# From Screening to Outcomes: Fourteen-Year Hospital-Wide Surveillance of Alert Pathogens and Antimicrobial Use in a Paediatric Tertiary Hospital

**Authors:** Aleksandra Tukendorf, Julia Burzyńska, Katarzyna Semczuk, Ryszard Sot, Katarzyna Dzierżanowska-Fangrat

PMC · DOI: 10.3390/antibiotics15020118 · Antibiotics · 2026-01-26

## TL;DR

A pediatric hospital tracked infection control measures and antibiotic use over 14 years, finding increased detection of pathogens but stable infection rates and shifts in antibiotic use.

## Contribution

Long-term analysis of IPC measures and antimicrobial use in a pediatric hospital reveals trends in pathogen detection and antibiotic class redistribution.

## Key findings

- Screening intensity increased significantly over 14 years, leading to higher detection of pathogen colonization.
- MDRO-attributable healthcare-associated infections remained low and stable despite increased screening.
- Antibiotic use showed a shift in class distribution without a long-term reduction in total consumption.

## Abstract

Background/Objectives: Infection prevention and control (IPC) programs combine pathogen-targeted measures (e.g., admission screening) with hospital-wide standard precautions (e.g., hand hygiene, HH). We assessed temporal associations between screening, HH, antimicrobial stewardship (AMS), and hospital-level outcomes in a tertiary paediatric hospital. Methods: This study was a retrospective hospital-wide ecological time-series at the Children’s Memorial Health Institute. Annual aggregate data: 2011–2024 for screening, colonisation, and healthcare-associated infections (HAIs) with alert pathogens; 2016–2024 for antibiotic consumption (ATC J01, systemic antibacterials). Process indicators: number of screening tests and alcohol-based hand rub (ABHR) consumption per 1000 patient-days (PD). Outcomes: colonisations/HAIs per 1000 PD and defined daily doses (DDD) per 1000 PD overall and by class. Trends used linear regression and Spearman’s rank correlation. Results: Screening intensity increased from 39 to 150/1000 PD (slope +8.3/year; R2 = 0.90; p < 0.001). Detected colonisation rose (2.5 → peak 8.05/1000 PD in 2023; slope +0.39; R2 = 0.81; p < 0.001), while multidrug-resistant-organism (MDRO)-attributable HAIs remained low/stable (0.27–0.62/1000 PD; slope −0.014; p = 0.023). ABHR consumption increased from 26.1 to 78.0 L/1000 PD in 2020 (p < 0.001) and partially normalised to 60.0 in 2024 (>2 × baseline). Overall ATC J01 showed no long-term linear trend (~278–356 DDD/1000 PD; +2.57/year; p = 0.46), but class mix shifted: carbapenems, fluoroquinolones, and amoxicillin–clavulanate decreased; third/fourth-generation cephalosporins, piperacillin/tazobactam, and glycopeptides increased. Conclusions: In this tertiary paediatric setting, expansion of risk-based admission screening and sustained implementation of horizontal IPC measures were accompanied by increased detection of colonisation with alert pathogens, while MDRO-attributable HAIs remained low and stable at the hospital level. Over the same period, AMS activity coincided with a redistribution in antibiotic class use without a clear long-term reduction in total antibiotic consumption. These hospital-level findings are descriptive and hypothesis-generating; causal inference is limited by the ecological study design, and the heterogeneous, multispecialty structure of a tertiary paediatric centre.

## Full-text entities

- **Genes:** MBL3P (mannose-binding lectin family member 3, pseudogene) [NCBI Gene 50639] {aka COLEC2, MBL}
- **Diseases:** AMR (MESH:D060467), injury to (MESH:D014947), HH (MESH:D006230), staphylococcal bacteraemia (MESH:D011023), CMHI (MESH:D015362), CPE (MESH:C564985), COVID-19 (MESH:D000086382), CPE infection (MESH:D007239), deaths (MESH:D003643), HAIs (MESH:D003428), ESBL (MESH:C538111), MRSA (MESH:D013203), CAR (MESH:D056733), ABHR (MESH:D012135)
- **Chemicals:** EDTA (MESH:D004492), Amoxicillin-clavulanate (MESH:D019980), boronic-acid (MESH:D001897), temocillin (MESH:C031367), cefoxitin (MESH:D002440), teicoplanin (MESH:D017334), Methicillin (MESH:D008712), cefepime (MESH:D000077723), ceftazidime (MESH:D002442), Vancomycin (MESH:D014640), carbapenem (MESH:D015780), cloxacillin (MESH:D003023), fluoroquinolone (MESH:D024841), Piperacillin/tazobactam (MESH:D000077725), cephalosporins (MESH:D002511), cefuroxime (MESH:D002444), cefotaxime (MESH:D002439), ABHR (-), alcohol (MESH:D000438), ATC (MESH:C003438), cefazolin (MESH:D002437), glycopeptides (MESH:D006020)
- **Species:** Klebsiella pneumoniae (species) [taxon 573], Pseudomonas aeruginosa (species) [taxon 287], Enterobacterales (order) [taxon 91347], Enterococcus (genus) [taxon 1350], Homo sapiens (human, species) [taxon 9606], Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395], Staphylococcus aureus (species) [taxon 1280], Acinetobacter baumannii (species) [taxon 470]

## Full text

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## Figures

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## References

46 references — full list in the complete paper: https://tomesphere.com/paper/PMC12937373/full.md

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Source: https://tomesphere.com/paper/PMC12937373