Cargando…

Age‐related changes in the fractal dimension of the retinal microvasculature, effects of cardiovascular risk factors and smoking behaviour

PURPOSE: This cross‐sectional study investigates the association between retinal vessel complexity and age and studies the effects of cardiovascular health determinants. METHODS: Retinal vessel complexity was assessed by calculating the box‐counting fractal dimension (D(f)) from digital fundus photo...

Descripción completa

Detalles Bibliográficos
Autores principales: Lemmens, Sophie, Luyts, Martial, Gerrits, Nele, Ivanova, Anna, Landtmeeters, Charlien, Peeters, Reinout, Simons, Anne‐Sophie, Vercauteren, Julie, Sunaric‐Mégevand, Gordana, Van Keer, Karel, Molenberghs, Geert, De Boever, Patrick, Stalmans, Ingeborg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546094/
https://www.ncbi.nlm.nih.gov/pubmed/34747106
http://dx.doi.org/10.1111/aos.15047
_version_ 1784804965746737152
author Lemmens, Sophie
Luyts, Martial
Gerrits, Nele
Ivanova, Anna
Landtmeeters, Charlien
Peeters, Reinout
Simons, Anne‐Sophie
Vercauteren, Julie
Sunaric‐Mégevand, Gordana
Van Keer, Karel
Molenberghs, Geert
De Boever, Patrick
Stalmans, Ingeborg
author_facet Lemmens, Sophie
Luyts, Martial
Gerrits, Nele
Ivanova, Anna
Landtmeeters, Charlien
Peeters, Reinout
Simons, Anne‐Sophie
Vercauteren, Julie
Sunaric‐Mégevand, Gordana
Van Keer, Karel
Molenberghs, Geert
De Boever, Patrick
Stalmans, Ingeborg
author_sort Lemmens, Sophie
collection PubMed
description PURPOSE: This cross‐sectional study investigates the association between retinal vessel complexity and age and studies the effects of cardiovascular health determinants. METHODS: Retinal vessel complexity was assessed by calculating the box‐counting fractal dimension (D(f)) from digital fundus photographs of 850 subjects (3–97 years). All photographs were labelled as ‘non‐pathological’ by the treating ophthalmologist. RESULTS: Statistical models showed a significantly decreasing relationship between age and D(f) (linear: R‐squared = 0.1897, p < 0.0001; quadratic: R‐squared = 0.2343, p < 0.0001; cubic: R‐squared = 0.2721, p < 0.0001), with the cubic regression model offering the best compromise between accuracy and model simplicity. Multivariate cubic regression showed that age, spherical equivalent and smoking behaviour have an effect (p < 0.0001) on D(f). A significantly increasing effect of the number of pack‐years on D(f) was observed (effect: 0.0004, p = 0.0017), as well as a significantly decreasing effect of years since tobacco abstinence (effect: −0.0149, p < 0.0001). CONCLUSION: We propose using a cubic trend with age, refractive error and smoking behaviour when interpreting retinal vessel complexity.
format Online
Article
Text
id pubmed-9546094
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-95460942022-10-14 Age‐related changes in the fractal dimension of the retinal microvasculature, effects of cardiovascular risk factors and smoking behaviour Lemmens, Sophie Luyts, Martial Gerrits, Nele Ivanova, Anna Landtmeeters, Charlien Peeters, Reinout Simons, Anne‐Sophie Vercauteren, Julie Sunaric‐Mégevand, Gordana Van Keer, Karel Molenberghs, Geert De Boever, Patrick Stalmans, Ingeborg Acta Ophthalmol Original Articles PURPOSE: This cross‐sectional study investigates the association between retinal vessel complexity and age and studies the effects of cardiovascular health determinants. METHODS: Retinal vessel complexity was assessed by calculating the box‐counting fractal dimension (D(f)) from digital fundus photographs of 850 subjects (3–97 years). All photographs were labelled as ‘non‐pathological’ by the treating ophthalmologist. RESULTS: Statistical models showed a significantly decreasing relationship between age and D(f) (linear: R‐squared = 0.1897, p < 0.0001; quadratic: R‐squared = 0.2343, p < 0.0001; cubic: R‐squared = 0.2721, p < 0.0001), with the cubic regression model offering the best compromise between accuracy and model simplicity. Multivariate cubic regression