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Ahmed TAR, Al-Habbaa A, Naiem M, Mokhtar N, Elhady F. Effect of gender on spect myocardial perfusion imaging results in Egypt. Egypt Heart J 2024; 76:124. [PMID: 39264488 PMCID: PMC11393245 DOI: 10.1186/s43044-024-00560-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 09/09/2024] [Indexed: 09/13/2024] Open
Abstract
BACKGROUND Globally, Ischemic heart disease (IHD) is considered a leading cause of mortality and morbidity affecting men than women. The more the population ages, the more the prevalence. There was a concern about improper referral of women to MPI testing. We aimed to study if there a gender effect on the results of MPI studies and if this could have an impact on future referral or investigation selection for diagnosis of IHD as a general or specially in women. RESULTS Female gender represented 266 (60%) while male represented in 177 (40%). Males demonstrated significantly higher age (55 ± 10 vs. 49 ± 9, P < .0001), weight (85 ± 11 vs. 83 ± 13, P = 0.006), height (166 ± 4 vs. 165 ± 4, P = 0.02), and smoking (35% vs. 0%, P < 0.001) than females. Male gender was associated with ten times increased risk of positive MPI (OR = 10, 95% CI = 5.348-18.868, P < 0.001). Diabetes was associated with an increased risk of positive MPI (OR = 1.82, 95% CI = 1.052-3.148, P = 0.032). CONCLUSIONS Positive MPI test are more common in males. Female patients with positive MPI were younger in age than male patients. Diabetes mellitus and age are traditional strong predictors for the presence of positive MPI test.
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Affiliation(s)
| | - Ahmed Al-Habbaa
- Cardiology Department, Faculty of Medicine, Al-Azhar University, Cairo, Egypt.
| | - Mona Naiem
- Cardiology Department, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt
| | - Naglaa Mokhtar
- Cardiology Department, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt
| | - Fatma Elhady
- Cardiology Department, Faculty of Medicine for Girls, Al-Azhar University, Cairo, Egypt
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2
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Chao TH, Lin TH, Cheng CI, Wu YW, Ueng KC, Wu YJ, Lin WW, Leu HB, Cheng HM, Huang CC, Wu CC, Lin CF, Chang WT, Pan WH, Chen PR, Ting KH, Su CH, Chu CS, Chien KL, Yen HW, Wang YC, Su TC, Liu PY, Chang HY, Chen PW, Juang JMJ, Lu YW, Lin PL, Wang CP, Ko YS, Chiang CE, Hou CJY, Wang TD, Lin YH, Huang PH, Chen WJ. 2024 Guidelines of the Taiwan Society of Cardiology on the Primary Prevention of Atherosclerotic Cardiovascular Disease --- Part I. ACTA CARDIOLOGICA SINICA 2024; 40:479-543. [PMID: 39308649 PMCID: PMC11413940 DOI: 10.6515/acs.202409_40(5).20240724a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Accepted: 07/24/2024] [Indexed: 09/25/2024]
Abstract
Atherosclerotic cardiovascular disease (ASCVD) is one of the leading causes of death worldwide and in Taiwan. It is highly prevalent and has a tremendous impact on global health. Therefore, the Taiwan Society of Cardiology developed these best-evidence preventive guidelines for decision-making in clinical practice involving aspects of primordial prevention including national policies, promotion of health education, primary prevention of clinical risk factors, and management and control of clinical risk factors. These guidelines cover the full spectrum of ASCVD, including chronic coronary syndrome, acute coronary syndrome, cerebrovascular disease, peripheral artery disease, and aortic aneurysm. In order to enhance medical education and health promotion not only for physicians but also for the general public, we propose a slogan (2H2L) for the primary prevention of ASCVD on the basis of the essential role of healthy dietary pattern and lifestyles: "Healthy Diet and Healthy Lifestyles to Help Your Life and Save Your Lives". We also propose an acronym of the modifiable risk factors/enhancers and relevant strategies to facilitate memory: " ABC2D2EFG-I'M2 ACE": Adiposity, Blood pressure, Cholesterol and Cigarette smoking, Diabetes mellitus and Dietary pattern, Exercise, Frailty, Gout/hyperuricemia, Inflammation/infection, Metabolic syndrome and Metabolic dysfunction-associated fatty liver disease, Atmosphere (environment), Chronic kidney disease, and Easy life (sleep well and no stress). Some imaging studies can be risk enhancers. Some risk factors/clinical conditions are deemed to be preventable, and healthy dietary pattern, physical activity, and body weight control remain the cornerstone of the preventive strategy.
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Affiliation(s)
- Ting-Hsing Chao
- Division of Cardiology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan
- Division of Cardiology, Department of Internal Medicine, Chung-Shan Medical University Hospital; School of Medicine, Chung Shan Medical University, Taichung
| | - Tsung-Hsien Lin
- Division of Cardiology, Department of Internal Medicine Kaohsiung Medical University Hospital
- Faculty of Medicine and Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University
| | - Cheng-I Cheng
- Division of Cardiology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung; School of Medicine, College of Medicine, Chang Gung University, Taoyuan
| | - Yen-Wen Wu
- Division of Cardiology, Cardiovascular Medical Center, Far Eastern Memorial Hospital, New Taipei City
- School of Medicine, National Yang Ming Chiao Tung University, Taipei
- Graduate Institute of Medicine, Yuan Ze University, Taoyuan
| | - Kwo-Chang Ueng
- Division of Cardiology, Department of Internal Medicine, Chung-Shan Medical University Hospital; School of Medicine, Chung Shan Medical University, Taichung
| | - Yih-Jer Wu
- Department of Medicine and Institute of Biomedical Sciences, MacKay Medical College, New Taipei City
- Cardiovascular Center, Department of Internal Medicine, MacKay Memorial Hospital, Taipei
| | - Wei-Wen Lin
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung
| | - Hsing-Ban Leu
- School of Medicine, National Yang Ming Chiao Tung University, Taipei
- Cardiovascular Research Center, National Yang Ming Chiao Tung University
- Healthcare and Management Center
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital
| | - Hao-Min Cheng
- Ph.D. Program of Interdisciplinary Medicine (PIM), National Yang Ming Chiao Tung University College of Medicine; Division of Faculty Development; Center for Evidence-based Medicine, Taipei Veterans General Hospital; Institute of Public Health; Institute of Health and Welfare Policy, National Yang Ming Chiao Tung University College of Medicine
| | - Chin-Chou Huang
- School of Medicine, National Yang Ming Chiao Tung University, Taipei
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital
- Institute of Pharmacology, National Yang Ming Chiao Tung University, Taipei
| | - Chih-Cheng Wu
- Center of Quality Management, National Taiwan University Hospital Hsinchu Branch, Hsinchu; College of Medicine, National Taiwan University, Taipei; Institute of Biomedical Engineering, National Tsing-Hua University, Hsinchu; Institute of Cellular and System Medicine, National Health Research Institutes, Zhunan
| | - Chao-Feng Lin
- Department of Medicine, MacKay Medical College, New Taipei City; Department of Cardiology, MacKay Memorial Hospital, Taipei
| | - Wei-Ting Chang
- School of Medicine and Doctoral Program of Clinical and Experimental Medicine, College of Medicine and Center of Excellence for Metabolic Associated Fatty Liver Disease, National Sun Yat-sen University, Kaohsiung; Division of Cardiology, Department of Internal Medicine, Chi Mei Medical Center, Tainan
| | - Wen-Han Pan
- Institute of Biomedical Sciences, Academia Sinica, Taipei; Institute of Population Health Sciences, National Health Research Institutes, Miaoli; and Institute of Biochemistry and Biotechnology, National Taiwan University
| | - Pey-Rong Chen
- Department of Dietetics, National Taiwan University Hospital, Taipei
| | - Ke-Hsin Ting
- Division of Cardiology, Department of Internal Medicine, Yunlin Christian Hospital, Yunlin
| | - Chun-Hung Su
- Division of Cardiology, Department of Internal Medicine, Chung-Shan Medical University Hospital; School of Medicine, Chung Shan Medical University, Taichung
| | - Chih-Sheng Chu
- Division of Cardiology, Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University; Department of Internal Medicine, National Taiwan University Hospital and College of Medicine; Population Health Research Center, National Taiwan University, Taipei
| | - Hsueh-Wei Yen
- Division of Cardiology, Department of Internal Medicine Kaohsiung Medical University Hospital
| | - Yu-Chen Wang
- Division of Cardiology, Asia University Hospital; Department of Medical Laboratory Science and Biotechnology, Asia University; Division of Cardiology, China Medical University College of Medicine and Hospital, Taichung
| | - Ta-Chen Su
- Cardiovascular Center, Department of Internal Medicine, National Taiwan University Hospital
- Department of Environmental and Occupational Medicine, National Taiwan University College of Medicine
| | - Pang-Yen Liu
- Division of Cardiology, Department of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center
| | - Hsien-Yuan Chang
- Division of Cardiology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan
| | - Po-Wei Chen
- Division of Cardiology, Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan
| | - Jyh-Ming Jimmy Juang
- Heart Failure Center and Division of Cardiology, Department of Internal Medicine, National Taiwan University College of Medicine, and National Taiwan University Hospital
| | - Ya-Wen Lu
- Cardiovascular Center, Taichung Veterans General Hospital, Taichung
- Cardiovascular Research Center, National Yang Ming Chiao Tung University
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei
| | - Po-Lin Lin
- Division of Cardiology, Department of Internal Medicine, Hsinchu MacKay Memorial Hospital, Hsinchu
| | - Chao-Ping Wang
- Division of Cardiology, E-Da Hospital; School of Medicine for International Students, College of Medicine, I-Shou University, Kaohsiung
| | - Yu-Shien Ko
- Cardiovascular Division, Chang Gung Memorial Hospital; College of Medicine, Chang Gung University, Taoyuan
| | - Chern-En Chiang
- General Clinical Research Center and Division of Cardiology, Taipei Veterans General Hospital and National Yang Ming Chiao Tung University
| | - Charles Jia-Yin Hou
- Cardiovascular Center, Department of Internal Medicine, MacKay Memorial Hospital, Taipei
| | - Tzung-Dau Wang
- Cardiovascular Center and Divisions of Hospital Medicine and Cardiology, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine
| | - Yen-Hung Lin
- Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei
| | - Po-Hsun Huang
- Cardiovascular Research Center, National Yang Ming Chiao Tung University
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital
| | - Wen-Jone Chen
- Department of Internal Medicine, Min-Sheng General Hospital, Taoyuan; Department of Internal Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
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Zhao J, O’Hagan A, Salter-Townshend M. How group structure impacts the numbers at risk for coronary artery disease: polygenic risk scores and nongenetic risk factors in the UK Biobank cohort. Genetics 2024; 227:iyae086. [PMID: 38781512 PMCID: PMC11339605 DOI: 10.1093/genetics/iyae086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 03/22/2024] [Accepted: 05/08/2024] [Indexed: 05/25/2024] Open
Abstract
The UK Biobank (UKB) is a large cohort study that recruited over 500,000 British participants aged 40-69 in 2006-2010 at 22 assessment centers from across the United Kingdom. Self-reported health outcomes and hospital admission data are 2 types of records that include participants' disease status. Coronary artery disease (CAD) is the most common cause of death in the UKB cohort. After distinguishing between prevalence and incidence CAD events for all UKB participants, we identified geographical variations in age-standardized rates of CAD between assessment centers. Significant distributional differences were found between the pooled cohort equation scores of UKB participants from England and Scotland using the Mann-Whitney test. Polygenic risk scores of UKB participants from England and Scotland and from different assessment centers differed significantly using permutation tests. Our aim was to discriminate between assessment centers with different disease rates by collecting data on disease-related risk factors. However, relying solely on individual-level predictions and averaging them to obtain group-level predictions proved ineffective, particularly due to the presence of correlated covariates resulting from participation bias. By using the Mundlak model, which estimates a random effects regression by including the group means of the independent variables in the model, we effectively addressed these issues. In addition, we designed a simulation experiment to demonstrate the functionality of the Mundlak model. Our findings have applications in public health funding and strategy, as our approach can be used to predict case rates in the future, as both population structure and lifestyle changes are uncertain.
