URMITE, UM63, CNRS 7278, IRD 198, INSERM U1905, Institut Hospitalo-Universitaire Méditerranée Infection, Faculté de Médecine et de Pharmacie, Aix-Marseille Université, Marseille, France.
Clin Infect Dis. 2017 Aug 15;65(suppl_1):S58-S63. doi: 10.1093/cid/cix346.
Given the proliferation of cataclysmic predictions about antibiotic resistance, cases of which are estimated to amount to 12500 per year in France, we herein decided to compare the empirical clinical microbiology data from our institution with estimates and predictions from 10 major international scientific articles and reports. The analysis of 7 years of antibiotic resistance data from 10 bacterial species and genera of clinical interest from our institution identified no deaths that were directly attributable to extremely drug-resistant bacteria. By comparing our observations to the 10 articles and reports studied herein, we concluded that their results lack empirical data. Interventions are urgently needed to significantly reduce both mortality and the healthcare costs associated with bacterial infections, including the implementation of local and national laboratory data-based surveillance systems for the routine surveillance of antibiotic resistance that would be helpful for a better understanding of how to manage antibiotic-resistant bacteria in the future.
鉴于有关抗生素耐药性的灾难性预测层出不穷，据估计，法国每年此类病例达 12500 例，我们在此决定将我们机构的经验临床微生物学数据与 10 篇主要国际科学文章和报告中的估计和预测进行比较。对我们机构的 7 年临床相关细菌种属的抗生素耐药性数据进行分析后发现，没有因极耐药菌而直接导致的死亡病例。通过将我们的观察结果与本文研究的 10 篇文章和报告进行比较，我们得出结论，它们的结果缺乏经验数据。迫切需要采取干预措施，以显著降低死亡率和与细菌感染相关的医疗保健成本，包括实施基于当地和国家实验室数据的常规抗生素耐药性监测系统，这将有助于更好地了解如何管理未来的抗生素耐药菌。