showed that age, spherical equivalent and smoking behaviour have an effect (p < 0.0001) on D(f). A significantly increasing effect of the number of pack‐years on D(f) was observed (effect: 0.0004, p = 0.0017), as well as a significantly decreasing effect of years since tobacco abstinence (effect: −0.0149, p < 0.0001). CONCLUSION: We propose using a cubic trend with age, refractive error and smoking behaviour when interpreting retinal vessel complexity. John Wiley and Sons Inc. 2021-11-07 2022-08 /pmc/articles/PMC9546094/ /pubmed/34747106 http://dx.doi.org/10.1111/aos.15047 Text en © 2021 The Authors. Acta Ophthalmologica published by John Wiley & Sons Ltd on behalf of Acta Ophthalmologica Scandinavica Foundation. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Lemmens, Sophie
Luyts, Martial
Gerrits, Nele
Ivanova, Anna
Landtmeeters, Charlien
Peeters, Reinout
Simons, Anne‐Sophie
Vercauteren, Julie
Sunaric‐Mégevand, Gordana
Van Keer, Karel
Molenberghs, Geert
De Boever, Patrick
Stalmans, Ingeborg
Age‐related changes in the fractal dimension of the retinal microvasculature, effects of cardiovascular risk factors and smoking behaviour
title Age‐related changes in the fractal dimension of the retinal microvasculature, effects of cardiovascular risk factors and smoking behaviour
title_full Age‐related changes in the fractal dimension of the retinal microvasculature, effects of cardiovascular risk factors and smoking behaviour
title_fullStr Age‐related changes in the fractal dimension of the retinal microvasculature, effects of cardiovascular risk factors and smoking behaviour
title_full_unstemmed Age‐related changes in the fractal dimension of the retinal microvasculature, effects of cardiovascular risk factors and smoking behaviour
title_short Age‐related changes in the fractal dimension of the retinal microvasculature, effects of cardiovascular risk factors and smoking behaviour
title_sort age‐related changes in the fractal dimension of the retinal microvasculature, effects of cardiovascular risk factors and smoking behaviour
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9546094/
https://www.ncbi.nlm.nih.gov/pubmed/34747106
http://dx.doi.org/10.1111/aos.15047
work_keys_str_mv AT lemmenssophie agerelatedchangesinthefractaldimensionoftheretinalmicrovasculatureeffectsofcardiovascularriskfactorsandsmokingbehaviour
AT luytsmartial agerelatedchangesinthefractaldimensionoftheretinalmicrovasculatureeffectsofcardiovascularriskfactorsandsmokingbehaviour
AT gerritsnele agerelatedchangesinthefractaldimensionoftheretinalmicrovasculatureeffectsofcardiovascularriskfactorsandsmokingbehaviour
AT ivanovaanna agerelatedchangesinthefractaldimensionoftheretinalmicrovasculatureeffectsofcardiovascularriskfactorsandsmokingbehaviour
AT landtmeeterscharlien agerelatedchangesinthefractaldimensionoftheretinalmicrovasculatureeffectsofcardiovascularriskfactorsandsmokingbehaviour
AT peetersreinout agerelatedchangesinthefractaldimensionoftheretinalmicrovasculatureeffectsofcardiovascularriskfactorsandsmokingbehaviour
AT simonsannesophie agerelatedchangesinthefractaldimensionoftheretinalmicrovasculatureeffectsofcardiovascularriskfactorsandsmokingbehaviour
AT vercauterenjulie agerelatedchangesinthefractaldimensionoftheretinalmicrovasculatureeffectsofcardiovascularriskfactorsandsmokingbehaviour
AT sunaricmegevandgordana agerelatedchangesinthefractaldimensionoftheretinalmicrovasculatureeffectsofcardiovascularriskfactorsandsmokingbehaviour
AT vankeerkarel agerelatedchangesinthefractaldimensionoftheretinalmicrovasculatureeffectsofcardiovascularriskfactorsandsmokingbehaviour
AT molenberghsgeert agerelatedchangesinthefractaldimensionoftheretinalmicrovasculatureeffectsofcardiovascularriskfactorsandsmokingbehaviour
AT deboeverpatrick agerelatedchangesinthefractaldimensionoftheretinalmicrovasculatureeffectsofcardiovascularriskfactorsandsmokingbehaviour
AT stalmansingeborg agerelatedchangesinthefractaldimensionoftheretinalmicrovasculatureeffectsofcardiovascularriskfactorsandsmokingbehaviour