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Fungal and other spore counts as predictors of admissions for asthma in the Trent region.

机译:真菌和其他孢子的数量可以预测特伦特地区哮喘的发病率。

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OBJECTIVES: The importance of airborne fungal and other spores in provoking asthma attacks is uncertain. Panel studies have generated evidence that suggests a link between outdoor spore counts and severity of asthma. There have been no population based time series studies relating outdoor exposure to spores with incidence of attacks of asthma. METHODS: Outcomes were hospital admissions for asthma on 2002 days during 1987-94, for children and adults in the Trent region of England. Predictors were daily counts of 25 spore taxa from volumetric traps in Derby on the same and previous day. Admissions for asthma were adjusted for weekly, seasonal, and longer term trends by log linear autoregressive models. Spore counts on 6 days of asthma epidemics were also examined. RESULTS: When spore counts for individual taxa were analysed as quantitative variables, two positive and two negative correlations (out of a possible 100) were significant at the 5% level. When spore counts were dichotomised at the 90th percentile, one negative and eight positive correlations (out of 100) were significant at the 5% level. All significantly positive associations related to admissions among children, but none involved the total spore count. However, total spores were above the 90th percentile on four of the six epidemic days (odds ratio (OR) 9.92, 95% confidence interval (95% CI) 1.41 to 109.84), but epidemics occurred on only four of 343 days with high total moulds. CONCLUSIONS: There was some evidence that exceptional rates of admission for asthma tend to occur on days with high total mould spore counts, but no specific taxon was consistently implicated. The predictive power was insufficient to support a public warning system.
机译:目的:空气传播的真菌和其他孢子在引发哮喘发作中的重要性尚不确定。小组研究已产生证据表明室外孢子数与哮喘严重程度之间存在联系。尚无基于人群的时间序列研究,该研究将室外暴露于孢子与哮喘发作的发生率相关。方法:结果是在1987-94年间,英格兰特伦特地区的儿童和成人在2002天内因哮喘入院。预测指标是同一天和前一天来自Derby的体积陷阱中的25个孢子类群的每日计数。通过对数线性自回归模型针对每周,季节性和长期趋势调整哮喘的入院率。还检查了哮喘流行6天的孢子计数。结果:当将单个分类单元的孢子计数作为定量变量进行分析时,在5%的水平上存在两个正相关和两个负相关(可能100个)。当将孢子数在90%处二等分时,在5%的水平上有一个负相关和八个正相关(在100个中)。所有显着的正相关都与儿童入院有关,但没有一个涉及总孢子数。但是,在六个流行日中有四个的总孢子高于90%百分率(几率(OR)9.92,95%置信区间(95%CI)1.41至109.84),但在343天中只有四个流行模具。结论:有证据表明,在霉菌孢子总数高的日子里,哮喘的例外住院率往往会发生,但没有明确涉及特定的分类单元。预测能力不足以支持公共预警系统。

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