通过使用向的NGS来检测周围假肢关节感染的临床算法
Ander Uribarri1, Lucia Henriquez1, Iñaki Beguiristain1
1Navarre Hospital Complex, Clinical Microbiology Department, Spain; Instituto de Investigación Sanitaria de Navarra (IdiSNA), Spain.
Diagnostic microbiology and infectious disease
|October 10, 2025
概括
这项研究建立了使用目标下一代测序 (tNGS) 诊断周围假肢关节感染 (PJI) 的标准标准. 开发的标准具有很高的准确性,提供了一种可靠的方法来识别PJI,即使在培养负的情况下.
科学领域:
- 医学微生物学 医学微生物学
- 基因组学就是基因组学.
- 传染性疾病 传染性疾病
背景情况:
- 周围假肢关节感染 (PJI) 是具有诊断挑战的严重并发症,特别是在微生物学上负面的病例中.
- 基因组下一代测序 (mNGS) 显示了PJI诊断的希望.
研究的目的:
- 通过序列分析建立客观,广泛可用的方法和标准来诊断PJI.
- 评估针对PJI的下一代测序 (tNGS) 的诊断疗效.
主要方法:
- 追溯分析34名PJI患者的超声波液样本.
- 基于16S rRNA的向NGS (tNGS) 具有25和35个放大周期.
- 使用nf-core/ampliseq进行数据处理,并创建负控数据库.
主要成果:
- 在PJI案例中,可分类读数显著更高 (p < 0.0001).
- 通过25个放大周期 (AUC = 0.924,p < 0.0001) 达到最佳的诊断疗效.
- 建立的标准产生了100%的灵敏度和90.5%的特异性,截止值>12%.
结论:
- 这项研究是为数不多的尝试之一,旨在标准化PJI tNGS数据分析的标准和诊断截止值.
- 开发的标准和切断值可以作为未来PJI元基因组学诊断研究的宝贵参考.
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