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诗里拉吉卒中评分缺乏临床实用性。

Lack of clinical utility of the Siriraj Stroke Score.

作者信息

Hui A C F, Wu B, Tang A S Y, Kay R

机构信息

Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR.

出版信息

Intern Med J. 2002 Jul;32(7):311-4. doi: 10.1046/j.1445-5994.2002.00228.x.

Abstract

BACKGROUND

The ability to distinguish between infarct and haemorrhage is essential to the management of acute cerebrovascular disease. In hospitals where emergency neuroimaging is not available, the use of stroke scores has been proposed to distinguish ischaemic from haemorrhagic stroke.

AIMS

To determine the accuracy of the Siriraj Stroke Score in distinguishing ischaemic from haemorrhagic stroke in a cohort of Chinese patients.

METHODS

We prospectively assessed and calculated the Siriraj Stroke Score from 253 patients with acute stroke. The sensitivity, specificity, positive and negative predictive values of this score were determined.

RESULTS

For cerebral haemorrhage, the sensitivity and specificity were both 90% or above, but the positive predictive value was not greater than 70%. For cerebral infarct, the sensitivity and specificity were around 80%, while the positive predictive value exceeded 90%. Analysis by plotting receiver operating characteristic curves failed to find other cut-off points that would improve the performance of the Siriraj Stroke Score.

CONCLUSIONS

Considering the inconsistent results from this study and previous studies of the Siriraj Stroke Score, we suggest that scoring systems that only require a small number of variables are unlikely to achieve the level of accuracy needed for clinical decision-making.

摘要

背景

区分梗死和出血的能力对于急性脑血管疾病的治疗至关重要。在无法进行紧急神经影像学检查的医院中,有人提出使用卒中评分来区分缺血性卒中和出血性卒中。

目的

确定Siriraj卒中评分在一组中国患者中区分缺血性卒中和出血性卒中的准确性。

方法

我们对253例急性卒中患者进行了前瞻性评估并计算了Siriraj卒中评分。确定了该评分的敏感性、特异性、阳性预测值和阴性预测值。

结果

对于脑出血,敏感性和特异性均在90%或以上,但阳性预测值不超过70%。对于脑梗死,敏感性和特异性约为80%,而阳性预测值超过90%。通过绘制受试者工作特征曲线进行分析,未发现能改善Siriraj卒中评分性能的其他截断点。

结论

考虑到本研究及先前关于Siriraj卒中评分研究结果的不一致性,我们认为仅需少量变量的评分系统不太可能达到临床决策所需的准确性水平。

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