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Affiliation(s)
- Jinbo Zhao
- Insight Centre for Data Analytics, University College Dublin, Belfield, Dublin D04V1W8, Ireland
- School of Mathematics and Statistics, University College Dublin, Belfield, Dublin D04V1W8, Ireland
| | - Adrian O’Hagan
- Insight Centre for Data Analytics, University College Dublin, Belfield, Dublin D04V1W8, Ireland
- School of Mathematics and Statistics, University College Dublin, Belfield, Dublin D04V1W8, Ireland
| | - Michael Salter-Townshend
- School of Mathematics and Statistics, University College Dublin, Belfield, Dublin D04V1W8, Ireland
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Nazli SA, Rosman A, Mohd Kasim NA, Al-Khateeb A, Ul-Saufie AZ, Md Radzi AB, Ibrahim KS, Kasim SS, Nawawi H. Coronary risk factor profiles according to different age categories in premature coronary artery disease patients who have undergone percutaneous coronary intervention. Sci Rep 2024; 14:15326. [PMID: 38961082 PMCID: PMC11222582 DOI: 10.1038/s41598-024-53539-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Accepted: 02/01/2024] [Indexed: 07/05/2024] Open
Abstract
Many studies have investigated the coronary risk factors (CRFs) among premature coronary artery disease (PCAD) patients. However, reports on the proportion and CRFs of PCAD according to different age cut-offs for PCAD is globally under-reported. This study aimed to determine the proportion of PCAD patients and analyse the significant CRFs according to different age cut-offs among percutaneous coronary intervention (PCI)-treated patients. Patients who underwent PCI between 2007 and 2018 in two cardiology centres were included (n = 29,241) and were grouped into four age cut-off groups that defines PCAD: (A) Males/females: < 45, (B) Males: < 50; Females: < 55, (C) Males: < 55; Females: < 60 and (D) Males: < 55; Females: < 65 years old. The average proportion of PCAD was 28%; 9.2% for group (A), 21.5% for group (B), 38.6% and 41.9% for group (C) and (D), respectively. The top three CRFs of PCAD were LDL-c level, TC level and hypertension (HTN). Malay ethnicity, smoking, obesity, family history of PCAD, TC level and history of MI were the independent predictors of PCAD across all age groups. The proportion of PCAD in Malaysia is higher compared to other studies. The most significant risk factors of PCAD are LDL-c, TC levels and HTN. Early prevention, detection and management of the modifiable risk factors are highly warranted to prevent PCAD.
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Affiliation(s)
- Sukma Azureen Nazli
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Universiti Teknologi MARA, Selangor, Malaysia.
- Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia.
| | - Azhari Rosman
- Institut Jantung Negara (IJN), Kuala Lumpur, Malaysia
| | - Noor Alicezah Mohd Kasim
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Universiti Teknologi MARA, Selangor, Malaysia
- Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia
| | - Alyaa Al-Khateeb
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Universiti Teknologi MARA, Selangor, Malaysia
- Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia
| | - Ahmad Zia Ul-Saufie
- Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Selangor, Malaysia
| | | | | | - Sazzli Shahlan Kasim
- Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia
- Cardiac Vascular and Lung Research Institute (CaVaLRI), Universiti Teknologi MARA, Selangor, Malaysia
| | - Hapizah Nawawi
- Institute of Pathology, Laboratory and Forensic Medicine (I-PPerForM), Universiti Teknologi MARA, Selangor, Malaysia.
- Faculty of Medicine, Universiti Teknologi MARA, Selangor, Malaysia.
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Han C, Cheng C, Liu Y, Fang Q, Li C, Cui F, Li X. Enhancing the health benefits of air quality improvement: a comparative study across diverse scenarios. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:44244-44253. [PMID: 38937357 DOI: 10.1007/s11356-024-33919-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 06/03/2024] [Indexed: 06/29/2024]
Abstract
In many studies, linear methods were used to calculate health benefits of air quality improvement, but the relationship between air pollutants and diseases may be complex and nonlinear. In addition, previous studies using reference number as average number of diseases may overestimate the health benefits. Therefore, the nonlinear model estimation and resetting of the reference number were very important. Hospital admission data for coronary heart disease (CHD), meteorological data, and air pollutant data of Zibo City from 2015 to 2019 were collected. The generalized additive model (GAM) was used to explore the association between air pollutants and hospital admission for CHD, and to evaluate the effects on health benefits under different reference number settings. A total of 21,105 hospitalized cases for CHD were reported in Zibo during the study period. The results of the GAM showed there was a log-linear exposure-response relationship between O3 and hospital admissions for CHD, with RR (relative risk) of 1.0143 (95% CI: 1.0047 ~ 1.0239). There were log-nonlinear exposure-response relationships between PM10, PM2.5, SO2, and hospital admissions for CHD. With the increase of pollutants concentrations, the risk for hospital admission showed a trend of increasing first and then decreasing. Compared with the average hospital admissions as the reference number, health benefits calculated by hospital admissions predicted by the GAM model yielded lower. Using the World Health Organization air quality guidelines as reference, attributable fractions of O3, PM10, and PM2.5 were 1.97% (95% CI: 0.63 ~ 3.40%), 11.82% (95% CI: 8.60 ~ 15.24%), and 11.82% (95% CI: 8.79 ~ 15.04%), respectively. When quantifying health benefits brought by improving air quality, corresponding calculation methods should first be determined according to the exposure-response relationships between air pollutants and outcomes. Then, applying the average hospital admissions as reference number may overestimate health benefits resulting from improved air quality.
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Affiliation(s)
- Chuang Han
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China
| | - Chuanlong Cheng
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China
| | - Ying Liu
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China
| | - Qidi Fang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China
| | - Chunyu Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China
| | - Feng Cui
- Zibo Center for Disease Control and Prevention, Zibo, Shandong, China
| | - Xiujun Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, 44# Wenhuaxi Road, Lixia District, Jinan, 250012, Shandong, China.
