Evidence map›Paper›PMID 41307923›Full record

Observational studyClinical infectious diseases : an official publication of the Infectious Diseases Society of America2026

Reproducible Identification of Staphylococcus aureus Bacteremia Clinical Subphenotypes.

Maaike C Swets, Zsuzsa Bakk, Annette C Westgeest, Felicia Ruffin, Rachel Korn, Jean-Francois Jabbour, Priscilla La, Luke Tysall, Simon Dewar, Rebecca K Sutherland and 7 more

Abstract readObservational Study
In one paragraph

Observational study in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Maaike C SwetsDepartment of Infectious Diseases, Leiden University Medical Center, Leiden University, Leiden, The Netherlands.ORCID 0000-0003-0901-9560
Zsuzsa BakkDepartment of Methodology and Statistics, Leiden University, Leiden, The Netherlands.
Annette C WestgeestDepartment of Infectious Diseases, Leiden University Medical Center, Leiden University, Leiden, The Netherlands.ORCID 0000-0002-0648-3555
Felicia RuffinDivision of Infectious Diseases and International Health, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.ORCID 0000-0003-2176-6462
Rachel KornDivision of Infectious Diseases and International Health, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.ORCID 0009-0007-2239-0870
Jean-Francois JabbourDivision of Infectious Diseases and International Health, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.ORCID 0000-0002-0214-8290
Priscilla LaDivision of Infectious Diseases and International Health, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.ORCID 0009-0005-7724-4753
Luke TysallMedical Microbiology, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-0966-3877
Simon DewarMedical Microbiology, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom.
Rebecca K SutherlandClinical Infection Research Group, Western General Hospital, Edinburgh, United Kingdom.
Mark G J de BoerDepartment of Infectious Diseases, Leiden University Medical Center, Leiden University, Leiden, The Netherlands.ORCID 0000-0002-5009-6499
Geert H GroeneveldDepartment of Infectious Diseases, Leiden University Medical Center, Leiden University, Leiden, The Netherlands.
David H DockrellCentre for Inflammation Research, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-2718-4861
Thomas W van der VaartDivision of Infectious Diseases, Department of Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-5873-0474
Vance G FowlerDivision of Infectious Diseases and International Health, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA.ORCID 0000-0002-8048-0897
Clark D RussellCentre for Inflammation Research, Institute for Regeneration and Repair, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-9873-8243
IDISA study team

Funding

AMR MR/NO2995X/1Chief Scientist Office PCL/25/21Edinburgh Clinical Academic TrackMRCNIH HHS R01-AI165671Royal College of Physicians of EdinburghWellcome Trust 214178/Z/18/Z
6 · The paper itself

Abstract

backgroundClinical heterogeneity in Staphylococcus aureus bacteremia (SAB) complicates clinical management and research. We have previously identified 5 clinically distinct subphenotypes of SAB associated with differences in outcomes and response to adjunctive rifampicin. Here, we aimed to identify these subphenotypes in geographically diverse observational cohorts, including a higher prevalence of methicillin-resistant S. aureus (MRSA) bacteremia and the USA300 clone.

methodsWe studied 3 cohorts of adults with SAB from observational studies: a UK retrospective study (Edinburgh cohort 2; n = 463); a Dutch prospective study (IDISA [Improved Diagnostic Strategies in Staphylococcus aureus bacteremia study]; n = 490); and a prospective US study (SABG-PCS [Staphylococcus aureus Bacteremia Group Prospective Cohort Study]; n = 755). Subphenotypes were identified from routinely available clinical data using latent class analysis.

resultsPatients from the SABG-PCS cohort had greater multimorbidity and more MRSA bacteremia (40.2% [303 of 755]), including infection with the USA300 clone (14.7% [111 of 755]). Five distinct subphenotypes were identified in each cohort: (1) older age and cardiometabolic multimorbidity; (2) nosocomial acquisition and intravenous catheter portal of entry; (3) community acquisition and metastatic infection; (4) chronic kidney disease; and (5) younger age, injection drug use, and metastatic infection. Bacterial genotypes varied substantially between the Edinburgh 2 and SABG-PCS cohorts but did not differ between subphenotypes within each cohort. 90-day mortality was highest in subphenotype A, and persistent bacteremia in subphenotypes C and E.

conclusionsWe have reproducibly identified 5 clinical subphenotypes of SAB in observational cohorts including diverse bacterial genetic lineages and a cohort with a high prevalence of MRSA and USA300 bacteremia. These robustly reproducible clinical subphenotypes provide a framework to rationalize the heterogeneity intrinsic to SAB.

Indexed as

BacteremiaStaphylococcal InfectionsStaphylococcus aureusAdultAgedAged, 80 and overAnti-Bacterial AgentsFemaleGenotypeHumansMaleMethicillin-Resistant Staphylococcus aureusMiddle AgedNetherlandsPhenotypeProspective StudiesAnti-Bacterial AgentsbacteremiaMRSApatient stratificationStaphylococcus aureussubphenotypes

Identifiers

PMID41307923
PMCPMC13131937

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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.