1. A novel framework for phenotyping children with suspected or confirmed infection for future biomarker studies
- Author
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Nijman, Ruud G., Oostenbrink, Rianne, Moll, Henriette A., Casals-Pascual, Climent, von Both, Ulrich, Cunnington, Aubrey, De, Tisham, Eleftheriou, Irini, Emonts, Marieke, Fink, Colin, van der Flier, Michiel, de Groot, Ronald, Kaforou, Myrsini, Kohlmaier, Benno, Kuijpers, Taco W., Lim, Emma, Maconochie, Ian K., Paulus, Stephane, Martinon-Torres, Federico, Pokorn, Marko, Romaine, Sam T., Calle, Irene Rivero, Schlapbach, Luregn J., Smit, Frank J., Tsolia, Maria, Usuf, Effua, Wright, Victoria J., Yeung, Shunmay, Zavadska, Dace, Zenz, Werner, Levin, Michael, Herberg, Jethro A., Carrol, Enitan D., National Institute of Health and Medical Research, and European Commission
- Subjects
serious bacterial infection ,sepsis ,children ,biomarkers ,1114 Paediatrics and Reproductive Medicine ,Pediatrics ,clinical phenotypes ,Original Research ,1199 Other Medical and Health Sciences - Abstract
Background: The limited diagnostic accuracy of biomarkers in children at risk of a serious bacterial infection (SBI) might be due to the imperfect reference standard of SBI. We aimed to evaluate the diagnostic performance of a new classification algorithm for biomarker discovery in children at risk of SBI. Methods: We used data from five previously published, prospective observational biomarker discovery studies, which included patients aged 0–
- Published
- 2021