Xiaoling Zhu1, Zhiheng Chen2, Pingting Yang3, Lei Liu4, Liuxin Wu5, Yaqin Wang6. 1. Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China. Electronic address: 1605285043@qq.com. 2. Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China; Health Management Research Center, Central South University, Changsha, Hunan, China. Electronic address: wdove.bb@163.com. 3. Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China; Health Management Research Center, Central South University, Changsha, Hunan, China. Electronic address: 446238213@qq.com. 4. Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China; Health Management Research Center, Central South University, Changsha, Hunan, China. Electronic address: liulei19890403@163.com. 5. Health Management Research Center, Central South University, Changsha, Hunan, China; Zhongguancun Xinzhiyuan Health Management Institute, Beijing, China. Electronic address: wuliuxin_xh@126.com. 6. Health Management Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China; Health Management Research Center, Central South University, Changsha, Hunan, China. Electronic address: wangy11@csu.edu.cn.
Abstract
BACKGROUND: Prediabetes is associated with a high risk of cardiovascular disease (CVD) and often occurs with dyslipidaemia. The present study investigated the association between subclinical atherosclerosis profiles and prediabetes with and without dyslipidaemia. METHODS: This cross-sectional analysis included 4786 participants (1441 subjects with prediabetes and 3345 healthy controls). Prediabetes was defined by fasting plasma glucose (FPG) 5.6-6.9mmol/L or HbA1c 5.7-6.4% without antidiabetic drugs. Different markers of subclinical atherosclerosis were analysed: the carotid intima-media thickness (CIMT), carotid plaques (CP), and brachial-ankle pulse wave velocity (baPWV). RESULTS: Subclinical atherosclerosis was significantly more prevalent in prediabetic subjects than in normoglycaemic subjects (P<0.001). Only individuals with prediabetes in the dyslipidaemic group had significantly elevated adjusted odds ratios for subclinical atherosclerosis profiles. When stratified by FPG-only, HbA1c-only or both, the three subcategories in combination with dyslipidaemia shared a similarly increased risk of subclinical atherosclerosis compared to normoglycaemia without dyslipidaemia (P<0.05). The risk profile increased directionally from FPG-only to HbA1c-only to both overall. CONCLUSION: Our data suggest that subclinical atherosclerotic changes in the prediabetic state are mainly seen in dyslipidaemic subjects. Thus, strategies to prevent atherogenic changes might focus on persons with prediabetes combined with dyslipidaemia, especially for the prediabetes-both subcategory, because of potential effects on CVD risk.
BACKGROUND:Prediabetes is associated with a high risk of cardiovascular disease (CVD) and often occurs with dyslipidaemia. The present study investigated the association between subclinical atherosclerosis profiles and prediabetes with and without dyslipidaemia. METHODS: This cross-sectional analysis included 4786 participants (1441 subjects with prediabetes and 3345 healthy controls). Prediabetes was defined by fasting plasma glucose (FPG) 5.6-6.9mmol/L or HbA1c 5.7-6.4% without antidiabetic drugs. Different markers of subclinical atherosclerosis were analysed: the carotid intima-media thickness (CIMT), carotid plaques (CP), and brachial-ankle pulse wave velocity (baPWV). RESULTS: Subclinical atherosclerosis was significantly more prevalent in prediabetic subjects than in normoglycaemic subjects (P<0.001). Only individuals with prediabetes in the dyslipidaemic group had significantly elevated adjusted odds ratios for subclinical atherosclerosis profiles. When stratified by FPG-only, HbA1c-only or both, the three subcategories in combination with dyslipidaemia shared a similarly increased risk of subclinical atherosclerosis compared to normoglycaemia without dyslipidaemia (P<0.05). The risk profile increased directionally from FPG-only to HbA1c-only to both overall. CONCLUSION: Our data suggest that subclinical atherosclerotic changes in the prediabetic state are mainly seen in dyslipidaemic subjects. Thus, strategies to prevent atherogenic changes might focus on persons with prediabetes combined with dyslipidaemia, especially for the prediabetes-both subcategory, because of potential effects on CVD risk.