目的:菌血症的发生对癌症患者的生存至关重要。因此,本研究旨在评估降钙素原(PCT)和降钙素原与白蛋白比值(PAR)在预测该人群菌血症中的疗效.方法:在这项回顾性测试阴性病例对照研究中,我们纳入了903名住院癌症患者,分为两组:菌血症阳性组(BSI组,n=384)和菌血症阴性组(非BSI组,n=519)。我们通过受试者工作特征(ROC)分析评估了PCT和PAR的诊断意义,并使用Youden指数确定了最佳临界值。结果:BSI组的住院时间和30天死亡率均显着较高。PAR和PCT的曲线下面积(AUC)分别为0.749(95%CI:0.715-0.782)和0.742(95%CI:0.708-0.776),分别,表明BSI组中的水平较高。预测菌血症的最佳临界值PAR为0.72,PCT为1.32。PAR表现出最高的特异性(92.7%)和阳性预测值(PPV=83.4%),而PCT表现出最高的敏感性(51.3%)和阴性预测值(NPV=71.6%)。讨论:这项研究是文献中首次提出PAR和PCT是诊断癌症患者菌血症的有价值的生物标志物。确定的临界值为菌血症诊断提供了实用的阈值。
UNASSIGNED: The occurrence of
bacteremia is critically important for the survival of cancer patients. Therefore, our study aims to evaluate the efficacy of procalcitonin (PCT) and the procalcitonin to albumin ratio (PAR) in predicting bacteremia among this population.
UNASSIGNED: In this retrospective test-negative
case-control study, we included 903 hospitalized cancer patients, divided into two groups: the bacteremia-positive group (BSI group, n = 384) and the
bacteremia-negative group (non-BSI group, n = 519). We assessed the diagnostic significance of PCT and PAR through receiver operating characteristic (ROC) analysis and determined the optimal cut-off values using Youden\'s index.
UNASSIGNED: Both the duration of hospital stay and the 30-day mortality rate were significantly higher in the BSI group. The areas under the curve (AUC) for PAR and PCT were 0.749 (95% CI: 0.715-0.782) and 0.742 (95% CI: 0.708-0.776), respectively, indicating higher levels in the BSI group. The optimal cut-off values for predicting
bacteremia were 0.72 for PAR and 1.32 for PCT. PAR showed the highest specificity (92.7%) and positive predictive value (PPV = 83.4%), while PCT demonstrated the highest sensitivity (51.3%) and negative predictive value (NPV = 71.6%).
UNASSIGNED: This study is the first in the literature to suggest that PAR and PCT are valuable biomarkers for diagnosing bacteremia in cancer patients. The identified cut-off values offer practical thresholds for
bacteremia diagnosis.