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中性粒细胞减少性发热的血液病患者菌血症和严重脓毒症的生物标志物:多变量逻辑回归分析和因子分析。

Biomarkers for bacteremia and severe sepsis in hematological patients with neutropenic fever: multivariate logistic regression analysis and factor analysis.

机构信息

Institute of Clinical Medicine/Internal Medicine, University of Eastern Finland, Kuopio, Finland.

出版信息

Leuk Lymphoma. 2011 Dec;52(12):2349-55. doi: 10.3109/10428194.2011.597904. Epub 2011 Jul 14.

Abstract

We compared biomarkers and their changes as predictors for bacteremia and severe sepsis during neutropenic fever after intensive chemotherapy in hematological patients. Serum C-reactive protein (CRP), semi-quantative procalcitonin, aminoterminal pro-brain natriuretic peptide (NT-proBNP), cortisol, lactate, plasma antithrombin and fibrinogen were measured daily from day 0 to day 3/day 4 in 89 neutropenic fever episodes of 65 hematological patients. The best predictors for bacteremia and gram-negative bacteremia were procalcitonin and its change, with odds ratios (ORs) and 95% confidence intervals of 2.63 (1.56-4.44) and 3.20 (1.77-5.80) for bacteremia and 4.14 (2.00-8.58) and 5.04 (2.18-11.63) for gram-negative bacteremia, respectively. For severe sepsis, the best predictors were CRP and fibrinogen, with ORs of 1.94 (1.07-3.52) and 1.92 (1.05-3.54). Factor analysis provided two predictive factors: procalcitonin-NT-proBNP-antithrombin factor predicted gram-negative bacteremia and CRP-fibrinogen predicted severe sepsis. Applying a combination of markers reflecting different aspects of infection might improve the recognition of risk for complications in patients with neutropenic fever.

摘要

我们比较了生物标志物及其变化作为血液系统恶性肿瘤患者强化化疗后中性粒细胞减少性发热并发菌血症和严重脓毒症的预测因子。在 65 例血液系统恶性肿瘤患者 89 例中性粒细胞减少性发热中,每天从第 0 天到第 3 天/第 4 天检测血清 C 反应蛋白(CRP)、半定量降钙素原、氨基末端脑钠肽前体(NT-proBNP)、皮质醇、乳酸、血浆抗凝血酶和纤维蛋白原。预测菌血症和革兰氏阴性菌血症的最佳指标是降钙素原及其变化,其比值比(OR)及其 95%置信区间分别为 2.63(1.56-4.44)和 3.20(1.77-5.80)。对于严重脓毒症,最佳预测指标是 CRP 和纤维蛋白原,OR 分别为 1.94(1.07-3.52)和 1.92(1.05-3.54)。因子分析提供了两个预测因子:降钙素原-NT-proBNP-抗凝血酶因子预测革兰氏阴性菌血症,CRP-纤维蛋白原预测严重脓毒症。应用反映感染不同方面的标志物组合可能会提高对中性粒细胞减少性发热患者并发症风险的识别能力。

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