Maria D Iglesias-Ussel, Nicholas O'Grady, Jack Anderson, Paul G Mitsis, Thomas W Burke, Ricardo Henao, Joseph Scavetta, Clare Camilleri, Sepideh Naderi, Amanda Carittini, Max Perelman, Rachel A Myers, Geoffrey S Ginsburg, Emily R Ko, Micah T McClain, Jesse van Westrienen, Ephraim L Tsalik, L Gayani Tillekeratne, Christopher W Woods
{"title":"利用便携式分子诊断平台进行细菌/病毒感染的快速宿主反应血液检测。","authors":"Maria D Iglesias-Ussel, Nicholas O'Grady, Jack Anderson, Paul G Mitsis, Thomas W Burke, Ricardo Henao, Joseph Scavetta, Clare Camilleri, Sepideh Naderi, Amanda Carittini, Max Perelman, Rachel A Myers, Geoffrey S Ginsburg, Emily R Ko, Micah T McClain, Jesse van Westrienen, Ephraim L Tsalik, L Gayani Tillekeratne, Christopher W Woods","doi":"10.1093/ofid/ofae729","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Difficulty discriminating bacterial versus viral etiologies of infection drives unwarranted antibacterial prescriptions and, therefore, antibacterial resistance.</p><p><strong>Methods: </strong>Utilizing a rapid portable test that measures peripheral blood host gene expression to discriminate bacterial and viral etiologies of infection (the HR-B/V assay on Biomeme's polymerase chain reaction-based Franklin platform), we tested 3 cohorts of subjects with suspected infection: the HR-B/V training cohort, the HR-B/V technical correlation cohort, and a coronavirus disease 2019 cohort.</p><p><strong>Results: </strong>The Biomeme HR-B/V test showed very good performance at discriminating bacterial and viral infections, with a bacterial model accuracy of 84.5% (95% confidence interval [CI], 80.8%-87.5%), positive percent agreement (PPA) of 88.5% (95% CI, 81.3%-93.2%), negative percent agreement (NPA) of 83.1% (95% CI, 78.7%-86.7%), positive predictive value of 64.1% (95% CI, 56.3%-71.2%), and negative predictive value of 95.5% (95% CI, 92.4%-97.3%). The test showed excellent agreement with a previously developed BioFire HR-B/V test, with 100% (95% CI, 85.7%-100.0%) PPA and 94.9% (95% CI, 86.1%-98.3%) NPA for bacterial infection, and 100% (95% CI, 93.9%-100.0%) PPA and 100% (95% CI, 85.7%-100.0%) NPA for viral infection. Among subjects with acute severe acute respiratory syndrome coronavirus 2 infection of ≤7 days, accuracy was 93.3% (95% CI, 78.7%-98.2%) for 30 outpatients and 75.9% (95% CI, 57.9%-87.8%) for 29 inpatients.</p><p><strong>Conclusions: </strong>The Biomeme HR-B/V test is a rapid, portable test with high performance at identifying patients unlikely to have bacterial infection, offering a promising antibiotic stewardship strategy that could be deployed as a portable, laboratory-based test.</p>","PeriodicalId":19517,"journal":{"name":"Open Forum Infectious Diseases","volume":"12 1","pages":"ofae729"},"PeriodicalIF":3.8000,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11697109/pdf/","citationCount":"0","resultStr":"{\"title\":\"A Rapid Host Response Blood Test for Bacterial/Viral Infection Discrimination Using a Portable Molecular Diagnostic Platform.\",\"authors\":\"Maria D Iglesias-Ussel, Nicholas O'Grady, Jack Anderson, Paul G Mitsis, Thomas W Burke, Ricardo Henao, Joseph Scavetta, Clare Camilleri, Sepideh Naderi, Amanda Carittini, Max Perelman, Rachel A Myers, Geoffrey S Ginsburg, Emily R Ko, Micah T McClain, Jesse van Westrienen, Ephraim L Tsalik, L Gayani Tillekeratne, Christopher W Woods\",\"doi\":\"10.1093/ofid/ofae729\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Difficulty discriminating bacterial versus viral etiologies of infection drives unwarranted antibacterial prescriptions and, therefore, antibacterial resistance.