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Chen F, Lin H, Zhang Y, Zhang Y, Chen S. Investigating how blood cadmium levels influence cardiovascular health scores across sexes and dose responses. Front Public Health 2024; 12:1427905. [PMID: 39234072 PMCID: PMC11371710 DOI: 10.3389/fpubh.2024.1427905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2024] [Accepted: 08/07/2024] [Indexed: 09/06/2024] Open
Abstract
Background The association between exposure to cadmium (Cd) and cardiovascular health (CVH) has received considerable scientific interest. However, findings thus far have been inconclusive, particularly regarding sex-specific effects and dose-response relationships. The aim of our study was to investigate the relationships of blood Cd levels with the overall and component CVH scores. Methods We used data from the 2011-2018 NHANES to assess CVH using indicators such as BMI, blood pressure, lipid profiles, glucose levels, diet, physical activity, nicotine use, and sleep quality, each rated on a 0-100 scale. The overall CVH score was calculated as the average of these indicators. We employed both multiple linear and restricted cubic spline analyses to examine the relationship between blood Cd levels and CVH scores, including nonlinear patterns and subgroup-specific effects. Results Our analysis revealed that higher blood Cd levels were associated with lower overall CVH, nicotine exposure, sleep, and diet scores, with nonlinear decreases observed in overall CVH and nicotine exposure scores at specific thresholds (-1.447 and -1.752 log μg/dL, respectively). Notably, sex differences were evident; females experienced more adverse effects of Cd on CVH and lipid scores, while in males, Cd exposure was positively correlated with BMI, a link not observed in females. Conclusion Our study highlights the complex interplay between blood Cd levels and various aspects of CVH, revealing significant dose-response relationships and sex disparities. These findings enhance our understanding of the biobehavioral mechanisms linking Cd exposure to cardiovascular risk.
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Affiliation(s)
- Feng Chen
- Department of Child Healthcare, Wenzhou People's Hospital, Wenzhou, China
- Children's Heart Center, The Second Affiliated Hospital and Yuying Children's Hospital, Institute of Cardiovascular Development and Translational Medicine, Wenzhou Medical University, Wenzhou, China
| | - Hao Lin
- Department of Gastroenterology, Pingyang Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Yuansi Zhang
- Department of Traditional Chinese Medicine, Wenzhou Yebo Proctology Hospital, Wenzhou, China
| | - Yu Zhang
- Department of Child Healthcare, Wenzhou People's Hospital, Wenzhou, China
| | - Shaohe Chen
- Department of Child Healthcare, Wenzhou People's Hospital, Wenzhou, China
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ZHOU SY, LIU FC, CHEN SF, LI JX, CAO J, HUANG KY, TANG ZH, LIANG FC, HU DS, ZHAO LC, LI Y, HUANG JF, LU XF, LU B, GU DF. Life's essential 8 and risk of subclinical atherosclerosis progression: a prospective cohort study. J Geriatr Cardiol 2024; 21:751-759. [PMID: 39183952 PMCID: PMC11341528 DOI: 10.26599/1671-5411.2024.07.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/27/2024] Open
Abstract
BACKGROUND Previous studies have demonstrated the benefits of ideal cardiovascular health (CVH) in reducing cardiovascular risk. However, its role in subclinical atherosclerosis (SA) progression remains unclear. We aim to examine the association of CVH, estimated by the American Heart Association's new Life's Essential 8 (LE8), with the progression of SA. METHODS This prospective cohort study was conducted among 972 asymptomatic Chinese participants and followed up for 5.7 years. The LE8 score (range, 0-100) consisted of blood pressure, lipids, glucose, body mass index, smoking status, diet health, physical activity and sleep health was evaluated in 1998 and 2008-2009. Progression of SA was determined by carotid plaque and coronary artery calcification (CAC) in 2008-2009 and 2013-2014. Log-binomial regression model was used to estimate the association of LE8 score with SA progression. RESULTS Each 10 points increment in LE8 score was associated with 15.2% (RR: 0.848, 95% CI: 0.797-0.902), 17.7% (RR: 0.823, 95% CI: 0.766-0.884) and 12.0% (RR: 0.880, 95% CI: 0.845-0.916) lower risks of carotid plaque, CAC and overall SA progression, respectively. Compared with participants with non-ideal CVH at both visits, the participants with ideal CVH at both visits had 39.1% (RR: 0.609, 95% CI: 0.494-0.752), 41.0% (RR: 0.590, 95% CI: 0.456-0.764) and 29.7% (RR: 0.703, 95% CI: 0.598-0.825) lower risks of carotid plaque, CAC and overall SA progression, respectively. CONCLUSIONS Higher LE8 scores were associated with lower risks of SA progression. Besides, long-term maintenance of optimal CVH was more beneficial to prevent SA progression.
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Affiliation(s)
- Shi-Yu ZHOU
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Fang-Chao LIU
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Shu-Feng CHEN
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jian-Xin LI
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jie CAO
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Ke-Yong HUANG
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zheng-Hao TANG
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Feng-Chao LIANG
- School of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Dong-Sheng HU
- Department of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, China
- Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, China
| | - Lian-Cheng ZHAO
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Ying LI
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jian-Feng HUANG
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xiang-Feng LU
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Bin LU
- Department of Radiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Dong-Feng GU
- Department of Epidemiology & Key Laboratory of Cardiovascular Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- School of Public Health and Emergency Management, School of Medicine, Southern University of Science and Technology, Shenzhen, China
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Jain V, Rifai MA, Kanaya AM, Shah NS, Talegawkar SA, Virani SS, Michos ED, Blumenthal RS, Patel J. Association of cardiovascular health with subclinical coronary atherosclerosis progression among five racial and ethnic groups: The MASALA and MESA studies. Atherosclerosis 2024; 392:117522. [PMID: 38583288 PMCID: PMC11756715 DOI: 10.1016/j.atherosclerosis.2024.117522] [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: 10/23/2023] [Revised: 02/27/2024] [Accepted: 03/14/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND AND AIMS South Asian adults (SA) are at higher risk for atherosclerotic cardiovascular disease (ASCVD) compared with other racial/ethnic groups. Life's Simple 7 (LS7) is a guideline-recommended, cardiovascular health (CVH) construct to guide optimization of cardiovascular risk factors. We sought to assess if the LS7 metrics predict coronary artery calcium (CAC) incidence and progression in asymptomatic SA compared with four other racial/ethnic groups. METHODS We assessed the distribution of CVH metrics (inadequate: score 0-8, average: 9-10, optimal: 11-14, and per 1-unit higher score) and its association with incidence and progression of CAC among South Asians in the Mediators of Atherosclerosis in South Asians Living in America (MASALA) study compared with other race/ethnic groups from the Multiethnic Study of Atherosclerosis (MESA). RESULTS We included 810 SA, 2622 Non-Hispanic White (NHW), and 4192 Other adults (collectively 1893 Black, 1496 Hispanic and 803 Chinese American participants, respectively). SA and White participants compared to Other race/ethnicity groups were more likely to have optimal CVH metrics (26% SA vs 28% White participants vs 21% Other, respectively, p < 0.001). Similar to NHW and the Other race/ethnic group, SA participants with optimal baseline CVH were less likely to develop incident CAC on follow-up evaluation compared to participants with inadequate CVH metrics, optimal CVH/CAC = 0: 24% SA, 28% NHW, and 15% Other (p < 0.01). In multivariable linear and logistic regression models, there was no difference in annualized CAC incidence or progression between each race/ethnic group (pinteraction = 0.85 and pinteraction = 0.17, respectively). Optimal blood pressure control was associated with lower CAC incidence among SA participants [OR (95% CI): 0.30 (0.14-0.63), p < 0.01] and Other race and ethnicity participants [0.32 (0.19-0.53), p < 0.01]. CONCLUSIONS Optimal CVH metrics are associated with lower incident CAC and CAC progression among South Asians, similar to other racial groups/ethnicities. These findings underscore the importance of optimizing and maintaining CVH to mitigate the future risk of subclinical atherosclerosis in this higher risk population.
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Affiliation(s)
- Vardhmaan Jain
- Department of Cardiovascular Medicine, Emory University School of Medicine, GA, USA
| | - Mahmoud Al Rifai
- Department of Cardiovascular Medicine, Houston Methodist DeBakey Heart & Vascular Center, TX, USA
| | - Alka M Kanaya
- Department of Medicine, University of California, San Francisco, USA
| | - Nilay S Shah
- Division of Cardiology, Northwestern University Feinberg School of Medicine, IL, USA
| | - Sameera A Talegawkar
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, DC, USA
| | - Salim S Virani
- Department of Cardiovascular Medicine, Baylor College of Medicine, TX, USA & the Aga Khan University, Karachi, Pakistan
| | - Erin D Michos
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, MD, USA
| | - Roger S Blumenthal
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, MD, USA
| | - Jaideep Patel
- Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, MD, USA.
