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. Author manuscript; available in PMC: 2022 Sep 20.
Published in final edited form as: J Glob Antimicrob Resist. 2022 Jun 25;30:222–227. doi: 10.1016/j.jgar.2022.06.019

Table 3.

Multivariable model of predictors of the rate of CRE in the Greater Houston region, Texas, 2015–2020

Factors Adjusted rate ratio 95% CI Adjusted P value
Race/Ethnicity
Asian 1.0 1
Black 1.22 1.05–1.42 0.011
White 1.23 1.05–1.43 0.008
Hispanic 1.06 0.89–1.25 0.525
Other or mixed 0.99 0.80–1.23 0.949
Unknown 1.07 0.90–1.27 0.429
Carbapenemase production
Carbapenemase positive 1.19 1.07–1.32 0.002
Carbapenemase unknown 1.61 1.48–1.75 < 0.001
Carbapenemase negative 1.0 1
Case reported from
Acute care hospital 1.16 1.04–1.30 0.008
Long-term acute 1.16 1.04–1.30 0.008
Long-term care facility 1.0 1.00–1.00 0.000
Home healthcare 1.01 0.80–1.27 0.902
Outpatient clinic 1.0 1
Case admitted from
Acute care hospital 0.91 0.80–1.04 0.166
Long-term acute 0.93 0.81–1.08 0.347
Long-term care facilities 1.0 1.00–1.00 0.000
Home or home healthcare 1.0 1
Indwelling medical devices (yes vs. no) 0.85 0.79–0.92 < 0.001
Underlying illness or chronic disease (yes vs. no or unknown) 1.15 0.98–1.17 0.140

NOTE: The model was based on the GEE method and used to account for within-subject measures using an exchangeable correlation structure with the negative binomial distribution assumption.