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

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

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	1.83^b	1.61–2.09	< 0.001
Age category
< 70-years-old	1.00	Referent
≥ 70-years-old	1.05^b	0.93–1.19	0.420
Interaction—sex and age
Male and ≥ 70	0.84^b	0.71–0.999	0.048

3GC-R Third-generation cephalosporin-resistant; BSI Bloodstream infection; aOR Adjusted odds ratio; CI Confidence interval
^aModel fit the data based on non-significant Pearson goodness-of-fit test (p = 0.072)
^bExponentiated coefficients are not true aOR due to interaction term—see contrasts in Table 4

ISSN: 2047-2994