抗生素消费与耐药性之间的关系:系统回顾

Asrat Agalu Abejew, Gizachew Yismaw Wubetu, Teferi Gedif Fenta
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引用次数: 0

摘要

背景。毫无保留地使用抗生素会对易感细菌产生选择性压力,导致耐药菌株的存活。尽管如此,抗生素耐药性(ABR)与抗生素消耗量(ABC)之间的关系却鲜有研究。本系统综述旨在回顾 2016 年至 2022 年 ABC 与 ABR 之间的关系。方法。检索时间为 2022 年 12 月 23 日至 31 日,共检索了 7 年内(2016-2022 年)发表的文章。通过使用 ABC 和 ABR 的关键词制定了检索策略。从 3367 篇文章中筛选出 58 篇符合条件的文章纳入最终审查。结果。根据世界卫生组织的 AWaRe 分类,汇总的 ABC 为 948017.9 DPDs 和 4108.6 DIDs,其中超过 70% 的抗生素属于观察和储备类别。ABR 的平均集中流行率为 38.4%。粪肠球菌(59.4%)、鲍曼不动杆菌(52.6%)和铜绿假单胞菌(48.6%)是最常见的耐抗生素细菌。头孢菌素类(76.8%)、青霉素类(58.3%)和氨基糖苷类(52%)是 ABR 常见的抗生素。ABR 与消耗量呈正相关的抗生素有 311 种(81%)。ABR 铜绿假单胞菌与 ABC 之间的相关性占 87(22.7%),其次是 ABR 大肠杆菌与 ABC 之间的相关性占 78(20.3%),肺炎双球菌与 ABC 之间的相关性占 77(20.1%)。使用碳青霉烯类和氟喹诺酮类药物与铜绿假单胞菌、肺炎双球菌、大肠埃希菌和鲍曼不动杆菌的耐药率最为相关。结论ABC 与 ABR 率之间存在正相关。综述还显示,使用不同抗生素与 ABR 之间存在交叉耐药性。优化抗生素治疗和减少不必要的 ABC 可防止 ABR 的出现和传播。因此,倡导实施管理计划在遏制 ABR 方面发挥着关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Relationship between Antibiotic Consumption and Resistance: A Systematic Review
Background. Unreserved use of antibiotics exerted selective pressure on susceptible bacteria, resulting in the survival of resistant strains. Despite this, the relationship between antibiotic resistance (ABR) and antibiotic consumption (ABC) is rarely studied. This systematic review aims to review the relationship between ABC and ABR from 2016 to 2022. Methods. Articles published over 7 years (2016–2022) were searched from December 23 to 31, 2022. The search strategy was developed by using keywords for ABC and ABR. From 3367 articles, 58 eligible articles were included in the final review. Results. The pooled ABC was 948017.9 DPDs and 4108.6 DIDs where over 70% of antibiotics were from the Watch and Reserve category based on the WHO AWaRe classification. The average pooled prevalence of ABR was 38.4%. Enterococcus faecium (59.4%), A. baumannii (52.6%), and P. aeruginosa (48.6%) were the most common antibiotic-resistant bacteria. Cephalosporins (76.8%), penicillin (58.3%), and aminoglycosides (52%) were commonly involved antibiotics in ABR. The positive correlation between ABR and consumption accounted for 311 (81%). The correlation between ABR P. aeruginosa and ABC accounted for 87 (22.7%), followed by 78 (20.3%) and 77 (20.1%) for ABR E. coli and K. pneumoniae with ABCs, respectively. Consumption of carbapenems and fluoroquinolones was most commonly correlated with resistance rates of P. aeruginosa, K. pneumoniae, E. coli, and A. baumannii. Conclusion. There is a positive correlation between ABC and the rate of ABR. The review also revealed a cross-resistance between the consumption of different antibiotics and ABR. Optimizing antibiotic therapy and reducing unnecessary ABC will prevent the emergence and spread of ABR. Thus, advocating the implementation of stewardship programs plays a pivotal role in containing ABR.
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