Normative data and standard operating procedures for static and dynamic retinal vessel analysis as biomarker for cardiovascular risk

Abstract Retinal vessel phenotype is predictive for cardiovascular outcome. This cross-sectional population-based study aimed to quantify normative data and standard operating procedures for static and dynamic retinal vessel analysis. We analysed central retinal arteriolar (CRAE) and venular (CRVE)...

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Autores principales: Lukas Streese, Giulia Lona, Jonathan Wagner, Raphael Knaier, Andri Burri, Gilles Nève, Denis Infanger, Walthard Vilser, Arno Schmidt-Trucksäss, Henner Hanssen
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/80367234851f418bb1081de22aed442c
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spelling oai:doaj.org-article:80367234851f418bb1081de22aed442c2021-12-02T16:14:56ZNormative data and standard operating procedures for static and dynamic retinal vessel analysis as biomarker for cardiovascular risk10.1038/s41598-021-93617-72045-2322https://doaj.org/article/80367234851f418bb1081de22aed442c2021-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-93617-7https://doaj.org/toc/2045-2322Abstract Retinal vessel phenotype is predictive for cardiovascular outcome. This cross-sectional population-based study aimed to quantify normative data and standard operating procedures for static and dynamic retinal vessel analysis. We analysed central retinal arteriolar (CRAE) and venular (CRVE) diameter equivalents, as well as retinal endothelial function, measured by flicker light‐induced maximal arteriolar (aFID) and venular (vFID) dilatation. Measurements were performed in 277 healthy individuals aged 20 to 82 years of the COmPLETE study. The mean range from the youngest compared to the oldest decade was 196 ± 13 to 166 ± 17 µm for CRAE, 220 ± 15 to 199 ± 16 µm for CRVE, 3.74 ± 2.17 to 3.79 ± 2.43% for aFID and 4.64 ± 1.85 to 3.86 ± 1.56% for vFID. Lower CRAE [estimate (95% CI): − 0.52 (− 0.61 to − 0.43)], CRVE [− 0.33 (− 0.43 to − 0.24)] and vFID [− 0.01 (− 0.26 to − 0.00)], but not aFID, were significantly associated with older age. Interestingly, higher blood pressure was associated with narrower CRAE [− 0.82 (− 1.00 to − 0.63)] but higher aFID [0.05 (0.03 to 0.07)]. Likewise, narrower CRAE were associated with a higher predicted aFID [− 0.02 (− 0.37 to − 0.01)]. We recommend use of defined standardized operating procedures and cardiovascular risk stratification based on normative data to allow for clinical implementation of retinal vessel analysis in a personalized medicine approach.Lukas StreeseGiulia LonaJonathan WagnerRaphael KnaierAndri BurriGilles NèveDenis InfangerWalthard VilserArno Schmidt-TrucksässHenner HanssenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Lukas Streese
Giulia Lona
Jonathan Wagner
Raphael Knaier
Andri Burri
Gilles Nève
Denis Infanger
Walthard Vilser
Arno Schmidt-Trucksäss
Henner Hanssen
Normative data and standard operating procedures for static and dynamic retinal vessel analysis as biomarker for cardiovascular risk
description Abstract Retinal vessel phenotype is predictive for cardiovascular outcome. This cross-sectional population-based study aimed to quantify normative data and standard operating procedures for static and dynamic retinal vessel analysis. We analysed central retinal arteriolar (CRAE) and venular (CRVE) diameter equivalents, as well as retinal endothelial function, measured by flicker light‐induced maximal arteriolar (aFID) and venular (vFID) dilatation. Measurements were performed in 277 healthy individuals aged 20 to 82 years of the COmPLETE study. The mean range from the youngest compared to the oldest decade was 196 ± 13 to 166 ± 17 µm for CRAE, 220 ± 15 to 199 ± 16 µm for CRVE, 3.74 ± 2.17 to 3.79 ± 2.43% for aFID and 4.64 ± 1.85 to 3.86 ± 1.56% for vFID. Lower CRAE [estimate (95% CI): − 0.52 (− 0.61 to − 0.43)], CRVE [− 0.33 (− 0.43 to − 0.24)] and vFID [− 0.01 (− 0.26 to − 0.00)], but not aFID, were significantly associated with older age. Interestingly, higher blood pressure was associated with narrower CRAE [− 0.82 (− 1.00 to − 0.63)] but higher aFID [0.05 (0.03 to 0.07)]. Likewise, narrower CRAE were associated with a higher predicted aFID [− 0.02 (− 0.37 to − 0.01)]. We recommend use of defined standardized operating procedures and cardiovascular risk stratification based on normative data to allow for clinical implementation of retinal vessel analysis in a personalized medicine approach.
format article
author Lukas Streese
Giulia Lona
Jonathan Wagner
Raphael Knaier
Andri Burri
Gilles Nève
Denis Infanger
Walthard Vilser
Arno Schmidt-Trucksäss
Henner Hanssen
author_facet Lukas Streese
Giulia Lona
Jonathan Wagner
Raphael Knaier
Andri Burri
Gilles Nève
Denis Infanger
Walthard Vilser
Arno Schmidt-Trucksäss
Henner Hanssen
author_sort Lukas Streese
title Normative data and standard operating procedures for static and dynamic retinal vessel analysis as biomarker for cardiovascular risk
title_short Normative data and standard operating procedures for static and dynamic retinal vessel analysis as biomarker for cardiovascular risk
title_full Normative data and standard operating procedures for static and dynamic retinal vessel analysis as biomarker for cardiovascular risk
title_fullStr Normative data and standard operating procedures for static and dynamic retinal vessel analysis as biomarker for cardiovascular risk
title_full_unstemmed Normative data and standard operating procedures for static and dynamic retinal vessel analysis as biomarker for cardiovascular risk
title_sort normative data and standard operating procedures for static and dynamic retinal vessel analysis as biomarker for cardiovascular risk
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/80367234851f418bb1081de22aed442c
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