Individual Prognostication of Disease Activity and Disability Worsening in Multiple Sclerosis With Retinal Layer Thickness z Scores.

IF 7.8 1区 医学 Q1 CLINICAL NEUROLOGY
Ting-Yi Lin, Seyedamirhosein Motamedi, Susanna Asseyer, Claudia Chien, Shiv Saidha, Peter A Calabresi, Kathryn C Fitzgerald, Sara Samadzadeh, Pablo Villoslada, Sara Llufriu, Ari J Green, Jana Lizrova Preiningerova, Axel Petzold, Letizia Leocani, Elena Garcia-Martin, Celia Oreja-Guevara, Olivier Outteryck, Patrick Vermersch, Laura J Balcer, Rachel Kenney, Philipp Albrecht, Orhan Aktas, Fiona Costello, Jette Frederiksen, Antonio Uccelli, Maria Cellerino, Elliot M Frohman, Teresa C Frohman, Judith Bellmann-Strobl, Tanja Schmitz-Hübsch, Klemens Ruprecht, Alexander U Brandt, Hanna G Zimmermann, Friedemann Paul
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引用次数: 0

Abstract

Background and objectives: Retinal optical coherence tomography (OCT) provides promising prognostic imaging biomarkers for future disease activity in multiple sclerosis (MS). However, raw OCT-derived measures have multiple dependencies, supporting the need for establishing reference values adjusted for possible confounders. The purpose of this study was to investigate the capacity for age-adjusted z scores of OCT-derived measures to prognosticate future disease activity and disability worsening in people with MS (PwMS).

Methods: We established age-adjusted OCT reference data using generalized additive models for location, scale, and shape for peripapillary retinal nerve fiber layer (pRNFL) and ganglion cell-inner plexiform layer (GCIP) thicknesses, involving 910 and 423 healthy eyes, respectively. Next, we transformed the retinal layer thickness of PwMS from 3 published studies into age-adjusted z scores (pRNFL-z and GCIP-z) based on the reference data. Finally, we investigated the association of pRNFL-z or GCIP-z as predictors with future confirmed disability worsening (Expanded Disability Status Scale score increase) or disease activity (failing of the no evidence of disease activity [NEDA-3] criteria) as outcomes. Cox proportional hazards models or logistic regression analyses were applied according to the original studies. Optimal cutoffs were identified using the Akaike information criterion as well as location with the log-rank and likelihood-ratio tests.

Results: In the first cohort (n = 863), 172 PwMS (24%) had disability worsening over a median observational period of 2.0 (interquartile range [IQR]:1.0-3.0) years. Low pRNFL-z (≤-2.04) were associated with an increased risk of disability worsening (adjusted hazard ratio (aHR) [95% CI] = 2.08 [1.47-2.95], p = 3.82e-5). In the second cohort (n = 170), logistic regression analyses revealed that lower pRNFL-z showed a higher likelihood for disability accumulation at the two-year follow-up (reciprocal odds ratio [95% CI] = 1.51[1.06-2.15], p = 0.03). In the third cohort (n = 78), 46 PwMS (59%) did not maintain the NEDA-3 status over a median follow-up of 2.0 (IQR: 1.9-2.1) years. PwMS with low GCIP-z (≤-1.03) had a higher risk of showing disease activity (aHR [95% CI] = 2.14 [1.03-4.43], p = 0.04). Compared with raw values with arbitrary cutoffs, applying the z score approach with optimal cutoffs showed better performance in discrimination and calibration (higher Harrell's concordance index and lower integrated Brier score).

Discussion: In conclusion, our work demonstrated reference cohort-based z scores that account for age, a major driver for disease progression in MS, to be a promising approach for creating OCT-derived measures useable across devices and toward individualized prognostication.

用视网膜层厚度 z 分数对多发性硬化症的疾病活动性和残疾恶化进行个体诊断
背景和目的:视网膜光学相干断层扫描(OCT)为多发性硬化症(MS)的未来疾病活动提供了有希望的预后成像生物标志物。然而,原始的 OCT 衍生指标具有多重依赖性,因此需要建立参考值,并对可能的混杂因素进行调整。本研究的目的是调查经年龄调整后的 OCT 衍生指标 z 分数对多发性硬化症患者(PwMS)未来疾病活动和残疾恶化的预后能力:我们使用位置、比例和形状的广义相加模型为毛细血管周围视网膜神经纤维层(pRNFL)和神经节细胞-内丛状层(GCIP)厚度建立了年龄调整后的 OCT 参考数据,分别涉及 910 只和 423 只健康眼睛。接下来,我们根据参考数据将 3 项已发表研究中的 PwMS 视网膜层厚度转换为年龄调整后的 z 分数(pRNFL-z 和 GCIP-z)。最后,我们研究了 pRNFL-z 或 GCIP-z 作为预测因子与未来证实的残疾恶化(残疾状况扩展量表评分增加)或疾病活动(未达到无疾病活动证据 [NEDA-3] 标准)作为结果的关联性。根据原始研究采用 Cox 比例危险模型或逻辑回归分析。使用 Akaike 信息准则以及对数秩检验和似然比检验确定最佳临界点:在第一个队列(n = 863)中,172 名 PwMS(24%)在 2.0(四分位数间距 [IQR]:1.0-3.0)年的中位数观察期内出现残疾恶化。低pRNFL-z(≤-2.04)与残疾恶化风险增加有关(调整后危险比(aHR)[95% CI] = 2.08 [1.47-2.95],p = 3.82e-5)。在第二个队列(n = 170)中,逻辑回归分析显示,pRNFL-z 越低,两年随访时残疾累积的可能性越高(倒数几率比 [95% CI] = 1.51[1.06-2.15], p = 0.03)。在第三个队列(n = 78)中,有 46 名 PwMS(59%)在中位 2.0(IQR:1.9-2.1)年的随访中未保持 NEDA-3 状态。GCIP-z 较低(≤-1.03)的 PwMS 出现疾病活动的风险较高(aHR [95% CI] = 2.14 [1.03-4.43],p = 0.04)。与采用任意截断值的原始值相比,采用最佳截断值的 z 评分方法显示出更好的辨别和校准性能(更高的哈雷尔一致性指数和更低的综合布赖尔评分):总之,我们的研究表明,基于参考队列的 z 评分考虑了年龄因素(年龄是多发性硬化症疾病进展的主要驱动因素),是一种很有前途的方法,可用于创建可跨设备使用的 OCT 派生测量值,并可用于个体化预后分析。
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来源期刊
CiteScore
15.60
自引率
2.30%
发文量
219
审稿时长
8 weeks
期刊介绍: Neurology Neuroimmunology & Neuroinflammation is an official journal of the American Academy of Neurology. Neurology: Neuroimmunology & Neuroinflammation will be the premier peer-reviewed journal in neuroimmunology and neuroinflammation. This journal publishes rigorously peer-reviewed open-access reports of original research and in-depth reviews of topics in neuroimmunology & neuroinflammation, affecting the full range of neurologic diseases including (but not limited to) Alzheimer's disease, Parkinson's disease, ALS, tauopathy, and stroke; multiple sclerosis and NMO; inflammatory peripheral nerve and muscle disease, Guillain-Barré and myasthenia gravis; nervous system infection; paraneoplastic syndromes, noninfectious encephalitides and other antibody-mediated disorders; and psychiatric and neurodevelopmental disorders. Clinical trials, instructive case reports, and small case series will also be featured.
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