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Microvascular differences in individuals with obesity at risk of developing cardiovascular disease
OBJECTIVE: This study aimed to investigate microvascular differences in individuals with obesity at risk for developing cardiovascular disease. METHODS: In this cross‐sectional Netherlands Epidemiology of Obesity study, participant sublingual microcirculation was assessed with a newly developed Glyc...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456841/ https://www.ncbi.nlm.nih.gov/pubmed/34338418 http://dx.doi.org/10.1002/oby.23222 |
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author | van der Velden, Anouk I. M. van den Berg, Bernard M. de Mutsert, Renée van der Vlag, Johan Jukema, J. Wouter Rosendaal, Frits R. Rabelink, Ton J. Vink, Hans |
author_facet | van der Velden, Anouk I. M. van den Berg, Bernard M. de Mutsert, Renée van der Vlag, Johan Jukema, J. Wouter Rosendaal, Frits R. Rabelink, Ton J. Vink, Hans |
author_sort | van der Velden, Anouk I. M. |
collection | PubMed |
description | OBJECTIVE: This study aimed to investigate microvascular differences in individuals with obesity at risk for developing cardiovascular disease. METHODS: In this cross‐sectional Netherlands Epidemiology of Obesity study, participant sublingual microcirculation was assessed with a newly developed GlycoCheck software (Microvascular Health Solutions Inc., Salt Lake City, Utah), which integrates red blood cell velocity within the smallest capillaries (4‐7 µm) and feed vessels (>10 µm). Framingham Risk Score was used to calculate 10‐year cardiovascular risk, divided into low‐, intermediate‐, and high‐risk groups. ANOVA was used to evaluate microvascular differences among the groups. RESULTS: A total of 813 participants were included. The high‐risk group (n = 168) was characterized by differences in the microvasculature compared with the low‐risk group (n = 392): the high‐risk group had a 49% reduction in the number of smallest capillaries and a 9.1‐µm/s (95% CI: 5.2‐12.9) higher red blood cell velocity in the feed vessels. No differences in velocity‐corrected perfused boundary regions were found. CONCLUSIONS: It was observed that, with adding red blood cell velocity to the software, sidestream dark field imaging is able to detect microcirculatory differences in a cohort of individuals with obesity at risk for developing cardiovascular disease. |
format | Online Article Text |
id | pubmed-8456841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84568412021-09-27 Microvascular differences in individuals with obesity at risk of developing cardiovascular disease van der Velden, Anouk I. M. van den Berg, Bernard M. de Mutsert, Renée van der Vlag, Johan Jukema, J. Wouter Rosendaal, Frits R. Rabelink, Ton J. Vink, Hans Obesity (Silver Spring) BRIEF CUTTING EDGE REPORTS OBJECTIVE: This study aimed to investigate microvascular differences in individuals with obesity at risk for developing cardiovascular disease. METHODS: In this cross‐sectional Netherlands Epidemiology of Obesity study, participant sublingual microcirculation was assessed with a newly developed GlycoCheck software (Microvascular Health Solutions Inc., Salt Lake City, Utah), which integrates red blood cell velocity within the smallest capillaries (4‐7 µm) and feed vessels (>10 µm). Framingham Risk Score was used to calculate 10‐year cardiovascular risk, divided into low‐, intermediate‐, and high‐risk groups. ANOVA was used to evaluate microvascular differences among the groups. RESULTS: A total of 813 participants were included. The high‐risk group (n = 168) was characterized by differences in the microvasculature compared with the low‐risk group (n = 392): the high‐risk group had a 49% reduction in the number of smallest capillaries and a 9.1‐µm/s (95% CI: 5.2‐12.9) higher red blood cell velocity in the feed vessels. No differences in velocity‐corrected perfused boundary regions were found. CONCLUSIONS: It was observed that, with adding red blood cell velocity to the software, sidestream dark field imaging is able to detect microcirculatory differences in a cohort of individuals with obesity at risk for developing cardiovascular disease. John Wiley and Sons Inc. 2021-08-02 2021-09 /pmc/articles/PMC8456841/ /pubmed/34338418 http://dx.doi.org/10.1002/oby.23222 Text en © 2021 The Authors. Obesity published by Wiley Periodicals LLC on behalf of The Obesity Society (TOS) 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 | BRIEF CUTTING EDGE REPORTS van der Velden, Anouk I. M. van den Berg, Bernard M. de Mutsert, Renée van der Vlag, Johan Jukema, J. Wouter Rosendaal, Frits R. Rabelink, Ton J. Vink, Hans Microvascular differences in individuals with obesity at risk of developing cardiovascular disease |
title | Microvascular differences in individuals with obesity at risk of developing cardiovascular disease |
title_full | Microvascular differences in individuals with obesity at risk of developing cardiovascular disease |
title_fullStr | Microvascular differences in individuals with obesity at risk of developing cardiovascular disease |
title_full_unstemmed | Microvascular differences in individuals with obesity at risk of developing cardiovascular disease |
title_short | Microvascular differences in individuals with obesity at risk of developing cardiovascular disease |
title_sort | microvascular differences in individuals with obesity at risk of developing cardiovascular disease |
topic | BRIEF CUTTING EDGE REPORTS |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8456841/ https://www.ncbi.nlm.nih.gov/pubmed/34338418 http://dx.doi.org/10.1002/oby.23222 |
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