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Record W3209300822 · doi:10.1093/pch/pxab061.019

25 Role of the urinalysis in managing infants less than 60 days old with a positive urine culture

2021· article· en· W3209300822 on OpenAlexaffabout
Steffany Charles, Marissa Aycan, Michelle D’Alessandro, Andrew Latchman, Gita Wahi

Bibliographic record

VenuePaediatrics & Child Health · 2021
Typearticle
Languageen
FieldMedicine
TopicPediatric Urology and Nephrology Studies
Canadian institutionsHamilton Health SciencesHealth Sciences CentreMcMaster University
Fundersnot available
KeywordsUrinalysisMedicineUrinePyuriaPediatricsUrinary systemBacteremiaCohortPopulationRetrospective cohort studyAntibioticsInternal medicine

Abstract

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Abstract Primary Subject area Hospital Paediatrics Background Urinary tract infections (UTIs) in infants less than 60 days of age, often lead to hospitalization and intravenous antibiotic treatment. There are currently no national recommendations for the diagnosis and management of UTIs in this population. Historically, the urine culture alone was thought to be sufficient for diagnosing UTI due to concerns regarding the sensitivity of urinalysis (UA) in young infants. However, there is evidence that in children of all ages, the absence of pyuria in children with UTIs is rare. The role of the UA in influencing the current management of infants aged less than 60 days, with a positive urine culture, remains unclear. Objectives The objective of this study was to describe the characteristics of infants aged less than 60 days old with a positive urine culture. Specifically, we sought to: 1) determine the differences in clinical and biochemical characteristics of infants with a positive UA versus a negative UA; and 2) determine if UA result was associated with length of intravenous antibiotic treatment. Design/Methods We completed a retrospective cohort study of infants aged 0 to 60 days with a positive urine culture, cared for in a Canadian tertiary care children’s hospital between April 2016 and March 2019. Patients with a history of prematurity and those with a concomitant bacteremia or meningitis were excluded. A positive urine culture was defined as greater than 10,000 CFU/ml of a single organism obtained from a catheter specimen. A positive UA was defined by positive nitrites and/or a positive leukocyte esterase screen, and/or pyuria (greater than 5 white blood cells per high power field). Clinical and biochemical characteristics of infant groups with a positive UA, versus negative UA, were compared. Linear regression analysis was used to understand the association between UA result and length of intravenous antibiotic treatment. Results A total of 718 charts were screened. Eighty-nine patients met inclusion criteria, of which 52 (58%) had a positive UA and 37 (42%) had a negative UA. Of the 89 included infants, the average age was 32.5 days (SD 16.7), 31.5% were female, 79.8% had fever at presentation, and the average length of stay was 5.6 days (SD 2.9). Patients with a positive UA were more often febrile at presentation (90.3% vs. 64.9%, p = 0.006), and had a higher CRP (51.0, SD 56.1 vs. 8.1, SD 13.0), p < 0.001), higher white blood cell count (15.2, SD 6.0 vs. 11.0, SD 5.7, p= 0.002), and more often had urine culture growth of E. Coli (96.2% vs. 62.9%, p < 0.001). UA result was not associated with length of intravenous antibiotic treatment (p= 0.15). Conclusion This study demonstrates that infants with a positive urine culture and a positive UA result had more characteristics of infection, including fever, elevated CRP, elevated white blood cell count, and growth of E. Coli uropathogen, compared to infants with a negative UA. Despite this difference, there was no significant difference in length of intravenous antibiotic treatment between UA-positive versus UA-negative groups. This study suggests that infants with clinical and biochemical findings supportive of a UTI more often had a positive UA, along with a positive culture, and that the UA should be used as a screening test for UTI in infants aged less than 60 days.

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.248
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes2
Has abstractyes

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