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Khoja A, Andraweera PH, Lassi ZS, Padhani ZA, Ali A, Zheng M, Pathirana MM, Aldridge E, Wittwer MR, Chaudhuri DD, Tavella R, Arstall MA. Modifiable and Non-Modifiable Risk Factors for Premature Coronary Heart Disease (PCHD): Systematic Review and Meta-Analysis. Heart Lung Circ 2024; 33:265-280. [PMID: 38365496 DOI: 10.1016/j.hlc.2023.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 12/01/2023] [Accepted: 12/07/2023] [Indexed: 02/18/2024]
Abstract
AIM We aimed to compare the prevalence of modifiable and non-modifiable coronary heart disease (CHD) risk factors among those with premature CHD and healthy individuals. METHODS PubMed, CINAHL, Embase, and Web of Science databases were searched (review protocol is registered in PROSPERO CRD42020173216). The quality of studies was assessed using the National Heart, Lung and Blood Institute tool for cross-sectional, cohort and case-control studies. Meta-analyses were performed using Review Manager 5.3. Effect sizes for categorical and continuous variables, odds ratio (OR) and mean differences (MD)/standardised mean differences (SMD) with 95% confidence intervals (CI) were reported. RESULTS A total of n=208 primary studies were included in this review. Individuals presenting with premature CHD (PCHD, age ≤65 years) had higher mean body mass index (MD 0.54 kg/m2, 95% CI 0.24, 0.83), total cholesterol (SMD 0.27, 95% CI 0.17, 0.38), triglycerides (SMD 0.50, 95% CI 0.41, 0.60) and lower high-density lipoprotein cholesterol (SMD 0.79, 95% CI: -0.91, -0.68) compared with healthy individuals. Individuals presenting with PCHD were more likely to be smokers (OR 2.88, 95% CI 2.51, 3.31), consumed excessive alcohol (OR 1.40, 95% CI 1.05, 1.86), had higher mean lipoprotein (a) levels (SMD 0.41, 95% CI 0.28, 0.54), and had a positive family history of CHD (OR 3.65, 95% CI 2.87, 4.66) compared with healthy individuals. Also, they were more likely to be obese (OR 1.59, 95% CI 1.32, 1.91), and to have had dyslipidaemia (OR 2.74, 95% CI 2.18, 3.45), hypertension (OR 2.80, 95% CI 2.28, 3.45), and type 2 diabetes mellitus (OR 2.93, 95% CI 2.50, 3.45) compared with healthy individuals. CONCLUSION This meta-analysis confirms current knowledge of risk factors for PCHD, and identifying these early may reduce CHD in young adults.
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Affiliation(s)
- Adeel Khoja
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia.
| | - Prabha H Andraweera
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Zohra S Lassi
- The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia; School of Public Health, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia
| | - Zahra A Padhani
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
| | - Anna Ali
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
| | - Mingyue Zheng
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; School of Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Maleesa M Pathirana
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Emily Aldridge
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Melanie R Wittwer
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Debajyoti D Chaudhuri
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia
| | - Rosanna Tavella
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA, Australia; Department of Cardiology, Basil Hetzel Institute for Translational Health Research, The Queen Elizabeth Hospital, Adelaide, SA, Australia
| | - Margaret A Arstall
- Cardiology Unit, Northern Adelaide Local Health Network, Adelaide, SA, Australia; Medical Specialties, Faculty of Health Sciences, The University of Adelaide, Adelaide, SA, Australia
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7
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Martin SS, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Barone Gibbs B, Beaton AZ, Boehme AK, Commodore-Mensah Y, Currie ME, Elkind MSV, Evenson KR, Generoso G, Heard DG, Hiremath S, Johansen MC, Kalani R, Kazi DS, Ko D, Liu J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Perman SM, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Tsao CW, Urbut SM, Van Spall HGC, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Palaniappan LP. 2024 Heart Disease and Stroke Statistics: A Report of US and Global Data From the American Heart Association. Circulation 2024; 149:e347-e913. [PMID: 38264914 DOI: 10.1161/cir.0000000000001209] [Citation(s) in RCA: 182] [Impact Index Per Article: 182.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND The American Heart Association (AHA), in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, nutrition, sleep, and obesity) and health factors (cholesterol, blood pressure, glucose control, and metabolic syndrome) that contribute to cardiovascular health. The AHA Heart Disease and Stroke Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, brain health, complications of pregnancy, kidney disease, congenital heart disease, rhythm disorders, sudden cardiac arrest, subclinical atherosclerosis, coronary heart disease, cardiomyopathy, heart failure, valvular disease, venous thromboembolism, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The AHA, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States and globally to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2024 AHA Statistical Update is the product of a full year's worth of effort in 2023 by dedicated volunteer clinicians and scientists, committed government professionals, and AHA staff members. The AHA strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional global data, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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8
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Wal A, Verma N, Balakrishnan SK, Gahlot V, Dwivedi S, Sahu PK, Tabish M, Wal P. A Systematic Review of Herbal Interventions for the Management of Cardiovascular Diseases. Curr Cardiol Rev 2024; 20:e030524229664. [PMID: 38706368 PMCID: PMC11337612 DOI: 10.2174/011573403x286573240422104647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 01/30/2024] [Accepted: 02/20/2024] [Indexed: 05/07/2024] Open
Abstract
BACKGROUND Cardiovascular diseases represent a significant global health burden, necessitating diverse approaches for effective management. Herbal interventions have gained attention as potential adjuncts or alternatives to conventional therapies due to their perceived safety and therapeutic potential. This structured abstract provides a comprehensive review of herbal interventions for the management of CVDs, summarising key findings, mechanisms of action, and clinical implications. OBJECTIVE This systematic review aims to evaluate the impact of various herbal interventions employed for managing cardiovascular diseases. METHOD We conducted an extensive literature search across electronic databases, including PubMed, Scopus, and Web of Science, from inception to 2022. Studies were included if they investigated the use of herbal remedies for preventing or treating CVDs. Data extraction and synthesis focused on botanical sources, active compounds, mechanisms of action, and clinical outcomes. RESULT Numerous herbal interventions have demonstrated promising cardiovascular benefits. A number of medicinal herbs well identified to treat CVD are Moringaoleifera, Ginseng, Ginkgo biloba, Celosia argentea, Gongronematrifolium, Gynostemmapentaphyllum, Bombaxceiba, Gentianalutea, Allium sativum, Crataegus spp, Curcuma longa, Camellia sinensis, and Zingiber officinale. Mechanistic insights reveal that herbal interventions often target multiple pathways involved in CVD pathogenesis. These mechanisms encompass anti-inflammatory, antioxidant, anti-thrombotic, anti-hypertensive, and lipid-lowering effects. Additionally, some herbs enhance endothelial function, promote nitric oxide production, and exert vasodilatory effects, contributing to improved cardiovascular health. Clinical studies have provided evidence of the efficacy of certain herbal interventions in reducing CVD risk factors and improving patient outcomes. However, more rigorous, large-scale clinical trials are needed to establish their long-term safety and effectiveness. It is crucial to consider potential herb-drug interactions and standardise dosages for reliable therapeutic outcomes. CONCLUSION This comprehensive review highlights the potential of herbal interventions as valuable adjuncts or alternatives for managing cardiovascular diseases. Herbal remedies offer diverse mechanisms of action, targeting key CVD risk factors and pathways. While promising, their clinical utility warrants further investigation through well-designed trials to establish their safety and efficacy, paving the way for integrated approaches to cardiovascular disease management. Healthcare providers and patients should engage in informed discussions about the use of herbal interventions alongside conventional therapies in the context of CVD prevention and treatment.
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Affiliation(s)
- Ankita Wal
- PSIT-Pranveer Singh Institute of Technology (Pharmacy) NH19 Kanpur Agra Highway, Bhauti Kanpur, Uttar Pradesh, India
| | - Neha Verma
- PSIT-Pranveer Singh Institute of Technology (Pharmacy) NH19 Kanpur Agra Highway, Bhauti Kanpur, Uttar Pradesh, India
| | | | - Vinod Gahlot
- HIMT College of Pharmacy, Institutional Area, Knowledge Park - 1, Greater Noida- 201310, India
| | - Sumeet Dwivedi
- Acropolis Institute of Pharmaceutical Education and Research Indore, MP, India
| | - Pankaj Kumar Sahu
- Department of Botany, Govt. S.S.P. College Waraseoni, District Balaghat, India
| | - Mohammad Tabish
- Department of Pharmacology, College of Medicine, Shaqra University, Shaqra 11961, Saudi Arabia
| | - Pranay Wal
- PSIT-Pranveer Singh Institute of Technology (Pharmacy) NH19 Kanpur Agra Highway, Bhauti Kanpur, Uttar Pradesh, India
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9
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Chittaragi GH, Ambali AP, Honnutagi R, Ganesh V. Interleukin-6 and uric acid among type 2 diabetes mellitus patients with coronary artery disease. Bioinformation 2023; 19:1134-1138. [PMID: 38250529 PMCID: PMC10794757 DOI: 10.6026/973206300191134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Revised: 12/31/2023] [Accepted: 12/31/2023] [Indexed: 01/23/2024] Open
Abstract
The type 2 diabetes mellitus is considering as metabolic disorder, the unfavourable long-term outcomes and closely associated with chronic inflammation. The present study investigated to explore the association of interleukin-6 and uric acid in patients with type 2 diabetes mellitus and coronary artery disease. Newly diagnosed CAD patients with T2DM (100) and T2DM and CAD patients after 5 years (100) underwent detailed anthropometric, demographic, biochemical and experimental characterization. The serum levels of interleukin 6 were measured by enzyme linked immuno-sorbent assay. The T2DM and CAD patients after 5 years had significant higher circulating levels of interleukin 6 and significant decreased levels of uric acid. The newly diagnosed CAD patients with T2DM had significant higher circulating levels of interleukin 6. Significant positive correlation was found between fat mass and IL-6, and negative correlation with uric acid and IL-6, (P<0.05). The both the groups of T2DM with CAD patients shown significantly elevated levels of interleukin 6, based on this findings interleukin 6 might be used as early predictable and prognostic marker for CAD in patients with T2DM.
