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Braet DJ, Pourak K, Mouli V, Palmon I, Dinh D, Osborne NH, Vemuri C, Brandt EJ. Non-high-density lipoprotein cholesterol and treatment targets in vascular surgery patients. Vascular 2024; 32:210-219. [PMID: 36113420 DOI: 10.1177/17085381221126232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2024]
Abstract
INTRODUCTION Low-density lipoprotein cholesterol (LDL) is a known contributing factor to atherosclerotic cardiovascular disease (ASCVD) and a primary therapeutic target for medical management of ASCVD. Non-high-density lipoprotein cholesterol (non-HDL) has recently been identified as a secondary therapeutic target but is not yet widely used in vascular surgery patients. We sought to assess if vascular surgery patients were undertreated per non-HDL therapeutic guidelines. METHODS This was an observational study that used a single-center database to identify a cohort of adult patients who received care from a vascular surgery provider from 01/2001 to 07/2021. ICD-9/10-CM codes were used to identify patients with a medical history of hyperlipidemia (HLD), coronary artery disease (CAD), cerebrovascular occlusive disease (CVOD), peripheral artery disease (PAD), hypertension (HTN), or diabetes mellitus (DM). Patient smoking status and medications were also identified. Lab values were obtained from the first and last patient encounter within our system. Primary outcomes were serum concentrations of LDL and non-HDL, with therapeutic thresholds defined as 70 mg/dL and 100 mg/dL, respectively. RESULTS The cohort included 2465 patients. At first encounter, average age was 59.3 years old, 21.4% were on statins, 8.4% were on a high-intensity statin, 25.7% were diagnosed with HLD, 5.2% with CAD, 15.3% with PAD, 26.3% with DM, 18.6% with HTN, and 2.1% with CVOD. At final encounter, mean age was 64.8 years, 23.5% were on statins with 10.1% on high-intensity statin. Diagnoses frequency did not change at final encounter. At first encounter, nearly two-thirds of patients were not at an LDL <70 mg/dL (62.3%) or non-HDL <100 mg/dL (66.0%) with improvement at final encounter to 45.2 and 40.5% of patients not at these LDL or non-HDL treatment thresholds, respectively. Patients on statins exhibited similar trends with 51.1 and 50.1% of patients not at LDL or non-HDL treatment thresholds at first encounter and 39.9 and 35.4% not at LDL or non-HDL treatment thresholds at last encounter. Importantly, 6.9% of patients were at LDL but not non-HDL treatment thresholds. DISCUSSION Among vascular surgery patients, over half did not meet non-HDL targets. These results suggest that we may be vastly under-performing adequate medical optimization with only about one-fourth of patients on a statin at their final encounter and approximately one-tenth of patients being treated with a high-intensity statin. With recent evidence supporting non-HDL as a valuable measurement for atherosclerotic risk, there is potential to optimize medical management beyond current high-intensity statin therapy. Further investigation is needed regarding the risk of adverse events between patients treated with these varied therapeutic targets.
