Infection and Drug Resistance (Mar 2024)

Reliability of Droplet Digital PCR Alone and in Combination with Interleukin-6 and Procalcitonin for Prognosis of Bloodstream Infection

  • Yin S,
  • Lin Y,
  • Wang B,
  • Peng Y,
  • Wang Z,
  • Zhu X,
  • Liang H,
  • Li X,
  • Wang M

Journal volume & issue
Vol. Volume 17
pp. 1051 – 1071

Abstract

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Sheng Yin,1 YingRui Lin,1 Bingqi Wang,1 Yizhi Peng,2 Zeyou Wang,1 Xiaolin Zhu,1 Hao Liang,1 Xianping Li,1 Min Wang1 1Department of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, People’s Republic of China; 2Department of Laboratory Medicine, Hunan Cancer Hospital, Central South University, Changsha, Hunan, 410031, People’s Republic of ChinaCorrespondence: Min Wang, Department of Laboratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, 410011, People’s Republic of China, Tel +86 13298697558, Email [email protected]: Bloodstream infection(BSI) is linked with high mortality, underscoring the significance of prompt etiological diagnosis for timely and precise treatment. This study aims to investigate the diagnostic value of droplet digital polymerase chain reaction(ddPCR) in combination with conventional inflammatory markers [interleukin-6(IL-6) and procalcitonin(PCT)] concerning disease progression and treatment prognosis in BSI patients. Furthermore, the study aims to explore a more efficient clinical application strategy.Patients and Methods: This prospective case seried study centers on 176 patients suspected of or confirmed with BSI. Blood samples were collected to extract nucleic acids for identifying pathogens (bacteria, fungi, and viruses) and determining copy loads via ddPCR.Results: The sensitivity of ddPCR was markedly higher compared to the culture method (74.71% vs 31.03%). A positive correlation existed between bacterial load and levels of inflammatory markers [IL-6 (P= 0.0182), PCT (P= 0.0029), and CRP (P= 0.0005)]. In suspected BSI cases, the combination of ddPCR and inflammatory markers could predict sepsis risk [ROC: Area under the curve(AUC)=0.6071, P= 0.0383]. Within confirmed BSI patients, the ddPCR bacterial load of those with SOFA< 7 was lower than that of the SOFA≥ 7 (P= 0.0334). ddPCR (OR: 1.789, P= 0.035) monitoring combined with PCT (OR: 1.787, P= 0.035) holded predictive value for SOFA progression (AUC=0.7913, P= 0.0003). Similarly, BSI survivors displayed a lower burden than non-survivors (P= 0.0170). Additionally, ddPCR combinated with IL-6 provided a more accurate and expedited insight into clinical outcomes prediction for BSI confirmed patients (AUC=0.7352, P= 0.0030). Serial monitoring of bacterial load by ddPCR effectively mirrored the clinical course of BSI in patients. Notably, patients with positive ddPCR virus infection exhibited significantly reduced lymphocyte counts (P= 0.0003).Conclusion: In a clinical context, qualitative ddPCR results and quantitative continuous monitoring can more precisely assess sepsis progression and treatment prognosis in BSI patients. Furthermore, ddPCR results offer quicker and more accurate reference points for clinical antibacterial and antiviral interventions.Keywords: bloodstream infection, droplet digital polymerase chain reaction, interleukin-6, procalcitonin, prognosis

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