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Cai Y, Zhou Z, Zeng Y. Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and sleep disorders in US adults: NHANES 2005 to 2016. Medicine (Baltimore) 2024; 103:e38748. [PMID: 38941362 DOI: 10.1097/md.0000000000038748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/30/2024] Open
Abstract
NHHR (non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio) is a novel lipid parameter. However, the association between NHHR and sleep disorders remains unknown.; A cross-sectional analysis was conducted using data from the National Health and Nutrition Examination Survey (NHANES) 2005 to 2016. The association between NHHR and sleep disorders was explored using weighted multivariate logistic regression and generalized summation models. Subgroup analyses were employed to verify the robustness of this association. The prevalence of sleep disorders was 25.83% in a total of 22,221 participants. Compared to the lowest quartile of NHHR, participants in the top quartile had a 14% higher odds of sleep disorders prevalence in fully adjusted model (OR: 1.14, 95% CI: 1.06-1.23). After subgroup analyses and interaction tests, sex, race, marital status, education level, body mass index (BMI), person income ratio (PIR), alcohol consumption, smoking status, hypertension, and diabetes mellitus were not significantly associated with this positive association (P for interaction > 0.05). The NHHR is positively associated with sleep disorders in US adults. The management and monitoring of NHHR may have a potential role in improving sleep disorders.
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Affiliation(s)
- Yuzhou Cai
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Kunming Medical University, Yunnan, China
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2
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Chen Z, Zhang H, Huang X, Tao Y, Chen Z, Sun X, Zhang M, Tse LA, Weng S, Chen W, Li W, Wang D. Association of noise exposure with lipid metabolism among Chinese adults: mediation role of obesity indices. J Endocrinol Invest 2024:10.1007/s40618-024-02420-4. [PMID: 38909326 DOI: 10.1007/s40618-024-02420-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 06/19/2024] [Indexed: 06/24/2024]
Abstract
PURPOSE Noise exposure in the workplace has been linked to a number of health consequences. Our objectives were to explore the relationship between occupational noise and lipid metabolism and evaluate the possible mediating effect of obesity indices in those relationships with a cross-sectional study design. METHODS Cumulative noise exposure (CNE) was used to measure the level of noise exposure. Logistic regression models or generalized linear models were employed to evaluate the association of occupational noise and obesity with lipid metabolism markers. Cross-lagged analysis was conducted to explore temporal associations of obesity with lipid metabolism. RESULTS A total of 854 participants were included, with each one-unit increase in CNE, the values of total cholesterol/high-density lipoprotein cholesterol and low-density lipoprotein cholesterol/high-density lipoprotein cholesterol increased by 0.013 (95% confidence interval: 0.006, 0.020) and 0.009 (0.004, 0.014), as well as the prevalence of dyslipidemia increased by 1.030 (1.013, 1.048). Occupational noise and lipid metabolism markers were all positively associated with body mass index (BMI), waist circumference (WC), a Body Shape Index (ABSI) and a Body Shape Index and Body Roundness Index (BRI) (all P < 0.05). Moreover, BMI, WC, ABSI and BRI could mediate the associations of occupational noise with lipid metabolism; the proportions ranged from 21.51 to 24.45%, 23.84 to 30.14%, 4.86 to 5.94% and 25.59 to 28.23%, respectively (all P < 0.05). CONCLUSIONS Our study demonstrates a positive association between occupational noise and abnormal lipid metabolism, and obesity may partly mediate the association. Our findings reinforce the need to take practical steps to reduce or even eliminate the health risks associated with occupational noise.
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Affiliation(s)
- Z Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - H Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - X Huang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Y Tao
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - Z Chen
- Wuhan Prevention and Treatment Center for Occupational Diseases, Wuhan, 430015, Hubei, China
| | - X Sun
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - M Zhang
- National Institute of Occupational Health and Poison Control, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - L A Tse
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China
| | - S Weng
- Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen, 518020, Guangdong, China
| | - W Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China
| | - W Li
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China
- Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China
| | - D Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
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Wei L, Laukkanen JA, Li Y, Chen X, Li G. Association of High apoB/apoA1 Ratio with Increased Erythrocytes, Platelet/Lymphocyte Ratio, D-dimer, Uric Acid and Cardiac Remodeling in Elderly Heart Failure Patients: A Retrospective Study. Int J Gen Med 2024; 17:2151-2161. [PMID: 38766597 PMCID: PMC11099934 DOI: 10.2147/ijgm.s465053] [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: 03/27/2024] [Accepted: 05/04/2024] [Indexed: 05/22/2024] Open
Abstract
Background Previous studies have confirmed that high apolipoprotein B/apolipoprotein A1 (apoB/apoA1) ratio was associated with increased mortality from heart failure (HF). Furthermore, the association of plasma apoB/apoA1 ratio with clinical characteristics and adverse cardiac remodeling is still limited in chronic HF with mildly reduced ejection fraction (HFmrEF) elderly patients. Therefore, this study investigated the association of apoB/apoA1 ratio with clinical characteristics and adverse cardiac remodeling in chronic HFmrEF elderly patients. Methods A total of 587 Chinese elderly (≥65 years) with coronary heart disease (CHD), HFmrEF (EF 40-50%) and related blood biochemical data were collected retrospectively. The cross-sectional data of echocardiographic and blood parameters were compared between binary apoB/apoA1 groups. Results In the elderly CHD patients with chronic HFmrEF, the univariate correlation analysis showed that apoB/apoA1 was correlated with younger age, increased prevalence of type 2 diabetes, erythrocytes, platelet/lymphocyte ratio (PLR), D-dimer, fibrinogen, high sensitivity C-reactive protein and uric acid, and adverse cardiac remodeling (All P < 0.05). However, multivariate logistic binary regression analysis found that high apoB/apoA1 ratio (≥0.62) was independently correlated with younger age, increased erythrocytes, PLR, D-dimer and uric acid, and adverse cardiac remodeling (All P < 0.05). Conclusion In this retrospective study, the high apoB/apoA1 ratio is found to be associated with younger age, increased erythrocytes, PLR, D-dimer and uric acid, and adverse cardiac remodeling in Chinese CHD elderly with chronic HFmrEF.
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Affiliation(s)
- Linping Wei
- Division of Cardiology, Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Jari A Laukkanen
- Institute of Clinical Medicine, Department of Medicine, University of Eastern Finland, Kuopio, 70211, Finland
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, 70211, Finland
- Wellbeing Services County of Central Finland, Department of Medicine, Jyväskylä, 40620, Finland
| | - Yufeng Li
- Division of Cardiology, Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Xinrui Chen
- Division of Cardiology, Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
| | - Gang Li
- Division of Cardiology, Department of Geriatrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China
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4
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Tegg NL, Myburgh C, O'Donnell E, Kennedy M, Norris CM. Impact of Secondary Amenorrhea on Cardiovascular Disease Risk in Physically Active Women: A Systematic Review and Meta-Analysis. J Am Heart Assoc 2024; 13:e033154. [PMID: 38497482 PMCID: PMC11010010 DOI: 10.1161/jaha.123.033154] [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: 10/16/2023] [Accepted: 02/27/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Exercise-associated secondary amenorrhea results in estrogen deficiency, which may lead to dysfunction in estrogen's normal cardioprotective pathways. Estrogen may be essential in a woman's endothelial adaptations to exercise. The objective of this review was to assess the association between secondary amenorrhea in physically active women and cardiovascular disease (CVD) risk. METHODS AND RESULTS A literature search was performed in January 2023 and updated in August 2023 of the Cumulative Index to Nursing and Allied Health Literature (EBSCOhost), Cochrane Library, Embase (Ovid), MEDLINE (Ovid), SPORTDiscus (EBSCOhost), and Scopus from inception to present with no date or language limitations. Citation chaining was done to screen for additional studies. Eight sources were searched for gray literature. Studies that compared physically active women with amenorrhea to physically active women with eumenorrhea aged 18 to 35 years with evidence of CVD, alterations to cardiovascular physiology, or CVD risks were included. Eighteen observational studies from 3 countries were included. Overall, the quality of evidence was good. A meta-analysis was performed. Physically active women with secondary amenorrhea had significantly lower estradiol, flow-mediated dilation, resting heart rate, systolic blood pressure, and diastolic blood pressure and higher total cholesterol, triglycerides, high-density lipoprotein, and low-density lipoprotein cholesterol. CONCLUSIONS Estrogen deficiency resulting from exercise-associated secondary amenorrhea in physically active women may impact cardiovascular physiology and certain CVD risk factors. The research in this area is observational; therefore, findings should be interpreted cautiously. However, as exercise-associated secondary amenorrhea is reversible and the primary prevention of CVD is important for public health, it may be important to treat secondary amenorrhea and restore estrogen levels.
