泰国白内障患者的眼部生物特征及其与系统和人口因素的关系。

Clinical ophthalmology (Auckland, N.Z.) Pub Date : 2025-03-31 eCollection Date: 2025-01-01 DOI:10.2147/OPTH.S515960
Anyarak Amornpetchsathaporn, Somporn Chantra, Kornkamol Annopawong, Kasem Seresirikachorn, Kittipong Kongsomboon, Boonsong Wanichwecharungruang
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引用次数: 0

摘要

目的:探讨有无系统性疾病的白内障患者眼部生物测量的差异,并评估泰国白内障患者眼部生物测量与人口统计学因素之间的关系。方法:一项横断面研究于2020年11月至2023年5月在泰国Rajavithi医院进行。使用IOL Master 700进行眼部生物测量,并从医疗记录中提取人口统计数据。Pearson’s和Spearman相关性评估了眼生物统计学和人口统计学/系统因素之间的关系。单因素和多因素回归分析确定了相关因素。结果:该研究包括6330名参与者。最常见的全身性疾病是糖尿病(25.7%),其次是高血压(6.9%)、血脂异常(5.4%)和慢性肾脏疾病(CKD)(3.0%)。年龄与晶状体厚度呈正相关,与角膜轴长(AL)、前房深度(ACD)、角膜中央厚度(CCT)呈负相关。多因素分析显示,AL随年龄的增长而降低(β = -0.012, p < 0.001),女性AL较短(β = -0.193, p < 0.001),糖尿病AL较短(β = -0.130, p < 0.001)。随着年龄的增长,ACD变浅(β = -0.008, p < 0.001), CKD患者的ACD变浅(β = -0.079, p = 0.013),而女性的ACD变浅(β = -0.159, p < 0.001)。LT随年龄增加而增加(β = 0.018, p < 0.001),糖尿病患者(β = 0.044, p = 0.012)、CKD患者(β = 0.162, p < 0.001)和女性(β = 0.070, p = 0.001)的LT增加。CCT随年龄的增长而降低(β = -0.279, p < 0.001),但糖尿病患者(β = 4.905, p < 0.001)和血脂异常患者(β = 6.881, p = 0.003)的CCT较高。结论:泰国白内障患者的眼部生物测量因性别、全身性疾病(糖尿病、血脂异常、慢性肾病)和人口统计学因素而有显著差异。这些发现强调了将系统性疾病管理纳入术前计划以优化白内障手术结果的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ocular Biometry Profile and Its Associations with Systemic and Demographic Factors in Thai Cataract Patients.

Objective: To investigate the differences in ocular biometry between cataract patients with and without systemic diseases and assess relationships between ocular biometry and demographic factors in Thai cataract patients.

Methods: A cross-sectional study was conducted from November 2020 to May 2023 at Rajavithi Hospital, Thailand. Ocular biometry was measured using the IOL Master 700, and demographic data were extracted from medical records. Pearson's and Spearman correlations assessed relationships between ocular biometry and demographic/systemic factors. Univariate and multivariate regression analyses identified associated factors.

Results: The study included 6,330 participants. The most common systemic disease was diabetes (25.7%), followed by hypertension (6.9%), dyslipidemia (5.4%), and chronic kidney disease (CKD) (3.0%). Age correlated positively with lens thickness and negatively with axial length (AL), anterior chamber depth (ACD), and central corneal thickness (CCT). Multivariate analysis showed AL decreased with age (β = -0.012, p < 0.001) and was shorter in females (β = -0.193, p < 0.001) and diabetics (β = -0.130, p < 0.001). ACD was shallower with age (β = -0.008, p < 0.001) and in CKD patients (β = -0.079, p = 0.013), while females had shallower ACD (β = -0.159, p < 0.001). LT increased with age (β = 0.018, p < 0.001) and was greater in diabetics (β = 0.044, p = 0.012), CKD patients (β = 0.162, p < 0.001), and females (β = 0.070, p = 0.001). CCT decreased with age (β = -0.279, p < 0.001) but was higher in diabetics (β = 4.905, p < 0.001) and dyslipidemia (β = 6.881, p = 0.003).

Conclusion: Ocular biometry varies significantly with gender, systemic diseases (diabetes, dyslipidemia, CKD), and demographic factors among Thai cataract patients. These findings highlight the importance of incorporating systemic disease management into preoperative planning to optimize cataract surgery outcomes.

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