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Wang H, Mo Z, Sui H, Qi Y, Xu P, Zheng J, Zhang T, Qi X, Cui C. Association of baseline and dynamic arterial stiffness status with dyslipidemia: a cohort study. Front Endocrinol (Lausanne) 2023; 14:1243673. [PMID: 38075050 PMCID: PMC10704037 DOI: 10.3389/fendo.2023.1243673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Accepted: 11/08/2023] [Indexed: 12/18/2023] Open
Abstract
Background and aims Dyslipidemia is known to contribute to arterial stiffness, while the inverse association remains unknown. This study aimed to explore the association of baseline arterial stiffness and its changes, as determined by brachial-ankle pulse wave velocity (baPWV), with dyslipidemia onset in the general population. Methods This study enrolled participants from Beijing Health Management Cohort using measurements of the first visit from 2012 to 2013 as baseline, and followed until the dyslipidemia onset or the end of 2019. Unadjusted and adjusted Cox proportional regression models were used to evaluate the associations of baseline baPWV and baPWV transition (persistent low, onset, remitted and persistent high) with incident dyslipidemia. Results Of 4362 individuals (mean age: 55.5 years), 1490 (34.2%) developed dyslipidemia during a median follow-up of 5.9 years. After adjusting for potential confounders, participants with elevated arterial stiffness at baseline had an increased risk of dyslipidemia (HR, 1.194; 95% CI, 1.050-1.358). Compared with persistent low baPWV, new-onset and persistent high baPWV were associated with a 51.2% and 37.1% excess risk of dyslipidemia. Conclusion The findings indicated that arterial stiffness is an early risk factor of dyslipidemia, suggesting a bidirectional association between arterial stiffness and lipid metabolism.
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Affiliation(s)
| | | | | | | | | | | | | | - Xin Qi
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
| | - Cancan Cui
- China-Japan Union Hospital of Jilin University, Jilin University, Jilin, China
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Xie Y, Qu P, Guo L, Xu J, Zhu L, Tan Y, Wen T, Liu L. Comparison between Fasting and Non-Fasting Cut-Off Values of Triglyceride in Diagnosing High Triglyceride in Chinese Hypertensive Outpatients. J Clin Med 2023; 12:jcm12072539. [PMID: 37048623 PMCID: PMC10095265 DOI: 10.3390/jcm12072539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 02/07/2023] [Accepted: 02/15/2023] [Indexed: 03/30/2023] Open
Abstract
Background: Hypertension (HBP) often occurs together with hypertriglyceridemia which indicates elevated triglyceride (TG) and remnant cholesterol (RC) levels. Non-fasting (i.e., postprandial) blood lipid test after a daily meal has been recommended by the European Atherosclerosis Society (EAS). However, little is known about the difference between fasting and non-fasting cut-off values in assessing high TG (HTG) and high RC (HRC) in HBP outpatients. Methods: 225 Chinese outpatients with HBP, including 119 fasting patients (i.e., fasting group) and 106 non-fasting patients (i.e., non-fasting group) were enrolled in this study. Non-fasting levels of blood lipids at 2 h after a daily breakfast were also tested in 33 patients among the fasting group. Venous blood samples were collected. Results: The non-fasting group had significantly higher levels of TG and RC while lower levels of total cholesterol, low-density lipoprotein cholesterol, and non-high-density lipoprotein cholesterol than the fasting group (p < 0.05). According to the TG and RC cut-off values of the EAS, the percentages of HTG and HRC in the non-fasting group were 72.6% and 70.8%, respectively, whereas those in the fasting group were 57.1% and 52.9%, respectively. According to the cut-off value of marked HTG commonly used in the Chinese population in clinical practice, the percentage of marked HTG in the non-fasting group was 57.5%, whereas that in the fasting group was 34.5%. However, the percentages of HTG (57.6% vs. 51.5%) and HRC (51.5% vs. 51.5%) marked HTG (30.3% vs. 33.3%) in the fasting state and at 2 h after a daily breakfast in 33 outpatients did not reach statistical significance. Conclusion: Non-fasting blood lipid tests could find more individuals with HTG as well as those with marked HTG among Chinese outpatients with HBP. It indicates that non-fasting blood lipid tests are worth being recommended in patients with HBP.