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Affiliation(s)
- Nicole L. Tegg
- Faculty of NursingUniversity of AlbertaEdmontonAlbertaCanada
| | - Caitlynd Myburgh
- Faculty of NursingUniversity of AlbertaEdmontonAlbertaCanada
- Faculty of Natural SciencesThe Kings UniversityEdmontonAlbertaCanada
| | | | | | - Colleen M. Norris
- Faculty of NursingUniversity of AlbertaEdmontonAlbertaCanada
- Cavarzan Chair in Mature Women’s Research, WCHRIEdmontonAlbertaCanada
- Faculty of Medicine, School of Public Health SciencesUniversity of AlbertaEdmontonAlbertaCanada
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5
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Kumar M, Orkaby A, Tighe C, Villareal DT, Billingsley H, Nanna MG, Kwak MJ, Rohant N, Patel S, Goyal P, Hummel S, Al-Malouf C, Kolimas A, Krishnaswami A, Rich MW, Kirkpatrick J, Damluji AA, Kuchel GA, Forman DE, Alexander KP. Life's Essential 8: Optimizing Health in Older Adults. JACC. ADVANCES 2023; 2:100560. [PMID: 37664644 PMCID: PMC10470487 DOI: 10.1016/j.jacadv.2023.100560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 06/26/2023] [Accepted: 07/07/2023] [Indexed: 09/05/2023]
Abstract
The population worldwide is getting older as a result of advances in public health, medicine, and technology. Older individuals are living longer with a higher prevalence of subclinical and clinical cardiovascular disease (CVD). In 2010, the American Heart Association introduced a list of key prevention targets, known as "Life's Simple 7" to increase CVD-free survival, longevity, and quality of life. In 2022, sleep health was added to expand the recommendations to "Life's Essential 8" (eat better, be more active, stop smoking, get adequate sleep, manage weight, manage cholesterol, manage blood pressure, and manage diabetes). These prevention targets are intended to apply regardless of chronologic age. During this same time, the understanding of aging biology and goals of care for older adults further enhanced the relevance of prevention across the range of functions. From a biological perspective, aging is a complex cellular process characterized by genomic instability, telomere attrition, loss of proteostasis, inflammation, deregulated nutrient-sensing, mitochondrial dysfunction, cellular senescence, stem cell exhaustion, and altered intercellular communication. These aging hallmarks are triggered by and enhanced by traditional CVD risk factors leading to geriatric syndromes (eg, frailty, sarcopenia, functional limitation, and cognitive impairment) which complicate efforts toward prevention. Therefore, we review Life's Essential 8 through the lens of aging biology, geroscience, and geriatric precepts to guide clinicians taking care of older adults.
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Affiliation(s)
- Manish Kumar
- Pat and Jim Calhoun Cardiology Center, University of Connecticut School of Medicine, Farmington, Connecticut, USA
- UConn Center on Aging, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Ariela Orkaby
- New England GRECC (Geriatric Research Education and Clinical Center), VA Boston HealthCare System, Boston, Massachusetts, USA
- Division of Aging, Brigham & Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Caitlan Tighe
- VISN 4 Mental Illness Research, Education and Clinical Center, Veterans Affairs Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - Dennis T. Villareal
- Division of Endocrinology, Diabetes, and Metabolism, Baylor College of Medicine, Houston, Texas, USA
| | - Hayley Billingsley
- Division of Cardiovascular Medicine, University of Michigan Frankel Cardiovascular Center, Ann Arbor, Michigan, USA
| | - Michael G. Nanna
- Section of Cardiovascular Medicine, Yale School of Medicine, New Haven, Connecticut, USA
| | - Min Ji Kwak
- Division of Geriatric and Palliative Medicine, McGovern Medical School, The University of Texas Health Science Center, Houston, Texas, USA
| | - Namit Rohant
- Department of Cardiology, University of Arizona, Tucson, Arizona, USA
| | - Shreya Patel
- Department of Pharmacy Practice, School of Pharmacy and Health Sciences, Fairleigh Dickinson University, Florham Park, New Jersey, USA
| | - Parag Goyal
- Program for the Care and Study of Aging Heart, Department of Medicine, Weill Cornell of Medicine, New York, New York, USA
| | - Scott Hummel
- Division of Cardiovascular Medicine, University of Michigan Frankel Cardiovascular Center, Ann Arbor, Michigan, USA
| | - Christina Al-Malouf
- Department of Cardiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Amie Kolimas
- Department of Internal Medicine, University of Arizona, Tucson, Arizona, USA
| | | | - Michael W. Rich
- Department of Medicine, Washington University, St Louise, Missouri, USA
| | - James Kirkpatrick
- Department of Cardiology, University of Washington, Seattle, Washington, USA
| | - Abdulla A. Damluji
- The Inova Center of Outcomes Research, Inova Heart and Vascular Institute, Falls Church, Virginia, USA
| | - George A. Kuchel
- UConn Center on Aging, University of Connecticut School of Medicine, Farmington, Connecticut, USA
| | - Daniel E. Forman
- Divisions of Cardiology and Geriatrics, Department of Medicine, University of Pittsburgh, Pittsburgh GRECC, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA
| | - Karen P. Alexander
- Division of Cardiology, Duke Medicine, Duke Clinical Research Institute, Durham, North Carolina, USA
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6
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Martin SS, Niles JK, Kaufman HW, Awan Z, Elgaddar O, Choi R, Ahn S, Verma R, Nagarajan M, Don-Wauchope A, Gurgel Castelo MHC, Hirose CK, James D, Truman D, Todorovska M, Momirovska A, Pivovarníková H, Rákociová M, Louzao-Gudin P, Batu J, El Banna N, Kapoor H. Lipid distributions in the Global Diagnostics Network across five continents. Eur Heart J 2023; 44:2305-2318. [PMID: 37392135 PMCID: PMC10314323 DOI: 10.1093/eurheartj/ehad371] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 04/07/2023] [Accepted: 05/24/2023] [Indexed: 07/03/2023] Open
Abstract
AIMS Lipids are central in the development of cardiovascular disease, and the present study aimed to characterize variation in lipid profiles across different countries to improve understanding of cardiovascular risk and opportunities for risk-reducing interventions. METHODS AND RESULTS This first collaborative report of the Global Diagnostics Network (GDN) evaluated lipid distributions from nine laboratory organizations providing clinical laboratory testing in 17 countries on five continents. This cross-sectional study assessed aggregated lipid results from patients aged 20-89 years, tested at GDN laboratories, from 2018 through 2020. In addition to mean levels, the World Health Organization total cholesterol risk target (<5.00 mmol/L, <193 mg/dL) and proportions in guideline-based low-density lipoprotein cholesterol (LDL-C) categories were assessed. This study of 461 888 753 lipid results found wide variation by country/region, sex, and age. In most countries, total cholesterol and LDL-C peaked at 50-59 years in females and 40-49 years in males. Sex- and age-group adjusted mean total cholesterol levels ranged from 4.58 mmol/L (177.1 mg/dL) in the Republic of Korea to 5.40 mmol/L (208.8 mg/dL) in Austria. Mean total cholesterol levels exceeded the World Health Organization target in Japan, Australia, North Macedonia, Switzerland, Germany, Slovakia, and Austria. Considering LDL-C categories, North Macedonia had the highest proportions of LDL-C results >4.91 mmol/L (>190 mg/dL) for both females (9.9%) and males (8.7%). LDL-C levels <1.55 mmol/L (<60 mg/dL) were most common among females in Canada (10.7%) and males in the UK (17.3%). CONCLUSION With nearly a half billion lipid results, this study sheds light on the worldwide variability in lipid levels, which may reflect inter-country differences in genetics, lipid testing, lifestyle habits, and pharmacologic treatment. Despite variability, elevated atherogenic lipid levels are a common global problem, and these results can help inform national policies and health system approaches to mitigate lipid-mediated risk of cardiovascular disease.