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Affiliation(s)
- Gadigeppa H Chittaragi
- Department of Medicine, Sri BM Patil Medical College Hospital and Research Centre, BLD & DU, Vijayapura, Karnataka, India
| | - Anand P Ambali
- Department of Biochemistry, ESIC Medical College and Hospital, Kalaburagi, Karnataka, India
| | - Rajesh Honnutagi
- Department of Biochemistry, ESIC Medical College and Hospital, Kalaburagi, Karnataka, India
| | - Veluri Ganesh
- Department of Biochemistry, ESIC Medical College and Hospital, Kalaburagi, Karnataka, India
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10
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Dijkstra T, van den Heuvel LM, van Tintelen JP, van der Werf C, van Langen IM, Christiaans I. Predicting personal cardiovascular disease risk based on family health history: Development of expert-based family criteria for the general population. Eur J Hum Genet 2023; 31:1381-1386. [PMID: 36973393 PMCID: PMC10689818 DOI: 10.1038/s41431-023-01334-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 02/23/2023] [Accepted: 03/09/2023] [Indexed: 03/29/2023] Open
Abstract
In inherited and familial cardiovascular diseases (CVDs), relatives without current symptoms can still be at risk for early and preventable cardiovascular events. One way to help people evaluate their potential risk of CVD is through a risk-assessment tool based on family health history. However, family criteria including inherited CVD risk to be used by laypersons are non-existent. In this project, we employed a qualitative study design to develop expert-based family criteria for use in individual risk assessment. In the first phase of the project, we identified potential family criteria through an online focus group with physicians with expertise in monogenic and/or multifactorial CVDs. The family criteria from phase one were then used as input for a three-round Delphi procedure carried out in a larger group of expert physicians to reach consensus on appropriate criteria. This led to consensus on five family criteria that focus on cardiovascular events at young age (i.e., sudden death, any CVD, implantable cardioverter-defibrillator, aortic aneurysm) and/or an inherited CVD in one or more close relatives. We then applied these family criteria to a high-risk cohort from a clinical genetics department and demonstrated that they have substantial diagnostic accuracy. After further evaluation in a general population cohort, we decided to only use the family criteria for first-degree relatives. We plan to incorporate these family criteria into a digital tool for easy risk assessment by the public and, based on expert advice, will develop supporting information for general practitioners to act upon potential risks identified by the tool. Results from an expert focus group, a Delphi method in a larger group of experts, and evaluation in two cohorts were used to develop family criteria for assessing cardiovascular disease risk based on family health history for a digital risk-prediction tool for use by the general population. CVD Cardiovascular disease, ICD Implantable cardioverter defibrillator, TAA Thoracic aortic aneurysm, AAA Abdominal aortic aneurysm.
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Affiliation(s)
- Tetske Dijkstra
- Department of Clinical Genetics, University Medical Center Groningen / University of Groningen, Groningen, the Netherlands
| | - Lieke M van den Heuvel
- Department of Clinical Genetics, University Medical Center Groningen / University of Groningen, Groningen, the Netherlands
- Department of Clinical Genetics, Academic Medical Center / University of Amsterdam, Amsterdam, the Netherlands
- Department of Biomedical Genetics, University Medical Center Utrecht / University Utrecht, Utrecht, the Netherlands
| | - J Peter van Tintelen
- Department of Biomedical Genetics, University Medical Center Utrecht / University Utrecht, Utrecht, the Netherlands
| | - Christian van der Werf
- Heart Center, Department of Clinical and Experimental Cardiology, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands
| | - Irene M van Langen
- Department of Clinical Genetics, University Medical Center Groningen / University of Groningen, Groningen, the Netherlands
| | - Imke Christiaans
- Department of Clinical Genetics, University Medical Center Groningen / University of Groningen, Groningen, the Netherlands.
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11
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Lee PY, Saad K, Hossain A, Lieu I, Allencherril J. Initial Evaluation and Management of Patients Presenting with Acute Chest Pain in the Emergency Department. Curr Cardiol Rep 2023; 25:1677-1686. [PMID: 37889421 DOI: 10.1007/s11886-023-01984-6] [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] [Accepted: 10/17/2023] [Indexed: 10/28/2023]
Abstract
PURPOSE OF THE REVIEW To review the initial evaluation of chest pain in the emergency department (ED), with a focus on coronary artery disease (CAD) and acute coronary syndromes (ACS), using consensus statements from major cardiovascular disease organizations. RECENT FINDINGS Major cardiovascular organizations have released consensus statements on this topic, notably the 2021 AHA/ACC/ASE/CHEST/SAEM/SCCT/SCMR Guideline for the Evaluation and Diagnosis of Chest Pain and the 2022 ACC Expert Consensus Decision Pathway on the Evaluation and Disposition of Acute Chest Pain in the Emergency Department. Also, recent studies have evaluated the use of high sensitivity troponin (hs-cTn) to safely rule out myocardial infarction (MI), with the development of rule-out pathways designed to be utilized in the ED. This review highlights the comprehensive differential diagnoses of chest pain in the ED and urgent management of these etiologies, with a focus on cardiovascular etiologies. There exist a few rule-out pathways recommended by major cardiovascular organizations, notably the high-STEACS and the ESC 0/1 and 0/2 pathways that can safely and quickly discharge patients with low risk of MI.
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Affiliation(s)
- Paul Y Lee
- Department of Medicine, Rutgers New Jersey Medical School, 150 Bergen Street, UH I-248, Newark, NJ, 07101, USA.
| | - Kyrollos Saad
- Department of Medicine, Rutgers New Jersey Medical School, 150 Bergen Street, UH I-248, Newark, NJ, 07101, USA
| | - Afif Hossain
- Department of Cardiology, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Irene Lieu
- Department of Emergency Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Joseph Allencherril
- Department of Medicine, Division of Cardiovascular Medicine, The University of Texas Medical Branch at Galveston, Galveston, TX, USA
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12
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Barrera L. Editorial comment equal access for health care for unequal outcome. Eur J Prev Cardiol 2023; 30:1524-1525. [PMID: 37337733 DOI: 10.1093/eurjpc/zwad207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Revised: 06/12/2023] [Accepted: 06/14/2023] [Indexed: 06/21/2023]
Affiliation(s)
- Lena Barrera
- Department of Internal Medicine and School of Public Health, Universidad del Valle, Cali, Colombia
- Department of Primary Care and Public Health, Imperial College London, London, UK
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13
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Cho SMJ, Koyama S, Honigberg MC, Surakka I, Haidermota S, Ganesh S, Patel AP, Bhattacharya R, Lee H, Kim HC, Natarajan P. Genetic, sociodemographic, lifestyle, and clinical risk factors of recurrent coronary artery disease events: a population-based cohort study. Eur Heart J 2023; 44:3456-3465. [PMID: 37350734 PMCID: PMC10516626 DOI: 10.1093/eurheartj/ehad380] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 05/07/2023] [Accepted: 05/25/2023] [Indexed: 06/24/2023] Open
Abstract
AIMS Complications of coronary artery disease (CAD) represent the leading cause of death among adults globally. This study examined the associations and clinical utilities of genetic, sociodemographic, lifestyle, and clinical risk factors on CAD recurrence. METHODS AND RESULTS Data were from 7024 UK Biobank middle-aged adults with established CAD at enrolment. Cox proportional hazards regressions modelled associations of age at enrolment, age at first CAD diagnosis, sex, cigarette smoking, physical activity, diet, sleep, Townsend Deprivation Index, body mass index, blood pressure, blood lipids, glucose, lipoprotein(a), C reactive protein, estimated glomerular filtration rate (eGFR), statin prescription, and CAD polygenic risk score (PRS) with first post-enrolment CAD recurrence. Over a median [interquartile range] follow-up of 11.6 [7.2-12.7] years, 2003 (28.5%) recurrent CAD events occurred. The hazard ratio (95% confidence interval [CI]) for CAD recurrence was the most pronounced with current smoking (1.35, 1.13-1.61) and per standard deviation increase in age at first CAD (0.74, 0.67-0.82). Additionally, age at enrolment, CAD PRS, C-reactive protein, lipoprotein(a), glucose, low-density lipoprotein cholesterol, deprivation, sleep quality, eGFR, and high-density lipoprotein (HDL) cholesterol also significantly associated with recurrence risk. Based on C indices (95% CI), the strongest predictors were CAD PRS (0.58, 0.57-0.59), HDL cholesterol (0.57, 0.57-0.58), and age at initial CAD event (0.57, 0.56-0.57). In addition to traditional risk factors, a comprehensive model improved the C index from 0.644 (0.632-0.654) to 0.676 (0.667-0.686). CONCLUSION Sociodemographic, clinical, and laboratory factors are each associated with CAD recurrence with genetic risk, age at first CAD event, and HDL cholesterol concentration explaining the most.