</p><p><strong>Methods: </strong>Utilizing a rapid portable test that measures peripheral blood host gene expression to discriminate bacterial and viral etiologies of infection (the HR-B/V assay on Biomeme's polymerase chain reaction-based Franklin platform), we tested 3 cohorts of subjects with suspected infection: the HR-B/V training cohort, the HR-B/V technical correlation cohort, and a coronavirus disease 2019 cohort.</p><p><strong>Results: </strong>The Biomeme HR-B/V test showed very good performance at discriminating bacterial and viral infections, with a bacterial model accuracy of 84.5% (95% confidence interval [CI], 80.8%-87.5%), positive percent agreement (PPA) of 88.5% (95% CI, 81.3%-93.2%), negative percent agreement (NPA) of 83.1% (95% CI, 78.7%-86.7%), positive predictive value of 64.1% (95% CI, 56.3%-71.2%), and negative predictive value of 95.5% (95% CI, 92.4%-97.3%). The test showed excellent agreement with a previously developed BioFire HR-B/V test, with 100% (95% CI, 85.7%-100.0%) PPA and 94.9% (95% CI, 86.1%-98.3%) NPA for bacterial infection, and 100% (95% CI, 93.9%-100.0%) PPA and 100% (95% CI, 85.7%-100.0%) NPA for viral infection. 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A Rapid Host Response Blood Test for Bacterial/Viral Infection Discrimination Using a Portable Molecular Diagnostic Platform.
Background: Difficulty discriminating bacterial versus viral etiologies of infection drives unwarranted antibacterial prescriptions and, therefore, antibacterial resistance.
Methods: Utilizing a rapid portable test that measures peripheral blood host gene expression to discriminate bacterial and viral etiologies of infection (the HR-B/V assay on Biomeme's polymerase chain reaction-based Franklin platform), we tested 3 cohorts of subjects with suspected infection: the HR-B/V training cohort, the HR-B/V technical correlation cohort, and a coronavirus disease 2019 cohort.
Results: The Biomeme HR-B/V test showed very good performance at discriminating bacterial and viral infections, with a bacterial model accuracy of 84.5% (95% confidence interval [CI], 80.8%-87.5%), positive percent agreement (PPA) of 88.5% (95% CI, 81.3%-93.2%), negative percent agreement (NPA) of 83.1% (95% CI, 78.7%-86.7%), positive predictive value of 64.1% (95% CI, 56.3%-71.2%), and negative predictive value of 95.5% (95% CI, 92.4%-97.3%). The test showed excellent agreement with a previously developed BioFire HR-B/V test, with 100% (95% CI, 85.7%-100.0%) PPA and 94.9% (95% CI, 86.1%-98.3%) NPA for bacterial infection, and 100% (95% CI, 93.9%-100.0%) PPA and 100% (95% CI, 85.7%-100.0%) NPA for viral infection. Among subjects with acute severe acute respiratory syndrome coronavirus 2 infection of ≤7 days, accuracy was 93.3% (95% CI, 78.7%-98.2%) for 30 outpatients and 75.9% (95% CI, 57.9%-87.8%) for 29 inpatients.
Conclusions: The Biomeme HR-B/V test is a rapid, portable test with high performance at identifying patients unlikely to have bacterial infection, offering a promising antibiotic stewardship strategy that could be deployed as a portable, laboratory-based test.
期刊介绍:
Open Forum Infectious Diseases provides a global forum for the publication of clinical, translational, and basic research findings in a fully open access, online journal environment. The journal reflects the broad diversity of the field of infectious diseases, and focuses on the intersection of biomedical science and clinical practice, with a particular emphasis on knowledge that holds the potential to improve patient care in populations around the world. Fully peer-reviewed, OFID supports the international community of infectious diseases experts by providing a venue for articles that further the understanding of all aspects of infectious diseases.