Validation of a Host Gene Expression Test for Bacterial/Viral Discrimination in Immunocompromised Hosts.
Abstract
<h4>Background</h4>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.<h4>Methods</h4>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.<h4>Results</h4>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.<h4>Conclusions</h4>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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https://hdl.handle.net/10161/24295Published Version (Please cite this version)
10.1093/cid/ciab043Publication Info
Mahle, Rachael E; Suchindran, Sunil; Henao, Ricardo; Steinbrink, Julie M; Burke, Thomas
W; McClain, Micah T; ... Tsalik, Ephraim L (2021). Validation of a Host Gene Expression Test for Bacterial/Viral Discrimination in Immunocompromised
Hosts. Clinical infectious diseases : an official publication of the Infectious Diseases
Society of America, 73(4). pp. 605-613. 10.1093/cid/ciab043. Retrieved from https://hdl.handle.net/10161/24295.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Thomas Burke
Manager, Systems Project
Geoffrey Steven Ginsburg
Adjunct Professor in the Department of Medicine
Dr. Geoffrey S. Ginsburg's research interests are in the development of novel paradigms
for developing and translating genomic information into medical practice and the integration
of personalized medicine into health care.
Ricardo Henao
Associate Professor in Biostatistics & Bioinformatics
Micah Thomas McClain
Associate Professor of Medicine
Julie Steinbrink
Assistant Professor of Medicine
I am a transplant infectious diseases physician. My clinical care focuses on the management
of infections in immunocompromised patients, including solid organ and bone marrow
transplant recipients, as well as cancer patients. My research focuses on developing
noninvasive biomarker diagnostics and severity prognostic tools for infectious diseases
in immunocompromised patients.
Ephraim Tsalik
Adjunct Associate Professor in the Department of Medicine
My research at Duke has focused on understanding the dynamic between host and pathogen
so as to discover and develop host-response markers that can diagnose and predict
health and disease. This new and evolving approach to diagnosing illness has the
potential to significantly impact individual as well as public health considering
the rise of antibiotic resistance.
With any potential infectious disease diagnosis, it is difficult, if not impossible,
to determine at the time of pre
Christopher Wildrick Woods
Wolfgang Joklik Distinguished Professor of Global Health
1. Emerging Infections 2. Global Health 3. Epidemiology of infectious diseases
4. Clinical microbiology and diagnostics 5. Bioterrorism Preparedness 6. Surveillance
for communicable diseases 7. Antimicrobial resistance
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