英格兰按年龄和性别分列的抗生素处方模式:为什么我们在评估抗生素管理和 AMR 选择时需要考虑这种差异?

Naomi R Waterlow, Tom Ashfield, Gwenan M Knight
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引用次数: 0

摘要

目标抗菌药耐药性(AMR)的驱动因素可能因人口结构的不同而有很大差异。然而,关于抗生素使用(ABU)如何因年龄和性别而异的完整、公开的全国性详细数据却寥寥无几。在此,我们在国家和综合护理委员会(ICB)层面分析了 2015-2023 年英格兰全科医生按 5 岁年龄段和性别开具的抗生素处方。在总共 249,578,795 份处方(跨越 9 年)中,63% 的处方给了女性,处方最多的是阿莫西林、硝基呋喃妥因和氟氯西林钠。每 10 万人口的处方量在性别、年龄、地理区域、季节、年份、COVID-19 大流行时期和药物方面存在很大差异。结果 大多数抗生素在大多数年龄段的处方中女性占多数(84%的抗生素在 50%的年龄段中女性处方占多数)。我们展示了这种差异如何要求采用更细致的方法来比较不同地区的 ABU,并强调了 AWaRe 目标并未统一实现(年轻男性的 Watch 抗生素处方比例更高)。我们还展示了时间敏感性中断对 ABU 的影响,包括针对不同年龄段的流感疫苗接种、COVID-19 限制以及阿莫西林短缺和甲型链球菌爆发。与开放存取的 AMR 数据(血流感染中的 MRSA)相比,ABU 与 AMR 之间的联系更加复杂。结论英格兰各地 ABU 的这些详细差异表明,不同年龄和性别的 AMR 负担应该存在很大差异,现在需要利用详细的开放式 AMR 数据对这些差异进行量化,以便更好地设计干预措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Antibiotic prescribing patterns by age and sex in England: why we need to take this variation into account to evaluate antibiotic stewardship and AMR selection
Objectives The drivers of antimicrobial resistance (AMR) likely vary substantially by different demographics. However, few complete open national detailed data exist on how antibiotic use (ABU) varies by both age and sex. Methods Here, prescriptions of antibiotics from General Practices in England for 2015-2023 disaggregated by 5-year age bands and sex were analysed at the national and Integrated Care Board (ICB) level. From a total of 249,578,795 prescriptions (across 9 years), 63% were given to women and the most prescribed were amoxicillin, nitrofurantoin and flucloxacillin sodium. Prescriptions per 100K population varied substantially across sex, age, geographical region, season, year, COVID-19 pandemic period and drug. Results Most antibiotics were prescribed more to women across most age bands (84% of antibiotics had more prescriptions to females across 50% of age bands). We show how this variation requires a more nuanced approach to comparing ABU across geographies and highlight that AWaRe targets are not met uniformly (young men have a higher proportion of Watch antibiotic prescriptions). We also show the impact on ABU of time-sensitive interruptions, including differential age-targeted influenza vaccination, COVID-19 restrictions and a shortage of amoxicillin combined with a Streptococcus A outbreak. Comparing to open access AMR data (MRSA in bloodstream infections) highlights the complexity of the link between ABU and AMR. Conclusions These detailed differences in ABU across England suggest that there should be large variation in AMR burden by age and sex, which now need to be quantified with detailed open access AMR data for a better intervention design.
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