Exploring the association between the degree of pyuria and urinary tract infections

The importance of this study is that it explores the optimal range of white cell count that defines a clinically significant urinary tract infection. The traditional cutoff of more than 10 white blood cells per microliter is often used; however, we now recognize that using this cutoff may not accurately represent true urinary infections, especially in certain populations such as young women. The uncertainty in the optimal white cell count cutoff has widespread implications. For the clinician, it may lead to unnecessary prescribing of antibiotics for patients who do not have a Urinary tract infection, such as asymptomatic bacteriuria. For the microbiology laboratory, it may lead to unnecessary workup and culture of urine samples that are not clinically relevant. Many studies to date have attempted to define an optimal value for urinary white cell count; however, not many have incorporated relevant clinical data, which this study has.

Authors

Institutions

Publication Details

Journal
Microbiology Spectrum
Published
2025-03-05
DOI
https://doi.org/10.1128/spectrum.02015-24
Citations
3
Primary Topic
Urinary Tract Infections Management
Type
article
Field-Weighted Citation Impact
4.06
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the association between the degree of pyuria and urinary tract infections

Katherine A. Bond, Katie M. Cronin, Wei Hong, E. C. S. Chan et al.
3 citations
Microbiology Spectrum
Urinary Tract Infections Management
4.06
article

Exploring the association between the degree of pyuria and urinary tract infections

Katherine A. Bond, Katie M. Cronin, Wei Hong, E. C. S. Chan, Homer Tien
article en
3 citations

Abstract

The importance of this study is that it explores the optimal range of white cell count that defines a clinically significant urinary tract infection. The traditional cutoff of more than 10 white blood cells per microliter is often used; however, we now recognize that using this cutoff may not accurately represent true urinary infections, especially in certain populations such as young women. The uncertainty in the optimal white cell count cutoff has widespread implications. For the clinician, it may lead to unnecessary prescribing of antibiotics for patients who do not have a Urinary tract infection, such as asymptomatic bacteriuria. For the microbiology laboratory, it may lead to unnecessary workup and culture of urine samples that are not clinically relevant. Many studies to date have attempted to define an optimal value for urinary white cell count; however, not many have incorporated relevant clinical data, which this study has.

Microbiology SpectrumVol. 13(4)
The Royal Melbourne Hospital (AU), Walter and Eliza Hall Institute of Medical Research (AU), Personalis (United States) (US)
Openalex Percentile: Top 7%
Urinary Tract Infections Management
4.06
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Exploring the association between the degree of pyuria and urinary tract infections — Katherine A. Bond, Katie M. Cronin, et al. · Microbiology Spectrum (2025) | TGRS Research Map | TGRS