Urine Flow Cytometry and Dipstick Analysis in Diagnosing Bacteriuria and Urinary Tract Infections among Adults in the Emergency Department—A Diagnostic Accuracy Trial

Author:

Hertz Mathias Amdi12ORCID,Johansen Isik Somuncu12ORCID,Rosenvinge Flemming S.34,Brasen Claus Lohman56ORCID,Andersen Eline Sandvig56,Østergaard Claus7,Skovsted Thor Aage8ORCID,Petersen Eva Rabing Brix68,Nielsen Stig Lønberg12,Mogensen Christian Backer59,Skjøt-Arkil Helene59ORCID

Affiliation:

1. Department of Infectious Diseases, Odense University Hospital, 5000 Odense, Denmark

2. Research Unit of Infectious Diseases, Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, 5000 Odense, Denmark

3. Department of Clinical Microbiology, Odense University Hospital, 5000 Odense, Denmark

4. Research Unit of Clinical Microbiology, University of Southern Denmark, 5000 Odense, Denmark

5. Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, 5000 Odense, Denmark

6. Department of Biochemistry and Immunology, Lillebælt Hospital—University Hospital of Southern Denmark, 6000 Kolding, Denmark

7. Department of Clinical Microbiology, Lillebælt Hospital—University Hospital of Southern Denmark, 7100 Vejle, Denmark

8. Department of Biochemistry and Immunology, University Hospital of Southern Denmark, 6200 Aabenraa, Denmark

9. Emergency Department, University Hospital of Southern Denmark, 6200 Aabenraa, Denmark

Abstract

Urinary tract infections (UTIs) are a leading infectious cause of emergency department admission. Early UTI diagnosis is challenging, and a faster, preferably point-of-care urine analysis is necessary. We aimed to evaluate the diagnostic accuracy of urine flow cytometry (UFC) and urine dipstick analysis (UDA) in identifying bacteriuria and UTIs. This study included adults suspected of an infection admitted to three Danish emergency departments. UFC and UDA were the index tests, and urine culture and an expert panel diagnosis were the reference tests. We used logistic regression and receiver operator characteristics curves to find each test’s optimal model and cut-off. We enrolled 966 patients and performed urine cultures on 786. Urine culture was positive in 337, and 200 patients were diagnosed with a UTI. The UFC model ruled out bacteriuria in 10.9% with a negative predictive value (NPV) of 94.6% and ruled out UTI in 38.6% with an NPV of 97.0%. UDA ruled out bacteriuria in 52.1% with an NPV of 79.2% and UTI in 52.8% with an NPV of 93.9%. Neither UFC nor UDA performed well in ruling out bacteriuria in our population. In contrast, both tests ruled out UTI safely and in clinically relevant numbers.

Funder

Odense University Hospital

Gundhild Jenny Andersens Foundation

University of Southern Denmark

Publisher

MDPI AG

Reference29 articles.

1. Epidemiology, management, and outcome of infection, sepsis, and septic shock in a German emergency department (EpiSEP study);Wolfertz;Front. Med.,2022

2. Ambulatory medical care utilization estimates for 2007;Schappert;Vital Health Stat.,2011

3. Danmarks_Statistik (2023, May 24). Danmarks Statistik, Statistikbanken.dk. Available online: https://statistikbanken.dk/ind04.

4. How many urinalysis and urine cultures are necessary?;Laan;Eur. J. Intern. Med.,2021

5. Mismatch between suspected pyelonephritis and microbiological diagnosis: A cohort study from a UK teaching hospital;Shallcross;J. Hosp. Infect.,2018

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