Pike James, Dong Yan, Piercy James, Booth Nicola, Holdsworth Elizabeth, Hunter Theresa
Adelphi Real World, Bollington, UK.
Eli Lilly and Company, Indianapolis, IN, USA.
Rheumatol Ther. 2021 Jun;8(2):849-862. doi: 10.1007/s40744-021-00306-y. Epub 2021 Apr 17.
Axial spondyloarthritis (axSpA) is a chronic rheumatic disease affecting the spine and sacroiliac joints, encompassing both ankylosing spondylitis (AS) and non-radiographic axial spondyloarthritis (nr-axSpA) patients. Patient quality of life (QoL) is assessed using the Ankylosing Spondylitis Quality of Life (ASQoL) (disease-specific measure) and the Assessment of SpondyloArthritis International Society Health Index (ASAS HI) (disease-specific measure). Both ASQoL and ASAS HI have similar parameters and scoring ranges, however, their performance relative to each other is unknown. We conducted a cross-walk analysis of the ASAS HI to the ASQoL in AS and nr-axSpA patients.
A cross-sectional survey using the Adelphi axSpA Disease Specific Programme™, conducted with rheumatologists and their consulting AS and nr-axSpA patients in the United States, was undertaken between Jun and Aug 2018. Rheumatologists provided confirmed diagnoses of AS and nr-axSpA alongside patients' demographic and clinical characteristics. Patients reported quality-of-life measures using the validated ASAS HI and ASQoL questionnaires. Model performance was assessed by comparing root-mean squared error (RMSE) from tenfold cross-validation to determine the best mapping from ASAS HI to ASQoL, and vice versa. RMSE was calculated overall, and for lower, middle and upper thirds of the predicted scale.
Data from 283 AS and 274 nr-axSpA patients were analyzed. Predicting ASAS HI using ASQoL values, the best model was non-parametric local linear regression, with overall RMSE of 1.851. Predicting ASQoL using ASAS HI values, the best model also used non-parametric local-linear regression, with overall RMSE of 2.254. In predicting ASAS HI and ASQoL, models performed better in predicting lower values in the predicted scale (RMSE 1.597, 1.871, 2.871 across thirds for ASAS HI; and 1.719, 2.577, 3.140 for ASQoL).
Results present a scoring algorithm for cross-walking the ASAS HI to the ASQoL and vice versa, with the approach enabling comparisons to be made across studies.
轴性脊柱关节炎（axSpA）是一种影响脊柱和骶髂关节的慢性风湿性疾病，包括强直性脊柱炎（AS）和非放射学轴性脊柱关节炎（nr-axSpA）患者。使用强直性脊柱炎生活质量（ASQoL）（疾病特异性测量方法）和脊柱关节炎国际协会健康指数（ASAS HI）（疾病特异性测量方法）来评估患者的生活质量（QoL）。ASQoL和ASAS HI具有相似的参数和评分范围，然而，它们相对于彼此的表现尚不清楚。我们对AS和nr-axSpA患者进行了ASAS HI到ASQoL的交叉分析。
2018年6月至8月期间，在美国对风湿病学家及其咨询的AS和nr-axSpA患者进行了一项使用阿德尔菲轴性脊柱关节炎疾病特定项目™的横断面调查。风湿病学家提供了AS和nr-axSpA的确诊诊断以及患者的人口统计学和临床特征。患者使用经过验证的ASAS HI和ASQoL问卷报告生活质量测量结果。通过比较十折交叉验证的均方根误差（RMSE）来评估模型性能，以确定从ASAS HI到ASQoL的最佳映射，反之亦然。总体计算RMSE，并针对预测量表的下、中、上三分之一进行计算。
分析了283例AS患者和274例nr-axSpA患者的数据。使用ASQoL值预测ASAS HI，最佳模型是非参数局部线性回归，总体RMSE为1.851。使用ASAS HI值预测ASQoL，最佳模型也使用非参数局部线性回归，总体RMSE为2.254。在预测ASAS HI和ASQoL时，模型在预测量表中较低值时表现更好（ASAS HI的三个三分之一的RMSE分别为1.597、1.871、2.871；ASQoL的RMSE分别为1.719、2.577、3.140）。
结果提出了一种将ASAS HI与ASQoL相互转换的评分算法，该方法能够在不同研究之间进行比较。
