prognostic modelling; asthma; childhood; wheeze; cough; phenotype; prediction tool
Ardura-Garcia Cristina, Cuevas-Ocaña Sara, Freitag Nadine, Kampouras Asterios, King John A., Kouis Panayiotis, Mensink-Bout Sara M., Whitehouse Abigail L., Williams Emma, Dassios Theodore, Duijts Liesbeth, Ersu Refika H, Gaillard Erol A., Horsley Alex R., Proesmans Marijke, Rottier Robbert, Schramm Dirk, Moeller Alexander, Pijnenburg Marielle W. (2021), ERS International Congress 2020: highlights from the Paediatric Assembly, in ERJ Open Research
, 7, 00893-2020.
Pedersen Eva S.L., de Jong Carmen C.M., Ardura-Garcia Cristina, Mallet Maria Christina, Barben Juerg, Casaulta Carmen, Hoyler Karin, Jochmann Anja, Moeller Alexander, Mueller-Suter Dominik, Regamey Nicolas, Singer Florian, Goutaki Myrofora, Kuehni Claudia E. (2021), Reported Symptoms Differentiate Diagnoses in Children with Exercise-Induced Respiratory Problems: Findings from the Swiss Paediatric Airway Cohort (SPAC), in The Journal of Allergy and Clinical Immunology: In Practice
, 9(2), 881-889.e3.
Mozun Rebeca, Ardura-Garcia Cristina, Pedersen Eva S. L., Goutaki Myrofora, Usemann Jakob, Singer Florian, Latzin Philipp, Moeller Alexander, Kuehni Claudia E. (2021), Agreement of parent‐ and child‐reported wheeze and its association with measurable asthma traits, in Pediatric Pulmonology
Pedersen Eva S. L., Ardura-Garcia Cristina, Jong Carmen C. M., Jochmann Anja, Moeller Alexander, Mueller-Suter Dominik, Regamey Nicolas, Singer Florian, Goutaki Myrofora, Kuehni Claudia E. (2021), Diagnosis in children with exercise‐induced respiratory symptoms: A multi‐center study, in Pediatric Pulmonology
, 56(1), 217-225.
Ardura-Garcia Cristina, Pedersen Eva SL., Mallet Maria Christina, Jong Carmen CM. de, Barben Juerg, Jochmann Anja, Jung Andreas, Mueller-Suter Dominik, Regamey Nicolas, Singer Florian, Kuehni Claudia E. (2021), Treatment decisions in children with asthma in a real-life clinical setting: the Swiss Paediatric Airway Cohort (SPAC), in The Journal of Allergy and Clinical Immunology: In Practice
de Jong Carmen CM., Pedersen Eva SL., Mozun Rebeca, Müller-Suter Dominik, Jochmann Anja, Singer Florian, Casaulta Carmen, Regamey Nicolas, Moeller Alexander, Ardura-Garcia Cristina, Kuehni Claudia E (2020), Diagnosis of asthma in children: findings from the Swiss Paediatric Airway Cohort, in European Respiratory Journal
Ardura-Garcia Cristina, Mozun Rebeca, Pedersen Eva S.L., Otth Maria, Mallet Maria Christina, Goutaki Myrofora, Kuehni Claudia E. (2020), Paediatric cohort studies on lower respiratory diseases and their reporting quality: systematic review of the year 2018, in European Respiratory Journal
Mozun Rebeca, Ardura-Garcia Cristina, Jong Carmen C. M., Goutaki Myrofora, Usemann Jakob, Singer Florian, Latzin Philipp, Kuehni Claudia E., Moeller Alexander (2020), Cigarette, shisha, and electronic smoking and respiratory symptoms in Swiss children: The LUIS study, in Pediatric Pulmonology
, 55, 2806-2815.
de Jong Carmen C.M., Pedersen Eva S.L., Mozun Rebeca, Goutaki Myrofora, Trachsel Daniel, Barben Juerg, Kuehni Claudia E. (2019), Diagnosis of asthma in children: the contribution of a detailed history and test results, in European Respiratory Journal
, 54(6), 1901326-1901326.
Mozun Rebeca, Pedersen Eva S.L., Ardura-Garcia Cristina (2019), Does high-flow oxygen reduce escalation of care in infants with hypoxaemic bronchiolitis?, in Breathe
, 15(3), 247-249.
Pedersen Eva SL, de Jong Carmen CM (2019), Addressing selection bias in diagnostic accuracy studies, in Pediatrics International
, 61(8), 840-840.
Ardura-Garcia Cristina, Kuehni Claudia E. (2019), Reducing childhood respiratory morbidity and mortality in low and middle income countries: a current challenge, in European Respiratory Journal
, 54(1), 1900987-1900987.
