Juvenile idiopathic arthritis (JIA) is a chronic disease. During its "high disease activity (HDA)" stage, JIA can cause severe pain, and thus could seriously affect patients' physical and psychological health. Early detection of the HDA stage of JIA can reduce the damage of the disease by treating it at an early stage and alleviating the painful experience of the patients. So far, no effective cure of JIA has been found, and one major goal of disease management is to improve patients' quality of life. To this end, patients' health-related quality of life (HRQOL) scores are routinely collected over time from JIA patients. In this paper, we demonstrate that a new statistical methodology called dynamic screening system (DySS) is effective for early detection of the HDA stage of JIA. By this approach, a patient's HRQOL scores are monitored sequentially, and a signal is given by DySS once the longitudinal pattern of the scores is found to be significantly different from the pattern of patients with low disease activity. Dimension reduction of the observed HRQOL scores and the corresponding impact on the performance of DySS are also discussed.

中文翻译：

---

通过连续监测患者的健康相关生活质量评分，早期发现幼年特发性关节炎的高疾病活动度

幼年特发性关节炎（JIA）是一种慢性疾病。在“高疾病活动度（HDA）”阶段，幼年特发性关节炎会引起剧烈疼痛，从而严重影响患者的身心健康。及早发现JIA的HDA期，可以早期治疗，减轻疾病的损害，减轻患者的痛苦经历。迄今为止，尚未发现幼年特发性关节炎的有效治疗方法，疾病管理的主要目标之一是改善患者的生活质量。为此，随着时间的推移，定期从 JIA 患者那里收集患者的健康相关生活质量 (HRQOL) 评分。在本文中，我们证明了一种称为动态筛查系统 (DySS) 的新统计方法对于 JIA HDA 阶段的早期检测有效。通过这种方法，连续监测患者的 HRQOL 评分，一旦发现评分的纵向模式与低疾病活动性患者的模式显着不同，DySS 就会发出信号。还讨论了观察到的 HRQOL 分数的降维以及对 DySS 表现的相应影响。