Evidence map›Paper›PMID 41882335›Full record

Observational studyInfection2026

Clinical and microbial insights into polymicrobial vascular graft infections: a prospective observational study.

Catrina I Pedrett, Jana Epprecht, Bruno Ledergerber, Julian Bär, Judith Bergada-Pijuan, Claudio T Acevedo, Andrea Tarnutzer, Benedikt Reutersberg, Pascal M Frey, Annelies S Zinkernagel and 2 more

Abstract readObservational Study
In one paragraph

Observational study in Infection, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

12 authors.

Catrina I Pedrett *Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Jana Epprecht *Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Bruno LedergerberDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Julian BärDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Judith Bergada-PijuanDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Claudio T AcevedoDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Andrea TarnutzerDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Benedikt ReutersbergDepartment of Vascular Surgery, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Pascal M FreyDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Annelies S ZinkernagelDepartment of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Silvio D Brugger *Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland. silvio.brugger@usz.ch.
Barbara Hasse *Department of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 211422Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung,Switzerland 31003A_176252University of Zurich, Clinical Research Priority Program Precision Medicine for Bacterial Infections"
6 · The paper itself

Abstract

objectivesVascular graft/endograft infections (VGEI) are difficult-to-treat and associated with high morbidity and mortality. Up to 40% of VGEI are polymicrobial, complicating clinical management. This study investigates microbial interactions and their impact on clinical outcomes.

methodsWe analyzed patient characteristics and survival in poly- versus monomicrobial infections from the VASGRA cohort, a Swiss prospective observational study. Kaplan-Meier analysis and Cox proportional hazards models were used to assess survival. Furthermore, a subset of patient-derived bacterial strains underwent Quantitative Fitness Analysis (QFA) to quantify changes in fitness in mono- and polymicrobial conditions.

resultsAmong 227 VGEI episodes, 81 (35.7%) were polymicrobial. Overall survival was 87.7% at one year and 77.5% at five years, with polymicrobial infections associated with reduced survival (log-rank p = 0.004). Multivariable analyses confirmed that polymicrobial infections (adjusted HR = 2.94, 95% CI: 1.60-5.41, p < 0.001) and age per 10 years older (adjusted HR = 2.07, 95% CI: 1.26-3.41, p = 0.004) were independent risk factors for increased mortality. There was also a trend of an association with diabetes mellitus (adjusted HR = 1.95, 95% CI: 0.91-4.29, p = 0.088). QFA of five strain pairs revealed diverse interaction patterns among pathogens, ranging from complete inhibition to enhanced growth in co-culture.

conclusionPolymicrobial infections, along with older age and diabetes mellitus, were identified as independent risk factors for increased mortality in VGEI patients. QFA revealed diverse bacterial interactions, highlighting the complexity of polymicrobial environments in VGEI.

Indexed as

CoinfectionProsthesis-Related InfectionsAgedFemaleHumansMaleMiddle AgedProspective StudiesRisk FactorsSwitzerlandMicrobe-microbe interactionsPolymicrobial infectionsQuantitative fitness analysis (QFA)Vascular graft/endograft infections

Identifiers

PMID41882335
PMCPMC13661717

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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.