Serum Uric Acid and Intermediate Age-Related Macular Degeneration: A Nationally Representative Study in the United States.

IF 2.6 3区 医学 Q2 OPHTHALMOLOGY
Han Chen, Nuo Xu, Huiying Rao
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引用次数: 0

Abstract

Purpose: The purpose of this study was to investigate the associations between serum uric acid (SUA) levels and intermediate age-related macular degeneration (iAMD) in the United States population.

Methods: This study included data from the 2005 to 2008 National Health and Nutrition Examination Survey. Weighted logistic regression models (crude, partially adjusted, and fully adjusted) were used to assess linear associations between SUA levels and iAMD. Restricted cubic spline (RCS) analysis tested nonlinear associations. Subgroup analyses stratified by age, sex, and race/ethnicity further explored potential effect modifiers.

Results: Among 3208 participants aged ≥50 years, 420 (11.2%) had iAMD and 766 (22.3%) exhibited hyperuricemia (HUA). Logistic regression models showed no significant associations between SUA levels and the odds of developing iAMD across all three models. In the fully adjusted model, the odds ratio (OR) comparing the highest to the lowest SUA quintile was 0.95 (95% confidence interval [CI] = 0.53-1.70, P = 0.84). The trend test indicated no significant increase in the odds of iAMD across quintiles of SUA levels (P for trend = 0.60). Similarly, no significant association was found when SUA values were categorized as HUA or non-HUA (P = 0.66). RCS analysis did not demonstrate a nonlinear relationship between SUA levels and iAMD risk. Subgroup analyses showed no significant differences across age, sex, and race/ethnicity stratifications.

Conclusions: Elevated SUA levels were not associated with increased iAMD risk in this large, nationally representative sample.

Translational relevance: Our study provides insights into the relationship between SUA levels and iAMD, challenging "hyperuricemic AMD" and offering valuable implications for clinical risk assessment.

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血清尿酸与中度年龄相关性黄斑变性:美国一项具有全国代表性的研究。
目的:本研究的目的是调查美国人群中血清尿酸(SUA)水平与中度年龄相关性黄斑变性(iAMD)之间的关系。方法:本研究纳入2005 ~ 2008年全国健康与营养调查资料。加权逻辑回归模型(粗、部分调整和完全调整)用于评估SUA水平与iAMD之间的线性关联。限制三次样条(RCS)分析检验了非线性关联。按年龄、性别和种族/民族分层的亚组分析进一步探讨了潜在的影响因素。结果:在3208名年龄≥50岁的参与者中,420名(11.2%)患有iAMD, 766名(22.3%)患有高尿酸血症(HUA)。逻辑回归模型显示,在所有三种模型中,SUA水平与发生iAMD的几率之间没有显著关联。在完全调整模型中,SUA最高五分位数与最低五分位数的比值比(OR)为0.95(95%置信区间[CI] = 0.53-1.70, P = 0.84)。趋势检验显示,在SUA水平的五分位数中,iAMD的几率没有显著增加(趋势P = 0.60)。同样,当SUA值被归类为HUA或非HUA时,没有发现显著的关联(P = 0.66)。RCS分析没有显示SUA水平与iAMD风险之间的非线性关系。亚组分析显示,年龄、性别和种族/民族分层之间没有显著差异。结论:在这个具有全国代表性的大型样本中,SUA水平升高与iAMD风险增加无关。翻译相关性:我们的研究提供了SUA水平与iAMD之间关系的见解,挑战了“高尿酸血症性AMD”,并为临床风险评估提供了有价值的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Translational Vision Science & Technology
Translational Vision Science & Technology Engineering-Biomedical Engineering
CiteScore
5.70
自引率
3.30%
发文量
346
审稿时长
25 weeks
期刊介绍: Translational Vision Science & Technology (TVST), an official journal of the Association for Research in Vision and Ophthalmology (ARVO), an international organization whose purpose is to advance research worldwide into understanding the visual system and preventing, treating and curing its disorders, is an online, open access, peer-reviewed journal emphasizing multidisciplinary research that bridges the gap between basic research and clinical care. A highly qualified and diverse group of Associate Editors and Editorial Board Members is led by Editor-in-Chief Marco Zarbin, MD, PhD, FARVO. The journal covers a broad spectrum of work, including but not limited to: Applications of stem cell technology for regenerative medicine, Development of new animal models of human diseases, Tissue bioengineering, Chemical engineering to improve virus-based gene delivery, Nanotechnology for drug delivery, Design and synthesis of artificial extracellular matrices, Development of a true microsurgical operating environment, Refining data analysis algorithms to improve in vivo imaging technology, Results of Phase 1 clinical trials, Reverse translational ("bedside to bench") research. TVST seeks manuscripts from scientists and clinicians with diverse backgrounds ranging from basic chemistry to ophthalmic surgery that will advance or change the way we understand and/or treat vision-threatening diseases. TVST encourages the use of color, multimedia, hyperlinks, program code and other digital enhancements.
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