McDonnell Lucy, Ashworth Mark, Schofield Peter, Durbaba Stevo, Redmond Patrick
Department of Population Health, King's College London, London, UK
Department of Population Health, King's College London, London, UK.
BJGP Open. 2025 Apr 24;9(1). doi: 10.3399/BJGPO.2023.0248. Print 2025 Apr.
Antibiotic overuse is associated with antimicrobial resistance (AMR). It is unclear whether community AMR is driven by overall antibiotic use or by high levels of repeated (intense) use by individual patients.
To determine the association between high antibiotic prescribing intensity (all antibiotic prescriptions; any indication), and rates of urinary tract infection (UTI) resistance among patients within small communities.
DESIGN & SETTING: Repeated cross-sectional ecological analysis of geographical areas (population averaging 1500) from 2012-2015 using anonymised primary care data and urine cultures.
For each area, we compared the percentage of patients prescribed antibiotics who received≥5 prescriptions over 3 years or≥4 prescriptions over 1 year, with subsequent or same year UTI resistance rates. We also compared Average Daily Quantities (ADQ) of all antibiotics prescribed, with UTI resistance rates, per year, per area. Results were adjusted for covariates and analysed at area level using mixed effects logistic regression.
Of 196 513 patients prescribed antibiotics in 69 areas, 16% were prescribed intensively (≥5 prescriptions in 3 years), receiving almost 30% of prescriptions. Of 12 308 confirmed UTI specimens (80% ), 65% were resistant to at least one antibiotic (amoxicillin; cefalexin; ciprofloxacin; trimethoprim; nitrofurantoin). We found no significant association between high intensity 'any' antibiotic prescribing (same year or 2 preceding years) or overall 'any' antibiotic prescribing (same year) and UTI resistance.
We found no relationship between concurrent high intensity 'any' antibiotic prescribing, and UTI resistance rates in small urban communities, pre-COVID-19. Individual patient use of multiple antibiotics, even at high intensity, may not be an independent risk factor for community UTI resistance.
抗生素的过度使用与抗菌药物耐药性(AMR)相关。尚不清楚社区抗菌药物耐药性是由总体抗生素使用情况还是由个体患者的高频率(高强度)重复使用所驱动。
确定小社区内患者的高抗生素处方强度(所有抗生素处方;任何适应症)与尿路感染(UTI)耐药率之间的关联。
利用匿名的初级保健数据和尿培养结果,对2012 - 2015年地理区域(平均人口1500)进行重复横断面生态分析。
对于每个区域,我们将在3年内接受≥5张处方或在1年内接受≥4张处方的抗生素处方患者百分比,与随后或同年的UTI耐药率进行比较。我们还将每年每个区域所有开具的抗生素的平均日剂量(ADQ)与UTI耐药率进行比较。结果针对协变量进行了调整,并使用混合效应逻辑回归在区域层面进行分析。
在69个区域的196513名开具抗生素处方的患者中,16%的患者接受了高强度处方(3年内≥5张处方),这些患者接受了近30%的处方。在12308份确诊的UTI标本中(80%),65%对至少一种抗生素(阿莫西林;头孢氨苄;环丙沙星;甲氧苄啶;呋喃妥因)耐药。我们发现高强度“任何”抗生素处方(同年或前两年)或总体“任何”抗生素处方(同年)与UTI耐药之间无显著关联。
我们发现在2019年新冠疫情之前,小城市社区中同时出现的高强度“任何”抗生素处方与UTI耐药率之间没有关系。个体患者即使高强度使用多种抗生素,可能也不是社区UTI耐药的独立危险因素。