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Retinal perfusion density can predict cardiovascular disease risk in patients with retinal vein occlusion
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 t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228965/ https://www.ncbi.nlm.nih.gov/pubmed/36727323 http://dx.doi.org/10.4103/ijo.IJO_1662_22 |
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author | Raviselvan, Munispriyan Preethi, B Ratra, Dhanashree |
author_facet | Raviselvan, Munispriyan Preethi, B Ratra, Dhanashree |
author_sort | Raviselvan, Munispriyan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10228965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-102289652023-05-31 Retinal perfusion density can predict cardiovascular disease risk in patients with retinal vein occlusion Raviselvan, Munispriyan Preethi, B Ratra, Dhanashree Indian J Ophthalmol Original Article 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. Wolters Kluwer - Medknow 2023-02 2023-02-02 /pmc/articles/PMC10228965/ /pubmed/36727323 http://dx.doi.org/10.4103/ijo.IJO_1662_22 Text en Copyright: © 2023 Indian Journal of Ophthalmology https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Raviselvan, Munispriyan Preethi, B Ratra, Dhanashree Retinal perfusion density can predict cardiovascular disease risk in patients with retinal vein occlusion |
title | Retinal perfusion density can predict cardiovascular disease risk in patients with retinal vein occlusion |
title_full | Retinal perfusion density can predict cardiovascular disease risk in patients with retinal vein occlusion |
title_fullStr | Retinal perfusion density can predict cardiovascular disease risk in patients with retinal vein occlusion |
title_full_unstemmed | Retinal perfusion density can predict cardiovascular disease risk in patients with retinal vein occlusion |
title_short | Retinal perfusion density can predict cardiovascular disease risk in patients with retinal vein occlusion |
title_sort | retinal perfusion density can predict cardiovascular disease risk in patients with retinal vein occlusion |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10228965/ https://www.ncbi.nlm.nih.gov/pubmed/36727323 http://dx.doi.org/10.4103/ijo.IJO_1662_22 |
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