Lemche A V, Chaban O S, Lemche E
Institute of Clinical Research, Berlin, Germany.
Section of Psychosomatic Medicine, Bogomolets National Medical University, Kiev, Ukraine.
J Endocrinol Invest. 2017 May;40(5):539-546. doi: 10.1007/s40618-016-0601-y. Epub 2016 Dec 23.
Triglycerides are considered an emerging risk factor for cardiovascular mortality. Recent evidence relating depression and metabolic syndrome (MetS) implicated triglyceride levels. We thus investigated interrelations of self-reported depression severity (Zung) and MetS-related biological measures with CVD risk estimates in MetS patients.
N = 101 patients fulfilling International Diabetes Federation criteria for MetS from a nationwide sampled treatment cohort for MetS with familial T2DM risk or manifest T2DM in a Ukrainian governmental health care system were participants. Both laboratory and non-laboratory measures were included. Recent European cardiological SCORE system CVD risk estimates were used as outcome variables.
Following correlation matrix, we entered all variables into principal component analysis (PCA; 76.7% explained variance), followed by hierarchical regression and structural equation modeling (SEM). The PCA suggested a one-factor solution, where the latent variable showed highest loadings of SCORE risk estimates, triglycerides, depression severity, and pulse pressure. A comprehensive SEM was adjusted with 92.7% explained variance: overall CVD risk related to depression, pulse pressure, triglycerides, and fasting glucose.
The findings in this MetS sample suggest that triglycerides and depression severity are the key variables among MetS biomarkers in cross-sectionally associating with the fatal and total SCORE risk estimates in MetS.
甘油三酯被认为是心血管疾病死亡率的一个新出现的风险因素。最近有关抑郁症与代谢综合征（MetS）的证据涉及甘油三酯水平。因此，我们研究了自我报告的抑郁严重程度（zung）以及与MetS相关的生物学指标与MetS患者心血管疾病风险评估之间的相互关系。
来自乌克兰政府医疗保健系统中一个具有家族性2型糖尿病风险或明显2型糖尿病的全国性MetS抽样治疗队列的101名符合国际糖尿病联盟MetS标准的患者参与了研究。研究纳入了实验室和非实验室测量指标。近期欧洲心脏病学SCORE系统的心血管疾病风险评估被用作结果变量。
根据相关矩阵，我们将所有变量纳入主成分分析（PCA；解释方差为76.7%），随后进行层次回归和结构方程建模（SEM）。主成分分析提出了一个单因素解决方案，其中潜在变量在SCORE风险评估、甘油三酯、抑郁严重程度和脉压方面的负荷最高。一个综合的结构方程模型经调整后解释方差为92.7%：总体心血管疾病风险与抑郁、脉压、甘油三酯和空腹血糖有关。
该MetS样本中的研究结果表明，在与MetS的致命和总SCORE风险评估进行横断面关联时，甘油三酯和抑郁严重程度是MetS生物标志物中的关键变量。
