Evidence map›Paper›PMID 35420659›Full record

ArticleJAMA network open2022

Prospective Validation of a Rapid Host Gene Expression Test to Discriminate Bacterial From Viral Respiratory Infection.

Emily R Ko, Ricardo Henao, Katherine Frankey, Elizabeth A Petzold, Pamela D Isner, Anja K Jaehne, Nakia Allen, Jayna Gardner-Gray, Gina Hurst, Jacqueline Pflaum-Carlson and 26 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

17 citing papers in PubMed, 29 citations in OpenAlex.

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  14. Priorities and Progress in Diagnostic Research by the Antibacterial Resistance Leadership Group.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Review
  15. Clinically Adjudicated Reference Standards for Evaluation of Infectious Diseases Diagnostics.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  16. Article
  17. Review
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

36 authors at 13 institutions in 2 countries.

Emily R KoCenter for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, North Carolina.
Ricardo HenaoCenter for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, North Carolina.
Katherine FrankeyCenter for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, North Carolina.
Elizabeth A PetzoldCenter for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, North Carolina.
Pamela D IsnerCenter for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, North Carolina.
Anja K JaehneDepartment of Emergency Medicine, Henry Ford Hospital System, Detroit, Michigan.
Nakia AllenDepartment of Pediatrics, Henry Ford Hospital System, Detroit, Michigan.
Jayna Gardner-GrayDepartment of Emergency Medicine, Henry Ford Hospital System, Detroit, Michigan.
Gina HurstDepartment of Emergency Medicine, Henry Ford Hospital System, Detroit, Michigan.
Jacqueline Pflaum-CarlsonDepartment of Emergency Medicine, Henry Ford Hospital System, Detroit, Michigan.
Namita JayaprakashDepartment of Emergency Medicine, Henry Ford Hospital System, Detroit, Michigan.
Emanuel P RiversDepartment of Emergency Medicine, Henry Ford Hospital System, Detroit, Michigan.
Henry WangMcGovern Medical University of Texas Health, Houston.
Irma UgaldeMcGovern Medical University of Texas Health, Houston.
Siraj AmanullahDepartment of Emergency Medicine, Alpert Medical School of Brown University, Hasbro Children's Hospital, Providence, Rhode Island.
Laura MercurioDepartment of Emergency Medicine, Alpert Medical School of Brown University, Hasbro Children's Hospital, Providence, Rhode Island.
Thomas H ChunDepartment of Emergency Medicine, Alpert Medical School of Brown University, Hasbro Children's Hospital, Providence, Rhode Island.
Larissa MayDepartment of Emergency Medicine, University of California, Davis.
Robert W HickeyDivision of Pediatric Emergency Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, Pennsylvania.
Jacob E LazarusDivision of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Shauna H GunaratneDivision of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Daniel J PallinDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
Guruprasad JambaulikarDepartment of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
David S HuckinsDepartment of Emergency Medicine, Newton-Wellesley Hospital, Boston, Massachusetts.
Krow AmpofoDepartment of Pediatrics, University of Utah, Salt Lake City.
Ravi JhaveriDepartment of Pediatrics, University of North Carolina at Chapel Hill.
Yunyun JiangThe Biostatistics Center, George Washington University, Rockville, Maryland.
Lauren KomarowThe Biostatistics Center, George Washington University, Rockville, Maryland.
Scott R EvansThe Biostatistics Center, George Washington University, Rockville, Maryland.
Geoffrey S GinsburgCenter for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, North Carolina.
L Gayani TillekeratneCenter for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, North Carolina.
Micah T McClainCenter for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, North Carolina.
Thomas W BurkeCenter for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, North Carolina.
Christopher W WoodsCenter for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, North Carolina.
Ephraim L TsalikCenter for Applied Genomics and Precision Medicine, Duke University School of Medicine, Durham, North Carolina.
Antibacterial Resistance Leadership Group
CNR de la Résistance aux Antibiotiques · FRDuke University · USHenry Ford Hospital · USBrigham and Women's Hospital · USGeorge Washington University · USBrown University · USChildren's Hospital of Pittsburgh · USNewton Wellesley Hospital · USNorthwestern University · USThe Ohio State University · USThe University of Texas Health Science Center at Houston · USUniversity of California, Davis · USUniversity of Utah · US

