Clinical Focus ›› 2025, Vol. 40 ›› Issue (9): 796-800.doi: 10.3969/j.issn.1004-583X.2025.09.004

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Application of multiplex RT-qPCR in pathogen detection for septic patients

Shen Jian, Yu Sheng, Gu Xiaolei, Xia Tian, Gong Ju()   

  1. Department of Emergency Medicine,Changshu No.2 People's Hospital,the Fifth Clinical Medical College of Yangzhou University,Changshu 215500,China
  • Received:2025-07-30 Online:2025-09-20 Published:2025-09-26
  • Contact: Gong Ju E-mail:44707879@qq.com

Abstract:

Objective To evaluate the clinical value of multiplex real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) for pathogen detection in septic patients.Methods A total of 74 septic patients (Sequential Organ Failure Assessment [SOFA]≥2) in the Department of Emergency Medicine of the Fifth Clinical Medical College of Yangzhou University and 74 healthy controls were enrolled from June 2024 to May 2025. Pathogens were detected by blood culture (BacT/ALERT® 3D), multiplex RT-qPCR (targeting 8 common pathogens), and parallel measurement of infection biomarkers (procalcitonin [PCT], C-reactive protein [CRP], interleukin 6 [IL-6]). Differences between groups were compared. Results The positivity rate of pathogens in septic patients detected by multiplex RT-qPCR was significantly higher than blood culture (89.19% vs 75.67%, P=0.027), with a reduced turnaround time ([5.42±0.32] hours vs [20.25±1.52] hours, P<0.01). Compared to blood culture, multiplex RT-qPCR showed a sensitivity of 96.4% and perfect concordance for positive cases detected by blood culture (κ=0.811). Both blood culture-positive and RT-qPCR-positive groups exhibited significantly elevated infection biomarkers (PCT, CRP, IL-6) compared to controls (P<0.01), but no significant differences were observed between these two groups ( P>0.05). Conclusion Multiplex RT-qPCR demonstrates superior sensitivity, rapidity, and multi-target capacity, serving as a robust adjunct for early etiological diagnosis of sepsis.

Key words: sepsis, multiplex RT-qPCR, blood culture, pathogen detection, infection biomarkers

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