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Herraiz-Adillo Á, Higueras-Fresnillo S, Ahlqvist VH, Berglind D, Syrjälä MB, Daka B, Lenander C, Sundström J, Ortega FB, Östgren CJ, Rådholm K, Henriksson P. Life's Essential 8 and Life's Simple 7 in Relation to Coronary Atherosclerosis: Results From the Population-Based SCAPIS Project. Mayo Clin Proc 2024; 99:69-80. [PMID: 37843486 DOI: 10.1016/j.mayocp.2023.03.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 03/17/2023] [Accepted: 03/28/2023] [Indexed: 10/17/2023]
Abstract
OBJECTIVE To examine the associations between the American Heart Association scores ("Life's Essential 8" [LE8] and "Life's Simple 7" [LS7]) and 2 subclinical coronary atherosclerosis indicators: coronary computed tomographic angiography (CCTA)-stenosis and coronary artery calcium (CAC). PATIENTS AND METHODS We included a population-based sample, aged 50 to 64 years, recruited between 2013 and 2018 from the Swedish Cardiopulmonary Bioimage Study (n=24,819, 50.3% women). CCTA-stenosis was graded as no stenosis, stenosis (1%-49%) or severe stenosis (≥50%), whereas CAC was graded as 0, 1 to 99, 100 to 399, or ≥400 Agatston units. Multinomial logistic regression and receiver operating characteristic (ROC) curves were used to study the associations between cardiovascular health scores and subclinical coronary atherosclerosis. RESULTS Odds ratios (ORs) for CCTA-stenosis and severe CCTA-stenosis between the lowest (<50 points) vs the highest (≥80 points) LE8 group were 4.18 (95% CI, 3.56 to 4.91) and 11.17 (95% CI, 8.36 to 14.93), respectively. For corresponding CAC results, ORs were 3.36 (95% CI, 2.84 to 3.98), 7.72 (95% CI, 6.03 to 9.89), and 14.94 (95% CI, 10.47 to 21.31) for CAC scores of 1 to 99, 100 to 399, and ≥400, respectively. Area under ROC curves for predicting any stenosis were 0.642 (95% CI, 0.635 to 0.649) and 0.631 (95% CI, 0.624 to 0.638, P<.001) for LE8 and LS7, respectively. CONCLUSION Our data indicate that LE8 showed a strong, graded, and inverse association with CCTA-stenosis and CAC score. The capacity to predict CCTA-stenosis was comparable between LE8 and LS7, although LE8 had slightly higher prediction capacity of any stenosis. This study provides novel evidence that the LE8 score may be a useful tool for monitoring cardiovascular health.
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Affiliation(s)
- Ángel Herraiz-Adillo
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
| | - Sara Higueras-Fresnillo
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden; Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain
| | - Viktor H Ahlqvist
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Daniel Berglind
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden; Centre for Epidemiology and Community Medicine, Region Stockholm, SE-10431, Stockholm, Sweden
| | - Maria B Syrjälä
- Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden
| | - Bledar Daka
- School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Cecilia Lenander
- Department for Clinical Sciences in Malmö, Centre for Primary Health Care Research, Lund University, Lund, Sweden
| | - Johan Sundström
- Clinical Epidemiology Unit, Department of Medical Sciences, Uppsala University, Sweden; The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Francisco B Ortega
- Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain; Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland; CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain
| | - Carl-Johan Östgren
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden; Centre for Medical Image Science and Visualization (CMIV), Linköping University, Linköping, Sweden
| | - Karin Rådholm
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden; The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Pontus Henriksson
- Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
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Chen F, Zhang Y, Chen S. The inverted U-shaped relationship between weight loss percentage and cardiovascular health scores. Eat Weight Disord 2023; 28:87. [PMID: 37874416 PMCID: PMC10598164 DOI: 10.1007/s40519-023-01619-3] [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: 08/22/2023] [Accepted: 10/18/2023] [Indexed: 10/25/2023] Open
Abstract
PURPOSE Obesity is a significant risk factor for cardiovascular disease; however, the impact of weight loss on cardiovascular health (CVH) in individuals with specific obesity patterns remains incompletely understood. The objective of our study was to investigate the relationship weight loss percentage and CVH scores across individuals with various obesity patterns. METHODS Our study utilized data from the National Health and Nutrition Examination Survey conducted between 2007 and 2018, involving a total of 12,835 participants aged 16 years or older, to conduct a cross-sectional analysis. Multiple linear regression and multinomial logistic regression methods were used to assess the correlation between the weight loss percentage and the CVH scores. Additionally, restricted cubic spline analysis was employed to examine the nonlinear relationship between the two variables. RESULTS Compared to individuals with a weight loss percentage < 0%, participants with weight loss percentages of 0-5% and 5.1-10% showed improved CVH scores, with β values of 2.85 (95% CI 2.32-3.38) and 2.55 (95% CI 1.69-3.4), respectively. Regarding different obesity patterns, compared to participants with a weight loss percentage < 0%, participants with a weight loss percentage of 0-5% showed an increase in CVH scores in the normal weight and overweight/general obesity (OGO) groups, with β values of 1.45 (95% CI 0.7-2.19) and 1.22 (95% CI 0.46-1.97), respectively. Restricted cubic spline analysis revealed a significant inverted U-shaped relationship between the weight loss percentage and the CVH scores (with optimal CVH scores at 3%). CONCLUSIONS There was an inverted U-shaped relationship between weight loss percentage and CVH scores, with moderate weight loss (0-10%, optimal value of 3%) being associated with improved CVH scores, especially among individuals with OGO. LEVEL V Opinions of respected authorities, based on descriptive studies, narrative reviews, clinical experience, or reports of expert committees.
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Affiliation(s)
- Feng Chen
- Department of Child Healthcare, Wenzhou People's Hospital, Wenzhou, 325000, China
| | - Yu Zhang
- Department of Child Healthcare, Wenzhou People's Hospital, Wenzhou, 325000, China.
| | - Shaohe Chen
- Department of Child Healthcare, Wenzhou People's Hospital, Wenzhou, 325000, China.
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Wu S, Wu Z, Yu D, Chen S, Wang A, Wang A, Gao X. Life's Essential 8 and Risk of Stroke: A Prospective Community-Based Study. Stroke 2023; 54:2369-2379. [PMID: 37466001 DOI: 10.1161/strokeaha.123.042525] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 06/22/2023] [Indexed: 07/20/2023]
Abstract
BACKGROUND Data are lacking regarding cardiovascular health (CVH) with Life's Essential 8 approach and future stroke risk. We sought to elucidate whether the CVH score constructed by the Life's Essential 8 metrics predicted stroke risk in 2 Chinese ongoing cohorts. METHODS This included 41 043 participants of the Kailuan I study and 27 842 participants of the Kailuan II study who were free of cardiovascular disease or cancer in 2014. CVH score (ranged from 0 to 100) was assessed using the Life's Essential 8 metrics (body mass index, cigarette smoking, diet quality, physical activity, sleep health, lipid, blood glucose, and blood pressure). A composite of incident stroke events (ischemic stroke and hemorrhagic stroke) was identified via review of medical records. The follow-up period was calculated from the finishing date of the 2014 survey to either the date of stroke occurrence, death, loss to follow-up, or the end of follow-up (December 31, 2020). We also examined the longitudinal association between the CVH score and arterial stiffness status, as assessed by brachial-ankle pulse wave velocity, in 25 922 participants free of cardiovascular disease during the follow-up. We performed a meta-analysis to assess the association between CVH, based on the 2010 American Heart Association recommendation, and stroke integrating the results of current study and previous studies. RESULTS During a median follow-up of 5.65 years (interquartile range, 5.20-6.09), a total of 1750 incident stroke events were identified in the pooled Kailuan study. The pooled hazard ratios were 0.33 (95% CI, 0.20-0.54) for ideal versus poor health category of CVH (Ptrend<0.0001). Higher CVH scores were also associated with lower brachial-ankle pulse wave velocity values at baseline and slower increments of brachial-ankle pulse wave velocity during follow-up (Ptrend≤0.001 for both). Arterial stiffness mediated 9.07% (95% CI, 5.83%-15.0%) of the total association between CVH and incident stroke. The pooled hazard ratio comparing 2 extreme CVH categories for stroke was 0.45 (95% CI, 0.35-0.59) when including 10 published studies and the current study. CONCLUSIONS The CVH score as assessed by the Life's Essential 8 metrics significantly predicted future stroke risk and arterial stiffness status.
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Affiliation(s)
- Shouling Wu
- Department of Cardiology, Kailuan General Hospital, Tangshan, People's Republic of China (S.W., S.C.)
| | - Zhijun Wu
- Department of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, People's Republic of China (Z.W.)
| | - Dongmei Yu
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, People's Republic of China (D.Y.)
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, Tangshan, People's Republic of China (S.W., S.C.)
| | - Aitian Wang
- Department of Intensive Medicine, Kailuan General Hospital, Tangshan, People's Republic of China (Aitian W.)
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, People's Republic of China (Anxin W.)
| | - Xiang Gao
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, People's Republic of China (X.G.)
