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Table 3 Multivariable logistic regression model results estimating associations between explanatory variables and having 3GC-R E. coli BSIa

From: Increasing incidence and antimicrobial resistance in Escherichia coli bloodstream infections: a multinational population-based cohort study

Variable aOR 95% CI p-value
Region     < 0.001
 Finland 1.00 Referent  
 Calgary 3.25 2.94–3.59  < 0.001
 Canberra 1.87 1.52–2.31  < 0.001
 Sherbrooke 1.04 0.75–1.45 0.796
 Skaraborg 1.02 0.81–1.27 0.875
 Western interior 2.08 1.61–2.70  < 0.001
Year     < 0.001
 2014 1.00 Referent  
 2015 1.07 0.92–1.23 0.388
 2016 1.15 1.00–1.33 0.048
 2017 1.23 1.07–1.41 0.003
2018 1.31 1.15–1.50  < 0.001
Sex    
 Female 1.00 Referent  
 Male 1.83b 1.61–2.09  < 0.001
Age category    
 < 70-years-old 1.00 Referent  
 ≥ 70-years-old 1.05b 0.93–1.19 0.420
Interaction—sex and age    
 Male and ≥ 70 0.84b 0.71–0.999 0.048
  1. 3GC-R Third-generation cephalosporin-resistant; BSI Bloodstream infection; aOR Adjusted odds ratio; CI Confidence interval
  2. aModel fit the data based on non-significant Pearson goodness-of-fit test (p = 0.072)
  3. bExponentiated coefficients are not true aOR due to interaction term—see contrasts in Table 4