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  • 标题:Effect of multidimensional intervention to reduce surgical site infection rate after knee and hip arthroplasty
  • 本地全文:下载
  • 作者:Samar Saeed Morsi ; Abeer Omar ; Gautam Hebbar
  • 期刊名称:Germs
  • 印刷版ISSN:2248-2997
  • 出版年度:2021
  • 卷号:11
  • 期号:1
  • 页码:10-22
  • DOI:10.18683/germs.2021.1236
  • 语种:English
  • 出版社:European HIV/AIDS and Infectious Diseases Academy
  • 摘要:Introduction Prevention strategies are critical to reduce infection rates in joint arthroplasty. This study aimed to investigate the effectiveness of a set of evidence-based practices to reduce surgical site infection (SSI) rates after knee and hip arthroplasty (HPRO & KPRO).Methods A quasi-experimental study design (comparing pre- and post-intervention phases) was applied. Interventions were selected, adapted, and implemented in knee and hip arthroplasty procedures as a prospective practice. They consisted of 13 processes throughout the surgical encounter, including preoperative, intraoperative, and postoperative elements.Results Regarding hip arthroplasty procedures, the overall SSI rate during the pre-intervention period was 11.9%, which was reduced significantly to 5.1% (57% reduction) in the intervention period (p=0.042). For knee arthroplasty procedures, the overall baseline SSI rate during the pre-intervention period was 2.7%, which was reduced to 2.0% (26% reduction) in the intervention period. However, this reduction was not statistically significant (p=0.561). Combined methicillin-resistant Staphylococcus aureus (MRSA) screening with appropriate decolonization and targeted prophylaxis were associated with a 50% reduction in SSI caused by MRSA in knee arthroplasty.Conclusions The implementation of multidimensional evidence-based practices was associated with a reduction in SSI following knee and hip arthroplasties.
  • 关键词:Deep learning;recurrent neural networks;gated recurrent unit;video classification;convolutional neural network;behavior modelling;activity recognition
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