神经网络优化超声波对铜绿假单胞杆菌灭菌参数及在慢性骨髓炎中的应用

代秀松; 张知理; 王晓盼; 陈笑天; 叶龙飞; 石彦

doi:10.13898/j.cnki.issn.1000-2200.2021.10.002

神经网络优化超声波对铜绿假单胞杆菌灭菌参数及在慢性骨髓炎中的应用

Optimization of ultrasonic sterilization parameters for Pseudomonas aeruginosa by neural network and its application in chronic osteomyelitis

摘要

摘要:
目的从抗菌效果方面探讨超声波在慢性骨髓炎中辅助治疗效果。
方法采用神经网络模型体外优化超声波灭菌参数，根据其优化的参数应用于兔股骨慢性骨髓炎模型的治疗，通过微生物感染数及Norden评分评价超声波治疗慢性骨髓炎效果。
结果通过神经网络模型拟合，发现在隐藏节点4情况下，拟合效果最佳，最终确定最佳参数：超声强度为40 W/cm³、超声频率为60 kHz及超声时间为15 min，其膜片菌落数约为20 cfu/cm³，灭菌效果最佳。此参数应用于兔股骨慢性骨髓炎模型的治疗，发现与抗生素阿奇霉素协同作用效果最佳，在微生物感染及Norden评分方面均取得较好效果。
结论超声波可通过抑菌作用辅助慢性骨髓炎的治疗，其与抗生素的协同作用效果最佳。

Abstract:
ObjectiveTo explore the effect of ultrasound in adjuvant treatment of chronic osteomyelitis from the aspect of antibacterial effect.
MethodsThe neural network model was used to optimize the ultrasonic sterilization parameters in vitro, and the optimized parameters were applied to treat rabbit femoral chronic osteomyelitis model.The number of microbial infection and the Norden score were used to evaluate the effect of ultrasound treatment on chronic osteomyelitis.
ResultsThrough fitting the neural network model, it was found that the fitting effect was the best in the case of hidden node 4, and the best parameters were as follows: 40 W/cm³ as the ultrasound intensity, 60 kHz as the ultrasound frequency, and 15 min as the ultrasound time, which resulted in the best sterilization effect.These parameters were applied to treat rabbit femoral chronic osteomyelitis model, and it was found that the antibiotic azithromycin had the best synergistic effect, which had good effects on microbial infection and Norden score.
ConclusionsUltrasound can assist the treatment of chronic osteomyelitis through bacteriostasis, and its synergistic effect with antibiotics has the best effect.

HTML全文

参考文献(14)

施引文献

资源附件(0)