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Affiliation(s)
- Drew J Braet
- Section of Vascular Surgery, University of Michigan, Ann Arbor, MI, USA
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Kian Pourak
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Vibav Mouli
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Itai Palmon
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Dan Dinh
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas H Osborne
- Section of Vascular Surgery, University of Michigan, Ann Arbor, MI, USA
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Chandu Vemuri
- Section of Vascular Surgery, University of Michigan, Ann Arbor, MI, USA
- Department of Surgery, University of Michigan, Ann Arbor, MI, USA
| | - Eric J Brandt
- Division of Cardiovascular Medicine, University of Michigan, Ann Arbor, MI, USA
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA
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Deng J, Tang X, Tang R, Chen J, Guo H, Zhou Q, Zhan X, Long H, Peng F, Wang X, Wen Y, Feng X, Su N, Tian N, Wu X, Xu Q. Atherogenic index predicts all-cause and cardiovascular mortality in incident peritoneal dialysis patients. Atherosclerosis 2023; 387:117389. [PMID: 38011764 DOI: 10.1016/j.atherosclerosis.2023.117389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 10/06/2023] [Accepted: 11/14/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND AND AIMS Atherosclerosis, the main cause of cardiovascular disease (CVD), is prevalent in patients undergoing peritoneal dialysis (PD). Atherogenic index (AI) is a strong predictor of atherosclerosis. However, its prognostic value in CVD outcomes and all-cause mortality among patients undergoing PD remains uncertain. Therefore, we aimed to evaluate the association between AI and all-cause and CVD mortality in PD patients. METHODS Calculated based on lipid profiles obtained through standard laboratory procedures, AI was evaluated in 2682 patients who underwent PD therapy between January 2006 and December 2017 and were followed up until December 2018. The study population was divided into four groups according to the quartile distribution of AI (Q1: <2.20, Q2: 2.20 to <2.97, Q3: 2.97 to <4.04, and Q4: ≥4.04). Multivariable Cox models were employed to explore the associations between AI and CVD and all-cause mortality was evaluated. RESULTS During a median follow-up of 35.5 months (interquartile range, 20.9-57.2 months), 800 patients died, including 416 deaths from CVD. Restricted cubic splines showed non-linear relationship between AI and adverse clinical outcomes. The risks of all-cause and CVD mortality gradually increased across quartiles (log-rank, p < 0.001). After adjusting for potential confounders, the highest quartile (Q4) showed significantly elevated hazard ratio (HR) for both all-cause mortality (HR 1.54 [95% confidence interval (CI), 1.21-1.96]) and CVD mortality risk (HR 1.78 [95% CI, 1.26-2.52]), compared to the lowest quartile (Q1). CONCLUSIONS AI was independently associated with all-cause and CVD mortality in patients undergoing PD, suggesting that AI might be a useful prognostic marker.
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Affiliation(s)
- Jihong Deng
- Department of Nephrology, Jiangmen Central Hospital, Jiangmen, China
| | - Xingming Tang
- Department of Nephrology, Dongguan Songshan Lake Tungwah Hospital, DongGuan, China
| | - Ruiying Tang
- Department of Nephrology, Jiangmen Central Hospital, Jiangmen, China
| | - Jiexin Chen
- Department of Nephrology, Jiangmen Central Hospital, Jiangmen, China
| | - Huankai Guo
- Department of Nephrology, Jiangmen Central Hospital, Jiangmen, China
| | - Qian Zhou
- Department of Medical Statistics, Clinical Trials Unit, The First Affiliated Hospital, Sun Yat-sen Univeristy, Guangzhou, China
| | - Xiaojiang Zhan
- Department of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Haibo Long
- Department of Nephrology, Zhujiang Hospital, Southern Medical University Guangzhou, China
| | - Fenfen Peng
- Department of Nephrology, Zhujiang Hospital, Southern Medical University Guangzhou, China
| | - Xiaoyang Wang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou Univeristy, ZhengZhou, China
| | - Yueqiang Wen
- Department of Nephrology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaoran Feng
- Department of Nephrology, Jiujiang NO.1 People's Hospital, Jiujiang, China
| | - Ning Su
- Department of Hematology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Na Tian
- Department of Nephrology, General Hospital of Ningxia Medical University, Yinchuan, China
| | - Xianfeng Wu
- Department of Nephrology, Affiliated Sixth People's Hospital, Shanghai Jiao Tong Univeristy, Shanghai, China
| | - Qingdong Xu
- Department of Nephrology, Jiangmen Central Hospital, Jiangmen, China.
