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Showing results for "aboriginal respiratory"
Research
Lung function in African infants: A pilot studyUnsedated infant lung function measures of tidal breathing, MBW, and eNO are feasible in a semi-rural African setting
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Does machine learning have a role in the prediction of asthma in children?Asthma is the most common chronic lung disease in childhood. There has been a significant worldwide effort to develop tools/methods to identify children's risk for asthma as early as possible for preventative and early management strategies. Unfortunately, most childhood asthma prediction tools using conventional statistical models have modest accuracy, sensitivity, and positive predictive value.
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Evaluating hypoxia during air travel in healthy infantsUp to a third of ex-preterm infants flying near term exhibit pulse oxygen saturation (SpO2) of less than 85% during air travel.
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Survey of clinical infant lung function testing practicesTo evaluate current ILF testing practices and to survey users regarding the indications, limitations and perceived clinical benefits of ILF testing.
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Pulmonary diffusing capacity in healthy Caucasian childrenPrevious studies of pulmonary diffusing capacity in children differed greatly in methodologies; numbers of subjects evaluated, and were performed prior to...
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The association between Staphylococcus aureus and subsequent bronchiectasis in children with cystic fibrosisDe novo S. aureus acquisition at age 3 is associated with later bronchiectasis and FEF25-75 in children with CF
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PREDICT CF: Assessing the role of lung clearance index in predicting disease progression in children with cystic fibrosisThere is increasing evidence that the assessment of ventilation distribution using the multiple breath washout (MBW) technique is sensitive to changes in disease status of children with cystic fibrosis.
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Standardization of Spirometry 2019 Update. An Official American Thoracic Society and European Respiratory Society Technical StatementStandards and consensus recommendations are presented for manufacturers, clinicians, operators, and researchers
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Normative multiple-breath washout data in school-aged children corrected for sensor errorGraham Kathryn Rachel Alana Hall Ramsey Foong Harper BAppSci PhD CRFS FANZSRS FThorSoc FERS BSc (Hons), PhD BSc (hons), PhD, MBiostat BSc (hons)
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Personalised, machine learning based prediction of asthma in childrenThis 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.