Abstract

Mixed flora in urine cultures usually occur due to pre-analytic contamination. In our outpatient urology clinic, we found a high prevalence of mixed flora (46.2%), which was associated with female sex and older age. Patient education did not impact the rate of mixed flora. Future efforts should target high-risk patients.

Highlights

  • Logistic regression analysis of the baseline cohort was performed to identify any risk factors: body mass index (BMI), age in decades, sex, International Classification of Disease Tenth Revision (ICD-10) stone disease diagnosis for mixed versus negative urine culture

  • The incidence of mixed urine cultures was higher in females compared to males (65.9% vs 29.7%; P < .0005), in patients with stone compared to nonstone diagnoses (54.8% vs 40.0%; P = .023), and in patients with BMI >30 kg/m2 compared to those with BMI ≤30 kg/m2 (47.9% vs 42.7%; P < .0005)

  • In multivariate logistic regression model, female patients had 16 times higher odds of mixed urine cultures, and increasing age was associated with 1.17 higher odds of mixed urine cultures per decade of life

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Summary

Introduction

Logistic regression analysis of the baseline cohort was performed to identify any risk factors: body mass index (BMI), age in decades, sex, International Classification of Disease Tenth Revision (ICD-10) stone disease diagnosis (codes N20.0, N20.1, N20.2 due to association with mixed flora) for mixed versus negative urine culture. A segmented regression (ie, interrupted time series) analysis was performed to estimate changes in monthly incidence of mixed urine cultures in the baseline and intervention period

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