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预测急性缺血性脑卒中合并肺炎:五种预测评分模型比较。

Predicting Pneumonia in Acute Ischaemic Stroke: Comparison of Five Prediction Scoring Models.

机构信息

Department of Neurology, National Neuroscience Institute, Tan Tock Seng Hospital, Singapore.

出版信息

Ann Acad Med Singap. 2017 Jun;46(6):237-244.

PMID:28733688
Abstract

INTRODUCTION

Although pneumonia is a major complication after acute ischaemic stroke (AIS), pneumonia prediction scores have not been extensively validated. This study aimed to compare the discrimination performance of 5 pneumonia prediction scores in AIS patients.

MATERIALS AND METHODS

We retrospectively reviewed all consecutive adult AIS patients whom presented to our emergency department within 4.5 hours of symptom-onset between January 2012 and February 2015. Diagnosis had to be made by a neurologist and infarcts confirmed by neuroimaging. We excluded patients with pneumonia on presentation. Pneumonia predictors were based on the 5 prediction scoring models: Kwon's score, Chumbler's score, Acute Ischaemic Stroke-Associated Pneumonia Score (AIS-APS), ADS score and ISAN score. The definition of stroke-associated pneumonia was based on the criteria by the Pneumonia in Stroke Consensus Group. Analysis using area under receiver operating characteristics curve (AUROC) was performed.

RESULTS

Forty (5.5%) out of 731 patients analysed had stroke-associated pneumonia (SAP). ADS score had the highest discrimination capacity (AUROC 0.88; 95% CI, 0.84 to 0.92), followed by AIS-APS (AUROC 0.87; 95% CI, 0.83 to 0.91), Kwon's score (AUROC 0.86; 95% CI, 0.82 to 0.92), Prestroke Independence, Sex, Age and National Institutes of Health Stroke Scale (ISAN) score (AUROC 0.85; 95% CI, 0.80 to 0.90) and Chumbler's score (AUROC 0.79; 95% CI, 0.74 to 0.84). However, there was no statistical difference of discrimination capacity among ADS score, AIS-APS and Kwon's score.

CONCLUSION

ADS , AIS-APS and Kwon's scores performed comparably in discriminating SAP in AIS patients.

摘要

简介

尽管肺炎是急性缺血性脑卒中(AIS)后的主要并发症,但肺炎预测评分并未得到广泛验证。本研究旨在比较 5 种肺炎预测评分在 AIS 患者中的鉴别性能。

材料和方法

我们回顾性分析了 2012 年 1 月至 2015 年 2 月期间在症状发作后 4.5 小时内到我院急诊就诊的所有连续成年 AIS 患者。诊断必须由神经科医生做出,梗塞通过神经影像学证实。我们排除了入院时患有肺炎的患者。肺炎预测因素基于 5 种预测评分模型:Kwon 评分、Chumbler 评分、急性缺血性脑卒中相关性肺炎评分(AIS-APS)、ADS 评分和 ISAN 评分。脑卒中相关性肺炎的定义基于脑卒中肺炎共识组的标准。使用受试者工作特征曲线下面积(AUROC)进行分析。

结果

在分析的 731 例患者中,有 40 例(5.5%)患有脑卒中相关性肺炎(SAP)。ADS 评分具有最高的鉴别能力(AUROC 0.88;95%CI,0.84 至 0.92),其次是 AIS-APS(AUROC 0.87;95%CI,0.83 至 0.91)、Kwon 评分(AUROC 0.86;95%CI,0.82 至 0.92)、Prestroke 独立性、性别、年龄和国立卫生研究院脑卒中量表(ISAN)评分(AUROC 0.85;95%CI,0.80 至 0.90)和 Chumbler 评分(AUROC 0.79;95%CI,0.74 至 0.84)。然而,ADS 评分、AIS-APS 和 Kwon 评分之间的鉴别能力没有统计学差异。

结论

在 AIS 患者中,ADS、AIS-APS 和 Kwon 评分在鉴别 SAP 方面表现相当。

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