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视网膜血流密度可预测视网膜静脉阻塞患者的心血管疾病风险。

Retinal perfusion density can predict cardiovascular disease risk in patients with retinal vein occlusion.

机构信息

Department of Vitreoretinal Diseases, Sankara Nethralaya, Chennai, Tamil Nadu, India.

出版信息

Indian J Ophthalmol. 2023 Feb;71(2):379-384. doi: 10.4103/ijo.IJO_1662_22.

Abstract

PURPOSE

To correlate microvascular changes and assess the relationship between microvascular changes and cardiovascular disease (CVD) risk in patients with retinal vein occlusion (RVO).

METHODS

Patients over 40 years of age with unilateral RVO were included in this prospective study. Those known to have cardiovascular disease were excluded. A detailed medical history was taken and physical exam was done to measure the height, weight, body mass index (BMI), and systolic blood pressure (SBP). A comprehensive eye check-up was followed by optical coherence tomography angiography (OCTA). Microvascular indices such as vessel density (VD) and perfusion density (PD) were noted. A statistical model was developed for prediction of CVD risk and was integrated with the World Health Organization (WHO)'s risk prediction charts.

RESULTS

This study included 42 patients with RVO and 22 controls with an age range of 42-82 years. There were 40 males (62.5%) and 24 females (37.5%). Along with age, SBP, and gender, perfusion density was found to have significant impact on CVD risk (P = 0.030). Reduction in PD was associated with increase in CVD risk. PD had a greater influence on CVD in <50 years age than in >70 years group. Using linear regression, a model with accuracy of 72.1% was developed for CVD risk prediction and was converted into color coded charts similar to WHO risk prediction charts.

CONCLUSION

These findings suggest a significant correlation between microvascular parameters and CVD risk in RVO patients. Based on these parameters, an easy-to-use and color-coded risk prediction chart was developed.

摘要

目的

探讨视网膜静脉阻塞(RVO)患者微血管变化与心血管疾病(CVD)风险的相关性。

方法

本前瞻性研究纳入了年龄在 40 岁以上的单侧 RVO 患者。排除已知患有心血管疾病的患者。详细询问病史,测量身高、体重、体重指数(BMI)和收缩压(SBP)。进行全面的眼部检查,然后进行光学相干断层扫描血管造影(OCTA)。记录微血管指数,如血管密度(VD)和灌注密度(PD)。建立预测 CVD 风险的统计模型,并与世界卫生组织(WHO)的风险预测图集成。

结果

本研究纳入了 42 例 RVO 患者和 22 例年龄在 42-82 岁的对照组。其中男性 40 例(62.5%),女性 24 例(37.5%)。除年龄、SBP 和性别外,灌注密度对 CVD 风险也有显著影响(P = 0.030)。PD 降低与 CVD 风险增加相关。PD 对<50 岁年龄组 CVD 的影响大于>70 岁年龄组。使用线性回归,建立了一种准确率为 72.1%的 CVD 风险预测模型,并将其转化为类似于 WHO 风险预测图的彩色编码图表。

结论

这些发现表明,RVO 患者的微血管参数与 CVD 风险之间存在显著相关性。基于这些参数,开发了一种易于使用且带有彩色编码的风险预测图表。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b02/10228965/1ca62bc7eb73/IJO-71-379-g001.jpg

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