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Affiliation(s)
- So Mi Jemma Cho
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, 415 Main St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
- Integrative Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Satoshi Koyama
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, 415 Main St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
| | - Michael C Honigberg
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, 415 Main St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, 25 Shattuck St., Boston, MA 02114, USA
| | - Ida Surakka
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, 415 Main St., Cambridge, MA 02142, USA
- Division of Cardiology, Department of Internal Medicine, University of Michigan, 1500 E Medical Center Dr., Ann Arbor, MI 48109, USA
| | - Sara Haidermota
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, 415 Main St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
| | - Shriienidhie Ganesh
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, 415 Main St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
| | - Aniruddh P Patel
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, 415 Main St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, 25 Shattuck St., Boston, MA 02114, USA
| | - Romit Bhattacharya
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, 415 Main St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, 25 Shattuck St., Boston, MA 02114, USA
| | - Hokyou Lee
- Department of Preventive Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Hyeon Chang Kim
- Integrative Research Center for Cerebrovascular and Cardiovascular Diseases, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
- Department of Preventive Medicine, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
- Institute for Innovation in Digital Healthcare, Yonsei University Health System, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Pradeep Natarajan
- Program in Medical and Population Genetics and the Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, 415 Main St., Cambridge, MA 02142, USA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, 185 Cambridge St., Boston, MA 02114, USA
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, 55 Fruit St., Boston, MA 02114, USA
- Department of Medicine, Harvard Medical School, 25 Shattuck St., Boston, MA 02114, USA
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14
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Saadatagah S, Naderian M, Dikilitas O, Hamed ME, Bangash H, Kullo IJ. Polygenic Risk, Rare Variants, and Family History: Independent and Additive Effects on Coronary Heart Disease. JACC. ADVANCES 2023; 2:100567. [PMID: 38939477 PMCID: PMC11198423 DOI: 10.1016/j.jacadv.2023.100567] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/30/2023] [Accepted: 06/09/2023] [Indexed: 06/29/2024]
Abstract
Background Genetic factors are not included in prediction models for coronary heart disease (CHD). Objectives The authors assessed the predictive utility of a polygenic risk score (PRS) for CHD (defined as myocardial infarction, coronary revascularization, or cardiovascular death) and whether the risks due to monogenic familial hypercholesterolemia (FH) and family history (FamHx) are independent of and additive to the PRS. Methods In UK-biobank participants, PRSCHD was calculated using metaGRS, and 10-year risk for incident CHD was estimated using the pooled cohort equations (PCE). The area under the curve (AUC) of the receiver operator curve and net reclassification improvement (NRI) were assessed. FH was defined as the presence of a pathogenic or likely pathogenic variant in LDLR, APOB, or PCSK9. FamHx was defined as a diagnosis of CHD in first-degree relatives. Independent and additive effects of PRSCHD, FH, and FamHx were evaluated in stratified analyses. Results In 323,373 participants with genotype data, the addition of PRSCHD to PCE increased the AUC from 0.759 (95% CI: 0.755-0.763) to 0.773 (95% CI: 0.769-0.777). The AUC and NRIEvent for PRSCHD were higher before the age of 55 years. Of 199,997 participants with exome sequence data, 10,000 had a PRSCHD ≥95th percentile (PRSP95), 673 had FH, and 46,163 had FamHx. The CHD risk associated with PRSP95 was independent of FH and FamHx. The risks associated with combinations of PRSCHD, FH, and FamHx were additive and comprehensive estimates could be obtained by multiplying the risk from each genetic factor. Conclusions Incorporating PRSCHD into the PCE improves risk prediction for CHD, especially at younger ages. The associations of PRSCHD, FH, and FamHx with CHD were independent and additive.
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Affiliation(s)
| | | | - Ozan Dikilitas
- Departments of Internal Medicine and Cardiovascular Medicine, and Mayo Clinician-Investigator Training Program, Mayo Clinic, Rochester, Minnesota, USA
| | - Marwan E. Hamed
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Hana Bangash
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Iftikhar J. Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
- Gonda Vascular Center, Mayo Clinic, Rochester, Minnesota, USA
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15
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Caldeira D, Marques Antunes M, Alves M, Pinto FJ. Family history of premature myocardial infarction and the effect of aspirin. Eur J Prev Cardiol 2023; 30:e54-e56. [PMID: 36515638 DOI: 10.1093/eurjpc/zwac295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 11/10/2022] [Accepted: 12/12/2022] [Indexed: 12/15/2022]
Affiliation(s)
- Daniel Caldeira
- Centro Cardiovascular da Universidade de Lisboa-CCUL, CAML, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Serviço de Cardiologia, Hospital Universitário de Santa Maria-CHULN, Lisboa, Portugal
- Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
| | - Miguel Marques Antunes
- Centro Cardiovascular da Universidade de Lisboa-CCUL, CAML, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Cardiologia, Centro Hospitalar Universitário Lisboa Central, Lisboa, Portugal
| | - Mariana Alves
- Laboratory of Clinical Pharmacology and Therapeutics, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Serviço de Medicina III, Hospital Pulido Valente, CHLN, Lisboa, Portugal
| | - Fausto J Pinto
- Centro Cardiovascular da Universidade de Lisboa-CCUL, CAML, Faculdade de Medicina, Universidade de Lisboa, Lisboa, Portugal
- Serviço de Cardiologia, Hospital Universitário de Santa Maria-CHULN, Lisboa, Portugal
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Ye J, Liu C, Deng Z, Zhu Y, Zhang S. Risk factors associated with contrast-associated acute kidney injury in ST-segment elevation myocardial infarction patients: a systematic review and meta-analysis. BMJ Open 2023; 13:e070561. [PMID: 37380206 PMCID: PMC10410875 DOI: 10.1136/bmjopen-2022-070561] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 06/13/2023] [Indexed: 06/30/2023] Open
Abstract
OBJECTIVE The objective of this systematic review and meta-analysis was to evaluate the risk factors for contrast-associated acute kidney injury (CA-AKI) in ST-elevation myocardial infarction patients treated with primary percutaneous coronary intervention. DESIGN Systematic review and meta-analysis. DATA SOURCES We searched the databases of PubMed, Embase and Ovid, up to February 2022, for observational studies that investigated the association between risk factors and CA-AKI. RESULTS A total of 21 studies were included in the meta-analysis. Of the total 22 015 participants, 2728 developed CA-AKI. Pooled incidence was 11.91% (95% CI 9.69%, 14.14%). Patients with CA-AKI were more likely to be older, female, also had comorbidities (hypertension, diabetes, previous heart failure). Smoking (OR: 0.60; 95% CI 0.52, 0.69) and family history of CAD (coronary artery disease) (OR: 0.76; 95% CI 0.60, 0.95) were associated with lower risk of CA-AKI. Left anterior descending (LAD) artery occlusion (OR: 1.39; 95% CI 1.21, 1.59), left main disease (OR: 4.62; 95% CI 2.24, 9.53) and multivessel coronary disease (OR: 1.33; 95% CI 1.11, 1.60) were risk factors for CA-AKI. Contrast volume (weighted mean difference: 20.40; 95% CI 11.02, 29.79) was associated with increased risk in patients receiving iso-osmolar or low-osmolar non-ionic contrast. CONCLUSIONS In addition to the known risk factors, LAD artery infarction, left main disease and multivessel disease are risk factors for CA-AKI. The unexpected favourable association between smoking, as well as family history of CAD, and CA-AKI requires further investigation. PROSPERO REGISTRATION NUMBER CRD42021289868.
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Affiliation(s)
- Jiahao Ye
- Department of Cardiology, Guangzhou Red Cross Hospital, Guangzhou, Guangdong Province, China
| | - Chaoyun Liu
- Department of Cardiology, Guangzhou Red Cross Hospital, Guangzhou, Guangdong Province, China
| | - Zhanyu Deng
- Department of Cardiology, Guangzhou Red Cross Hospital, Guangzhou, Guangdong Province, China
| | - Youfeng Zhu
- Department Of Intensive Care Unit, Guangzhou Red Cross Hospital, Guangzhou, Guangdong Province, China
| | - Shaoheng Zhang
- Department of Cardiology, Guangzhou Red Cross Hospital, Guangzhou, Guangdong Province, China
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Tsao CW, Aday AW, Almarzooq ZI, Anderson CAM, Arora P, Avery CL, Baker-Smith CM, Beaton AZ, Boehme AK, Buxton AE, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Fugar S, Generoso G, Heard DG, Hiremath S, Ho JE, Kalani R, Kazi DS, Ko D, Levine DA, Liu J, Ma J, Magnani JW, Michos ED, Mussolino ME, Navaneethan SD, Parikh NI, Poudel R, Rezk-Hanna M, Roth GA, Shah NS, St-Onge MP, Thacker EL, Virani SS, Voeks JH, Wang NY, Wong ND, Wong SS, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2023 Update: A Report From the American Heart Association. Circulation 2023; 147:e93-e621. [PMID: 36695182 DOI: 10.1161/cir.0000000000001123] [Citation(s) in RCA: 1455] [Impact Index Per Article: 1455.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Epidemiology and Prevention Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update with review of published literature through the year before writing. The 2023 Statistical Update is the product of a full year's worth of effort in 2022 by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. The American Heart Association strives to further understand and help heal health problems inflicted by structural racism, a public health crisis that can significantly damage physical and mental health and perpetuate disparities in access to health care, education, income, housing, and several other factors vital to healthy lives. This year's edition includes additional COVID-19 (coronavirus disease 2019) publications, as well as data on the monitoring and benefits of cardiovascular health in the population, with an enhanced focus on health equity across several key domains. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Verified Parental Cardiovascular Events for Young and Middle-Aged Ischaemic Stroke Patients and Controls. Acta Neurol Scand 2023. [DOI: 10.1155/2023/3864506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023]
Abstract
Introduction. Nonmodifiable cardiovascular risk factors, like age and sex, are easily quantifiable. Due to immense technical progress in diagnostics and medical data storage, the aim of this study was to quantify, verify, and to compare parental cardiovascular events (CVE) as an additional nonmodifiable risk factor for young and middle-aged ischaemic stroke patients and controls. Methods. Information about parental CVE was first obtained by standardized questionnaires answered by 385 acute ischaemic stroke patients (15-60 years of age) and 260 controls. After consent to contact living and include deceased parents, patients and controls provided necessary personal identification of their parents. Thereafter, CVE were verified by standardized questionnaires answered by parents or medical records in case of deceased parents. Results. One hundred-and-nine (14.2%) of 770 patient parents vs. 128 (24.6%) of 520 control parents were not available for verification. Active participation was obtained for 229 (73.9%) of 310 patient parents vs.113 (58.2%) of 194 control parents. Medical record verification was obtained for 192 (54.7%) of 351 deceased patient parents, vs.103 (52.0%) of 198 deceased control parents. This study showed highest death rates of fathers (65.3% patient fathers and 57.6% control fathers) and highest numbers of CVE, especially myocardial infarction among patient fathers of patients aged 50-60 years. Discussion and Conclusion. Obtaining verified parental CVE as a nonmodifiable risk factor is still challenging, despite widely available digital medical information. To attain more accurate information on parental CVE, we recommend active involvement of family members in addition to medical record verification, especially for patients aged <50 years. Trial Registration. This trial is registered with NCT01597453
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19
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Schwarz A, Demuth I, Landmesser U, Haghikia A, König M, Steinhagen-Thiessen E. Low-density lipoprotein cholesterol goal attainment in patients with clinical evidence of familial hypercholesterolemia and elevated Lp(a). Lipids Health Dis 2022; 21:114. [PMID: 36324160 PMCID: PMC9628073 DOI: 10.1186/s12944-022-01708-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/26/2022] [Indexed: 11/05/2022] Open
Abstract
BACKGROUND Although potent lipid-lowering therapies are available, patients commonly fall short of recommended low-density lipoprotein cholesterol (LDL-C) levels. The aim of this study was to examine the relationship between familial hypercholesterolemia (FH) and elevated lipoprotein(a) [Lp(a)] and LDL-C goal attainment, as well as the prevalence and severity of coronary artery disease (CAD). Moreover, we characterized patients failing to meet recommended LDL-C goals. METHODS We performed a cross-sectional analysis in a cohort of patients undergoing cardiac catheterization. Clinical FH was determined by the Dutch Clinical Lipid Network Score, and Lp(a) ≥ 50 mg/dL (≈ 107 nmol/L) was considered elevated. RESULTS A total of 838 participants were included. Overall, the prevalence of CAD was 72%, and 62% received lipid-lowering treatment. The prevalence of clinical FH (probable and definite FH) was 4%, and 19% had elevated Lp(a) levels. With 35%, LDL-C goal attainment was generally poor. Among the participants with clinical FH, none reached their LDL-C target. Among patients with elevated Lp(a), LDL-C target achievement was only 28%. The prevalence and severity of CAD were higher in participants with clinical FH (86% prevalence) and elevated Lp(a) (80% prevalence). CONCLUSION Most participants failed to meet their individual LDL-C goals according to the ESC 2016 and 2019 guidelines. In particular, high-risk patients with clinical FH or elevated Lp(a) rarely met their target for LDL-C. The identification of these patients and more intense treatment approaches are crucial for the improvement of CAD primary and secondary prevention.
