判别式
医学
观测误差
可靠性(半导体)
人工智能
风湿性多肌痛
有效性
口译(哲学)
统计
测量不确定度
模式识别(心理学)
极限(数学)
内科学
接收机工作特性
比例(比率)
疾病
心理测量学
度量(数据仓库)
数学
作者
Noortje E.S.E.P. Kooijman,David Ten Cate,Pauline M E T Bovens,Maike H M Wientjes,Claire Owen,Alfons A den Broeder,Aatke van der Maas
出处
期刊:Rheumatology
[Oxford University Press]
日期:2026-02-01
卷期号:65 (2)
被引量:2
标识
DOI:10.1093/rheumatology/keag085
摘要
OBJECTIVES: The Polymyalgia Rheumatica Activity Score (PMR-AS) is the best validated composite disease activity measure in PMR to date, but its reliability, measurement error and discriminative validity have not been studied. METHODS: Inter-rater reliability, measurement error and discriminative validity were assessed in a cross-sectional cohort of PMR patients in routine care (April-August 2025). For inter-rater reliability and measurement error, five physicians scored the PMR-AS, with two independently evaluating each patient at the same visit. Test-retest reliability and measurement error were assessed using data from two randomized trials in newly diagnosed PMR (2019-2024, EULAR/ACR criteria positive). Patients with two visits 2-4 weeks apart and no reported change in disease state were included. Analyses included intraclass correlation coefficients (ICCs), standard error of measurement (SEM), smallest detectable change (SDC/SDD) and ROC analyses. Agreement between disease activity categories (PMR-AS <10 and ≥10) was evaluated using Cohen's kappa (ᴋ). RESULTS: A total of 124 patients contributed to the inter-rater analyses and 38 for test-retest analyses. For inter-rater reliability, the PMR-AS showed excellent agreement (ICC 0.93, 95% CI 0.90-0.95). Test-retest reliability was lower (ICC 0.66, 95% CI 0.38-0.82), reflecting lack of variability in disease activity (median PMR-AS 1.6). Measurement error was notable (inter-rater: SEM 2.46, SDD 6.83; test-retest: SEM 2.07, SDC 5.75), but discriminative validity was good (AUC 0.93, ᴋ 0.69). CONCLUSION: The PMR-AS demonstrated excellent inter-rater reliability and discriminative validity, supporting its use for classification of disease activity. However, its measurement error may limit interpretation of small intra-individual changes.
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