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Lin W, Luo S, Li W, Liu J, Zhou T, Yang F, Zhou D, Liu Y, Huang W, Feng Y, Luo J. Association between the non-HDL-cholesterol to HDL- cholesterol ratio and abdominal aortic aneurysm from a Chinese screening program. Lipids Health Dis 2023; 22:187. [PMID: 37932803 PMCID: PMC10626699 DOI: 10.1186/s12944-023-01939-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 10/09/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND Abdominal aortic aneurysms (AAAs) can result in high mortality upon rupture but are usually undiagnosed because of the absence of symptoms in the early stage. Ultrasound screening is regarded as an impactful way to prevent the AAA-related death but cannot be performed efficiently; therefore, a target population, especially in Asia, for this procedure is lacking. Additionally, although dyslipidaemia and atherosclerosis are associated with AAA. However, it remains undetermined whether the non-high-density lipoprotein-cholesterol to high-density lipoprotein-cholesterol ratio (NHHR) is associated with AAA. Therefore, this study was aimed at examining whether NHHR is associated with AAA. METHOD A total of 9559 participants who underwent AAA screening at Guangdong Provincial People's Hospital and through screening in two communities in Dongguan, from June 2019 to June 2021 joined in this screening program. The diagnosis of AAA was confirmed by the ultrasound examination of the abdominal aorta rather than any known or suspected AAA. Clinical and laboratory data of participants were collected. The participants were separated into a normal group and an AAA group according to the abdominal aortic status. To eliminate confounding factors, a propensity score matching (PSM) approach was utilized. The independent relationship between NHHR and AAA was assessed through the utilization of multivariable logistic regression analysis. In addition, internal consistency was evaluated through subgroup analysis, which controlled for significant risk factors. RESULTS Of all the participants, 219 (2.29%) participants were diagnosed with AAA. A significant elevation in NHHR was identified in the AAA group when contrasted with that in the normal group (P < 0.001). As demonstrated by the results of the multivariable logistic regression analysis, AAA was independently associated with NHHR before (odds ratio [OR], 1.440, P < 0.001) and after PSM (OR, 1.515, P < 0.001). Significant extension was observed in the areas under the receiver operating characteristic curves (AUROCs) of NHHR compared to those of single lipid parameters before and after PSM. An accordant association between NHHR and AAA in different subgroups was demonstrated by subgroup analysis. CONCLUSION In the Chinese population, there is an independent association between NHHR and AAA. NHHR might be propitious to distinguish individuals with high risk of AAA.
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Affiliation(s)
- Wenhui Lin
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Songyuan Luo
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Wei Li
- Department of Cardiology, Guangdong Provincial People's Hospital Zhuhai Hospital (Zhuhai Golden Bay Center Hospital), Zhuhai, China
| | - Jitao Liu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Ting Zhou
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Fan Yang
- Department of Emergency and Critical Care Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Dan Zhou
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Yuan Liu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Wenhui Huang
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Yingqing Feng
- Hypertension Research Laboratory, Guangdong Provincial Clinical Research Center for Cardiovascular Disease, Department of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
| | - Jianfang Luo
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
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Huang Y, Yan MQ, Zhou D, Chen CL, Feng YQ. The U-shaped association of non-high-density lipoprotein cholesterol with all-cause and cardiovascular mortality in general adult population. Front Cardiovasc Med 2023; 10:1065750. [PMID: 36844732 PMCID: PMC9945232 DOI: 10.3389/fcvm.2023.1065750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 01/13/2023] [Indexed: 02/11/2023] Open
Abstract
Background Non-high-density lipoprotein cholesterol (non-HDL-C) has been associated with atherosclerosis. However, the association between non-HDL-C and mortality in adult population remains unclear. We intended to investigate the association of non-HDL-C with cardiovascular and all-cause mortality using national representative data. Methods The study included 32,405 participants from the National Health and Nutrition Examination Survey (1999-2014). Mortality outcomes were ascertained by linkage to National Death Index records through December 31, 2015. Multivariable-adjusted Cox regression models were used to evaluate hazard ratio (HR) and 95% confidence interval (CI) of non-HDL-C concentrations in quintiles. Two-piecewise linear regression and restricted cubic spline analyzes were performed to test dose-response associations. Results After a median follow-up of 98.40 months, 2,859 (8.82%) all-cause and 551 (1.70%) cardiovascular deaths occurred. Compared with the highest group, the multivariable-adjusted hazard ratio (HR) of the first quintile for all-cause mortality was 1.53 (95%CI, 1.35-1.74). Higher non-HDL-C above a cutoff value of 4.9 mmol/L was related with cardiovascular mortality (HR = 1.33, 95%CI, 1.13-1.57). A U-shaped relationship between non-HDL-C and all-cause mortality was found in spline analysis with a cutoff value around 4 mmol/L. Similar results in subgroups analyzes were found among male, non-white population, participants who were not taking lipid-lowering drugs, and with body mass index (BMI) <25 kg/m2. Conclusion Our findings suggest a U-shaped association between non-HDL-C and mortality among adult population.
