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Estimating Factors Related to Fluoroquinolone Resistance Based on One Health Perspective: Static and Dynamic Panel Data Analyses From Europe

机译:基于一种健康的角度估算与氟喹诺酮耐药性相关的因素:来自欧洲的静态和动态面板数据分析

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摘要

>Objectives: Antimicrobial resistance (AMR) has become >a One Health problem in which fluoroquinolone resistance has caused great concern. The aim of this study is to estimate factors related to fluoroquinolone resistance involving the professionals and antimicrobial consumption (AMC) in human and animal fields.>Methods: A country-level panel data set in Europe from 2005 to 2016 was constructed. The dependent variables were measured by >Escherichia coli (>E. coli) and >Pseudomonasaeruginosa (>P. aeruginosa) resistance rates to fluoroquinolones. Both the static and dynamic panel data models were employed to estimate the above factors associated with the resistance rates.>Results: The 10% increase in the number of medical staff and veterinary professionals per 100,000 population were significantly correlated with the 32.44% decrease of >P. aeruginosa and 0.57% decrease of >E. coli resistance rates to fluoroquinolones (Coef. = −3.244, −0.057; p = 0.000, 0.030, respectively). The 10% increase in the human AMC was correlated with 10.06% and 8.04% increase of >P. aeruginosa resistance rates to fluoroquinolones in static and dynamic models (Coef. = 1.006, 0.804; p = 0.006, 0.001, respectively). The 10% increase in veterinary AMC was related to a 1.65% decrease of >P. aeruginosa resistance rates to fluoroquinolones (Coef. = −0.165, p = 0.019).>Conclusions: The increases in medical and veterinary professionals are respectively associated with the decrease of P. aeruginosa and E. coli resistance rates to fluoroquinolones. The increase in human AMC is also associated with increase of P. aeruginosa resistance rates, while the increase in veterinary AMC was found to be associated with a decrease in resistance rate for P. aeruginosa.
机译:>目标:抗菌素耐药性已成为一个健康问题,其中氟喹诺酮耐药性引起了广泛关注。这项研究的目的是评估与氟喹诺酮耐药有关的因素,涉及人类和动物领域的专业人员和抗菌药物消费。>方法: 2005年至2016年欧洲国家/地区面板数据集建造了。通过>大肠杆菌(>大肠杆菌)和>铜绿假单胞菌(>铜绿假单胞菌)耐药率来测量因变量氟喹诺酮类药物。使用静态和动态面板数据模型来估计与耐药率相关的上述因素。>结果:每100,000人口中医务人员和兽医专业人员人数增加10%与> P降低了32.44%。铜绿和> E下降0.57%。大肠杆菌对氟喹诺酮类药物的耐药率(系数分别为-3.244,-0.057; p = 0.000、0.030)。人AMC增加10%与> P增加10.06%和8.04%相关。铜绿假单胞菌在静态和动态模型中对氟喹诺酮类药物的耐药率(Coef。= 1.006,0.804; p = 0.006,0.001)。兽医AMC增加10%与> P降低1.65%有关。铜绿假单胞菌对氟喹诺酮类药物的耐药率(Coef。= -0.165,p = 0.019)。>结论:医疗和兽医专业人员的增加分别与铜绿假单胞菌和E.的减少有关。大肠杆菌对氟喹诺酮类药物的耐药率。人AMC的增加还与铜绿假单胞菌的耐药率增加有关,而兽医用AMC的增加与铜绿假单胞菌的耐药率下降有关。

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