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Affiliation(s)
- Andrea Schwarz
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Biology of Aging Working Group, Augustenburger Platz 1, 13353, Berlin, Germany. .,Department of Pediatrics, Charité -Universitätsmedizin Berlin, Division of Cardiology, Berlin, Germany.
| | - Ilja Demuth
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Biology of Aging Working Group, Augustenburger Platz 1, 13353, Berlin, Germany.,BCRT - Berlin Institute of Health Center for Regenerative Therapies, Berlin, Germany
| | - Ulf Landmesser
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany.,Department of Cardiology, Charité- Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany
| | - Arash Haghikia
- Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany.,Department of Cardiology, Charité- Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.,German Centre for Cardiovascular Research (DZHK), Partner Site Berlin, Berlin, Germany
| | - Maximilian König
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Biology of Aging Working Group, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Elisabeth Steinhagen-Thiessen
- Department of Endocrinology and Metabolic Diseases (Including Division of Lipid Metabolism), Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Biology of Aging Working Group, Augustenburger Platz 1, 13353, Berlin, Germany.,Institute of Clinical Chemistry and Laboratory Medicine, University of Rostock, Rostock, Germany
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20
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Rasooly D, Yang Q, Moonesinghe R, Khoury MJ, Patel CJ. The Joint Public Health Impact of Family History of Diabetes and Cardiovascular Disease among Adults in the United States: A Population-Based Study. Public Health Genomics 2022; 25:1-12. [PMID: 36202082 PMCID: PMC10076442 DOI: 10.1159/000526242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Accepted: 07/27/2022] [Indexed: 11/19/2022] Open
Abstract
INTRODUCTION Family history is an established risk factor for both cardiovascular disease (CVD) and diabetes; however, no study has presented population-based prevalence estimates of family histories of CVD and diabetes and examined their joint impact on prevalence of diabetes, CVD, cardiometabolic risk factors, and mortality risk. METHODS We analyzed data from a representative sample of the US adult population including 29,440 participants from the National Health and Nutrition Examination Survey (2007-2018) and assessed self-reported first-degree family history of diabetes and CVD (premature heart disease before age of 50 years) as well as meeting criteria and/or having risk factors for CVD and diabetes. RESULTS Participants with joint family history exhibit 6.5 greater odds for having both diseases and are diagnosed with diabetes 6.6 years earlier than participants without family history. Healthy participants without prevalent CVD or diabetes but with joint family history exhibit a greater prevalence of diabetes risk factors compared to no family history counterparts. Joint family history is associated with an increase in all-cause mortality, but with no interactive effect. CONCLUSION Over 44% of the US adult population has a family history of CVD and/or diabetes that is comparable in risk to common cardiometabolic risk factors. This wide presence of high-risk family history and its simplicity of ascertainment suggests that clinical and public health efforts should collect and act on joint family history of CVD and diabetes to improve population efforts in the prevention and early detection of these common chronic diseases.
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Affiliation(s)
- Danielle Rasooly
- Office of Genomics and Precision Public Health, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA
| | - Quanhe Yang
- Division for Heart Disease and Stroke Prevention, NCCDPHP, Centers for Disease Control and Prevention Atlanta, GA 30329, USA
| | - Ramal Moonesinghe
- Office of Genomics and Precision Public Health, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA
| | - Muin J. Khoury
- Office of Genomics and Precision Public Health, Centers for Disease Control and Prevention, Atlanta, GA 30329, USA
| | - Chirag J Patel
- Department of Biomedical Informatics, Harvard Medical School, 10 Shattuck St., Boston, MA 02115, USA
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21
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Zhong Z, Sun S, Weng J, Zhang H, Lin H, Sun J, Pan M, Guo H, Chi J. Machine learning algorithms identifying the risk of new-onset ACS in patients with type 2 diabetes mellitus: A retrospective cohort study. Front Public Health 2022; 10:947204. [PMID: 36148336 PMCID: PMC9486471 DOI: 10.3389/fpubh.2022.947204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 08/08/2022] [Indexed: 01/21/2023] Open
Abstract
Background In recent years, the prevalence of type 2 diabetes mellitus (T2DM) has increased annually. The major complication of T2DM is cardiovascular disease (CVD). CVD is the main cause of death in T2DM patients, particularly those with comorbid acute coronary syndrome (ACS). Although risk prediction models using multivariate logistic regression are available to assess the probability of new-onset ACS development in T2DM patients, none have been established using machine learning (ML). Methods Between January 2019 and January 2020, we enrolled 521 T2DM patients with new-onset ACS or no ACS from our institution's medical information recording system and divided them into a training dataset and a testing dataset. Seven ML algorithms were used to establish models to assess the probability of ACS coupled with 5-cross validation. Results We established a nomogram to assess the probability of newly diagnosed ACS in T2DM patients with an area under the curve (AUC) of 0.80 in the testing dataset and identified some key features: family history of CVD, history of smoking and drinking, aspartate aminotransferase level, age, neutrophil count, and Killip grade, which accelerated the development of ACS in patients with T2DM. The AUC values of the seven ML models were 0.70-0.96, and random forest model had the best performance (accuracy, 0.89; AUC, 0.96; recall, 0.83; precision, 0.91; F1 score, 0.87). Conclusion ML algorithms, especially random forest model (AUC, 0.961), had higher performance than conventional logistic regression (AUC, 0.801) for assessing new-onset ACS probability in T2DM patients with excellent clinical and diagnostic value.
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Affiliation(s)
- Zuoquan Zhong
- Department of Cardiology, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing, China
| | - Shiming Sun
- The First Clinical Medical College, Wenzhou Medical University, Wenzhou, China
| | - Jingfan Weng
- Department of Cardiology, Zhejiang University School of Medicine, Hangzhou, China
| | - Hanlin Zhang
- The First Clinical Medical College, Wenzhou Medical University, Wenzhou, China
| | - Hui Lin
- Department of Cardiology, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing, China
| | - Jing Sun
- The First Clinical Medical College, Wenzhou Medical University, Wenzhou, China
| | - Miaohong Pan
- College of Medicine, Shaoxing University, Shaoxing, China
| | - Hangyuan Guo
- College of Medicine, Shaoxing University, Shaoxing, China,*Correspondence: Hangyuan Guo
| | - Jufang Chi
- Department of Cardiology, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Shaoxing, China,Jufang Chi
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22
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Goldsborough E, Osuji N, Blaha MJ. Assessment of Cardiovascular Disease Risk: A 2022 Update. Endocrinol Metab Clin North Am 2022; 51:483-509. [PMID: 35963625 DOI: 10.1016/j.ecl.2022.02.005] [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] [Indexed: 11/03/2022]
Abstract
Assessment of atherosclerotic cardiovascular disease (ASCVD) risk is the cornerstone of primary ASCVD prevention, enabling targeted use of the most aggressive therapies in those most likely to benefit, while guiding a conservative approach in those who are low risk. ASCVD risk assessment begins with the use of a traditional 10-year risk calculator, with further refinement through the consideration of risk-enhancing factors (particularly lipoprotein(a)) and subclinical atherosclerosis testing (particularly coronary artery calcium (CAC) testing). In this review, we summarize the current field of ASCVD risk assessment in primary prevention and highlight new guidelines from the Endocrine Society.