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Affiliation(s)
- Yu Huang
- School of Medicine, South China University of Technology, Guangzhou, China,Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Meng Qi Yan
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Dan Zhou
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Chao Lei Chen
- Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Ying Qing Feng
- School of Medicine, South China University of Technology, Guangzhou, China,Department of Cardiology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China,*Correspondence: Ying Qing Feng,
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Fossi BT, Ekabe DE, Toukam LL, Tatsilong Pambou HO, Gagneux-Brunon A, Nkenfou Nguefeu C, Bongue B. Probiotic lactic acid bacteria isolated from traditional cameroonian palm wine and corn beer exhibiting cholesterol lowering activity. Heliyon 2022; 8:e11708. [DOI: 10.1016/j.heliyon.2022.e11708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 07/19/2022] [Accepted: 11/11/2022] [Indexed: 11/18/2022] Open
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Wang A, Li Y, Zhou L, Liu K, Li S, Zong C, Song B, Gao Y, Li Y, Tian C, Xing Y, Xu Y, Wang L. Non-HDL-C/HDL-C ratio is associated with carotid plaque stability in general population: A cross-sectional study. Front Neurol 2022; 13:875134. [PMID: 36188405 PMCID: PMC9520290 DOI: 10.3389/fneur.2022.875134] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 08/15/2022] [Indexed: 12/16/2022] Open
Abstract
Background Carotid atherosclerosis, especially the rupture of unstable plaques, plays an important role in the development of stroke. A novel lipid ratio, the non-high-density lipoprotein cholesterol (non-HDL-C)/high-density lipoprotein cholesterol (HDL-C) ratio, contains both atherogenic and anti-atherogenic particle information, and has been shown to be associated with carotid atherosclerosis. However, there is no data on evaluating the association between non-HDL-C/HDL-C ratio and carotid plaque stability. Methods This study was carried out on 27,436 urban workers aged 20 years or older who participated in a comprehensive health screening between January 2016 and December 2017. Carotid plaque stability was assessed using ultrasonography. Multinomial logistic regression models were used to explore the relationship between the non-HDL-C/HDL-C ratio and carotid plaque stability by odds ratios (ORs) and 95% confidence intervals (CIs). Subgroup and sensitivity analyses were performed to verify the robustness of the results. Results Carotid plaque was detected in 7,161 (26.1%) participants, with stable and unstable plaque accounting for 3,277 (11.9%) and 3,884 (14.2%), respectively. The prevalence of stable carotid plaque substantially increased with increasing non-HDL-C/HDL-C ratio quartile levels (p for trend < 0.001) and with a similar association for unstable carotid plaque (p for trend < 0.001). The mean non-HDL-C/HDL-C ratios (mean ± SD) of non-carotid plaque (2.9 ± 1.1), stable carotid plaque (3.2 ± 1.2), and unstable carotid plaque (3.4 ± 1.4) gradually increased (p < 0.001). In multinomial logistic regression, ORs (95% CIs) for the highest vs. lowest quartile of the non-HDL-C/HDL-C ratio were 1.70 (1.48–1.95) between stable carotid plaques and no carotid plaque, 2.34 (2.06–2.67) between unstable carotid plaques and no carotid plaque, and 1.38 (1.18–1.61) between unstable carotid plaques and stable carotid plaque, after adjusting for common cardiovascular risk factors. The results of subgroup analysis and sensitivity analysis were similar. Conclusion Our findings suggested that the non-HDL-C/HDL-C ratio was significantly associated with carotid plaque stability and might be a useful indicator for the early identification of high-risk carotid plaque.
