Evidence map›Paper›PMID 24651215›Full record

ArticlePediatric emergency care2014

Can a simple urinalysis predict the causative agent and the antibiotic sensitivities?

Muhammad Waseem, Justin Chen, Govinda Paudel, Nirdesh Sharma, Manuel Castillo, Yumna Ain, Mark Leber

Abstract read
In one paragraph

Article in Pediatric emergency care, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. International journal of pediatrics & adolescent medicine · 2022
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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

7 authors at 2 institutions in 2 countries.

Muhammad WaseemFrom the Departments of *Emergency Medicine and †Pediatrics, Lincoln Medical & Mental Health Center, Bronx, NY; and ‡St George's University, Grenada, West Indies.
Justin Chen
Govinda Paudel
Nirdesh Sharma
Manuel Castillo
Yumna Ain
Mark Leber
St. George's University · GDLincoln Medical Center · US

Funding

RESEARCH TRAINING PROGRAM IN PEDIATRIC CARDIOLOGYT32HL007413 · NHLBI · UNIVERSITY OF IOWA · PI SCHOLZ, THOMAS D · 1985 to 2018
$3.0M
NHLBI NIH HHS T32 HL007413
6 · The paper itself

Abstract

objectivesThe objective of this study was (1) to determine the reliability of urinalysis (UA) for predicting urinary tract infection (UTI) in febrile children, (2) to determine whether UA findings can predict Escherichia coli versus non-E. coli urinary tract infection, and (3) to determine if empiric antibiotics should be selected based on E. coli versus non-E. coli infection predictions.

methodsThis was a retrospective chart review of children from 2 months to 2 years of age who presented to the emergency department with fever (rectal temperature >100.4°F) and had a positive urine culture. This study was conducted between January 2004 and December 2007. Negative UA was defined as urine white blood cell count less than 5 per high-power field, negative leukocyte esterase, and negative nitrites. Urine cultures were classified into E. coli and non-E. coli groups. These groups were compared for sex, race, and UA findings. Multivariate forward logistic regression, using the Wald test, was performed to calculate the likelihood ratio (LR) of each variable (eg, sex, race, UA parameters) in predicting UTI. In addition, antibiotic sensitivities between both groups were compared.

resultsOf 749 medical records reviewed, 608 were included; negative UA(-) was present in 183 cases, and positive UA(+) was observed in 425 cases. Furthermore, 424 cases were caused by E. coli, and 184 were due to non-E. coli organisms. Among 425 UA(+) cases, E. coli was identified in 349 (82.1%), whereas non-E. coli organisms were present in 76 (17.9%); in contrast, in 183 UA(-) cases, 108 (59%) were due to non-E. coli organisms versus 75 (41%), which were caused by E. coli. Urinalysis results were shown to be associated with organism group (P < 0.001). Positive leukocytes esterase had an LR of 2.5 (95% confidence interval [CI], 1.5-4.2), positive nitrites had an LR of 2.8 (95% CI, 1.4-5.5), and urine white blood cell count had an LR of 1.8 (95% CI, 1.3-2.4) in predicting E. coli versus non-E. coli infections. Antibiotic sensitivity compared between UA groups demonstrated equivalent superiority of cefazolin (94.7% sensitive in UA(+) vs 84.0% in UA(-) group; P < 0.0001), cefuroxime (98.2% vs 91.7%; P < 0.001), and nitrofurantoin (96.1% vs 82.2%; P < 0.0001) in the UA(+) group. In contrast, the UA(-) group showed significant sensitivity to trimethoprim-sulfamethoxazole (82.2% vs 71.3% in UA(+); P = 0.008).

conclusionsUrinalysis is not an accurate predictor of UTI. A positive urine culture in the presence of negative UA most likely grew non-E. coli organisms, whereas most UA(+) results were associated with E. coli. This study also highlighted local patterns of antibiotic resistance between E. coli and non-E. coli groups. Negative UA results in the presence of strong suspicion of a UTI suggest a non-E. coli organism, which may be best treated with trimethoprim-sulfamethoxazole. Conversely, UA(+) results suggest E. coli, which calls for treatment with cefazolin or cefuroxime.

Indexed as

Microbial Sensitivity TestsAnti-Bacterial AgentsChild, PreschoolDrug Resistance, BacterialEmergency Service, HospitalEscherichia coliEscherichia coli InfectionsFemaleFeverHumansInfantMaleReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityUrinalysisAnti-Bacterial Agents

Identifiers

PMID24651215
PMCPMC4357576
OpenAlexW1991480629

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

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.