Association of RNA Biosignatures With Bacterial Infections in Febrile Infants Aged 60 Days or Younger
| Autor: | Deborah Levine, Melissa A. Vitale, Bema K. Bonsu, Jonathan E. Bennett, Andrea T. Cruz, Lise E. Nigrovic, Richard M. Ruddy, J. Michael Dean, Elizabeth R. Alpern, Kathleen Lillis, David M. Jaffe, Jennifer Anders, Anne F. Brayer, Genie Roosevelt, Ellen F. Crain, Nathan Kuppermann, Daniel M. Cohen, Bennett Smith, Leah Tzimenatos, Asuncion Mejias, Michael G. Tunik, John D. Hoyle, Elizabeth C. Powell, Richard Greenberg, Octavio Ramilo, Mary Saunders, Prashant Mahajan, Rajender Gattu, T. Charles Casper, Alexander J. Rogers, Shireen M. Atabaki, Lorin R. Browne, Stephen Blumberg, Damien Chaussabel, Jared T. Muenzer, Peter S. Dayan, James G. Linakis, Nicolás M. Suárez, Dominic A. Borgialli |
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| Rok vydání: | 2016 |
| Předmět: |
Pediatrics
medicine.medical_specialty Screening test business.industry Case-control study Routine laboratory RNA General Medicine medicine.disease 03 medical and health sciences 0302 clinical medicine 030225 pediatrics Infection type Bacteremia medicine 030212 general & internal medicine Prospective cohort study business Meningitis |
| Zdroj: | JAMA. 316:846 |
| ISSN: | 0098-7484 |
| DOI: | 10.1001/jama.2016.9207 |
| Popis: | Importance Young febrile infants are at substantial risk of serious bacterial infections; however, the current culture-based diagnosis has limitations. Analysis of host expression patterns (“RNA biosignatures”) in response to infections may provide an alternative diagnostic approach. Objective To assess whether RNA biosignatures can distinguish febrile infants aged 60 days or younger with and without serious bacterial infections. Design, Setting, and Participants Prospective observational study involving a convenience sample of febrile infants 60 days or younger evaluated for fever (temperature >38 ° C) in 22 emergency departments from December 2008 to December 2010 who underwent laboratory evaluations including blood cultures. A random sample of infants with and without bacterial infections was selected for RNA biosignature analysis. Afebrile healthy infants served as controls. Blood samples were collected for cultures and RNA biosignatures. Bioinformatics tools were applied to define RNA biosignatures to classify febrile infants by infection type. Exposure RNA biosignatures compared with cultures for discriminating febrile infants with and without bacterial infections and infants with bacteremia from those without bacterial infections. Main Outcomes and Measures Bacterial infection confirmed by culture. Performance of RNA biosignatures was compared with routine laboratory screening tests and Yale Observation Scale (YOS) scores. Results Of 1883 febrile infants (median age, 37 days; 55.7% boys), RNA biosignatures were measured in 279 randomly selected infants (89 with bacterial infections—including 32 with bacteremia and 190 without bacterial infections), and 19 afebrile healthy infants. Sixty-six classifier genes were identified that distinguished infants with and without bacterial infections in the test set with 87% (95% CI, 73%-95%) sensitivity and 89% (95% CI, 81%-93%) specificity. Ten classifier genes distinguished infants with bacteremia from those without bacterial infections in the test set with 94% (95% CI, 70%-100%) sensitivity and 95% (95% CI, 88%-98%) specificity. The incremental C statistic for the RNA biosignatures over the YOS score was 0.37 (95% CI, 0.30-0.43). Conclusions and Relevance In this preliminary study, RNA biosignatures were defined to distinguish febrile infants aged 60 days or younger with and without bacterial infections. Further research with larger populations is needed to refine and validate the estimates of test accuracy and to assess the clinical utility of RNA biosignatures in practice. |
| Databáze: | OpenAIRE |
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