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Affiliation(s)
- Anran Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yapeng Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Lue Zhou
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Kai Liu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Shaohua Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Ce Zong
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Bo Song
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yuan Gao
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yusheng Li
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | | | - Yurong Xing
- Physical Examination Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yuming Xu
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- *Correspondence: Yuming Xu
| | - Longde Wang
- Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- The General Office of Stroke Prevention Project Committee, National Health Commission of the People's Republic of China, Beijing, China
- Longde Wang
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Wang Y, Yao M, Zou M, Ge Z, Cai S, Hong Y, Gao L, Zhang L, Dong Y, Peng B, Wang H, Li J. Relationship Between Serum Lipid Profiles and Carotid Intraplaque Neovascularization in a High-Stroke-Risk Population: A Cross-Sectional Study in China. J Am Heart Assoc 2021; 10:e021545. [PMID: 34755547 PMCID: PMC8751941 DOI: 10.1161/jaha.121.021545] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Background Evidence of the association between serum lipid profiles and intraplaque neovascularization (IPN) is still limited. We aimed to study the value of a novel Doppler method, superb microvascular imaging, in correlating serum lipid profiles and evidence of IPN in a population with a high risk of stroke. Methods and Results A community‐based cross‐sectional study was conducted in Beijing, China. Residents (aged ≥40 years) underwent questionnaire interviews, physical examinations, and laboratory testing in 2018 and 2019. Subjects with a high risk of stroke were then selected. Standard carotid ultrasound and carotid plaque superb microvascular imaging examinations were then performed on the high–stroke‐risk participants. Logistic regression was used to evaluate the relationship between serum lipid profiles and carotid plaque IPN. Overall, a total of 250 individuals (mean age, 67.20±8.12 years; 66.4% men) met the study inclusion criteria. Superb microvascular imaging revealed carotid plaque IPN in 96 subjects (38.4%). Subjects with IPN were more likely to be current smokers (34.0% versus 46.9%, P=0.046), and their identified carotid plaques were much thicker (2.35±0.63 mm versus 2.75±0.80 mm, P=0.001). Serum lipids, including total cholesterol, non–high‐density lipoprotein cholesterol, and low‐density lipoprotein cholesterol were positively associated with the presence of IPN (4.33±1.00 mmol/L versus 4.79±1.12 mmol/L, P=0.001; 2.96±0.92 mmol/L versus 3.40±1.01 mmol/L, P=0.001; 2.18±0.76 mmol/L versus 2.46±0.80 mmol/L, P=0.005, respectively), and after adjustment for other confounders, the positive relationship remained significant. Furthermore, non–high‐density lipoprotein cholesterol (odds ratio, 2.62 [95% CI, 1.35–5.06]) was significantly associated with the presence of carotid plaque IPN even after adjusting for low‐density lipoprotein cholesterol. Conclusions Total cholesterol, non–high‐density lipoprotein cholesterol, and low‐density lipoprotein cholesterol were positively associated with the presence of carotid IPN in a Chinese high–stroke‐risk population. Further prospective studies should be conducted to better understand how much finding IPN adds to current stroke prediction tools.
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Affiliation(s)
- Ying Wang
- Department of Ultrasound State Key Laboratory of Complex Severe and Rare Diseases Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Ming Yao
- Department of Neurology Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Mi Zou
- Department of Ultrasound State Key Laboratory of Complex Severe and Rare Diseases Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Zhitong Ge
- Department of Ultrasound State Key Laboratory of Complex Severe and Rare Diseases Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Siman Cai
- Department of Ultrasound State Key Laboratory of Complex Severe and Rare Diseases Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Yuehui Hong
- Department of Neurology Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Luying Gao
- Department of Ultrasound State Key Laboratory of Complex Severe and Rare Diseases Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Li Zhang
- Department of Ultrasound State Key Laboratory of Complex Severe and Rare Diseases Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Yifan Dong
- Department of Ultrasound State Key Laboratory of Complex Severe and Rare Diseases Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Bin Peng
- Department of Neurology Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Hongyan Wang
- Department of Ultrasound State Key Laboratory of Complex Severe and Rare Diseases Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
| | - Jianchu Li
- Department of Ultrasound State Key Laboratory of Complex Severe and Rare Diseases Peking Union Medical College Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China
