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Ethnicity and skin autofluorescence-based risk-engines for cardiovascular disease and diabetes mellitus

Skin auto fluorescence (SAF) is used as a proxy for the accumulation of advanced glycation end products (AGEs) and has been proposed to stratify patients into cardiovascular disease (CVD) and diabetes mellitus (DM) risk groups. This study evaluates the effects of seven different ethnicities (Arab, C...

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Autores principales: Ahmad, Muhammad Saeed, Kimhofer, Torben, Ahmad, Sultan, AlAma, Mohammed Nabil, Mosli, Hala Hisham, Hindawi, Salwa Ibrahim, Mook-Kanamori, Dennis O., Šebeková, Katarína, Damanhouri, Zoheir Abdullah, Holmes, Elaine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5607192/
https://www.ncbi.nlm.nih.gov/pubmed/28931094
http://dx.doi.org/10.1371/journal.pone.0185175
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author Ahmad, Muhammad Saeed
Kimhofer, Torben
Ahmad, Sultan
AlAma, Mohammed Nabil
Mosli, Hala Hisham
Hindawi, Salwa Ibrahim
Mook-Kanamori, Dennis O.
Šebeková, Katarína
Damanhouri, Zoheir Abdullah
Holmes, Elaine
author_facet Ahmad, Muhammad Saeed
Kimhofer, Torben
Ahmad, Sultan
AlAma, Mohammed Nabil
Mosli, Hala Hisham
Hindawi, Salwa Ibrahim
Mook-Kanamori, Dennis O.
Šebeková, Katarína
Damanhouri, Zoheir Abdullah
Holmes, Elaine
author_sort Ahmad, Muhammad Saeed
collection PubMed
description Skin auto fluorescence (SAF) is used as a proxy for the accumulation of advanced glycation end products (AGEs) and has been proposed to stratify patients into cardiovascular disease (CVD) and diabetes mellitus (DM) risk groups. This study evaluates the effects of seven different ethnicities (Arab, Central-East African, Eastern Mediterranean, European, North African, South Asian and Southeast Asian) and gender on SAF as well as validating SAF assessment as a risk estimation tool for CVD and DM in an Arabian cohort. SAF data from self-reported healthy 2,780 individuals, collated from three independent studies, has been linear modelled using age and gender as a covariate. A cross-study harmonized effect size (Cohens’d) is provided for each ethnicity. Furthermore, new data has been collected from a clinically well-defined patient group of 235 individuals, to evaluate SAF as a clinical tool for DM and CVD-risk estimation in an Arab cohort. In an Arab population, SAF-based CVD and/or DM risk-estimation can be improved by referencing to ethnicity and gender-specific SAF values. Highest SAF values were observed for the North African population, followed by East Mediterranean, Arab, South Asian and European populations. The South Asian population had a slightly steeper slope in SAF values with age compared to other ethnic groups. All ethnic groups except Europeans showed a significant gender effect. When compared with a European group, effect size was highest for Eastern Mediterranean group and lowest for South Asian group. The Central-East African and Southeast Asian ethnicity matched closest to the Arab and Eastern Mediterranean ethnicities, respectively. Ethnic and gender-specific data improves performance in SAF-based CVD and DM risk estimation. The provided harmonized effect size allows a direct comparison of SAF in different ethnicities. For the first time, gender differences in SAF are described for North African and East Mediterranean populations.
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spelling pubmed-56071922017-10-09 Ethnicity and skin autofluorescence-based risk-engines for cardiovascular disease and diabetes mellitus Ahmad, Muhammad Saeed Kimhofer, Torben Ahmad, Sultan AlAma, Mohammed Nabil Mosli, Hala Hisham Hindawi, Salwa Ibrahim Mook-Kanamori, Dennis O. Šebeková, Katarína Damanhouri, Zoheir Abdullah Holmes, Elaine PLoS One Research Article Skin auto fluorescence (SAF) is used as a proxy for the accumulation of advanced glycation end products (AGEs) and has been proposed to stratify patients into cardiovascular disease (CVD) and diabetes mellitus (DM) risk groups. This study evaluates the effects of seven different ethnicities (Arab, Central-East African, Eastern Mediterranean, European, North African, South Asian and Southeast Asian) and gender on SAF as well as validating SAF assessment as a risk estimation tool for CVD and DM in an Arabian cohort. SAF data from self-reported healthy 2,780 individuals, collated from three independent studies, has been linear modelled using age and gender as a covariate. A cross-study harmonized effect size (Cohens’d) is provided for each ethnicity. Furthermore, new data has been collected from a clinically well-defined patient group of 235 individuals, to evaluate SAF as a clinical tool for DM and CVD-risk estimation in an Arab cohort. In an Arab population, SAF-based CVD and/or DM risk-estimation can be improved by referencing to ethnicity and gender-specific SAF values. Highest SAF values were observed for the North African population, followed by East Mediterranean, Arab, South Asian and European populations. The South Asian population had a slightly steeper slope in SAF values with age compared to other ethnic groups. All ethnic groups except Europeans showed a significant gender effect. When compared with a European group, effect size was highest for Eastern Mediterranean group and lowest for South Asian group. The Central-East African and Southeast Asian ethnicity matched closest to the Arab and Eastern Mediterranean ethnicities, respectively. Ethnic and gender-specific data improves performance in SAF-based CVD and DM risk estimation. The provided harmonized effect size allows a direct comparison of SAF in different ethnicities. For the first time, gender differences in SAF are described for North African and East Mediterranean populations. Public Library of Science 2017-09-20 /pmc/articles/PMC5607192/ /pubmed/28931094 http://dx.doi.org/10.1371/journal.pone.0185175 Text en © 2017 Ahmad et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ahmad, Muhammad Saeed
Kimhofer, Torben
Ahmad, Sultan
AlAma, Mohammed Nabil
Mosli, Hala Hisham
Hindawi, Salwa Ibrahim
Mook-Kanamori, Dennis O.
Šebeková, Katarína
Damanhouri, Zoheir Abdullah
Holmes, Elaine
Ethnicity and skin autofluorescence-based risk-engines for cardiovascular disease and diabetes mellitus
title Ethnicity and skin autofluorescence-based risk-engines for cardiovascular disease and diabetes mellitus
title_full Ethnicity and skin autofluorescence-based risk-engines for cardiovascular disease and diabetes mellitus
title_fullStr Ethnicity and skin autofluorescence-based risk-engines for cardiovascular disease and diabetes mellitus
title_full_unstemmed Ethnicity and skin autofluorescence-based risk-engines for cardiovascular disease and diabetes mellitus
title_short Ethnicity and skin autofluorescence-based risk-engines for cardiovascular disease and diabetes mellitus
title_sort ethnicity and skin autofluorescence-based risk-engines for cardiovascular disease and diabetes mellitus
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5607192/
https://www.ncbi.nlm.nih.gov/pubmed/28931094
http://dx.doi.org/10.1371/journal.pone.0185175
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