Department of Medical Informatics, Erasmus MC, Room Ee 2159, P.O. Box 2040, 3000 CA, Rotterdam, The Netherlands.
Eur J Epidemiol. 2010 Apr;25(4):261-6. doi: 10.1007/s10654-010-9432-x. Epub 2010 Feb 14.
Aneurysmal subarachnoid haemorrhage (aSAH) is a devastating event with substantial case-fatality. Our purpose was to examine which clinical and neuro-imaging characteristics, available on admission, predict 60 day case-fatality in aSAH and to evaluate performance of our prediction model. We performed a secondary analysis of patients enrolled in the International Subarachnoid Aneurysm Trial (ISAT), a randomised multicentre trial to compare coiling with clipping in aSAH patients. Multivariable logistic regression analysis was used to develop a prognostic model to estimate the risk of dying within 60 days from aSAH based on clinical and neuro-imaging characteristics. The model was internally validated with bootstrapping techniques. The study population comprised of 2,128 patients who had been randomised to either endovascular coiling or neurosurgical clipping. In this population 153 patients (7.2%) died within 60 days. World Federation of Neurosurgical Societies (WFNS) grade was the most important predictor of case-fatality, followed by age, lumen size of the aneurysm and Fisher grade. The model discriminated reasonably between those who died within 60 days and those who survived (c statistic = 0.73), with minor optimism according to bootstrap re-sampling (optimism corrected c statistic = 0.70). Several strong predictors are available to predict 60 day case-fatality in aSAH patients who survived the early stage up till a treatment decision; after external validation these predictors could eventually be used in clinical decision making.
颅内动脉瘤性蛛网膜下腔出血(aSAH)是一种致命性疾病。我们的目的是研究哪些临床和神经影像学特征可在发病时预测 aSAH 患者 60 天的病死率,并评估我们的预测模型的性能。我们对国际蛛网膜下腔出血试验(ISAT)中入组的患者进行了二次分析,该试验是一项比较 aSAH 患者血管内介入治疗与开颅夹闭治疗的随机多中心试验。采用多变量逻辑回归分析建立预后模型,根据临床和神经影像学特征来估计 aSAH 患者 60 天内死亡的风险。该模型采用 Bootstrap 技术进行内部验证。研究人群包括 2128 例被随机分配到血管内介入治疗组或开颅夹闭治疗组的患者。该人群中,153 例(7.2%)患者在 60 天内死亡。世界神经外科学会联合会(WFNS)分级是病死率的最重要预测因素,其次是年龄、动脉瘤瘤腔大小和 Fisher 分级。该模型在预测 60 天病死率方面具有较好的区分度(c 统计值为 0.73),但根据 Bootstrap 重抽样存在轻微的乐观倾向(校正后的 c 统计值为 0.70)。有一些强有力的预测因素可用于预测早期存活至治疗决策阶段的 aSAH 患者 60 天的病死率;经过外部验证后,这些预测因素最终可能会用于临床决策。