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首页> 外文期刊>Leukemia and lymphoma >Biomarkers for bacteremia and severe sepsis in hematological patients with neutropenic fever: Multivariate logistic regression analysis and factor analysis
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Biomarkers for bacteremia and severe sepsis in hematological patients with neutropenic fever: Multivariate logistic regression analysis and factor analysis

机译:血液学中性粒细胞减少症患者菌血症和严重败血症的生物标志物:多因素logistic回归分析和因子分析

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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 (1.564.44) and 3.20 (1.775.80) for bacteremia and 4.14 (2.008.58) and 5.04 (2.1811.63) for gram-negative bacteremia, respectively. For severe sepsis, the best predictors were CRP and fibrinogen, with ORs of 1.94 (1.073.52) and 1.92 (1.053.54). Factor analysis provided two predictive factors: procalcitoninNT-proBNPantithrombin factor predicted gram-negative bacteremia and CRPfibrinogen 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.
机译:我们比较了血液标志物强化化疗后中性粒细胞减少症中细菌标记物及其变化作为中性粒细胞减少症中菌血症和严重败血症的预测指标。在89例中性白细胞减少症患者中,每天从第0天到第3天/第4天每天测量血清C反应蛋白(CRP),半定量降钙素,氨基末端脑利钠肽(NT-proBNP),皮质醇,乳酸盐,血浆抗凝血酶和纤维蛋白原。 65例血液学患者发作。菌血症和革兰氏阴性菌血症的最佳预测指标是降钙素及其变化,菌血症的比值比(OR)和95%置信区间分别为2.63(1.564.44)和3.20(1.775.80),以及4.14(2.008.58)和革兰氏阴性菌血症分别为5.04(2.1811.63)。对于严重的败血症,最好的预测指标是CRP和纤维蛋白原,OR分别为1.94(1.073.52)和1.92(1.053.54)。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败血症。应用反映感染不同方面的标记物组合可能会提高对中性粒细胞减少症患者发生并发症风险的认识。

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