Dan Jackson, Anna Quinton, Fanni Zhang, Hana Müllerová, Christer Janson, Mohsen Sadatsafavi
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引用次数: 0
Abstract
Purpose: The St George's Respiratory Questionnaire (SGRQ) measures health status in obstructive airways disease. Starkie et al proposed an algorithm for mapping the SGRQ to EQ-5D-5L, a preference-based utility measure, in chronic obstructive pulmonary disease (COPD) (Value Health 2011;14:354-60); only SGRQ total score, its squared value, and sex were included as covariates. We aimed to determine if including additional covariates could improve the performance of this algorithm type and whether amendments were required to extend this mapping to asthma or asthma+COPD.
Patients and methods: SGRQ and EQ-5D-5L were measured from a large, global, prospective, longitudinal study in asthma and/or COPD (NOVELTY; NCT02760329). We fitted six longitudinal linear mixed models to the development sample (baseline and Year 1 data), with EQ-5D-5L as the response variable. Each model had a different combination of covariates. Mixed model repeated measures methodology was used to enable the accommodation of within-patient correlation among measurements. Restricted maximum likelihood and an unstructured covariance matrix were used to fit all models. Performance (mean square errors [MSE]) was evaluated relative to the Starkie et al algorithm in the validation sample (Year 2 and Year 3 data).
Results: A total of 6813 patients (asthma: 3546; asthma+COPD: 872; COPD: 2395) with available EQ-5D-5L and SGRQ data were included at baseline. MSEs indicated good performance, were similar across models (Year 2: 0.0302-0.0308 [45-46% variance explained]; Year 3: 0.0272-0.0277 [47-48% variance explained]), and were modestly smaller than those obtained by Starkie et al (Year 2: 0.0340; Year 3: 0.0296). Performance was similar across models in the asthma and COPD subgroups.
Conclusion: Including additional covariates and SGRQ domains resulted in similar model performance to Starkie et al, suggesting their covariates are adequate for mapping in asthma and/or COPD. NOVELTY coefficients broaden the population with chronic airways disease for whom this mapping can be applied.
目的:圣乔治呼吸问卷(SGRQ)测量阻塞性气道疾病患者的健康状况。Starkie等人提出了一种将SGRQ映射到EQ-5D-5L的算法,EQ-5D-5L是一种基于偏好的慢性阻塞性肺疾病(COPD)效用度量(Value Health 2011;14:35 54-60);协变量仅包括SGRQ总分、其平方值和性别。我们的目的是确定加入额外的协变量是否可以提高该算法类型的性能,以及是否需要修改以将该映射扩展到哮喘或哮喘+COPD。患者和方法:SGRQ和EQ-5D-5L来自一项针对哮喘和/或COPD的大型、全球、前瞻性、纵向研究(NOVELTY;NCT02760329)。我们将六个纵向线性混合模型拟合到开发样本(基线和第一年数据)中,EQ-5D-5L作为响应变量。每个模型都有不同的协变量组合。采用混合模型重复测量方法,以适应患者内部测量之间的相关性。限制最大似然和非结构化协方差矩阵用于拟合所有模型。在验证样本(第2年和第3年数据)中,相对于Starkie等算法评估性能(均方误差[MSE])。结果:共6813例患者(哮喘:3546例;哮喘+慢性阻塞性肺病:872;COPD: 2395),基线时纳入可用的EQ-5D-5L和SGRQ数据。mse表现良好,各模型相似(第二年:0.0302-0.0308[45-46%方差解释];第3年:0.0272-0.0277[47-48%方差解释]),并且略小于Starkie等人的结果(第2年:0.0340;第三年:0.0296)。在哮喘和COPD亚组中,各模型的表现相似。结论:包括额外的协变量和SGRQ域导致与Starkie等人相似的模型性能,这表明他们的协变量足以用于哮喘和/或COPD的映射。新颖性系数扩大了慢性呼吸道疾病的人群,这种映射可以应用于他们。
期刊介绍:
Pragmatic and Observational Research is an international, peer-reviewed, open-access journal that publishes data from studies designed to closely reflect medical interventions in real-world clinical practice, providing insights beyond classical randomized controlled trials (RCTs). While RCTs maximize internal validity for cause-and-effect relationships, they often represent only specific patient groups. This journal aims to complement such studies by providing data that better mirrors real-world patients and the usage of medicines, thus informing guidelines and enhancing the applicability of research findings across diverse patient populations encountered in everyday clinical practice.