Table 3.

Multivariable Modeling Analysis for Predictors of High Community- and Healthcare-Associated Clostridium difficile Infection (CDI) Incidence, 2010

Community-Associated CDI Multivariable Modela
PredictorCategoryIncidence Rate Ratiob95% CIP

Age1–171.00 (reference)
18–441.721.38–2.14<.0001
45–643.422.77–4.24<.0001
≥657.175.76–8.94<.0001
SexMale1.00 (reference)
Female1.411.23–1.61<.0001
RaceNon-white1.00 (reference)
White1.451.21–1.75<.0001
TestNAAT use by 10% increase1.111.06–1.16<.0001
Healthcare-Associated CDI Multivariable Modelc
PredictorCategoryIncidence Rate Ratiod95% CIP
Age1–171.00 (reference)
18–442.672.01–3.54<.0001
45–6411.238.54–14.76<.0001
≥6568.7952.56–90.03<.0001
Inpatient-daysIncrease in 10 000 inpatient-days per hospital1.101.01–1.20.02
TestNAAT use by 10% increase1.06.99–1.14.13
Community-Associated CDI Multivariable Modela
PredictorCategoryIncidence Rate Ratiob95% CIP

Age1–171.00 (reference)
18–441.721.38–2.14<.0001
45–643.422.77–4.24<.0001
≥657.175.76–8.94<.0001
SexMale1.00 (reference)
Female1.411.23–1.61<.0001
RaceNon-white1.00 (reference)
White1.451.21–1.75<.0001
TestNAAT use by 10% increase1.111.06–1.16<.0001
Healthcare-Associated CDI Multivariable Modelc
PredictorCategoryIncidence Rate Ratiod95% CIP
Age1–171.00 (reference)
18–442.672.01–3.54<.0001
45–6411.238.54–14.76<.0001
≥6568.7952.56–90.03<.0001
Inpatient-daysIncrease in 10 000 inpatient-days per hospital1.101.01–1.20.02
TestNAAT use by 10% increase1.06.99–1.14.13

Abbreviations: CI, confidence interval; NAAT, nucleic acid amplification test.

a Candidate variables included in the model: age, sex, race, NAAT usage, percentage of urban population, percentage of 18–64 years without health insurance, and average number of outpatient visits per hospital in each surveillance site.

b Adjusted for the factors that remained in the final model (age, sex, race, test).

c Candidate variables included in the model: age, sex, race, NAAT usage, average number of inpatient-days per hospital, and average number of nursing home patients in each surveillance site.

d Adjusted for the factors that remained in the final model (age, inpatient-days, test).

Table 3.

Multivariable Modeling Analysis for Predictors of High Community- and Healthcare-Associated Clostridium difficile Infection (CDI) Incidence, 2010

Community-Associated CDI Multivariable Modela
PredictorCategoryIncidence Rate Ratiob95% CIP

Age1–171.00 (reference)
18–441.721.38–2.14<.0001
45–643.422.77–4.24<.0001
≥657.175.76–8.94<.0001
SexMale1.00 (reference)
Female1.411.23–1.61<.0001
RaceNon-white1.00 (reference)
White1.451.21–1.75<.0001
TestNAAT use by 10% increase1.111.06–1.16<.0001
Healthcare-Associated CDI Multivariable Modelc
PredictorCategoryIncidence Rate Ratiod95% CIP
Age1–171.00 (reference)
18–442.672.01–3.54<.0001
45–6411.238.54–14.76<.0001
≥6568.7952.56–90.03<.0001
Inpatient-daysIncrease in 10 000 inpatient-days per hospital1.101.01–1.20.02
TestNAAT use by 10% increase1.06.99–1.14.13
Community-Associated CDI Multivariable Modela
PredictorCategoryIncidence Rate Ratiob95% CIP

Age1–171.00 (reference)
18–441.721.38–2.14<.0001
45–643.422.77–4.24<.0001
≥657.175.76–8.94<.0001
SexMale1.00 (reference)
Female1.411.23–1.61<.0001
RaceNon-white1.00 (reference)
White1.451.21–1.75<.0001
TestNAAT use by 10% increase1.111.06–1.16<.0001
Healthcare-Associated CDI Multivariable Modelc
PredictorCategoryIncidence Rate Ratiod95% CIP
Age1–171.00 (reference)
18–442.672.01–3.54<.0001
45–6411.238.54–14.76<.0001
≥6568.7952.56–90.03<.0001
Inpatient-daysIncrease in 10 000 inpatient-days per hospital1.101.01–1.20.02
TestNAAT use by 10% increase1.06.99–1.14.13

Abbreviations: CI, confidence interval; NAAT, nucleic acid amplification test.

a Candidate variables included in the model: age, sex, race, NAAT usage, percentage of urban population, percentage of 18–64 years without health insurance, and average number of outpatient visits per hospital in each surveillance site.

b Adjusted for the factors that remained in the final model (age, sex, race, test).

c Candidate variables included in the model: age, sex, race, NAAT usage, average number of inpatient-days per hospital, and average number of nursing home patients in each surveillance site.

d Adjusted for the factors that remained in the final model (age, inpatient-days, test).

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