Your browser doesn't support javascript.
loading
Urine Flow Cytometry and Dipstick Analysis in Diagnosing Bacteriuria and Urinary Tract Infections among Adults in the Emergency Department-A Diagnostic Accuracy Trial.
Hertz, Mathias Amdi; Johansen, Isik Somuncu; Rosenvinge, Flemming S; Brasen, Claus Lohman; Andersen, Eline Sandvig; Østergaard, Claus; Skovsted, Thor Aage; Petersen, Eva Rabing Brix; Nielsen, Stig Lønberg; Mogensen, Christian Backer; Skjøt-Arkil, Helene.
Afiliación
  • Hertz MA; Department of Infectious Diseases, Odense University Hospital, 5000 Odense, Denmark.
  • Johansen IS; Research Unit of Infectious Diseases, Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, 5000 Odense, Denmark.
  • Rosenvinge FS; Department of Infectious Diseases, Odense University Hospital, 5000 Odense, Denmark.
  • Brasen CL; Research Unit of Infectious Diseases, Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, 5000 Odense, Denmark.
  • Andersen ES; Department of Clinical Microbiology, Odense University Hospital, 5000 Odense, Denmark.
  • Østergaard C; Research Unit of Clinical Microbiology, University of Southern Denmark, 5000 Odense, Denmark.
  • Skovsted TA; Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, 5000 Odense, Denmark.
  • Petersen ERB; Department of Biochemistry and Immunology, Lillebælt Hospital-University Hospital of Southern Denmark, 6000 Kolding, Denmark.
  • Nielsen SL; Department of Regional Health Research, Faculty of Health Sciences, University of Southern Denmark, 5000 Odense, Denmark.
  • Mogensen CB; Department of Biochemistry and Immunology, Lillebælt Hospital-University Hospital of Southern Denmark, 6000 Kolding, Denmark.
  • Skjøt-Arkil H; Department of Clinical Microbiology, Lillebælt Hospital-University Hospital of Southern Denmark, 7100 Vejle, Denmark.
Diagnostics (Basel) ; 14(4)2024 Feb 13.
Article en En | MEDLINE | ID: mdl-38396451
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.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Dinamarca

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2024 Tipo del documento: Article País de afiliación: Dinamarca
...