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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:基于一种健康观点的氟喹啉耐药性估算因素:欧洲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:目的:抗菌性耐药性(AMR)已成为一种健康问题,其中氟喹诺酮抗性引起了极大的关注。本研究的目的是估算与人类和动物领域的专业人士和抗微生物消费(AMC)有关的氟喹诺酮抗性的因素。方法:建设了2005年至2016年欧洲的国家一级小组数据。通过大肠杆菌(大肠杆菌)和假单胞菌血清素(铜绿假单胞菌)耐氟喹啉含量测量依赖性变量。静态和动态面板数据模型都采用静态和动态面板数据模型来估计与阻力率相关的上述因素。结果:每10万人的医务人员数量和兽医专业人士的增加10%与P.的32.44%显着相关。铜绿菌酮的铜绿素和0.57%降低,对氟代喹啉(COEF。= -3.244,-0.057; p = 0.000,0.030,0.030)。人物AMC的10%增加与静态和动态模型中的氟喹啉酮的10.06%和8.04%增加到氟喹诺酮(COEF。= 1.006,0.804; p = 0.006,0.001)。兽医AMC的10%增加与氟代喹啉酮的P.铜绿素抗性率的1.65%降低有关(COEF。= -0.165,P = 0.019)。结论:医疗和兽医专业人员的增加分别与减少相关P.铜绿假单胞菌和大肠杆菌耐氟喹啉含量。人AMC的增加也与P.铜绿假单胞菌抗性率的增加有关,同时发现兽医AMC的增加与P.铜绿假单胞菌的抗性率降低有关。

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