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Wang X, Xin R, Shan D, Dou G, Zhang W, Jing J, He B, Chen Y, Yang J. Incremental Value of Noncontrast Chest Computed Tomography-derived Parameters in Predicting Subclinical Carotid Atherosclerosis: From the PERSUADE Study. J Thorac Imaging 2023; 38:113-119. [PMID: 35576552 PMCID: PMC9936967 DOI: 10.1097/rti.0000000000000655] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
PURPOSE To investigate the incremental value of noncontrast chest computed tomography (CT)-derived parameters, such as coronary artery calcium score (CACS) and epicardial adipose tissue volume (EATv), in predicting subclinical carotid atherosclerosis above traditional risk factors in community-based asymptomatic populations of northern China. MATERIALS AND METHODS A total of 2195 community-based asymptomatic individuals were enrolled from Jidong Oilfield in accordance with the PERSUADE study. CACS and EATv were measured on noncontrast chest CT. Demographics and ideal cardiovascular health score (ICHS) were collected through questionnaires. We recalculated the ideal cardiovascular health risk score (ICHRS) (ICHRS=14-ICHS) and standardized the parameters as log-CACS and body mass index adjusted EATv (i-EATv). Subclinical carotid atherosclerosis was assessed by Doppler sonography and defined as any prevalence of average carotid intima-media thickness ≥1.00 mm, appearance of carotid plaque, and carotid arterial stenosis in the areas of extracranial carotid arteries on both sides. RESULTS A total of 451 (20.55%) individuals presented subclinical carotid atherosclerosis. CACS and EATv were significantly greater in the subclinical group, while ICHS was lower. In multivariate logistic regression, ICHRS (odds ratio [OR]=1.143, 95% confidence interval [CI]: 1.080-1.210, P <0.001), log-CACS (OR=1.701, 95% CI: 1.480-1.955, P <0.001), and i-EATv (OR=1.254, 95% CI: 1.173-1.341, P <0.001) were found to be independent risk predictors for subclinical carotid atherosclerosis. In receiver-operating characteristic curve analysis, when combined with male sex and age level, the area under the curve of the ICHRS basic model increased from 0.627 (95% CI: 0.599-0.654) to 0.757 (95% CI: 0.732-0.781) ( P <0.0001). Further adding log-CACS and i-EATv, the area under the curve demonstrated a statistically significant improvement (0.788 [95% CI: 0.765-0.812] vs. 0.757 [95% CI: 0.732-0.781], P <0.0001). CONCLUSION Noncontrast chest CT-derived parameters, including CACS and EATv, could provide significant incremental improvement for predicting subclinical carotid atherosclerosis beyond the conventional risk assessment model based on ICHRS.
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Affiliation(s)
- Xi Wang
- Medical School of Chinese PLA
- Department of Cardiology, the Sixth Medical Centre
| | - Ran Xin
- Department of Cardiology, the Sixth Medical Centre
- School of Medicine, Nankai University, Tianjin, P.R. China
| | - Dongkai Shan
- Department of Cardiology, the Sixth Medical Centre
| | - Guanhua Dou
- Department of Cardiology, the Second Medical Centre
| | - Wei Zhang
- Department of Cardiology, the First Medical Centre, Chinese PLA General Hospital, Beijing
| | - Jing Jing
- Department of Cardiology, the First Medical Centre, Chinese PLA General Hospital, Beijing
| | - Bai He
- Department of Cardiology, the First Medical Centre, Chinese PLA General Hospital, Beijing
| | - Yundai Chen
- Department of Cardiology, the Sixth Medical Centre
| | - Junjie Yang
- Department of Cardiology, the Sixth Medical Centre
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Choi HR, Chang Y, Kim Y, Cho Y, Kang J, Kwon MJ, Kwon R, Lim GY, Kim KH, Kim H, Hong YS, Park J, Zhao D, Cho J, Guallar E, Park HY, Ryu S. Ideal Cardiovascular Health Metrics and Risk of Incident Early-Onset Vasomotor Symptoms Among Premenopausal Women. J Clin Endocrinol Metab 2022; 107:2666-2673. [PMID: 35596684 PMCID: PMC9387697 DOI: 10.1210/clinem/dgac327] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Indexed: 12/19/2022]
Abstract
CONTEXT The relationship of ideal cardiovascular health (CVH) behaviors with preventing early-onset vasomotor symptoms (VMSs) is unknown. OBJECTIVE We investigated the association between CVH metrics and the development of early-onset VMSs in premenopausal women. METHODS This cohort study included 2541 premenopausal women aged 42 to 52 years without VMSs at baseline. CVH metrics were defined according to the American Heart Association Life Simple 7 metrics. Owing to limited availability of dietary information, CVH metrics were scored from 0 (unhealthy) to 6 (healthy) and classified into 3 groups: poor (0-2), intermediate (3-4), and ideal (5-6) CVH. VMSs, including hot flashes and night sweats, were assessed using the Menopause-Specific Quality of Life questionnaire. Moderate/severe VMSs was defined as a score of 3 or more points (range, 0 to 6; 6 being most bothersome). RESULTS During a median follow-up of 4.5 years, 1241 women developed VMSs before menopause. After adjustment for age, parity, education level, and alcohol consumption, the hazard ratio (HR) (95% CI) for developing early-onset VMSs comparing poor CVH group to the ideal group was 1.41 (1.07-1.86). CVH scores were also inversely associated with moderate/severe VMSs in a dose-response manner (P for trend = .004); specifically, multivariable-adjusted HRs comparing intermediate and poor CVH groups to the ideal group were 1.20 (95% CI, 1.02-1.43) and 1.57 (95% CI, 1.08-2.29), respectively. CONCLUSION Unfavorable CVH metrics were significantly associated with an increased risk of early-onset VMSs and its more severe forms among premenopausal women.
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Affiliation(s)
- Hye Rin Choi
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
- Institute of Medical Research, School of Medicine, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Yoosoo Chang
- Correspondence: Yoosoo Chang, MD, PhD, Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Samsung Main Bldg B2, 250, Taepyung-ro 2ga, Jung-gu, Seoul 04514, Republic of Korea.
| | - Yejin Kim
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Yoosun Cho
- Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Jeonggyu Kang
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Min-Jung Kwon
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
- Department of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Ria Kwon
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
- Institute of Medical Research, School of Medicine, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Ga-Young Lim
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
- Institute of Medical Research, School of Medicine, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Kye-Hyun Kim
- Department of Obstetrics and Gynecology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 03181, Republic of Korea
| | - Hoon Kim
- Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Yun Soo Hong
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Jihwan Park
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Di Zhao
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Juhee Cho
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
- Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul 06355, Republic of Korea
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Eliseo Guallar
- Departments of Epidemiology and Medicine, and Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland 21205, USA
| | - Hyun-Young Park
- Department of Precision Medicine, National Institute of Health, Korea Disease Control and Prevention Agency, Cheongju 28159, Republic of Korea
| | - Seungho Ryu
- Correspondence: Seungho Ryu, MD, PhD, Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Samsung Main Bldg B2, 250, Taepyung-ro 2ga, Jung-gu, Seoul 04514, Republic of Korea.
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9
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Zheng Y, Joyce B, Hwang SJ, Ma J, Liu L, Allen N, Krefman A, Wang J, Gao T, Nannini D, Zhang H, Jacobs DR, Gross M, Fornage M, Lewis CE, Schreiner PJ, Sidney S, Chen D, Greenland P, Levy D, Hou L, Lloyd-Jones D. Association of Cardiovascular Health Through Young Adulthood With Genome-Wide DNA Methylation Patterns in Midlife: The CARDIA Study. Circulation 2022; 146:94-109. [PMID: 35652342 PMCID: PMC9348746 DOI: 10.1161/circulationaha.121.055484] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Accepted: 05/04/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Cardiovascular health (CVH) from young adulthood is strongly associated with an individual's future risk of cardiovascular disease (CVD) and total mortality. Defining epigenomic biomarkers of lifelong CVH exposure and understanding their roles in CVD development may help develop preventive and therapeutic strategies for CVD. METHODS In 1085 CARDIA study (Coronary Artery Risk Development in Young Adults) participants, we defined a clinical cumulative CVH score that combines body mass index, blood pressure, total cholesterol, and fasting glucose measured longitudinally from young adulthood through middle age over 20 years (mean age, 25-45). Blood DNA methylation at >840 000 methylation markers was measured twice over 5 years (mean age, 40 and 45). Epigenome-wide association analyses on the cumulative CVH score were performed in CARDIA and compared in the FHS (Framingham Heart Study). We used penalized regression to build a methylation-based risk score to evaluate the risk of incident coronary artery calcification and clinical CVD events. RESULTS We identified 45 methylation markers associated with cumulative CVH at false discovery rate <0.01 (P=4.7E-7-5.8E-17) in CARDIA and replicated in FHS. These associations were more pronounced with methylation measured at an older age. CPT1A, ABCG1, and SREBF1 appeared as the most prominent genes. The 45 methylation markers were mostly located in transcriptionally active chromatin and involved lipid metabolism, insulin secretion, and cytokine production pathways. Three methylation markers located in genes SARS1, SOCS3, and LINC-PINT statistically mediated 20.4% of the total effect between CVH and risk of incident coronary artery calcification. The methylation risk score added information and significantly (P=0.004) improved the discrimination capacity of coronary artery calcification status versus CVH score alone and showed association with risk of incident coronary artery calcification 5 to 10 years later independent of cumulative CVH score (odds ratio, 1.87; P=9.66E-09). The methylation risk score was also associated with incident clinical CVD in FHS (hazard ratio, 1.28; P=1.22E-05). CONCLUSIONS Cumulative CVH from young adulthood contributes to midlife epigenetic programming over time. Our findings demonstrate the role of epigenetic markers in response to CVH changes and highlight the potential of epigenomic markers for precision CVD prevention, and earlier detection of subclinical CVD, as well.