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Tan Y, Lin Q, Xu J, Zhu L, Guo L, Xie Y, Du X, Zhang S, Wen T, Liu L. Non-fasting Changes in Blood Lipids After Three Daily Meals Within a Day in Chinese Inpatients With Cardiovascular Diseases. Front Cardiovasc Med 2022; 9:799300. [PMID: 35498036 PMCID: PMC9039513 DOI: 10.3389/fcvm.2022.799300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 02/28/2022] [Indexed: 11/13/2022] Open
Abstract
Background Non-fasting (i.e., postprandial) lipid detection is recommended in clinical practice. However, the change in blood lipids in Chinese patients with cardiovascular diseases after three daily meals has never been reported yet. Methods Serum levels of blood lipids were measured or calculated in 77 inpatients (48 men and 29 women) at high or very high risk of atherosclerotic cardiovascular disease (ASCVD) in the fasting state and at 4 h after three meals within a day according to their diet habits. Results Female patients showed significantly higher level of high-density lipoprotein cholesterol (HDL-C) than male patients, and the gender difference in other lipid parameters did not reach statistical significance at any time-point. Levels of triglyceride (TG) and remnant cholesterol (RC) increased, while that of low-density lipoprotein cholesterol (LDL-C) decreased significantly after three meals (p < 0.05). Levels of HDL-C, total cholesterol (TC), and non-high-density lipoprotein cholesterol (non-HDL-C) showed smaller changes after three meals. Percent reductions in the non-fasting LDL-C levels after lunch and supper were around 20%, which were greater than that after breakfast. The percent reductions in the non-fasting non-HDL-C levels after three meals were smaller than those in the non-fasting LDL-C levels. Patients with TG level ≥ 2.0 mmol/L (177 mg/dL) after lunch had significantly greater absolute reduction of LDL-C level than those with TG level < 2.0 mmol/L (177 mg/dL) after lunch [–0.69 mmol/L (–27 mg/dL) vs. –0.36 mmol/L (–14 mg/dL), p<0.01]. There was a significant and negative correlation between absolute change in LDL-C level and that in TG level (r = −0.32) or RC level (r = −0.67) after lunch (both p<0.01). Conclusion LDL-C level decreased significantly after three daily meals in Chinese patients at high or very high risk of ASCVD, especially when TG level reached its peak after lunch. Relatively, non-HDL-C level was more stable than LDL-C level postprandially. Therefore, when LDL-C level was measured in the non-fasting state, non-HDL-C level could be evaluated simultaneously to reduce the interference of related factors, such as postprandial hypertriglyceridemia, on detection.
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Affiliation(s)
- Yangrong Tan
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Qiuzhen Lin
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Jin Xu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Liyuan Zhu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Liling Guo
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Yingying Xie
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Xiao Du
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Shilan Zhang
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
| | - Tie Wen
- Department of Emergency Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Emergency Medicine and Difficult Diseases Institute, The Second Xiangya Hospital, Central South University, Changsha, China
- Tie Wen,
| | - Ling Liu
- Department of Cardiovascular Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
- Research Institute of Blood Lipid and Atherosclerosis, Central South University, Changsha, China
- Modern Cardiovascular Disease Clinical Technology Research Center of Hunan Province, Changsha, China
- Cardiovascular Disease Research Center of Hunan Province, Changsha, China
- *Correspondence: Ling Liu,
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Luo D, Luo Y, Zou Y, Xu Y, Fu B, Yang D, Yang J, Xu C, Ling S, Li S, Qi A. Non-high-density lipoprotein cholesterol may predict the cardio-cerebrovascular risk in patients on maintenance hemodialysis. Lipids Health Dis 2021; 20:159. [PMID: 34774042 PMCID: PMC8590291 DOI: 10.1186/s12944-021-01546-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Accepted: 09/06/2021] [Indexed: 11/29/2022] Open
Abstract
Background Non-high-density lipoprotein cholesterol (non-HDL-C) may be an independent risk factor for cardio-cerebrovascular disease (CVD); however, the cutoff level in patients on maintenance hemodialysis (MHD) is unknown. Methods This was a retrospective multicenter study of MHD patients treated at 10 dialysis centers in Guangdong Province from July 1, 2016, to April 1, 2017. Laboratory test data were collected and CVD complications and outcomes recorded. Results In total, 1288 eligible patients were included in this study; the non-HDL-C interquartile range was 2.76 (2.24–3.45) mmol/L. Over a median follow-up time of 24 months, 141 patients developed CVD. The non-HDL-C level was a principal risk factor for such events (P < 0.05; 95% confidence interval 0.800–0.842). The maximum Youden index was 0.549 and the best cutoff > 3.39 mmol/L. Conclusion Higher baseline non-HDL-C levels may increase the CVD risk in MHD patients. Thus, non-HDL-C effectively predicts CVD.
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Affiliation(s)
- Denggui Luo
- The Fourth Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Yueming Luo
- The Fourth Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Yanhong Zou
- The Fourth Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Yuanzhao Xu
- The Fourth Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Bo Fu
- The Fourth Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Dong Yang
- The Fourth Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Jun Yang
- The Fourth Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Cai Xu
- The Fourth Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Shuyi Ling
- The Fourth Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China
| | - Shunmin Li
- The Fourth Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
| | - Airong Qi
- The Fourth Affiliated Hospital of Guangzhou University of Chinese Medicine, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
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