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视网膜光学相干断层扫描纵向测量作为多发性硬化症的预后生物标志物:系统评价和荟萃分析

Retinal Optical Coherence Tomography Longitudinal Measures as Prognostic Biomarkers in Multiple Sclerosis: Systematic Review and Meta-Analysis.

作者信息

El Ayoubi Nabil K, Ismail Ali, Sader Georgio, Abi Chakra Nour, El Ahdab Jad, Abboud Joseph, Khoury Samia J

机构信息

Nehme and Therese Tohme Multiple Sclerosis Center, Department of Neurology, American University of Beirut, Lebanon.

Faculty of Medical Sciences, Lebanese University, Beirut, Lebanon.

出版信息

Neurol Neuroimmunol Neuroinflamm. 2025 Jul;12(4):e200416. doi: 10.1212/NXI.0000000000200416. Epub 2025 May 27.

Abstract

BACKGROUND AND OBJECTIVES

Optical coherence tomography (OCT) has emerged as a valuable marker for assessing inflammation and neuroaxonal degeneration in multiple sclerosis (MS). Although traditional markers such as brain atrophy and axonal loss are crucial for monitoring MS progression, their clinical application can be limited by various factors. This meta-analysis of longitudinal studies aims to assess the predictive value of OCT-derived retinal layer thickness thresholds for monitoring and predicting MS disease progression and cognitive decline.

METHODS

Our systematic review and meta-analysis followed Preferred Reporting Items for Systematic Reviews and Meta-analyses guidelines. A comprehensive systematic search was performed using electronic databases (PubMed, Embase, Web of Science, and Google Scholar) for longitudinal studies using Spectral Domain-OCT (SD-OCT) to assess retinal layer thickness and its predictive value for MS progression. Data were extracted on study design, OCT measurements, disability progression definitions, and clinical outcomes. We analyzed hazard ratios (HR) and odds ratios (OR) for associations between OCT-measured thresholds and disability progression, including physical and cognitive deterioration.

RESULTS

Our study included 14 longitudinal studies that met our inclusion criteria, 13 studies were included in our quantitative analysis, with a total of 3,683 participants. Baseline peripapillary retinal nerve fiber layer (pRNFL) thickness below 88 μm was significantly associated with increased risk of future disease progression and physical worsening measured by Expanded Disability Status Scale progression (HR = 2.376, < 0.001; HR = 2.258, < 0.001, respectively). The same was noted for ganglion cell-inner plexiform layer (GCIPL) thickness below 77 μm (HR = 2.751, < 0.001 and HR = 2.66, < 0.001, respectively). In addition, annualized rates of pRNFL thinning above 1.5 μm/y and GCIPL thinning above 1 μm/y also significantly predicted disease worsening (HR = 3.019, = 0.005 and HR = 3.535, < 0.001, respectively).

DISCUSSION

OCT-derived retinal layer thresholds, specifically a pRNFL thickness of ≤88 μm and a GCIPL thickness of ≤77 μm, are significantly associated with an increased risk of future MS disability progression. Furthermore, annual thinning rates of pRNFL >1.5 μm/y and GCIPL >1 μm/y demonstrate greater predictive power and are more clinically relevant for identifying individuals at high risk of both physical and cognitive disability progression outcomes. Further research is needed to standardize OCT thresholds and improve clinical use in treatment planning.

摘要

背景与目的

光学相干断层扫描(OCT)已成为评估多发性硬化症(MS)炎症和神经轴突退变的重要指标。尽管脑萎缩和轴突损失等传统指标对于监测MS进展至关重要,但其临床应用可能受到多种因素限制。这项纵向研究的荟萃分析旨在评估OCT衍生的视网膜层厚度阈值对监测和预测MS疾病进展及认知衰退的预测价值。

方法

我们的系统评价和荟萃分析遵循系统评价和荟萃分析的首选报告项目指南。使用电子数据库(PubMed、Embase、科学网和谷歌学术)对使用光谱域OCT(SD - OCT)评估视网膜层厚度及其对MS进展预测价值的纵向研究进行了全面的系统检索。提取了关于研究设计、OCT测量、残疾进展定义和临床结果的数据。我们分析了OCT测量阈值与残疾进展(包括身体和认知恶化)之间关联的风险比(HR)和优势比(OR)。

结果

我们的研究纳入了14项符合纳入标准的纵向研究,13项研究纳入了定量分析,共有3683名参与者。视乳头周围视网膜神经纤维层(pRNFL)厚度低于88μm与未来疾病进展风险增加以及用扩展残疾状态量表进展衡量的身体状况恶化显著相关(HR分别为2.376,<0.001;HR为2.258,<0.001)。神经节细胞 - 内丛状层(GCIPL)厚度低于77μm时情况相同(HR分别为2.751,<0.001和HR为2.66,<0.001)。此外,pRNFL每年变薄速率超过1.5μm/y和GCIPL每年变薄速率超过1μm/y也显著预测疾病恶化(HR分别为3.019,=0.005和HR为3.535,<0.001)。

讨论

OCT衍生的视网膜层阈值,特别是pRNFL厚度≤88μm和GCIPL厚度≤77μm,与未来MS残疾进展风险增加显著相关。此外,pRNFL每年>1.5μm/y和GCIPL每年>1μm/y的变薄速率显示出更大的预测能力,并且在识别身体和认知残疾进展结局高风险个体方面更具临床相关性。需要进一步研究来规范OCT阈值并改善其在治疗规划中的临床应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94f6/12153945/eb9f30b6e8b2/NXI-2024-100820f1.jpg

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