,1.80-27.82;P = 0.005)和残余肿瘤体积(OR,1.05;95% CI,1.01-1.09;P = 0.007)。利用具有最佳曲线下面积和最佳临界点的临界预测评分来区分术后脑积水高危患者和低危患者。该研究报告了与术后脑积水发生密切相关的预测因素。预测评分系统有助于识别术后脑积水风险增加的患者。被归为高风险组的患者需要对脑积水进行封闭监测。
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Hydrocephalus following Brain Tumor Surgery: Factors Correlating with Occurrence of Postoperative Hydrocephalus and Predictive Scoring Model.

Hydrocephalus following brain tumor surgery is found, although cause of hydrocephalus is optimally eradicated. This study aimed to investigate factors associated with development of postoperative hydrocephalus that requires shunt procedure and generate predictive scoring model of this condition. Demographic, clinical, radiographic, treatment, laboratory, complication, and postoperative data were collected. Binary logistic regression was used to investigate final model for generating predictive scoring system of postoperative hydrocephalus. A total of 179 patients undergoing brain tumor surgery were included. Forty-five (25.1%) patients had postoperative hydrocephalus that required shunt surgery. In univariate analysis, several factors were found to be associated with postoperative hydrocephalus. Strong predictors of postoperative hydrocephalus revealed in multivariate analysis included tumor recurrence before surgery (odds ratio [OR], 4.38; 95% confidence interval [CI], 1.28-14.98; p  = 0.018), preoperative hydrocephalus (OR, 6.52; 95% CI, 2.44-17.46; p  < 0.001), glial tumor (OR, 3.76; 95% CI, 1.14-12.43; p  = 0.030), metastasis (OR, 5.19; 95% CI, 1.72-15.69; p  = 0.004), intraventricular hemorrhage (OR, 7.08; 95% CI, 1.80-27.82; p  = 0.005), and residual tumor volume (OR, 1.05; 95% CI, 1.01-1.09; p  = 0.007). A cutoff predictive score with the best area under curve and optimum cutoff point was utilized for discriminating patients with high risk from individuals with low risk in occurrence of postoperative hydrocephalus. This study reported predictive factors strongly associated with development of postoperative hydrocephalus. Predictive scoring system is useful for identifying patients with an increased risk of postoperative hydrocephalus. Patients classified in the high-risk group require closed surveillance of the hydrocephalus.

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