Jong Carmen C. M., Pedersen Eva SL., Goutaki Myrofora, Trachsel Daniel, Barben Juerg, Kuehni Claudia E. (2019), Do clinical investigations predict long‐term wheeze? A follow‐up of pediatric respiratory outpatients, in Pediatric Pulmonology
Pedersen Eva S.L., Spycher Ben D., de Jong Carmen C.M., Halbeisen Florian, Ramette Alban, Gaillard Erol A., Granell Raquel, Henderson A. John, Kuehni Claudia E. (2019), The Simple 10-Item Predicting Asthma Risk in Children Tool to Predict Childhood Asthma—An External Validation, in The Journal of Allergy and Clinical Immunology: In Practice
, 7(3), 943-953.e4.
Pedersen Eva S.L., de Jong Carmen C.M., Ardura-Garcia Cristina, Barben Juerg, Casaulta Carmen, Frey Urs, Jochmann Anja, Latzin Philipp, Moeller Alexander, Regamey Nicolas, Singer Florian, Spycher Ben, Sutter Oliver, Goutaki Myrofora, Kuehni Claudia E. (2018), The Swiss Paediatric Airway Cohort (SPAC), in ERJ Open Research
, 4(4), 00050-2018-00050-2018.
Gorlanova O., Illi S., Toncheva A. A., Usemann J., Latzin P., Kabesch M., Dalphin J.-C., Lauener R., Pekkanen J. R., Von Mutius E., Riedler J., Kuehni C. E., Röösli M., Frey U. (2018), Protective effects of breastfeeding on respiratory symptoms in infants with 17q21 asthma risk variants, in Allergy
, 73(12), 2388-2392.
This proposal builds on our previous work on phenotypes and prognostic modelling in childhood asthma, but shifts focus from population-based to clinical datasets. The Swiss Paediatric Asthma Cohort (SPAC) is a collaborative project of paediatric teaching hospitals with close links to a Swiss Personalized Health Network (SPHN) infrastructure development project. Data from hospital records are combined with data reported by patients via questionnaires and mobile phones to understand the factors determining short-term and long-term prognosis of asthma and related disorders in childhood. Background: Asthma is the most common chronic disease in children. Diagnosing asthma in early childhood is difficult and considerably more children affected by asthma-related symptoms than are given a diagnosis. Although recent research on phenotypes of wheeze and cough has shed new light on the heterogeneity of childhood asthma, it remains unclear how phenotypes evolve as children grow older. Both the exacerbations of asthma in the short term and its remission or persistence in the long term are still poorly understood. Using population based cohort studies, several groups including ours have developed prognostic models to aid physicians in the long-term prediction of children's risk for asthma. However, the performance of these models is only moderate and their utility in clinical practice has not been tested. How routine diagnostic tests such as spirometry, allergy tests, exhaled nitric oxide, and bronchial challenges contribute to predicting disease course remains particularly unclear. Objectives: The project will use data from several birth cohorts and a large clinical cohort study to1.Explore the variability of asthma phenotypes over time and with age.2.Improve prediction tools for long-term outcomes of childhood asthma.3.Identify determinants of short-term disease course and asthma control.Methods: We will analyse data from population-based cohort studies, namely the Leicester Respiratory Cohorts (LRC; in 1990, N=1,650 and in 1998, N=8,700), the Bern-Basel Infant Lung Development (BILD) cohort (N=837), and the Avon Longitudinal Study of Parents and Children (ALSPAC, N=7,000) and data from a clinical cohort, the Swiss Paediatric Airway Cohort. SPAC includes children referred to respiratory outpatient clinics of tertiary care paediatric hospitals in Switzerland for evaluation of wheeze, chronic cough, and exercise- or sleep-related respiratory symptoms. In March 2108, SPAC included 347 patients. Increasing recruitment rates (currently 70-80 per month) will result in an estimated 1000 participants by Dec 2018 and 3400 by Dec 2020. Baseline data include extended questionnaires plus results of all investigations done in the clinic. Measurements are being standardised nationally in an ongoing SPHN project to harmonize paediatric datasets across Swiss hospitals. Outcomes will be assessed via annual questionnaires for parents and, beginning 2019, monthly diaries collected through an interactive web application. We will analyse the data using state-of the art statistical modelling approaches including latent transition analyses to model trajectories of change in phenotypes as children grow older and penalized logistic regression to develop prognostic models. EQUATOR guidelines will be followed in the external validation and reporting of results.Output and significance: The project uniquely combines the strengths of population-based and clinical studies to better understand phenotypic variability and disease course of childhood asthma and be directly relevant to patient care. It will establish and exploit a nationwide, longitudinal dataset combining standardised data from clinics, parents, routine diagnostic testing, and regular follow-up. The project outcomes will include clinical prediction tools to assist to assist forecasting asthma exacerbations and emergency consultations, and long-term risks of disease persistence. Together with improved characterisation of clinical phenotypes, this will facilitate optimising treatment of high-risk children while at the same time reducing overtreatment of those at low risk.