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Li H, Xu X, Luo B, Zhang Y. The Predictive Value of Carotid Ultrasonography With Cardiovascular Risk Factors-A "SPIDER" Promoting Atherosclerosis. Front Cardiovasc Med 2021; 8:706490. [PMID: 34447790 PMCID: PMC8382941 DOI: 10.3389/fcvm.2021.706490] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 07/19/2021] [Indexed: 12/18/2022] Open
Abstract
Insufficient recommendations do not support the clinical use of carotid ultrasonography for further risk stratification in moderate-to-high risk patients with cardiovascular disease (CVD). A literature review was performed to assess six aspects of the research progress and limitations of carotid ultrasonography and carotid atherosclerosis-related risk factors: (1) structures of the carotid intima and media; (2) plaques; (3) inflammation; (4) dynamics of carotid blood flow; (5) early detection and intervention; and (6) risk factors for CVD. Although carotid intima-media thickness and carotid plaques are well-acknowledged independent predictors of CVD risk, normative and cut-off values are difficult to define due to the heterogeneous measurements reported in previous studies. Plaque properties, including location, number, density, and size, become more important risk predictors for cardiovascular disease, but a better approach for clinical use needs to be further established. Three-dimensional ultrasound and contrast-enhanced ultrasound are promising for promoting risk stratification with more details on plaque morphology. Moreover, inflammatory diseases and biomarkers should be evaluated for a full assessment of the inflammatory burden for atherosclerosis. Carotid flow velocity is not only an indicator for stenosis but also a potential risk predictor. Carotid atherosclerosis should be detected and treated early, and additional clinical trials are needed to determine the efficacy of these measures in reducing CVD risk. Cardiovascular risk factors tend to affect carotid plaques, and early treat-to-target therapy might yield clinical benefits. Based on the aforementioned six aspects, we consider that these six important factors act like a “SPIDER” spinning the web of atherosclerosis; a timely comprehensive assessment and intervention may halt the progression to CVD. Carotid ultrasound results should be combined with other atherosclerotic factors, and a comprehensive risk assessment may help to guide cardiovascular prevention decisions.
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Affiliation(s)
- Hongwei Li
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.,Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China
| | - Xiaolin Xu
- Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Baoming Luo
- Department of Ultrasound, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China
| | - Yuling Zhang
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.,Guangdong Province Key Laboratory of Arrhythmia and Electrophysiology, Guangzhou, China
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Tutunchi H, Naeini F, Ebrahimi-Mameghani M, Mobasseri M, Naghshi S, Ostadrahimi A. The association of the steatosis severity, NAFLD fibrosis score and FIB-4 index with atherogenic dyslipidaemia in adult patients with NAFLD: A cross-sectional study. Int J Clin Pract 2021; 75:e14131. [PMID: 33683797 DOI: 10.1111/ijcp.14131] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Revised: 02/26/2021] [Accepted: 03/02/2021] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES Obesity and dyslipidaemia are the major risk factors for non-alcoholic fatty liver disease (NAFLD), and are known to increase cardiovascular disease (CVD), which is the leading cause of death in NAFLD patients. The present cross-sectional study aimed to investigate associations among severity of hepatic steatosis, NAFLD fibrosis score and atherogenic lipid profile. METHODS A total of 265 patients with NAFLD confirmed by ultrasonographic findings were included. The NAFLD fibrosis score and the fibrosis-4 (FIB-4) index were used to classify the probability of fibrosis as low, intermediate and high probability. Serum lipids including total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) were measured, and then TC/HDL-C, LDL-C/HDL-C, TG/HDL-C and non HDL-C/HDL-C ratios were determined. Fasting blood sugar (FBS), alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were also assessed. The homeostatic model assessment for insulin resistance (HOMA-IR) was calculated. RESULTS The severity of hepatic steatosis was positively correlated with TC/HDL-C (r = 0.29, P = .002), LDL-C/HDL-C (r = 0.32, P < .001), TG/HDL-C (r = 0.36, P < .001) and non-HDL-C/HDL-C (r = 0.24, P = .001) ratios. Similarly, these parameters were positively correlated with NAFLD fibrosis score and FIB-4 index (P < .05). In addition, alanine aminotransferase and aspartate aminotransferase levels were positively correlated with TG/HDL-C ratio (r = 0.31, P = .003; and r = 0.27, P = .001 respectively). With increasing the severity of hepatic steatosis and NAFLD fibrosis score, the mean of all lipid ratios increased significantly (P < .01 and P < .05, respectively). Importantly, after controlling for potential confounders including age, gender, physical activity level, body mass index, waist circumference and HOMA-IR, the severity of steatosis, NAFLD fibrosis score and FIB-4 index remained independent predictors of atherogenic lipid profile. CONCLUSIONS Severity of hepatic steatosis, NAFLD fibrosis score and FIB-4 index were significantly correlated with atherogenic lipid profile. As NAFLD is high among patients with metabolic risk factors for CVD, their dyslipidaemia should be aggressively managed.
