Development and validation of a risk prediction model for visual impairment in older adults.
Development and validation of a risk prediction model for visual impairment in older adults.
复制标题
老年人视力损害风险预测模型的开发和验证。
DOI：
10.1016/j.ijnss.2023.06.010
复制
发表时间：
2023-07
影响因子：
3.8
通讯作者：
Wang, Aiping
中科院分区：
文献类型：
--
作者：
Zhao, Yue;Wang, Aiping
本研究旨在确定影响老年人视力障碍的风险因素，以开发和评估视力障碍风险预测模型。在这项以医院为基础的非匹配病例对照设计研究中，我们于2020年6月至12月期间招募了来自中国辽宁省一所教学医院眼科门诊和体检中心的586名参与者（训练组411名，内部测试组175名）。视力障碍的定义为最佳矫正视力<6/18（世界卫生组织定义）。评估了视力障碍的可能影响因素，包括人口因素、社会经济因素、疾病和药物因素以及生活方式。使用二元逻辑回归分析开发了视觉障碍风险预测模型。 ROC曲线下面积（AUC）用于评估所提出的预测模型的有效性。确定了老年人视力障碍的六个独立影响因素：年龄、收缩压、体力活动评分、糖尿病、自我报告的眼病史和教育水平。开发了老年人视力障碍风险预测模型，在训练集和内部测试集中显示出强大的预测能力，AUC 分别为 0.87（95%CI 0.83–0.90）和 0.81（95%CI 0.74–0.88）。老年人视力障碍的风险预测模型具有较高的预测能力。识别有视力障碍风险的老年人可以帮助医护人员采取适当的有针对性的早期教育和干预计划，以预防或延缓视力障碍，并防止老年人因视力障碍而受伤。
This study aimed to determine the risk factors that affect visual impairment in older adults for developing and evaluating a visual impairment risk prediction model. In this hospital-based unmatched case-control design study, we enrolled 586 participants (411 in the training set and 175 in the internal test set) from the ophthalmology clinic and physical examination center of a teaching hospital in Liaoning Province, China, from June to December 2020. Visual impairment was defined as best-corrected visual acuity <6/18 (The WHO definition). Possible influencing factors of visual impairment were assessed, including demographic factors, socioeconomic factors, disease and medication factors, and lifestyle. A visual impairment risk prediction model was developed using binary logistic regression analysis. The area under the ROC curve (AUC) was used to evaluate the effectiveness of the proposed prediction model. Six independent influencing factors of visual impairment in older adults were identified: age, systolic blood pressure, physical activity scores, diabetes, self-reported ocular disease history, and education level. A visual impairment risk prediction model for older adults was developed, showing powerful predictive ability in the training set and internal test set with AUCs of 0.87 (95%CI 0.83–0.90) and 0.81 (95%CI 0.74–0.88), respectively. The risk prediction model for visual impairment in older adults had high predictive power. Identifying older adults at risk for developing visual impairment can help healthcare workers to adopt appropriate targeted programs for early education and intervention to prevent or delay visual impairment and prevent injuries due to visual impairment in older adults.
登录
查看更多内容
影响因子：
16.2
作者：
Jones CD;Greenwood RH;Misra A;Bachmann MO
通讯作者：
Bachmann MO
影响因子：
1.8
作者：
Hamedani, Ali G.;VanderBeek, Brian L.;Willis, Allison W.
通讯作者：
Willis, Allison W.
影响因子：
3.4
作者：
Wang, Ya Xing;Wei, Wen Bin;Jonas, Jost B.
通讯作者：
Jonas, Jost B.
影响因子：
4.2
作者：
Varma, Rohit;Choudhury, Farzana;Klein, Ronald;Chung, Jessica;Torres, Mina;Azen, Stanley P.
通讯作者：
Azen, Stanley P.
影响因子：
13.7
作者：
Chopra, Vikas;Varma, Rohit;Azen, Stanley P.
通讯作者：
Azen, Stanley P.