Institut de Recerca Sant Joan de Déu, Hospital Sant Joan de Déu, Barcelona, Spain.
Network of Epidemiology and Public Health, CIBERESP, Madrid, Spain.
J Clin Microbiol. 2019 Jan 2;57(1). doi: 10.1128/JCM.01231-18. Print 2019 Jan.
This study aimed to validate a comprehensive diagnostic protocol based on real-time PCR for the rapid detection and identification of , , and , as well as its implementation in the diagnostic routine of a reference children's hospital. The new algorithm included a triplex quantitative PCR (qPCR) targeting IS gene (in , , and some strains), pIS (-specific) and P as the human internal control. Two confirmatory singleplex tests for (-Pr) and (hIS) were performed if IS was positive. Analytical validation included determination of linear range, linearity, efficiency, precision, sensitivity, and a reference panel with clinical samples. Once validated, the new algorithm was prospectively implemented in children with clinical suspicion of whooping cough presenting to Hospital Sant Joan de Deu (Barcelona, Spain) over 12 months. Lower limits of detection obtained were 4.4, 13.9, and 27.3 genomic equivalents/ml of sample for IS (on ), pIS and hIS, and 777.9 for -Pr. qPCR efficiencies ranged from 86.0% to 96.9%. Intra- and interassay variabilities were <3% and <5%, respectively. Among 566 samples analyzed, , , and were detected in 11.1%, 0.9% (only in females >4 years old), and 0.2% of samples, respectively. The new algorithm proved to be a useful microbiological diagnostic tool for whooping cough, demonstrating a low rate of other non- species in our surveilled area.
本研究旨在验证一种基于实时 PCR 的综合诊断方案,用于快速检测和鉴定 、 、 以及 ,并将其应用于参考儿童医院的诊断常规。新算法包括针对 IS 基因(在 、 以及一些 菌株中)、pIS(-特异性)和 P 的三重定量 PCR(qPCR)作为人类内参。如果 IS 阳性,则进行针对 (-Pr) 和 (hIS) 的双确认单重 PCR。分析验证包括确定线性范围、线性度、效率、精密度、灵敏度以及包含临床样本的参考面板。验证后,新算法在过去 12 个月中在因百日咳疑似而就诊于 Hospital Sant Joan de Deu(西班牙巴塞罗那)的儿童中进行了前瞻性实施。获得的检测下限分别为样本中 IS(在 )、pIS 和 hIS 的 4.4、13.9 和 27.3 基因组当量/ml,-Pr 的检测下限为 777.9。qPCR 效率范围为 86.0%至 96.9%。日内和日间变异性分别<3%和<5%。在分析的 566 个样本中,分别在 11.1%、0.9%(仅在>4 岁的女性中)和 0.2%的样本中检测到 、 、 。新算法被证明是一种有用的百日咳微生物学诊断工具,表明在我们监测的区域中其他非 物种的发生率较低。