首页> 美国卫生研究院文献>Journal of Fungi >Performance Correlation and Kinetic Profile of Circulating Serum Fungal Biomarkers of Invasive Aspergillosis in High-Risk Patients with Hematologic Malignancies
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Performance Correlation and Kinetic Profile of Circulating Serum Fungal Biomarkers of Invasive Aspergillosis in High-Risk Patients with Hematologic Malignancies

机译:血清血清血清血清血清真菌生物标志物的性能相关性和动力学曲线血清血清病虫病血液学恶性肿瘤患者

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摘要

As conventional microbiological documentation of invasive aspergillosis (IA) is difficult to obtain, serum fungal biomarkers are important adjunctive diagnostic tools. Positivity rates and the kinetic profiles of galactomannan (GM), 1,3-β-D-glucan (BDG) and Aspergillus DNA (PCR) were studied in high-risk patients with hematologic malignancies. GM, BDG and PCR data from serial serum specimens (n = 240) from 93 adult hematology patients with probable (n = 8), possible (n = 25) and no (n = 60) IA were retrospectively analyzed. Positivity rates and sensitivity/specificity/positiveegative predictive values (NPV) of each fungal biomarker alone and in combination were estimated. The three markers were compared head-to-head and correlated with various biochemical, demographic and patient characteristics. The positivity rates for patients with probable/possibleo IA were 88%/8%/0% for GM (X2 = 55, p < 0.001), 62%/46%/35% for BDG (X2 = 2.5, p = 0.29), 62%/33%/27% for PCR (X2 = 3.9, p = 0.15), 50%/4%/0% for GM + BDG and GM + PCR (X2 = 31, p < 0.001), 50%/8%/22% for BDG + PCR (X2 = 6.5, p = 0.038) and 38%/4%/0% for GM + BDG + PCR (X2 = 21, p < 0.001). Higher agreement (76%) and negative correlation (rs = −0.47, p = 0.0017) was found between GM index and PCR Ct values. The sensitivity and NPV was 45–55% and 90–92% when biomarkers assessed alone and increased to 75–90% and 93–97%, respectively when combined. Weak significant correlations were found between GM, PCR and BDG results with renal/liver function markers (r = 0.11–0.57) with most GM+ and PCR+ samples found in the first and second week of clinical assessment, respectively and BDG later on. Different positivity rates, time profiles and performances were found for the three biomarkers advocating the combination of GM with PCR for the early diagnosis of IA, whereas the high NPV of combined biomarkerscould help excluding IA.
机译:由于难以获得的侵袭性曲霉病(IA)的传统微生物记录难以获得,血清真菌生物标志物是重要的辅助诊断工具。在高危血液学恶性肿瘤患者中研究了半乳甘露昔诺南诺(GM),1,3-β-D-葡聚糖(BDG)和曲霉菌DNA(PCR)的阳性速率和动力学谱。从93个成年血清学患者(N = 8),可能(n = 25)和NO(n = 60)IA的患者,来自93个成年血清试样(n = 240)的GM,BDG和PCR数据。估计每种真菌生物标志物和组合的阳性率和敏感性/阳性/阳性/阴性/阳性/阴性预测值(NPV)。将三个标记与头部到头部比较并与各种生物化学,人口统计和患者特征进行相关。对于GM(X2 = 55,P <0.001),PDG的62%/ 46%/ 35%,62%/ 46%/ 35%的患者的阳性率为88%/ 8%/ 0%(x2 = 2.5,p = 0.29),PCR 62%/ 33%/ 27%(X2 = 3.9,P = 0.15),GM + BDG的50%/ 4%/ 0%,50%/ 4%/ 0%(X2 = 31,P <0.001),50 BDG + PCR的%/ 8%/ 22%(X2 = 6.5,P = 0.038)和GM + BDG + PCR的38%/ 4%/ 0%(X2 = 21,P <0.001)。在GM指数和PCR CT值之间发现了更高的协议(76%)和负相关(Rs = -0.47,p = 0.0017)。当单独评估的生物标志物并在组合时,敏感性和NPV分别评估为75-90%和93-97%时,敏感性和NPV为45-55%和90-92%。在GM,PCR和BDG之间发现弱显着相关性与肾/肝功能标记(R = 0.11-0.57),其中大多数GM +和PCR +样品分别在临床评估的第一周和第二周中发现,并在后面的BDG上。发现三种生物标志物的不同积极性速率,时间谱和表演倡导GM与PCR用于早期诊断IA的诊断,而合并生物标志物的高NPV可以帮助排除IA。

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