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A comparison of host response strategies to distinguish bacterial and viral infection.
Ross, Melissa; Henao, Ricardo; Burke, Thomas W; Ko, Emily R; McClain, Micah T; Ginsburg, Geoffrey S; Woods, Christopher W; Tsalik, Ephraim L.
Afiliação
  • Ross M; Duke University School of Medicine, Durham, NC, United States of America.
  • Henao R; Duke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America.
  • Burke TW; Department of Electrical and Computer Engineering, Duke University, Durham, NC, United States of America.
  • Ko ER; Duke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America.
  • McClain MT; Duke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America.
  • Ginsburg GS; Duke Regional Hospital, Durham, NC, United States of America.
  • Woods CW; Duke Center for Applied Genomics & Precision Medicine, Duke University School of Medicine, Durham, NC, United States of America.
  • Tsalik EL; Medical Service, Durham Veterans Affairs Health Care System, Durham, NC, United States of America.
PLoS One ; 16(12): e0261385, 2021.
Article em En | MEDLINE | ID: mdl-34905580
ABSTRACT

OBJECTIVES:

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

METHODS:

In 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.

RESULTS:

The 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.

CONCLUSIONS:

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

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Respiratórias / Bactérias / Infecções Bacterianas / Vírus / Viroses Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies País como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Respiratórias / Bactérias / Infecções Bacterianas / Vírus / Viroses Tipo de estudo: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies País como assunto: America do norte Idioma: En Ano de publicação: 2021 Tipo de documento: Article