Evidence map›Paper›PMID 40065713›Full record

ArticleJournal of Korean medical science2025

Urine Leukocyte Counts for Differentiating Asymptomatic Bacteriuria From Urinary Tract Infection and Predicting Secondary Bacteremia.

Yongseop Lee, JongHoon Hyun, Je Eun Song, Hyo Won Park, I Ji Yun, Yee Gyung Kwak, Yong Chan Kim

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Yongseop Lee *Division of Infectious Diseases, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-0116-6710
JongHoon Hyun *Division of Infectious Diseases, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea.ORCID https://orcid.org/0000-0002-9621-0250
Je Eun SongDivision of Infectious Diseases, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea.ORCID https://orcid.org/0000-0001-7056-6905
Hyo Won ParkDivision of Nursing, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.ORCID https://orcid.org/0009-0003-0584-7331
I Ji YunDepartment of Pharmacy, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea.ORCID https://orcid.org/0009-0009-4773-2165
Yee Gyung KwakDivision of Infectious Diseases, Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, Korea. ygkwak@paik.ac.kr.ORCID https://orcid.org/0000-0002-4713-8045
Yong Chan KimDivision of Infectious Diseases, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea. amomj@yuhs.ac.ORCID https://orcid.org/0000-0001-5081-7906

Funding

Yonsei University College of Medicine 2024-32-0049
6 · The paper itself

Abstract

backgroundDifferentiating between asymptomatic bacteriuria (ASB) and urinary tract infection (UTI) is difficult in patients who have difficulty communicating their symptoms. This study aimed to evaluate the diagnostic accuracy of urine leukocytes in distinguishing between UTI and ASB, and the clinical outcomes of patients with UTI according to the degree of pyuria.

methodsThis retrospective cohort study included patients with positive urine cultures between July 2022 and June 2023 at two hospitals. UTI and ASB were diagnosed through a comprehensive review of medical records. We evaluated the differences in urine leukocyte counts between patients with UTI and ASB. The diagnostic performance of urine leukocytes to differentiate between UTI and ASB was evaluated. To investigate the clinical outcomes based on the degree of pyuria, we classified patients with upper UTI according to their urine leukocyte counts.

resultsOf the 1,793 eligible patients with bacteriuria included, 1,464 had UTI and 329 had ASB. Patients with UTI had higher urinary leukocytes than patients with ASB did (490.4 vs. 123.5 cells/µL;

conclusionUrine leukocyte counts could be used to predict UTI occurrence and bacteremia secondary to UTI. Higher degrees of pyuria were associated with bacteremia but not with mortality. Urine leukocyte counts can provide additive information for patients with bacteriuria with vague symptoms.

Indexed as

BacteremiaBacteriuriaUrinary Tract InfectionsUrineAdultAgedAged, 80 and overArea Under CurveDiagnosis, DifferentialFemaleHumansLeukocyte CountLeukocytesMaleMiddle AgedPyuriaAsymptomatic BacteriuriaBacteremiaLeukocytePyuriaUrinary Tract InfectionUrine

Identifiers

PMID40065713
PMCPMC11893350

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.