Evidence map›Paper›PMID 41013712›Full record

ArticleAntimicrobial resistance and infection control2025

The impact of central line-specific dwell-times for neonatal central line associated bloodstream infections.

Martina Buttera, Carolyn Luhmann-Lunt, Michael Buettcher, Dirk Lehnick, Martin Stocker

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Article in Antimicrobial resistance and infection control, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Martina ButteraDepartment of Neonatology and Pediatric Intensive Care, Children's Hospital of Central Switzerland, Spitalstrasse, Lucerne, 6000, Switzerland.
Carolyn Luhmann-LuntDepartment of Neonatology and Pediatric Intensive Care, Children's Hospital of Central Switzerland, Spitalstrasse, Lucerne, 6000, Switzerland.
Michael BuettcherDepartment of Pediatrics, Infectious Diseases, Children's Hospital of Central Switzerland, Lucerne, Switzerland.
Dirk LehnickBiostatistics and Methodology, Department of Health Sciences and Medicine, CTU-CS, University of Lucerne, Lucerne, Switzerland.
Martin StockerDepartment of Neonatology and Pediatric Intensive Care, Children's Hospital of Central Switzerland, Spitalstrasse, Lucerne, 6000, Switzerland. martin.stocker@luks.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCentral line-associated bloodstream infections (CLABSIs) are among the most serious infectious complications associated with central lines in neonates. CLABSIs can be prevented by healthcare workers using "bundles" when inserting and managing central lines. These include prompt removal of the central line when it is no longer needed. The aim of this study was to describe and analyze neonatal CLABSIs, focusing on a minimal data set including specific catheter types and dwell times.

methodsA retrospective descriptive study reviewing the management and outcome of neonates with CLABSI admitted to the Department of Neonatology and Neonatal Intensive Care at the Children's Hospital of Central Switzerland in Lucerne from 1 January 2020 to 31 December 2023.

resultsIn this four-year period, a total of 27,636 neonates were born in the catchment area and 2599 neonates (9.4%) were admitted to our hospital. In total, 615 neonates (23.7%) had at least one central line with a total of 4940 catheter days. We observed an overall neonatal CLABSI rate of 2.9 per 1,000 catheter days. The rate varied significantly by catheter type: 0 per 1,000 catheter days for umbilical artery catheters (UACs), 0.9 per 1,000 catheter days for peripherally inserted central lines (PICCs), 5.6 per 1,000 catheter days for umbilical venous catheters (UVCs), and 17.9 per 1,000 catheter days for centrally inserted venous catheters (CVCs). All episodes of CLABSI were observed after a dwell time of 5 days, with increasing rates after 9 days.

conclusionsWe observed a pronounced variation in CLABSI rates between different catheter types. All episodes of CLABSI were observed after a dwell time of 5 days, with increasing rates after 9 days, and the rate of CLABSI increased with longer dwell times for UVCs and CVCs. This suggests a reduction in dwell time as a potential strategy for future quality improvement programs aiming for a zero CLABSI rate and underlines the importance of reporting central-line specific dwell-times for future publications.

Indexed as

BacteremiaCatheterization, Central VenousCatheter-Related InfectionsCentral Venous CathetersFemaleHumansInfant, NewbornIntensive Care Units, NeonatalMaleRetrospective StudiesSwitzerlandTime FactorsCentral cathetersCLABSIDwell-timeNeonatesNICUPICC-linesUmbilical catheters

Identifiers

PMID41013712
PMCPMC12465460

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.