A comparison of host response strategies to distinguish bacterial and viral infection.
dc.contributor.author | Ross, Melissa | |
dc.contributor.author | Henao, Ricardo | |
dc.contributor.author | Burke, Thomas W | |
dc.contributor.author | Ko, Emily R | |
dc.contributor.author | McClain, Micah T | |
dc.contributor.author | Ginsburg, Geoffrey S | |
dc.contributor.author | Woods, Christopher W | |
dc.contributor.author | Tsalik, Ephraim L | |
dc.contributor.editor | Moreira, José | |
dc.date.accessioned | 2022-02-01T14:47:56Z | |
dc.date.available | 2022-02-01T14:47:56Z | |
dc.date.issued | 2021-01 | |
dc.date.updated | 2022-02-01T14:47:55Z | |
dc.description.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. | |
dc.identifier | PONE-D-21-24643 | |
dc.identifier.issn | 1932-6203 | |
dc.identifier.issn | 1932-6203 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Public Library of Science (PLoS) | |
dc.relation.ispartof | PloS one | |
dc.relation.isversionof | 10.1371/journal.pone.0261385 | |
dc.title | A comparison of host response strategies to distinguish bacterial and viral infection. | |
dc.type | Journal article | |
duke.contributor.orcid | Henao, Ricardo|0000-0003-4980-845X | |
duke.contributor.orcid | Ginsburg, Geoffrey S|0000-0003-4739-9808 | |
duke.contributor.orcid | Woods, Christopher W|0000-0001-7240-2453 | |
duke.contributor.orcid | Tsalik, Ephraim L|0000-0002-6417-2042 | |
pubs.begin-page | e0261385 | |
pubs.issue | 12 | |
pubs.organisational-group | Duke | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | School of Nursing | |
pubs.organisational-group | Nursing | |
pubs.organisational-group | Basic Science Departments | |
pubs.organisational-group | Clinical Science Departments | |
pubs.organisational-group | Institutes and Centers | |
pubs.organisational-group | Biostatistics & Bioinformatics | |
pubs.organisational-group | Molecular Genetics and Microbiology | |
pubs.organisational-group | Medicine | |
pubs.organisational-group | Pathology | |
pubs.organisational-group | Medicine, Cardiology | |
pubs.organisational-group | Medicine, Infectious Diseases | |
pubs.organisational-group | Duke Cancer Institute | |
pubs.organisational-group | Duke Clinical Research Institute | |
pubs.organisational-group | Institutes and Provost's Academic Units | |
pubs.organisational-group | University Institutes and Centers | |
pubs.organisational-group | Duke Global Health Institute | |
pubs.publication-status | Published | |
pubs.volume | 16 |
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