Predictive gene expression signature diagnoses neonatal sepsis before clinical presentation
Open Access
- 29 October 2024
- journal article
- research article
- Published by Elsevier in EBioMedicine
- Vol. 110, 105411
Abstract
No abstract availableKeywords
Funding Information
- Canada Foundation for Innovation
- National Institutes of Health
- Medical Research Council Canada
- Boston Children's Hospital
- American Academy of Pediatrics
- Canadian Institutes of Health Research
- National Institute of Allergy and Infectious Diseases (U19AI118608)
- National Institute of Allergy and Infectious Diseases (U19AI168643)
This publication has 64 references indexed in Scilit:
- Effect of Intrapartum Azithromycin vs Placebo on Neonatal Sepsis and DeathJAMA, 2023
- Presepsin for the Diagnosis of Neonatal Early-Onset SepsisJAMA Pediatrics, 2022
- Predicting sepsis severity at first clinical presentation: The role of endotypes and mechanistic signaturesEBioMedicine, 2022
- Prediction modelling in the early detection of neonatal sepsisWorld Journal of Pediatrics, 2022
- Biomarkers for the Diagnosis of Neonatal SepsisClinics in Perinatology, 2021
- The immunologic Warburg effect: Evidence and therapeutic opportunities in autoimmunityWIREs Mechanisms of Disease, 2020
- Sensitivity of the Kaiser Permanente early-onset sepsis calculator: A systematic review and meta-analysiseClinicalMedicine, 2020
- Soluble TREM-1 as a predictive factor of neonatal sepsis: a meta-analysisInflammation Research, 2018
- The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)JAMA, 2016
- Physiology of Transition from Intrauterine to Extrauterine LifeClinics in Perinatology, 2012