Phenotypes of childhood wheeze in Japanese children: A group‐based trajectory analysis. Issue 6 (5th June 2018)

• Record Type: Journal Article
• Authors: Yang, Limin; Narita, Masami; Yamamoto‐Hanada, Kiwako; Sakamoto, Naoko; Saito, Hirohisa; Ohya, Yukihiro
• Is Part Of: Pediatric allergy and immunology. Volume 29:Issue 6(2018)
• Page Start: 606
• Page End: 611
• Publication Date: 2018-06-05
• Subjects: asthma -- birth cohort -- phenotypes -- trajectory -- wheeze; Allergy in children -- Periodicals; Immunologic diseases in children -- Periodicals; 617
• DOI: 10.1111/pai.12917
• Languages: English
• ISSNs: 0905-6157

Abstract

Abstract: Background: Exploring patterns of childhood wheeze may help to clarify the etiology and prognosis of respiratory diseases. The purpose of this study was to classify phenotypes of wheezing in children up to 9 years of age in Japan and to evaluate the individual and environmental risk factors for these phenotypes. Methods: Wheeze was evaluated at approximately 1‐year intervals based on the mothers' recollection of their child's wheezing or whistling in the chest during the preceding 12 months. The children were aged 1‐9 years. In total, 1116 children who had at least five measures of wheezing at all nine time points were used for identifying trajectories. Trajectories were identified with group‐based trajectory analysis. A multinomial logit model was built to evaluate the relationships between phenotypes and risk factors. Results: Five typical trajectories were identified. The probability of group membership was 43.7%, 32.2%, 6.2%, 8.6%, and 9.2% for the never/infrequent wheeze, transient early wheeze, school‐age‐onset wheeze, early‐childhood‐onset remitting wheeze, and persistent wheeze trajectories, respectively. Infant tobacco exposure increased the odds of membership in the transient early wheeze trajectory compared to the never/infrequent wheeze trajectory. Conclusions: Using the group‐based trajectory modeling approach, we identified five trajectories of childhood wheeze development in a Japanese population. The trajectories shown here are based on formal statistical modeling rather than on subjective classification, and an assessment of its precision suggested that the model has high assignment accuracy.