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Affiliation(s)
- Helda Tutunchi
- Nutrition Research Center, Department of Clinical Nutrition, School of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
- Endocrine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Fatemeh Naeini
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran university of medical science, Tehran, Iran
| | - Mehrangiz Ebrahimi-Mameghani
- Nutrition Research Center, Department of Clinical Nutrition, School of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
- School of Nutrition & Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Majid Mobasseri
- Endocrine Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Sina Naghshi
- Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran university of medical science, Tehran, Iran
| | - Alireza Ostadrahimi
- Nutrition Research Center, Department of Clinical Nutrition, School of Nutrition and Food Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
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Geng Y, Liu Y, Chen Y, Zhang Z, Wang L, Li X, Xia B, Song B, Zhang H. Association of LDLc to HDLc ratio with carotid plaques in a community-based population with a high stroke risk: A cross-sectional study in China. Clin Biochem 2020; 88:43-48. [PMID: 33242435 DOI: 10.1016/j.clinbiochem.2020.11.001] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Revised: 09/23/2020] [Accepted: 11/03/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND AND AIMS The association between low-density lipoprotein cholesterol (LDLc) to high-density lipoprotein cholesterol (HDLc) ratio (LDLc/HDLc) and carotid plaques remains controversial. We conducted a cross-sectional study to evaluate whether LDLc/HDLc is associated with carotid plaques in individuals with a high-stroke-risk. METHODS AND RESULTS The study initially enrolled 5529 residents aged 40 years or older from Yangzhou, China in 2013-2014. All participants received a questionnaire interview, physical examination, and laboratory tests. Risk factors for stroke included hypertension, diabetes mellitus, dyslipidemia, atrial fibrillation, smoking, less exercise, overweight/obesity, and family stroke history. Subjects with at least three of the risk factors or a history of stroke/transient ischemic attack (TIA) were defined as a high-stroke-risk population. Carotid ultrasonography was only conducted for this high-stroke-risk population. Logistic regression was used to examine the association of LDLc/HDLc with the presence of carotid plaques. Final analysis included 839 high-stroke-risk subjects and 40.6% were identified to have carotid plaques. Subjects with the highest tertiles group of LDLc/HDLc had a higher proportion of carotid plaques than the other two groups (47.1% vs. 34.6% and 40.4%, P < 0.001). With each unit increase of LDLc/HDLc, the chance of having carotid plaques increased by 65% (OR 1.65, 95%CI 1.31-2.08) after adjusted for potential confounders. Among most subgroups, a higher LDLc/HDLc was significantly correlated with the presence of carotid plaques. CONCLUSION Higher LDLc/HDLc was significantly associated with the presence of carotid plaques in the Chinese population with a high risk of stroke.
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Affiliation(s)
- Yang Geng
- Department of Neurology, Clinical Medical College, Yangzhou University, 98 Nantong West Road, Yangzhou 225001, China
| | - Yan Liu
- Department of Endocrinology, Clinical Medical College, Yangzhou University, 98 Nantong West Road, Yangzhou 225001, China
| | - Yan Chen
- Department of Center of Health Management, Clinical Medical College, Yangzhou University, 98 Nantong West Road, Yangzhou 225001, China
| | - Zhenwen Zhang
- Department of Endocrinology, Clinical Medical College, Yangzhou University, 98 Nantong West Road, Yangzhou 225001, China
| | - Liping Wang
- Department of Biobank, Clinical Medical College, Yangzhou University, 98 Nantong West Road, Yangzhou 225001, China
| | - Xiaobo Li
- Department of Neurology, Clinical Medical College, Yangzhou University, 98 Nantong West Road, Yangzhou 225001, China
| | - Binlan Xia
- Department of Ultrasonography, Clinical Medical College, Yangzhou University, 98 Nantong West Road, Yangzhou 225001, China
| | - Bin Song
- Department of Center of Health Management, Clinical Medical College, Yangzhou University, 98 Nantong West Road, Yangzhou 225001, China.
| | - Hengzhong Zhang
- Department of Center of Health Management, Clinical Medical College, Yangzhou University, 98 Nantong West Road, Yangzhou 225001, China.
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