@article{SonnenscheinvanderVoortArendsdeJongsteetal.2014,
  author    = {Sonnenschein-van der Voort, Agnes M. M. and Arends, Lidia R. and de Jongste, Johan C. and Annesi-Maesano, Isabella and Arshad, S. Hasan and Barros, Henrique and Basterrechea, Mikel and Bisgaard, Hans and Chatzi, Leda and Corpeleijn, Eva and Correia, Sofia and Craig, Leone C. and Devereux, Graham and Dogaru, Cristian and Dostal, Miroslav and Duchen, Karel and Eggesb{\o}, Merete and van der Ent, C. Kors and Fantini, Maria P. and Forastiere, Francesco and Frey, Urs and Gehring, Ulrike and Gori, Davide and van der Gugten, Anne C. and Hanke, Wojciech and Henderson, A. John and Heude, Barbara and I{\~n}iguez, Carmen and Inskip, Hazel M. and Keil, Thomas and Kelleher, Cecily C. and Kogevinas, Manolis and Kreiner-M{\o}ller, Eskil and Kuehni, Claudia E. and K{\"u}pers, Leanne K. and Lancz, Kinga and Larsen, Pernille S. and Lau, Susanne and Ludvigsson, Johnny and Mommers, Monique and Andersen, Anne-Marie Nybo and Palkovicova, Lubica and Pike, Katherine C. and Pizzi, Constanza and Polanska, Kinga and Porta, Daniela and Richiardi, Lorenzo and Roberts, Graham and Schmidt, Anne and Sram, Radim J. and Sunyer, Jordi and Thijs, Carel and Torrent, Maties and Viljoen, Karien and Wijga, Alet H. and Vrijheid, Martine and Jaddoe, Vincent W. V. and Duijts, Liesbeth},
  title     = {Preterm birth, infant weight gain, and childhood asthma risk: A meta-analysis of 147,000 European children},
  series = {The Journal of Allergy and Clinical Immunology},
  volume    = {133},
  journal   = {The Journal of Allergy and Clinical Immunology},
  number    = {5},
  doi       = {10.1016/j.jaci.2013.12.1082},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-120714},
  pages     = {1317-29},
  year      = {2014},
  abstract  = {Background Preterm birth, low birth weight, and infant catch-up growth seem associated with an increased risk of respiratory diseases in later life, but individual studies showed conflicting results. Objectives We performed an individual participant data meta-analysis for 147,252 children of 31 birth cohort studies to determine the associations of birth and infant growth characteristics with the risks of preschool wheezing (1-4 years) and school-age asthma (5-10 years). Methods First, we performed an adjusted 1-stage random-effect meta-analysis to assess the combined associations of gestational age, birth weight, and infant weight gain with childhood asthma. Second, we performed an adjusted 2-stage random-effect meta-analysis to assess the associations of preterm birth (gestational age <37 weeks) and low birth weight (<2500 g) with childhood asthma outcomes. Results Younger gestational age at birth and higher infant weight gain were independently associated with higher risks of preschool wheezing and school-age asthma (P < .05). The inverse associations of birth weight with childhood asthma were explained by gestational age at birth. Compared with term-born children with normal infant weight gain, we observed the highest risks of school-age asthma in children born preterm with high infant weight gain (odds ratio [OR], 4.47; 95\% CI, 2.58-7.76). Preterm birth was positively associated with an increased risk of preschool wheezing (pooled odds ratio [pOR], 1.34; 95\% CI, 1.25-1.43) and school-age asthma (pOR, 1.40; 95\% CI, 1.18-1.67) independent of birth weight. Weaker effect estimates were observed for the associations of low birth weight adjusted for gestational age at birth with preschool wheezing (pOR, 1.10; 95\% CI, 1.00-1.21) and school-age asthma (pOR, 1.13; 95\% CI, 1.01-1.27). Conclusion Younger gestational age at birth and higher infant weight gain were associated with childhood asthma outcomes. The associations of lower birth weight with childhood asthma were largely explained by gestational age at birth."},
  language  = {en}
}
@article{GrabenhenrichReichFischeretal.2014,
  author    = {Grabenhenrich, Linus B. and Reich, Andreas and Fischer, Felix and Zepp, Fred and Forster, Johannes and Schuster, Antje and Bauer, Carl-Peter and Bergmann, Renate L. and Bergmann, Karl E. and Wahn, Ulrich and Keil, Thomas and Lau, Susanne},
  title     = {The Novel 10-Item Asthma Prediction Tool: External Validation in the German MAS Birth Cohort},
  series = {PLOS ONE},
  volume    = {9},
  journal   = {PLOS ONE},
  number    = {12},
  issn      = {1932-6203},
  doi       = {10.1371/journal.pone.0115852},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-114202},
  pages     = {e115852},
  year      = {2014},
  abstract  = {Background: A novel non-invasive asthma prediction tool from the Leicester Cohort, UK, forecasts asthma at age 8 years based on 10 predictors assessed in early childhood, including current respiratory symptoms, eczema, and parental history of asthma. Objective: We aimed to externally validate the proposed asthma prediction method in a German birth cohort. Methods: The MAS-90 study (Multicentre Allergy Study) recorded details on allergic diseases prospectively in about yearly follow-up assessments up to age 20 years in a cohort of 1,314 children born 1990. We replicated the scoring method from the Leicester cohort and assessed prediction, performance and discrimination. The primary outcome was defined as the combination of parent-reported wheeze and asthma drugs (both in last 12 months) at age 8. Sensitivity analyses assessed model performance for outcomes related to asthma up to age 20 years. Results: For 140 children parents reported current wheeze or cough at age 3 years. Score distribution and frequencies of later asthma resembled the Leicester cohort: 9\% vs. 16\% (MAS-90 vs. Leicester) of children at low risk at 3 years had asthma at 8 years, at medium risk 45\% vs. 48\%. Performance of the asthma prediction tool in the MAS-90 cohort was similar (Brier score 0.22 vs. 0.23) and discrimination slightly better than in the original cohort (area under the curve, AUC 0.83 vs. 0.78). Prediction and discrimination were robust against changes of inclusion criteria, scoring and outcome definitions. The secondary outcome 'physicians' diagnosed asthma at 20 years' showed the highest discrimination (AUC 0.89). Conclusion: The novel asthma prediction tool from the Leicester cohort, UK, performed well in another population, a German birth cohort, supporting its use and further development as a simple aid to predict asthma risk in clinical settings.},
  language  = {en}
}