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Showing results for "early lung health"

Developing sensitive endpoints for respiratory disease progression in children with neuromuscular disease

We hope that through earlier diagnosis and treatment of muscle weakness during sleep, we can prevent future lung failure in children with neuromuscular disorders.

Previous Influenza Infection Exacerbates Allergen Specific Response and Impairs Airway Barrier Integrity in Pre-Sensitized Mice

In this study we assessed the effects of antigen exposure in mice pre‐sensitized with allergen following viral infection on changes in lung function, cellular responses and tight junction expression.

Predicting disease progression in cystic fibrosis

Comprehensive scores incorporating clinical, lung function, imaging and laboratory data will become essential in the future for predicting disease progression and for use in clinical trials

Key paediatric messages from Amsterdam

Key messages from the abstracts presented at the European Respiratory Society International Congress

Long-term medical and psychosocial outcomes in congenital diaphragmatic hernia survivors

Survivors of CDH may have significant adverse long-term medical and psychosocial issues that would be better recognised and managed in a multidisciplinary clinic

Respiratory function in healthy Emirati children using forced oscillations

Forced oscillation technique measurements were feasible in Emirati school-children. New forced oscillation technique reference equation in Emirati children were derived.

Is forced oscillation technique the next respiratory function test of choice in childhood asthma

While spirometry contributes to asthma diagnosis and management in older children, it has a limited role in younger children whom are unable to perform FOM.

An Official ATS/ERS Workshop Report: Evaluation of Respiratory Mechanics and Function in the Pediatric and Neonatal Intensive Care Units

This report summarizes techniques available for ventilated and spontaneously breathing infants and children in the ICU

The all-age spirometry reference ranges reflect contemporary Australasian spirometry

Advances in statistical modelling have allowed the creation of smoothly changing spirometry reference ranges that apply across a wide age range and better...

Personalised, machine learning based prediction of asthma in children

This study aims to show that asthma and allergies in individuals can be predicted before it occurs based on individual family history and information on the early environment.