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Affiliation(s)
- Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Brian Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Shih-Jen Hwang
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Jiantao Ma
- Tufts University Friedman School of Nutrition Science and Policy, Boston, Massachusetts, USA
| | - Lei Liu
- Division of Biostatistics, Washington University, St. Louis, Missouri, USA
| | - Norrina Allen
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Amy Krefman
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jun Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Tao Gao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Drew Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Haixiang Zhang
- Center for Applied Mathematics, Tianjin University, Tianjin, China
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, Medical School, University of Minnesota, Minneapolis, Minnesota, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Cora E. Lewis
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
- Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Pamela J. Schreiner
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Stephen Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Dongquan Chen
- Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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10
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Bourdillon MT, Gaye B, Song RJ, Vasan RS, Xanthakis V. Notable paradoxical phenomena in associations between cardiovascular health score, subclinical and clinical cardiovascular disease in the community: The Framingham Heart Study. PLoS One 2022; 17:e0267267. [PMID: 35511823 PMCID: PMC9070900 DOI: 10.1371/journal.pone.0267267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 04/05/2022] [Indexed: 11/20/2022] Open
Abstract
Importance Cardiovascular Health (CVH) scores are inversely associated with prevalent subclinical (SubDz) and incident cardiovascular disease (CVD). However, the majority of people who develop CVD have intermediate or ideal CVH scores, while many with poor CVH profiles escape CVD development. Objective To describe the prevalence of paradoxical relations among CVH, SubDz, and CVD. Design Cohort study, Framingham Study data collected prospectively (1995–2016). Setting Population-based. Participants 7,627 participants (mean age 49 years, 53% women) attending Offspring examinations 6/7 and Third Generation examinations 1/2. Exposures CVH score (range 0–14) constructed from poor, intermediate, or ideal status for each metric (smoking, diet, physical activity, blood pressure, body mass index, fasting glucose, total cholesterol); and prevalent SubDz (≥1 of: increased carotid intimal media thickness, CIMT; left ventricular hypertrophy, LVH; microalbuminuria, MA; elevated ankle brachial index, ABI; coronary artery calcium score ≥100,CAC). Main outcome(s) and measure(s) Ideal CVH (scores 12–14), intermediate CVH (scores 8–11), and poor CVH (0–7). We described three distinct paradoxical phenomena, involving combinations of CVH, SubDz, and CVD, and generated CVD incidence rates and predicted CVD probabilities for all combinations. Results We observed 842 CVD events (median follow-up 13.7 years); 1,663 participants had SubDz. Most individuals with poor CVH (78%) or SubDz (57% for CIMT to 77% for LVH) did not develop CVD on follow-up. Among participants with incident CVD, the majority had intermediate or ideal CVH (68%) or absent SubDz (46% for CAC to 96% for ABI) at baseline. We observed similar paradoxical results in relations between CVH and prevalent SubDz. Poor CVH and prevalent SubDz were each associated with higher CVD incidence rates compared to intermediate or ideal CVH and absent SubDz, respectively. The predicted CVD probability was nearly three-times greater among participants with poor (22%) versus intermediate or ideal CVH (8%). Mean CVD predicted probabilities were nearly three (26% vs. 10% for MA) to six-times (29% vs. 5% for CAC) greater among participants with SubDz versus without SubDz. Findings were consistent within age and sex strata. Conclusions and relevance Although poor CVH and SubDz presence are associated with CVD incidence, paradoxical phenomena involving CVH, SubDz, and CVD are frequently prevalent in the community. Further studies to elucidate biological mechanisms underlying these phenomena are warranted.
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Affiliation(s)
| | - Bamba Gaye
- INSERM, U970, Paris Cardiovascular Research Center, University Paris Descartes, Sorbonne Paris Cité, Paris, France
| | - Rebecca J. Song
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America
| | - Ramachandran S. Vasan
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States of America
- Department of Medicine, Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, United States of America
- Section of Cardiology, Boston University School of Medicine, Boston, MA, United States of America
- Center for Computing and Data Sciences, Boston University, Boston, MA, United States of America
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, United States of America
| | - Vanessa Xanthakis
- Department of Medicine, Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, United States of America
- Boston University’s and National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America
- * E-mail:
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11
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Agarwal A, Fazeel RH, Rahman HESA, Alenezi AMK, Alshammari DAS, Alenzi MHE, Albalawi TA, Alenezi YMK, Alenazi RHE. Prevalence of Cardiovascular Disease and Associated Risk Factors among Adult Population Attending Fitness Center/Gymnasium in Arar. ARCHIVES OF PHARMACY PRACTICE 2022. [DOI: 10.51847/sbqqcztmzv] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
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12
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Saydam CD. Subclinical cardiovascular disease and utility of coronary artery calcium score. IJC HEART & VASCULATURE 2021; 37:100909. [PMID: 34825047 PMCID: PMC8604741 DOI: 10.1016/j.ijcha.2021.100909] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 10/14/2021] [Accepted: 10/25/2021] [Indexed: 11/21/2022]
Abstract
ASCVD are the leading causes of mortality and morbidity among Globe. Evaluation of patients' comprehensive and personalized risk provides risk management strategies and preventive interventions to achieve gain for patients. Framingham Risk Score (FRS) and Systemic Coronary Risk Evaluation Score (SCORE) are two well studied risk scoring models, however, can miss some (20-35%) of future cardiovascular events. To obtain more accurate risk assessment recalibrating risk models through utilizing novel risk markers have been studied in last 3 decades and both ESC and AHA recommends assessing Family History, hs-CRP, CACS, ABI, and CIMT. Subclinical Cardiovascular Disease (SCVD) has been conceptually developed for investigating gradually progressing asymptomatic development of atherosclerosis and among these novel risk markers it has been well established by literature that CACS having highest improvement in risk assessment. This review study mainly selectively discussing studies with CACS measurement. A CACS = 0 can down-stratify risk of patients otherwise treated or treatment eligible before test and can reduce unnecessary interventions and cost, whereas CACS ≥ 100 is equivalent to statin treatment threshold of ≥ 7.5% risk level otherwise statin ineligible before test. Since inflammation, insulin resistance, oxidative stress, dyslipidemia and ongoing endothelial damage due to hypertension could lead to CAC, ASCVD linked with comorbidities. Recent cohort studies have shown a CACS 100-300 as a sign of increased cancer risk. Physical activity, dietary factors, cigarette use, alcohol consumption, metabolic health, family history of CHD, aging, exposures of neighborhood environment and non-cardiovascular comorbidities can determine CACs changes.
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13
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Wang L, Song L, Li D, Zhou Z, Chen S, Yang Y, Hu Y, Wang Y, Wu S, Tian Y. Ideal Cardiovascular Health Metric and Its Change With Lifetime Risk of Cardiovascular Diseases: A Prospective Cohort Study. J Am Heart Assoc 2021; 10:e022502. [PMID: 34755533 PMCID: PMC8751933 DOI: 10.1161/jaha.121.022502] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
Background Cardiovascular health (CVH) status is associated with cardiovascular diseases (CVD). However, evidence for association of CVH change with risk of CVD is scarce. Methods and Results Seven metrics (smoking status, body mass index, physical activity, diet, total cholesterol, blood pressure, and fasting blood glucose) were used to evaluate the CVH status. Having 0 to 2, 3 to 4, and 5 to 7 ideal cardiovascular metrics were categorized as low, moderate, and high CVH status, respectively. Change in CVH status was assessed from 2006/2007 to 2010/2011. We calculated lifetime risk of CVD using a modified Kaplan–Meier method, and life expectancy was evaluated via the multistate lifetable method. There were 82 349 participants included in our analysis. At 35 years index age, the age‐adjusted incident rate and lifetime risk of CVD were increased with decreasing number of ideal CVH metrics. The direction of change in status of CVH was consistently associated with age‐adjusted incident rate and lifetime risk of CVD. At 35 years index age, improvement from low to moderate (37.6% [95% CI, 32.8%–42.4%]) or to high status (24.4% [95% CI, 12.7%–36.0%]) had lower lifetime risk of CVD compared with consistently low status (44.6% [95% CI, 40.8%–48.5%]). The improvement in CVH could prolong the years of life free from CVD. The pattern of incident rate and lifetime risk across change in CVH status was similar at 45 and 55 years index age. Conclusions Higher number of CVH metrics was associated with lower lifetime risk of CVD. The improvement of CVH status could reduce the lifetime risk of CVD and prolonged the year of life free from CVD.
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Affiliation(s)
- Lulin Wang
- Department of Maternal and Child Health School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Lulu Song
- Department of Maternal and Child Health School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Dankang Li
- Department of Maternal and Child Health School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Ziyi Zhou
- Department of Maternal and Child Health School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Shuohua Chen
- Department of Cardiology Kailuan General Hospital North China University of Science and Technology Tangshan City China
| | - Yingping Yang
- Department of Maternal and Child Health School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Yonghua Hu
- Department of Epidemiology and Biostatistics School of Public Health Peking University Beijing China
| | - Youjie Wang
- Department of Maternal and Child Health School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
| | - Shouling Wu
- Department of Cardiology Kailuan General Hospital North China University of Science and Technology Tangshan City China
| | - Yaohua Tian
- Department of Maternal and Child Health School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China.,Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating) School of Public Health Tongji Medical CollegeHuazhong University of Science and Technology Wuhan China
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14
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Vasan RS, Pan S, Larson MG, Mitchell GF, Xanthakis V. Arteriosclerosis, Atherosclerosis, and Cardiovascular Health: Joint Relations to the Incidence of Cardiovascular Disease. Hypertension 2021; 78:1232-1240. [PMID: 34601961 PMCID: PMC8516717 DOI: 10.1161/hypertensionaha.121.18075] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 08/23/2021] [Indexed: 01/01/2023]
Abstract
[Figure: see text].
