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copeptin、降钙素原和常规炎症标志物——卒中后感染的预测因子。

Copeptin, procalcitonin and routine inflammatory markers-predictors of infection after stroke.

机构信息

Department of Neurology, University Hospital Basel, Basel, Switzerland.

出版信息

PLoS One. 2012;7(10):e48309. doi: 10.1371/journal.pone.0048309. Epub 2012 Oct 31.

DOI:10.1371/journal.pone.0048309
PMID:23118979
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3485149/
Abstract

BACKGROUND

Early predictors for the development of stroke-associated infection may identify patients at high risk and reduce post-stroke infection and mortality.

METHODS

In 383 prospectively enrolled acute stroke patients we assessed time point and type of post-stroke infections (i.e. pneumonia, urinary tract infection (UTI) other infection (OI)). Blood samples were collected on admission, and days 1, and 3 to assess white blood cells (WBC), monocytes, C-reactive protein (CRP), procalcitonin (PCT), and copeptin. To determine the magnitude of association with the development of infections, odds ratios (OR) were calculated for each prognostic blood marker. The discriminatory ability of different predictors was assessed, by calculating area under the receiver operating characteristic curves (AUC). Prognostic models including the three parameters with the best performance were identified.

RESULTS

Of 383 patients, 66 (17.2%) developed an infection after onset of stroke. WBC, CRP, copeptin and PCT were all independent predictors of any infection, pneumonia and UTI developed at least 24 hours after measurements. The combination of the biomarkers WBC, CRP and copeptin (AUC: 0.92) and WBC, CRP and PCT (AUC: 0.90) showed a better predictive accuracy concerning the development of pneumonia during hospitalization compared to each marker by itself (p-Wald <0.0001).

CONCLUSION

Among ischemic stroke patients, copeptin, PCT, WBC and CRP measured on admission were predictors of infection in general, and specifically for pneumonia and UTI within 5 days after stroke. The combination of these biomarkers improved the prediction of patients who developed an infection.

摘要

背景

卒中相关性感染的早期预测因子可识别高危患者,从而降低卒中后感染和死亡率。

方法

我们评估了 383 例前瞻性纳入的急性卒中患者的卒中后感染(即肺炎、尿路感染(UTI)和其他感染(OI))的时间点和类型。入院时、第 1 天和第 3 天采集血样,以评估白细胞(WBC)、单核细胞、C 反应蛋白(CRP)、降钙素原(PCT)和 copeptin。为了确定与感染发生的关联程度,为每个预后血液标志物计算了优势比(OR)。通过计算受试者工作特征曲线下的面积(AUC)来评估不同预测因子的鉴别能力。确定了包含三个表现最佳参数的预后模型。

结果

在 383 例患者中,有 66 例(17.2%)在卒中发病后发生感染。WBC、CRP、copeptin 和 PCT 均为感染的独立预测因子,肺炎和 UTI 在测量后至少 24 小时发生。与每个标志物单独相比,标志物 WBC、CRP 和 copeptin(AUC:0.92)和 WBC、CRP 和 PCT(AUC:0.90)的组合在住院期间预测肺炎发生方面具有更好的预测准确性(p-Wald<0.0001)。

结论

在缺血性卒中患者中,入院时测量的 copeptin、PCT、WBC 和 CRP 是感染的预测因子,特别是卒中后 5 天内的肺炎和 UTI 的预测因子。这些生物标志物的组合提高了发生感染的患者的预测能力。

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