Evidence map›Paper›PMID 34905580›Full record

ArticlePloS one2021

A comparison of host response strategies to distinguish bacterial and viral infection.

Melissa Ross, Ricardo Henao, Thomas W Burke, Emily R Ko, Micah T McClain, Geoffrey S Ginsburg, Christopher W Woods, Ephraim L Tsalik

Abstract readComparative Study
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Review
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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

8 authors.

Melissa RossDuke University School of Medicine, Durham, NC, United States of America.
Ricardo HenaoDuke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America.ORCID 0000-0003-4980-845X
Thomas W BurkeDuke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America.ORCID 0000-0003-0592-5822
Emily R KoDuke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America.
Micah T McClainDuke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America.
Geoffrey S GinsburgDuke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America.
Christopher W WoodsDuke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America.
Ephraim L TsalikDuke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America.ORCID 0000-0002-6417-2042

Funding

Antibacterial Resistance Leadership Group (ARLG)UM1AI104681 · NIAID · DUKE UNIVERSITY · PI Vance G. Fowler, Henry F HENRY CHAMBERS · 2013 to 2026
$180.8M
Plasma Protein Biomarker-Based Diagnostics Of Outcome In Sepsis and CAPU01AI066569 · NIAID · NATIONAL CENTER FOR GENOME RESOURCES · PI KINGSMORE, STEPHEN FRANCIS · 2005 to 2010
$2.9M
NIAID NIH HHS U01 AI066569NIAID NIH HHS UM1 AI104681
6 · The paper itself

Abstract

objectivesCompare three host response strategies to distinguish bacterial and viral etiologies of acute respiratory illness (ARI).

methodsIn this observational cohort study, procalcitonin, a 3-protein panel (CRP, IP-10, TRAIL), and a host gene expression mRNA panel were measured in 286 subjects with ARI from four emergency departments. Multinomial logistic regression and leave-one-out cross validation were used to evaluate the protein and mRNA tests.

resultsThe mRNA panel performed better than alternative strategies to identify bacterial infection: AUC 0.93 vs. 0.83 for the protein panel and 0.84 for procalcitonin (P<0.02 for each comparison). This corresponded to a sensitivity and specificity of 92% and 83% for the mRNA panel, 81% and 73% for the protein panel, and 68% and 87% for procalcitonin, respectively. A model utilizing all three strategies was the same as mRNA alone. For the diagnosis of viral infection, the AUC was 0.93 for mRNA and 0.84 for the protein panel (p<0.05). This corresponded to a sensitivity and specificity of 89% and 82% for the mRNA panel, and 85% and 62% for the protein panel, respectively.

conclusionsA gene expression signature was the most accurate host response strategy for classifying subjects with bacterial, viral, or non-infectious ARI.

Indexed as

AdultBacteriaBacterial InfectionsBiomarkersCase-Control StudiesChemokine CXCL10C-Reactive ProteinDiagnosis, DifferentialEmergency Service, HospitalFemaleFollow-Up StudiesHumansMaleMiddle AgedProcalcitoninPrognosisBiomarkersChemokine CXCL10C-Reactive ProteinCRP protein, humanCXCL10 protein, humanProcalcitoninReceptors, ImmunologicTNF-Related Apoptosis-Inducing LigandTNFSF10 protein, human

Identifiers

PMID34905580
PMCPMC8670660

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Registered trials

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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.