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Affiliation(s)
- Ramachandran S. Vasan
- Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA
- Framingham Heart Study, Framingham, MA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA
| | - Stephanie Pan
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Martin G. Larson
- Framingham Heart Study, Framingham, MA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | | | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Boston University School of Medicine, Boston, MA
- Framingham Heart Study, Framingham, MA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
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15
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Joyce BT, Gao T, Zheng Y, Ma J, Hwang SJ, Liu L, Nannini D, Horvath S, Lu AT, Bai Allen N, Jacobs DR, Gross M, Krefman A, Ning H, Liu K, Lewis CE, Schreiner PJ, Sidney S, Shikany JM, Levy D, Greenland P, Hou L, Lloyd-Jones D. Epigenetic Age Acceleration Reflects Long-Term Cardiovascular Health. Circ Res 2021; 129:770-781. [PMID: 34428927 DOI: 10.1161/circresaha.121.318965] [Citation(s) in RCA: 71] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Brian T Joyce
- Center for Global Oncology, Institute for Global Health (B.T.J., T.G., Y.Z., D.N., L.H.), Feinberg School of Medicine, Northwestern University, Chicago, IL.,Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Tao Gao
- Center for Global Oncology, Institute for Global Health (B.T.J., T.G., Y.Z., D.N., L.H.), Feinberg School of Medicine, Northwestern University, Chicago, IL.,Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Yinan Zheng
- Center for Global Oncology, Institute for Global Health (B.T.J., T.G., Y.Z., D.N., L.H.), Feinberg School of Medicine, Northwestern University, Chicago, IL.,Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Jiantao Ma
- The Framingham Heart Study, Framingham, MA; (J.M., S.-J.H., D.L.).,Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (J.M., S.-J.H., D.L.)
| | - Shih-Jen Hwang
- The Framingham Heart Study, Framingham, MA; (J.M., S.-J.H., D.L.).,Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (J.M., S.-J.H., D.L.)
| | - Lei Liu
- Division of Biostatistics, Washington University, St. Louis, MO (L.L.)
| | - Drew Nannini
- Center for Global Oncology, Institute for Global Health (B.T.J., T.G., Y.Z., D.N., L.H.), Feinberg School of Medicine, Northwestern University, Chicago, IL.,Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Steve Horvath
- Department of Human Genetics, UCLA David Geffen School of Medicine, Los Angeles, CA (S.H., A.T.L.)
| | - Ake T Lu
- Department of Human Genetics, UCLA David Geffen School of Medicine, Los Angeles, CA (S.H., A.T.L.)
| | - Norrina Bai Allen
- Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health (D.R.J., M.G.), University of Minnesota, Minneapolis
| | - Myron Gross
- Division of Epidemiology and Community Health, School of Public Health (D.R.J., M.G.), University of Minnesota, Minneapolis
| | - Amy Krefman
- Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Hongyan Ning
- Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Kiang Liu
- Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Cora E Lewis
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham (C.E.L., J.M.S.)
| | | | - Stephen Sidney
- Division of Research, Kaiser Permanente, Oakland, CA (S.S.)
| | - James M Shikany
- Division of Preventive Medicine, School of Medicine, University of Alabama at Birmingham (C.E.L., J.M.S.)
| | - Daniel Levy
- The Framingham Heart Study, Framingham, MA; (J.M., S.-J.H., D.L.).,Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (J.M., S.-J.H., D.L.)
| | - Philip Greenland
- Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Lifang Hou
- Center for Global Oncology, Institute for Global Health (B.T.J., T.G., Y.Z., D.N., L.H.), Feinberg School of Medicine, Northwestern University, Chicago, IL.,Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
| | - Donald Lloyd-Jones
- Department of Preventive Medicine (B.T.J., T.G., Y.Z., D.N., N.B.A., A.K., H.N., K.L., P.G., L.H., D.L.-J.), Feinberg School of Medicine, Northwestern University, Chicago, IL
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16
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Yang PS, Jang E, Yu HT, Kim TH, Pak HN, Lee MH, Joung B. Changes in Cardiovascular Risk Factors and Cardiovascular Events in the Elderly Population. J Am Heart Assoc 2021; 10:e019482. [PMID: 33998260 PMCID: PMC8483545 DOI: 10.1161/jaha.120.019482] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Background This study examines changes in the ideal cardiovascular health (CVH) status and whether these changes are associated with incident cardiovascular disease (CVD) and mortality in the elderly Asian population. Methods and Results In the Korea National Health Insurance Service–Senior cohort aged ≥60 years, 208 673 participants without prior CVD, including 109 431 who showed changes in CVH status, were assessed. The association of the changes in cardiovascular risk factors with incident CVD was assessed from 2004 to 2014 in the elderly (aged 60–74 years) and very elderly (≥75 years) groups. During the follow‐up period (7.1 years for CVD and 7.2 years for mortality), 19 429 incident CVD events and 24 225 deaths occurred. In both the elderly and very elderly participants, higher CVH status resulted in a lower risk of CVD and mortality. In the very elderly participants, compared with consistently low CVH, consistently high CVH (subhazard ratio, 0.41; 95% CI, 0.23–0.73) was associated with a lower risk of CVD. This trend was consistently observed in the elderly population. In the very elderly participants, total cholesterol level was not informative enough for the prediction of CVD events. In both the elderly and very elderly groups, body mass index and total cholesterol were not informative enough for the prediction of all‐cause mortality. Conclusions In both the elderly and very elderly Asian populations without CVD, a consistent relationship was observed between the improvement of a composite metric of CVH and the reduced risk of CVD. Body mass index and total cholesterol were not informative enough for the prediction of all‐cause mortality in both the elderly and very elderly groups.
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Affiliation(s)
- Pil-Sung Yang
- Department of Cardiology CHA Bundang Medical CenterCHA University Seongnam Republic of Korea
| | - Eunsun Jang
- Division of Cardiology Department of Internal Medicine Yonsei University College of Medicine Seoul Republic of Korea
| | - Hee Tae Yu
- Division of Cardiology Department of Internal Medicine Yonsei University College of Medicine Seoul Republic of Korea
| | - Tae-Hoon Kim
- Division of Cardiology Department of Internal Medicine Yonsei University College of Medicine Seoul Republic of Korea
| | - Hui-Nam Pak
- Division of Cardiology Department of Internal Medicine Yonsei University College of Medicine Seoul Republic of Korea
| | - Moon-Hyoung Lee
- Division of Cardiology Department of Internal Medicine Yonsei University College of Medicine Seoul Republic of Korea
| | - Boyoung Joung
- Division of Cardiology Department of Internal Medicine Yonsei University College of Medicine Seoul Republic of Korea
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17
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Corlin L, Short MI, Vasan RS, Xanthakis V. Association of the Duration of Ideal Cardiovascular Health Through Adulthood With Cardiometabolic Outcomes and Mortality in the Framingham Offspring Study. JAMA Cardiol 2021; 5:549-556. [PMID: 32159731 DOI: 10.1001/jamacardio.2020.0109] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Importance The American Heart Association ideal cardiovascular health (CVH) score is associated with the risk of cardiovascular disease (CVD) and mortality. However, it is unclear whether the number of years spent in ideal CVH is associated with morbidity or with mortality. Objective To evaluate whether living longer with a higher CVH score in midlife is associated with lower risk of hypertension, diabetes, chronic kidney disease, CVD and its subtypes (coronary heart disease, stroke, congestive heart failure, and peripheral artery disease), or all-cause mortality in later life. Design, Setting, and Participants This prospective cohort study used data from 1445 participants from 1991 to 2015 who participated in the community-based Framingham Heart Study Offspring investigation conducted in Massachusetts. The CVH scores of participants were assessed at examination cycles 5, 6, and 7 (1991-1995; 1995-1998; and 1998-2001, respectively). Individuals were excluded from analyses of the association between duration of CVH score and outcomes if they had the outcome of interest at the seventh examination. The median follow-up was approximately 16 years. Data were analyzed from April 2018 to October 2019. The CVH score categories were poor for scores 0 to 7, intermediate for scores 8 to 11, and ideal for scores 12 to 14. A composite score was derived based on smoking status, diet, physical activity, resting blood pressure levels, body mass index, fasting blood glucose levels, and total serum cholesterol levels. Main Outcomes and Measures Number of events and number at risk for each main outcome, including incident hypertension, diabetes, chronic kidney disease, CVD, and all-cause mortality, after the seventh examination. Results Of 1445 eligible participants, the mean (SD) age was 60 (9) years, and 751 (52%) were women. Number of events/number at risk for each main outcome after the seventh examination were 348/795 for incident hypertension, 104/1304 for diabetes, 198/918 for chronic kidney disease, 210/1285 for CVD, and 300/1445 for all-cause mortality. At the seventh examination, participants mostly had poor (568 [39%]) or intermediate (782 [54%]) CVH scores. For each antecedent (before examination cycle 7) 5-year duration that participants had intermediate or ideal CVH, they were less likely to develop adverse outcomes (hazards ratios of 0.67 [95% CI, 0.56-0.80] for incident hypertension, 0.73 [95% CI, 0.57-0.93] for diabetes, 0.75 [95% CI, 0.63-0.89] for chronic kidney disease, 0.73 [95% CI, 0.63-0.85] for CVD, and 0.86 [95% CI, 0.76-0.97] for all-cause mortality) relative to living the same amount of time in poor CVH (referent group). No effect modification was observed by age or by sex. Conclusions and Relevance These results suggest that more time spent in better CVH in midlife may have salutary cardiometabolic benefits and may be associated with lower mortality later in life.