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

Importance: Bacterial and viral causes of acute respiratory illness (ARI) are difficult to clinically distinguish, resulting in the inappropriate use of antibacterial therapy. The use of a host gene expression-based test that is able to discriminate bacterial from viral infection in less than 1 hour may improve care and antimicrobial stewardship. Objective: To validate the host response bacterial/viral (HR-B/V) test and assess its ability to accurately differentiate bacterial from viral infection among patients with ARI. Design, Setting, and Participants: This prospective multicenter diagnostic study enrolled 755 children and adults with febrile ARI of 7 or fewer days' duration from 10 US emergency departments. Participants were enrolled from October 3, 2014, to September 1, 2019, followed by additional enrollment of patients with COVID-19 from March 20 to December 3, 2020. Clinical adjudication of enrolled participants identified 616 individuals as having bacterial or viral infection. The primary analysis cohort included 334 participants with high-confidence reference adjudications (based on adjudicator concordance and the presence of an identified pathogen confirmed by microbiological testing). A secondary analysis of the entire cohort of 616 participants included cases with low-confidence reference adjudications (based on adjudicator discordance or the absence of an identified pathogen in microbiological testing). Thirty-three participants with COVID-19 were included post hoc. Interventions: The HR-B/V test quantified the expression of 45 host messenger RNAs in approximately 45 minutes to derive a probability of bacterial infection. Main Outcomes and Measures: Performance characteristics for the HR-B/V test compared with clinical adjudication were reported as either bacterial or viral infection or categorized into 4 likelihood groups (viral very likely [probability score <0.19], viral likely [probability score of 0.19-0.40], bacterial likely [probability score of 0.41-0.73], and bacterial very likely [probability score >0.73]) and compared with procalcitonin measurement. Results: Among 755 enrolled participants, the median age was 26 years (IQR, 16-52 years); 360 participants (47.7%) were female, and 395 (52.3%) were male. A total of 13 participants (1.7%) were American Indian, 13 (1.7%) were Asian, 368 (48.7%) were Black, 131 (17.4%) were Hispanic, 3 (0.4%) were Native Hawaiian or Pacific Islander, 297 (39.3%) were White, and 60 (7.9%) were of unspecified race and/or ethnicity. In the primary analysis involving 334 participants, the HR-B/V test had sensitivity of 89.8% (95% CI, 77.8%-96.2%), specificity of 82.1% (95% CI, 77.4%-86.6%), and a negative predictive value (NPV) of 97.9% (95% CI, 95.3%-99.1%) for bacterial infection. In comparison, the sensitivity of procalcitonin measurement was 28.6% (95% CI, 16.2%-40.9%; P < .001), the specificity was 87.0% (95% CI, 82.7%-90.7%; P = .006), and the NPV was 87.6% (95% CI, 85.5%-89.5%; P < .001). When stratified into likelihood groups, the HR-B/V test had an NPV of 98.9% (95% CI, 96.1%-100%) for bacterial infection in the viral very likely group and a positive predictive value of 63.4% (95% CI, 47.2%-77.9%) for bacterial infection in the bacterial very likely group. The HR-B/V test correctly identified 30 of 33 participants (90.9%) with acute COVID-19 as having a viral infection. Conclusions and Relevance: In this study, the HR-B/V test accurately discriminated bacterial from viral infection among patients with febrile ARI and was superior to procalcitonin measurement. The findings suggest that an accurate point-of-need host response test with high NPV may offer an opportunity to improve antibiotic stewardship and patient outcomes.

Indexed as

Bacterial InfectionsCOVID-19Virus DiseasesAdultBacteriaChildFemaleFeverGene ExpressionHumansMaleProcalcitoninProcalcitonin

Identifiers

PMID35420659
PMCPMC9011121
OpenAlexW4223926391

What OpenQuestion holds

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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.