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Prediction of 60 day case-fatality after aneurysmal subarachnoid haemorrhage: results from the International Subarachnoid Aneurysm Trial (ISAT)

机译:预测动脉瘤性蛛网膜下腔出血后60天病死率:国际蛛网膜下腔动脉瘤试验(ISAT)的结果

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摘要

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.
机译:动脉瘤性蛛网膜下腔出血(aSAH)是具有重大病例致命性的毁灭性事件。我们的目的是检查入院时可利用的哪些临床和神经影像学特征,预测aSAH中60天的病死率并评估我们的预测模型的性能。我们对参加国际蛛网膜下腔动脉瘤试验(ISAT)的患者进行了二次分析,这项随机多中心试验旨在比较aSAH患者的盘绕和截留。多变量逻辑回归分析用于建立预后模型,根据临床和神经影像学特征评估aSAH在60天内死亡的风险。该模型已通过自举技术进行了内部验证。研究人群包括2128名患者,这些患者被随机分为血管内卷曲或神经外科钳夹。在这个人群中,有153名患者(7.2%)在60天内死亡。世界神经外科学会联合会(WFNS)等级是病死率的最重要预测指标,其次是年龄,动脉瘤的管腔大小和费希尔等级。该模型在60天之内死亡和幸存者之间进行了合理区分(c统计= 0.73),根据自举重新抽样(乐观校正c统计= 0.70)略有乐观。有几种强有力的预测因子可以预测aSAH患者的60天病死率,这些患者在早期阶段生存直至做出治疗决定;在外部验证之后,这些预测因子最终可用于临床决策。

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