在一个大型跨国前瞻性狼疮队列中,耀斑和持续活动性疾病的频率和决定因素。

IF 2.8 Q2 RHEUMATOLOGY
Yanjie Hao, Dylan Hansen, Worawit Louthrenoo, Yi-Hsing Chen, Jiacai Cho, Aisha Lateef, Laniyati Hamijoyo, Shue Fen Luo, Yeong-Jian Wu, Sandra Navarra, Leonid Zamora, Zhanguo Li, Sargunan Sockalingam, Yasuhiro Katsumata, Masayoshi Harigai, Lanlan Ji, Zhuoli Zhang, Madelynn Chan, Jun Kikuchi, Tsutomu Takeuchi, Sang-Cheol Bae, Fiona Goldblatt, Sean O'Neill, Kristine Pek Ling Ng, B M D B Basnayake, Nicola Tugnet, Naoaki Ohkubo, Yoshiya Tanaka, Cherica Tee, Michael Tee, C S Lau, Ning Li, Vera Golder, Alberta Hoi, Rangi Kandane-Rathnayake, Eric Morand, Shereen Oon, Mandana Nikpour
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引用次数: 0

摘要

目的:与复发缓解型相反,持续活动性疾病(PAD)是系统性红斑狼疮(SLE)患者的一种疾病活动性模式,目前研究尚不充分。我们试图确定SLE中耀斑和PAD的频率和决定因素。方法:使用系统性红斑狼疮疾病活动指数(SELENA-SLEDAI耀斑指数)的国家评估版雌激素安全性来定义耀斑,PAD定义为SLEDAI-2K评分≥4,不包括血清学,连续两次或两次以上,最长间隔为6个月。多变量逻辑回归用于建立耀斑和PAD的预测模型,并在独立验证子集中进行测试。结果:在随访2.8年(四分位数范围1.0-5.3年)的3811例患者中,2142例(56.2%)有PAD发作,1786例(46.9%)有PAD, 368例(9.7%)有PAD但没有发作。最常见的耀斑特征是肾炎和关节炎,而PAD最常见的特征是肾脏或皮肤粘膜活动。在调整强的松剂量、抗疟药和免疫抑制剂的使用后,居住国的低国内生产总值、吸烟、关节炎、肾炎和低补体水平是爆发的预测因素,而在≥50%的随访时间内处于低疾病活动状态(LLDAS50)是一个保护因素。肾活动和较高的时间调整平均SLEDAI-2K可预测PAD,而LLDAS50具有保护作用。在验证队列中,建立的模型对耀斑和PAD的分类正确率分别为72.1%和83.8%。结论:耀斑和PAD是SLE常见的疾病活动模式;两者都能预测器官损伤,但在疾病特征和预测因素上有所不同。因为9.7%的患者经历PAD但没有发作,单独的发作措施不能充分捕获所有疾病控制不理想的患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Frequency and Determinants of Flare and Persistently Active Disease in a Large Multinational Prospective Lupus Cohort.

Frequency and Determinants of Flare and Persistently Active Disease in a Large Multinational Prospective Lupus Cohort.

Frequency and Determinants of Flare and Persistently Active Disease in a Large Multinational Prospective Lupus Cohort.

Frequency and Determinants of Flare and Persistently Active Disease in a Large Multinational Prospective Lupus Cohort.

Objective: In contrast to relapsing-remitting patterns, persistently active disease (PAD) is a disease activity pattern in patients with systemic lupus erythematosus (SLE) that is inadequately studied. We sought to identify the frequency and determinants of flare and PAD in SLE.

Methods: Flare was defined using the Safety of Estrogens in Lupus Erythematosus National Assessment version of the Systemic Lupus Erythematosus Disease Activity Index (SELENA-SLEDAI flare index), and PAD was defined as an SLEDAI-2K score of ≥4, excluding serology only, on two or more consecutive visits with a maximum six-month interval. Multivariable logistic regression was used to develop predictive models for flare and PAD, which were tested in an independent validation subset.

Results: Among 3,811 patients over 2.8 (interquartile range 1.0-5.3) years of follow-up, 2,142 (56.2%) experienced flare and 1,786 (46.9%) had PAD, with 368 (9.7%) experiencing PAD but not flare. The most common flare features were nephritis and arthritis, whereas PAD was most commonly characterized by renal or mucocutaneous activity. After adjusting for prednisone dose and use of antimalarials and immunosuppressants, low gross domestic product in country of residence, smoking, arthritis, nephritis, and low complement levels were predictive for flare, whereas being in a low disease activity state for ≥50% of follow-up time (LLDAS50) was a protective factor. Renal activity and higher time-adjusted mean SLEDAI-2K were predictive of PAD, whereas LLDAS50 was protective. The models developed gave 72.1% and 83.8% correct classification of flare and PAD, respectively, in the validation cohort.

Conclusion: Both flare and PAD are common disease activity patterns in SLE; both predict organ damage accrual but differ in disease features and predictive factors. Because 9.7% of patients experience PAD but not flare, flare measures alone do not adequately capture all patients in whom disease control is suboptimal.

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