Development of risk prediction models to predict urine culture growth for adults with suspected urinary tract infection in the emergency department: protocol for an electronic health record study from a single UK university hospital

Development of risk prediction models to predict urine culture growth for adults with suspected urinary tract infection in the emergency department: protocol for an electronic health record study from a single UK university hospital

Abstract Background Urinary tract infection (UTI) is a leading cause of hospital admissions and is diagnosed based on urinary symptoms and microbiological cultures. Due to lags in the availability of culture results of up to 72 h, and the limitations of routine diagnostics, many patients with suspec...

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Bibliographic Details
Main Authors: Patrick Rockenschaub, Martin J. Gill, David McNulty, Orlagh Carroll, Nick Freemantle, Laura Shallcross
Format: Article
Language:English
Published: BMC 2020-09-01
Series:Diagnostic and Prognostic Research
Subjects:
Protocol
Diagnosis
Urinary tract infection
Prediction models
Hospital
Online Access:http://link.springer.com/article/10.1186/s41512-020-00083-2

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http://link.springer.com/article/10.1186/s41512-020-00083-2

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