Nishikawa Hirokazu, Shirano Michinori, Kasamatsu Yu, Morimura Ayumi, Iida Ko, Kishi Tomomi, Goto Tetsushi, Okamoto Saki, Ehara Eiji
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Clin Chem Lab Med. 2017 Jun 27;55(7):1043-1052. doi: 10.1515/cclm-2016-0705.
The detection of infectious bacteria in blood culture samples is important for diagnosis and treatment, but this requires 1-2 days at least, and is not adequate as a rapid test. Therefore, we have investigated the diagnostic ability and the optimal cutoff value of procalcitonin (PCT) and C-reactive protein (CRP) for predicting the bacteremias using receiver operating characteristic (ROC) curves and relative cumulative frequency distribution (RCD) curves.
A case-control study was performed in inpatients (852 subjects: 426 positive cultures and 426 negative cultures) from January 1 to December 31, 2014. We retrospectively investigated their blood culture and blood chemistry findings recorded in this period using electronic medical records.
Area under the ROC curve of PCT and CRP were 0.79 and 0.66, respectively. The optimal cutoff values were 0.5 μg/L with a sensitivity of 70% and specificity of 70% for PCT and 50.0 mg/L with a sensitivity of 63% and specificity of 65% for CRP. When the optimal cutoff value was treated as a reference, the odds ratio (OR) was 71.11 and the hazard ratio (HR) was 6.27 for PCT >2.0 μg/L, and the risk of blood culture positivity was markedly elevated. PCT levels were significantly higher in the population with Gram-negative rod (GNR) infections than in the population with Gram-positive coccal (GPC) infections.
The elevation of CRP and PCT were significantly associated with bacteremias. PCT was superior to CRP as a diagnostic indicator for predicting bacteremias, for discriminating bacterial from nonbacterial infections, and for determining bacterial species.
在血培养样本中检测感染性细菌对诊断和治疗很重要,但这至少需要1 - 2天,作为快速检测并不充分。因此,我们使用受试者工作特征(ROC)曲线和相对累积频率分布(RCD)曲线,研究了降钙素原(PCT)和C反应蛋白(CRP)在预测菌血症方面的诊断能力及最佳临界值。
于2014年1月1日至12月31日对住院患者(852名受试者:426例血培养阳性和426例血培养阴性)进行了病例对照研究。我们使用电子病历回顾性调查了这一时期记录的他们的血培养和血液化学检查结果。
PCT和CRP的ROC曲线下面积分别为0.79和0.66。PCT的最佳临界值为0.5μg/L,敏感性为70%,特异性为70%;CRP的最佳临界值为50.0mg/L,敏感性为63%,特异性为65%。当将最佳临界值作为参考时,PCT>2.0μg/L的比值比(OR)为71.11,风险比(HR)为6.27,血培养阳性风险显著升高。革兰氏阴性杆菌(GNR)感染人群的PCT水平显著高于革兰氏阳性球菌(GPC)感染人群。
CRP和PCT的升高与菌血症显著相关。PCT作为预测菌血症、区分细菌感染与非细菌感染以及确定细菌种类的诊断指标优于CRP。