期刊
CLINICAL INFECTIOUS DISEASES
卷 73, 期 4, 页码 605-613出版社
OXFORD UNIV PRESS INC
DOI: 10.1093/cid/ciab043
关键词
host-pathogen interactions; gene expression profiling; immunocompromised host; molecular diagnostic techniques
资金
- US Defense Advanced Research Projects Agency (DARPA) [N66001-09-C2082]
- National Institute of Allergy and Infectious Diseases of the National Institutes of Health [UM1AI104681]
- Duke University School of Medicine
- Infectious Diseases Society of America Medical Scholars Program
The study found that a host gene expression test for discriminating bacterial, viral, and noninfectious conditions had lower overall accuracy in immunocompromised patients compared to immunocompetent patients. However, with modified interpretive criteria, this strategy may still offer clinically useful diagnostic information for patients with immunocompromise.
Background. Host gene expression has emerged as a complementary strategy to pathogen detection tests for the discrimination of bacterial and viral infection. The impact of immunocompromise on host-response tests remains unknown. We evaluated a host-response test discriminating bacterial, viral, and noninfectious conditions in immunocompromised subjects. Methods. An 81-gene signature was measured using real-time-polymerase chain reaction in subjects with immunocompromise (chemotherapy, solid-organ transplant, immunomodulatory agents, AIDS) with bacterial infection, viral infection, or noninfectious illness. A regularized logistic regression model trained in immunocompetent subjects was used to estimate the likelihood of each class in immunocompromised subjects. Results. Accuracy in the 136-subject immunocompetent training cohort was 84.6% for bacterial versus nonbacterial discrimination and 80.8% for viral versus nonviral discrimination. Model validation in 134 immunocompromised subjects showed overall accuracy of 73.9% for bacterial infection (P = .04 relative to immunocompetent subjects) and 75.4% for viral infection (P = .30). A scheme reporting results by quartile improved test utility. The highest probability quartile ruled-in bacterial and viral infection with 91.4% and 84.0% specificity, respectively. The lowest probability quartile ruled-out infection with 90.1% and 96.4% sensitivity for bacterial and viral infection, respectively. Performance was independent of the type or number of immunocompromising conditions. Conclusions. A host gene expression test discriminated bacterial, viral, and noninfectious etiologies at a lower overall accuracy in immunocompromised patients compared with immunocompetent patients, although this difference was only significant for bacterial infection classification. With modified interpretive criteria, a host-response strategy may offer clinically useful diagnostic information for patients with immunocompromise.
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