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Affiliation(s)
- Seth S Martin
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, 600 N. Wolfe St, Carnegie 591, Baltimore, MD 21287, USA
| | | | | | - Zuhier Awan
- King Abdulaziz University, Jeddah, Saudi Arabia
- Al Borg Diagnostics, Jeddah, Saudi Arabia
| | - Ola Elgaddar
- Al Borg Diagnostics, Jeddah, Saudi Arabia
- Medical Research Institute, Alexandria University, Alexandria, Egypt
| | - Rihwa Choi
- GC Labs, Yongin, Republic of Korea
- Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | | | | | | | - Andrew Don-Wauchope
- McMaster University, Hamilton, Ontario, Canada
- LifeLabs Inc., Toronto, Ontario, Canada
| | | | | | - David James
- SYNLAB, Southwest Pathology Service, London, UK
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Gaggini M, Gorini F, Vassalle C. Lipids in Atherosclerosis: Pathophysiology and the Role of Calculated Lipid Indices in Assessing Cardiovascular Risk in Patients with Hyperlipidemia. Int J Mol Sci 2022; 24:ijms24010075. [PMID: 36613514 PMCID: PMC9820080 DOI: 10.3390/ijms24010075] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 12/15/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022] Open
Abstract
The role of lipids is essential in any phase of the atherosclerotic process, which is considered a chronic lipid-related and inflammatory condition. The traditional lipid profile (including the evaluation of total cholesterol, triglycerides, high-density lipoprotein, and low-density lipoprotein) is a well-established tool to assess the risk of atherosclerosis and as such has been widely used as a pillar of cardiovascular disease prevention and as a target of pharmacological treatments in clinical practice over the last decades. However, other non-traditional lipids have emerged as possible alternative predictors of cardiometabolic risk in addition to traditional single or panel lipids, as they better reflect the overall interaction between lipid/lipoprotein fractions. Therefore, this review deals with the lipid involvement characterizing the pathophysiology of atherosclerosis, discussing some recently proposed non-traditional lipid indices and, in the light of available knowledge, their actual potential as new additive tools to better stratify cardiovascular risk in patients with hyperlipidemia as well as possible therapeutic targets in the clinical practice.
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Affiliation(s)
- Melania Gaggini
- Institute of Clinical Physiology, National Research Council, Via Moruzzi 1, 56124 Pisa, Italy
| | - Francesca Gorini
- Institute of Clinical Physiology, National Research Council, Via Moruzzi 1, 56124 Pisa, Italy
| | - Cristina Vassalle
- Fondazione CNR—Regione Toscana G Monasterio, Via Moruzzi 1, 56124 Pisa, Italy
- Correspondence:
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8
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Liu H, Deng B, Zhou H, Wu Z, Chen Y, Weng G, Zhu S, Xu J, Wang H, Zhou Z, Tan EK, Wang Q. QEEG indices are associated with inflammatory and metabolic risk factors in Parkinson's disease dementia: An observational study. EClinicalMedicine 2022; 52:101615. [PMID: 36034410 PMCID: PMC9399166 DOI: 10.1016/j.eclinm.2022.101615] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 07/22/2022] [Accepted: 07/25/2022] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Quantitative electroencephalography (QEEG) is a reliable and non-invasive diagnostic tool to quantify cortical synaptic injury or loss in the clinical assessment of neurodegenerative diseases, and may be able to differentiate various types of dementia. We investigated if QEEG indices can differentiate Parkinson's Disease (PD) with nondementia (PD-ND) from PD with dementia (PDD), and to determine if QEEG indices correlate with inflammation and lipid metabolism markers in PD. METHODS This clinical study collected data between July 1, 2018 and July 1, 2021 in Zhujiang Hospital of Southern Medical University in China and data was analysed. A total of 125 individuals comprising of 31 PDD, 47 patients with PD-ND and 47 healthy controls were included. We calculated the absolute spectral power (ASP) of frequency bands and the slow-to-fast frequency ratios of specific brain regions. Plasma levels of hypersensitive C-reactive protein (Hs-CRP), superoxide dismutase (SOD), and high-density lipoprotein cholesterol (HDL-C) were measured and correlations with QEEG indices were examined. FINDINGS A significantly higher ASP of delta frequency especially in the frontal region was observed in patients with PDD compared to PD-ND (P=0.004) and controls (P=0.000). Decreased HDL-C (OR=0.186, P=0.030), and increased Hs-CRP (OR =2.856, P=0.015) were associated with PDD. Frontal-delta ASP was negatively correlated with plasma HDL-C (r=-0.353, P=0.000) and SOD (r=-0.322, P=0.001), and positively correlated with Hs-CRP (r=0.342, P=0.000). INTERPRETATION We highlight novel correlations between QEEG indices and inflammation and lipid metabolism markers in PD-ND and PDD. QEEG indices, HDL-C and Hs-CRP are potentially useful for the evaluation of PDD. Our current findings suggest that peripheral inflammation might contribute to the pathogenesis of cognitive impairment and EEG slowing in PDD. The mechanism underlying frontal-delta ASP and its correlation with neuro-inflammatory and metabolic markers in PDD should be further investigated. FUNDING The National Natural Science Foundation of China (NO: 81873777, 82071414); the Scientific Research Foundation of Guangzhou (NO: 202206010005); the Science and Technology Program of Guangdong of China (NO: 2020A0505100037); the High-level Hospital Construction Research Project of Maoming People's Hospital (NO: xz2020009); the Science and Technology Program of Maoming City (NO: 2021S0026). Dr EK Tan is supported by the National Medical Research Council, Singapore.
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Affiliation(s)
- Hailing Liu
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong 510282, China
- Department of Neurology, Maoming People's Hospital, Maoming, Guangdong, China
| | - Bin Deng
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong 510282, China
| | - Hang Zhou
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong 510282, China
| | - Zhihuan Wu
- Department of Neurology, 1st People Hospital of Zhaoqing, Zhaoqing, China
| | - Yonghua Chen
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong 510282, China
| | - Guomei Weng
- Department of Neurology, 1st People Hospital of Zhaoqing, Zhaoqing, China
| | - Shuzhen Zhu
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong 510282, China
| | - Jiangping Xu
- School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Haitao Wang
- School of Pharmaceutical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Zhidong Zhou
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore; Duke-NUS Medical School, Singapore
| | - Eng-King Tan
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore; Duke-NUS Medical School, Singapore
| | - Qing Wang
- Department of Neurology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong 510282, China
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9
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Shalnova SA, Metelskaya VA, Kutsenko VA, Yarovaya EB, Kapustina AV, Muromtseva GA, Svinin GE, Balanova YA, Imaeva AE, Evstifeeva SE, Vilkov VG, Barbarash OL, Belova OA, Grinshtein YI, Efanov AY, Kalachikova ON, Kulakova NV, Rotar OP, Trubacheva IA, Duplyakov DV, Libis RA, Viktorova IA, Redko AN, Yakushin SS, Boytsov SA, Shlyakhto EV, Drapkina OM. Non-High Density Lipoprotein Cholesterol: A Modern Benchmark for Assessing Lipid Metabolism Disorders. RATIONAL PHARMACOTHERAPY IN CARDIOLOGY 2022. [DOI: 10.20996/1819-6446-2022-07-01] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Aim. To perform a population analysis of Non-High Density Lipoprotein Cholesterol level (non-HDL-c) in Russian population and to evaluate its association with cardiovascular events.Material and Methods. The material consisted of results obtained from 11 regions of the ESSE-RF1 Study and from 4 regions of the ESSE-RF2 Study. Study protocols were identical. The studies were performed in 2012-2014 and 2017, respectively. Endpoints were assessed in 19041 people aged 35-64 years. The median follow-up was 6.5 years in ESSE RF (1) and 3.8 years in ESSE RF(2). Analysis was performed for three lipid variables: total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and non-HDLC in two samples: the general population sample and the same sample without individuals with coronary heart disease (CHD), myocardial infarction (MI) and/or stroke history and not taking statins (the population sample of "without a history of cardiovascular diseases [CVD]". The analysis of nonlinear associations was performed using the generalized additive Cox model. The combined cardiovascular endpoint was represented by cardiovascular death and nonfatal MI and stroke. Traditional and laboratory FRs, socio-demographic parameters were analyzed. The significance level for all tested hypotheses was set to be 0.05.Results. The prevalence of elevated non-HDL-C level (>3.7 mmol/l) was found to be 74.6%. No gender differences were found: there was 74.6% for men and 74.5% for women. Both mean values and prevalence of elevated non-HDL-C were increased with age in women, and its level was slightly decreased in men after 55 years old. Almost all analyzed RFs were significantly associated with elevated non-HDL-C in these two population samples. In both samples elevated total CH and elevated LDL-C were associated with all-cause mortality after correction for all RFs. On the contrary, the non-HDL-C was associated with CVD combined end pints. It has been shown that the risk of these end points increases uniformly with increase in levels of non HDL cholesterol, no nonlinear associations were found.Conclusion. The results of a population-based analysis of non-HDL-C performed in the Russian population for the first time confirmed that elevated non-HDL-C levels contribute significantly to determining the risk of cardiovascular events in the medium term. It can be assumed that the new risk scales (SCORE2 and SCORE OP) proposed by the European Society of Cardiology and the European Society of Preventive Cardiology, which include non-HDL C instead of TC, will allow adequate assessment of 10-year cardiovascular risk for Russians. However, continued monitoring of endpoints in order to obtain stable associations is required.
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Affiliation(s)
- S. A. Shalnova
- National Medical Research Center for Therapy and Preventive Medicine
| | - V. A. Metelskaya
- National Medical Research Center for Therapy and Preventive Medicine
| | - V. A. Kutsenko
- National Medical Research Center for Therapy and Preventive Medicine; Lomonosov Moscow State University
| | - E. B. Yarovaya
- National Medical Research Center for Therapy and Preventive Medicine; Lomonosov Moscow State University
| | - A. V. Kapustina
- National Medical Research Center for Therapy and Preventive Medicine
| | - G. A. Muromtseva
- National Medical Research Center for Therapy and Preventive Medicine
| | - G. E. Svinin
- National Medical Research Center for Therapy and Preventive Medicine
| | - Yu. A. Balanova
- National Medical Research Center for Therapy and Preventive Medicine
| | - A. E. Imaeva
- National Medical Research Center for Therapy and Preventive Medicine
| | - S. E. Evstifeeva
- National Medical Research Center for Therapy and Preventive Medicine
| | - V. G. Vilkov
- National Medical Research Center for Therapy and Preventive Medicine
| | | | | | | | | | | | | | | | - I. A. Trubacheva
- Tomsk National Research Medical Center of the Russian Academy of Sciences, Cardiology Research Institute
| | | | | | | | | | - S. S. Yakushin
- Ryazan State Medical University named after academician I.P. Pavlov
| | - S. A. Boytsov
- National Medical Research Center of Cardiology named after academician E.I. Chazov
| | | | - O. M. Drapkina
- National Medical Research Center for Therapy and Preventive Medicine
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10
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Kuang R, Liao Y, Xie X, Li B, Lin X, Liu Q, Liu X, Yu W. Dynamic physical examination indicators of cardiovascular health: A single-center study in Shanghai, China. PLoS One 2022; 17:e0268358. [PMID: 35550637 PMCID: PMC9098044 DOI: 10.1371/journal.pone.0268358] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Accepted: 04/27/2022] [Indexed: 11/19/2022] Open
Abstract
Dynamic physical examination data can provide both cross-sectional and time-series characteristics of cardiovascular health. However, most physical examination databases containing health and disease information have not been fully utilized in China. Hence, this study aimed to analyze dynamic physical examination indicators for cardiovascular health to provide evidence for precise prevention and control of cardiovascular diseases in the primary prevention domain among healthy population with different demographic characteristics in Shanghai. Three-year continuous data were collected from the physical examination center of a hospital in Shanghai from 2018 to 2020, which included a total of 14,044 participants with an average age of 46.51±15.57 years. The cardiovascular status of overall healthy individuals may have a decreasing trend, which is manifested as a significant year-on-year decrease in high-density lipoprotein cholesterol; a significant year-on-year increase in total cholesterol, low-density lipoprotein cholesterol, and blood glucose levels; and a possible increasing trend of diastolic blood pressure, body mass index, and triglycerides. Healthy population with different sex and age groups have various sensitives to cardiovascular physical examination indicators. To conduct more accurate cardiovascular health management and health promotion for key populations in primary prevention, focusing on the dynamic trends of blood pressure, blood lipids, blood glucose, and body mass index in men and changes in total cholesterol in women over time is especially important. The age group of 50–69 years is key for better prevention and control of cardiovascular health.
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Affiliation(s)
- Rongren Kuang
- Department of Cardiovascular Disease, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Yiling Liao
- Department of Cardiovascular Disease, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Xinhan Xie
- Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Biao Li
- Department of Cardiovascular Disease, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Xiaojuan Lin
- Department of Cardiovascular Disease, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Qiang Liu
- Department of Cardiovascular Disease, Shenzhen Traditional Chinese Medicine Hospital, The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China
- * E-mail: (WY); (XL); (QL)
| | - Xiang Liu
- Department of Respiratory Disease, The 903rd Hospital of the People’s Liberation Army, Hangzhou, China
- * E-mail: (WY); (XL); (QL)
| | - Wenya Yu
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
- * E-mail: (WY); (XL); (QL)
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11
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Ozen E, Mihaylova R, Weech M, Kinsella S, Lovegrove JA, Jackson KG. Association between dietary saturated fat with cardiovascular disease risk markers and body composition in healthy adults: findings from the cross-sectional BODYCON study. Nutr Metab (Lond) 2022; 19:15. [PMID: 35241101 PMCID: PMC8896371 DOI: 10.1186/s12986-022-00650-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 01/31/2022] [Indexed: 12/12/2022] Open
Abstract
Background Diets high in saturated fatty acids (SFAs) and greater abdominal obesity are both associated with raised low-density lipoprotein cholesterol (LDL-C) concentrations, an independent cardiovascular disease (CVD) risk marker. Although reducing SFA intake is a public health strategy for CVD prevention, the role of body fat distribution on the relationship between SFA and LDL-C is unclear. Therefore, our objective was to investigate whether the association between dietary SFAs and LDL-C concentrations is related to body composition.
Methods In the BODYCON (impact of physiological and lifestyle factors on body composition) study, 409 adults [mean age 42 ± 16 years and median BMI of 23.5 (21.5–25.9) kg/m2] underwent a measure of body composition by dual energy x-ray absorptiometry, assessment of habitual dietary intake using a 4-day weighed food diary and physical activity level using a tri-axial accelerometer. Blood pressure was measured, and a fasting blood sample was collected to determine cardiometabolic disease risk markers. Correlations between body composition, circulating risk markers and dietary macronutrients were assessed prior to multivariate regression analysis. The effect of increasing intakes of dietary SFA on outcome measures was assessed using ANCOVA after adjusting for covariates.
Results Abdominal visceral adipose tissue (VAT) mass was moderately positively correlated with total cholesterol (TC), LDL-C, systolic blood pressure (SBP), diastolic blood pressure and HOMA-IR (rs = 0.25–0.44, p < 0.01). In multiple regression analysis, 18.3% of the variability in LDL-C was explained by SFA intake [% total energy (TE)], abdominal VAT mass, carbohydrate%TE and fat%TE intakes. When data were stratified according to increasing SFA%TE intakes, fasting TC, LDL-C and non-high-density lipoprotein-cholesterol were higher in Q4 compared with Q2 (p ≤ 0.03). SBP was higher in Q4 versus Q3 (p = 0.01). Android lean mass was also higher in Q3 versus Q1 (p = 0.02). Other anthropometric and CVD risk markers were not different across quartile groups. Conclusions Although dietary SFA was found to explain 9% of the variability in LDL-C, stratification of data according to quartiles of SFA intake did not reveal a dose-dependent relationship with LDL-C concentration. Furthermore, this association appeared to be independent of abdominal obesity in this cohort. Clinical Trail registration: Trial registration: clinicaltrials.gov as NCT02658539. Registered 20 January 2016, https://clinicaltrials.gov/ct2/show/NCT02658539. Supplementary Information The online version contains supplementary material available at 10.1186/s12986-022-00650-y.
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Affiliation(s)
- Ezgi Ozen
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research and Institute for Food, Nutrition and Health, University of Reading, Harry Nursten Building, Whiteknights, Pepper Lane, Reading, RG6 6DZ, UK
| | - Rada Mihaylova
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research and Institute for Food, Nutrition and Health, University of Reading, Harry Nursten Building, Whiteknights, Pepper Lane, Reading, RG6 6DZ, UK
| | - Michelle Weech
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research and Institute for Food, Nutrition and Health, University of Reading, Harry Nursten Building, Whiteknights, Pepper Lane, Reading, RG6 6DZ, UK
| | - Sam Kinsella
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research and Institute for Food, Nutrition and Health, University of Reading, Harry Nursten Building, Whiteknights, Pepper Lane, Reading, RG6 6DZ, UK
| | - Julie A Lovegrove
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research and Institute for Food, Nutrition and Health, University of Reading, Harry Nursten Building, Whiteknights, Pepper Lane, Reading, RG6 6DZ, UK
| | - Kim G Jackson
- Hugh Sinclair Unit of Human Nutrition, Department of Food and Nutritional Sciences and Institute for Cardiovascular and Metabolic Research and Institute for Food, Nutrition and Health, University of Reading, Harry Nursten Building, Whiteknights, Pepper Lane, Reading, RG6 6DZ, UK.
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12
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Tsygankova DP, Bazdyrev ED, Indukaeva EV, Agienko AS, Nakhratova OV, Artamonova GV, Barbarash OL. Factors Determining the Three-Year Dynamics of Lipid Metabolism Indicators in Residents of a Large Industrial Region of Siberia. RATIONAL PHARMACOTHERAPY IN CARDIOLOGY 2022. [DOI: 10.20996/1819-6446-2021-12-16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Aim. To assess the contribution of traditional and socio-economic factors to the development and dynamics of dyslipidemia based on the results of an epidemiological study in a large region of Siberia.Material and methods. Clinical and epidemiological prospective study of the population 35-70 years old was carried out. At the basic stage, 1600 participants were examined, including 1124 women and 476 men, the prospective stage included 807 respondents (the response was 84.1%). A survey was carried out to find out the state of health (presence of diseases, taking medications), socio-economic status (level of education and income, marital status) and the presence of behavioral risk factors (tobacco and alcohol use).Results. The proportion of people with hypercholesterolemia increased 1.2 times, low LDL – 1.1 times, and hypertriglyceridemia and low HDL – 1.7 times. In persons with hypertriglyceridemia, the frequency of detected obesity and hypertension decreased by 7.9% and 4.6%, respectively (p = 0.046). Obesity was associated with an increased risk of developing hypercholesterolemia (OR = 1.49, CI: 1.0-2.2), hypertriglyceridemia (OR = 2.14, CI: 1.5-3.0), high LDL cholesterol (OR = 2.16, CI: 1.3-3.6) and low HDL cholesterol (OR = 2.07, CI: 1.5-2.9). The presence of hypertension - with an increased risk of developing hypertriglyceridemia (OR = 2.19, CI: 1.5-3.1) and low HDL (OR = 2.49, CI: 1.8-3.5). Among people with low HDL levels, the number of smokers and drinkers decreased (by 7.0% and 5.7%, respectively), as well as those with obesity by 8.6%. The prevalence of dyslipidemia increased in all socioeconomic groups.Conclusion. Over 3 years of follow-up, there was a statistically significant increase in the proportion of persons with dyslipidemia in all socio-economic groups. There was a significant decrease in such risk factors as obesity, hypertension, smoking, alcohol consumption and an increase in the number of respondents taking lipid-lowering therapy.
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Affiliation(s)
- D. P. Tsygankova
- Research Institute for Complex Issues of Cardiovascular Diseases
| | - E. D. Bazdyrev
- Research Institute for Complex Issues of Cardiovascular Diseases
| | - E. V. Indukaeva
- Research Institute for Complex Issues of Cardiovascular Diseases
| | - A. S. Agienko
- Research Institute for Complex Issues of Cardiovascular Diseases
| | - O. V. Nakhratova
- Research Institute for Complex Issues of Cardiovascular Diseases
| | - G. V. Artamonova
- Research Institute for Complex Issues of Cardiovascular Diseases
| | - O. L. Barbarash
- Research Institute for Complex Issues of Cardiovascular Diseases
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13
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Chen MM, Huang X, Xu C, Song XH, Liu YM, Yao D, Lu H, Wang G, Zhang GL, Chen Z, Sun T, Yang C, Lei F, Qin JJ, Ji YX, Zhang P, Zhang XJ, Zhu L, Cai J, Wan F, She ZG, Li H. High Remnant Cholesterol Level Potentiates the Development of Hypertension. Front Endocrinol (Lausanne) 2022; 13:830347. [PMID: 35222285 PMCID: PMC8863865 DOI: 10.3389/fendo.2022.830347] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 01/11/2022] [Indexed: 01/31/2023] Open
Abstract
BACKGROUND Emerging evidence suggests an association between remnant cholesterol (RC) and vascular damage and hypertension. However, this association has not been explored in a large-scale population in China, and a temporal relationship between RC and hypertension also needs to be investigated. METHODS We conducted a retrospective cross-sectional study in 2,199,366 individuals and a longitudinal study in 24,252 individuals with repeated measurements of lipid profile and blood pressure in at least a 3-year follow-up. The logistic model was used to explore the association between lipid components and hypertension in the cross-sectional analysis. The Cox model was used to analyze the association between high RC (HRC) at baseline and the subsequent incidence of hypertension or the association between hypertension at baseline and incidence of HRC. The cross-lagged panel model was applied to analyze the temporal relationship between RC and hypertension. RESULTS RC level as a continuous variable had the highest correlation with hypertension among lipid profiles, including RC, low-density lipoprotein cholesterol, total cholesterol, non-high-density lipoprotein cholesterol, and triglycerides, with an odds ratio of 1.59 (95% confidence interval: 1.58-1.59). In the longitudinal cohort, HRC at baseline was associated with incident hypertension. We further explored the temporal relationship between RC and hypertension using the cross-lagged analysis, and the results showed that RC increase preceded the development of hypertension, rather than vice versa. CONCLUSIONS RC had an unexpected high correlation with the prevalence and incidence of hypertension. Moreover, RC increase might precede the development of hypertension, suggesting the potential role of RC in the development of hypertension.
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Affiliation(s)
- Ming-Ming Chen
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Xuewei Huang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Chengsheng Xu
- Department of Cardiology, Huanggang Central Hospital, Huanggang, China
| | - Xiao-Hui Song
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Ye-Mao Liu
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Dongai Yao
- Physical Examination Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Huiming Lu
- General Medical Department, China Resource and WireCo Wire Rope Co (CR & WISCO) General Hospital, Wuhan, China
| | - Gang Wang
- Basic Medical Laboratory, General Hospital of Central Theater Command, Wuhan, China
| | - Gui-Lan Zhang
- Physical Examination Center, Xiaogan Central Hospital, Xiaogan, China
| | - Ze Chen
- Institute of Model Animal, Wuhan University, Wuhan, China
- Department of Cardiology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Tao Sun
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Chengzhang Yang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Fang Lei
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Juan-Juan Qin
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Yan-Xiao Ji
- Institute of Model Animal, Wuhan University, Wuhan, China
- Medical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Peng Zhang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
- School of Basic Medical Science, Wuhan University, Wuhan, China
| | - Xiao-Jing Zhang
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
- School of Basic Medical Science, Wuhan University, Wuhan, China
| | - Lihua Zhu
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
| | - Jingjing Cai
- Institute of Model Animal, Wuhan University, Wuhan, China
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Feng Wan
- Department of Neurology, Huanggang Central Hospital, Huanggang, China
- Huanggang Institute of Translational Medicine, Huanggang, China
- *Correspondence: Feng Wan, ; Zhi-Gang She, ; Hongliang Li,
| | - Zhi-Gang She
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
- *Correspondence: Feng Wan, ; Zhi-Gang She, ; Hongliang Li,
| | - Hongliang Li
- Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, China
- Institute of Model Animal, Wuhan University, Wuhan, China
- Medical Science Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
- Huanggang Institute of Translational Medicine, Huanggang, China
- *Correspondence: Feng Wan, ; Zhi-Gang She, ; Hongliang Li,
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14
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Martín Enguix D, Hidalgo Rodríguez A, Sánchez Cambronero M, Aguirre Rodríguez JC. Application of the individualized objectives defined by the European 2019 lipid guidelines in patients with type 2 diabetes. CLINICA E INVESTIGACION EN ARTERIOSCLEROSIS : PUBLICACION OFICIAL DE LA SOCIEDAD ESPANOLA DE ARTERIOSCLEROSIS 2022; 34:19-26. [PMID: 34876304 DOI: 10.1016/j.arteri.2021.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/04/2021] [Revised: 08/12/2021] [Accepted: 09/21/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND AND OBJECTIVE Cardiovascular disease is one of the main complications of people with type 2 diabetes (T2D). The ESC/ESA 2019 lipid guide has led to a change in dyslipidemia control. We analyze the evolution of the lipid profile, the fulfillment of the low-density cholesterol (LDL-C) targets, how patients are classified and the impact of this guide on lipid control in T2D patients. MATERIALS AND METHODS A prospective cohort study from 2017 to 2020 from a cohort of 297 T2D out of a total of 1229 (95% confidence level). We classified patients according to their cardiovascular risk and whether they met or not their LDL-C goal. RESULTS Age 62.58±10.68 years; 52.79% men. Mean LDL-C levels 116.2 at baseline and 100.2mg/dL at 4 years (P<.001). They met their individualized LDL-C target after publication of the guide: 57 (21.67%). There were more controls who were under 65 years (57.9 vs. 36.9%; P<.01; RR 0.83), men (66.7 vs. 49.5%; P<.05; RR 0.86) and smokers (17.5 vs. 7.8%; P<.05). A percentage of 74.23 had a high cardiovascular risk and a target LDL-C<70mg/dL. CONCLUSIONS Since the publication of the ESC/ESA 2019 lipid guide, a decrease in LDL-C levels has been observed. Only one in 5 patients fulfill their individualized LDL-C target. Male patients, under 65 years of age and smokers presented an advantage in meeting their goal. Most T2D patients have a high cardiovascular risk, and the predominant LDL-C target is less than 70mg/dL.
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Affiliation(s)
- David Martín Enguix
- Centro de Salud La Zubia, Distrito Sanitario Granada Metropolitano, La Zubia, Granada, España.
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15
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Guan P, Su Y, Wang M, Ye X, Hang Y, Li D, Zhang P, Hu W. A wide range of triglyceride levels is sufficient for fetal growth at gestational weeks 12-16, but higher triglyceride levels are associated with gestational hypertension. Pregnancy Hypertens 2021; 27:74-80. [PMID: 34973596 DOI: 10.1016/j.preghy.2021.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 12/14/2021] [Accepted: 12/22/2021] [Indexed: 11/24/2022]
Abstract
OBJECTIVES To learn whether and how lipid levels are associated with gestational hypertension and fetal growth in normal pregnancy. STUDY DESIGN In a case-control study course, 464 patients with gestational hypertension were pooled into a case group; a total of 1077 women with full-term pregnancies and no pregnancy complications were selected as controls. In a cross-sectional study, whether maternal lipid levels were associated with fetal growth were evaluated in 1077 healthy controls. MAIN OUTCOME MEASURES Maternal lipids and glucose levels and fetal measurements. RESULTS Maternal levels of triglyceride (TG) were significantly higher in the case group than in controls at gestational weeks 12-16. Levels of TG, total cholesterol (TC) and low-densitylipoprotein (LDL-C) in control mothers increased gradually and significantly with increasing gestational week, however, these lipid concentrations lost these steady elevating trends with gestational week increases in the cases. Binary logistic regression showed that TG is a risk factor associated with hypertension at gestational weeks 12-16 and independent to maternal blood levels of LDL-C and glucose. Of the healthy mothers at gestational weeks 12-16, quantile regression showed that TG levels were not associated with real-time fetal growth measurements or final birthweight. The reference standards for maternal TG levels were estimated via the 10th, 25th, 50th, 75th, and 90th percentiles by gestational week. CONCLUSIONS Maternal TG levels are associated with gestational hypertension, and a wide range of TG levels is sufficient for fetal growth within a given gestational week.
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Affiliation(s)
- Ping Guan
- Department of Cardiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Minhang District, Shanghai 201199, PR China
| | - Yanling Su
- Department of Cardiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Minhang District, Shanghai 201199, PR China
| | - Man Wang
- Department of Obstetrics and Gynecology, Minhang Hospital, Fudan University, 170 Xinsong Road, Minhang District, Shanghai 201199, PR China
| | - Xiaomiao Ye
- Department of Cardiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Minhang District, Shanghai 201199, PR China
| | - Yanwen Hang
- Department of Cardiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Minhang District, Shanghai 201199, PR China
| | - Dandan Li
- Department of Cardiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Minhang District, Shanghai 201199, PR China
| | - Peng Zhang
- Department of Cardiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Minhang District, Shanghai 201199, PR China
| | - Wei Hu
- Department of Cardiology, Minhang Hospital, Fudan University, 170 Xinsong Road, Minhang District, Shanghai 201199, PR China.
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16
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Secci R, Hartmann A, Walter M, Grabe HJ, Van der Auwera-Palitschka S, Kowald A, Palmer D, Rimbach G, Fuellen G, Barrantes I. Biomarkers of geroprotection and cardiovascular health: An overview of omics studies and established clinical biomarkers in the context of diet. Crit Rev Food Sci Nutr 2021; 63:2426-2446. [PMID: 34648415 DOI: 10.1080/10408398.2021.1975638] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The slowdown, inhibition, or reversal of age-related decline (as a composite of disease, dysfunction, and, ultimately, death) by diet or natural compounds can be defined as dietary geroprotection. While there is no single reliable biomarker to judge the effects of dietary geroprotection, biomarker signatures based on omics (epigenetics, gene expression, microbiome composition) are promising candidates. Recently, omic biomarkers started to supplement established clinical ones such as lipid profiles and inflammatory cytokines. In this review, we focus on human data. We first summarize the current take on genetic biomarkers based on epidemiological studies. However, most of the remaining biomarkers that we describe, whether omics-based or clinical, are related to intervention studies. Then, because of their promising potential in the context of dietary geroprotection, we focus on the effects of berry-based interventions, which up to now have been mostly described employing clinical markers. We provide an aggregation and tabulation of all the recent systematic reviews and meta-analyses that we could find related to this topic. Finally, we present evidence for the importance of the "nutribiography," that is, the influence that an individual's history of diet and natural compound consumption can have on the effects of dietary geroprotection.
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Affiliation(s)
- Riccardo Secci
- Junior Research Group Translational Bioinformatics, Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany
| | - Alexander Hartmann
- Institute for Clinical Chemistry and Laboratory Medicine, University Medical Center Rostock, University of Rostock, Rostock, Germany
| | - Michael Walter
- Institute for Clinical Chemistry and Laboratory Medicine, University Medical Center Rostock, University of Rostock, Rostock, Germany.,Institute of Laboratory Medicine, Clinical Chemistry, and Pathobiochemistry, Charite University Medical Center, Berlin, Germany
| | - Hans Jörgen Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.,German Centre for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Sandra Van der Auwera-Palitschka
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.,German Centre for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Axel Kowald
- Institute for Biostatistics and Informatics in Medicine and Aging Research, Rostock University Medical Center, Rostock, Germany
| | - Daniel Palmer
- Institute for Biostatistics and Informatics in Medicine and Aging Research, Rostock University Medical Center, Rostock, Germany
| | - Gerald Rimbach
- Institute of Human Nutrition and Food Science, University of Kiel, Kiel, Germany
| | - Georg Fuellen
- Institute for Biostatistics and Informatics in Medicine and Aging Research, Rostock University Medical Center, Rostock, Germany
| | - Israel Barrantes
- Junior Research Group Translational Bioinformatics, Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany
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Locatelli M, Grassi M, Saba V, Iacovello L, di Castelnuovo A, de Gaetano G, Zedde M, Marcheselli S, Silvestrelli G, Ciccone A, Delodovici ML, Princiotta Cariddi L, Giossi A, Zini A, Paciaroni M, Acciarresi M, Azzini C, De Vito A, Gamba M, Magoni M, Del Sette M, Toriello A, Gandolfo C, Finocchi C, Bonifati DM, Tassi R, Martini G, Cavallini A, Morotti A, Bonacina S, Mazzoleni V, Pezzini D, Chiti A, Calabrò RS, Musolino R, La Spina P, Grillo F, Tomelleri G, Lodigiani C, Ritelli M, Colombi M, Padovani A, Pezzini A. Age-dependent effect of susceptibility factors on the risk of intracerebral haemorrhage: Multicenter Study on Cerebral Hemorrhage in Italy (MUCH-Italy). J Neurol Neurosurg Psychiatry 2021; 92:1068-1071. [PMID: 34253639 DOI: 10.1136/jnnp-2020-325648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 06/09/2021] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To investigate the age-dependent impact of traditional stroke risk factors on the occurrence of intracerebral haemorrhage (ICH). METHODS We performed a case-control analysis, comparing consecutive patients with ICH with age-matched and sex-matched stroke-free controls, enrolled in the setting of the Multicenter Study on Cerebral Hemorrhage in Italy (MUCH-Italy) between 2002 and 2014 by multivariable logistic regression model within subgroups stratified by age quartiles (Q1-Q4). RESULTS We analysed 3492 patients and 3492 controls. The impact of untreated hypertension on the risk of ICH was higher in the lower than in the upper age quartile (OR 11.64, 95% CI 7.68 to 17.63 in Q1 vs OR 6.05, 95% CI 3.09 to 11.85 in Q4 with intermediate ORs in Q2 and Q3), while the opposite trend was observed for untreated hypercholesterolaemia (OR 0.63, 95% CI 0.45 to 0.97 in Q1 vs OR 0.36, 95% CI 0.26 to 0.56 in Q4 with intermediate ORs in Q2 and Q3). The effect of untreated diabetes and excessive alcohol intake was detected only in the older age group (OR 3.63, 95% CI 1.22 to 10.73, and OR 1.69, 95% CI 1.13 to 2.51, respectively). CONCLUSIONS Our findings provide evidence of age-dependent differences in the effects of susceptibility factors on the risk of ICH.
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Affiliation(s)
- Martina Locatelli
- Dipartimento di Scienze Cliniche e Sperimentali, Clinica Neurologica, Università degli Studi di Brescia, Brescia, Italia
| | - Mario Grassi
- Dipartimento di Scienze del Sistema Nervoso e del Comportamento, Unità di Statistica Medica e Genomica, University of Pavia, Pavia, Italy
| | - Valentina Saba
- Dipartimento di Scienze del Sistema Nervoso e del Comportamento, Unità di Statistica Medica e Genomica, University of Pavia, Pavia, Italy
| | - Licia Iacovello
- Università dell'Insubria, Varese, Italia.,Dipartimento di Epidemiologia e Prevenzione, NEUROMED, Pozzilli, Italia
| | | | | | - Marialuisa Zedde
- S.C. Neurologia, Stroke Unit, Università di Modena e Reggio Emilia, Reggio Emilia, Italia
| | - Simona Marcheselli
- Neurologia d'Urgenza and Stroke Unit, IRCCS Humanitas Group, Rozzano, Italia
| | - Giorgio Silvestrelli
- Stroke Unit, Dipartimento di Neuroscienze, Azienda Socio Sanitaria Territoriale di Mantova, Mantova, Italia
| | - Alfonso Ciccone
- Stroke Unit, Dipartimento di Neuroscienze, Azienda Socio Sanitaria Territoriale di Mantova, Mantova, Italia
| | | | | | - Alessia Giossi
- UO Neurologia, Azienda Ospedaliera Istituti Ospedalieri di Cremona, Cremona, Italia
| | - Andrea Zini
- Istituto delle Scienze Neurologiche di Bologna, UOC Neurologia e Rete Stroke Metropolitana, IRCCS Policlinico Sant'Orsola-Malpighi Università di Bologna, Bologna, Italia
| | - Maurizio Paciaroni
- Stroke Unit and Divisione di Medicina Cardiovascolare, Università degli Studi di Perugia, Perugia, Italia
| | - Monica Acciarresi
- Stroke Unit and Divisione di Medicina Cardiovascolare, Università degli Studi di Perugia, Perugia, Italia
| | - Cristiano Azzini
- Stroke Unit, Divisione di Neurologia, Dipartimento di Neuroscienze e Riabilitazione, Università di Ferrara, Ferrara, Italia
| | - Alessandro De Vito
- Stroke Unit, Divisione di Neurologia, Dipartimento di Neuroscienze e Riabilitazione, Università di Ferrara, Ferrara, Italia
| | - Massimo Gamba
- Stroke Unit, Neurologia Vascolare, ASST Azienda Ospedaliera Spedali Civili di Brescia, Brescia, Italia
| | - Mauro Magoni
- Stroke Unit, Neurologia Vascolare, ASST Azienda Ospedaliera Spedali Civili di Brescia, Brescia, Italia
| | | | - Antonella Toriello
- UOC Neurologia, Università degli Studi di Salerno Facoltà di Medicina e Chirurgia, Salerno, Italia
| | - Carlo Gandolfo
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili, Università degli Studi di Genova, Genova, Italia
| | - Cinzia Finocchi
- Dipartimento di Neuroscienze, Riabilitazione, Oftalmologia, Genetica e Scienze Materno-Infantili, Università degli Studi di Genova, Genova, Italia
| | | | | | | | | | - Andrea Morotti
- UOC Neurologia, ASST Azienda Ospedaliera Spedali Civili, Brescia, Italia
| | - Sonia Bonacina
- Dipartimento di Scienze Cliniche e Sperimentali, Clinica Neurologica, Università degli Studi di Brescia, Brescia, Italia
| | - Valentina Mazzoleni
- Dipartimento di Scienze Cliniche e Sperimentali, Clinica Neurologica, Università degli Studi di Brescia, Brescia, Italia
| | - Debora Pezzini
- Dipartimento di Scienze Cliniche e Sperimentali, Clinica Neurologica, Università degli Studi di Brescia, Brescia, Italia
| | - Alberto Chiti
- Neurologia, Azienda Ospedaliero Universitaria Pisana, Pisa, Italia
| | - Rocco Salvatore Calabrò
- Istituto di Ricovero e Cura a Carattere Scientifico Centro Neurolesi Bonino Pulejo, Messina, Italia
| | - Rosa Musolino
- Dipartimento di Medicina Clinica e Sperimentale, Scienze Psichiatriche e Anestesiologiche Clinica Neurologica, Università di Messina Facoltà di Medicina e Chirurgia, Messina, Italia
| | - Paolo La Spina
- Dipartimento di Medicina Clinica e Sperimentale, Scienze Psichiatriche e Anestesiologiche Clinica Neurologica, Università di Messina Facoltà di Medicina e Chirurgia, Messina, Italia
| | - Francesco Grillo
- Dipartimento di Medicina Clinica e Sperimentale, Scienze Psichiatriche e Anestesiologiche Clinica Neurologica, Università di Messina Facoltà di Medicina e Chirurgia, Messina, Italia
| | - Giampaolo Tomelleri
- USD Stroke Unit, DAI di Neuroscienze, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italia
| | - Corrado Lodigiani
- UOC Centro Trombosi e Malattie Emorragiche, IRCCS Humanitas Group, Rozzano, Italia
| | - Marco Ritelli
- Sezione di Biologia e Genetica, Dipartimento di Medicina Molecolare e Traslazionale, Università degli Studi di Brescia, Brescia, Italia
| | - Marina Colombi
- Sezione di Biologia e Genetica, Dipartimento di Medicina Molecolare e Traslazionale, Università degli Studi di Brescia, Brescia, Italia
| | - Alessandro Padovani
- Dipartimento di Scienze Cliniche e Sperimentali, Clinica Neurologica, Università degli Studi di Brescia, Brescia, Italia
| | - Alessandro Pezzini
- Dipartimento di Scienze Cliniche e Sperimentali, Clinica Neurologica, Università degli Studi di Brescia, Brescia, Italia
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18
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Hu Z, Cui J, Li X, Zhou Y, Cai L, Zhang S. High-Density Lipoprotein Cholesterol in Young Nondiabetic Coronary Heart Disease Patients. Cardiol Res Pract 2021; 2021:2970568. [PMID: 34336270 PMCID: PMC8292093 DOI: 10.1155/2021/2970568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Accepted: 07/07/2021] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVE To investigate the association between the lipid profiles and coronary heart disease (CHD) in nondiabetic patients younger than 65 years of age. METHOD 424 patients were enrolled in this study from January 2019 to December 2020. All the patients were screened for clinically indicated coronary angiography. They were divided into two groups according to the coronary angiography results: 340 patients with the presence of CHD (at least one coronary artery stenosis ≥50%) were classified as the CHD group, and the rest with the absence of CHD comprised the normal group. The demographic data and lipid profiles were compared. RESULT CHD was higher in males than females (84.5% vs. 62.2%, P < 0.001). In the CHD group, the level of high-density lipoprotein cholesterol (HDL-C) was lower (P < 0.001), while the triglyceride (TG)/HDL-C ratio was higher (P=0.022). No significant differences were shown between the two groups in terms of age, family history of CHD, hypertension, and the levels of TC, TG, and LDL-C. Gender differences were further explored. In men, except for the level of HDL-C which was significantly lower in the CHD group than that in the normal group (P=0.017), parameters were comparable. A binary logistic regression model further indicated that HDL-C was associated with CHD (OR = 0.137, 95%CI: 0.031-0.594, P=0.008). Also, with the increase of the number of coronary artery with lesions, the levels of HDL-C decreased significantly in men. In women, no differences were observed between the CHD group and normal group. CONCLUSION HDL-C may be inversely associated with the risk of CHD in young nondiabetes patients, especially in men. More research is needed to confirm it.
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Affiliation(s)
- Ziyang Hu
- Department of Cardiology, Zhongshan Hospital of Traditional Chinese Medicine, Zhongshan 528400, China
| | - Jingle Cui
- Department of Cardiothoracic Surgery, Zhongshan Hospital of Traditional Chinese Medicine, Zhongshan 528400, China
| | - Xueshan Li
- Department of Cardiology, Zhongshan Hospital of Traditional Chinese Medicine, Zhongshan 528400, China
| | - Yaohui Zhou
- Emergency Department, Zhongshan Hospital of Traditional Chinese Medicine, Zhongshan 528400, China
| | - Lu Cai
- Department of Clinical Laboratory, Zhongshan Hospital of Traditional Chinese Medicine, Zhongshan 528400, China
| | - Shibin Zhang
- Graduate School of Hunan University of Chinese Medicine, Changsha 410208, China
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