Evidence map›Paper›PMID 36625063›Full record

ArticleInfection control and hospital epidemiology2023

Optimizing reflex urine cultures: Using a population-specific approach to diagnostic stewardship.

Sonali D Advani, Nicholas A Turner, Kenneth E Schmader, Rebekah H Wrenn, Rebekah W Moehring, Christopher R Polage, Valerie M Vaughn, Deverick J Anderson

Open access · greenAbstract read
In one paragraph

Article in Infection control and hospital epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.4field-weighted citation impact, top 4% of its field
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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
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  5. Performance of Urinalysis Parameters in Predicting Urinary Tract Infection: Does One Size Fit All?Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
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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

8 authors at 3 institutions in 1 country.

Sonali D AdvaniDivision of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0001-5162-6482
Nicholas A TurnerDivision of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0003-0650-4894
Kenneth E SchmaderDivision of Geriatrics, Department of Medicine, Duke and Durham VA Medical Center, Durham, North Carolina.
Rebekah H WrennDivision of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
Rebekah W MoehringDivision of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.
Christopher R PolageDepartment of Pathology, Duke University School of Medicine, Durham, North Carolina.
Valerie M VaughnDivision of General Internal Medicine, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah.
Deverick J AndersonDivision of Infectious Diseases, Department of Medicine, Duke University School of Medicine, Durham, North Carolina.ORCID 0000-0001-6882-5496
Duke University · USDurham VA Medical Center · USUniversity of Utah · US

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Sarah B. Peskoe · 2006 to 2026
$24.6M
Duke KURe ProgramK12DK100024 · NIDDK · DUKE UNIVERSITY · PI Cindy Amundsen · 2013 to 2026
$8.4M
NIA NIH HHS P30 AG028716NIDDK NIH HHS K12 DK100024
6 · The paper itself

Abstract

backgroundClinicians and laboratories routinely use urinalysis (UA) parameters to determine whether antimicrobial treatment and/or urine cultures are needed. Yet the performance of individual UA parameters and common thresholds for action are not well defined and may vary across different patient populations.

methodsIn this retrospective cohort study, we included all encounters with UAs ordered 24 hours prior to a urine culture between 2015 and 2020 at 3 North Carolina hospitals. We evaluated the performance of relevant UA parameters as potential outcome predictors, including sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV). We also combined 18 different UA criteria and used receiver operating curves to identify the 5 best-performing models for predicting significant bacteriuria (≥100,000 colony-forming units of bacteria/mL).

resultsIn 221,933 encounters during the 6-year study period, no single UA parameter had both high sensitivity and high specificity in predicting bacteriuria. Absence of leukocyte esterase and pyuria had a high NPV for significant bacteriuria. Combined UA parameters did not perform better than pyuria alone with regard to NPV. The high NPV ≥0.90 of pyuria was maintained among most patient subgroups except females aged ≥65 years and patients with indwelling catheters.

conclusionWhen used as a part of a diagnostic workup, UA parameters should be leveraged for their NPV instead of sensitivity. Because many laboratories and hospitals use reflex urine culture algorithms, their workflow should include clinical decision support and or education to target symptomatic patients and focus on populations where absence of pyuria has high NPV.

Indexed as

BacteriuriaPyuriaUrinary Tract InfectionsFemaleHumansReflexRetrospective StudiesUrinalysisUrine

Identifiers

PMID36625063
PMCPMC9931665
OpenAlexW4313897995

What OpenQuestion holds

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Registered trials

None linked

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.