Evidence map›Paper›PMID 33820537›Full record

ArticleBMC infectious diseases2021

Cytokine measurements add value to clinical variables in predicting outcomes for Staphylococcus aureus bacteremia.

Karen Tan, Emi Minejima, Mimi Lou, Wendy J Mack, Paul Nieberg, Annie Wong-Beringer

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 32% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. The Utility of Risk Factors to Define Complicated Staphylococcus aureus Bacteremia in a Setting With Low Methicillin-Resistant S. aureus Prevalence.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024
    Article
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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

6 authors at 2 institutions in 1 country.

Karen TanDepartment of Clinical Pharmacy, University of Southern California (USC) School of Pharmacy, 1985 Zonal Avenue, Los Angeles, CA, 90089, USA.
Emi MinejimaDepartment of Clinical Pharmacy, University of Southern California (USC) School of Pharmacy, 1985 Zonal Avenue, Los Angeles, CA, 90089, USA.
Mimi LouDepartment of Clinical Pharmacy, University of Southern California (USC) School of Pharmacy, 1985 Zonal Avenue, Los Angeles, CA, 90089, USA.
Wendy J MackDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, USA.
Paul NiebergDepartment of Medicine - Infectious Diseases, Huntington Hospital, Pasadena, USA.
Annie Wong-BeringerDepartment of Clinical Pharmacy, University of Southern California (USC) School of Pharmacy, 1985 Zonal Avenue, Los Angeles, CA, 90089, USA. anniew@usc.edu.ORCID http://orcid.org/0000-0003-3302-1409
University of Southern California · USHuntington Hospital · US

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855
6 · The paper itself

Abstract

backgroundWe demonstrated that an early dysregulated cytokine response [high interleukin-10 to tissue necrosis factor (IL-10/TNF) ratio] predicted poor outcomes in patients with Staphylococcus aureus bacteremia (SAB). However, high interpatient variability in cytokine levels were observed. We grouped cytokine measurements in quartiles and assessed their additive value to clinical variables for predicting bacterial persistence and 30-day mortality in patients with SAB.

methodsA multicenter observational study was conducted in hospitalized patients with SAB. Medical charts were reviewed for relevant information. Blood samples were obtained for cytokine measurements by ELISA: interferon-gamma (IFNγ), interleukin (IL-1β, IL-6, IL-8, IL-10, IL-17) and tissue necrosis factor (TNF). Cytokine measurements were grouped into quartiles. Significant predictors for bacterial persistence and 30-day mortality were determined by multivariable logistic regression analysis. Area under the ROC curve (AUC) analysis was performed and predictive performance was compared between models with and without cytokine quartiles.

resultsAmong 606 patients with SAB, a subset of patients (n = 239) had Day 1 cytokine measurements and clinical data collected; of those, 53 (22%) had persistent bacteremia. Accounting for septic shock, the addition of either IL-10 (AUC 0.708) or TNF (AUC 0.714) quartiles measured on Day 1 improved model performance for predicting bacterial persistence. All patients had Day 4 cytokine measurements; 52 patients (8.5%) died within 30-days of SAB onset. Inclusion of either IL-10 (AUC 0.873) or TNF (AUC 0.879) quartiles, but not both, measured on Day 4 to the significant clinical predictors (coronary artery disease, Pitt bacteremia score ≥ 4, and septic shock) improved model performance for mortality.

conclusionsIL-10 or TNF levels falling within the range in the upper quartiles, when combined with clinical variables, improved model performance for predicting outcomes, and may potentially be used to support aggressive management and biomarker-guided studies to evaluate the benefit of adjunctive immunotherapy for SAB in the future.

Indexed as

AdultAgedArea Under CurveBiomarkersCytokinesFemaleHumansMaleMiddle AgedROC CurveShock, SepticStaphylococcal InfectionsStaphylococcus aureusSurvival AnalysisBiomarkersCytokines

Identifiers

PMID33820537
PMCPMC8022397
OpenAlexW3140259114

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.