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Affiliation(s)
- Laura Corlin
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.,Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, Massachusetts
| | - Meghan I Short
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.,Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Science Center at San Antonio, San Antonio
| | - Ramachandran S Vasan
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.,Department of Epidemiology, Boston University School of Public Health, Boston, Massachusetts.,Framingham Heart Study, Framingham, Massachusetts
| | - Vanessa Xanthakis
- Section of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts.,Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.,Framingham Heart Study, Framingham, Massachusetts
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18
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Association between the Mediterranean lifestyle, metabolic syndrome and mortality: a whole-country cohort in Spain. Cardiovasc Diabetol 2021; 20:5. [PMID: 33402187 PMCID: PMC7786987 DOI: 10.1186/s12933-020-01195-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2020] [Accepted: 12/09/2020] [Indexed: 02/06/2023] Open
Abstract
Background Evidence is limited about the joint health effects of the Mediterranean lifestyle on cardiometabolic health and mortality. The aim of this study was to evaluate the association of the Mediterranean lifestyle with the frequency of the metabolic syndrome (MS) and the risk of all-cause and cardiovascular mortality in Spain. Methods Data were taken from ENRICA study, a prospective cohort of 11,090 individuals aged 18+ years, representative of the population of Spain, who were free of cardiovascular disease (CVD) and diabetes at 2008–2010 and were followed-up to 2017. The Mediterranean lifestyle was assessed at baseline with the 27-item MEDLIFE index (with higher score representing better adherence). Results Compared to participants in the lowest quartile of MEDLIFE, those in the highest quartile had a multivariable-adjusted odds ratio 0.73 (95% confidence interval (CI) 0.5, 0.93) for MS, 0.63. (0.51, 0.80) for abdominal obesity, and 0.76 (0.63, 0.90) for low HDL-cholesterol. Similarly, a higher MELDIFE score was associated with lower HOMA-IR and highly-sensitivity C-reactive protein (P-trend < 0.001). During a mean follow-up of 8.7 years, 330 total deaths (74 CVD deaths) were ascertained. When comparing those in highest vs. lowest quartile of MEDLIFE, the multivariable-adjusted hazard ratio (95% CI) was 0.58 (0.37, 0.90) for total mortality and 0.33 (0.11, 1.02) for cardiovascular mortality. Conclusions The Mediterranean lifestyle was associated with lower frequency of MS and reduced all-cause mortality in Spain. Future studies should determine if this also applies to other Mediterranean countries, and also improve cardiovascular health outside the Mediterranean basin.
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19
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Gaye B, Tajeu GS, Vasan RS, Lassale C, Allen NB, Singh-Manoux A, Jouven X. Association of Changes in Cardiovascular Health Metrics and Risk of Subsequent Cardiovascular Disease and Mortality. J Am Heart Assoc 2020; 9:e017458. [PMID: 32985301 PMCID: PMC7792367 DOI: 10.1161/jaha.120.017458] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Background The extent to which change in cardiovascular health (CVH) in midlife reduces risk of subsequent cardiovascular disease and mortality is unclear. Methods and Results CVH was computed at 2 ARIC (Atherosclerosis Risk in Communities) study visits in 1987 to 1989 and 1993 to 1995, using 7 metrics (smoking, body mass index, total cholesterol, blood glucose, blood pressure, physical activity, and diet), each classified as poor, intermediate, and ideal. Overall CVH was classified as poor, intermediate, and ideal to correspond to 0 to 2, 3 to 4, and 5 to 7 metrics at ideal levels. There 10 038 participants, aged 44 to 66 years that were eligible. From the first to the second study visit, there was an improvement in overall CVH for 17% of participants and a decrease in CVH for 21% of participants. At both study visits, 28%, 27%, and 6% had poor, intermediate, and ideal overall CVH, respectively. Compared with those with poor CVH at both visits, the risk of cardiovascular disease (hazard ratio [HR], 0.26; 95% CI, 0.20–0.34) and mortality (HR, 0.35; 95% CI, 0.29–0.44) was lowest in those with ideal CVH at both measures. Improvement from poor to intermediate/ideal CVH was also associated with a lower risk of cardiovascular disease (HR, 0.67; 95% CI, 0.59–0.75) and mortality (HR, 0.80; 95% CI, 0.72–0.89). Conclusions Improvement in CVH or stable ideal CVH, compared with those with poor CVH over time, is associated with a lower risk of incident cardiovascular disease and all‐cause mortality. The change in smoking status and cholesterol may have accounted for a large part of the observed association.
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Affiliation(s)
- Bamba Gaye
- Department of Epidemiology INSERM U970 Paris Cardiovascular Research Center Paris France.,Université Paris Descartes Sorbonne Paris Cité Faculté de Médecine Paris France
| | - Gabriel S Tajeu
- Temple University TU Health Services Administration and Policy Philadelphia PA
| | - Ramachandran S Vasan
- School of Public Health Boston University Boston MA.,Framingham Heart Study Framingham MA.,Sections of Preventive Medicine & Epidemiology, and Cardiology Department of Medicine Boston University School of Medicine Boston MA
| | - Camille Lassale
- Hospital del Mar Research Institute Barcelona Spain.,CIBER of Pathophysiology of Obesity and Nutrition (CIBEROBN) Instituto de Salud Carlos III Madrid Spain
| | - Norrina B Allen
- The Northwestern University Feinberg School of Medicine Chicago IL
| | - Archana Singh-Manoux
- Inserm U1153 Epidemiology of Ageing and Neurodegenerative diseases Université de Paris France
| | - Xavier Jouven
- Department of Epidemiology INSERM U970 Paris Cardiovascular Research Center Paris France.,Université Paris Descartes Sorbonne Paris Cité Faculté de Médecine Paris France.,Cardiology Department AP-HP Georges Pompidou European Hospital Paris France
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20
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Lieb W, Song RJ, Vasan RS, Xanthakis V. Premature Parental Cardiovascular Disease and Subclinical Disease Burden in the Offspring. J Am Heart Assoc 2020; 9:e015406. [PMID: 32896212 PMCID: PMC7727015 DOI: 10.1161/jaha.119.015406] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Background Offspring of parents with premature cardiovascular disease (CVD) have an increased risk of developing subclinical and clinical CVD. It is unclear whether this association differs by vascular beds in the offspring or by the age cut points used to define premature parental CVD. Methods and Results Using 3 generations of Framingham Heart Study participants, we assessed prevalent coronary artery calcification, the progression of coronary artery calcification over 6.1 years (median), carotid intima media thickness and the ankle-brachial index in 1046 offspring of parents with premature CVD before age 70 years, in 1618 offspring with both parents free of CVD and in 923 offspring with parents with CVD after age 70 years. We used different age cut points (55, 60, 65, and 70 years) to define premature parental CVD. In multivariable-adjusted models, offspring of parents with premature CVD (onset before age 65 years) displayed greater odds for prevalent coronary artery calcification (odds ratio [OR], 1.81; 95% CI, 1.35-2.43), higher carotid intima media thickness (OR, 1.50; 95% CI, 0.92-2.44) and lower ankle-brachial index (OR, 1.89; 95% CI, 1.00-3.58). These associations were generally consistent across different age cut points used to define premature parental CVD. The association with the progression of coronary artery calcification was less consistent. Conclusions Parental premature CVD is associated with increased subclinical CVD burden in the offspring, with consistent relations across different vascular beds and for different age cut points used to define premature parental CVD. Future studies should evaluate whether screening for subclinical CVD traits is warranted in offspring with premature parental CVD.
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Affiliation(s)
- Wolfgang Lieb
- Framingham Heart Study Framingham MA.,Institute of Epidemiology Kiel University Kiel Germany
| | - Rebecca J Song
- Department of Epidemiology Boston University School of Public Health Boston MA
| | - Ramachandran S Vasan
- Framingham Heart Study Framingham MA.,Section of Preventive Medicine and Epidemiology Boston University School of Medicine Boston MA.,Department of Epidemiology Boston University School of Public Health Boston MA.,Boston University Center for Computing and Data Sciences Boston MA
| | - Vanessa Xanthakis
- Framingham Heart Study Framingham MA.,Section of Preventive Medicine and Epidemiology Boston University School of Medicine Boston MA.,Department of Biostatistics Boston University School of Public Health Boston MA
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21
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Effect of Lifestyle Changes after Percutaneous Coronary Intervention on Revascularization. BIOMED RESEARCH INTERNATIONAL 2020; 2020:2479652. [PMID: 32149092 PMCID: PMC7042514 DOI: 10.1155/2020/2479652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 12/15/2019] [Accepted: 01/23/2020] [Indexed: 11/17/2022]
Abstract
Objective Whether optimal cardiovascular health metrics may reduce the risk of cardiovascular events in secondary prevention is uncertain. The study was conducted to evaluate the influence of lifestyle changes on clinical outcomes among the subjects underwent percutaneous coronary intervention (PCI). Methods The study group consists of 17,099 consecutive PCI patients. We recorded data on subject lifestyle behavior changes after their procedure. Patients were categorized as ideal, intermediate, or poor CV health according to a modified Life's Simple 7 score (on body mass, smoking, physical activity, diet, cholesterol, blood pressure, and glucose). Multivariable COX regression was used to evaluate the association between CV health and revascularization event. We also tested the impact of cumulative cardiovascular health score on reoccurrence of cardiovascular event. Results During a 3-year median follow-up, 1,583 revascularization events were identified. The observed revascularization rate was 8.0%, 9.3%, and 10.6% in the group of patients with optimal (a modified Life's Simple 7 score of 11–14), average (score = 9 or 10), or inadequate (less or equal than 8) CV health, respectively. After multivariable analysis, the adjusted hazard ratios were 0.83 (95% CI: 0.73–0.94) and 0.89 (95% CI: 0.79–0.99) for patients with optimal and average lifestyle changes comparing with the inadequate tertile (P for trend = 0.003). In addition, each unit increase in above metrics was associated with a decrease risk of revascularization (HR, 0.96; 95% confidence interval, 0.93–0.98; P for trend = 0.003). In addition, each unit increase in above metrics was associated with a decrease risk of revascularization (HR, 0.96; 95% confidence interval, 0.93–0.98; Conclusion Ideal CV health related to lower incidence of cardiovascular events, even after the percutaneous coronary intervention. Revascularization can be reduced by lifestyle changes. The cardiovascular health metrics could be extrapolated to secondary prevention and need for further validation.
