Evidence map›Paper›PMID 30165412›Full record

Observational studyClinical infectious diseases : an official publication of the Infectious Diseases Society of America2019

A Prognostic Model of Persistent Bacteremia and Mortality in Complicated Staphylococcus aureus Bloodstream Infection.

Alessander O Guimaraes, Yi Cao, Kyu Hong, Oleg Mayba, Melicent C Peck, Johnny Gutierrez, Felicia Ruffin, Montserrat Carrasco-Triguero, Jason B Dinoso, Angelo Clemenzi-Allen and 6 more

Abstract readObservational Study
In one paragraph

Observational study in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Gut microbes · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Persistent Methicillin-ResistantAntibiotics (Basel, Switzerland) · 2023
    Review
  14. Article
  15. Review
  16. Persistent Methicilin-Resistant Staphylococcus aureus Bacteremia: Resetting the Clock for Optimal Management.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
    Article
  17. Review
  18. Article
  19. Article
  20. Frontiers in microbiology · 2022
    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

16 authors.

Alessander O GuimaraesBiomarker Discovery, Genentech, Inc., South San Francisco, California.
Yi CaoBiomarker Discovery, Genentech, Inc., South San Francisco, California.
Kyu HongBiomarker Discovery, Genentech, Inc., South San Francisco, California.
Oleg MaybaBiomarker Discovery, Genentech, Inc., South San Francisco, California.
Melicent C PeckBiomarker Discovery, Genentech, Inc., South San Francisco, California.
Johnny GutierrezBiomarker Discovery, Genentech, Inc., South San Francisco, California.
Felicia RuffinDivision of Infectious Diseases, Duke University, Durham, North Carolina.
Montserrat Carrasco-TrigueroBiomarker Discovery, Genentech, Inc., South San Francisco, California.
Jason B DinosoBiomarker Discovery, Genentech, Inc., South San Francisco, California.
Angelo Clemenzi-AllenDivision of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco.
Catherine A KossDivision of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco.
Stacey A MaskarinecDivision of Infectious Diseases, Duke University, Durham, North Carolina.
Henry F ChambersDivision of HIV, Infectious Diseases, and Global Medicine, University of California San Francisco.
Vance G FowlerDivision of Infectious Diseases, Duke University, Durham, North Carolina.
Amos BaruchBiomarker Discovery, Genentech, Inc., South San Francisco, California.
Carrie M RosenbergerBiomarker Discovery, Genentech, Inc., South San Francisco, California.

Funding

Institutional Career Development CoreKL2TR002554 · NCATS · DUKE UNIVERSITY · PI SVETKEY, LAURA P · 2018 to 2022
$8.2M
BIOLOGY OF INFECTIOUS DISEASES TRAINING PROGRAMT32AI007641 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY · 2000 to 2026
$6.9M
Training in HIV Translational ResearchT32AI060530 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Diane V Havlir · 2005 to 2026
$6.4M
NCATS NIH HHS KL2 TR002554NIAID NIH HHS T32 AI007641NIAID NIH HHS T32 AI060530
6 · The paper itself

Abstract

backgroundStaphylococcus aureus is a leading cause of bacteremia, yet there remains a significant knowledge gap in the identification of relevant biomarkers that predict clinical outcomes. Heterogeneity in the host response to invasive S. aureus infection suggests that specific biomarker signatures could be utilized to differentiate patients prone to severe disease, thereby facilitating earlier implementation of more aggressive therapies.

methodsTo further elucidate the inflammatory correlates of poor clinical outcomes in patients with S. aureus bacteremia, we evaluated the association between a panel of blood proteins at initial presentation of bacteremia and disease severity outcomes using 2 cohorts of patients with S. aureus bacteremia (n = 32 and n = 124).

resultsWe identified 13 candidate proteins that were correlated with mortality and persistent bacteremia. Prognostic modeling identified interleukin (IL)-8 and CCL2 as the strongest individual predictors of mortality, with the combination of these biomarkers classifying fatal outcome with 89% sensitivity and 77% specificity (P < .0001). Baseline IL-17A levels were elevated in patients with persistent bacteremia (P < .0001), endovascular (P = .026) and metastatic tissue infections (P = .012).

conclusionsThese results demonstrate the potential utility of selected biomarkers to distinguish patients with the highest risk for treatment failure and bacteremia-related complications, providing a valuable tool for clinicians in the management of S. aureus bacteremia. Additionally, these biomarkers could identify patients with the greatest potential to benefit from novel therapies in clinical trials.

Indexed as

AdultAgedAged, 80 and overAnti-Bacterial AgentsBacteremiaBiomarkersCase-Control StudiesChemokine CCL2Endocarditis, BacterialFemaleHumansInterleukin-17Interleukin-8MaleMiddle AgedPrognosisAnti-Bacterial AgentsBiomarkersCCL2 protein, humanChemokine CCL2CXCL8 protein, humanIL17A protein, humanInterleukin-17Interleukin-8bacteremiaendocarditisprognostic biomarkersStaphylococcus aureus

Identifiers

PMID30165412
PMCPMC6481998

What OpenQuestion holds

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Registered trials

None linked

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.