Urine Flow Cytometry and Dipstick Analysis in Diagnosing Bacteriuria and Urinary Tract Infections among Adults in the Emergency Department—A Diagnostic Accuracy Trial
Mathias Amdi Hertz,
Isik Somuncu Johansen,
Flemming S. Rosenvinge,
Claus Lohman Brasen,
Eline Sandvig Andersen,
Claus Østergaard,
Thor Aage Skovsted,
Eva Rabing Brix Petersen,
Stig Lønberg Nielsen,
Christian Backer Mogensen,
Helene Skjøt-Arkil
Affiliations
Mathias Amdi Hertz
Department of Infectious Diseases, Odense University Hospital, 5000 Odense, Denmark
Isik Somuncu Johansen
Department of Infectious Diseases, Odense University Hospital, 5000 Odense, Denmark
Flemming S. Rosenvinge
Department of Clinical Microbiology, Odense University Hospital, 5000 Odense, Denmark
Claus Lohman Brasen
Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, 5000 Odense, Denmark
Eline Sandvig Andersen
Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, 5000 Odense, Denmark
Claus Østergaard
Department of Clinical Microbiology, Lillebælt Hospital—University Hospital of Southern Denmark, 7100 Vejle, Denmark
Thor Aage Skovsted
Department of Biochemistry and Immunology, University Hospital of Southern Denmark, 6200 Aabenraa, Denmark
Eva Rabing Brix Petersen
Department of Biochemistry and Immunology, Lillebælt Hospital—University Hospital of Southern Denmark, 6000 Kolding, Denmark
Stig Lønberg Nielsen
Department of Infectious Diseases, Odense University Hospital, 5000 Odense, Denmark
Christian Backer Mogensen
Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, 5000 Odense, Denmark
Helene Skjøt-Arkil
Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, 5000 Odense, Denmark
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.