The role of outdoor fungi on asthma hospital admissions in children and adolescents: a 5-year time stratified case-crossover analysis
Version 2 2024-06-03, 23:12Version 2 2024-06-03, 23:12
Version 1 2017-05-16, 15:14Version 1 2017-05-16, 15:14
journal contribution
posted on 2024-06-03, 23:12authored byR Tham, CH Katelaris, D Vicendese, SC Dharmage, AJ Lowe, G Bowatte, P Taylor, P Burton, MJ Abramson, B Erbas
BACKGROUND: Some fungal spores can trigger asthma exacerbation but knowledge of which outdoor fungal spores contribute to asthma hospitalisation is limited. OBJECTIVES: To examine the role of outdoor fungal spores in child and adolescent asthma hospitalisations. METHODS: We conducted a bi-directional time-stratified case-crossover study of child and adolescent asthma hospitalisations over 5 years. Conditional logistic regression assessed the role of 20 fungi taxa (Same day [L0] and lagged [L1-3]) adjusted for maximum temperature, humidity and grass pollen. Strata specific effects were explored if there was evidence of effect modification by age, sex, air pollutants or grass pollen. Non-linear effects examined with Generalized Additive Models. RESULTS: Of 2098 children hospitalised for asthma, 60% were boys; mean age was 5.5±3.7 years. Fungal spore counts peaked during warm months. Regression models found weak associations with Coprinus [L0,L1: OR=1.03, 1.01-1.06], Periconia [L0: OR=1.03, 1.001-1.07] and Chaetomium [L2: OR=1.08, 1.0-1.2]. Sex appeared to act as an effect modifier with girls having stronger associations with Cladosporium, Coprinus and total fungi. Older adolescent (14-18 years) hospitalisation was significantly associated with Coprinus and Ustilago/smuts. Air pollutants and grass pollen did not appear to act as effect modifiers. Non-linearity was not detected. CONCLUSION: There may be associations between some outdoor fungal spores and asthma hospitalisations. Further research needed to explore whether these findings can be replicated; and examine whether fungal sensitisation and/or human rhinovirus infections are associated with stronger effects. If findings are replicated, then the need to develop predictive models for fungal spore distribution and levels may become more important.