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[细菌耐药性与抗菌药物消费之间的关联]

[Association between bacterial resistance and antimicrobial consumption].

作者信息

Chaouch Cherifa, Hassairi Amel, Riba Mounira, Boujaafar Noureddine

机构信息

Service de microbiologie, Centre hospitalo-universitaire Sahloul, Sousse, Tunisie.

Service de pharmacie, Centre hospitalo-universitaire Sahloul, Sousse, Tunisie.

出版信息

Ann Biol Clin (Paris). 2014 Sep-Oct;72(5):555-60. doi: 10.1684/abc.2014.0981.

Abstract

UNLABELLED

The evolution of multidrug resistance remains an alarming topic due to selection pressure related to the inappropriate use of antibiotics.

OBJECTIVES

Our work is in this perspective and focuses on the evolution of the consumption of antibiotics active on gram-negative bacilli, and the evolution of bacterial resistance.

MATERIALS AND METHODS

International indicator of antibiotic consumption was based on the method of Defined Daily Dose reported to the number of days of hospitalization. The search for a correlation between bacterial resistance and antibiotic consumption was conducted by the Spearman test.

RESULTS

A statistically significant correlation was identified between the rates of enterobacteriaceae resistant to 3(rd) generation cephalosporin, particularly those secreting beta-lactamases with extended spectrum, and consumption of 3(rd) generation cephalosporin (p= 0.002) and imipenem (p= 0.04). Also, a statistically significant relationship between the multi-resistant bacteria and the rate of consumption of colistin (p= 0.041) and fluoroquinolones (p= 0.002) was also reported in this study.

CONCLUSION

Monitoring of both evolution of multidrug resistance and the use of antibiotics helps us to better understand the situation and establish more efficient antibiotic protocols.

摘要

未标注

由于与抗生素使用不当相关的选择压力,多重耐药性的演变仍然是一个令人担忧的话题。

目的

我们的工作正是基于这一观点,重点关注对革兰氏阴性杆菌有效的抗生素的使用演变以及细菌耐药性的演变。

材料与方法

抗生素消费的国际指标基于每住院天数的限定日剂量方法。通过Spearman检验寻找细菌耐药性与抗生素消费之间的相关性。

结果

对第三代头孢菌素耐药的肠杆菌科细菌的比率,特别是那些分泌超广谱β-内酰胺酶的细菌,与第三代头孢菌素(p = 0.002)和亚胺培南(p = 0.04)的使用之间存在统计学上的显著相关性。此外,本研究还报告了多重耐药菌与黏菌素(p = 0.041)和氟喹诺酮类药物(p = 0.002)的使用比率之间存在统计学上的显著关系。

结论

监测多重耐药性的演变和抗生素的使用有助于我们更好地了解情况并制定更有效的抗生素方案。

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