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Title: Perinatal risk factors for wheezing phenotypes in the first 8 years of life. Author: Caudri D, Savenije OE, Smit HA, Postma DS, Koppelman GH, Wijga AH, Kerkhof M, Gehring U, Hoekstra MO, Brunekreef B, de Jongste JC. Journal: Clin Exp Allergy; 2013 Dec; 43(12):1395-405. PubMed ID: 24261948. Abstract: BACKGROUND: A novel data-driven approach was used to identify wheezing phenotypes in pre-schoolchildren aged 0-8 years, in the Prevention and Incidence of Asthma and Mite Allergy (PIAMA) birth cohort. Five phenotypes were identified: never/infrequent wheeze, transient early wheeze, intermediate onset wheeze, persistent wheeze and late onset wheeze. It is unknown which perinatal risk factors drive development of these phenotypes. OBJECTIVE: The objective of the study was to assess associations of perinatal factors with wheezing phenotypes and to identify possible targets for prevention. METHODS: In the PIAMA study (n = 3963), perinatal factors were collected at 3 months, and wheezing was assessed annually until the age of 8 years. Associations between perinatal risk factors and the five wheezing phenotypes were assessed using weighted multinomial logistic regression models. Odds ratios were adjusted for confounding variables and calculated with 'never/infrequent wheeze' as reference category. RESULTS: Complete data were available for 2728 children. Risk factors for transient early wheeze (n = 455) were male gender, maternal and paternal allergy, low maternal age, high maternal body mass index, short pregnancy duration, smoking during pregnancy, presence of older siblings and day-care attendance. Risk factors for persistent wheeze (n = 83) were male gender, maternal and paternal allergy, and not receiving breastfeeding for at least 12 weeks. Intermediate onset wheeze (n = 98) was associated with a lower birth weight and late onset wheeze (n = 45) with maternal allergy. CONCLUSION AND CLINICAL RELEVANCE: We identified different risk factors for specific childhood wheezing phenotypes. Some of these are modifiable, such as maternal age and body mass index, smoking, day-care attendance and breastfeeding, and may be important targets for prevention programmes.[Abstract] [Full Text] [Related] [New Search]