Yang Jianye, Qin Leilei, Zhao Chen, Wang Hai, Chen Cheng, Zhang Tao, Zhu Bo, Wei Li, Su Xudong, Li Yujian, Hu Ning, Huang Wei
Department of Orthopedics, The First Affiliated Hospital of Chongqing Medical University.
Orthopedic Laboratory of Chongqing Medical University.
Int J Surg. 2025 Jan 1;111(1):1591-1595. doi: 10.1097/JS9.0000000000002067.
Preoperative diagnosis of periprosthetic joint infection (PJI) is critical to guide treatment options and improve patient outcomes. In this letter, the authors discuss results from our experiences with a novel nomogram diagnosis model based on serum and synovial fluid indicators for the preoperative diagnosis of PJI. The results showed that the novel nomogram diagnosis model can distinguish PJI from aseptic loosening before the operation. And it is also a useful candidate for the selection of the timing of current secondary revision.
人工关节周围感染(PJI)的术前诊断对于指导治疗方案和改善患者预后至关重要。在这封信中,作者讨论了我们基于血清和滑液指标的新型列线图诊断模型用于PJI术前诊断的经验结果。结果表明,新型列线图诊断模型能够在术前将PJI与无菌性松动区分开来。并且它也是当前二期翻修手术时机选择的一个有用候选方法。