Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractThe mechanism of selective molecular capture in carbon nanotube networks    Next AbstractThe first assessment of the stress inducible defense of Leucaena leucocephala with acaricidal potential effect against Rhipicephalus (Boophilus) microplus (Acari: Ixodidae) »

Curr Opin Allergy Clin Immunol


Title:Identification of infants and preschool children at risk for asthma: predictive scores and biomarkers
Author(s):Wandalsen GF; Sole D; Bacharier LB;
Address:"aFederal University of Sao Paulo, Sao Paulo, Brazil bWashington University School of Medicine and St Louis Children's Hospital, St Louis, Missouri, USA"
Journal Title:Curr Opin Allergy Clin Immunol
Year:2016
Volume:16
Issue:2
Page Number:120 - 126
DOI: 10.1097/ACI.0000000000000240
ISSN/ISBN:1473-6322 (Electronic) 1473-6322 (Linking)
Abstract:"PURPOSE OF REVIEW: Predictive asthma scores and biomarkers are important tools that help many physicians in the identification of infants and preschool children at high risk for asthma. Our objective was to review recent data regarding this subject. RECENT FINDINGS: Recently, two new predictive asthma scores were developed with some innovative features, such as the definition of scales of asthma risk. In a systematic review, 12 asthma-predictive models were identified with heterogeneous performance. Prospective studies have shown that elevated fractional concentration of nitric oxide (FeNO) is a strong risk factor for latter asthma among early wheezers, and a predictive asthma score with FeNO values has been proposed. Plasma cytokines and exhaled volatile organic compounds were also identified as potential asthma predictors. SUMMARY: Predictive scores are simple, practical, and inexpensive tools to identify children at high risk for asthma at school age. Whereas some scores are better at identifying asthmatic children, others are better at excluding the diagnosis of asthma. Although promising, clear evidence for FeNO as a robust asthma predictor in comparison to clinical scores is still lacking. Specific IgE and eosinophil counts remain the most consistent biomarkers for the identification of children at risk for asthma, and further studies are necessary to clarify the role of other biomarkers"
Keywords:"Animals Asthma/*diagnosis/epidemiology Biomarkers/*analysis Child, Preschool Eosinophils/pathology Humans Immunoglobulin E/blood Infant Nitric Oxide/*analysis Predictive Value of Tests Prognosis Research Design Risk Severity of Illness Index;"
Notes:"MedlineWandalsen, Gustavo F Sole, Dirceu Bacharier, Leonard B eng Review Systematic Review 2016/01/26 Curr Opin Allergy Clin Immunol. 2016 Apr; 16(2):120-6. doi: 10.1097/ACI.0000000000000240"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 24-12-2024