Estimating Factors Related to Fluoroquinolone Resistance Based on One Health Perspective: Static and Dynamic Panel Data Analyses From Europe
Estimating Factors Related to Fluoroquinolone Resistance Based on One Health Perspective: Static and Dynamic Panel Data Analyses From Europe
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DOI：
10.3389/fphar.2019.01145
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发表时间：
2019-10-03
影响因子：
5.6
通讯作者：
Zhang, Xinping
中科院分区：
文献类型：
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作者：
Zhang, Dandan;Cui, Youwen;Zhang, Xinping
目的：抗菌药物耐药性（AMR）已成为一个健康问题，其中氟喹诺酮类药物耐药性引起了人们的高度关注。本研究的目的是估计与氟喹诺酮类药物耐药性相关的因素，包括专业人员和人类和动物领域的抗菌药物消费量（AMC）。方法：构建了2005年至2016年欧洲国家级面板数据集。因变量采用大肠杆菌（Escherichia coli，E.大肠杆菌）和铜绿假单胞菌（铜绿假单胞菌）对氟喹诺酮类药物的耐药率。结果：每10万人口中医务人员和兽医专业人员数增加10%，铜绿假单胞菌和大肠埃希菌的耐药率分别下降32.44%和0.57%;大肠杆菌对氟喹诺酮类药物的耐药率（Coef. =-3.244，-0.057; p = 0.000，0.030）。在静态和动态模型中，人AMC增加10%与铜绿假单胞菌对氟喹诺酮类的耐药率增加10.06%和8.04%相关（Coef. = 1.006，0.804; p = 0.006，0.001）。兽医AMC增加10%与铜绿假单胞菌对氟喹诺酮类的耐药率降低1.65%有关（Coef.结论：医务人员和兽医人员的增加分别与铜绿假单胞菌和大肠埃希菌的减少有关。大肠埃希菌对氟喹诺酮类药物的耐药率。人AMC的增加也与铜绿假单胞菌耐药率的增加相关，而兽医AMC的增加与铜绿假单胞菌耐药率的降低相关。
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 Pseudomonas aeruginosa (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.