Leila Sara Eppenberger, Chi Li, Damon Wong, Bingyao Tan, Gerhard Garhöfer, Saima Hilal, Eddie Chong, An Qi Toh, Narayanaswamy Venketasubramanian, Christopher Li-Hsian Chen, Leopold Schmetterer, Jacqueline Chua
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Retinal thickness was measured by OCT at baseline. We assessed the association between baseline retinal thickness and subsequent cognitive decline.</p><p><strong>Results: </strong>Participants with a significantly thinner macular ganglion cell-inner plexiform layer (GCIPL) at baseline (≤ 79 μm) had a 38% greater risk of cognitive decline compared to those who did not (≥ 88 μm; p = 0.037). In a multivariable model accounting for age, education, cerebrovascular disease status, hypertension, hyperlipidemia, diabetes and smoking, thinner GCIPL was associated with an increased risk of cognitive decline (hazard ratio = 1.14, 95% CI = 1.01-1.30, p = 0.035). Retinal nerve fiber layer (RNFL) thickness was not associated with cognitive decline.</p><p><strong>Conclusions: </strong>This study suggests that OCT-derived macular GCIPL thickness may be a valuable biomarker for identifying individuals at risk of cognitive decline. 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引用次数: 0
摘要
背景:痴呆症对卫生保健系统造成了重大负担。早期识别有认知能力下降风险的个体是至关重要的。视网膜是中枢神经系统的延伸,反映神经退行性变化。光学相干断层扫描(OCT)是一种评估视网膜健康的非侵入性工具,在预测认知能力下降方面显示出前景。然而,之前的研究产生了不同的结果。方法:本研究调查了一个大队列(n = 490)的亚洲人参加记忆诊所。参与者在五年内每年接受全面的神经心理测试。基线时用OCT测量视网膜厚度。我们评估了基线视网膜厚度与随后认知能力下降之间的关系。结果:基线时黄斑神经节细胞-内丛状层(GCIPL)较薄(≤79 μm)的受试者认知能力下降的风险比基线时较薄(≥88 μm;p = 0.037)。在考虑年龄、教育程度、脑血管疾病状况、高血压、高脂血症、糖尿病和吸烟等因素的多变量模型中,GCIPL越薄与认知能力下降的风险增加相关(风险比= 1.14,95% CI = 1.01-1.30, p = 0.035)。视网膜神经纤维层(RNFL)厚度与认知能力下降无关。结论:这项研究表明,oct衍生的黄斑GCIPL厚度可能是识别认知能力下降风险个体的有价值的生物标志物。我们的研究结果强调GCIPL与RNFL厚度相比,在检测早期神经退行性变化方面可能更敏感。试验注册编号和试验注册中心名称:国家医疗保健集团领域特定审查委员会(NHG DSRB)参考编号DSRB Ref: 2018/01368。试验名称:协调项目。
Retinal thickness predicts the risk of cognitive decline over five years.
Background: Dementia poses a significant burden on healthcare systems. Early identification of individuals at risk for cognitive decline is crucial. The retina, an extension of the central nervous system, reflects neurodegenerative changes. Optical coherence tomography (OCT) is a non-invasive tool for assessing retinal health and has shown promise in predicting cognitive decline. However, prior studies produced mixed results.
Methods: This study investigated a large cohort (n = 490) of Asian individuals attending memory clinics. Participants underwent comprehensive neuropsychological testing annually for five years. Retinal thickness was measured by OCT at baseline. We assessed the association between baseline retinal thickness and subsequent cognitive decline.
Results: Participants with a significantly thinner macular ganglion cell-inner plexiform layer (GCIPL) at baseline (≤ 79 μm) had a 38% greater risk of cognitive decline compared to those who did not (≥ 88 μm; p = 0.037). In a multivariable model accounting for age, education, cerebrovascular disease status, hypertension, hyperlipidemia, diabetes and smoking, thinner GCIPL was associated with an increased risk of cognitive decline (hazard ratio = 1.14, 95% CI = 1.01-1.30, p = 0.035). Retinal nerve fiber layer (RNFL) thickness was not associated with cognitive decline.
Conclusions: This study suggests that OCT-derived macular GCIPL thickness may be a valuable biomarker for identifying individuals at risk of cognitive decline. Our findings highlight GCIPL as a potentially more sensitive marker compared to RNFL thickness for detecting early neurodegenerative changes.
Trial registration number and name of the trial registry: National Healthcare Group Domain-Specific Review Board (NHG DSRB) reference numbers DSRB Ref: 2018/01368. Name of the trial: Harmonisation project.
期刊介绍:
Alzheimer's Research & Therapy is an international peer-reviewed journal that focuses on translational research into Alzheimer's disease and other neurodegenerative diseases. It publishes open-access basic research, clinical trials, drug discovery and development studies, and epidemiologic studies. The journal also includes reviews, viewpoints, commentaries, debates, and reports. All articles published in Alzheimer's Research & Therapy are included in several reputable databases such as CAS, Current contents, DOAJ, Embase, Journal Citation Reports/Science Edition, MEDLINE, PubMed, PubMed Central, Science Citation Index Expanded (Web of Science) and Scopus.