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在外科重症监护病房中使用生物标志物预测有培养物证实的感染。

Use of biomarkers in the prediction of culture-proven infection in the surgical intensive care unit.

机构信息

Department of Anesthesiology, Ochsner Medical Center, 1514 Jefferson Hwy, New Orleans, LA 70121, USA; King Abdulaziz University, Department of Anesthesia and Critical Care, Jeddah, Saudi Arabia.

Department of Anesthesiology, Ochsner Medical Center, 1514 Jefferson Hwy, New Orleans, LA 70121, USA.

出版信息

J Crit Care. 2019 Feb;49:149-154. doi: 10.1016/j.jcrc.2018.10.023. Epub 2018 Oct 30.

Abstract

PURPOSE

The purpose of this study was to prospectively analyze the predictive role of classic predictors for suspected infection (temperature, WBC and derivatives) with two biomarkers, procalcitonin and lactate, on the incidence of culture-proven infection in the surgical intensive care unit (SICU).

MATERIALS AND METHODS

One hundred forty-six consecutive patients admitted for suspected infection had admission and 12-h procalcitonin values, admission and every 6-h lactate values for 24 h, and admission temperature, leukocyte count, lymphocyte count and percentage measured and analyzed in this study.

RESULTS

Peak (highest measured value ≤24-h of admission) procalcitonin values were not predictive for culture-proven infection. However, a culture-negative subset was identified when peak procalcitonin values were  < 2.9 ng/mL and when peak lactate values were  < 1.3 mmol/L with a probability of 98.3% (P < .001). No other admission predictor was statistically associated with culture-proven infection. Following boosted-tree partitioning, a C-index of 0.85 was calculated with a misclassification rate of 23.3%.

CONCLUSIONS

The ability to utilize procalcitonin values in the diagnosis of culture-proven infection was not realized in this study. However, the association of admission peak procalcitonin values with admission peak lactate values identified a group of patients who were culture-negative for suspected infection. No other admission predictor was associated with culture-proven infection.

摘要

目的

本研究旨在前瞻性分析经典感染预测因子(体温、白细胞计数及其衍生指标)与降钙素原和乳酸两种生物标志物在外科重症监护病房(SICU)确诊感染发生率方面的预测作用。

材料和方法

146 例连续入院疑似感染患者,在入院时和入院后 12 小时测量降钙素原值,入院后每 6 小时测量 1 次乳酸值,连续测量 24 小时,同时测量并分析入院时体温、白细胞计数、淋巴细胞计数和百分比。

结果

峰值(≤入院后 24 小时内的最高测量值)降钙素原值不能预测确诊感染。然而,当峰值降钙素原值<2.9ng/mL 且峰值乳酸值<1.3mmol/L 时,可以识别出一个培养阴性亚组,其概率为 98.3%(P<0.001)。没有其他入院预测因子与确诊感染具有统计学相关性。经 Boosted-tree 分区后,计算得出 C 指数为 0.85,错误分类率为 23.3%。

结论

本研究未能证实降钙素原值在确诊感染诊断中的应用能力。然而,入院时峰值降钙素原值与入院时峰值乳酸值的相关性确定了一组疑似感染培养阴性的患者。没有其他入院预测因子与确诊感染相关。

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