A simulation study of antimicrobial resistance carriage in neonatal intensive care units: implications for cluster-randomised trials

Background: Premature neonates in the neonatal intensive care unit (NICU) frequently experience hospital-acquired infection. Antimicrobial resistance (AMR) among hospital-acquired pathogens limits antibiotic treatment options. Infection prevention and control (IPC) interventions can reduce resistant bacterial carriage among infants in the NICU, but there is no high-level evidence to quantify this effect. In this data-driven simulation study, we explored the power of a parallel cluster-randomised trial evaluating the impact of an IPC intervention on prevalence of AMR genes carriage. Methods: Neonates admitted to 24 NICUs from 8 European countries participating in the EU-funded NeoIPC feasibility study[1] were screened during four point-prevalence surveys (PPSs) at variable intervals of 4, 7, and 10 days. Neonatal stool samples were centrally tested by PCR for presence of ESBL (CTX-M group 1 and 9), CPE (blaIMP, blaKPC, blaNDM, blaOXA-48, blaVIM), and VRE genes (vanA, vanB). Data from neonates born <32 weeks gestational age were modelled using a mixed effects logistic regression. Based on this, we simulated a multi-country, parallel cluster-randomised trial with a duration of 12 months, while varying the number of clusters, microbiological sampling frequency, and countries. We assumed 25% missing stool samples. Length of stay was based on published data [2]. The main outcome was the power of each set of design characteristics to detect a reduction in AMR genes carriage. Results: Stool samples were available in 631 (67%) of 947 infant-PPS combinations. AMR genes were detected in 119/631 (19%) of samples, varying from 0% to 46% between countries (Figure 1). The best model had a fixed effect for admission duration and random intercepts for NICU and infant (Figure 2). Adequate power could only be attained with a high number of NICUs or when restricting to NICUs from high-prevalence countries (Figure 3). Power was minimally affected by the sampling frequency. Conclusions: To evaluate the impact of IPC interventions on prevalence of AMR gene carriage in a cluster-randomised trial in the NICU, a very large number of clusters or restriction to high-prevalence settings is required. Frequent sampling is not needed. References: [1] NeoIPC feasibility phase: Colonisation Surveillance. NeoIPC project website: https://neoipc.org/feasibility/ [2] S.E. Seaton et al. Estimating neonatal length of stay for babies born very preterm. Arch Dis Child Fetal Neonatal Ed. 2019 Mar;104(2):F182-F186. doi: 10.1136/archdischild-2017-314405. Acknowledgements: This work has been funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 965328.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-11
DOI
https://doi.org/10.5281/zenodo.17250027
Primary Topic
Plant Pathogenic Bacteria Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A simulation study of antimicrobial resistance carriage in neonatal intensive care units: implications for cluster-randomised trials

Zenodo (CERN European Organization for Nuclear Research)
Plant Pathogenic Bacteria Studies
article

A simulation study of antimicrobial resistance carriage in neonatal intensive care units: implications for cluster-randomised trials

article en

Abstract

Background: Premature neonates in the neonatal intensive care unit (NICU) frequently experience hospital-acquired infection. Antimicrobial resistance (AMR) among hospital-acquired pathogens limits antibiotic treatment options. Infection prevention and control (IPC) interventions can reduce resistant bacterial carriage among infants in the NICU, but there is no high-level evidence to quantify this effect. In this data-driven simulation study, we explored the power of a parallel cluster-randomised trial evaluating the impact of an IPC intervention on prevalence of AMR genes carriage. Methods: Neonates admitted to 24 NICUs from 8 European countries participating in the EU-funded NeoIPC feasibility study[1] were screened during four point-prevalence surveys (PPSs) at variable intervals of 4, 7, and 10 days. Neonatal stool samples were centrally tested by PCR for presence of ESBL (CTX-M group 1 and 9), CPE (blaIMP, blaKPC, blaNDM, blaOXA-48, blaVIM), and VRE genes (vanA, vanB). Data from neonates born <32 weeks gestational age were modelled using a mixed effects logistic regression. Based on this, we simulated a multi-country, parallel cluster-randomised trial with a duration of 12 months, while varying the number of clusters, microbiological sampling frequency, and countries. We assumed 25% missing stool samples. Length of stay was based on published data [2]. The main outcome was the power of each set of design characteristics to detect a reduction in AMR genes carriage. Results: Stool samples were available in 631 (67%) of 947 infant-PPS combinations. AMR genes were detected in 119/631 (19%) of samples, varying from 0% to 46% between countries (Figure 1). The best model had a fixed effect for admission duration and random intercepts for NICU and infant (Figure 2). Adequate power could only be attained with a high number of NICUs or when restricting to NICUs from high-prevalence countries (Figure 3). Power was minimally affected by the sampling frequency. Conclusions: To evaluate the impact of IPC interventions on prevalence of AMR gene carriage in a cluster-randomised trial in the NICU, a very large number of clusters or restriction to high-prevalence settings is required. Frequent sampling is not needed. References: [1] NeoIPC feasibility phase: Colonisation Surveillance. NeoIPC project website: https://neoipc.org/feasibility/ [2] S.E. Seaton et al. Estimating neonatal length of stay for babies born very preterm. Arch Dis Child Fetal Neonatal Ed. 2019 Mar;104(2):F182-F186. doi: 10.1136/archdischild-2017-314405. Acknowledgements: This work has been funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 965328.

Zenodo (CERN European Organization for Nuclear Research)
University of Antwerp (BE), St George's, University of London (GB), National Bioinformatics Infrastructure Sweden
Good health and well-being
Openalex Percentile: Top 32%
Plant Pathogenic Bacteria Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.