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Record W4403683137 · doi:10.1093/pch/pxae067.068

69 Urinary tract infections in preterm infants: Review in two Canadian tertiary centers

2024· article· en· W4403683137 on OpenAlexaboutno aff
Mimi Kuan, Celine Balay, Ye Shen, Lindsay L. Richter, Sarka Lisonkova, Jonathan Wong, Joseph Ting

Bibliographic record

VenuePaediatrics & Child Health · 2024
Typearticle
Languageen
FieldMedicine
TopicPediatric Urology and Nephrology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsUrinary systemTertiary careMedicinePediatricsInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Urinary tract infections (UTI) in premature infants are commonly seen in the neonatal intensive care unit (NICU). The reported prevalence of UTI in this population ranges from 1.9-12.2% due to the lack of standardized criteria for UTI among infants less than two months of age. Enterococcus and Enterobacteriaceae are well known to cause UTI and their resistance pattern has been reported to be rising in the neonatal nosocomial infections worldwide. Objectives To describe the epidemiology, microbiology, and antimicrobial treatment for UTI in premature infants based on different diagnostic criteria. Design/Methods This retrospective study (2019-2022) included infants born at <33 weeks of gestational age (GA) with positive urine cultures and ≥5 days of antimicrobials treatment. We collected data from two tertiary level NICUs in Canada, including demographics, microbial susceptibility patterns, urinalysis and imaging results, and antibiotic treatment. Results We identified 43 infants managed as UTI based on physicians’ discretions. The median GA at birth was 26-27 weeks, while the median onset of first UTI ranged 39-80 days, with male predominance [Table 2]. Mixed growth of organisms constituted 21-42% of cases of UTI [Table 1]. Among UTI cases with only single growth organism, we found 53.5% and 18.6% cases fulfilled UTI diagnostic criteria based on the concentration of colony forming units (CFU) of >104/mL or >107/L and >105/mL or >108/L, respectively [Table 1]. Of these cases, 67.4% of infants had urinalysis sent with the culture, and the higher the concentration of CFU, the more likely the samples showed positive nitrites on urinalysis, with 100% correlation among those with CFU >105/mL or >108/L. [Table 1] The most common pathogens were Enterococcus species, E.Coli, Klebsiella species, Citrobacter species and Enterobacter cloacae complex [Table 2]. Among gram negative bacilli (E. Coli and Klebsiella species), greater than 42-80% were resistant to 3rd generation cephalosporins (3GC). We did not identify any vancomycin-resistant Enterococcus strains. Median duration of antimicrobial treatment ranged from 8-13 days, depending on the diagnostic criteria applied. At least 10% of infants with UTI showed abnormalities on kidney ultrasound [Table 2]. Conclusion There exists a large variation in UTI prevalence according to different diagnostic criteria. Abnormal urinalysis with presence of nitrites were frequently associated with UTI of high CFU count. High resistance to 3GC among gram negative bacilli was concerning and carried an impact on the appropriate empirical treatment choice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.002
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.212
Threshold uncertainty score0.426

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0130.027
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.314
Teacher spread0.302 · 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
Published2024
Admission routes1
Has abstractyes

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