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5 results on '"Jobsis, Q."'

2. Biomarkers in Exhaled Breath Condensate Are Not Predictive for Pulmonary Exacerbations in Children with Cystic Fibrosis : Results of a One-Year Observational Study

Author

van Horck, M, Alonso Abad, Ariel, Wesseling, G, de Winter, K, de Groot, K, van Aalderen, W, Hendriks, H, Winkens, B, Rijkers, G, Jobsis, Q, Dompeling, E, MUMC+: MA Arts Assistenten Kindergeneeskunde (9), Promovendi PHPC, Kindergeneeskunde, Pulmonologie, MUMC+: MA Med Staf Spec Longziekten (9), FHML Methodologie & Statistiek, RS: CAPHRI - R6 - Promoting Health & Personalised Care, MUMC+: MA Medische Staf Kindergeneeskunde (9), AII - Amsterdam institute for Infection and Immunity, and Paediatric Pulmonology

Subjects
Male, Pathology, Cystic Fibrosis, Physiology, lcsh:Medicine, Pathology and Laboratory Medicine, Biochemistry, Pediatrics, Cystic fibrosis, Gastroenterology, Pulmonary function testing, Families, Mathematical and Statistical Techniques, 0302 clinical medicine, Quality of life, Antibiotics, Medicine and Health Sciences, Exhaled breath condensate, 030212 general & internal medicine, Child, lcsh:Science, Non-U.S. Gov't, Immune Response, Children, Multidisciplinary, Antimicrobials, Research Support, Non-U.S. Gov't, Area under the curve, Drugs, Body Fluids, Breath Tests, Child, Preschool, Physical Sciences, Female, Anatomy, medicine.symptom, Statistics (Mathematics), Research Article, medicine.medical_specialty, Adolescent, Inflammatory Diseases, Immunology, Observational Study, Research and Analysis Methods, Research Support, Microbiology, 03 medical and health sciences, Signs and Symptoms, Diagnostic Medicine, Microbial Control, Internal medicine, medicine, Journal Article, Humans, Statistical Methods, Adverse effect, Inflammation, Pharmacology, Receiver operating characteristic, business.industry, lcsh:R, Sputum, Biology and Life Sciences, medicine.disease, respiratory tract diseases, Mucus, 030228 respiratory system, Age Groups, People and Places, Population Groupings, lcsh:Q, business, Biomarkers, Mathematics, Forecasting
Abstract

BACKGROUND: Cystic Fibrosis (CF) is characterized by chronically inflamed airways, and inflammation even increases during pulmonary exacerbations. These adverse events have an important influence on the well-being, quality of life, and lung function of patients with CF. Prediction of exacerbations by inflammatory markers in exhaled breath condensate (EBC) combined with early treatment may prevent these pulmonary exacerbations and may improve the prognosis. AIM: To investigate the diagnostic accuracy of a set of inflammatory markers in EBC to predict pulmonary exacerbations in children with CF. METHODS: In this one-year prospective observational study, 49 children with CF were included. During study visits with an interval of 2 months, a symptom questionnaire was completed, EBC was collected, and lung function measurements were performed. The acidity of EBC was measured directly after collection. Inflammatory markers interleukin (IL)-6, IL-8, tumor necrosis factor α (TNF-α), and macrophage migration inhibitory factor (MIF) were measured using high sensitivity bead based flow immunoassays. Pulmonary exacerbations were recorded during the study and were defined in two ways. The predictive power of inflammatory markers and the other covariates was assessed using conditionally specified models and a receiver operating characteristic curve (SAS version 9.2). In addition, k-nearest neighbors (KNN) algorithm was applied (SAS version 9.2). RESULTS: Sixty-five percent of the children had one or more exacerbations during the study. The conditionally specified models showed an overall correct prediction rate of 55%. The area under the curve (AUC) was equal to 0.62. The results obtained with the KNN algorithm were very similar. CONCLUSION: Although there is some evidence indicating that the predictors outperform random guessing, the general diagnostic accuracy of EBC acidity and the EBC inflammatory markers IL-6, IL-8, TNF-α and MIF is low. At present it is not possible to predict pulmonary exacerbations in children with CF with the chosen biomarkers and the method of EBC analysis. The biochemical measurements of EBC markers should be improved and other techniques should be considered. ispartof: PLoS One vol:11 issue:4 ispartof: location:United States status: published

Published
2016

3. Controlled low flow off line sampling of exhaled nitric oxide in children

Author

Jobsis, Q, Raatgeep, H C., J Hop, W C., and de Jongste, J C.

Subjects
Respiration -- Measurement, Nitric oxide -- Measurement, Health
Abstract

Abstract Background--The aim of this study was to validate exhaled nitric oxide (eNO) values obtained with an alternative off line, single breath, low flow balloon sampling method against on line [...]

Published
2001

5. Profiling of volatile organic compounds in exhaled breath as a strategy to find early predictive signatures of asthma in children.

Author

Smolinska A, Klaassen EM, Dallinga JW, van de Kant KD, Jobsis Q, Moonen EJ, van Schayck OC, Dompeling E, and van Schooten FJ

Subjects
Asthma physiopathology, Child, Child, Preschool, Discriminant Analysis, Female, Gas Chromatography-Mass Spectrometry, Humans, Least-Squares Analysis, Male, Principal Component Analysis, ROC Curve, Respiratory Sounds diagnosis, Asthma diagnosis, Breath Tests methods, Exhalation, Volatile Organic Compounds analysis
Abstract

Wheezing is one of the most common respiratory symptoms in preschool children under six years old. Currently, no tests are available that predict at early stage who will develop asthma and who will be a transient wheezer. Diagnostic tests of asthma are reliable in adults but the same tests are difficult to use in children, because they are invasive and require active cooperation of the patient. A non-invasive alternative is needed for children. Volatile Organic Compounds (VOCs) excreted in breath could yield such non-invasive and patient-friendly diagnostic. The aim of this study was to identify VOCs in the breath of preschool children (inclusion at age 2-4 years) that indicate preclinical asthma. For that purpose we analyzed the total array of exhaled VOCs with Gas Chromatography time of flight Mass Spectrometry of 252 children between 2 and 6 years of age. Breath samples were collected at multiple time points of each child. Each breath-o-gram contained between 300 and 500 VOCs; in total 3256 different compounds were identified across all samples. Using two multivariate methods, Random Forests and dissimilarity Partial Least Squares Discriminant Analysis, we were able to select a set of 17 VOCs which discriminated preschool asthmatic children from transient wheezing children. The correct prediction rate was equal to 80% in an independent test set. These VOCs are related to oxidative stress caused by inflammation in the lungs and consequently lipid peroxidation. In conclusion, we showed that VOCs in the exhaled breath predict the subsequent development of asthma which might guide early treatment.

Published
2014
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