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肥胖个体中与心血管疾病风险相关的微血管差异。

Microvascular differences in individuals with obesity at risk of developing cardiovascular disease.

机构信息

Division of Nephrology, Department of Internal Medicine, The Einthoven Laboratory for Vascular and Regenerative Medicine, Leiden University Medical Center, Leiden, the Netherlands.

Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.

出版信息

Obesity (Silver Spring). 2021 Sep;29(9):1439-1444. doi: 10.1002/oby.23222. Epub 2021 Aug 2.

DOI:10.1002/oby.23222
PMID:34338418
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8456841/
Abstract

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.

摘要

目的

本研究旨在探讨心血管疾病风险较高的肥胖个体的微血管差异。

方法

在这项荷兰肥胖症流行病学的横断面研究中,使用新开发的 GlycoCheck 软件(犹他州盐湖城的 Microvascular Health Solutions Inc.)评估了参与者的舌下微循环,该软件整合了最小毛细血管(4-7μm)和滋养血管(>10μm)内的红细胞速度。Framingham 风险评分用于计算 10 年心血管风险,分为低危、中危和高危组。采用方差分析评估组间微血管差异。

结果

共纳入 813 名参与者。高危组(n=168)与低危组(n=392)的微血管特征存在差异:高危组最小毛细血管数量减少 49%,滋养血管内的红细胞速度增加 9.1μm/s(95%CI:5.2-12.9)。速度校正的灌注边界区域无差异。

结论

研究观察到,在软件中添加红细胞速度后,旁流暗场成像能够检测出心血管疾病风险较高的肥胖个体的微循环差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea8/8456841/f96b040e4faf/OBY-29-1439-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea8/8456841/c86600a15a32/OBY-29-1439-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea8/8456841/f96b040e4faf/OBY-29-1439-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea8/8456841/c86600a15a32/OBY-29-1439-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ea8/8456841/f96b040e4faf/OBY-29-1439-g002.jpg

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