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Affiliation(s)
- Earl Goldsborough
- Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD 21287, USA
| | - Ngozi Osuji
- Johns Hopkins University School of Medicine, 600 North Wolfe Street, Baltimore, MD 21287, USA; Division of Cardiology, Department of Medicine, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael J Blaha
- Division of Cardiology, Department of Medicine, Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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23
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Abdalrada AS, Abawajy J, Al-Quraishi T, Islam SMS. Machine learning models for prediction of co-occurrence of diabetes and cardiovascular diseases: a retrospective cohort study. J Diabetes Metab Disord 2022; 21:251-261. [PMID: 35673486 PMCID: PMC9167176 DOI: 10.1007/s40200-021-00968-z] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Accepted: 12/29/2021] [Indexed: 12/15/2022]
Abstract
Background Diabetic mellitus (DM) and cardiovascular diseases (CVD) cause significant healthcare burden globally and often co-exists. Current approaches often fail to identify many people with co-occurrence of DM and CVD, leading to delay in healthcare seeking, increased complications and morbidity. In this paper, we aimed to develop and evaluate a two-stage machine learning (ML) model to predict the co-occurrence of DM and CVD. Methods We used the diabetes complications screening research initiative (DiScRi) dataset containing >200 variables from >2000 participants. In the first stage, we used two ML models (logistic regression and Evimp functions) implemented in multivariate adaptive regression splines model to infer the significant common risk factors for DM and CVD and applied the correlation matrix to reduce redundancy. In the second stage, we used classification and regression algorithm to develop our model. We evaluated the prediction models using prediction accuracy, sensitivity and specificity as performance metrics. Results Common risk factors for DM and CVD co-occurrence was family history of the diseases, gender, deep breathing heart rate change, lying to standing blood pressure change, HbA1c, HDL and TC\HDL ratio. The predictive model showed that the participants with HbA1c >6.45 and TC\HDL ratio > 5.5 were at risk of developing both diseases (97.9% probability). In contrast, participants with HbA1c >6.45 and TC\HDL ratio ≤ 5.5 were more likely to have only DM (84.5% probability) and those with HbA1c ≤5.45 and HDL >1.45 were likely to be healthy (82.4%. probability). Further, participants with HbA1c ≤5.45 and HDL <1.45 were at risk of only CVD (100% probability). The predictive accuracy of the ML model to detect co-occurrence of DM and CVD is 94.09%, sensitivity 93.5%, and specificity 95.8%. Conclusions Our ML model can significantly predict with high accuracy the co-occurrence of DM and CVD in people attending a screening program. This might help in early detection of patients with DM and CVD who could benefit from preventive treatment and reduce future healthcare burden.
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Affiliation(s)
- Ahmad Shaker Abdalrada
- Faculty of Computer Science and Information Technology, Wasit University, Al Kut, Iraq
- School of Information Technology, Deakin University, Melbourne, Victoria Australia
| | - Jemal Abawajy
- School of Information Technology, Deakin University, Melbourne, Victoria Australia
| | - Tahsien Al-Quraishi
- Faculty of Computer Science and Information Technology, Wasit University, Al Kut, Iraq
- School of Information Technology, Deakin University, Melbourne, Victoria Australia
| | - Sheikh Mohammed Shariful Islam
- Institute for Physical Activity and Nutrition, Deakin University, 221 Burwood Highway, Burwood, Melbourne, VIC 3125 Australia
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24
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Khanna NN, Maindarkar M, Saxena A, Ahluwalia P, Paul S, Srivastava SK, Cuadrado-Godia E, Sharma A, Omerzu T, Saba L, Mavrogeni S, Turk M, Laird JR, Kitas GD, Fatemi M, Barqawi AB, Miner M, Singh IM, Johri A, Kalra MM, Agarwal V, Paraskevas KI, Teji JS, Fouda MM, Pareek G, Suri JS. Cardiovascular/Stroke Risk Assessment in Patients with Erectile Dysfunction-A Role of Carotid Wall Arterial Imaging and Plaque Tissue Characterization Using Artificial Intelligence Paradigm: A Narrative Review. Diagnostics (Basel) 2022; 12:1249. [PMID: 35626404 PMCID: PMC9141739 DOI: 10.3390/diagnostics12051249] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/14/2022] [Accepted: 05/15/2022] [Indexed: 12/12/2022] Open
Abstract
PURPOSE The role of erectile dysfunction (ED) has recently shown an association with the risk of stroke and coronary heart disease (CHD) via the atherosclerotic pathway. Cardiovascular disease (CVD)/stroke risk has been widely understood with the help of carotid artery disease (CTAD), a surrogate biomarker for CHD. The proposed study emphasizes artificial intelligence-based frameworks such as machine learning (ML) and deep learning (DL) that can accurately predict the severity of CVD/stroke risk using carotid wall arterial imaging in ED patients. METHODS Using the PRISMA model, 231 of the best studies were selected. The proposed study mainly consists of two components: (i) the pathophysiology of ED and its link with coronary artery disease (COAD) and CHD in the ED framework and (ii) the ultrasonic-image morphological changes in the carotid arterial walls by quantifying the wall parameters and the characterization of the wall tissue by adapting the ML/DL-based methods, both for the prediction of the severity of CVD risk. The proposed study analyzes the hypothesis that ML/DL can lead to an accurate and early diagnosis of the CVD/stroke risk in ED patients. Our finding suggests that the routine ED patient practice can be amended for ML/DL-based CVD/stroke risk assessment using carotid wall arterial imaging leading to fast, reliable, and accurate CVD/stroke risk stratification. SUMMARY We conclude that ML and DL methods are very powerful tools for the characterization of CVD/stroke in patients with varying ED conditions. We anticipate a rapid growth of these tools for early and better CVD/stroke risk management in ED patients.
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Affiliation(s)
- Narendra N. Khanna
- Department of Cardiology, Indraprastha APOLLO Hospitals, New Delhi 110076, India;
| | - Mahesh Maindarkar
- Department of Biomedical Engineering, North Eastern Hill University, Shillong 793022, India; (M.M.); (S.P.)
- Stroke Monitoring and Diagnostic Division, AtheroPoint, Roseville, CA 95661, USA;
| | - Ajit Saxena
- Department of Urology, Indraprastha APOLLO Hospitals, New Delhi 110076, India;
| | - Puneet Ahluwalia
- Max Institute of Cancer Care, Max Super Specialty Hospital, New Delhi 110017, India;
| | - Sudip Paul
- Department of Biomedical Engineering, North Eastern Hill University, Shillong 793022, India; (M.M.); (S.P.)
| | - Saurabh K. Srivastava
- College of Computing Sciences and IT, Teerthanker Mahaveer University, Moradabad 244001, India;
| | - Elisa Cuadrado-Godia
- Department of Neurology, Hospital del Mar Medical Research Institute, 08003 Barcelona, Spain;
| | - Aditya Sharma
- Division of Cardiovascular Medicine, University of Virginia, Charlottesville, VA 22908, USA;
| | - Tomaz Omerzu
- Department of Neurology, University Medical Centre Maribor, 2000 Maribor, Slovenia; (T.O.); (M.T.)
| | - Luca Saba
- Department of Radiology, University of Cagliari, 09124 Cagliari, Italy;
| | - Sophie Mavrogeni
- Cardiology Clinic, Onassis Cardiac Surgery Centre, 176 74 Athens, Greece;
| | - Monika Turk
- Department of Neurology, University Medical Centre Maribor, 2000 Maribor, Slovenia; (T.O.); (M.T.)
