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与单次降钙素原测量相比,对生物标志物进行连续和组套分析并不能提高菌血症的预测效果。

Serial and panel analyses of biomarkers do not improve the prediction of bacteremia compared to one procalcitonin measurement.

机构信息

Nijmegen Institute for Infection, Inflammation, and Immunity (N4i), Radboud University Nijmegen Medical Centre, The Netherlands.

出版信息

J Infect. 2012 Oct;65(4):292-301. doi: 10.1016/j.jinf.2012.06.004. Epub 2012 Jun 15.

Abstract

OBJECTIVES

We evaluated the value of a single biomarker, biomarker panels, biomarkers combined with clinical signs of sepsis, and serial determinations of biomarkers in the prediction of bacteremia in patients with sepsis.

METHODS

Adult patients visiting the emergency department because of a suspected infection with at least two of the following symptoms: temperature >38.3°C or <36°C, heart rate >90/min, respiratory rate >20/min, chills, altered mental status, systolic blood pressure <90 mmHg, MAP <65 mmHg, and hyperglycemia in the absence of diabetes mellitus were included. Procalcitonin (PCT), interleukin-6 (IL-6), lipopolysaccharide-binding protein (LBP), C-reactive protein (CRP) were measured, and two blood cultures were taken. The analyses included: (1) determination of the biomarker with the highest predictive value for bacteremia and to examine the predictive value of this biomarker in combination with other biomarkers; (2) analysis of the best biomarker data in combination with clinical signs of sepsis; and (3) analysis of serial determinations of the best biomarker.

RESULTS

Of 342 included patients, PCT had the best predictive value for bacteremia with an area under the curve of 0.80, sensitivity 89%, specificity 58%. The predictive value of a combination of PCT plus a panel of other biomarkers, clinical signs, or analysis of serial PCT levels did not lead to a significant improvement of the predictive value of PCT alone.

CONCLUSIONS

The ability of PCT to predict bacteremia in patients with sepsis does not further improve when combined with IL-6, LBP, CRP, clinical signs, or serial measurements. Naturally, this does not exclude that a panel of other biomarkers may lead to different results.

摘要

目的

我们评估了单个生物标志物、生物标志物组合、结合脓毒症临床征象的生物标志物以及生物标志物的连续测定在预测脓毒症患者菌血症中的价值。

方法

因疑似感染而就诊于急诊科的成年患者至少存在以下两种症状:体温>38.3°C 或<36°C、心率>90/min、呼吸频率>20/min、寒战、意识状态改变、收缩压<90mmHg、平均动脉压<65mmHg 以及无糖尿病的高血糖症。测定降钙素原(PCT)、白细胞介素-6(IL-6)、脂多糖结合蛋白(LBP)、C 反应蛋白(CRP),并采集两份血培养。分析包括:(1)确定对菌血症具有最高预测价值的生物标志物,并检验该生物标志物与其他生物标志物联合的预测价值;(2)分析最佳生物标志物数据与脓毒症临床征象的联合情况;(3)分析最佳生物标志物的连续测定结果。

结果

342 例纳入患者中,PCT 对菌血症的预测价值最高,曲线下面积为 0.80,灵敏度 89%,特异性 58%。PCT 联合其他生物标志物组合、临床征象或连续 PCT 水平分析的预测价值并未显著提高 PCT 单独预测价值。

结论

当与 IL-6、LBP、CRP、临床征象或连续测量联合使用时,PCT 预测脓毒症患者菌血症的能力并未进一步提高。当然,这并不排除其他生物标志物组合可能会产生不同的结果。

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