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22
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Bahls M, Lorenz MW, Dörr M, Gao L, Kitagawa K, Tuomainen TP, Agewall S, Berenson G, Catapano AL, Norata GD, Bots ML, van Gilst W, Asselbergs FW, Brouwers FP, Uthoff H, Sander D, Poppert H, Hecht Olsen M, Empana JP, Schminke U, Baldassarre D, Veglia F, Franco OH, Kavousi M, de Groot E, Mathiesen EB, Grigore L, Polak JF, Rundek T, Stehouwer CDA, Skilton MR, Hatzitolios AI, Savopoulos C, Ntaios G, Plichart M, McLachlan S, Lind L, Willeit P, Steinmetz H, Desvarieux M, Ikram MA, Johnsen SH, Schmidt C, Willeit J, Ducimetiere P, Price JF, Bergström G, Kauhanen J, Kiechl S, Sitzer M, Bickel H, Sacco RL, Hofman A, Völzke H, Thompson SG. Progression of conventional cardiovascular risk factors and vascular disease risk in individuals: insights from the PROG-IMT consortium. Eur J Prev Cardiol 2020; 27:234-243. [PMID: 31619084 PMCID: PMC7008553 DOI: 10.1177/2047487319877078] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2019] [Accepted: 08/29/2019] [Indexed: 12/23/2022]
Abstract
AIMS Averaged measurements, but not the progression based on multiple assessments of carotid intima-media thickness, (cIMT) are predictive of cardiovascular disease (CVD) events in individuals. Whether this is true for conventional risk factors is unclear. METHODS AND RESULTS An individual participant meta-analysis was used to associate the annualised progression of systolic blood pressure, total cholesterol, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol with future cardiovascular disease risk in 13 prospective cohort studies of the PROG-IMT collaboration (n = 34,072). Follow-up data included information on a combined cardiovascular disease endpoint of myocardial infarction, stroke, or vascular death. In secondary analyses, annualised progression was replaced with average. Log hazard ratios per standard deviation difference were pooled across studies by a random effects meta-analysis. In primary analysis, the annualised progression of total cholesterol was marginally related to a higher cardiovascular disease risk (hazard ratio (HR) 1.04, 95% confidence interval (CI) 1.00 to 1.07). The annualised progression of systolic blood pressure, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol was not associated with future cardiovascular disease risk. In secondary analysis, average systolic blood pressure (HR 1.20 95% CI 1.11 to 1.29) and low-density lipoprotein cholesterol (HR 1.09, 95% CI 1.02 to 1.16) were related to a greater, while high-density lipoprotein cholesterol (HR 0.92, 95% CI 0.88 to 0.97) was related to a lower risk of future cardiovascular disease events. CONCLUSION Averaged measurements of systolic blood pressure, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol displayed significant linear relationships with the risk of future cardiovascular disease events. However, there was no clear association between the annualised progression of these conventional risk factors in individuals with the risk of future clinical endpoints.
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Affiliation(s)
- Martin Bahls
- Department of Internal Medicine B, University Medicine Greifswald, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Germany
| | - Matthias W Lorenz
- Department of Neurology, Goethe University, Frankfurt am Main, Germany
| | - Marcus Dörr
- Department of Internal Medicine B, University Medicine Greifswald, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Germany
| | - Lu Gao
- MRC Biostatistics Unit, Institute of Public Health, University Forvie Site, University of Cambridge, UK
| | - Kazuo Kitagawa
- Department of Neurology, Tokyo Women’s Medical University, Tokyo, Japan
| | - Tomi-Pekka Tuomainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Kuopio, Finland
| | - Stefan Agewall
- Institute of Clinical Sciences, University of Oslo, Oslo, Norway
- Department of Cardiology, Oslo University Hospital Ullevål, Ullevål, Oslo, Norway
| | - Gerald Berenson
- Department of Medicine, Pediatrics, Biochemistry, Epidemiology, Tulane University School of Medicine and School of Public Health and Tropical Medicine, New Orleans, USA
| | - Alberico L Catapano
- IRCSS Multimedica, Milan, Italy
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
| | - Giuseppe D Norata
- Department of Pharmacological and Biomolecular Sciences, University of Milan, Milan, Italy
- SISA Center for the Study of Atherosclerosis, Bassini Hospital, Italy
| | - Michiel L Bots
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Wiek van Gilst
- Department of Experimental Cardiology, University Medical Center Groningen, The Netherlands
| | - Folkert W Asselbergs
- Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands
- Institute of Cardiovascular Science, University College London, London, UK
- Health Data Research UK and Institute of Health Informatics, University College London, London, UK
| | - Frank P Brouwers
- Department of Cardiology, University Medical Center Groningen, Groningen, The Netherlands
| | - Heiko Uthoff
- Department of Angiology, University Hospital Basel, Basel, Switzerland
| | - Dirk Sander
- Department of Neurology, Benedictus Hospital Tutzing, Tutzing, Germany
| | - Holger Poppert
- Department of Neurology, Technical University Munich, Munich, Germany
| | - Michael Hecht Olsen
- Department of Internal Medicine, Holbaek Hospital and Institute of Regional Health Research, University of Southern Denmark, Denmark
| | - Jean Philippe Empana
- Université de Paris, INSERM U970, Paris Cardiovascular Research Centre, Paris, France
| | - Ulf Schminke
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Damiano Baldassarre
- Centro Cardiologico Monzino, IRCCS, Milan, Italy
- Department of Medical Biotechnology and Translational Medicine, Università di Milano, Milan, Italy
| | | | - Oscar H Franco
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Institute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Eric de Groot
- Imagelabonline and Cardiovascular, Erichem, The Netherlands
| | - Ellisiv B Mathiesen
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - Liliana Grigore
- Centro Sisa per lo Studio della Aterosclerosi, Bassini Hospital, Cinisello Balsamo, Italy
| | - Joseph F Polak
- Tufts University School of Medicine, Tufts Medical Center, Boston, USA
| | - Tatjana Rundek
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, USA
| | - Coen DA Stehouwer
- Department of Internal Medicine and Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Michael R Skilton
- The Boden Collaboration for Obesity, Nutrition, Exercise and Eating Disorders, The University of Sydney, Sydney, Australia
| | - Apostolos I Hatzitolios
- Propedeutic Department of Internal Medicine, Aristotle University of Thessaloniki – AHEPA Hospital, Greece
| | - Christos Savopoulos
- Propedeutic Department of Internal Medicine, Aristotle University of Thessaloniki – AHEPA Hospital, Greece
| | - George Ntaios
- Department of Internal Medicine, Faculty of Medicine, School of Health Sciences, University of Thessaly, Larissa, Greece
| | - Matthieu Plichart
- Centro Sisa per lo Studio della Aterosclerosi, Bassini Hospital, Cinisello Balsamo, Italy
- Assistance Publique, Hôpitaux de Paris, Hôpital Broca, Paris, France
| | | | - Lars Lind
- Department of Medicine, Uppsala University, Uppsala, Sweden
| | - Peter Willeit
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
- Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Helmuth Steinmetz
- Department of Neurology, Goethe University, Frankfurt am Main, Germany
| | - Moise Desvarieux
- Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA
- METHODS Core, Centre de Recherche Epidémiologie et Statistique Paris Sorbonne Cité (CRESS), Institut National de la Santé et de la Recherche Médicale (INSERM) UMR 1153, Paris, France
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Radiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Stein Harald Johnsen
- Department of Clinical Medicine, UiT The Arctic University of Norway, Tromsø, Norway
- Department of Neurology, University Hospital of North Norway, Tromsø, Norway
| | - Caroline Schmidt
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, Gothenburg, Sweden
| | - Johann Willeit
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | | | | | - Göran Bergström
- Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Clinical Physiology, Gothenburg, Sweden
| | - Jussi Kauhanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Kuopio, Finland
| | - Stefan Kiechl
- Department of Neurology, Medical University Innsbruck, Innsbruck, Austria
| | - Matthias Sitzer
- Department of Neurology, Goethe University, Frankfurt am Main, Germany
- Department of Neurology, Klinikum Herford, Herford, Germany
| | - Horst Bickel
- Department of Psychiatry and Psychotherapy, Technische Universität München, Munich, Germany
| | - Ralph L Sacco
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, USA
| | - Albert Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology | Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Henry Völzke
- German Centre for Cardiovascular Research (DZHK), partner site Greifswald, Germany
- Institute for Community Medicine, SHIP/Clinical-Epidemiological Research, University Medicine Greifswald, Greifswald, Germany
| | - Simon G Thompson
- Department of Public Health and Primary Care, School of Clinical Medicine, University of Cambridge, Cambridge, UK
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(Patient's level of information on prevention of cardiovascular diseases). COR ET VASA 2019. [DOI: 10.33678/cor.2019.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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Yeboah J. Road to the American Heart Association 2020 Impact Goals: The Metric for Monitoring Progress. Circ Cardiovasc Imaging 2019; 11:e007385. [PMID: 29305353 DOI: 10.1161/circimaging.117.007385] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Joseph Yeboah
- From the Heart and Vascular Center of Excellence, Wake Forest School of Medicine, Winston-Salem, NC.
