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三维人体表面测量与冠状动脉疾病的相关性研究。

Associations of Three-Dimensional Anthropometric Body Surface Scanning Measurements and Coronary Artery Disease.

机构信息

Division of Cardiology, Department of Internal Medicine, Chang Gung University College of Medicine, Chang Gung Memorial Hospital, Keelung 204, Taiwan.

Division of Nephrology, Department of Internal Medicine, Chang Gung University College of Medicine, Chang Gung Memorial Hospital, Keelung 204, Taiwan.

出版信息

Medicina (Kaunas). 2023 Mar 15;59(3):570. doi: 10.3390/medicina59030570.

Abstract

: The relationship between three-dimensional (3D) scanning-derived body surface measurements and biomarkers in patients with coronary artery disease (CAD) were assessed. : The recruitment of 98 patients with CAD confirmed by cardiac catheterization and 98 non-CAD patients were performed between March 2016 and December 2017. A health questionnaire on basic information, life style variables, and past medical and family history was completed. 3D body surface measurements and biomarkers were obtained. Differences between the two groups were assessed and multivariable analysis performed. : It was found that chest width (odds ratio [OR] 0.761, 95% confidence interval [CI] = 0.586-0.987, = 0.0399), right arm length (OR 0.743, 95% CI = 0.632-0.875, = 0.0004), waist circumference (OR 1.119, 95% CI = 1.035-1.21, = 0.0048), leptin (OR 1.443, 95% CI = 1.184-1.76, = 0.0003), adiponectin (OR 0.978, 95% CI = 0.963-0.994, = 0.006), and interleukin 6 (OR 1.181, 95% CI = 1.021-1.366, = 0.0254) were significantly associated with CAD. The combination of biomarker scores and body measurement scores had the greatest area under the curve and best association with CAD (area under the curve of 0.8049 and 95% CI = 0.7440-0.8657). Conclusions: Our study suggests that 3D derived body surface measurements in combination with leptin, adiponectin, and interleukin 6 levels may direct us to those at risk of CAD, allowing a non-invasive approach to identifying high-risk patients.

摘要

研究评估了三维(3D)扫描获得的体表面积测量值与冠心病(CAD)患者生物标志物之间的关系。

本研究于 2016 年 3 月至 2017 年 12 月期间共招募了 98 例经心脏导管检查确诊为 CAD 的患者和 98 例非 CAD 患者。患者填写了一份关于基本信息、生活方式变量以及既往病史和家族病史的健康问卷。测量了患者的 3D 体表面积并检测了生物标志物。评估了两组间的差异并进行了多变量分析。

结果发现,胸宽(比值比 [OR] 0.761,95%置信区间 [CI] = 0.586-0.987, = 0.0399)、右臂长(OR 0.743,95% CI = 0.632-0.875, = 0.0004)、腰围(OR 1.119,95% CI = 1.035-1.21, = 0.0048)、瘦素(OR 1.443,95% CI = 1.184-1.76, = 0.0003)、脂联素(OR 0.978,95% CI = 0.963-0.994, = 0.006)和白细胞介素 6(OR 1.181,95% CI = 1.021-1.366, = 0.0254)与 CAD 显著相关。生物标志物评分和体测评分的联合具有最大的曲线下面积和与 CAD 最强的关联(曲线下面积为 0.8049,95% CI = 0.7440-0.8657)。结论:我们的研究表明,3D 衍生的体表面积测量值联合瘦素、脂联素和白细胞介素 6 水平可能有助于识别 CAD 高危患者,为非侵入性识别高危患者提供了一种方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d78c/10056801/0215bcfbc840/medicina-59-00570-g001.jpg

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