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Table 1 Multivariable negative binomial regression model results estimating associations between explanatory variables and E. coli BSI ratesa,b

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

Variable

aIRR

95% CI

p-value

Region

  

 < 0.001

 Finland

1.00

Referent

 

 Calgary

0.71

0.65–0.77

 < 0.001

 Canberra

0.71

0.65–0.79

 < 0.001

 Sherbrooke

0.86

0.77–0.96

 < 0.001

 Skaraborg

1.05

0.96–1.15

0.312

 Western interior

0.73

0.65–0.82

 < 0.001

Sex

   

 Female

1.00

Referent

 

 Male

0.74c

0.67–0.80

 < 0.001

Age category

   

 < 70-years-old

1.00

Referent

 

 ≥ 70-years-old

9.37c

8.63–10.19

 < 0.001

Interaction—sex and age

  

 Male and ≥ 70

1.39c

1.23–1.57

 < 0.001

  1. BSI Bloodstream infection; aIRR Adjusted incidence rate ratio; CI Confidence interval
  2. aOverdispersion parameter 0.014, 95% CI:0.008–0.025, p < 0.001
  3. bModel fit the data based on normally distributed Anscombe residuals and non-significant deviance goodness-of-fit test (p = 0.24)
  4. cExponentiated coefficients are not true aOR due to interaction term—see contrasts in Table 2