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25
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Andersson C, Johnson AD, Benjamin EJ, Levy D, Vasan RS. 70-year legacy of the Framingham Heart Study. Nat Rev Cardiol 2019; 16:687-698. [DOI: 10.1038/s41569-019-0202-5] [Citation(s) in RCA: 84] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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26
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Kim S, Chang Y, Cho J, Hong YS, Zhao D, Kang J, Jung HS, Yun KE, Guallar E, Ryu S, Shin H. Life’s Simple 7 Cardiovascular Health Metrics and Progression of Coronary Artery Calcium in a Low-Risk Population. Arterioscler Thromb Vasc Biol 2019; 39:826-833. [DOI: 10.1161/atvbaha.118.311821] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Objective—
We examined the association of cardiovascular health (CVH) metrics with the development and progression of coronary artery calcium (CAC) among apparently healthy adults.
Approach and Results—
This cohort study included 65 494 men and women 30 years of age and older free of cardiovascular disease at baseline who underwent a comprehensive exam including CAC scoring. CVH metrics were defined according to the American Heart Association Life’s Simple 7 metrics based on smoking, diet, physical activity, body mass index, blood pressure, total cholesterol, and fasting glucose. CVH scores range from 0 (all metrics considered unhealthy) to 7 (all metrics considered healthy). Participants were followed-up for a maximum of 6.6 years. Compared with participants with ideal CVH scores 0–1, the multivariable-adjusted difference in the change in geometric means of CAC scores over 5 years of follow-up were −0.40 (−0.62 to −0.19), −0.83 (−1.03 to −0.63), −1.06 (−1.25 to −0.86), −1.22 (−1.42 to −1.03), and −1.05 (−1.42 to −0.69) in participants with ideal CVH scores 2, 3, 4, 5, and 6–7, respectively. The inverse association between CVH scores and progression of CAC was observed both in participants with no CAC and in those with CAC detectable at baseline.
Conclusions—
A higher ideal CVH metrics score was strongly associated with a lower prevalence of CAC and with lower progression of CAC in males and females in a large cohort of healthy adults. Our findings suggest that maintaining a healthy life habits could help reduce the development and progression of subclinical atherosclerosis and ultimately prevent clinically cardiovascular event.
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Affiliation(s)
- Seolhye Kim
- From the Center for Cohort Studies, Total Healthcare Center (S.K., Y.C., J.C., J.K., H.-S.J., K.E.Y., S.R., H.S.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yoosoo Chang
- From the Center for Cohort Studies, Total Healthcare Center (S.K., Y.C., J.C., J.K., H.-S.J., K.E.Y., S.R., H.S.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea (Y.C., J.C., E.G., S.R.)
| | - Juhee Cho
- From the Center for Cohort Studies, Total Healthcare Center (S.K., Y.C., J.C., J.K., H.-S.J., K.E.Y., S.R., H.S.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea (Y.C., J.C., E.G., S.R.)
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.C., Y.S.H., D.Z., E.G.)
| | - Yun Soo Hong
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.C., Y.S.H., D.Z., E.G.)
| | - Di Zhao
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.C., Y.S.H., D.Z., E.G.)
| | - Jeonggyu Kang
- From the Center for Cohort Studies, Total Healthcare Center (S.K., Y.C., J.C., J.K., H.-S.J., K.E.Y., S.R., H.S.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hyun-Suk Jung
- From the Center for Cohort Studies, Total Healthcare Center (S.K., Y.C., J.C., J.K., H.-S.J., K.E.Y., S.R., H.S.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Family Medicine (H.S.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyung Eun Yun
- From the Center for Cohort Studies, Total Healthcare Center (S.K., Y.C., J.C., J.K., H.-S.J., K.E.Y., S.R., H.S.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Eliseo Guallar
- Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea (Y.C., J.C., E.G., S.R.)
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (J.C., Y.S.H., D.Z., E.G.)
| | - Seungho Ryu
- From the Center for Cohort Studies, Total Healthcare Center (S.K., Y.C., J.C., J.K., H.-S.J., K.E.Y., S.R., H.S.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
- Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul, Korea (Y.C., J.C., E.G., S.R.)
| | - Hocheol Shin
- From the Center for Cohort Studies, Total Healthcare Center (S.K., Y.C., J.C., J.K., H.-S.J., K.E.Y., S.R., H.S.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Korea
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van Sloten TT, Tafflet M, Périer MC, Dugravot A, Climie RED, Singh-Manoux A, Empana JP. Association of Change in Cardiovascular Risk Factors With Incident Cardiovascular Events. JAMA 2018; 320:1793-1804. [PMID: 30398604 PMCID: PMC6248104 DOI: 10.1001/jama.2018.16975] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Accepted: 10/05/2018] [Indexed: 11/14/2022]
Abstract
Importance There is consistent evidence of the association between ideal cardiovascular health and lower incident cardiovascular disease (CVD); however, most studies used a single measure of cardiovascular health. Objective To examine how cardiovascular health changes over time and whether these changes are associated with incident CVD. Design, Setting, and Participants Prospective cohort study in a UK general community (Whitehall II), with examinations of cardiovascular health from 1985/1988 (baseline) and every 5 years thereafter until 2015/2016 and follow-up for incident CVD until March 2017. Exposures Using the 7 metrics of the American Heart Association (nonsmoking; and ideal levels of body mass index, physical activity, diet, blood pressure, fasting blood glucose, and total cholesterol), participants with 0 to 2, 3 to 4, and 5 to 7 ideal metrics were categorized as having low, moderate, and high cardiovascular health. Change in cardiovascular health over 10 years between 1985/1988 and 1997/1999 was considered. Main Outcome and Measure Incident CVD (coronary heart disease and stroke). Results The study population included 9256 participants without prior CVD (mean [SD] age at baseline, 44.8 [6.0] years; 2941 [32%] women), of whom 6326 had data about cardiovascular health change. Over a median follow-up of 18.9 years after 1997/1999, 1114 incident CVD events occurred. In multivariable analysis and compared with individuals with persistently low cardiovascular health (consistently low group, 13.5% of participants; CVD incident rate per 1000 person-years, 9.6 [95% CI, 8.4-10.9]), there was no significant association with CVD risk in the low to moderate group (6.8% of participants; absolute rate difference per 1000 person-years, -1.9 [95% CI, -3.9 to 0.1]; HR, 0.84 [95% CI, 0.66-1.08]), the low to high group, (0.3% of participants; absolute rate difference per 1000 person-years, -7.7 [95% CI, -11.5 to -3.9]; HR, 0.19 [95% CI, 0.03-1.35]), and the moderate to low group (18.0% of participants; absolute rate difference per 1000 person-years, -1.3 [95% CI, -3.0 to 0.3]; HR, 0.96 [95% CI, 0.80-1.15]). A lower CVD risk was observed in the consistently moderate group (38.9% of participants; absolute rate difference per 1000 person-years, -4.2 [95% CI, -5.5 to -2.8]; HR, 0.62 [95% CI, 0.53-0.74]), the moderate to high group (5.8% of participants; absolute rate difference per 1000 person-years, -6.4 [95% CI, -8.0 to -4.7]; HR, 0.39 [95% CI, 0.27-0.56]), the high to low group (1.9% of participants; absolute rate difference per 1000 person-years, -5.3 [95% CI, -7.8 to -2.8]; HR, 0.49 [95% CI, 0.29-0.83]), the high to moderate group (9.3% of participants; absolute rate difference per 1000 person-years, -4.5 [95% CI, -6.2 to -2.9]; HR, 0.66 [95% CI, 0.51-0.85]), and the consistently high group (5.5% of participants; absolute rate difference per 1000 person-years, -5.6 [95% CI, -7.4 to -3.9]; HR, 0.57 [95% CI, 0.40-0.80]). Conclusions and Relevance Among a group of participants without CVD who received follow-up over a median 18.9 years, there was no consistent relationship between direction of change in category of a composite metric of cardiovascular health and risk of CVD.
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Affiliation(s)
- Thomas T. van Sloten
- Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
- INSERM, UMR-S970, Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
- Cardiovascular Research Institute Maastricht, Department of Internal Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - Muriel Tafflet
- Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
- INSERM, UMR-S970, Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
| | - Marie-Cécile Périer
- Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
- INSERM, UMR-S970, Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
| | - Aline Dugravot
- INSERM, U1018, Centre for Research in Epidemiology and Population Health, Villejuif, France
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Rachel E. D. Climie
- Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
- INSERM, UMR-S970, Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
- Menzies Institute for Medical Research, University of Tasmania, Hobert, Australia
- Baker Heart and Diabetes Institute, Melbourne, Australia
| | - Archana Singh-Manoux
- INSERM, U1018, Centre for Research in Epidemiology and Population Health, Villejuif, France
- Department of Epidemiology and Public Health, University College London, London, United Kingdom
| | - Jean-Philippe Empana
- Université Paris Descartes, Sorbonne Paris Cité, Faculté de Médecine, Paris, France
- INSERM, UMR-S970, Paris Cardiovascular Research Center, Integrative Epidemiology of Cardiovascular Disease (Team 4), Paris, France
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