Rosen David S, Macdonald R Loch
Department of Surgery, University of Chicago Medical Center and Pritzker School of Medicine, Chicago, Illinois 60637, USA.
Neurosurgery. 2004 Mar;54(3):566-75; discussion 575-6.
The goals of this study were to use a large, prospectively collected, multicenter database for patients with aneurysmal subarachnoid hemorrhage (SAH) who were treated between 1991 and 1997 to determine the prognostic significance of clinical and radiological factors for outcomes and to use those factors to develop a grading scale to predict outcomes.
A total of 3567 patients with SAH who were entered into four randomized clinical trials of tirilazad were studied. Outcomes were assessed 3 months after SAH, with the Glasgow Outcome Scale. Twenty clinical and radiological factors were entered into univariate and multivariate analyses, to determine factors prognostic for outcomes. Grading scales based on the most powerful prognostic parameters were statistically derived and validated and were compared with the World Federation of Neurosurgical Societies (WFNS) grading scale.
Factors predictive of outcomes included age, WFNS grade, history of hypertension, systolic blood pressure at admission, ruptured aneurysm location and size, blood clot thickness on computed tomographic scans, and angiographic vasospasm at admission. A grading scale using these factors could be derived; it predicted outcomes more accurately than did the WFNS scale, although it would be more complex to use.
Outcome prediction after SAH can be improved by adding additional clinical and radiological factors to the WFNS scale, albeit with added complexity.
本研究旨在利用一个大型的、前瞻性收集的多中心数据库,该数据库包含1991年至1997年间接受治疗的动脉瘤性蛛网膜下腔出血(SAH)患者,以确定临床和影像学因素对预后的意义,并利用这些因素制定一个分级量表来预测预后。
对纳入四项替拉扎特随机临床试验的3567例SAH患者进行研究。SAH后3个月采用格拉斯哥预后量表评估预后。将20项临床和影像学因素纳入单因素和多因素分析,以确定预后的预测因素。基于最有力的预后参数统计得出并验证分级量表,并与世界神经外科协会联盟(WFNS)分级量表进行比较。
预后的预测因素包括年龄、WFNS分级、高血压病史、入院时收缩压、破裂动脉瘤的位置和大小、计算机断层扫描上的血凝块厚度以及入院时的血管造影血管痉挛。可以得出一个使用这些因素的分级量表;它比WFNS量表更准确地预测预后,尽管使用起来会更复杂。
通过在WFNS量表中增加额外的临床和影像学因素,SAH后的预后预测可以得到改善,尽管会增加复杂性。