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Linear regression equations to predict β-lactam, macrolide, lincosamide and fluoroquinolone minimum inhibitory concentrations from molecular antimicrobial resistance determinants in Streptococcus pneumoniae
Antimicrobial Agents and Chemotherapy ( IF 4.9 ) Pub Date : 2021-10-18 , DOI: 10.1128/aac.01370-21
Walter Demczuk 1 , Irene Martin 1 , Averil Griffith 1 , Brigitte Lefebvre 2 , Allison McGeer 3 , Gregory J Tyrrell 4 , George G Zhanel 5 , Julianne V Kus 6, 7 , Linda Hoang 8 , Jessica Minion 9 , Paul Van Caeseele 10 , Rita Raafat Gad 11 , David Haldane 12 , George Zahariadis 13 , Kristen Mead 14 , Laura Steven 15 , Lori Strudwick 16 , Michael R Mulvey 1
Affiliation  

Antimicrobial resistance in Streptococcus pneumoniae represents a threat to public health and monitoring the dissemination of resistant strains is essential to guiding health policy. Multiple-variable linear regression modeling was used to determine the ...

中文翻译:

从肺炎链球菌的分子抗菌素耐药性决定因素预测β-内酰胺、大环内酯、林可酰胺和氟喹诺酮最低抑制浓度的线性回归方程

肺炎链球菌的抗菌素耐药性对公众健康构成威胁,监测耐药菌株的传播对于指导卫生政策至关重要。多变量线性回归模型用于确定...
更新日期:2021-10-20
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