Ko Yi-An, Song Peter X, Clark Noreen M
1 Department of Biostatistics, and.
Ann Am Thorac Soc. 2014 Jan;11(1):54-62. doi: 10.1513/AnnalsATS.201304-093OC.
Asthma is a variable condition with an apparent tendency for a natural decline in asthma symptoms and health care use occurring as children age. As a result, asthma interventions using a pre-post design may overestimate the intervention effect when no proper control group is available.
Investigate patterns of natural decline over time with increasing age in asthma symptoms and health care use of children. Develop a statistical procedure that enables adjustment that accounts for expected declines in these outcomes and is useable when intervention evaluations must rely solely on pre-post data.
Mixed-effects models with mixture distributions were used to describe the pattern of symptoms and health care use in 3,021 children aged 2 to 15 years in a combined sample from three controlled trials. An adaptive least squares estimation was used to account for overestimation of intervention effects and make adjustments for pre-post only data. Termed "Adjustment for Natural Declines in Asthma Outcomes (ANDAO)," the adjustment method uses bootstrap sampling to create control cohorts comparable to subjects in the intervention study from existing control subjects. ANDAO accounts for expected declines in outcomes and is beneficial when intervention evaluations must rely solely on pre-post data.
Children under 10 years of age experienced 18% (95% confidence interval, 15-21%) fewer symptom days and 28% (95% confidence interval, 24-32%) fewer symptom nights with each additional year of age. The decline was less than 10% after age 10 years, depending on baseline asthma severity. Emergency department visits declined regardless of baseline symptom frequency (P = 0.02). The adjustment method corrected estimates to within 2.4% of true effects through simulations using control cohorts.
Because of the declines in symptoms and health care use expected with increasing age of children with asthma, pre-post comparisons will greatly overestimate intervention effects. The ANDAO provides means to adequately estimate treatment effects when a control group design is not possible.
哮喘是一种具有可变特征的疾病,随着儿童年龄增长,哮喘症状和医疗保健使用情况有自然下降的明显趋势。因此,在没有合适对照组的情况下,采用前后对照设计的哮喘干预措施可能会高估干预效果。
研究随着儿童年龄增长哮喘症状和医疗保健使用情况的自然下降模式。开发一种统计程序,能够进行调整以考虑这些结果的预期下降情况,并且在干预评估必须仅依赖前后数据时可用。
使用具有混合分布的混合效应模型来描述来自三项对照试验的合并样本中3021名2至15岁儿童的症状和医疗保健使用模式。采用自适应最小二乘估计来解决干预效果的高估问题,并对仅前后数据进行调整。这种调整方法称为“哮喘结果自然下降调整法(ANDAO)”,它使用自助抽样从现有的对照受试者中创建与干预研究中的受试者可比的对照队列。ANDAO考虑了结果的预期下降情况,并且在干预评估必须仅依赖前后数据时很有用。
10岁以下儿童每增长一岁,症状日减少18%(95%置信区间,15 - 21%),症状夜减少28%(95%置信区间,24 - 32%)。10岁以后下降幅度小于10%,这取决于基线哮喘严重程度。无论基线症状频率如何,急诊就诊次数均下降(P = 0.02)。通过使用对照队列进行模拟,调整方法将估计值校正到真实效果的2.4%以内。
由于哮喘儿童年龄增长会导致症状和医疗保健使用情况下降,前后比较会大大高估干预效果。当无法采用对照组设计时,ANDAO提供了充分估计治疗效果的方法。