Evidence map›Paper›PMID 31631046›Full record

ArticleEBioMedicine2019

Validation of a host response test to distinguish bacterial and viral respiratory infection.

Emily C Lydon, Ricardo Henao, Thomas W Burke, Mert Aydin, Bradly P Nicholson, Seth W Glickman, Vance G Fowler, Eugenia B Quackenbush, Charles B Cairns, Stephen F Kingsmore and 9 more

Registry-linked trialAbstract read
In one paragraph

Article in EBioMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05762302 (A Multicenter Randomized Controlled Trial to Establish the Impact of MeMed BV® on Management of Patients With Suspected Lower Respiratory Tract Infections), which is not on this map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing 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.

NCT05762302 narecruitingnot on this mapstarted 2023, after this paper: background citation

A Multicenter Randomized Controlled Trial to Establish the Impact of MeMed BV® on Management of Patients With Suspected Lower Respiratory Tract Infections (LRTI) in the Emergency Department (ED) and Urgent Care Center (UCC) ("JUPITER" TRIAL)

TypeinterventionalSponsorMeMed Diagnostics Ltd.Ran2023 to 2026Enrolled1,316ConditionsLower Respiratory Tract InfectionArmsMeMed BV test
3 · Its place in the literature

Who cites it

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

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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

19 authors.

Emily C LydonDuke University School of Medicine, Durham, NC, USA; Duke University Center for Applied Genomics and Precision Medicine, Durham, NC, USA.
Ricardo HenaoDuke University Department of Biostatistics and Informatics, Durham, NC, USA.
Thomas W BurkeDuke University Center for Applied Genomics and Precision Medicine, Durham, NC, USA.
Mert AydinDuke University Center for Applied Genomics and Precision Medicine, Durham, NC, USA.
Bradly P NicholsonInstitute of Medical Research, Durham Veterans Affairs Medical Center, Durham, NC, USA.
Seth W GlickmanUniversity of North Carolina Medical Center, Chapel Hill, NC, USA.
Vance G FowlerDuke University Department of Medicine, Durham, NC, USA; Duke Clinical Research Institute, Durham, NC, USA.
Eugenia B QuackenbushUniversity of North Carolina Medical Center, Chapel Hill, NC, USA.
Charles B CairnsUniversity of North Carolina Medical Center, Chapel Hill, NC, USA; United Arab Emirates University, Al Ain, UAE.
Stephen F KingsmoreRady Children's Institute for Genomic Medicine, San Diego, CA, USA.
Anja K JaehneHenry Ford Hospital System, Detroit, MI, USA.
Emanuel P RiversHenry Ford Hospital System, Detroit, MI, USA.
Raymond J LangleyUniversity of South Alabama Health University Hospital, Mobile, AL, USA.
Elizabeth PetzoldDuke University Center for Applied Genomics and Precision Medicine, Durham, NC, USA.
Emily R KoDuke University Center for Applied Genomics and Precision Medicine, Durham, NC, USA; Department of Hospital Medicine, Duke Regional Hospital, Durham, NC 27705, USA.
Micah T McClainDuke University Center for Applied Genomics and Precision Medicine, Durham, NC, USA; Durham Veterans Affairs Health Care System, Durham, NC, USA.
Geoffrey S GinsburgDuke University Center for Applied Genomics and Precision Medicine, Durham, NC, USA.
Christopher W WoodsDuke University Center for Applied Genomics and Precision Medicine, Durham, NC, USA; Durham Veterans Affairs Health Care System, Durham, NC, USA. Electronic address: chris.woods@duke.edu.
Ephraim L TsalikDuke University Center for Applied Genomics and Precision Medicine, Durham, NC, USA; Durham Veterans Affairs Health Care System, Durham, NC, USA. Electronic address: e.t@duke.edu.

Funding

Antibacterial Resistance Leadership Group (ARLG)UM1AI104681 · NIAID · DUKE UNIVERSITY · PI Vance G. Fowler, Henry F HENRY CHAMBERS · 2013 to 2026
$180.8M
NIAID NIH HHS UM1 AI104681
6 · The paper itself

Abstract

backgroundDistinguishing bacterial and viral respiratory infections is challenging. Novel diagnostics based on differential host gene expression patterns are promising but have not been translated to a clinical platform nor extensively tested. Here, we validate a microarray-derived host response signature and explore performance in microbiology-negative and coinfection cases.

methodsSubjects with acute respiratory illness were enrolled in participating emergency departments. Reference standard was an adjudicated diagnosis of bacterial infection, viral infection, both, or neither. An 87-transcript signature for distinguishing bacterial, viral, and noninfectious illness was measured from peripheral blood using RT-PCR. Performance characteristics were evaluated in subjects with confirmed bacterial, viral, or noninfectious illness. Subjects with bacterial-viral coinfection and microbiologically-negative suspected bacterial infection were also evaluated. Performance was compared to procalcitonin.

findings151 subjects with microbiologically confirmed, single-etiology illness were tested, yielding AUROCs 0•85-0•89 for bacterial, viral, and noninfectious illness. Accuracy was similar to procalcitonin (88% vs 83%, p = 0•23) for bacterial vs. non-bacterial infection. Whereas procalcitonin cannot distinguish viral from non-infectious illness, the RT-PCR test had 81% accuracy in making this determination. Bacterial-viral coinfection was subdivided. Among 19 subjects with bacterial superinfection, the RT-PCR test identified 95% as bacterial, compared to 68% with procalcitonin (p = 0•13). Among 12 subjects with bacterial infection superimposed on chronic viral infection, the RT-PCR test identified 83% as bacterial, identical to procalcitonin. 39 subjects had suspected bacterial infection; the RT-PCR test identified bacterial infection more frequently than procalcitonin (82% vs 64%, p = 0•02).

interpretationThe RT-PCR test offered similar diagnostic performance to procalcitonin in some subgroups but offered better discrimination in others such as viral vs. non-infectious illness and bacterial/viral coinfection. Gene expression-based tests could impact decision-making for acute respiratory illness as well as a growing number of other infectious and non-infectious diseases.

Indexed as

BiomarkersHost-Pathogen InteractionsAdultAgedBacterial InfectionsCoinfectionDiagnosis, DifferentialFemaleHumansMaleMiddle AgedPrecision MedicineReal-Time Polymerase Chain ReactionReproducibility of ResultsRespiratory Tract InfectionsVirus DiseasesBiomarkersBiomarkersCoinfectionDiagnosisGene expressionPrecision medicineRespiratory tract infections

Identifiers

PMID31631046
PMCPMC6838360

What OpenQuestion holds

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Registered trials

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.