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. 2020 Oct 27;9:e54795. doi: 10.7554/eLife.54795

Table 3. Associations between the consumption volume of 11 antibiotics and the cumulative incidence of 3GC- and/or carbapenem-resistant infections in 357 wards.

Predicted percent change in incidence (95% CI) per doubling of consumption volume
Antibiotics 3GCR incidence model CR incidence model 3GCR or CR incidence model
TZP 5.9 (2.9, 9.0) 10.3 (5.0, 16.0) 6.1 (3.1, 9.2)
CTX/CRO 4.8 (1.5, 8.2) 1.8 (-3.7, 7.6) 4.6 (1.4, 8.0)
AMX 2.7 (-1.5, 7.0) 3.6 (-3.4, 11.2) 2.7 (-1.4, 7.0)
CTZ/FEP 1.7 (-1.0, 4.5) 3.3 (-1.5, 8.3) 1.6 (-1.1, 4.4)
IPM/MEM 1.4 (-1.8, 4.7) 5.1 (-0.6, 11.1) 1.5 (-1.6, 4.8)
FQ 0.5 (-1.9, 2.9) −1.2 (-5.2, 3.0) 0.4 (-1.9, 2.8)
OXA −0.6 (-2.2, 1.1) −2.0 (-4.6, 0.7) −0.6 (-2.2, 1.0)
AMIN −1.7 (-4.3, 0.9) −1.1 (-5.4, 3.6) −1.7 (-4.3, 0.9)
VAN/TEC −2.3 (-4.9, 0.4) −3.8 (-8.3, 0.9) −2.3 (-4.9, 0.5)
1GC/2GC −2.1 (-4.0,–0.2) −2.3 (-5.4, 1.0) −2.1 (-4.0,–0.3)
AMC −4.1 (-7.0,–1.1) −5.8 (-10.6,–0.7) −4.1 (-7.0,–1.1)

NOTE. a Percent change was estimated from multivariable quasi-Poisson regression models that included the connectivity and the incidence control covariates (see Materials and methods). 3GCR, 3rd-generation cephalosporins-resistant infections; CR, carbapenem-resistant infections. Acronyms of antibiotics are listed in Table 2.