Geographical differences of carbapenem non-susceptible Enterobacterales and Acinetobacter spp. in Germany from 2017 to 2019

Table 2 Multivariable analysis of type of hospital, hospital density and hospital size and notification incidence of notified hospitalised CRA (n = 2051) and CRE (n = 11,183) per district, Germany, 2017–2019

Variable	Notified cases	2017			2018			2019
Variable	Notified cases	IRR¹	[95% CI²]	p-value	IRR¹	[95% CI²]	p-value	IRR¹	[95% CI²]	p-value
Hospitals	CRA	1.030200	[1.009963–1.050842]	< 0.01	1.015363	[0.998942–1.032055]	0.07	1.019253	[1.002559–1.036226]	< 0.05
Hospitals	CRE	1.007100	[0.994128–1.020241]	0.29	1.008303	[0.995344–1.021430]	0.21	1.005281	[0.992819–1.017899]	0.41
University hospitals	CRA	1.237825	[0.853176–1.795890]	0.26	1.471903	[1.022384–2.119064]	< 0.05	1.368048	[0.967789–1.933846]	0.08
University hospitals	CRE	1.454999	[1.097646–1.928691]	< 0.05	1.401988	[1.058177–1.857505]	< 0.05	1.641121	[1.269523–2.121487]	< 0.01
Hospital beds	CRA	1.000168	[1.000076–1.000260]	< 0.01	1.000090	[1.000004–1.000176]	< 0.05	1.000113	[1.000033–1.000194]	< 0.01
Hospital beds	CRE	1.000040	[0.999976–1.000105]	0.22	1.000049	[0.999984–1.000113]	0.14	1.000039	[0.999977–1.000102]	0.22
University hospital beds	CRA	1.000047	[0.999773–1.000321]	0.74	1.000202	[0.999933–1.000471]	0.14	1.000126	[0.999873–1.000379]	0.33
University hospital beds	CRE	1.000247	[1.000048–1.000451]	< 0.05	1.000231	[1.000033–1.000428]	< 0.05	1.000310	[1.000124–1.000496]	< 0.01

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