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Seasonal asthma in Melbourne Australia and some observations on the occurrence of thunderstorm asthma and its predictability

机译:澳大利亚墨尔本的季节性哮喘以及雷暴哮喘的发生及其可预测性的一些观察

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摘要

We examine the seasonality of asthma-related hospital admissions in Melbourne, Australia, in particular the contribution and predictability of episodic thunderstorm asthma. Using a time-series ecological approach based on asthma admissions to Melbourne metropolitan hospitals, we identified seasonal peaks in asthma admissions that were centred in late February, June and mid-November. These peaks were most likely due to the return to school, winter viral infections and seasonal allergies, respectively. We performed non-linear statistical regression to predict daily admission rates as functions of the seasonal cycle, weather conditions, reported thunderstorms, pollen counts and air quality. Important predictor variables were the seasonal cycle and mean relative humidity in the preceding two weeks, with higher humidity associated with higher asthma admissions. Although various attempts were made to model asthma admissions, none of the models explained substantially more variation above that associated with the annual cycle. We also identified a list of high asthma admissions days (HAADs). Most HAADs fell in the late-February return-to-school peak and the November allergy peak, with the latter containing the greatest number of daily admissions. Many HAADs in the spring allergy peak may represent episodes of thunderstorm asthma, as they were associated with rainfall, thunderstorms, high ambient grass pollen levels and high humidity, a finding that suggests thunderstorm asthma is a recurrent phenomenon in Melbourne that occurs roughly once per five years. The rarity of thunderstorm asthma events makes prediction challenging, underscoring the importance of maintaining high standards of asthma management, both for patients and health professionals, especially during late spring and early summer.
机译:我们研究了澳大利亚墨尔本市与哮喘有关的医院入院的季节性,特别是突发性雷暴哮喘的贡献和可预测性。我们采用基于墨尔本市区医院哮喘入院的时间序列生态学方法,确定了2月下旬,6月和11月中旬出现的哮喘入院季节性高峰。这些高峰很可能分别是由于重返学校,冬季病毒感染和季节性过敏所致。我们进行了非线性统计回归,以预测每日入院率与季节周期,天气状况,报告的雷暴,花粉数量和空气质量之间的关系。重要的预测变量是前两周的季节周期和平均相对湿度,较高的湿度与较高的哮喘住院率相关。尽管尝试了多种方法来模拟哮喘的入院情况,但没有一个模型能说明比年度周期更大的变化。我们还确定了高哮喘住院天数(HAADs)的列表。大多数HAAD下降在2月下旬的返校高峰期和11月的过敏高峰期,后者的每日入院人数最多。春季过敏高峰中的许多HAAD可能代表雷暴哮喘发作,因为它们与降雨,雷暴,周围草粉水平高和湿度高有关,这一发现表明雷暴哮喘是墨尔本的复发现象,大约每五次发生一次年份。雷暴哮喘事件的罕见性使预测具有挑战性,强调了对患者和卫生专业人员保持高水平哮喘管理的重要性,特别是在春末夏初。

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