Performance of Interleukin-6 and Interleukin-8 serum levels in pediatric oncology patients with neutropenia and fever for the assessment of low-risk.
Performance of Interleukin-6 and Interleukin-8 serum levels in pediatric oncology patients with neutropenia and fever for the assessment of low-risk.
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DOI：
10.1186/1471-2334-8-28
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发表时间：
2008-03-06
影响因子：
3.7
通讯作者：
Berner R
中科院分区：
文献类型：
--
作者：
Diepold M;Noellke P;Duffner U;Kontny U;Berner R
化疗相关的中性粒细胞减少和发热患者通常住院，并接受经验性静脉注射广谱抗生素治疗。由于感染的非特异性临床和实验室体征，发热性中性粒细胞减少症患儿的脓毒症的早期诊断仍然很困难。我们的目的是分析IL-6和IL-8是否可以定义一组低风险败血症患者。进行了一项前瞻性研究，以评估IL-6，IL-8和C-反应蛋白血清水平的潜在价值，以预测严重的细菌感染或菌血症的发热性贫血儿童癌症化疗期间。使用的统计检验：Friedman检验、Wilcoxon检验、Kruskal-Wallis H检验、Mann-Whitney U检验和接受者操作特征。在发热开始时测量的细胞因子水平的分析表明，IL-6和IL-8是有用的，以确定一个可能的组的患者具有低风险的脓毒症。在预测菌血症或严重细菌感染时，IL-6是最佳预测因子，最佳IL-6临界值为42 pg/ml，显示出高灵敏度（90%）和特异性（85%）。这些发现可能对基于风险的抗菌治疗策略具有临床意义。
Patients with chemotherapy-related neutropenia and fever are usually hospitalized and treated on empirical intravenous broad-spectrum antibiotic regimens. Early diagnosis of sepsis in children with febrile neutropenia remains difficult due to non-specific clinical and laboratory signs of infection. We aimed to analyze whether IL-6 and IL-8 could define a group of patients at low risk of septicemia. A prospective study was performed to assess the potential value of IL-6, IL-8 and C-reactive protein serum levels to predict severe bacterial infection or bacteremia in febrile neutropenic children with cancer during chemotherapy. Statistical test used: Friedman test, Wilcoxon-Test, Kruskal-Wallis H test, Mann-Whitney U-Test and Receiver Operating Characteristics. The analysis of cytokine levels measured at the onset of fever indicated that IL-6 and IL-8 are useful to define a possible group of patients with low risk of sepsis. In predicting bacteremia or severe bacterial infection, IL-6 was the best predictor with the optimum IL-6 cut-off level of 42 pg/ml showing a high sensitivity (90%) and specificity (85%). These findings may have clinical implications for risk-based antimicrobial treatment strategies.
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影响因子：
158.5
作者：
Freifeld, A;Marchigiani, D;Pizzo, PP
通讯作者：
Pizzo, PP
影响因子：
158.5
作者：
Kern, WV;Cometta, A;Gaya, H
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影响因子：
3.6
作者：
KATZ, JA;MUSTAFA, MM;BUCHANAN, GR
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BUCHANAN, GR
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3.6
作者：
Berner, R;Niemeyer, CM;Brandis, M
通讯作者：
Brandis, M