Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Evaluation of bioMarkErs to Reduce Antibiotics Use in hospitalizeD nEonates

Hospices Civils de Lyon · 2017
ClinicalTrials.gov · Datasets · License: Public Domain · 2017
Open Source ↗
diagnosticnaneonatal-sepsisnewborn
Late-onset neonatal sepsis (LOS), occurring in newborn of at least 7 days of life, is frequently observed in Neonatal Intensive Care Units (NICUs) and potentially severe (mortality, neurologic and respiratory impairments). Despite its high prevalence, a reliable diagnostic remains difficult. Currently, nonspecific clinical signs that might be linked to other neonatal conditions, such as prematurity and birth defects are used to determine the diagnosis of LOS. Laboratory results of biological markers, such as C-Reactive Protein (CRP) and Procalcitonin (PCT) are often delayed in comparison with LOS onset. Blood culture results are too late and lack sensitivity. Excessive antibiotic use is observed in a large proportion of NICU hospitalized newborns. This results in an increased antibiotic resistance, microbiota modification, neonatal complications (pulmonary, ophthalmologic and neurologic) and mortality. The primary objective is to identify, on a cohort of 250 patients, the optimal biomarker combination with good diagnostic performance (i.e. with maximal Area Under the ROC Curve) to early exclude a LOS diagnostic in newborns of at least 7 days of life with suggestive signs. This identification will be carried out, as a secondary objective, with a sub-group of pre-term neonates whose birth weight is less than 1500 grams. The diagnostic value of the clinical signs that are suggestive of LOS will also be determined (sensitivity, specificity, negative and positive predictive values). Once identified, the biomarker combination is expected to reduce unjustified antibiotic use.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1086026
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive