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Pàmies A, Llop D, Ibarretxe D, Rosales R, Masana L, Vallvé JC, Paredes S. Angiopoietin-2, vascular endothelial growth factor family, and heparin binding endothelial growth factor are associated with subclinical atherosclerosis in rheumatoid arthritis. Comput Struct Biotechnol J 2024; 23:1680-1688. [PMID: 38689721 PMCID: PMC11059138 DOI: 10.1016/j.csbj.2024.04.042] [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: 12/21/2023] [Revised: 04/16/2024] [Accepted: 04/16/2024] [Indexed: 05/02/2024] Open
Abstract
Introduction Patients with RA are at a higher risk of developing CV diseases than the general population. The precise mechanisms are still unknown. We evaluated the associations between 8 plasma growth factors (GFs) (angiopoietin-2, EGF, HB-EGF, PLGF, TGF-α, VEGFa, VEGFc, and VEGFd) and subclinical arteriosclerosis in RA patients. Materials and methods A total of 199 patients with RA treated at the Hospital Universitari Sant Joan de Reus (Spain) between 2011 and 2015 were included in this cross-sectional study. Carotid intima media thickness (cIMT), carotid plaque presence (cPP) and pulse wave velocity (PWV) were measured. GFs were measured with Bio-Plex Pro Human Cancer Biomarker Panel 2 (Bio-Rad). Multivariate models and partial least square discriminant analysis (PLS-DA) were used for analysis (RStudio, version 4.0.1). Results Multivariate models showed that angiopoietin-2 was associated with cPP and PWV in the overall cohort (OR = 1.53 and β = 0.20, respectively). VEGFc (β = 0.29), VEGFa (β = 0.26) and HB-EGF (β = 0.22) were also associated with PWV. VEGFa (OR = 2.36), VEGFd (OR = 2.29), EGF (OR = 2.62), PLGF (OR = 2.54), and HB-EGF (OR = 2.24) were associated with cPP in men. According to PLS-DA, GFs were able to distinguish between patients with and without cPP in the overall cohort, male cohort, and female cohort. In women, angiopoietin-2 was associated with PWV (β = 0.18). Conclusions The selected GFs were closely related to atherosclerosis in patients with RA and are potential predictors of CV disease in patients with RA.
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Affiliation(s)
- Anna Pàmies
- Secció de Reumatologia, Hospital Verge de la Cinta, Tortosa, Spain
| | - Dídac Llop
- Unitat Medicina Vascular i Metabolisme, Unitat de Recerca en Lípids i Arteriosclerosi, Hospital Universitari Sant Joan, Universitat Rovira i Virgili, IISPV, Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Daiana Ibarretxe
- Unitat Medicina Vascular i Metabolisme, Unitat de Recerca en Lípids i Arteriosclerosi, Hospital Universitari Sant Joan, Universitat Rovira i Virgili, IISPV, Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Roser Rosales
- Unitat Medicina Vascular i Metabolisme, Unitat de Recerca en Lípids i Arteriosclerosi, Hospital Universitari Sant Joan, Universitat Rovira i Virgili, IISPV, Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Luis Masana
- Unitat Medicina Vascular i Metabolisme, Unitat de Recerca en Lípids i Arteriosclerosi, Hospital Universitari Sant Joan, Universitat Rovira i Virgili, IISPV, Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Joan-Carles Vallvé
- Unitat Medicina Vascular i Metabolisme, Unitat de Recerca en Lípids i Arteriosclerosi, Hospital Universitari Sant Joan, Universitat Rovira i Virgili, IISPV, Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Silvia Paredes
- Unitat Medicina Vascular i Metabolisme, Unitat de Recerca en Lípids i Arteriosclerosi, Hospital Universitari Sant Joan, Universitat Rovira i Virgili, IISPV, Reus, Spain
- Secció de Reumatologia, Hospital Universitari Sant Joan de Reus, Reus, Spain
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Kersche G, Liblik D, Hétu MF, Matangi MF, Mantella L, Pal RS, Blaha MJ, Johri AM. The association of carotid plaque burden and composition and the coronary artery calcium score in intermediate cardiovascular risk patients. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2024:10.1007/s10554-024-03153-4. [PMID: 38831220 DOI: 10.1007/s10554-024-03153-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 05/23/2024] [Indexed: 06/05/2024]
Abstract
Both the carotid ultrasound and coronary artery calcium (CAC) score quantify subclinical atherosclerosis and are associated with cardiovascular disease and events. This study investigated the association between CAC score and carotid plaque quantity and composition. Adult participants (n = 43) without history of cardiovascular disease were recruited to undergo a carotid ultrasound. Maximum plaque height (MPH), total plaque area (TPA), carotid intima-media thickness (CIMT), and plaque score were measured. Grayscale pixel distribution analysis of ultrasound images determined plaque tissue composition. Participants then underwent CT to determine CAC score, which were also categorized as absent (0), mild (1-99), moderate (100-399), and severe (400+). Spearman correlation coefficients between carotid variables and CAC scores were computed. The mean age of participants was 63 ± 11 years. CIMT, TPA, MPH, and plaque score were significantly associated with CAC score (ρ = 0.60, p < 0.0001; ρ = 0.54, p = 0.0002; ρ = 0.38, p = 0.01; and ρ = 0.49, p = 0.001). Echogenic composition features %Calcium and %Fibrous tissue were not correlated to a clinically relevant extent. There was a significant difference in the TPA, MPH, and plaque scores of those with a severe CAC score category compared to lesser categories. While carotid plaque burden was associated with CAC score, plaque composition was not. Though CAC score reliably measures calcification, carotid ultrasound gives information on both plaque burden and composition. Carotid ultrasound with assessment of plaque features used in conjunction with traditional risk factors may be an alternative or additive to CAC scoring and could improve the prediction of cardiovascular events in the intermediate risk population.
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Raitakari OT, Magnussen CG, Juonala M, Kartiosuo N, Pahkala K, Rovio S, Koskinen JS, Mykkänen J, Laitinen TP, Kähönen M, Nuotio J, Viikari JSA. Subclinical atherosclerosis in young adults predicting cardiovascular disease: The Cardiovascular Risk in Young Finns Study. Atherosclerosis 2024; 393:117515. [PMID: 38582639 DOI: 10.1016/j.atherosclerosis.2024.117515] [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: 02/02/2024] [Revised: 03/05/2024] [Accepted: 03/07/2024] [Indexed: 04/08/2024]
Abstract
BACKGROUND AND AIMS Atherosclerosis is accompanied by pre-clinical vascular changes that can be detected using ultrasound imaging. We examined the value of such pre-clinical features in identifying young adults who are at risk of developing atherosclerotic cardiovascular disease (ASCVD). METHODS A total of 2641 individuals free of ASCVD were examined at the mean age of 32 years (range 24-45 years) for carotid artery intima-media thickness (IMT) and carotid plaques, carotid artery elasticity, and brachial artery flow-mediated endothelium-dependent vasodilation (FMD). The average follow-up time to event/censoring was 16 years (range 1-17 years). RESULTS Sixty-seven individuals developed ASCVD (incidence 2.5%). The lowest incidence (1.1%) was observed among those who were estimated of having low risk according to the SCORE2 risk algorithm (<2.5% 10-year risk) and who did not have plaque or high IMT (upper decile). The highest incidence (11.0%) was among those who were estimated of having a high risk (≥2.5% 10-year risk) and had positive ultrasound scan for carotid plaque and/or high IMT (upper decile). Carotid plaque and high IMT remained independently associated with higher risk in multivariate models. The distributions of carotid elasticity indices and brachial FMD did not differ between cases and non-cases. CONCLUSIONS Screening for carotid plaque and high IMT in young adults may help identify individuals at high risk for future ASCVD.
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Affiliation(s)
- Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, 20520, Turku, Finland.
| | - Costan G Magnussen
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520, Turku, Finland; Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Markus Juonala
- Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland
| | - Noora Kartiosuo
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520, Turku, Finland; Department of Mathematics and Statistics, University of Turku, Turku, Finland
| | - Katja Pahkala
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520, Turku, Finland; Paavo Nurmi Centre and Unit for Health and Physical Activity, University of Turku, 20520, Turku, Finland
| | - Suvi Rovio
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520, Turku, Finland; Department of Public Health, University of Turku and Turku University Hospital, 20520, Turku, Finland
| | - Juhani S Koskinen
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520, Turku, Finland; Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland
| | - Juha Mykkänen
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20520, Turku, Finland
| | - Tomi P Laitinen
- Department of Clinical Physiology and Nuclear Medicine Kuopio University Hospital, Kuopio, Finland; Institute of Clinical Medicine University of Eastern Finland, Kuopio, Finland
| | - Mika Kähönen
- Finnish Cardiovascular Research Center Tampere, Tampere University, Tampere, Finland; Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - Joel Nuotio
- Centre for Population Health Research, University of Turku and Turku University Hospital, 20520, Turku, Finland; Heart Center, Turku University Hospital and University of Turku, Turku, Finland
| | - Jorma S A Viikari
- Department of Medicine, University of Turku, Turku, Finland; Division of Medicine, Turku University Hospital, Turku, Finland
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Nielsen RV, Fuster V, Bundgaard H, Fuster JJ, Johri AM, Kofoed KF, Douglas PS, Diederichsen A, Shapiro MD, Nicholls SJ, Nordestgaard BG, Lindholt JS, MacRae C, Yuan C, Newby DE, Urbina EM, Bergström G, Ridderstråle M, Budoff MJ, Bøttcher M, Raitakari OT, Hansen TH, Näslund U, Sillesen H, Eldrup N, Ibanez B. Personalized Intervention Based on Early Detection of Atherosclerosis: JACC State-of-the-Art Review. J Am Coll Cardiol 2024; 83:2112-2127. [PMID: 38777513 DOI: 10.1016/j.jacc.2024.02.053] [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: 01/04/2024] [Revised: 02/12/2024] [Accepted: 02/22/2024] [Indexed: 05/25/2024]
Abstract
Cardiovascular disease (CVD) remains the leading cause of morbidity and mortality worldwide and challenges the capacity of health care systems globally. Atherosclerosis is the underlying pathophysiological entity in two-thirds of patients with CVD. When considering that atherosclerosis develops over decades, there is potentially great opportunity for prevention of associated events such as myocardial infarction and stroke. Subclinical atherosclerosis has been identified in its early stages in young individuals; however, there is no consensus on how to prevent progression to symptomatic disease. Given the growing burden of CVD, a paradigm shift is required-moving from late management of atherosclerotic CVD to earlier detection during the subclinical phase with the goal of potential cure or prevention of events. Studies must focus on how precision medicine using imaging and circulating biomarkers may identify atherosclerosis earlier and determine whether such a paradigm shift would lead to overall cost savings for global health.
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Affiliation(s)
- Rikke V Nielsen
- Department of Medical Science, Novo Nordisk Foundation, Hellerup, Denmark; Department of Cardiothoracic Anesthesiology, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark.
| | - Valentin Fuster
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain; Mount Sinai Fuster Heart Hospital, New York, New York, USA
| | - Henning Bundgaard
- Department of Cardiology, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jose J Fuster
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain; CIBER en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain
| | - Amer M Johri
- Department of Medicine Queen's University, Kingston, Ontario, Canada
| | - Klaus F Kofoed
- Department of Cardiology, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark; Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Radiology, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark
| | - Pamela S Douglas
- Duke University School of Medicine, Duke Clinical Research Institute, Durham, North Carolina, USA
| | - Axel Diederichsen
- Department of Cardiology, Odense University Hospital, Odense, Denmark
| | - Michael D Shapiro
- Center for Prevention of Cardiovascular Disease, Section on Cardiovascular Disease, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Stephen J Nicholls
- Victorian Heart Institute, Monash University, Melbourne, Victoria, Australia
| | - Børge G Nordestgaard
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Clinical Biochemistry and The Copenhagen General Population Study, Copenhagen University Hospital-Herlev and Gentofte, Herlev, Denmark. https://twitter.com/BNordestgaard
| | - Jes S Lindholt
- Department of Cardiothoracic and Vascular Surgery, Elite Research Centre of Individualised Treatment of Arterial Disease (CIMA), Odense University Hospital, University of Southern Denmark, Odense, Denmark
| | - Calum MacRae
- Harvard Medical School, Department of Medicine, Boston, Massachusetts, USA
| | - Chun Yuan
- Department of Radiology and Imaging Sciences, Spencer Fox Eccles School of Medicine, University of Utah, Salt Lake City, Utah, USA
| | - David E Newby
- Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, Scotland
| | - Elaine M Urbina
- Preventive Cardiology, Cincinnati Children's Hospital Medical Center and the University of Cincinnati, Cincinnati, Ohio, USA
| | - Göran Bergström
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg and Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | | | - Matthew J Budoff
- Department of Medicine, Lundquist Institute at Harbor-UCLA, Torrance, California, USA
| | - Morten Bøttcher
- University Clinic for Cardiovascular Research, Department of Cardiology, Aarhus University/Gødstrup Hospital, Aarhus, Denmark
| | - Olli T Raitakari
- Centre for Population Health Research, Research Centre of Applied and Preventive Cardiovascular Medicine, InFLAMES Research Flagship, University of Turku, Turku, Finland; Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Thomas H Hansen
- Department of Cardiology, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark
| | - Ulf Näslund
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Henrik Sillesen
- Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Nikolaj Eldrup
- Department of Vascular Surgery, Rigshospitalet University Hospital Copenhagen, Copenhagen, Denmark
| | - Borja Ibanez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain; CIBER en Enfermedades Cardiovasculares (CIBERCV), Madrid, Spain; Cardiology Department, IIS-Fundación Jiménez Díaz University Hospital, Madrid, Spain.
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5
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Böttrich T, Bauer P, Gröβer V, Huber M, Raifer H, Frech T, Nolte S, Dombrowski T, Cemic F, Sommer N, Ringseis R, Eder K, Krüger K, Weyh C. Subpopulations of regulatory T cells are associated with subclinical atherosclerotic plaques, levels of LDL, and cardiorespiratory fitness in the elderly. JOURNAL OF SPORT AND HEALTH SCIENCE 2024; 13:288-296. [PMID: 37951470 PMCID: PMC11117006 DOI: 10.1016/j.jshs.2023.11.004] [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: 06/06/2023] [Revised: 08/15/2023] [Accepted: 09/15/2023] [Indexed: 11/14/2023]
Abstract
BACKGROUND Atherosclerosis forms the pathological basis for the development of cardiovascular disease. Since pathological processes initially develop without clinically relevant symptoms, the identification of early markers in the subclinical stage plays an important role for initiating early interventions. There is evidence that regulatory T cells (Tregs) are involved in the development of atherosclerosis. Therefore, the present study aimed to identify and investigate associations with Tregs and their subsets in a cohort of healthy elderly individuals with and without subclinical atherosclerotic plaques (SAP). In addition, various lifestyle and risk factors, such as cardiorespiratory fitness, were investigated as associated signatures. METHODS A cross-sectional study was performed in 79 participants (male: n = 50; age = 63.6 ± 3.7 years; body mass index = 24.9 ± 3.1 kg/m²; mean ± SD) who had no previous diagnosis of chronic disease and were not taking medication. Ultrasound of the carotids to identify SAP, cardiovascular function measurement for vascular assessment and a cardiorespiratory fitness test to determine peak oxygen uptake were performed. Additionally, tests were conducted to assess blood lipids and determine glucose levels. Immunophenotyping of Tregs and their subtypes (resting (rTregs) and effector/memory (mTregs)) was performed by 8-chanel flow cytometry. Participants were categorized according to atherosclerotic plaque status. Linear and logistic regression models were used to analyze associations between parameters. RESULTS SAP was detected in a total of 29 participants. The participants with plaque were older (64.8 ± 3.6 years vs. 62.9 ± 3.5 years) and had higher peripheral systolic blood pressure (133.8 ± 14.7 mmHg vs. 125.8 ± 10.9 mmHg). The participants with SAP were characterized by a lower percentage of rTregs (28.8% ± 10.7% vs. 34.6% ± 10.7%) and a higher percentage of mTregs (40.3% ± 14.7% vs. 30.0% ± 11.9%). Multiple logistic regression identified age (odds ratio (OR) = 1.20 (95% confidence interval (95%CI): 1.01-1.42)) and mTregs (OR = 1.05 (95%CI: 1.02-1.10)) as independent risk factors for SAP. Stepwise linear regression could reveal an association of peak oxygen uptake (β = 0.441), low-density lipoprotein (LDL) (β = -0.096), and SAP (β = 6.733) with mTregs and LDL (β = 0.104) with rTregs. CONCLUSION While at an early stage of SAP, the total proportion of Tregs gives no indication of vascular changes, this is indicated by a shift in the Treg subgroups. Factors such as serum LDL or cardiopulmonary fitness may be associated with this shift and may also be additional diagnostic indicators. This could be used to initiate lifestyle-based preventive measures at an early stage, which may have a protective effect against disease progression.
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Affiliation(s)
- Tim Böttrich
- Department of Exercise Physiology and Sports Therapy, Institute of Sports Science, Justus-Liebig-University, Giessen 35394, Germany
| | - Pascal Bauer
- Department of Cardiology and Angiology, Justus-Liebig-University Giessen, Giessen 35392, Germany
| | - Vincent Gröβer
- Department of Cardiology and Angiology, Justus-Liebig-University Giessen, Giessen 35392, Germany
| | - Magdalena Huber
- Department of Cardiology and Angiology, Justus-Liebig-University Giessen, Giessen 35392, Germany
| | - Hartmann Raifer
- Institute for Systems Immunology, Center for Tumor und Immunology, Marburg 35032, Germany
| | - Torsten Frech
- Department of Exercise Physiology and Sports Therapy, Institute of Sports Science, Justus-Liebig-University, Giessen 35394, Germany
| | - Svenja Nolte
- Department of Exercise Physiology and Sports Therapy, Institute of Sports Science, Justus-Liebig-University, Giessen 35394, Germany
| | - Theresa Dombrowski
- Department of Exercise Physiology and Sports Therapy, Institute of Sports Science, Justus-Liebig-University, Giessen 35394, Germany
| | - Franz Cemic
- TH Mittelhessen, Department of Computer Science, University of Applied Sciences Giessen, Giessen 35390, Germany
| | - Natascha Sommer
- Department of Internal Medicine, Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Giessen 35394, Germany; Excellence Cluster Cardio-Pulmonary Institute (CPI), Justus-Liebig University, Giessen 35394, Germany
| | - Robert Ringseis
- Institute of Animal Nutrition and Nutrition Physiology, Justus-Liebig-University Giessen, Giessen 35390, Germany
| | - Klaus Eder
- Institute of Animal Nutrition and Nutrition Physiology, Justus-Liebig-University Giessen, Giessen 35390, Germany
| | - Karsten Krüger
- Department of Exercise Physiology and Sports Therapy, Institute of Sports Science, Justus-Liebig-University, Giessen 35394, Germany.
| | - Christopher Weyh
- Department of Exercise Physiology and Sports Therapy, Institute of Sports Science, Justus-Liebig-University, Giessen 35394, Germany
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Spasova N, Somleva D, Krastev B, Ilieva R, Borizanova A, Svinarov D, Kinova E, Goudev A. Association of the trimethylamine N-oxide with cardiovascular risk and vascular alterations in middle-aged patients with risk factors for cardiovascular diseases. Biosci Rep 2024; 44:BSR20232090. [PMID: 38669041 DOI: 10.1042/bsr20232090] [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: 12/20/2023] [Revised: 04/15/2024] [Accepted: 04/26/2024] [Indexed: 05/26/2024] Open
Abstract
BACKGROUND Trimethylamine N-oxide (TMAO) is synthesized by the intestinal microbiota and is an independent predictor of cardiovascular disease (CVD). However, its underlying mechanisms remain unclear. We investigated TMAO levels across different CVD-risk patient groups, and evaluated associations between TMAO and vascular alterations (e.g., arterial stiffness, intima-media thickness [IMT], and the presence and grade of carotid artery plaques [CAPs]). METHODS We examined 95 patients (58.5 ± 7.3 years): 40 with clinical atherosclerotic cardiovascular disease (ASCVD), 40 with atherosclerosis risk factors (RF), and 15 controls. Arterial stiffness was measured by Carotid-Femoral Pulse Wave Velocity (C-F PWV). B-mode ultrasound was used to evaluate the presence and grade of CAPs and carotid IMT (CIMT). TMAO was measured by high performance liquid chromatography-tandem mass spectrometry (LC-MS/MS) and results were presented as the median (interquartile range). RESULTS TMAO levels were higher in patients with ASCVD (251.5 [164.5] µg/l) when compared with patients with RFs (194.0 [174] µg/l, P=0.04) and controls (122.0 (77) µg/l, P<0.001). A significant correlation was observed between TMAO and PWV (r = 0.31, P=0.003), which was not confirmed after adjustment for RFs. TMAO levels were significantly correlated with plaque score (r = 0.46, P<0.001) and plaque height (r=0.41, P=0.003), and were independent predictors for grade III plaques (odds ratio [OR] = 1.002, confidence interval (CI) 95%: 1.000047-1.003, P=0.044). CONCLUSIONS TMAO levels are increased with expanded CVD risk. Across different types of vascular damage, TMAO is associated with atherosclerotic changes.
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Affiliation(s)
- Natalia Spasova
- Department of Cardiology, University Hospital, UMHAT "Tsaritsa Yoanna - ISUL", Sofia, Bulgaria
| | - Desislava Somleva
- Department of Cardiology, University Hospital, UMHAT "Tsaritsa Yoanna - ISUL", Sofia, Bulgaria
| | - Bozhidar Krastev
- Department of Cardiology, University Hospital, UMHAT "Tsaritsa Yoanna - ISUL", Sofia, Bulgaria
| | - Radostina Ilieva
- Department of Cardiology, University Hospital, UMHAT "Tsaritsa Yoanna - ISUL", Sofia, Bulgaria
| | - Angelina Borizanova
- Department of Cardiology, University Hospital, UMHAT "Tsaritsa Yoanna - ISUL", Sofia, Bulgaria
| | - Dobrin Svinarov
- University Hospital Alexandrovska, Faculty of Medicine, Medical University, Sofia
| | - Elena Kinova
- Department of Cardiology, University Hospital, UMHAT "Tsaritsa Yoanna - ISUL", Sofia, Bulgaria
| | - Assen Goudev
- Department of Cardiology, University Hospital, UMHAT "Tsaritsa Yoanna - ISUL", Sofia, Bulgaria
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Ban S, Sakakura K, Jinnouchi H, Taniguchi Y, Tsukui T, Hatori M, Watanabe Y, Yamamoto K, Seguchi M, Wada H, Fujita H. Association of Increased Inter-arm Blood Pressure Difference with Long-term Clinical Outcomes in Patients with Acute Myocardial Infarction Who Underwent Percutaneous Coronary Intervention. Intern Med 2024; 63:1043-1051. [PMID: 37661448 PMCID: PMC11081902 DOI: 10.2169/internalmedicine.2320-23] [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: 05/19/2023] [Accepted: 07/20/2023] [Indexed: 09/05/2023] Open
Abstract
Objective Patients with acute myocardial infarction (AMI) often have peripheral artery disease (PAD). It is well known that the long-term clinical outcomes of AMI are worse in patients with a low ankle-brachial index (ABI) than in patients with a preserved ABI. Unlike ABI, the association between the inter-arm blood pressure difference (IABPD) and clinical outcomes in patients with AMI has not yet been established. This retrospective study examined whether or not the IABPD is associated with long-term clinical outcomes in patients with AMI. Methods We included 979 patients with AMI and divided them into a high-IABPD group (IABPD ≥10 mmHg, n=31) and a low-IABPD group (IABPD <10 mmHg, n=948) according to the IABPD measured during hospitalization for AMI. The primary endpoint was the all-cause mortality rate. Results During a median follow-up duration of 694 days (Q1, 296 days; Q3, 1,281 days), 82 all-cause deaths were observed. Kaplan-Meier curves showed that all-cause death was more frequently observed in the high-IABPD group than in the low-IABPD group (p<0.001). A multivariate Cox hazard analysis revealed that a high IABPD was significantly associated with all-cause death (hazard ratio 2.061, 95% confidence interval 1.012-4.197, p=0.046) after controlling for multiple confounding factors. Conclusion A high IABPD was significantly associated with long-term all-cause mortality in patients with AMI. Our results suggest the usefulness of the IABPD as a prognostic marker for patients with AMI.
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Affiliation(s)
- Soichiro Ban
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Kenichi Sakakura
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Hiroyuki Jinnouchi
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Yousuke Taniguchi
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Takunori Tsukui
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Masashi Hatori
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Yusuke Watanabe
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Kei Yamamoto
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Masaru Seguchi
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Hiroshi Wada
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
| | - Hideo Fujita
- Division of Cardiovascular Medicine, Saitama Medical Center, Jichi Medical University, Japan
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Liu Y, Zhao Y, Guo Z, Zhang Y, Miao C, Gu Y. A novel predictive model based on pericarotid adipose tissue and lumen stenosis for stroke risk in patients with asymptomatic carotid stenosis. J Investig Med 2024; 72:270-278. [PMID: 38183206 DOI: 10.1177/10815589241226728] [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: 01/07/2024]
Abstract
The study aimed to investigate the predictive value of clinical characteristics, major computed tomography angiography (CTA) indexes of carotid AS (carotid lumen stenosis and plaque burden), and inflammatory pericarotid adipose tissue for acute stroke risk in patients with a moderate or higher degree of carotid stenosis. In all, 119 patients with unilateral carotid stenosis who underwent head and neck computed tomography angiography were included and assigned to the stroke group or non-stroke group according to magnetic resonance imaging. Pericarotid adipose tissue attenuation value, net enhancement value in the base phase and the enhancement phase, and atherosclerotic features (plaque burden and lumen stenosis) were recorded. Multivariate logistic regression analysis and the operating characteristic curve (ROC) were performed to establish a predictive model for the presence of acute ischemic stroke. ROC analysis showed that pericarotid adipose tissue attenuation value and lumen stenosis were predictive factors for stroke. The AUC of pericarotid adipose tissue attenuation (PCAT) attenuation, lumen stenosis, the novel prediction model independently constructed based on PCAT attenuation, and lumen stenosis resulted in 0.838 (95% CI 0.759-0.899), 0.700 (95% CI 0.826-0.944), and 0.942 (95% CI 0.884-0.977), respectively. The model had a sensitivity and specificity of 0.909 and 0.893, respectively, when the cutoff value was 0.388. We found that the risk model combining pericarotid adipose tissue attenuation value and lumen stenosis has significant predictive values for the presence of symptomatic stroke among patients with a moderate or higher degree of carotid stenosis.
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Affiliation(s)
- Ying Liu
- Department of Radiology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, P. R. China
| | - Yinan Zhao
- Department of Radiology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, P. R. China
| | - Zhongping Guo
- Department of Radiology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, P. R. China
| | - Yonggang Zhang
- Department of Radiology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, P. R. China
| | - Chongchang Miao
- Department of Radiology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, P. R. China
| | - Yan Gu
- Department of Radiology, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, Jiangsu, P. R. China
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Guldbrand C, Barregard L, Sallsten G, Forsgard N, Lundh T, Borné Y, Fagerberg B, Engström G, Bergström G, Harari F. Low-level exposure to lead and atherosclerosis in the carotid arteries: Results from the Swedish population-based cohort SCAPIS. ENVIRONMENTAL RESEARCH 2024; 244:117900. [PMID: 38092241 DOI: 10.1016/j.envres.2023.117900] [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: 09/06/2023] [Revised: 11/20/2023] [Accepted: 12/07/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Lead exposure is associated with cardiovascular disease. Atherosclerosis has been hypothesized to be one of the underlying mechanisms behind this association. AIM To investigate whether lead exposure is associated with an increased risk of atherosclerosis in the carotid arteries in a large Swedish population-based cohort. METHODS We performed a cross-sectional study using data from the population-based Swedish CardioPulmonary bioImage Study (SCAPIS), including 5622 middle-aged men and women, enrolled 2013-2018. Blood lead (B-Pb), measured by inductively coupled plasma mass spectrometry, was used as exposure biomarker. The presence of atherosclerotic plaque in the carotid arteries (yes/no), total plaque area (mm2) and the presence of large plaques (>25 mm2) were determined by ultrasonography. Associations between B-Pb and the different outcomes were analysed using Poisson and linear regression models, adjusted for potential confounders. RESULTS Atherosclerotic plaque was present in 57% of the individuals, for whom the median total plaque area was 16 mm2 (range: 0.2-222). The median B-Pb concentration was 14 μg/L (range: 0.75-203). After adjusting for potential confounders, individuals in the fourth quartile of B-Pb (Q4) had a prevalence ratio (PR) for plaque of 1.08 (95% CI: 1.01, 1.16) when compared with the first quartile (Q1). A 10 μg/L increase in B-Pb concentrations was associated with an increase of 0.92 mm2 (95% CI: 0.14, 1.71) in total plaque area. The PR for large plaque was 1.09 (95% CI: 0.84, 1.42 for Q4 vs Q1). CONCLUSIONS This study shows an association between B-Pb and atherosclerosis in the carotid arteries providing some support for the hypothesis that atherosclerosis is one of the mechanisms underlying the association between lead exposure and cardiovascular disease.
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Affiliation(s)
- Carl Guldbrand
- Occupational and Environmental Medicine, Sahlgrenska University Hospital and University of Gothenburg, Gothenburg, Sweden
| | - Lars Barregard
- Occupational and Environmental Medicine, Sahlgrenska University Hospital and University of Gothenburg, Gothenburg, Sweden
| | - Gerd Sallsten
- Occupational and Environmental Medicine, Sahlgrenska University Hospital and University of Gothenburg, Gothenburg, Sweden
| | - Niklas Forsgard
- Department of Clinical Chemistry, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Thomas Lundh
- Division of Occupational and Environmental Medicine, Department of Laboratory Medicine, Lund University, Sweden
| | - Yan Borné
- Department of Clinical Sciences in Malmö, Lund University, Sweden
| | - Björn Fagerberg
- Department of Molecular and Clinical Medicine, Wallenberg Laboratory for Cardiovascular and Metabolic Research, University of Gothenburg and Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Gunnar Engström
- Department of Clinical Sciences in Malmö, Lund University, Sweden
| | - Göran Bergström
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Department of Clinical Physiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Florencia Harari
- Occupational and Environmental Medicine, Sahlgrenska University Hospital and University of Gothenburg, Gothenburg, Sweden.
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Ding J, Zhou R, Fang X, Wang F, Wang J, Gan H, Fenster A. An image registration-based self-supervised Su-Net for carotid plaque ultrasound image segmentation. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2024; 244:107957. [PMID: 38061113 DOI: 10.1016/j.cmpb.2023.107957] [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: 12/12/2022] [Revised: 11/17/2023] [Accepted: 11/27/2023] [Indexed: 01/26/2024]
Abstract
BACKGROUND AND OBJECTIVES Total Plaque Area (TPA) measurement is critical for early diagnosis and intervention of carotid atherosclerosis in individuals with high risk for stroke. The delineation of the carotid plaques is necessary for TPA measurement, and deep learning methods can automatically segment the plaque and measure TPA from carotid ultrasound images. A large number of labeled images is essential for training a good deep learning model, but it is very difficult to collect such large labeled datasets for carotid image segmentation in clinical practice. Self-supervised learning can provide a possible solution to improve the deep-learning models on small labeled training datasets by designing a pretext task to pre-train the models without using the segmentation masks. However, the existing self-supervised learning methods do not consider the feature presentations of object contours. METHODS In this paper, we propose an image registration-based self-supervised learning method and a stacked U-Net (SSL-SU-Net) for carotid plaque ultrasound image segmentation, which can better exploit the semantic features of carotid plaque contours in self-supervised task training. RESULTS Our network was trained on different numbers of labeled images (n = 10, 33, 50 and 100 subjects) and tested on 44 subjects from the SPARC dataset (n = 144, London, Canada). The network trained on the entire SPARC dataset was then directly applied to an independent dataset collected in Zhongnan hospital (n = 497, Wuhan, China). For the 44 subjects tested on the SPARC dataset, our method yielded a DSC of 80.25-89.18% and the produced TPA measurements, which were strongly correlated with manual segmentation (r = 0.965-0.995, ρ< 0.0001). For the Zhongnan dataset, the DSC was 90.3% and algorithm TPAs were strongly correlated with manual TPAs (r = 0.985, ρ< 0.0001). CONCLUSIONS The results demonstrate that our proposed method yielded excellent performance and good generalization ability when trained on a small labeled dataset, facilitating the use of deep learning in carotid ultrasound image analysis and clinical practice. The code of our algorithm is available https://github.com/a610lab/Registration-SSL.
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Affiliation(s)
- Jing Ding
- School of Computer Science, Hubei University of Technology, Wuhan, Hubei 430068, China
| | - Ran Zhou
- School of Computer Science, Hubei University of Technology, Wuhan, Hubei 430068, China.
| | - Xiaoyue Fang
- School of Computer Science, Hubei University of Technology, Wuhan, Hubei 430068, China
| | - Furong Wang
- Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China
| | - Ji Wang
- School of Computer Science, Hubei University of Technology, Wuhan, Hubei 430068, China
| | - Haitao Gan
- School of Computer Science, Hubei University of Technology, Wuhan, Hubei 430068, China.
| | - Aaron Fenster
- Imaging Research Laboratories, Robarts Research Institute, Western University, London N6A 5K8, Ontario, Canada
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11
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Austad G, Geitung JT, Tonstad S. Validation and Reproducibility of Total Plaque Thickness in Carotid and Femoral Arteries Using Ultrasound. ULTRASOUND IN MEDICINE & BIOLOGY 2024; 50:207-215. [PMID: 37940460 DOI: 10.1016/j.ultrasmedbio.2023.09.020] [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: 05/03/2023] [Revised: 09/27/2023] [Accepted: 09/28/2023] [Indexed: 11/10/2023]
Abstract
OBJECTIVE Plaque burden quantification by ultrasound improves cardiovascular (CV) risk prediction. However, measuring total plaque volume (TPV) with 3-D ultrasound, the current gold standard, is time consuming. In the present study we investigated the reproducibility of weighted total plaque thickness (wTPT) measured by 2-D ultrasound and its correlation with TPV. METHODS Participants in an ongoing study of subclinical atherosclerosis and CV risk with no known atherosclerotic CV disease but who were found to have one or more plaques in carotid or femoral arteries by 2-D ultrasound were included. A total of 34 women and 26 men (mean age: 59.4 y, standard deviation: 8.7) underwent primary 2-D and 3-D ultrasound examinations. Participants then underwent a 2-D ultrasound examination by another radiologist blinded to the first radiologist's findings. Finally, all participants underwent a follow-up 2-D ultrasound by the first radiologist. RESULTS Comparison of wTPT measurements between the 2-D studies revealed no significant difference (mean difference: 0.29 mm, 95% confidence interval [CI]: -0.48 to 1.17). Inter-observer and intra-observer analyses revealed intraclass correlation coefficients of 0.97 (95% CI: 0.96-0.98) and 1.0 (95% CI: 0.99-1.00), respectively. wTPT correlated with TPV (Spearman's ρ = 0.98, 95% CI: 0.96-0.99). Elapsed time for assessing wTPT was less than that for TPV (mean difference: 36.1 min, 95% CI: 26.0-46.3). CONCLUSION wTPT had high reproducibility and correlation with TPV while requiring substantially less time. Future studies addressing the role of wTPT in predicting CV disease are needed.
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Affiliation(s)
- Gunnar Austad
- Department of Preventive Cardiology, Oslo University Hospital, Oslo, Norway.
| | - Jonn Terje Geitung
- Department of Radiology and Nuclear Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Serena Tonstad
- Department of Preventive Cardiology, Oslo University Hospital, Oslo, Norway
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12
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Adams A, Bojara W, Romanens M. [Ultrasound examination of the carotid artery for improved prediction of cardiovascular events and the effect of statin treatment in advanced atherosclerosis : An observational study]. Herz 2024; 49:60-68. [PMID: 37402837 DOI: 10.1007/s00059-023-05197-z] [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] [Received: 03/25/2023] [Revised: 05/23/2023] [Accepted: 06/01/2023] [Indexed: 07/06/2023]
Abstract
BACKGROUND Advanced atherosclerosis of the carotid artery is associated with a high risk of cardiovascular diseases. It was investigated whether ultrasound provides a better prediction of cardiovascular events compared to the prospective cardiovascular Münster study (PROCAM) score and whether treatment of subjects with advanced atherosclerosis with statins improves the prognosis. METHOD Between 2009 and 2016 a total of 4482 subjects (41% women) aged 35-65 years with no signs of cardiovascular disease underwent carotid artery ultrasound examination. Total plaque area (TPA) and maximum plaque thickness were measured. The PROCAM score was used to determine the cardiovascular risk. RESULTS The median follow-up time was 77 months (6.4 years) for the men and 74 months (6.2 years) for the women. Events, such as myocardial infarction, ischemic stroke, coronary artery bypass grafting (CABG) and percutaneous transluminal coronary angioplasty (PTCA), occurred in 131 (3.4%) of the 3833 subjects with complete follow-up data. The prediction of cardiovascular events was better with ultrasound than with the PROCAM score. Ultrasound predicted 79.4% of 131 events and the PROCAM score predicted 22.9%. Treatment of subjects with advanced atherosclerosis (types III, IV b) with a statin significantly improved the prognosis. The event rate was 12.6% in men and women in the treated group vs. 31.5% (p < 0.0001) in the untreated group. Mortality (from any cause) was significantly lower in men treated with statins (p = 0.0148). CONCLUSION The prediction of cardiovascular events was better with plaque burden measurements than with the PROCAM score. Treatment with statins in subjects with advanced carotid atherosclerosis (types III-IV b findings on ultrasound) significantly improved the prognosis in a nonrandomized observational study.
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Affiliation(s)
- Ansgar Adams
- BAD Gesundheitsvorsorge und Sicherheitstechnik GmbH, Zentrum Koblenz, Koblenz, Deutschland.
- BAD Gesundheitsvorsorge und Sicherheitstechnik GmbH, Zentrum Koblenz, Bubenheimer Bann 4, 56070, Koblenz, Deutschland.
| | - Waldemar Bojara
- Innere Medizin - Kardiologie, Gemeinschaftsklinikum Mittelrhein gGmbH, Standort Kemperhof, Koblenz, Deutschland
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Fu J, Deng Y, Ma Y, Man S, Yang X, Yu C, Lv J, Wang B, Li L. National and Provincial-Level Prevalence and Risk Factors of Carotid Atherosclerosis in Chinese Adults. JAMA Netw Open 2024; 7:e2351225. [PMID: 38206625 PMCID: PMC10784858 DOI: 10.1001/jamanetworkopen.2023.51225] [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] [Received: 08/17/2023] [Accepted: 11/21/2023] [Indexed: 01/12/2024] Open
Abstract
Importance Epidemiologic studies on carotid atherosclerosis (CAS) based on nationwide ultrasonography measurements can contribute to understanding the future risk of cardiovascular diseases and identifying high-risk populations, thereby proposing more targeted prevention and treatment measures. Objectives To estimate the prevalence of CAS within the general population of China and to investigate its distribution among populations with potential risk factors and variation across diverse geographic regions. Design, Setting, and Participants This multicenter, population-based cross-sectional study used China's largest health check-up chain database to study 10 733 975 individuals aged 20 years or older from all 31 provinces in China who underwent check-ups from January 1, 2017, to June 30, 2022. Main Outcomes and Measures Carotid atherosclerosis was assessed and graded using ultrasonography as increased carotid intima-media thickness (cIMT), carotid plaque (CP), and carotid stenosis (CS). The overall and stratified prevalences were estimated among the general population and various subpopulations based on demographic characteristics, geographic regions, and cardiovascular disease risk factors. Mixed-effects regression models were used to analyze the risk factors for CAS. Results Among 10 733 975 Chinese participants (mean [SD] age, 47.7 [13.4] years; 5 861 566 [54.6%] male), the estimated prevalences were 26.2% (95% CI, 25.0%-27.4%) for increased cIMT, 21.0% (95% CI, 19.8%-22.2%) for CP, and 0.56% (95% CI, 0.36%-0.76%) for CS. The prevalence of all CAS grades was higher among older adults (eg, increased cIMT: aged ≥80 years, 92.7%; 95% CI, 92.2%-93.3%), male participants (29.6%; 95% CI, 28.4%-30.7%), those residing in northern China (31.0%; 95% CI, 29.1%-32.9%), and those who had comorbid conditions, such as hypertension (50.8%; 95% CI, 49.7%-51.9%), diabetes (59.0%; 95% CI, 57.8%-60.1%), dyslipidemia (32.1%; 95% CI, 30.8%-33.3%), and metabolic syndrome (31.0%; 95% CI, 29.1%-32.9%). Most cardiovascular disease risk factors were independent risk factors for all CAS stages (eg, hypertension: 1.60 [95% CI, 1.60-1.61] for increased cIMT, 1.62 [95% CI, 1.62-1.63] for CP, and 1.48 [95% CI, 1.45-1.51] for CS). Moreover, the magnitude of the association between several cardiovascular disease risk factors and increased cIMT and CP differed between the sexes and geographic regions. Conclusions and Relevance These findings suggest that nearly one-quarter of Chinese adults have increased cIMT or CP. The burden of this disease is unevenly distributed across geographic regions and subpopulations and may require different levels of local planning, support, and management. Addressing these disparities is crucial for effectively preventing and managing cardiovascular and cerebrovascular diseases in China.
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Affiliation(s)
- Jingzhu Fu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Meinian Public Health Institute, Peking University Health Science Center, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yuhan Deng
- Meinian Institute of Health, Beijing, China
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China
- Chongqing Research Institute of Big Data, Peking University, Chongqing, China
| | - Yuan Ma
- Meinian Institute of Health, Beijing, China
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Sailimai Man
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Meinian Public Health Institute, Peking University Health Science Center, Beijing, China
- Meinian Institute of Health, Beijing, China
| | - Xiaochen Yang
- Meinian Institute of Health, Beijing, China
- Department of Social Medicine and Health Education, School of Public Health, Peking University, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Meinian Public Health Institute, Peking University Health Science Center, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Meinian Public Health Institute, Peking University Health Science Center, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Bo Wang
- Meinian Public Health Institute, Peking University Health Science Center, Beijing, China
- Meinian Institute of Health, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Meinian Public Health Institute, Peking University Health Science Center, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
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Teramoto M, Kokubo Y, Arafa A, Kashima R, Nakao YM, Sheerah HA, Kataoka H. Common Carotid Artery Stenosis Degree as a Predictor of Cardiovascular Disease in a General Population: The Suita Study. J Am Heart Assoc 2024; 13:e030828. [PMID: 38116928 PMCID: PMC10863812 DOI: 10.1161/jaha.123.030828] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 10/31/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND The utility of screening for the degree of common carotid artery (CCA) stenosis as a predictor of cardiovascular disease (CVD) in a general population remains unclear. METHODS AND RESULTS We studied 4775 Japanese men and women whose CCA was measured using bilateral carotid ultrasonography at baseline (April 1994-August 2001). We calculated the degree of stenosis as a percentage of the stenotic area of the lumen in the cross-section perpendicular to the long axis. The Cox proportional hazards model was used to calculate multivariable-adjusted hazard ratios (HRs) with 95% CIs for incident CVD and its subtypes according to the degree of CCA stenosis. During the median 14.2 years of follow-up, 385 incident CVD events (159 coronary heart disease and 226 stroke) were documented. The degree of CCA stenosis was associated with increased risks of incident CVD, coronary heart disease, and stroke, with multivariable-adjusted HRs (95% CIs) for <25%, 25%-49%, and ≥50% stenosis with plaque compared with no CCA plaque of 1.37 (1.07-1.76), 1.72 (1.23-2.40), and 2.49 (1.69-3.67), respectively. Adding the CCA stenosis degree to traditional CVD risk factors increased Harrell's C statistics (0.772 [95% CI, 0.751-0.794] to 0.778 [95% CI, 0.758-0.799]; P=0.04) and improved the 10-year risk prediction ability (integrated discrimination improvement, 0.0129 [95% CI, 0.0078-0.0179]; P<0.001; continuous net reclassification improvement, 0.1598 [95% CI, 0.0297-0.2881]; P=0.01). CONCLUSIONS The degree of CCA stenosis may be used as a predictive marker for the development of CVD in the general population.
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Affiliation(s)
- Masayuki Teramoto
- Department of Preventive CardiologyNational Cerebral and Cardiovascular CenterSuitaJapan
| | - Yoshihiro Kokubo
- Department of Preventive CardiologyNational Cerebral and Cardiovascular CenterSuitaJapan
| | - Ahmed Arafa
- Department of Preventive CardiologyNational Cerebral and Cardiovascular CenterSuitaJapan
- Department of Public Health, Faculty of MedicineBeni‐Suef UniversityBeni‐SuefEgypt
| | - Rena Kashima
- Department of Preventive CardiologyNational Cerebral and Cardiovascular CenterSuitaJapan
- Department of Cardiovascular Pathophysiology and Therapeutics, Graduate School of MedicineOsaka UniversitySuitaJapan
| | - Yoko M. Nakao
- Leeds Institute of Cardiovascular and Metabolic MedicineUniversity of LeedsLeedsUnited Kingdom
| | - Haytham A. Sheerah
- Department of Preventive CardiologyNational Cerebral and Cardiovascular CenterSuitaJapan
| | - Hiroharu Kataoka
- Department of NeurosurgeryNational Cerebral and Cardiovascular CenterSuitaJapan
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Boccalini S, Teulade M, Paquet E, Si-Mohamed S, Rapallo F, Moreau-Triby C, Charrière S, Mewton N, Boussel L, Bergerot C, Douek P, Moulin P. Silent myocardial infarction fatty scars detected by coronary calcium score CT scan in diabetic patients without history of coronary heart disease. Eur Radiol 2024; 34:214-225. [PMID: 37530810 DOI: 10.1007/s00330-023-09940-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 05/14/2023] [Accepted: 05/16/2023] [Indexed: 08/03/2023]
Abstract
OBJECTIVES To evaluate the prevalence of intra-myocardial fatty scars (IMFS) most likely indicating previous silent myocardial infarction (SMI), as detected on coronary artery calcium (CAC) computed tomography (CT) scans in diabetic patients without history of coronary heart disease (CHD). METHODS Diabetic patients screened for silent coronary insufficiency in a tertiary-care, university hospital between Jan-2015 and Dec-2016 were categorized according to their CAC score in two groups comprising 242 patients with CACS = 0 and 145 patients with CACS ≥ 300. CAC-CT scans were retrospectively evaluated for subendorcardial and transmural IMFS of the left ventricle. Adipose remodeling, patients' characteristics, cardiovascular risk factors and metabolic profile were compared between groups. RESULTS Eighty-three (21%) patients with IMFS were identified, 55 (37.9%) in the group CACS ≥ 300 and 28 (11.6%) in the CACS = 0 (OR = 4.67; 95% CI = 2.78-7.84; p < 0.001). Total and average surface of IMFS and their number per patient were similar in both groups (p = 0.55; p = 0.29; p = 0.61, respectively). In the group CACS ≥ 300, patients with IMFS were older (p = 0.03) and had longer-lasting diabetes (p = 0.04). Patients with IMFS were older and had longer history of diabetes, reduced glomerular filtration rate, more coronary calcifications (all p < 0.05), and higher prevalence of carotid plaques (OR = 3.03; 95% CI = 1.43-6.39, p = 0.004). After correction for other variables, only a CACS ≥ 300 (OR = 5.12; 95% CI = 2.66-9.85; p < 0.001) was associated with an increased risk of having IMFS. CONCLUSIONS In diabetic patients without known CHD, IMFSs were found in patients without coronary calcifications, although not as frequently as in patients with heavily calcified coronary arteries. It remains to be established if this marker translates in an upwards cardiovascular risk restratification especially in diabetic patients with CACS = 0. CLINICAL RELEVANCE STATEMENT In diabetic patients without history of coronary heart disease, intramyocardial fatty scars, presumably of post-infarction origin, can be detected on coronary artery calcium CT scans more frequently, but not exclusively, if the coronary arteries are heavily calcified as compared to those without calcifications. KEY POINTS • Intramyocardial fatty scars (IMFS), presumably of post-infarction origin, can be detected on coronary artery calcium (CAC) CT scans more frequently, but not exclusively, in diabetic patients with CACS ≥ 300 as compared to patients CACS = 0. • Patients with IMFS were older and had longer history of diabetes, reduced glomerular filtration rate, and more coronary calcifications. • Carotid plaques and CACS ≥ 300 were associated with an increased risk of having IMFS, about three and five folds respectively.
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Affiliation(s)
- Sara Boccalini
- Department of Cardiovascular Radiology, Hôpital Pradel, Hospices Civils de Lyon, Lyon, France.
- University Claude Bernard Lyon 1, Lyon, France.
| | - Marie Teulade
- University Claude Bernard Lyon 1, Lyon, France
- Department of Endocrinology Louis Pradel University Hospital, Hospices Civils de Lyon, INSERM UMR 1060, Carmen, Lyon, France
| | - Emilie Paquet
- Department of Nuclear Medicine, Hôpital Louis Pradel, Hospices Civils de Lyon, Lyon, France
| | - Salim Si-Mohamed
- Department of Cardiovascular Radiology, Hôpital Pradel, Hospices Civils de Lyon, Lyon, France
- University Claude Bernard Lyon 1, Lyon, France
| | - Fabio Rapallo
- Department of Economics, University of Genova, Genoa, Italy
| | - Caroline Moreau-Triby
- Department of Nuclear Medicine, Hôpital Louis Pradel, Hospices Civils de Lyon, Lyon, France
| | - Sybil Charrière
- University Claude Bernard Lyon 1, Lyon, France
- Department of Endocrinology Louis Pradel University Hospital, Hospices Civils de Lyon, INSERM UMR 1060, Carmen, Lyon, France
| | - Nathan Mewton
- University Claude Bernard Lyon 1, Lyon, France
- Department of Cardiology, Hôpital Louis Pradel, Hospices Civils de Lyon, Lyon, France
| | - Loic Boussel
- Department of Radiology, Hôpital de la Croix Rousse, Hospices Civils de Lyon, Lyon, France
| | - Cyrille Bergerot
- Department of Cardiology, Hôpital Louis Pradel, Hospices Civils de Lyon, Lyon, France
| | - Philippe Douek
- Department of Cardiovascular Radiology, Hôpital Pradel, Hospices Civils de Lyon, Lyon, France
- University Claude Bernard Lyon 1, Lyon, France
| | - Philippe Moulin
- University Claude Bernard Lyon 1, Lyon, France
- Department of Endocrinology Louis Pradel University Hospital, Hospices Civils de Lyon, INSERM UMR 1060, Carmen, Lyon, France
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Sebastian SA, Co EL, Tidd-Johnson A, Chowdhury S, Jain E, Davidson M, Johal G. Usefulness of Carotid Ultrasound Screening in Primary Cardiovascular Prevention: A Systematic Review. Curr Probl Cardiol 2024; 49:102147. [PMID: 37863454 DOI: 10.1016/j.cpcardiol.2023.102147] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 10/14/2023] [Indexed: 10/22/2023]
Abstract
BACKGROUND Cardiovascular disease (CVD) is the leading cause of morbidity and mortality worldwide, and its prevention is more cost-effective than the treatment of its complications. Although cardiovascular (CV) risk assessment based on conventional risk factors is the general recommendation, a significant percentage of the population, irrespective of these risk factors, present with subclinical atherosclerosis during carotid Doppler ultrasound (US) imaging. Subclinical atherosclerotic lesions at the carotid bifurcations may be related to the incidence of future CV events and occult atherosclerotic coronary disease. Such patients might benefit from preventive measures if the carotid Doppler US is allowed as a screening tool to detect the extent of carotid stenosis. We aimed to conduct a comprehensive and systematic evaluation of the impact of carotid US screening on CV risk stratification. METHODS We searched PubMed, Scopus, and ScienceDirect from inception until July 2023. We included literature that examined the impact of carotid US screening on cardiovascular risk factor (CVRF) prevention, CV events, and mortality in adults of all age groups free of symptomatic carotid artery disease. RESULTS We identified 2 randomized controlled trials (RCTs) and 9 observational studies, including 21,046 participants. The mean age of the participants was 49, and 53% were female. Two RCTs, with 7,064 participants, examined the impact of pictorial knowledge about subclinical carotid atherosclerosis using carotid US versus traditional CVD risk evaluation without any US evidence in primary cardiovascular prevention. Both studies reported remarkable improvement in medication adherence at 1 to 3-year follow-up after carotid US screening with a decrease in Framingham risk score (FRS). Nine observational studies with 13, 982 participants analyzed the evidence of atherosclerosis on carotid US screening and demonstrated that it is a beneficial tool in the early identification of subclinical atherosclerosis and effective therapeutic intervention. CONCLUSION This systematic review found that pictorial presentation of silent atherosclerosis using carotid US screening has a contributory role in CV risk stratification and prevention of CVD.
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Affiliation(s)
| | - Edzel Lorraine Co
- Department of Internal Medicine, University of Santo Tomas Faculty of Medicine and Surgery, Manila, Philippines
| | | | - Selia Chowdhury
- Department of Medicine, Dhaka Medical College, Dhaka, Bangladesh
| | - Esha Jain
- Department of Family Medicine, Cooper University Hospital, Camden, NJ, USA
| | | | - Gurpreet Johal
- Department of Cardiology, University of Washington, Valley Medical Center, Seattle, USA
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17
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Li L, Tian X, Gao Y, Gu Y, Zhang K, Li L, Wang H, He W. Serum uric acid predicts the development of atherosclerosis in women but not in men: A ten-year cohort study in China. Nutr Metab Cardiovasc Dis 2024; 34:198-205. [PMID: 38057200 DOI: 10.1016/j.numecd.2023.10.005] [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: 04/24/2023] [Revised: 09/20/2023] [Accepted: 10/03/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND AND AIM Atherosclerosis is becoming a significant health burden. Serum uric acid (SUA) is the final enzymatic product of purine metabolism and can contribute to the development of atherosclerosis. The aim of this study was to explore the possible predictive value of SUA in the development of atherosclerosis in a healthy Chinese population. METHODS AND RESULTS In this study, a total of 11,222 healthy subjects with no carotid plaque at baseline were enrolled and divided into sex-specific groups, and then the occurrence of carotid plaque during the follow-up time was documented. The association between carotid plaque and SUA levels was examined using Cox proportional-hazards regression models. The mean SUA level was 5.35 ± 1.41 mg/dL. A total of 2,911 individuals (25.94%) developed carotid plaque during the follow-up time, including 1,071 females and 1,840 males. After adjusting for potential confounding factors, the hazard ratio (HR) and 95% confidence interval (95% CI) in women for the occurrence of carotid plaque associated with SUA levels were 1.163 (1.017-1.330), but no significant correlation was found in men, as the HR was 1.050 (0.965-1.143). CONCLUSION Our results indicate that SUA levels predict the development of carotid plaque independent of traditional risk factors only in women.
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Affiliation(s)
- Lin Li
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei, China; Hebei Key Laboratory of Cerebral Network and Cognitive Disorders, Shijiazhuang, Hebei, China
| | - Xiaochao Tian
- Department of Cardiology, Second Hospital of Hebei Medical University, Shijiazhuang, China
| | - Yaran Gao
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei, China; Hebei Key Laboratory of Cerebral Network and Cognitive Disorders, Shijiazhuang, Hebei, China
| | - Yongsheng Gu
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei, China; Hebei Key Laboratory of Cerebral Network and Cognitive Disorders, Shijiazhuang, Hebei, China
| | - Kaihua Zhang
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei, China; Hebei Key Laboratory of Cerebral Network and Cognitive Disorders, Shijiazhuang, Hebei, China
| | - Litao Li
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei, China; Hebei Key Laboratory of Cerebral Network and Cognitive Disorders, Shijiazhuang, Hebei, China
| | - Hebo Wang
- Department of Neurology, Hebei General Hospital, Shijiazhuang, Hebei, China; Hebei Key Laboratory of Cerebral Network and Cognitive Disorders, Shijiazhuang, Hebei, China.
| | - Weiliang He
- Department of Neurology, Heyuan People's Hospital, Guangdong Provincial People's Hospital Heyuan Hospital, Heyuan, China; Heyuan Key Laboratory of Molecular Diagnosis & Disease Prevention and Treatment, Doctors Station of Guangdong Province, Heyuan People's Hospital, Heyuan, Guangdong, 517000, China.
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18
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Ling Y, Wan Y, Barinas‐Mitchell E, Fujiyoshi A, Cui H, Maimaiti A, Xu R, Li J, Suo C, Zaid M. Varying Definitions of Carotid Intima-Media Thickness and Future Cardiovascular Disease: A Systematic Review and Meta-Analysis. J Am Heart Assoc 2023; 12:e031217. [PMID: 38014663 PMCID: PMC10727343 DOI: 10.1161/jaha.123.031217] [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: 05/31/2023] [Accepted: 11/01/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND Carotid intima-media thickness (cIMT) has been widely used as a predictor of future cardiovascular disease (CVD); however, various definitions of cIMT exist. This study provides a systematic review and meta-analysis of the associations between different cIMT definitions and CVD. METHODS AND RESULTS A systematic review of the different cIMT definitions used in prospective cohort studies was performed. The relationships between cIMT of different definitions (common carotid artery IMT [CCA-IMT], internal carotid artery IMT [ICA-IMT], combined segments [combined-IMT], mean CCA-IMT, and maximum CCA-IMT) with future stroke, myocardial infarction (MI), and CVD events were analyzed using random effects models. Among 2287 articles, 18 articles (14 studies) with >10 different cIMT definitions were identified and included in our meta-analysis. After adjusting for age and sex, a 1-SD increase in CCA-IMT was associated with future stroke (hazard ratio [HR], 1.32 [95% CI, 1.27-1.38]), MI (HR, 1.27 [95% CI, 1.22-1.33]), and CVD events (HR, 1.28 [95% CI, 1.19-1.37]). A 1-SD increase in ICA-IMT was related to future stroke (HR, 1.25 [95% CI, 1.11-1.42]) and CVD events (HR, 1.25 [95% CI, 1.04-1.50]) but not MI (HR, 1.26 [95% CI, 0.98-1.61]). A 1-SD increase in combined-IMT was associated with future stroke (HR, 1.30 [95% CI, 1.08-1.57]) and CVD events (HR, 1.36 [95% CI, 1.23-1.49]). Maximum CCA-IMT was more strongly related than mean CCA-IMT with risk of MI, and both measures were similarly associated with stroke and CVD events. CONCLUSIONS Combined-IMT is more strongly associated with CVD events compared with single-segment cIMT definitions. Maximum CCA-IMT shows a stronger association with MI than mean CCA-IMT. Further research is warranted to validate our findings and to standardize the cIMT measurement protocol, as well as to explore underlying mechanisms.
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Affiliation(s)
- Yong Ling
- Department of EpidemiologyFudan UniversityShanghaiChina
| | - Yiming Wan
- Department of EpidemiologyFudan UniversityShanghaiChina
| | | | - Akira Fujiyoshi
- Department of HygieneWakayama Medical UniversityWakayamaJapan
| | - Hui Cui
- Department of EpidemiologyFudan UniversityShanghaiChina
| | | | - Rong Xu
- Department of EpidemiologyFudan UniversityShanghaiChina
| | - Jing Li
- Songjiang District Zhongshan Street Community Healthcare CenterShanghaiChina
| | - Chen Suo
- Department of EpidemiologyFudan UniversityShanghaiChina
| | - Maryam Zaid
- Department of EpidemiologyFudan UniversityShanghaiChina
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19
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Corral P, Aguilar Salinas CA, Matta MG, Zago V, Schreier L. Stratification in Heterozygous Familial Hypercholesterolemia: Imaging, Biomarkers, and Genetic Testing. Curr Atheroscler Rep 2023; 25:899-909. [PMID: 37921916 DOI: 10.1007/s11883-023-01160-9] [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] [Accepted: 10/19/2023] [Indexed: 11/05/2023]
Abstract
PURPOSE OF REVIEW Heterozygous familial hypercholesterolemia (HeFH) is the most common monogenic autosomal dominant disorder. However, the condition is often underdiagnosed and undertreated. The objective of this review is to provide an update on the risk stratification in patients with HeFH, incorporating new cardiovascular imaging techniques, various biomarkers, and genetic studies. RECENT FINDINGS The diagnosis of HeFH places patients in a high cardiovascular risk category due to the increased incidence of premature atherosclerotic cardiovascular disease. However, the level of risk varies significantly among different individuals with HeFH. Achieving an optimal stratification of cardiovascular risk is crucial for establishing appropriate and accurate treatment and management strategies. Different new tools such as risk scores have emerged in recent years, aiding physicians in assessing the risk stratification for HeFH using imaging, biomarkers, and genetics. This review emphasizes that not all patients with HeFH face the same cardiovascular risk. By utilizing different assessment tools, we can identify those who require more intensive monitoring, follow-up, and treatment.
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Affiliation(s)
- Pablo Corral
- Universidad FASTA, Facultad de Medicina, Cátedra de Farmacología Especial y Toxicología, Mar del Plata, Argentina.
| | - Carlos A Aguilar Salinas
- Direction of Nutrition Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
- Tecnológico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Monterrey, México
- Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Beirut, Lebanon
| | - María Gabriela Matta
- Universidad FASTA, Facultad de Medicina, Cátedra de Farmacología Especial y Toxicología, Mar del Plata, Argentina
| | - Valeria Zago
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Lab. de Lípidos y Aterosclerosis, Hospital de Clínicas. INFIBIOC-UBA, Buenos Aires, Argentina
| | - Laura Schreier
- Universidad de Buenos Aires, Facultad de Farmacia y Bioquímica, Lab. de Lípidos y Aterosclerosis, Hospital de Clínicas. INFIBIOC-UBA, Buenos Aires, Argentina
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20
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Albricker ACL, Freire CMV, Santos SND, Alcantara MLD, Cantisano AL, Porto CLL, Amaral SID, Veloso OCG, Morais Filho DD, Teodoro JAR, Petisco ACGP, Saleh MH, Barros MVLD, Barros FS, Engelhorn ALDV, Engelhorn CA, Nardino ÉP, Silva MADM, Biagioni LC, Souza AJD, Sarpe AKP, Oliveira ACD, Moraes MRDS, Francisco Neto MJ, Françolin PC, Rochitte CE, Iquizli R, Santos AASMDD, Muglia VF, Naves BDL. Recommendation Update for Vascular Ultrasound Evaluation of Carotid and Vertebral Artery Disease: DIC, CBR and SABCV - 2023. Arq Bras Cardiol 2023; 120:e20230695. [PMID: 37991060 DOI: 10.36660/abc.20230695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2023] Open
Affiliation(s)
- Ana Cristina Lopes Albricker
- Centro Universitário de Belo Horizonte (UniBH), Belo Horizonte, MG - Brasil
- IMEDE - Instituto Mineiro de Ultrassonografia, Belo Horizonte, MG - Brasil
| | - Claudia Maria Vilas Freire
- Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, MG - Brasil
- Empresa Brasileira de Serviços Hospitalares (UBSERH), Brasília, DF - Brasil
| | | | | | | | | | | | - Orlando Carlos Glória Veloso
- Rede UnitedHealth Group (UHG), Rio de Janeiro, RJ - Brasil
- Hospital Pasteur, Rio de Janeiro, RJ - Brasil
- Hospital Américas, Rio de Janeiro, RJ - Brasil
- Hospital de Clínicas Mário Lioni, Rio de Janeiro, RJ - Brasil
| | | | | | | | | | | | | | | | | | - Érica Patrício Nardino
- Faculdade de Medicina do ABC Paulista, SP - Brasil
- Faculdade de Medicina Unoeste, Guarujá, SP - Brasil
| | | | | | | | | | | | | | | | - Peter Célio Françolin
- Instituto do Coração (InCor) da Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP - Brasil
| | - Carlos Eduardo Rochitte
- Instituto do Coração (InCor) da Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP - Brasil
- Hospital do Coração (Hcor), São Paulo, SP - Brasil
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21
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Lind L. A comparison of intima media thickness in the common carotid artery, the bulb and plaque area as predictions of incident atherosclerotic events. PLoS One 2023; 18:e0294722. [PMID: 37983212 PMCID: PMC10659152 DOI: 10.1371/journal.pone.0294722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 11/06/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND AND AIMS There is a debate on how to evaluate carotid artery intima-media thickness (IMT). We here compared IMT of the common carotid artery (CCA) and bulb with plaque area regarding incident atherosclerotic disease. METHODS In the PIVUS study (age 70 at baseline, 53% women, n = 856), IMT-CCA, IMT-bulb and plaque area were measured at ages 70, 75 and 80 years and these three measurements were used in updated Cox proportional hazard analysis. RESULTS Over 15 years follow-up, 135 individuals experienced a first-time atherosclerotic disease (myocardial infarction or ischemic stroke). IMT-CCA was not significantly related to this composite endpoint (p = 0.10). IMT-bulb was significantly related to the endpoint (p = 0.003), but this relationship was attenuated following adjustment for CVD risk factors (p = 0.02). On the contrary, plaque area was consistently related to incident atherosclerotic disease also following adjustment for CVD risk factors (p<0.001). When added on top of traditional risk factors, both IMT-bulb and plaque area, but not IMT-CCA, improved the discrimination compared to the traditional risk factors (+5.2%, p = 0.0026 for IMT-bulb, +3.8%, p = 0.013 for plaque area and 0.0% for IMT-CCA). CONCLUSION In elderly subjects, both IMT-bulb and plaque area improved the discrimination regarding incident atherosclerotic disease when added to traditional risk factors. This was not seen for IMT-CCA. IMT-CCA was therefore inferior compared to the other two carotid artery ultrasonographic measurements in this sample of elderly subjects.
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Affiliation(s)
- Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
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22
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Salvador D, Liv P, Norberg M, Pahud de Mortanges A, Saner H, Glisic M, Nicoll R, Muka T, Nyman E, Bano A, Näslund U. Changes in fasting plasma glucose and subclinical atherosclerosis: A cohort study from VIPVIZA trial. Atherosclerosis 2023:117326. [PMID: 37932189 DOI: 10.1016/j.atherosclerosis.2023.117326] [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: 05/31/2023] [Revised: 09/29/2023] [Accepted: 10/03/2023] [Indexed: 11/08/2023]
Abstract
BACKGROUND AND AIMS Studies on the influence of fasting plasma glucose (FPG) on the development of carotid plaque (CP) and intima media thickness (CIMT) mainly focused on single FPG measures. We investigated whether changes in FPG (ΔFPG) are associated with incident CP and CIMT change (ΔCIMT) over time. METHODS Analyses were based on information from 1896 participants from the VIPVIZA trial (Visualization of asymptomatic atherosclerotic disease for optimum cardiovascular prevention), with baseline and 3-year follow-up data on FPG, ultrasonographic CP (none or ≥1 lesion/s) and CIMT assessments. We studied the association between baseline FPG (prior to intervention) or 3-year ΔFPG (mmol/L) and incident CP (logistic regression) or ΔCIMT (linear regression). Analyses were adjusted for multiple potential confounders. RESULTS 1896 and 873 individuals, respectively, were included in the analysis on incident CP and ΔCIMT. Participants were 60 years old at baseline and 61% and 54% were females, in the CP and CIMT analyses, respectively. Every mmol/L increase in FPG was associated with an increased odds of incident CP (odds ratio: 1.42, 95% confidence interval [CI]: 1.17, 1.73), but there was no association with ΔCIMT (mean difference: 0.002 mm, 95% CI: -0.003, 0.008) after 3 years. Baseline FPG was not associated with incident CP nor ΔCIMT progression. CONCLUSIONS In middle-aged individuals with low to moderate risk for cardiovascular diseases, 3-year ΔFPG was positively associated with the risk of incident CP, but not with ΔCIMT. Single measures of FPG may not be sufficient in estimating cardiovascular risk among individuals with low to moderate risk.
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Affiliation(s)
- Dante Salvador
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Department of Cardiology, Inselspital, Bern University Hospital, Bern, Switzerland; Graduate School for Health Sciences, University of Bern, Bern, Switzerland
| | - Per Liv
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Margareta Norberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | | | - Hugo Saner
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Marija Glisic
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Swiss Paraplegic Research, Nottwil, Switzerland
| | - Rachel Nicoll
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Taulant Muka
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Epistudia, Bern, Switzerland
| | - Emma Nyman
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Arjola Bano
- Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland; Department of Cardiology, Inselspital, Bern University Hospital, Bern, Switzerland.
| | - Ulf Näslund
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden.
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Sommer P, Schreinlechner M, Noflatscher M, Lener D, Mair F, Theurl M, Kirchmair R, Marschang P. Increasing Soluble P-Selectin Levels Predict Higher Peripheral Atherosclerotic Plaque Progression. J Clin Med 2023; 12:6430. [PMID: 37892568 PMCID: PMC10607706 DOI: 10.3390/jcm12206430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/06/2023] [Accepted: 10/07/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND AND AIMS The adhesion molecule P-selectin is expressed by endothelial cells and platelets. It is involved in platelet activation and leukocyte adhesion, both important processes in the pathogenesis of atherosclerosis. Our study was designed to assess the predictive value of soluble P-selectin (sP-selectin) on the progression of peripheral atherosclerosis. METHODS This is an observational, single-center, cohort study that included 443 patients with established cardiovascular disease (CVD) or at least one cardiovascular risk factor. Over a period of 4 years, each patient underwent three-dimensional (3D) ultrasound to assess the plaque volume of the carotid and femoral arteries once per year. In addition, plasma sP-selectin levels were measured at each visit. The association between changes in sP-selectin and peripheral atherosclerotic plaque progression was assessed using growth curve models. RESULTS 338 patients were available for statistical analysis. Each standard deviation increase in sP-selectin was significantly (p < 0.001) associated with a 46.09 mm3 higher plaque volume. In ROC-analysis, changes in sP-selectin over time showed an optimal cut-off value around Δ 0.0 µg/mL sP-selectin and significantly improved the predictive value of the ESC-SCORE (AUC for the combination of both parameters was 0.75 (95% CI 0.68-0.81, p < 0.001). Patients with increasing sP-selectin showed a significantly higher plaque progression compared to patients with decreasing or stable sP-selectin levels (202 mm3 vs. 110 mm3, p < 0.001). CONCLUSIONS Increasing sP-selectin levels can predict higher atherosclerotic plaque progression as measured by 3D ultrasound. We suggest serial measurements of sP-selectin as an easily measurable biomarker for peripheral atherosclerotic plaque progression.
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Affiliation(s)
- Philip Sommer
- Department of Internal Medicine III (Cardiology, Angiology), Medical University of Innsbruck, Anichstr. 35, A-6020 Innsbruck, Austria; (P.S.)
| | - Michael Schreinlechner
- Department of Internal Medicine III (Cardiology, Angiology), Medical University of Innsbruck, Anichstr. 35, A-6020 Innsbruck, Austria; (P.S.)
| | - Maria Noflatscher
- Department of Internal Medicine III (Cardiology, Angiology), Medical University of Innsbruck, Anichstr. 35, A-6020 Innsbruck, Austria; (P.S.)
| | - Daniela Lener
- Department of Internal Medicine III (Cardiology, Angiology), Medical University of Innsbruck, Anichstr. 35, A-6020 Innsbruck, Austria; (P.S.)
| | - Fabian Mair
- Department of Internal Medicine III (Cardiology, Angiology), Medical University of Innsbruck, Anichstr. 35, A-6020 Innsbruck, Austria; (P.S.)
| | - Markus Theurl
- Department of Internal Medicine III (Cardiology, Angiology), Medical University of Innsbruck, Anichstr. 35, A-6020 Innsbruck, Austria; (P.S.)
| | - Rudolf Kirchmair
- Department of Internal Medicine III (Cardiology, Angiology), Medical University of Innsbruck, Anichstr. 35, A-6020 Innsbruck, Austria; (P.S.)
| | - Peter Marschang
- Department of Internal Medicine III (Cardiology, Angiology), Medical University of Innsbruck, Anichstr. 35, A-6020 Innsbruck, Austria; (P.S.)
- Department of Internal Medicine, Central Hospital of Bolzano (SABES-ASDAA), Via Lorenz Boehler 5, I-39100 Bolzano, Italy
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24
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Ihle‐Hansen H, Vigen T, Berge T, Walle‐Hansen MM, Hagberg G, Ihle‐Hansen H, Thommessen B, Ariansen I, Røsjø H, Rønning OM, Tveit A, Lyngbakken M. Carotid Plaque Score for Stroke and Cardiovascular Risk Prediction in a Middle-Aged Cohort From the General Population. J Am Heart Assoc 2023; 12:e030739. [PMID: 37609981 PMCID: PMC10547315 DOI: 10.1161/jaha.123.030739] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 07/27/2023] [Indexed: 08/24/2023]
Abstract
Background We aimed to explore the predictive value of the carotid plaque score, compared with the Systematic Coronary Risk Evaluation 2 (SCORE2) risk prediction algorithm, on incident ischemic stroke and major adverse cardiovascular events and establish a prognostic cutoff of the carotid plaque score. Methods and Results In the prospective ACE 1950 (Akershus Cardiac Examination 1950 study), carotid plaque score was calculated with ultrasonography at inclusion in 2012 to 2015. The largest plaque diameter in each extracranial segment of the carotid artery on both sides was scored from 0 to 3 points. The sum of points in all segments provided the carotid plaque score. The cohort was followed up by linkage to national registries for incident ischemic stroke and major adverse cardiovascular events (nonfatal ischemic stroke, nonfatal myocardial infarction, and cardiovascular death) throughout 2020. Carotid plaque score was available in 3650 (98.5%) participants, with mean±SD age of 63.9±0.64 years at inclusion. Only 462 (12.7%) participants were free of plaque, and and 970 (26.6%) had a carotid plaque score of >3. Carotid plaque score predicted ischemic stroke (hazard ratio [HR], 1.25 [95% CI, 1.15-1.36]) and major adverse cardiovascular events (HR, 1.21 [95% CI, 1.14-1.27]) after adjustment for SCORE2 and provided strong incremental prognostic information to SCORE2. The best cutoff value of carotid plaque score for ischemic stroke was >3, with positive predictive value of 2.5% and negative predictive value of 99.3%. Conclusions The carotid plaque score is a strong predictor of ischemic stroke and major adverse cardiovascular events, and it provides incremental prognostic information to SCORE2 for risk prediction. A cutoff score of >3 seems to be suitable to discriminate high-risk subjects. Registration Information clinicaltrials.gov. Identifier: NCT01555411.
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Affiliation(s)
- Håkon Ihle‐Hansen
- Department of Medical ResearchBærum Hospital, Vestre Viken Hospital TrustGjettumNorway
| | - Thea Vigen
- Division of Medicine, Department of NeurologyAkershus University HospitalLørenskogNorway
| | - Trygve Berge
- Department of Medical ResearchBærum Hospital, Vestre Viken Hospital TrustGjettumNorway
| | - Marte M. Walle‐Hansen
- Department of Medical ResearchBærum Hospital, Vestre Viken Hospital TrustGjettumNorway
| | - Guri Hagberg
- Department of Medical ResearchBærum Hospital, Vestre Viken Hospital TrustGjettumNorway
- Stroke Unit, Department of NeurologyOslo University HospitalOsloNorway
| | - Hege Ihle‐Hansen
- Department of Medical ResearchBærum Hospital, Vestre Viken Hospital TrustGjettumNorway
- Stroke Unit, Department of NeurologyOslo University HospitalOsloNorway
| | - Bente Thommessen
- Division of Medicine, Department of NeurologyAkershus University HospitalLørenskogNorway
| | - Inger Ariansen
- Department of Chronic DiseasesNorwegian Institute of Public HealthOsloNorway
| | - Helge Røsjø
- K.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, Faculty of MedicineUniversity of OsloOsloNorway
- Division of Research and InnovationAkershus University HospitalLørenskogNorway
| | - Ole Morten Rønning
- Division of Medicine, Department of NeurologyAkershus University HospitalLørenskogNorway
- Institute of Clinical Medicine, Faculty of MedicineUniversity of OsloOsloNorway
| | - Arnljot Tveit
- Department of Medical ResearchBærum Hospital, Vestre Viken Hospital TrustGjettumNorway
- Institute of Clinical Medicine, Faculty of MedicineUniversity of OsloOsloNorway
| | - Magnus Lyngbakken
- K.G. Jebsen Center for Cardiac Biomarkers, Institute of Clinical Medicine, Faculty of MedicineUniversity of OsloOsloNorway
- Division of Medicine, Department of CardiologyAkershus University HospitalLørenskogNorway
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Khoshbaten M, Maleki SH, Hadad S, Baral A, Rocha AV, Poudel L, Abdshah A. Association of nonalcoholic fatty liver disease and carotid media-intima thickness: A systematic review and a meta-analysis. Health Sci Rep 2023; 6:e1554. [PMID: 37701352 PMCID: PMC10493365 DOI: 10.1002/hsr2.1554] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2023] [Revised: 07/04/2023] [Accepted: 08/29/2023] [Indexed: 09/14/2023] Open
Abstract
Introduction The relationship between cardiovascular disorders and nonalcoholic fatty liver disease (NAFLD) has been extensively studied. To better pool this data and make a more definite conclusion, we performed a meta-analysis to evaluate the association between NAFLD and the thickness of media and intima of carotid artery (CIMT) and cardiovascular disorders. Methods We searched PubMed, Ovid, Scopus, ProQuest, Web of Science, and the Cochrane Library, and analyzed the pooled data using R studio and the "metafor" package. Results The final analysis included a total of 59 studies with 16,179 cases and 26,120 control individuals. NAFLD was shown to be associated with an increase of 0.1231 mm (20.6%) in carotid artery intima-media thickness (CIMT) (p = 0.002, 95% confidence interval [CI]: 0.0462-0.2000) in individuals with NAFLD. The prevalence of atherosclerotic plaques in the carotid arteries and the occurrence of NAFLD are significantly correlated, according to a meta-analysis based on 17 distinct studies (p = 0.001, 1.28-1.43, 95% CI, odds ratio = 1.356). Conclusion Patients with increased CIMT are considerably more likely to have NAFLD. Large prospective investigations are required to corroborate these findings and their prognostic significance, along with the effectiveness of the available interventions.
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Affiliation(s)
- Manouchehr Khoshbaten
- Liver and Gastrointestinal Diseases Research CenterTabriz University of Medical SciencesTabrizIran
| | - Sepideh H. Maleki
- Department of PathologyImam Reza Hospital, Tabriz University of Medical SciencesTabrizIran
| | - Sara Hadad
- Liver and Gastrointestinal Diseases Research CenterTabriz University of Medical SciencesTabrizIran
| | - Amrit Baral
- Department of Public Health SciencesMiller School of Medicine, University of MiamiMiamiFloridaUSA
| | - Ana V. Rocha
- Department of Public Health SciencesMiller School of Medicine, University of MiamiMiamiFloridaUSA
| | | | - Alireza Abdshah
- Department of Public Health SciencesMiller School of Medicine, University of MiamiMiamiFloridaUSA
- School of MedicineTehran University of Medical SciencesTehranIran
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Abstract
Atherosclerosis is the main cause of arterial thrombosis, causing acute occlusive cardiovascular syndromes. Numerous risk prediction models have been developed, which mathematically combine multiple predictors, to estimate the risk of developing cardiovascular events. Current risk models typically do not include information from biomarkers that can potentially improve these existing prediction models especially if they are pathophysiologically relevant. Numerous cardiovascular disease biomarkers have been investigated that have focused on known pathophysiological pathways including those related to cardiac stress, inflammation, matrix remodelling, and endothelial dysfunction. Imaging biomarkers have also been studied that have yielded promising results with a potential higher degree of clinical applicability in detection of atherosclerosis and cardiovascular event prediction. To further improve therapy decision-making and guidance, there is continuing intense research on emerging biologically relevant biomarkers. As the pathogenesis of cardiovascular disease is multifactorial, improvements in discrimination and reclassification in risk prediction models will likely involve multiple biomarkers. This article will provide an overview of the literature on potential blood-based and imaging biomarkers of atherosclerosis studied so far, as well as potential future directions.
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Affiliation(s)
- Kashan Ali
- From the Division of Molecular & Clinical Medicine, School of Medicine, Ninewells Hospital & Medical School, University of Dundee, Dundee, UK
| | - Chim C Lang
- From the Division of Molecular & Clinical Medicine, School of Medicine, Ninewells Hospital & Medical School, University of Dundee, Dundee, UK
| | - Jeffrey T J Huang
- Biomarker and Drug Analysis Core Facility, Medical Research Institute, Ninewells Hospital & Medical School, University of Dundee, Dundee, UK
| | - Anna-Maria Choy
- From the Division of Molecular & Clinical Medicine, School of Medicine, Ninewells Hospital & Medical School, University of Dundee, Dundee, UK
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Agudelo C, Ramos AR, Gardener H, Cheung K, Elkind MSV, Sacco RL, Rundek T. Sleep Duration Is Associated With Subclinical Carotid Plaque Burden. Stroke 2023; 54:2347-2355. [PMID: 37470161 PMCID: PMC10527503 DOI: 10.1161/strokeaha.122.041967] [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: 11/29/2022] [Accepted: 06/06/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND Sleep duration is associated with stroke risk and is 1 of 8 essential components of cardiovascular health according to the American Heart Association. As stroke disproportionately burdens Black and Hispanic populations in the United States, we hypothesized that long and short sleep duration would be associated with greater subclinical carotid atherosclerosis, a precursor of stroke, in the racially and ethnically diverse NOMAS (Northern Manhattan Study). METHODS NOMAS is a study of community-dwelling adults. Self-reported nightly sleep duration and daytime sleepiness were collected between 2006 and 2011. Carotid plaque presence, total plaque area, and intima-media thickness were measured by ultrasound between 1999 and 2008. Linear and logistic regression models examined the cross-sectional associations of sleep duration groups (primary exposure) or daytime sleepiness (secondary exposure) with measures of carotid atherosclerosis. Models adjusted for age, time between ultrasound and sleep data collection, sex, race and ethnicity, education, health insurance, smoking, alcohol use, physical activity, body mass index, hypertension, diabetes, hypercholesterolemia, and cardiac disease. RESULTS The sample (n=1553) had a mean age of 64.7±8.5 years and was 61.9% female, 64.8% Hispanic, and 18.2% non-Hispanic Black. Of the sample, 55.6% had carotid plaque, 22.3% reported nightly short sleep (<7 hours), 66.6% intermediate sleep (≥7 and <9 hours), and 11.1% had long sleep (≥9 hours). Compared with intermediate sleep, long sleep was associated with greater odds of carotid plaque presence relative to plaque absence (odds ratio, 1.6 [95% CI, 1.1-2.4]) and larger total plaque area (odds ratio, 1.4 [95% CI, 1.0-1.9]) after full covariate adjustment. Short sleep and daytime sleepiness were not significantly associated with any carotid measures. CONCLUSIONS The association between long sleep and subclinical carotid atherosclerosis may explain prior associations between long sleep and stroke.
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Affiliation(s)
- Christian Agudelo
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, US
- The Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, US
| | - Alberto R. Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, US
- The Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, US
| | - Hannah Gardener
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, US
- The Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, US
| | - Ken Cheung
- Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York, US
| | - Mitchell SV Elkind
- Department of Neurology, Vagelos College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, US
| | - Ralph L. Sacco
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, US
- The Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, US
| | - Tatjana Rundek
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, US
- The Evelyn F. McKnight Brain Institute, University of Miami Miller School of Medicine, Miami, Florida, US
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Tobe A, Tanaka A, Furusawa K, Shirai Y, Funakubo H, Otsuka S, Kubota Y, Kunieda T, Yoshioka N, Sato S, Kudo N, Ishii H, Murohara T. Heterogeneous Carotid Plaque Predicts Cardiovascular Events after Percutaneous Coronary Intervention. J Atheroscler Thromb 2023; 30:1187-1197. [PMID: 36503894 PMCID: PMC10499458 DOI: 10.5551/jat.63622] [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] [Received: 04/12/2022] [Accepted: 10/25/2022] [Indexed: 09/05/2023] Open
Abstract
AIM The relationship between carotid artery ultrasound findings and clinical outcomes in patients who undergo percutaneous coronary intervention (PCI) has not been completely elucidated. METHODS This single-center retrospective study investigated 691 patients who underwent PCI and carotid ultrasound testing. Maximum carotid intima-media thickness (CIMT) was defined as the greatest CIMT at the maximally thick point among the common carotid artery, carotid bulb, and internal carotid artery. A carotid plaque was defined as vessel wall thickening with a CIMT ≥ 1.5 mm. The characteristics of carotid plaque (heterogeneity, calcification, or irregular/ulcerated surface) were evaluated visually. Patients were divided into those with and without heterogeneous carotid plaque (maximum CIMT ≥ 1.5 mm and heterogeneous texture). The endpoint was the incidence of a major adverse cardiovascular event (MACE) defined as a composite of cardiovascular (CV) death, myocardial infarction, and ischemic stroke. RESULTS Among 691 patients, 309 were categorized as having a heterogeneous plaque. Patients with heterogeneous plaques were at a higher risk of MACE than those without (p=0.002). A heterogeneous plaque was independently associated with MACE after adjusting for covariates (hazard ratio [HR], 1.71; 95% confidence interval [CI], 1.01-2.90; p=0.046). Calcified or irregular/ulcerated plaques were correlated with a higher incidence of MACE, but both were not independently associated with MACE (HR, 1.35; 95% CI, 0.69-2.64, p=0.38 and HR, 0.98; 95% CI, 0.57-1.69; p=0.95, respectively). CONCLUSION The presence of a heterogeneous carotid plaque in patients who underwent PCI predicted future CV events. These patients may require more aggressive medical therapy and careful follow-up.
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Affiliation(s)
- Akihiro Tobe
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Akihito Tanaka
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Kenji Furusawa
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoshinori Shirai
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hiroshi Funakubo
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Satoshi Otsuka
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Yoshiaki Kubota
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Takeshige Kunieda
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Naoki Yoshioka
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Sara Sato
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Nobutaka Kudo
- Department of Cardiology, Handa City Hospital, Aichi, Japan
| | - Hideki Ishii
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
- Department of Cardiology, Gunma University Graduate School of Medicine, Gunma, Japan
| | - Toyoaki Murohara
- Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
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Liu Y, He M, Yin T, Zheng Z, Fang C, Peng S. Association of severely damaged endodontically infected tooth with carotid plaque and abnormal carotid intima-media thickness: a retrospective analysis. Clin Oral Investig 2023; 27:4677-4686. [PMID: 37294352 DOI: 10.1007/s00784-023-05094-z] [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: 07/09/2022] [Accepted: 05/22/2023] [Indexed: 06/10/2023]
Abstract
OBJECTIVE We investigated the association of severely damaged endodontically infected tooth with carotid artery plaque and abnormal mean carotid intima-media thickness (CIMT) ≥ 1.0 mm. METHODS A retrospective analysis of 1502 control participants and 1552 participants with severely damaged endodontically infected tooth who received routine medical and dental checkup in Health Management Center, Xiangya Hospital was performed. Carotid plaque and CIMT were measured with B-mode tomographic ultrasound. Data were analyzed using logistic and linear regression. RESULTS Severely damaged endodontically infected tooth group had a significantly higher prevalence of carotid plaque (41.62%) compared to 32.22% of carotid plaque in control group. Participants with severely damaged endodontically infected tooth had a significantly higher prevalence of abnormal CIMT (16.17%) and a significantly increased level of CIMT (0.79 ± 0.16 mm) in comparison to 10.79% of abnormal CIMT and 0.77 ± 0.14 mm CIMT in control participants. Severely damaged endodontically infected tooth was significantly related with formation of carotid plaque [1.37(1.18-1.60), P < 0.001], top quartile length [1.21(1.02-1.44), P = 0.029] and top quartile thickness [1.27(1.08-1.51), P = 0.005] of carotid plaque and abnormal CIMT [1.47(1.18-1.83), P < 0.001]. Severely damaged endodontically infected tooth was significantly associated with both single [1.277(1.056-1.546), P = 0.012] and multiple carotid plaques [1.488(1.214-1.825), P < 0.001] and instable carotid plaques [1.380(1.167-1.632), P < 0.001]. Presence of severely damaged endodontically infected tooth increased 0.588 mm of carotid plaque length (P = 0.001), 0.157 mm of carotid plaque thickness (P < 0.001) and 0.015 mm of CIMT (P = 0.005). CONCLUSION Severely damaged endodontically infected tooth was associated with carotid plaque and abnormal CIMT. CLINICAL RELEVANCE Early treatment of endodontically infected tooth is warranted.
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Affiliation(s)
- Yundong Liu
- Health Management Center, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, People's Republic of China.
| | - Mi He
- Department of Stomatology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
| | - Tao Yin
- Changsha Health Vocational College, Changsha, Hunan, 410605, People's Republic of China
| | - Ziran Zheng
- Department of Stomatology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
| | - Changyun Fang
- Department of Stomatology, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, People's Republic of China
| | - Shifang Peng
- Department of Infectious Diseases, Xiangya Hospital, Central South University, 87 Xiangya Road, Changsha, Hunan, 410008, People's Republic of China.
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Tebar WR, Santos IDS, Meneghini V, Bittencourt MS, Lotufo PA, Benseñor IM. Carotid intima-media thickness in adults with and without psoriasis - a nested case-control study from baseline data of ELSA-Brasil cohort. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2023; 39:1483-1491. [PMID: 37289333 DOI: 10.1007/s10554-023-02870-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 05/05/2023] [Indexed: 06/09/2023]
Abstract
There is a lack of consensus about the association between psoriasis (PSO) and carotid intima-media thickness (cIMT) in literature, since previous studies considered dermatologic clinic patients or general population. This study aimed to compare cIMT levels according to PSO in a sample of 10,530 civil servants form the ELSA-Brasil cohort study and analyze its association with the disease. The PSO cases and disease duration were identified by medical diagnosis self-reported at study enrollment. A paired group was identified by propensity score matching among all the participants without PSO. Mean cIMT values were considered for continuous analysis while cIMT above 75th percentile was considered for categorical analysis. Multivariate conditional regression models were used to analyze association between cIMT and PSO diagnosis, by comparing PSO cases against paired controls and overall sample without disease. A total of n = 162 PSO cases were identified (1.54%) and no difference in cIMT values was observed between participants with PSO and overall sample or control group. PSO was not associated with linear increment of cIMT (vs. overall sample: β = 0.003, p = 0.690; vs. matched controls: β = 0.004, p = 0.633) neither with increased chance of having cIMT above 75th percentile (vs. overall sample: OR = 1.06, p = 0.777; vs. matched controls: OR = 1.19, p = 0.432; conditional regression: OR = 1.31, p = 0.254). There was no relationship between disease duration and cIMT (β = 0.000, p = 0.627). Although no significant relationship between mild cases of psoriasis and cIMT was observed among a wide cohort of civil servants, longitudinal investigation about cIMT progression and severity of disease are still needed.
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Affiliation(s)
- William R Tebar
- Centro de Pesquisa Clínica e Epidemiológica (CPCE), Hospital Universitário, Universidade de São Paulo, Av. Lineu Prestes 2565, 3º andar, São Paulo, CEP: 05435-060, Brazil
| | - Itamar de S Santos
- Centro de Pesquisa Clínica e Epidemiológica (CPCE), Hospital Universitário, Universidade de São Paulo, Av. Lineu Prestes 2565, 3º andar, São Paulo, CEP: 05435-060, Brazil
| | - Vandrize Meneghini
- Centro de Pesquisa Clínica e Epidemiológica (CPCE), Hospital Universitário, Universidade de São Paulo, Av. Lineu Prestes 2565, 3º andar, São Paulo, CEP: 05435-060, Brazil
| | - Márcio Sommer Bittencourt
- Centro de Pesquisa Clínica e Epidemiológica (CPCE), Hospital Universitário, Universidade de São Paulo, Av. Lineu Prestes 2565, 3º andar, São Paulo, CEP: 05435-060, Brazil
- Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Paulo A Lotufo
- Centro de Pesquisa Clínica e Epidemiológica (CPCE), Hospital Universitário, Universidade de São Paulo, Av. Lineu Prestes 2565, 3º andar, São Paulo, CEP: 05435-060, Brazil
| | - Isabela M Benseñor
- Centro de Pesquisa Clínica e Epidemiológica (CPCE), Hospital Universitário, Universidade de São Paulo, Av. Lineu Prestes 2565, 3º andar, São Paulo, CEP: 05435-060, Brazil.
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Zeng N, Shen Y, Li Y, Wang Y. Association between remnant cholesterol and subclinical carotid atherosclerosis among Chinese general population in health examination. J Stroke Cerebrovasc Dis 2023; 32:107234. [PMID: 37392486 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107234] [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] [Received: 03/06/2023] [Revised: 06/20/2023] [Accepted: 06/22/2023] [Indexed: 07/03/2023] Open
Abstract
OBJECTIVE Remnant cholesterol (RC) was associated with carotid atherosclerosis in patients with clinical settings. But the value of RC as a risk management indicator for subclinical carotid atherosclerosis in health examination has not been fully determined. METHODS This was a real-world, cross-sectional study including 12317 Chinese general population. Carotid intima-media thickness (CIMT) and carotid atherosclerotic plaque (CAP) were assessed by ultrasound. RC was calculated by total cholesterol minus low density lipoprotein-cholesterol (LDL-C) minus high density lipoprotein-cholesterol (HDL-C).Carotid atherosclerosis (CAS) was defined as a composite of increased CIMT and CAP. Multivariable logistic regression models were used to investigate the association of RC and CAS, increased CIMT and CAP. RESULTS Among 12317 participants (mean age: 51.21±13.76 years; 8303 men and 4014 women), the prevalence of CAS and increased CIMT was higher in participants with higher RC levels (P for trend<0.01). After multivariable adjustment, the highest quartile of RC was significantly associated with higher risk of CAS (OR: 1.45 95%CI: 1.26-1.67) and increased CIMT (OR: 1.48 95%CI: 1.29-1.71) with the lowest quartile of RC as reference. And the relationships remained significant even after adjustment of LDL-C and HDL-C. Every 1-SD increase of RC level was positively associated with 17% risk increment for CAS (6-30%) and 20% risk increment for increased CIMT (8-34%). CONCLUSION Elevated serum RC levels were significantly associated with CAS and increased CIMT among Chinese general population, independent of LDL-C and HDL-C. RC evaluation could be applied for the risk management of early stage of subclinical carotid atherosclerosis in health examination.
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Affiliation(s)
- Nimei Zeng
- Physical Examination Center, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Yu'e Shen
- Physical Examination Center, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Yuan Li
- Department of Cardiovasology, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China
| | - Yun Wang
- Physical Examination Center, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University, Suzhou, China.
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32
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Costo-Muriel C, Calderón-García JF, Rico-Martín S, Galán-González J, Escudero-Sánchez G, Sánchez-Bacaicoa C, Rodríguez-Velasco FJ, Santano-Mogena E, Fonseca C, Muñoz-Torrero JFS. Relationship between the novel and traditional anthropometric indices and subclinical atherosclerosis evaluated by carotid intima-media thickness (c-IMT). Front Nutr 2023; 10:1170450. [PMID: 37457970 PMCID: PMC10348712 DOI: 10.3389/fnut.2023.1170450] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 06/12/2023] [Indexed: 07/18/2023] Open
Abstract
Introduction Over the last few years, novel anthropometric indices have been developed as an alternative to body mass index (BMI) and other traditional anthropometric measurements to enhance the estimate of fat proportion and its relationship to a future cardiovascular event. The purpose of this study was to investigate the association of carotid intima-media thickness (c-IMT) estimated by Doppler ultrasound with current anthropometric indices (traditional and novel). Methods A cross-sectional study was conducted on a total of 789 Spanish patients. Traditional (BMI, WHR, and WHtR) and new (WWI, AVI, ABSI, BRI, BAI, CUN-BAE, and CI) anthropometric indices were determined, and carotid Doppler ultrasound was performed to evaluate c-IMT (≥0.90 mm). Results Most of the anthropometric indices analyzed were significantly higher among patients with pathological c-IMT, except for BMI, BAI, and CUN-BAE. In multiple linear regression analysis, c-IMT was positively related to ABSI, AVI, BRI, CI, and WWI but not to CUN-BAE, BAI, or traditional anthropometric indices. Similarly, in univariate analysis, all indices were associated with a c-IMT of ≥0.90 mm (p < 0.05), except BMI, BAI, and CUN-BAE; however, only ABSI (adjusted OR: 1.61; 95% CI: 1.08-2.40; p = 0.017), CI (adjusted OR: 1.73; 95% CI: 1.15-2.60; p = 0.008), and WWI (adjusted OR: 1.74; 95% CI: 1.14-2.64; p = 0.009) were significantly associated in multivariate analysis. Finally, CI, ABSI, and WWI provided the largest AUC, and BMI and CUN-BAE showed the lowest AUC. Conclusion ABSI, CI, and WWI were positively associated with pathological c-IMT (≥0.90 mm), independent of other confounders.
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Affiliation(s)
- Clara Costo-Muriel
- Department of Internal Medicine, Hospital Comarcal de la Axarquía, Málaga, Spain
| | - Julián F. Calderón-García
- Department of Nursing, Nursing and Occupational Therapy College, University of Extremadura, Cáceres, Spain
| | - Sergio Rico-Martín
- Department of Nursing, Nursing and Occupational Therapy College, University of Extremadura, Cáceres, Spain
| | | | | | | | | | - Esperanza Santano-Mogena
- Department of Nursing, Nursing and Occupational Therapy College, University of Extremadura, Cáceres, Spain
| | - César Fonseca
- Department of Nursing, University of Évora, Evora, Portugal
- Department of Nursing, Comprehensive Health Research Centre (CHRC), Evora, Portugal
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Liao M, Chen S, Guo R. Association between carotid ultrasonographic parameters and microvascular and macrovascular complications in diabetes: A systematic review and meta-analysis. J Diabetes Complications 2023; 37:108554. [PMID: 37418962 DOI: 10.1016/j.jdiacomp.2023.108554] [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: 04/14/2023] [Revised: 06/13/2023] [Accepted: 06/25/2023] [Indexed: 07/09/2023]
Abstract
OBJECTIVE The present meta-analysis aimed to assess the association between carotid ultrasonographic parameters and diabetic microvascular and macrovascular complications. METHODS All published articles were searched in electronic databases including PubMed, Embase, Cochrane Library, and Web of Science databases from the inception to May 27, 2023. Common carotid artery intima-media thickness (CCA-IMT), carotid bifurcation intima-media thickness (CB-IMT), internal carotid artery intima-media thickness (ICA-IMT), carotid plaque, carotid plaque score, plaque number, plaque thickness, carotid atherosclerosis, and resistivity indices (RIs) of ultrasonographic parameters were assessed. The odds ratio (OR), weighted mean difference (WMD), with the 95 % confidence interval (CI) were pooled to estimate the effect. Subgroup analyses were performed in terms of the type of diabetes and study design. Sensitivity analysis was used to evaluate the robustness of the results. RESULTS A total of 25 studies involving 12,102 diabetic patients were included in this systematic review and meta-analysis. Our findings suggested the associations between increased CCA-IMT and the risk of diabetic microvascular (WMD: 0.059, 95%CI: 0.026 to 0.091, P < 0.001) and macrovascular complications (WMD: 0.124, 95%CI: 0.061 to 0.187, P < 0.001) including cardiovascular events (OR: 2.362, 95%CI: 1.913 to 2.916, P < 0.001). Subgroup analyses also elaborated an association between CCA-IMT and diabetic microvascular and macrovascular complications. The results of sensitivity analysis show that the association is relatively stable. CONCLUSION Our findings revealed associations between carotid ultrasonographic parameters and microvascular and macrovascular complications of diabetes. Application of the carotid ultrasonographic parameters could be a non-invasive method for the early detection of long-term complications of diabetes.
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Affiliation(s)
- Meimei Liao
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan 430060, PR China
| | - Sen Chen
- Department of Orthopedics, Renmin Hospital of Wuhan University, Wuhan 430060, PR China
| | - Ruiqiang Guo
- Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan 430060, PR China.
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Bermúdez-López M, Martí-Antonio M, Castro-Boqué E, Bretones MDM, Farràs C, Gonzalez J, Pamplona R, Lecube A, Mauricio D, Cambray S, Valdivielso JM, Fernández E. Cumulative tobacco consumption has a dose-dependent effect on atheromatosis burden and improves severe atheromatosis prediction in asymptomatic middle-aged individuals: The ILERVAS study. Atherosclerosis 2023; 375:75-83. [PMID: 37276714 DOI: 10.1016/j.atherosclerosis.2023.05.002] [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: 09/30/2022] [Revised: 04/26/2023] [Accepted: 05/01/2023] [Indexed: 06/07/2023]
Abstract
BACKGROUND AND AIMS Sex-specific impact of cumulative tobacco consumption (CTC) on atheromatosis extension and total plaque area remains unknown. We aimed to determine the impact of CTC in atheromatosis localization and burden. METHODS We performed a cross-sectional analysis in 8330 asymptomatic middle-aged individuals. 12-territory vascular ultrasounds in carotid and femoral arteries were performed to detect atheromatous plaque presence and to measure total plaque area. Adjusted regressions and conditional predictions by smoking habit or CTC (stratified in terciles as low (≤13.53), medium (13.54-29.3), and high (>29.3 packs-year)) were calculated. Severe atheromatosis (SA, ≥3 territories with atheroma plaque) was predicted with the Systematic COronary Risk Evaluation 2 (SCORE2) model. The improvement of SA prediction after adding CTC was evaluated. RESULTS CTC was associated with an increased risk of atheromatosis, stronger in femoral than in carotid artery, but similar in both sexes. A dose-dependent effect of CTC on the number of territories with atheroma plaque and total plaque area was observed. Addition of CTC to the SCORE2 showed a higher sensitivity, accuracy, and negative predictive value in males, and a higher specificity and positive predictive value in females. In both sexes, the new SCORE2-CTC model showed a significant increase in AUC (males: 0.033, females: 0.038), and in the integrated discrimination index (males: 0.072; females: 0.058, p < 0.001). Age and CTC were the most important clinical predictors of SA in both sexes. CONCLUSIONS CTC shows a dose-dependent association with atheromatosis burden, impacts more strongly in femoral arteries, and improves SA prediction.
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Affiliation(s)
- Marcelino Bermúdez-López
- Grupo de Investigación Translacional vascular y Renal, IRBLleida, Red de Investigación Renal (RedInRen. ISCIII), Lleida, Spain.
| | - Manuel Martí-Antonio
- Grupo de Investigación Translacional vascular y Renal, IRBLleida, Red de Investigación Renal (RedInRen. ISCIII), Lleida, Spain
| | - Eva Castro-Boqué
- Grupo de Investigación Translacional vascular y Renal, IRBLleida, Red de Investigación Renal (RedInRen. ISCIII), Lleida, Spain
| | - María Del Mar Bretones
- Grupo de Investigación Translacional vascular y Renal, IRBLleida, Red de Investigación Renal (RedInRen. ISCIII), Lleida, Spain
| | - Cristina Farràs
- Centre d'Atenció Primària Cappont. Gerència Territorial de Lleida, Institut Català de la Salut, Barcelona, Spain; Research Support Unit Lleida, Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gorina (IDIAPJGol), Barcelona, Spain
| | - Jessica Gonzalez
- Departament de Medicina Respiratòria, Hospital Universitari Arnau de Vilanova, Grup Recerca Translational Medicina Respiratòria, IRBLleida, Universitat de Lleida, Lleida, Spain; CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain
| | - Reinald Pamplona
- Departament de Medicina Experimental, IRBLleida, Universitat de Lleida, Lleida, Spain
| | - Albert Lecube
- Departament d'Endocrinologia i Nutrició, Hospital Universitari Arnau de Vilanova, Grup de Recerca Obesitat i Metabolisme (ODIM), IRBLleida, Universitat de Lleida, Lleida, Spain; Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Dídac Mauricio
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), Madrid, Spain; Departament d'Endocrinologia i Nutrició, Hospital de la Santa Creu i Sant Pau, Institut de Recerca Biomèdica Sant Pau (IIB Sant Pau), Barcelona, Spain; Faculty of Medicine, University of Vic & Central University of Vic, Vic, Spain
| | - Serafi Cambray
- Grupo de Investigación Translacional vascular y Renal, IRBLleida, Red de Investigación Renal (RedInRen. ISCIII), Lleida, Spain
| | - José Manuel Valdivielso
- Grupo de Investigación Translacional vascular y Renal, IRBLleida, Red de Investigación Renal (RedInRen. ISCIII), Lleida, Spain.
| | - Elvira Fernández
- Grupo de Investigación Translacional vascular y Renal, IRBLleida, Red de Investigación Renal (RedInRen. ISCIII), Lleida, Spain
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Nafakhi H, Elwali HQ, Al-Sharea KMK, Al-Mosawi AA. Relationship of cardiovascular risk factors, pericardial fat, and carotid thickness with coronary plaque type in patients with diabetes mellitus. J Diabetes Metab Disord 2023; 22:713-719. [PMID: 37255796 PMCID: PMC10225442 DOI: 10.1007/s40200-023-01190-9] [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: 12/12/2022] [Revised: 01/20/2023] [Accepted: 01/23/2023] [Indexed: 06/01/2023]
Abstract
Background There is paucity of data on the potential predictors of coronary plaque types among patients with diabetes mellitus(DM). Aims To assess the association of cardiovascular risk factors, pericardial fat volume (PFV) assessed by multi-detector CT(MDCT)angiography, and internal carotid intima media thickness with coronary atherosclerotic plaque types in patients with type 2 DM. Patients and methods Patients with suspected coronary artery disease who underwent 64-slice MDCT angiography were enrolled in this retrospective study. Results A total of 784 patients were enrolled in this study, 198 of whom had DM and 586 of whom did not. The prevalence of calcified and mixed plaques was significantly higher in the DM group than without DM group, while no significant difference was found in the distribution of non-calcified plaque between groups. There was significant association between smoking [OR(CI) = 4(2-10),P = 0.001] and increased age[OR(CI) = 1.1(1-1.3),P = 0.023] and calcified plaque presence. Regarding mixed and non-calcified plaque, increased PFV[OR(CI) = 1.1(1-1.3),P = 0.001] and positive family history[OR(CI) = 4(2-12),P = 0.049] showed a significant association with coronary mixed plaque presence while no significant association was observed between cardiovascular risk factors, PFV, and internal carotid intima media thickness and non-calcified plaque presence in patients with DM. Conclusion Increased PFV showed significant and independent association with mixed coronary plaques development, which suggests that PFV may be used as an imaging marker for early detection of increased risk for future coronary events in patients with DM.
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Affiliation(s)
- Hussein Nafakhi
- Internal medicine department, Medicine College, University of Kufa, P.O. 21, Kufa, Najaf, Iraq
| | | | - Kareem M Khalaf Al-Sharea
- Diabetes and endocrine center, Al-Sader teaching medical city, Najaf health directorate, Najaf, Iraq
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Huang Q, Liu Z, Wei M, Huang Q, Feng J, Liu Z, Xia J. The atherogenic index of plasma and carotid atherosclerosis in a community population: a population-based cohort study in China. Cardiovasc Diabetol 2023; 22:125. [PMID: 37244995 PMCID: PMC10225098 DOI: 10.1186/s12933-023-01839-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 04/25/2023] [Indexed: 05/29/2023] Open
Abstract
BACKGROUND The atherogenic index of plasma (AIP) is an important alternative metabolic biomarker of atherosclerosis and cardiovascular diseases. Nevertheless, the correlation between the AIP and carotid atherosclerosis is unknown among the general population. METHODS A total of 52,380 community residents, aged ≥ 40 years who underwentcervical vascular ultrasound from December 2017 to December 2020 in Hunan China, were selected for retrospective analysis. The AIP was calculated as a logarithmically converted ratio of triglycerides (TG) to high-density lipoprotein-cholesterol (HDL-C). The participants were divided into AIP quartile groups (Q1-Q4). Logistic regression models and restricted cubic spline analyses were used to examine the association of the AIP with carotid atherosclerosis. Stratified analyses were applied to control for confounding factors. The incremental predictive value of the AIP was further assessed. RESULTS After adjusting for traditional risk factors, an increased AIP was associated with a higher rate of carotid atherosclerosis (CA), increased carotid intima-media thickness (CIMT), and plaques [odds ratio, OR (95% confidence interval, CI): 1.06 (1.04, 1.08), 1.07 (1.05, 1.09), and 1.04 (1.02, 1.06) per 1-SD increase in the AIP, respectively]. Compared with those participants in the quartile 1 group, those in the quartile 4 group had a greater risk of CA [OR 1.18, 95% CI (1.12, 1.25)], increased CIMT [OR 1.20, 95% CI (1.13, 1.26)], and plaques [OR 1.13, 95% CI (1.06, 1.19)]. However, we did not observe an association between the AIP and stenosis [0.97 (0.77, 1.23), p for trend = 0.758]. Restricted cubic spline analyses also showed a cumulative increase in the risk of CA, increased CIMT, and plaques but not stenosis severity (> 50%) with an increase of the AIP. Subgroup analyses showed that a more significant association between the AIP and the prevalence of increased CA was detected in younger subjects (aged < 60 years) with a body mass index (BMI) of ≥ 24 and fewer comorbidities. Additionally, the AIP provided incremental predictive capacity over established risk factors for CA, as shown by an improvement in the net reclassification index (NRI) and integrated discrimination index (IDI) (all P < 0.05). CONCLUSIONS An elevated AIP in a community-based population is associated with a higher rate of CA. the AIP could serve as a potential biomarker for CA risk assessment.
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Affiliation(s)
- Qin Huang
- Department of Neurology, Xiangya Hospital, Central South University, No.87, Xiangya Road, Changsha, 410008, Hunan, China
- Department of Neurology, Peking University people's hospital, Beijing, China
| | - Zeyu Liu
- Department of Neurology, Xiangya Hospital, Central South University, No.87, Xiangya Road, Changsha, 410008, Hunan, China
| | - Minping Wei
- Department of Neurology, Xiangya Hospital, Central South University, No.87, Xiangya Road, Changsha, 410008, Hunan, China
| | - Qing Huang
- Department of Neurology, Xiangya Hospital, Central South University, No.87, Xiangya Road, Changsha, 410008, Hunan, China
| | - Jie Feng
- Department of Neurology, Xiangya Hospital, Central South University, No.87, Xiangya Road, Changsha, 410008, Hunan, China
| | - Zunjing Liu
- Department of Neurology, Peking University people's hospital, Beijing, China
| | - Jian Xia
- Department of Neurology, Xiangya Hospital, Central South University, No.87, Xiangya Road, Changsha, 410008, Hunan, China.
- Clinical Research Center for Cerebrovascular Disease of Hunan Province, Central South University, Changsha, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China.
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Parkkila K, Kesäniemi YA, Ukkola O. Comparing ultrasonographically assessed carotid and abdominal aorta plaques in cardiovascular disease risk estimation. BMC Cardiovasc Disord 2023; 23:245. [PMID: 37161438 PMCID: PMC10170739 DOI: 10.1186/s12872-023-03264-1] [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: 11/15/2022] [Accepted: 04/26/2023] [Indexed: 05/11/2023] Open
Abstract
BACKGROUND Individual risk estimation is an essential part of cardiovascular (CV) disease prevention. Several imaging parameters have been studied for this purpose. Based on mounting evidence, international guidelines recommend the ultrasound assessment of carotid artery plaques to refine individual risk estimation. Previous studies have not compared carotid artery and abdominal aorta plaques in CV risk estimation. Our aim was to explore this matter in a prospective study setting. METHODS Participants were part of the Oulu Project Elucidating Risk of Atherosclerosis (OPERA) project. All participants (n = 1007, 50% males, aged 51.3 ± 6.0 years) were clinically examined in the beginning of 1990's and followed until the end 2014 for fatal and non-fatal CV events. RESULTS During a median follow-up of 22.5 (17.5-23.2) years, 246 (24%) participants suffered a CV event and 79 (32%) of those CV events were fatal. When compared to those without plaques, both carotid (hazard ratio, HR 2.854 [95% confidence interval, CI, 2.188-3.721, p < 0.001) and abdominal aorta plaques (HR 2.534 [1.503-4.274], p < 0.001) were major risk factors for CV events as an aggregate endpoint. These associations remained even after adjusting the multivariable models with age, sex, systolic blood pressure, smoking, diabetes, LDL cholesterol, and with previous CV events (coronary artery disease and stroke/transient ischemic attack). However, only carotid plaques were significant risk factors for fatal CV events: multivariable adjusted HR 2.563 (1.452-4.524), p = 0.001. Furthermore, reclassification and discrimination parameters were improved only when carotid plaques were added to a baseline risk model. Adding abdominal aorta plaques to the baseline risk model improved C-statistic from 0.718 (0.684-0.751) to 0.721 (0.688-0.754) whereas carotid plaques improved it to 0.743 (0.710-0.776). CONCLUSIONS Both carotid and abdominal aorta plaques are significant risk factors for CV events, but only carotid plaques provide prognostic information beyond traditional CV risk factors on fatal CV events. If one ultrasound parameter for plaque detection and CV risk estimation had to be chosen, carotid plaques may be preferred over abdominal aorta.
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Affiliation(s)
- Karri Parkkila
- Medical Research Center Oulu, Research Unit of Internal Medicine, Oulu University Hospital, University of Oulu, Oulu, Finland.
| | - Y Antero Kesäniemi
- Medical Research Center Oulu, Research Unit of Internal Medicine, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Olavi Ukkola
- Medical Research Center Oulu, Research Unit of Internal Medicine, Oulu University Hospital, University of Oulu, Oulu, Finland
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Uysal S, Toker A, Türkmen K, Keskin S. The role of decoy receptor 3 in inflammation and atherosclerosis in patients with chronic kidney disease and renal transplant patients. Nefrologia 2023; 43:344-350. [PMID: 36517358 DOI: 10.1016/j.nefroe.2021.12.011] [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: 09/13/2021] [Accepted: 12/29/2021] [Indexed: 06/17/2023] Open
Abstract
INTRODUCTION The cardiovascular risk has been increased in chronic kidney disease associated with chronic inflammation and atherosclerosis. Decoy receptor 3, is a member of the TNF receptor superfamily and associated with inflammation and atherosclerosis. The aim of our study is to determine the relationship, between serum DcR3 levels and inflammatory markers in patients with renal transplantation, those receiving dialysis treatment and cases with chronic renal failure that did not receive replacement therapy, and to evaluate their correlation with USG findings. MATERIAL AND METHODS A total of 150 patients aged between 22-86 years, consisting of 4 groups, namely renal transplantation, dialysis, predialysis chronic kidney disease and control groups, were included in the study. Serum decoy receptor 3, VCAM-1, ICAM-1 and IL-8 measured with ELISA method. Carotid intima-media thickness and presence of carotis arter plaque performed by ultrasound probe, non-invasively. RESULTS All serum markers were higher in dialysis and pre-dialysis chronic kidney disease groups compared to renal transplant and control groups (p<0.05). Serum decoy receptor 3 level (median(min-max)) of renal transplant group (0.49ng/mL (0.19-1.65)) was higher than control group (0.35ng/mL (0.19-2.22)). There was no difference between patients receiving dialysis (0.89ng/mL (0.41-4.98)) and patients with pre-dialysis chronic kidney disease (0.71ng/mL (0.29-1.68)). There was no difference between patient groups in terms of the presence of plaque. CONCLUSION Although renal transplantation provides a significant improvement in the inflammatory process, not return completely. Inflammatory process associated with uremic milieu may predispose to atherosclerosis in patients with pre-dialysis chronic kidney disease and hemodialysis patients.
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Affiliation(s)
- Saliha Uysal
- Balıkesir University School of Medicine, Department of Medical Biochemistry, Balıkesir, Turkey.
| | - Aysun Toker
- Necmettin Erbakan University Meram School of Medicine, Department of Medical Biochemistry, Konya, Turkey
| | - Kültigin Türkmen
- Necmettin Erbakan University Meram School of Medicine, Department of Internal Medicine, Nephrology Division, Konya, Turkey
| | - Suat Keskin
- Necmettin Erbakan University Meram School of Medicine, Department of Radiology, Konya, Turkey
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Bao H, Cao J, Chen M, Chen M, Chen W, Chen X, Chen Y, Chen Y, Chen Y, Chen Z, Chhetri JK, Ding Y, Feng J, Guo J, Guo M, He C, Jia Y, Jiang H, Jing Y, Li D, Li J, Li J, Liang Q, Liang R, Liu F, Liu X, Liu Z, Luo OJ, Lv J, Ma J, Mao K, Nie J, Qiao X, Sun X, Tang X, Wang J, Wang Q, Wang S, Wang X, Wang Y, Wang Y, Wu R, Xia K, Xiao FH, Xu L, Xu Y, Yan H, Yang L, Yang R, Yang Y, Ying Y, Zhang L, Zhang W, Zhang W, Zhang X, Zhang Z, Zhou M, Zhou R, Zhu Q, Zhu Z, Cao F, Cao Z, Chan P, Chen C, Chen G, Chen HZ, Chen J, Ci W, Ding BS, Ding Q, Gao F, Han JDJ, Huang K, Ju Z, Kong QP, Li J, Li J, Li X, Liu B, Liu F, Liu L, Liu Q, Liu Q, Liu X, Liu Y, Luo X, Ma S, Ma X, Mao Z, Nie J, Peng Y, Qu J, Ren J, Ren R, Song M, Songyang Z, Sun YE, Sun Y, Tian M, Wang S, Wang S, Wang X, Wang X, Wang YJ, Wang Y, Wong CCL, Xiang AP, Xiao Y, Xie Z, Xu D, Ye J, Yue R, Zhang C, Zhang H, Zhang L, Zhang W, Zhang Y, Zhang YW, Zhang Z, Zhao T, Zhao Y, Zhu D, Zou W, Pei G, Liu GH. Biomarkers of aging. SCIENCE CHINA. LIFE SCIENCES 2023; 66:893-1066. [PMID: 37076725 PMCID: PMC10115486 DOI: 10.1007/s11427-023-2305-0] [Citation(s) in RCA: 69] [Impact Index Per Article: 69.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Accepted: 02/27/2023] [Indexed: 04/21/2023]
Abstract
Aging biomarkers are a combination of biological parameters to (i) assess age-related changes, (ii) track the physiological aging process, and (iii) predict the transition into a pathological status. Although a broad spectrum of aging biomarkers has been developed, their potential uses and limitations remain poorly characterized. An immediate goal of biomarkers is to help us answer the following three fundamental questions in aging research: How old are we? Why do we get old? And how can we age slower? This review aims to address this need. Here, we summarize our current knowledge of biomarkers developed for cellular, organ, and organismal levels of aging, comprising six pillars: physiological characteristics, medical imaging, histological features, cellular alterations, molecular changes, and secretory factors. To fulfill all these requisites, we propose that aging biomarkers should qualify for being specific, systemic, and clinically relevant.
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Affiliation(s)
- Hainan Bao
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Jiani Cao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Mengting Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Min Chen
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China
| | - Wei Chen
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China
| | - Xiao Chen
- Department of Nuclear Medicine, Daping Hospital, Third Military Medical University, Chongqing, 400042, China
| | - Yanhao Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yu Chen
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Yutian Chen
- The Department of Endovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Zhiyang Chen
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China
| | - Jagadish K Chhetri
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
| | - Yingjie Ding
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Junlin Feng
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Jun Guo
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China
| | - Mengmeng Guo
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China
| | - Chuting He
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Yujuan Jia
- Department of Neurology, First Affiliated Hospital, Shanxi Medical University, Taiyuan, 030001, China
| | - Haiping Jiang
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Ying Jing
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Dingfeng Li
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China
| | - Jiaming Li
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jingyi Li
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Qinhao Liang
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China
| | - Rui Liang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China
| | - Feng Liu
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China
| | - Xiaoqian Liu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Zuojun Liu
- School of Life Sciences, Hainan University, Haikou, 570228, China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632, China
| | - Jianwei Lv
- School of Life Sciences, Xiamen University, Xiamen, 361102, China
| | - Jingyi Ma
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China
| | - Kehang Mao
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China
| | - Jiawei Nie
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
| | - Xinhua Qiao
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xinpei Sun
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China
| | - Xiaoqiang Tang
- Key Laboratory of Birth Defects and Related Diseases of Women and Children of MOE, State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China
| | - Jianfang Wang
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Qiaoran Wang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Siyuan Wang
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China
| | - Xuan Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China
| | - Yaning Wang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Yuhan Wang
- University of Chinese Academy of Sciences, Beijing, 100049, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China
| | - Rimo Wu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China
| | - Kai Xia
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Fu-Hui Xiao
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China
| | - Lingyan Xu
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China
| | - Yingying Xu
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China
| | - Haoteng Yan
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China
| | - Liang Yang
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China
| | - Ruici Yang
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China
| | - Yuanxin Yang
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China
| | - Yilin Ying
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China
| | - Le Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China
| | - Weiwei Zhang
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China
| | - Wenwan Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Xing Zhang
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China
| | - Zhuo Zhang
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Min Zhou
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, China
| | - Qingchen Zhu
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Zhengmao Zhu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China
| | - Feng Cao
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, National Clinical Research Center for Geriatric Diseases, Beijing, 100853, China.
| | - Zhongwei Cao
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Piu Chan
- National Clinical Research Center for Geriatric Diseases, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
| | - Chang Chen
- National Laboratory of Biomacromolecules, CAS Center for Excellence in Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Guobing Chen
- Department of Microbiology and Immunology, School of Medicine, Jinan University, Guangzhou, 510632, China.
- Guangdong-Hong Kong-Macau Great Bay Area Geroscience Joint Laboratory, Guangzhou, 510000, China.
| | - Hou-Zao Chen
- Department of Biochemistryand Molecular Biology, State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100005, China.
| | - Jun Chen
- Peking University Research Center on Aging, Beijing Key Laboratory of Protein Posttranslational Modifications and Cell Function, Department of Biochemistry and Molecular Biology, Department of Integration of Chinese and Western Medicine, School of Basic Medical Science, Peking University, Beijing, 100191, China.
| | - Weimin Ci
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
| | - Bi-Sen Ding
- State Key Laboratory of Biotherapy, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
| | - Qiurong Ding
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Feng Gao
- Key Laboratory of Ministry of Education, School of Aerospace Medicine, Fourth Military Medical University, Xi'an, 710032, China.
| | - Jing-Dong J Han
- Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, 100871, China.
| | - Kai Huang
- Clinic Center of Human Gene Research, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Clinical Research Center of Metabolic and Cardiovascular Disease, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Hubei Key Laboratory of Metabolic Abnormalities and Vascular Aging, Huazhong University of Science and Technology, Wuhan, 430022, China.
- Department of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
| | - Zhenyu Ju
- Key Laboratory of Regenerative Medicine of Ministry of Education, Institute of Ageing and Regenerative Medicine, Jinan University, Guangzhou, 510632, China.
| | - Qing-Peng Kong
- CAS Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650223, China.
- State Key Laboratory of Genetic Resources and Evolution, Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Key Laboratory of Healthy Aging Study, KIZ/CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, China.
| | - Ji Li
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- Hunan Key Laboratory of Aging Biology, Xiangya Hospital, Central South University, Changsha, 410008, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, 410008, China.
| | - Jian Li
- The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology of National Health Commission, Beijing, 100730, China.
| | - Xin Li
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Baohua Liu
- School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen, 518060, China.
| | - Feng Liu
- Metabolic Syndrome Research Center, The Second Xiangya Hospital, Central South Unversity, Changsha, 410011, China.
| | - Lin Liu
- Department of Genetics and Cell Biology, College of Life Science, Nankai University, Tianjin, 300071, China.
- Haihe Laboratory of Cell Ecosystem, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, 300020, China.
- Institute of Translational Medicine, Tianjin Union Medical Center, Nankai University, Tianjin, 300000, China.
- State Key Laboratory of Medicinal Chemical Biology, Nankai University, Tianjin, 300350, China.
| | - Qiang Liu
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230036, China.
| | - Qiang Liu
- Department of Neurology, Tianjin Neurological Institute, Tianjin Medical University General Hospital, Tianjin, 300052, China.
- Tianjin Institute of Immunology, Tianjin Medical University, Tianjin, 300070, China.
| | - Xingguo Liu
- CAS Key Laboratory of Regenerative Biology, Joint School of Life Sciences, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou Medical University, Guangzhou, 510530, China.
| | - Yong Liu
- College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University, Wuhan, 430072, China.
| | - Xianghang Luo
- Department of Endocrinology, Endocrinology Research Center, Xiangya Hospital of Central South University, Changsha, 410008, China.
| | - Shuai Ma
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Xinran Ma
- Shanghai Key Laboratory of Regulatory Biology, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, 200241, China.
| | - Zhiyong Mao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Clinical and Translational Research Center of Shanghai First Maternity and Infant Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Jing Nie
- The State Key Laboratory of Organ Failure Research, National Clinical Research Center of Kidney Disease, Division of Nephrology, Nanfang Hospital, Southern Medical University, Guangzhou, 510515, China.
| | - Yaojin Peng
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jing Qu
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Jie Ren
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Ruibao Ren
- Shanghai Institute of Hematology, State Key Laboratory for Medical Genomics, National Research Center for Translational Medicine (Shanghai), International Center for Aging and Cancer, Collaborative Innovation Center of Hematology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Center for Aging and Cancer, Hainan Medical University, Haikou, 571199, China.
| | - Moshi Song
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Zhou Songyang
- MOE Key Laboratory of Gene Function and Regulation, Guangzhou Key Laboratory of Healthy Aging Research, School of Life Sciences, Institute of Healthy Aging Research, Sun Yat-sen University, Guangzhou, 510275, China.
- Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, 510120, China.
| | - Yi Eve Sun
- Stem Cell Translational Research Center, Tongji Hospital, Tongji University School of Medicine, Shanghai, 200065, China.
| | - Yu Sun
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Department of Medicine and VAPSHCS, University of Washington, Seattle, WA, 98195, USA.
| | - Mei Tian
- Human Phenome Institute, Fudan University, Shanghai, 201203, China.
| | - Shusen Wang
- Research Institute of Transplant Medicine, Organ Transplant Center, NHC Key Laboratory for Critical Care Medicine, Tianjin First Central Hospital, Nankai University, Tianjin, 300384, China.
| | - Si Wang
- Beijing Municipal Geriatric Medical Research Center, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Aging Translational Medicine Center, International Center for Aging and Cancer, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
| | - Xia Wang
- School of Pharmaceutical Sciences, Tsinghua University, Beijing, 100084, China.
| | - Xiaoning Wang
- Institute of Geriatrics, The second Medical Center, Beijing Key Laboratory of Aging and Geriatrics, National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
| | - Yan-Jiang Wang
- Department of Neurology and Center for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
| | - Yunfang Wang
- Hepatobiliary and Pancreatic Center, Medical Research Center, Beijing Tsinghua Changgung Hospital, Beijing, 102218, China.
| | - Catherine C L Wong
- Clinical Research Institute, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science & Peking Union Medical College, Beijing, 100730, China.
| | - Andy Peng Xiang
- Center for Stem Cell Biologyand Tissue Engineering, Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Sun Yat-sen University, Guangzhou, 510080, China.
- National-Local Joint Engineering Research Center for Stem Cells and Regenerative Medicine, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Yichuan Xiao
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Zhengwei Xie
- Peking University International Cancer Institute, Health Science Center, Peking University, Beijing, 100101, China.
- Beijing & Qingdao Langu Pharmaceutical R&D Platform, Beijing Gigaceuticals Tech. Co. Ltd., Beijing, 100101, China.
| | - Daichao Xu
- Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 201210, China.
| | - Jing Ye
- Department of Geriatrics, Medical Center on Aging of Shanghai Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200025, China.
- International Laboratory in Hematology and Cancer, Shanghai Jiao Tong University School of Medicine/Ruijin Hospital, Shanghai, 200025, China.
| | - Rui Yue
- Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
| | - Cuntai Zhang
- Gerontology Center of Hubei Province, Wuhan, 430000, China.
- Institute of Gerontology, Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Hongbo Zhang
- Key Laboratory for Stem Cells and Tissue Engineering, Ministry of Education, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
- Advanced Medical Technology Center, The First Affiliated Hospital, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China.
| | - Liang Zhang
- CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Weiqi Zhang
- CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
| | - Yong Zhang
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Yun-Wu Zhang
- Fujian Provincial Key Laboratory of Neurodegenerative Disease and Aging Research, Institute of Neuroscience, School of Medicine, Xiamen University, Xiamen, 361102, China.
| | - Zhuohua Zhang
- Key Laboratory of Molecular Precision Medicine of Hunan Province and Center for Medical Genetics, Institute of Molecular Precision Medicine, Xiangya Hospital, Central South University, Changsha, 410078, China.
- Department of Neurosciences, Hengyang Medical School, University of South China, Hengyang, 421001, China.
| | - Tongbiao Zhao
- State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
| | - Yuzheng Zhao
- Optogenetics & Synthetic Biology Interdisciplinary Research Center, State Key Laboratory of Bioreactor Engineering, Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, School of Pharmacy, East China University of Science and Technology, Shanghai, 200237, China.
- Research Unit of New Techniques for Live-cell Metabolic Imaging, Chinese Academy of Medical Sciences, Beijing, 100730, China.
| | - Dahai Zhu
- Bioland Laboratory (Guangzhou Regenerative Medicine and Health Guangdong Laboratory), Guangzhou, 510005, China.
- The State Key Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Weiguo Zou
- State Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Gang Pei
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Biomedicine, The Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai, 200070, China.
| | - Guang-Hui Liu
- University of Chinese Academy of Sciences, Beijing, 100049, China.
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
- Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, Beijing, 100101, China.
- Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
- Advanced Innovation Center for Human Brain Protection, and National Clinical Research Center for Geriatric Disorders, Xuanwu Hospital Capital Medical University, Beijing, 100053, China.
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Muñoz-Cabrejas A, Laclaustra M, Guallar-Castillón P, Sánchez-Recio R, Jarauta E, Casasnovas JA, Moreno-Franco B. Association of beverage consumption with subclinical atherosclerosis in a Spanish working population. Sci Rep 2023; 13:6509. [PMID: 37081095 PMCID: PMC10119384 DOI: 10.1038/s41598-023-33456-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 04/13/2023] [Indexed: 04/22/2023] Open
Abstract
Beverages play a substantial role meeting water, calorie, and nutrient requirements; however, they are presented as being major contributors to the current obesity epidemic. Although, the relationship between beverage consumption and metabolic risk factors for cardiovascular disease (CVD) in adults has been frequently studied, its association with subclinical atherosclerosis is of increased interest. We studied the association of beverage consumption with the presence of peripheral subclinical atherosclerosis among Spanish workers. We performed a cross-sectional study of 2089 middle-aged males, with a mean age of 50.9 (SD 3.9), and without CVD, carried out in the Aragon Workers' Health Study (AWHS). A food frequency questionnaire was used to measure beverage consumption of low-fat milk, coffee and tea (unsweetened), whole-fat milk, sugar-sweetened beverages, bottled fruit juice, artificially-sweetened beverages and 100% fruit juice. Atherosclerotic plaques were measured by ultrasound (in carotid arteries, and in femoral arteries). Atherosclerotic plaque was defined as a focal structure protruding ≥ 0.5 mm into the lumen, or reaching a thickness ≥ 50% of the surrounding intima-media thickness. As statistical analysis, we use logistic regression models, simultaneously adjusted for all beverage groups. As results, unsweetened coffee was the beverage most associated with peripheral subclinical atherosclerosis with an odds ratio (OR) of 1.25 (1.10-1.41), and 1.23 (1.09-1.40) 100g/day] for carotid, and femoral territories respectively. Moreover, subclinical atherosclerosis was positively associated with whole-fat milk [OR 1.10 (1.02-1.18) 100 g/day] in the femoral territory. The association was protective for low-fat milk in the carotid territory [OR 0.93 (0.88-0.99) 100g/day]. There was also a protective association with bottled fruit juices in the femoral territory [0.84 (0.74-0.94) 100g/day]. Our results suggest a detrimental association with the consumption of coffee, as well as with whole-fat milk and the presence of subclinical atherosclerosis. Therefore, an element of prudence excluding water and low-fat milk, must be applied when recommending beverage consumption.
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Affiliation(s)
- Ainara Muñoz-Cabrejas
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009, Zaragoza, Spain
- Department of Preventive Medicine and Public Health, Universidad de Zaragoza, C/Domingo Miral S/N, 50009, Zaragoza, Spain
| | - Martín Laclaustra
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009, Zaragoza, Spain.
- Department of Medicine, Psychiatry and Dermatology, Universidad de Zaragoza, C/Domingo Miral S/N, 50009, Zaragoza, Spain.
- CIBERCV (CIBER de Enfermedades Cardiovasculares), 28029, Madrid, Spain.
| | - Pilar Guallar-Castillón
- Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, 28029, Madrid, Spain
- CIBERESP (CIBER de Epidemiología y Salud Pública), 28029, Madrid, Spain
- IMDEA-Food Institute. CEI UAM+CSIC, 28049, Madrid, Spain
| | - Raquel Sánchez-Recio
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009, Zaragoza, Spain
- Department of Preventive Medicine and Public Health, Universidad de Zaragoza, C/Domingo Miral S/N, 50009, Zaragoza, Spain
| | - Estíbaliz Jarauta
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009, Zaragoza, Spain
- Department of Medicine, Psychiatry and Dermatology, Universidad de Zaragoza, C/Domingo Miral S/N, 50009, Zaragoza, Spain
- CIBERCV (CIBER de Enfermedades Cardiovasculares), 28029, Madrid, Spain
| | - José Antonio Casasnovas
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009, Zaragoza, Spain
- Department of Medicine, Psychiatry and Dermatology, Universidad de Zaragoza, C/Domingo Miral S/N, 50009, Zaragoza, Spain
- CIBERCV (CIBER de Enfermedades Cardiovasculares), 28029, Madrid, Spain
| | - Belén Moreno-Franco
- Instituto de Investigación Sanitaria Aragón, Hospital Universitario Miguel Servet, 50009, Zaragoza, Spain.
- Department of Preventive Medicine and Public Health, Universidad de Zaragoza, C/Domingo Miral S/N, 50009, Zaragoza, Spain.
- CIBERCV (CIBER de Enfermedades Cardiovasculares), 28029, Madrid, Spain.
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Koskinen JS, Kytö V, Juonala M, Viikari JSA, Nevalainen J, Kähönen M, Lehtimäki T, Hutri‐Kähönen N, Laitinen TP, Tossavainen P, Jokinen E, Magnussen CG, Raitakari OT. Childhood Dyslipidemia and Carotid Atherosclerotic Plaque in Adulthood: The Cardiovascular Risk in Young Finns Study. J Am Heart Assoc 2023; 12:e027586. [PMID: 36927037 PMCID: PMC10122878 DOI: 10.1161/jaha.122.027586] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 01/12/2023] [Indexed: 03/18/2023]
Abstract
Background Childhood exposure to dyslipidemia is associated with adult atherosclerosis, but it is unclear whether the long-term risk associated with dyslipidemia is attenuated on its resolution by adulthood. We aimed to address this question by examining the links between childhood and adult dyslipidemia on carotid atherosclerotic plaques in adulthood. Methods and Results The Cardiovascular Risk in Young Finns Study is a prospective follow-up of children that began in 1980. Since then, follow-up studies have been conducted regularly. In 2001 and 2007, carotid ultrasounds were performed on 2643 participants at the mean age of 36 years to identify carotid plaques and plaque areas. For childhood lipids, we exploited several risk factor measurements to determine the individual cumulative burden for each lipid during childhood. Participants were categorized into the following 4 groups based on their childhood and adult dyslipidemia status: no dyslipidemia (reference), incident, resolved, and persistent. Among individuals with carotid plaque, linear regression models were used to study the association of serum lipids with plaque area. The prevalence of plaque was 3.3% (N=88). In models adjusted for age, sex, and nonlipid cardiovascular risk factors, the relative risk for carotid plaque was 2.34 (95% CI, 0.91-6.00) for incident adult dyslipidemia, 3.00 (95% CI, 1.42-6.34) for dyslipidemia resolved by adulthood, and 5.23 (95% CI, 2.57-10.66) for persistent dyslipidemia. Carotid plaque area correlated with childhood total, low-density lipoprotein, and non-high-density lipoprotein cholesterol levels. Conclusions Childhood dyslipidemia, even if resolved by adulthood, is a risk factor for adult carotid plaque. Furthermore, among individuals with carotid plaque, childhood lipids associate with plaque size. These findings highlight the importance of primordial prevention of dyslipidemia in childhood to reduce atherosclerosis development.
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Affiliation(s)
- Juhani S. Koskinen
- Research Centre of Applied and Preventive Cardiovascular MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchUniversity of Turku and Turku University HospitalTurkuFinland
- Division of MedicineTurku University HospitalTurkuFinland
- Department of MedicineSatakunta Central HospitalPoriFinland
| | - Ville Kytö
- Research Centre of Applied and Preventive Cardiovascular MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchUniversity of Turku and Turku University HospitalTurkuFinland
- Heart CentreTurku University Hospital and University of TurkuTurkuFinland
| | - Markus Juonala
- Research Centre of Applied and Preventive Cardiovascular MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchUniversity of Turku and Turku University HospitalTurkuFinland
- Division of MedicineTurku University HospitalTurkuFinland
- Department of MedicineUniversity of TurkuTurkuFinland
| | - Jorma S. A. Viikari
- Division of MedicineTurku University HospitalTurkuFinland
- Department of MedicineUniversity of TurkuTurkuFinland
| | | | - Mika Kähönen
- Department of Clinical PhysiologyTampere University HospitalTampereFinland
- Faculty of Medicine and Health Technology and Finnish Cardiovascular Research Center TampereTampere UniversityTampereFinland
| | - Terho Lehtimäki
- Faculty of Medicine and Health Technology and Finnish Cardiovascular Research Center TampereTampere UniversityTampereFinland
- Department of Clinical ChemistryFimlab LaboratoriesTampereFinland
| | - Nina Hutri‐Kähönen
- Tampere Centre for Skills Training and SimulationTampere University, Faculty of Medicine and Health TechnologyTampereFinland
| | - Tomi P. Laitinen
- Department of Clinical Physiology and Nuclear MedicineKuopio University HospitalKuopioFinland
- Institute of Clinical MedicineUniversity of Eastern FinlandKuopioFinland
| | - Päivi Tossavainen
- Department of Pediatrics and Adolescent MedicineOulu University HospitalOuluFinland
- PEDEGO Research UnitUniversity of OuluOuluFinland
| | - Eero Jokinen
- Department of PediatricsUniversity of HelsinkiFinland
- Hospital for Children and AdolescentsHelsinki University HospitalHelsinkiFinland
| | - Costan G. Magnussen
- Research Centre of Applied and Preventive Cardiovascular MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchUniversity of Turku and Turku University HospitalTurkuFinland
- Baker Heart and Diabetes InstituteMelbourneVictoriaAustralia
| | - Olli T. Raitakari
- Research Centre of Applied and Preventive Cardiovascular MedicineUniversity of TurkuTurkuFinland
- Centre for Population Health ResearchUniversity of Turku and Turku University HospitalTurkuFinland
- Department of Clinical Physiology and Nuclear MedicineTurku University HospitalTurkuFinland
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Costo-Muriel C, Calderón-García JF, Rico-Martín S, Sánchez-Bacaicoa C, Escudero-Sánchez G, Galán-González J, Rodríguez-Velasco FJ, Sánchez Muñoz-Torrero JF. Association of Subclinical Carotid Atherosclerosis Assessed by High-Resolution Ultrasound With Traditional and Novel Anthropometric Indices. Curr Probl Cardiol 2023; 48:101574. [PMID: 36584728 DOI: 10.1016/j.cpcardiol.2022.101574] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Accepted: 12/23/2022] [Indexed: 12/29/2022]
Abstract
Novel anthropometric indices have been proposed as an alternative to body mass index (BMI) and waist circumference (WC) to determine visceral adipose tissue and body mass. Little is known about the relationship of these new anthropometric indices to subclinical carotid atherosclerosis. The objective of this study was to assess the association of anthropometric indices, both new and traditional, with the presence of subclinical carotid artery arteriosclerosis (SCAA) estimated by Doppler ultrasound. This cross-sectional study analyzed 788 Spanish patients who consecutively attended a vascular risk consultation between June 2021 and September 2022. Traditional anthropometric indices (BMI, WHR and WHtR) and novel indices (ABSI, AVI, BAI, BRI, CI, CUNBAE and WWI) were calculated, and Doppler ultrasound in the carotid artery (cIMT and atherosclerosis plaque) was performed to detect SCAA. All analyzed anthropometric indices, except BMI, BAI and CUNBAE, were significantly higher in patients with SCAA. ABSI, BRI, CI, WHR, WHtR and WWI and were associated with SCAA in the univariate analysis (p<0.05); however, only ABSI (adjusted OR: 1.15; 95% CI: 1.10-2.38; p= 0.042) was significantly associated with SCAA in the multivariate analysis. In conclusion, only ABSI was significantly positively associated with SCAA, independent of other confounders.
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Affiliation(s)
- Clara Costo-Muriel
- Department of Internal Medicine, Hospital Comarcal de la AXARQUÍA, Málaga, Spain
| | - Julián F Calderón-García
- Department of Nursing, Nursing and Occupational Therapy College, University of Extremadura, Cáceres, Spain
| | - Sergio Rico-Martín
- Department of Nursing, Nursing and Occupational Therapy College, University of Extremadura, Cáceres, Spain.
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Sun J, Meng X, Huang H, Jing J, Pan Y, Mei L, Jin A, Wang Y, Wei T, Cai X. Higher visceral adiposity index and lipid accumulation product in relation to increased risk of atherosclerotic burden in community-dwelling older adults. Exp Gerontol 2023; 174:112115. [PMID: 36758647 DOI: 10.1016/j.exger.2023.112115] [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: 10/13/2022] [Revised: 02/02/2023] [Accepted: 02/02/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND AND AIMS Visceral adiposity index (VAI) and lipid accumulation product (LAP), as anthropometric indices, have been applied to predict the risk of cardiovascular diseases (CVD). However, few studies investigated the correlation between these two indicators and cardio-cerebro-vascular atherosclerosis in community populations. Our study was to explore the association of VAI and LAP with coronary, intracranial and extracranial atherosclerosis in a community-based asymptomatic middle-aged and older population. METHODS Participants without a history of CVD in the study of PRECISE (Polyvascular Evaluation for Cognitive Impairment and Vascular Events) were included. The sex-special indicators of VAI and LAP were calculated and stratified by the tertiles. The presence of plaque and coronary segmental stenosis score (SSS) were assessed by coronary computed tomography (CTA), as well as intracranial and extracranial atherosclerotic burden were evaluated by high-resolution magnetic resonance imaging (HR-MRI), respectively. Binary or ordinal logistic regression was conducted to assess the association between each of the indexes and the presence and burden of atherosclerosis. RESULTS A total of 2875 subjects were included in the final analysis. The mean age was 60.9 ± 6.6 years and 1329 (46.2 %) participants were males. Compared with the first tertile of VAI, the higher tertile was associated with the presence of plaques (T3 vs T1, OR, 1.49, 95%CI, 1.12-1.98, for males; OR, 1.64, 95%CI, 1.24-2.17, for females) and atherosclerotic burden (T3 vs T1, adjusted cOR, 1.63, 95%CI, 1.24-2.14, for males; adjusted cOR, 1.70, 95%CI, 1.29-2.24, for females) in major coronary arteries. A similar association was found for LAP. VAI level has presented an association with the extracranial atherosclerotic plaques (T3 vs T1, OR, 1.34, 95%CI, 1.02-1.77) and burden (T3 vs T1, adjusted cOR 1.32, 95 % CI 1.00-1.73) only in females. Whereas, for intracranial atherosclerosis, the results failed to show any statistically significant association. CONCLUSIONS Among community-dwelling asymptomatic older adults, VAI and LAP were associated with the presence and burden of coronary atherosclerotic plaques, while VAI presented a weaker significant association with extracranial atherosclerosis in females.
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Affiliation(s)
- Jingping Sun
- Department of Neurology, the Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Xia Meng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Huifen Huang
- Department of Neurology, the Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Jing Jing
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yuesong Pan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Lerong Mei
- Department of Neurology, the Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China
| | - Aoming Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Tiemin Wei
- Department of Cardiology, the Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China.
| | - Xueli Cai
- Department of Neurology, the Central Hospital of Lishui, Lishui Hospital of Zhejiang University, Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China; Lishui Clinical Research Center for Neurological Diseases, Lishui, Zhejiang, China.
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Madenidou AV, Mavrogeni S, Nikiphorou E. Cardiovascular Disease and Cardiac Imaging in Inflammatory Arthritis. Life (Basel) 2023; 13:life13040909. [PMID: 37109438 PMCID: PMC10143346 DOI: 10.3390/life13040909] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/23/2023] [Accepted: 03/27/2023] [Indexed: 04/01/2023] Open
Abstract
Cardiovascular morbidity and mortality are more prevalent in inflammatory arthritis (IA) compared to the general population. Recognizing the importance of addressing this issue, the European League Against Rheumatism (EULAR) published guidelines on cardiovascular disease (CVD) risk management in IA in 2016, with plans to update going forward based on the latest emerging evidence. Herein we review the latest evidence on cardiovascular disease in IA, taking a focus on rheumatoid arthritis, psoriatic arthritis, and axial spondylarthritis, reflecting on the scale of the problem and imaging modalities to identify disease. Evidence demonstrates that both traditional CVD factors and inflammation contribute to the higher CVD burden. Whereas CVD has decreased with the newer anti-rheumatic treatments currently available, CVD continues to remain an important comorbidity in IA patients calling for prompt screening and management of CVD and related risk factors. Non-invasive cardiovascular imaging has been attracting much attention in view of the possibility of detecting cardiovascular lesions in IA accurately and promptly, even at the pre-clinical stage. We reflect on imaging modalities to screen for CVD in IA and on the important role of rheumatologists and cardiologists working closely together.
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Implementing Carotid Ultrasonography in Optimizing Primary Cardiovascular Prevention Strategy: Has the Time Come? J Clin Med 2023; 12:jcm12062193. [PMID: 36983195 PMCID: PMC10053698 DOI: 10.3390/jcm12062193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 03/09/2023] [Indexed: 03/16/2023] Open
Abstract
The cardiovascular (CV) disease continuum begins from a cluster of CV risk factors, proceeds with the development of asymptomatic atherosclerotic lesions and ends with the occurrence of CV events [...]
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46
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Kwon SS, Lee H, Park BW, Kwon SH, Bang DW, Jeon JS, Noh H, Kim H. Association of glomerular hyperfiltration with carotid artery plaque in the general population. Atherosclerosis 2023; 369:30-36. [PMID: 36725419 DOI: 10.1016/j.atherosclerosis.2023.01.016] [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: 09/06/2022] [Revised: 12/30/2022] [Accepted: 01/18/2023] [Indexed: 01/26/2023]
Abstract
BACKGROUND AND AIMS Glomerular hyperfiltration (GHF) is a hemodynamic change of the kidney as an adaptive response to nephron loss. Although GHF is associated with metabolic risk factors and cardiovascular disease (CVD), the mechanisms that explain these relationships remain largely unknown. This is partially caused by a non-unified definition of GHF based on pathophysiologic vascular changes. Thus, the objective of this study was to evaluate the association between various definitions of GHF and carotid plaque in a health checkup cohort. METHODS A total of 4493 individuals without history of CVD who had carotid ultrasonography (USG) results available between January 2016 and June 2018 were enrolled. GHF was defined as >90th percentile of eGFR residuals after adjusting for confounding factors. Carotid plaque score was calculated based on carotid USG results. RESULTS Of 4493 individuals (mean age, 52.3 ± 10.1 years; 3224 [71.8%] males), 449 subjects were included in the GHF group (mean eGFR, 107.0 ± 7.1 ml/min/1.73 m2) and 4044 subjects were included in the non-GHF group (mean eGFR, 92.5 ± 12.3 ml/min/1.73 m2). When the GHF group was compared to the non-GHF group, GHF was associated with the presence of significant carotid plaque (carotid plaque score ≥2) (adjusted OR: 1.46; 95% CI: 1.16 to 1.83; p = 0.001). GHF defined in this study showed higher sensitivity to the presence of carotid plaque than other definitions of GHF. CONCLUSIONS GHF status was associated with risk of carotid plaque in individuals without history of CVD. Presence of subclinical carotid plaque was associated with risk of future CVD. Therefore, GHF based on creatinine could be a useful surrogate marker for surveillance of CVD in asymptomatic individuals.
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Affiliation(s)
- Seong Soon Kwon
- Division of Cardiology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Haekyung Lee
- Division of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea; Hyonam Kidney Laboratory, Soonchunhyang University Hospital, Seoul, Republic of Korea
| | - Byoung-Won Park
- Division of Cardiology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Soon Hyo Kwon
- Division of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea; Hyonam Kidney Laboratory, Soonchunhyang University Hospital, Seoul, Republic of Korea
| | - Duk Won Bang
- Division of Cardiology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Jin Seok Jeon
- Division of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea; Hyonam Kidney Laboratory, Soonchunhyang University Hospital, Seoul, Republic of Korea
| | - Hyunjin Noh
- Division of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea; Hyonam Kidney Laboratory, Soonchunhyang University Hospital, Seoul, Republic of Korea
| | - Hyoungnae Kim
- Division of Nephrology, Department of Internal Medicine, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea; Hyonam Kidney Laboratory, Soonchunhyang University Hospital, Seoul, Republic of Korea.
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Shah N, Reid M, Mani V, Kundel V, Kaplan RC, Kizer JR, Fayad ZA, Shea S, Redline S. Sleep apnea and carotid atherosclerosis in the Multi-Ethnic Study of Atherosclerosis (MESA): leveraging state-of-the-art vascular imaging. THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING 2023; 39:621-630. [PMID: 36316593 DOI: 10.1007/s10554-022-02743-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 10/07/2022] [Indexed: 11/05/2022]
Abstract
PURPOSE To further characterize the relationship between obstructive sleep apnea (OSA) and carotid atherosclerosis, we examined the structural and metabolic features of carotid plaque using hybrid 18-F-fluorodeoxyglucose (FDG) Positron Emission Tomography/Magnetic Resonance Imaging (PET/MRI) in the Multi-Ethnic Study of Atherosclerosis (MESA). METHODS We studied 46 individuals from the MESA-PET and MESA-Sleep ancillary studies. OSA was defined as an apnea hypopnea index [AHI] ≥ 15 events per hour (4% desaturation). PET/MRI was used to measure carotid plaque inflammation (using target-to-background-ratios [TBR]) and carotid wall thickness (CWT). Linear regression was used to assess the associations between OSA, CWT and TBR. RESULTS The mean age was 67.9 years (SD 8.53) and the mean BMI was 28.9 kg/m2 (SD 4.47). There was a trend toward a higher mean CWT in the OSA (n = 11) vs. non-OSA group (n = 35), 1.51 vs. 1.41 (p = 0.098). TBR did not differ by OSA groups, and there was no significant association between OSA and carotid plaque inflammation (TBR) in adjusted analyses. Although there was a significant interaction between OSA and obesity, there were no statistically significant associations between OSA and vascular inflammation in stratified analysis by obesity. CONCLUSION Despite a trend toward a higher carotid wall thickness in OSA vs. non-OSA participants, we did not find an independent association between OSA and carotid plaque inflammation using PET/MRI in MESA. Our findings suggest that simultaneous assessments of structural and metabolic features of atherosclerosis may fill current knowledge gaps pertaining to the influence of OSA on atherosclerosis prevalence and progression.
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Affiliation(s)
- Neomi Shah
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Michelle Reid
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | - Venkatesh Mani
- Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Vaishnavi Kundel
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.,Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Jorge R Kizer
- Departments of Medicine, Epidemiology and Biostatistics, San Francisco Veterans Affairs Health Care System and University of California San Francisco, San Francisco, CA, USA
| | - Zahi A Fayad
- Biomedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Steven Shea
- Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, and Department of Epidemiology, Mailman School of Public Health, New York, NY, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
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Ramírez-Torres JM, López-Téllez A, Ariza MJ, Rioja J, García-Casares N, Rodríguez EEG, García JAR, Chaparro MAS, Barbancho MA, Valdivielso P. Subclinical atherosclerosis burden in non-diabetic hypertensives treated in primary care center: the IMTABI study. BMC PRIMARY CARE 2023; 24:43. [PMID: 36759767 PMCID: PMC9912653 DOI: 10.1186/s12875-023-01997-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Accepted: 01/30/2023] [Indexed: 02/11/2023]
Abstract
BACKGROUND Identifying patients at high risk of cardiovascular disease in primary prevention is a challenging task. This study aimed at detecting subclinical atherosclerosis burden in non-diabetic hypertensive patients in a primary care centre. METHODS Clinical, anthropometric and analytical data were collected from patients with hypertension who were free from clinical vascular disease and diabetes. The cardiovascular risk was assessed using the SCORE system. Subclinical atherosclerosis burden was assessed by carotid ultrasonography (intima-medial thickness [IMT] and plaque) and measurement of the ankle-brachial index (ABI). RESULTS Out of 140 patients, 59 (42%) have carotid plaque, 32 (23%) have IMT higher than 75% and 12 (9%) have an ABI < 0.9. Total atherosclerosis burden was present in 91 (65%) of the subjects. Consequently, 59 (42%) patients were re-classified into the very high-risk category. In multivariate analyses, smoking, creatinine levels and duration of hypertension were associated with atherosclerosis burden. In contrast, only smoking and age were associated with the presence of carotid plaque. Almost 90% of patients were treated with hypotensive drugs, half of them combined several drugs and 60% were well-controlled. Only 30% received statins in monotherapy and only less than 20% had an LDL cholesterol < 100 mg/dL. CONCLUSIONS In non-diabetic hypertensive patients managed at a primary care centre, 4 out of 10 had subclinical atherosclerosis burden and were re-classified into the very high- risk category. There was clear undertreatment with lipid-lowering drugs of most LDL cholesterol inappropriate levels, according to current clinical guidelines.
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Affiliation(s)
| | - Antonio López-Téllez
- grid.418355.eCentro de Salud Puerta Blanca, Servicio Andaluz de Salud, Málaga, Spain
| | - María J. Ariza
- grid.10215.370000 0001 2298 7828Lipids and Atherosclerosis Laboratory, Department of Medicine and Dermatology, Centro de Investigaciones Medico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - José Rioja
- grid.10215.370000 0001 2298 7828Lipids and Atherosclerosis Laboratory, Department of Medicine and Dermatology, Centro de Investigaciones Medico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | - Natalia García-Casares
- grid.10215.370000 0001 2298 7828Lipids and Atherosclerosis Laboratory, Department of Medicine and Dermatology, Centro de Investigaciones Medico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain
| | | | | | - Miguel A. Sánchez Chaparro
- grid.10215.370000 0001 2298 7828Lipids and Atherosclerosis Laboratory, Department of Medicine and Dermatology, Centro de Investigaciones Medico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain ,grid.411062.00000 0000 9788 2492Servicio de Medicina Interna, Hospital Universitario Virgen de La Victoria, Málaga, Spain
| | - Miguel A. Barbancho
- grid.10215.370000 0001 2298 7828Departamento de Fisiología Humana, Universidad de Málaga, Málaga, Spain
| | - Pedro Valdivielso
- Lipids and Atherosclerosis Laboratory, Department of Medicine and Dermatology, Centro de Investigaciones Medico Sanitarias (CIMES), Instituto de Investigación Biomédica de Málaga (IBIMA), University of Málaga, Málaga, Spain. .,Servicio de Medicina Interna, Hospital Universitario Virgen de La Victoria, Málaga, Spain.
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Anbar R, Chaturvedi N, Eastwood SV, Tillin T, Hughes AD. Carotid atherosclerosis in people of European, South Asian and African Caribbean ethnicity in the Southall and Brent revisited study (SABRE). Front Cardiovasc Med 2023; 9:1002820. [PMID: 36762303 PMCID: PMC9902363 DOI: 10.3389/fcvm.2022.1002820] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Accepted: 12/20/2022] [Indexed: 01/26/2023] Open
Abstract
Background Atherosclerotic cardiovascular disease (ASCVD) risk differs by ethnicity. In comparison with Europeans (EA) South Asian (SA) people in UK experience higher risk of coronary heart disease (CHD) and stroke, while African Caribbean people have a lower risk of CHD but a higher risk of stroke. Aim To compare carotid atherosclerosis in EA, SA, and AC participants in the Southall and Brent Revisited (SABRE) study and establish if any differences were explained by ASCVD risk factors. Methods Cardiovascular risk factors were measured, and carotid ultrasound was performed in 985 individuals (438 EA, 325 SA, 228 AC). Carotid artery plaques and intima-media thickness (cIMT) were measured. Associations of carotid atherosclerosis with ethnicity were investigated using generalised linear models (GLMs), with and without adjustment for non-modifiable (age, sex) and modifiable risk factors (education, diabetes, hypertension, total cholesterol, HDL-C, alcohol consumption, current smoking). Results Prevalence of any plaque was similar in EA and SA, but lower in AC (16, 16, and 6%, respectively; p < 0.001). In those with plaque, total plaque area, numbers of plaques, plaque class, or greyscale median did not differ by ethnicity; adjustment for risk factors had minimal effects. cIMT was higher in AC than the other ethnic groups after adjustment for age and sex, adjustment for risk factors attenuated this difference. Conclusion Prevalence of carotid artery atherosclerotic plaques varies by ethnicity, independent of risk factors. Lower plaque prevalence in in AC is consistent with their lower risk of CHD but not their higher risk of stroke. Higher cIMT in AC may be explained by risk factors. The similarity of plaque burden in SA and EA despite established differences in ASCVD risk casts some doubt on the utility of carotid ultrasound as a means of assessing risk across these ethnic groups.
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Affiliation(s)
- Rayan Anbar
- MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom
- Department of Diagnostic Radiology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Nish Chaturvedi
- MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Sophie V. Eastwood
- MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Therese Tillin
- MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Alun D. Hughes
- MRC Unit for Lifelong Health and Ageing, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, University College London, London, United Kingdom
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Pillay P, Carter J, Taylor H, Lewington S, Clarke R. Independent Relevance of Different Measures of Adiposity for Carotid Intima-Media Thickness in 40 000 Adults in UK Biobank. J Am Heart Assoc 2023; 12:e026694. [PMID: 36625300 PMCID: PMC9939056 DOI: 10.1161/jaha.122.026694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 11/15/2022] [Indexed: 01/11/2023]
Abstract
Background Uncertainty persists about carotid intima-media thickness (CIMT) as a marker of subclinical atherosclerosis and the independent relevance of different measures of adiposity for CIMT. We assessed the independent relevance of general adiposity (body mass index), central adiposity (waist circumference), and body composition (fat mass index and fat-free mass index) with CIMT among adults in the United Kingdom. Methods and Results Multivariable linear regression of cross-sectional analyses of UK Biobank assessed the mean percentage difference in CIMT associated with equivalent differences in adiposity measures. To assess independent associations, body mass index and waist circumference were mutually adjusted, as were fat mass index and fat-free mass index. Among 39 367 participants (mean [SD] age 64 [8] years, 52% female, 97% White), median (interquartile range) CIMT was 0.65 (0.14) mm in women and 0.69 (0.18) mm in men. All adiposity measures were linearly and positively associated with CIMT after adjusting for confounders. Fat-free mass index was most strongly associated with CIMT after adjustment for fat mass index (% difference in CIMT: 1.23 [95% CI 0.93-1.53] women; 3.44 [3.01-3.86] men), while associations of fat mass index were attenuated after adjustment for fat-free mass index (0.28 [-0.02, 0.58] women; -0.59 [-0.99, -0.18] men). After mutual adjustment, body mass index remained positively associated with CIMT, but waist circumference was completely attenuated. Conclusions Fat-free mass index was the adiposity measure most strongly associated with CIMT, suggesting that CIMT may reflect vascular compensatory remodeling rather than atherosclerosis. Hence, screening for subclinical atherosclerosis should evaluate carotid plaques in addition to CIMT.
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Affiliation(s)
- Preyanka Pillay
- Nuffield Department of Population HealthUniversity of OxfordUK
| | - Jennifer Carter
- Nuffield Department of Population HealthUniversity of OxfordUK
| | - Hannah Taylor
- Nuffield Department of Population HealthUniversity of OxfordUK
| | - Sarah Lewington
- Nuffield Department of Population HealthUniversity of OxfordUK
| | - Robert Clarke
- Nuffield Department of Population HealthUniversity of OxfordUK
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