Department of Medicine (DIMED), Endocrinology Unit, Padua University, Padua, Italy.
Veneto Regional Multiple Sclerosis Center (CeSMuV), Padua University Hospital, Padua, Italy.
Clin Endocrinol (Oxf). 2022 Sep;97(3):331-338. doi: 10.1111/cen.14616. Epub 2021 Nov 1.
Alemtuzumab-induced autoimmune thyroid events (AIATEs) are the most common adverse effects observed in relapsing-remitting multiple sclerosis (RRMS) patients. This study aims to explore the clinical and biochemical characteristics of such AIATEs, and to examine the risk factors for their occurrence, particularly for the worst clinical phenotype of fluctuating Graves' disease (GD).
DESIGN, PATIENTS, MEASUREMENTS: We retrospectively analysed a real-life single-centre consecutive series of 57 RRMS patients treated with alemtuzumab whose clinical and biochemical parameters were collected before starting the treatment and then monthly during their follow-up.
AIATEs developed in 39% of patients a mean 17 months ± 11 after the first cycle of alemtuzumab. The most common AIATEs were GD (64%), followed by Hashimoto's thyroiditis with hypothyroidism (23%), TSH-receptor-antibody (TRAb)-positive hypothyroidism (9%), and silent thyroiditis (4%). GD showed a fluctuating course in 57% of cases. Baseline positivity for anti-thyroperoxidase antibodies, and higher absolute titers of anti-thyroglobulin and anti-thyroperoxidase antibodies correlated significantly with the risk of developing AIATEs, but TRAb positivity did not. Higher TRAb titers at the time of GD being diagnosed correlated strongly with a greater risk of the fluctuating GD phenotype. On ROC curve analysis, we found that a cut-off of 7.3 IU/L could be used to predict the risk of developing a fluctuating GD, with a positive predictive value of 100%.
TRAb levels measured with commercial automatic methods at the time of a patient being diagnosed with alemtuzumab-induced GD emerged as a novel biomarker for predicting a fluctuating disease phenotype, with an influence on subsequent therapeutic decisions and patients' follow-up.
阿仑单抗诱导的自身免疫性甲状腺事件(AIATEs)是复发缓解型多发性硬化症(RRMS)患者最常见的不良反应。本研究旨在探讨此类 AIATEs 的临床和生化特征,并研究其发生的危险因素,特别是波动型格雷夫斯病(GD)的最差临床表型。
设计、患者、测量:我们回顾性分析了 57 例接受阿仑单抗治疗的 RRMS 患者的真实单中心连续系列,收集了他们开始治疗前和随访期间每月的临床和生化参数。
AIATEs 在接受阿仑单抗治疗后的平均 17 个月±11 后在 39%的患者中发生。最常见的 AIATEs 是 GD(64%),其次是桥本甲状腺炎伴甲状腺功能减退(23%)、TSH 受体抗体(TRAb)阳性甲状腺功能减退(9%)和无症状甲状腺炎(4%)。GD 在 57%的病例中表现为波动性病程。基线抗甲状腺过氧化物酶抗体阳性,以及更高的抗甲状腺球蛋白和抗甲状腺过氧化物酶抗体绝对滴度与发生 AIATEs 的风险显著相关,但 TRAb 阳性与发生 AIATEs 的风险无关。在诊断 GD 时更高的 TRAb 滴度与更大概率出现波动性 GD 表型密切相关。在 ROC 曲线分析中,我们发现 7.3 IU/L 的截点可以用于预测发展为波动性 GD 的风险,阳性预测值为 100%。
在诊断阿仑单抗诱导的 GD 时用商业自动方法测量的 TRAb 水平成为预测波动性疾病表型的新生物标志物,对随后的治疗决策和患者随访有影响。