Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
J Allergy Clin Immunol. 2011 Jun;127(6):1466-72.e6. doi: 10.1016/j.jaci.2011.03.001. Epub 2011 Mar 31.
The loose and stringent Asthma Predictive Indices (API), developed in Tucson, are popular rules to predict asthma in preschool children. To be clinically useful, they require validation in different settings.
To assess the predictive performance of the API in an independent population and compare it with simpler rules based only on preschool wheeze.
We studied 1954 children of the population-based Leicester Respiratory Cohort, followed up from age 1 to 10 years. The API and frequency of wheeze were assessed at age 3 years, and we determined their association with asthma at ages 7 and 10 years by using logistic regression. We computed test characteristics and measures of predictive performance to validate the API and compare it with simpler rules.
The ability of the API to predict asthma in Leicester was comparable to Tucson: for the loose API, odds ratios for asthma at age 7 years were 5.2 in Leicester (5.5 in Tucson), and positive predictive values were 26% (26%). For the stringent API, these values were 8.2 (9.8) and 40% (48%). For the simpler rule early wheeze, corresponding values were 5.4 and 21%; for early frequent wheeze, 6.7 and 36%. The discriminative ability of all prediction rules was moderate (c statistic ≤ 0.7) and overall predictive performance low (scaled Brier score < 20%).
Predictive performance of the API in Leicester, although comparable to the original study, was modest and similar to prediction based only on preschool wheeze. This highlights the need for better prediction rules.
图森开发的宽松和严格的哮喘预测指数(API)是预测学龄前儿童哮喘的流行规则。为了具有临床实用性,它们需要在不同的环境中进行验证。
评估 API 在独立人群中的预测性能,并将其与仅基于学龄前喘息的更简单规则进行比较。
我们研究了基于人群的莱斯特呼吸队列的 1954 名儿童,从 1 岁到 10 岁进行随访。在 3 岁时评估 API 和喘息频率,并使用逻辑回归确定它们与 7 岁和 10 岁时哮喘的相关性。我们计算了测试特征和预测性能指标,以验证 API 并将其与更简单的规则进行比较。
API 在莱斯特预测哮喘的能力与图森相当:对于宽松的 API,7 岁时哮喘的优势比在莱斯特为 5.2(在图森为 5.5),阳性预测值为 26%(在图森为 26%)。对于严格的 API,这些值分别为 8.2(9.8)和 40%(48%)。对于更简单的规则早期喘息,相应的值分别为 5.4 和 21%;对于早期频繁喘息,相应的值分别为 6.7 和 36%。所有预测规则的区分能力中等(c 统计量≤0.7),整体预测性能较低(缩放 Brier 分数<20%)。
API 在莱斯特的预测性能虽然与原始研究相当,但仍较为适中,与仅基于学龄前喘息的预测相似。这突出了需要更好的预测规则。