ArticleScientific reports2021
Clinical characteristics and prediction analysis of pediatric urinary tract infections caused by gram-positive bacteria.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 8 citations in OpenAlex.
- Construction and validation of a machine learning model for predicting urine culture positivity in children with suspected urinary tract infections.Annals of medicine · 2026Article
- XGBoost (eXtreme Gradient Boosting) Can Predict Organisms Growing in Urine Culture from the Emergency Department.The western journal of emergency medicine · 2026Article
- Urinary tract infection in urolithiasis patients: risk factor analysis, pathogen distribution, and antimicrobial resistance characteristics.Frontiers in public health · 2026Article
- Determinants of Multidrug Resistance Among Gram-Positive Uropathogens in Central Portugal: A 5-Year Retrospective Study.International journal of microbiology · 2026Article
- Methicillin-resistantThe Lancet regional health. Western Pacific · 2025Review
- Current Trends in Antibiotic Resistance Patterns of Pathogens in Urinary Tract Infections in Children in Karaganda, Kazakhstan.Iranian journal of medical sciences · 2025Article
- Risk factors for enterococcal urinary tract infection in emergency department patients: A sub-analysis of the UNTRIED study.The American journal of emergency medicine · 2025Observational
- Clinical characteristics and nomogram model for predicting the risk of recurrence of complicated urinary tract infection in pediatric patients.Scientific reports · 2024Article
- The Distribution Trend and Antimicrobial Susceptibility of Uropathogens in Taiwan: Retrospective Analysis of a 10-Year Study.Journal of acute medicine · 2023Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gram-positive (GP) pathogens are less accounted for in pediatric urinary tract infection (UTI), and their clinical impact is underrecognized. This study aimed to identify predictors of GP uropathogens in pediatric UTI. In this 14-year retrospective cohort of pediatric patients with UTI, we classified first-time UTIs cases into those caused by GP or Gram-negative (GN) bacteria. We constructed a multivariable logistic regression model to predict GP UTI. We evaluated model performance through calibration and discrimination plots. We developed a nomogram to predict GP UTI that is clinically feasible. Of 3783 children with first-time UTI, 166 (4.4%) were infected by GP and 3617 (95.6%) by GN bacteria. Among children with GP UTI, the most common uropathogens were vancomycin-resistant Enterococcus faecalis (VRE) (27.1%), Staphylococcus saprophyticus (26.5%), and coagulase-negative Staphylococci (12.7%). Eight independent risk factors were associated with GP UTI: Age ≥ 24 months (odds ratio [OR]: 3.21), no prior antibiotic use (OR: 3.13), serum white blood cell (WBC) count < 14.4 × 10
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