| | - John R. Laird
- Heart and Vascular Institute, Adventist Health St. Helena, St. Helena, CA 94574, USA;
| | - George D. Kitas
- Academic Affairs, Dudley Group NHS Foundation Trust, Dudley DY1 2HQ, UK;
- Arthritis Research UK Epidemiology Unit, Manchester University, Manchester M13 9PL, UK
| | - Mostafa Fatemi
- Department of Physiology & Biomedical Engineering, Mayo Clinic College of Medicine and Science, Rochester, NY 55905, USA;
| | - Al Baha Barqawi
- Division of Urology, Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA;
| | - Martin Miner
- Men’s Health Centre, Miriam Hospital Providence, Providence, RI 02906, USA;
| | - Inder M. Singh
- Stroke Monitoring and Diagnostic Division, AtheroPoint, Roseville, CA 95661, USA;
| | - Amer Johri
- Department of Medicine, Division of Cardiology, Queen’s University, Kingston, ON K7L 3N6, Canada;
| | | | - Vikas Agarwal
- Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226014, India;
| | - Kosmas I. Paraskevas
- Department of Vascular Surgery, Central Clinic of Athens, 106 80 Athens, Greece;
| | - Jagjit S. Teji
- Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL 60611, USA;
| | - Mostafa M. Fouda
- Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID 83209, USA;
| | - Gyan Pareek
- Minimally Invasive Urology Institute, Brown University, Providence, RI 02912, USA;
| | - Jasjit S. Suri
- Stroke Monitoring and Diagnostic Division, AtheroPoint, Roseville, CA 95661, USA;
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26
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Tsao CW, Aday AW, Almarzooq ZI, Alonso A, Beaton AZ, Bittencourt MS, Boehme AK, Buxton AE, Carson AP, Commodore-Mensah Y, Elkind MSV, Evenson KR, Eze-Nliam C, Ferguson JF, Generoso G, Ho JE, Kalani R, Khan SS, Kissela BM, Knutson KL, Levine DA, Lewis TT, Liu J, Loop MS, Ma J, Mussolino ME, Navaneethan SD, Perak AM, Poudel R, Rezk-Hanna M, Roth GA, Schroeder EB, Shah SH, Thacker EL, VanWagner LB, Virani SS, Voecks JH, Wang NY, Yaffe K, Martin SS. Heart Disease and Stroke Statistics-2022 Update: A Report From the American Heart Association. Circulation 2022; 145:e153-e639. [PMID: 35078371 DOI: 10.1161/cir.0000000000001052] [Citation(s) in RCA: 2620] [Impact Index Per Article: 1310.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2022 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population and an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, and the global burden of cardiovascular disease and healthy life expectancy. RESULTS Each of the chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policymakers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Metabolic syndrome in rural Peruvian adults living at high altitudes using different cookstoves. PLoS One 2022; 17:e0263415. [PMID: 35134083 PMCID: PMC8824363 DOI: 10.1371/journal.pone.0263415] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 01/13/2022] [Indexed: 12/01/2022] Open
Abstract
This study determined the prevalence of metabolic syndrome (MetS) in open fire stoves and improved cookstoves users (ICS) in the rural Peruvian Andes. Participants answered a socioeconomic questionnaire, one 24-hour food recall and underwent a physical examination. We analysed data from 385 participants, 190 (112 women and 78 men) were ICS users and 195 (123 women and 72 men) were open fire stove users. The prevalence of MetS was 21.3, 26.4% in women and 13.3% in men. We found no statistically significant association between the type of cookstove and MetS. Body mass index and altitude were important determinants of MetS. Research on cardiometabolic diseases and open fire stove use contributes to understanding the effect of household air pollution on health in high altitude populations.
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Logit model in prospective coronary heart disease (CHD) risk factors prediction in Saudi population. Saudi J Biol Sci 2021; 28:7027-7036. [PMID: 34867004 PMCID: PMC8626330 DOI: 10.1016/j.sjbs.2021.07.089] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 07/27/2021] [Accepted: 07/28/2021] [Indexed: 01/07/2023] Open
Abstract
Analysis through logistic regression explored to investigate the relationship between binary or multivariable ordinal response probability and in one or more explanatory variables. The main objectives of this study to investigate advanced prediction risk factor of Coronary Heart Disease (CHD) using a logit model. Attempts made to reduce risk factors, increase public or professional awareness. Logit model used to evaluate the probability of a person develop CHD, considering any factors such as age, gender, high low-density lipoprotein (LDL) cholesterol, low high-density lipoprotein (HDL) cholesterol, high blood pressure, family history of CHD younger than 45, diabetes, smoking, being post-menopausal for women and being older than 45 for men. Logit concept of brief statistics described with slight modification to estimate the parameters testing for the significance of the coefficients, confidence interval fits the simple, multiple logit models. Besides, interpretation of the fitted logit regression model introduced. Variables showing best results within the scientific context, good explanation data assessed to fit an estimated logit model containing chosen variables, this present experiment used the statistical inference procedure; chi-square distribution, likelihood ratio, Score, or Wald test and goodness-of-fit. Health promotion started with increased public or professional awareness improved for early detection of CHD, to reduce the risk of mortality, aimed to be Saudi vision by 2030.
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Key Words
- BP, Blood Pressure
- CHD
- CHD, Coronary Heart Disease
- CVDs, Cardiovascular Diseases
- DBP, Diastolic Blood Pressure
- HDFQ, Heart Disease Facts Questionnaire
- HDL, High-density Lipoprotein
- HbA1c, Hemoglobin A1c
- LDL, Low-density Lipoprotein
- LR, Likelihood-ratio
- Logistic regression model
- Logit model
- Modified maximum likelihood method
- Risk factors
- SBP, Systolic Blood Pressure
- SD, Standard Deviations
- SE, Standard Error of the mean
- SPSS, Statistical Package for the Social Sciences
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Gharios C, Leblebjian M, Mora S, Blumenthal RS, Jaffa MA, Refaat MM. The association of cardiovascular mortality with a first-degree family member history of different cardiovascular diseases. J Geriatr Cardiol 2021; 18:816-824. [PMID: 34754293 PMCID: PMC8558742 DOI: 10.11909/j.issn.1671-5411.2021.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023] Open
Abstract
OBJECTIVE To investigate which history of cardiovascular disease [coronary heart disease (CHD), stroke, or peripheral arterial disease] in a first-degree family member predicts cardiovascular mortality. METHODS We studied a prospective cohort (the Lipid Research Clinics Prevalence Study) from ten primary care centers across North America. The primary outcome was cardiovascular mortality, assessed using Cox survival models. RESULTS There were 8,646 participants (mean age: 47.4 ± 12.1 years, 46% women, 52% of participants with hyperlipidemia) who were followed up for a mean duration of 19.4 ± 4.9 years. There were 1,851 deaths (21%), including 852 cardiovascular deaths. A paternal, maternal or sibling history of premature CHD (before 60 years) was present in 26% of participants, of stroke in 27% of participants, and of peripheral arterial disease in 24% of participants. After adjusting for risk factors (age, sex, systolic blood pressure, diastolic blood pressure, body mass index, smoking, fasting glucose, low-density lipoprotein cholesterol and triglycerides), only a paternal history of premature or any CHD, a maternal history of diabetes mellitus or premature or any CHD, and a sibling history of premature CHD, hypertension, or hyperlipidemia were individually predictive of cardiovascular mortality. After adjusting for risk factors and the mentioned familial factors, only paternal and maternal histories of CHD, especially before 60 years, remained predictive of cardiovascular mortality, with a somewhat higher association for a maternal history [adjusted hazard ratio (aHR) = 1.99, 95% CI: 1.36-2.92,P < 0.001 for maternal history of premature CHD; aHR = 1.52, 95% CI: 1.10-2.10, P = 0.011 for paternal history of premature CHD]. Family history of stroke or peripheral arterial disease did not predict cardiovascular mortality. Parental history of premature CHD predicted cardiovascular mortality independently of baseline age (< 60 years and ≥ 60 years), hypertension, or hyperlipidemia and carried more important prognostic value in men rather than women. CONCLUSIONS In this study, a parental history of CHD, especially before 60 years, best predicted cardiovascular mortality. This finding could help more accurately identify high-risk patients who would benefit from preventive strategies.
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Affiliation(s)
- Charbel Gharios
- Department of Internal Medicine, Division of Cardiology, American University of Beirut Medical Center, Beirut, Lebanon
- Cardiovascular Imaging Research Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Mireille Leblebjian
- Epidemiology and Population Health Department, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | - Samia Mora
- Center for Lipid Metabolomics, Divisions of Preventive and Cardiovascular Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Roger S. Blumenthal
- The Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Miran A. Jaffa
- Epidemiology and Population Health Department, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon
| | - Marwan M. Refaat
- Department of Internal Medicine, Division of Cardiology, American University of Beirut Medical Center, Beirut, Lebanon
- Department of Biochemistry and Molecular Genetics, American University of Beirut Faculty of Medicine, Beirut, Lebanon
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Khalid K, Padda J, Ismail D, Abdullah M, Gupta D, Pradeep R, Hameed W, Cooper AC, Jean-Charles G. Correlation of Coronary Artery Disease and Left Ventricular Hypertrophy. Cureus 2021; 13:e17550. [PMID: 34646607 PMCID: PMC8479854 DOI: 10.7759/cureus.17550] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/29/2021] [Indexed: 12/23/2022] Open
Abstract
Ischemic heart disease (IHD) is the leading cause of death worldwide, and it is defined as an imbalance between myocardial oxygen supply and demand. Coronary artery disease (CAD) and left ventricular hypertrophy (LVH) are two common causes of IHD that independently result in myocardial ischemia. CAD decreases myocardial blood and oxygen supply whereas LVH increases myocardial oxygen demand. The coexistence of both CAD and LVH results in a significant increase in oxygen demand while simultaneously lowering oxygen supply. Since hypertension is a shared predisposing condition for both CAD and LVH, the left ventricular (LV) mass on noninvasive echocardiography can reflect on the severity of coronary artery stenosis. In clinical practice, it can help physicians decide whether to perform invasive cardiac catheterization to visualize the extent of the coronary block. Although, both CAD and LVH are directly proportional to mortality risk, the addition of eccentric LVH can further increase morbidity and mortality due to myocardial infarction. Therefore, the latest management of both the acute and chronic phases of CAD places an increased emphasis on controlling the predisposing factors to prevent or reverse LVH. For example, angiotensin-converting enzyme inhibitors and diuretics reduce LV mass by lowering the cardiac preload and afterload. This article aims to investigate the deleterious effects of the collaboration between CAD and LVH, establish a causal relationship, and explore the new prevention and management strategies.
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Affiliation(s)
- Khizer Khalid
- Internal Medicine, Jean-Charles (JC) Medical Center, Orlando, USA
| | - Jaskamal Padda
- Internal Medicine, Jean-Charles (JC) Medical Center, Orlando, USA
| | - Dina Ismail
- Internal Medicine, Jean-Charles (JC) Medical Center, Orlando, USA
| | | | - Dhriti Gupta
- Internal Medicine, Jean-Charles (JC) Medical Center, Orlando, USA
| | - Roshini Pradeep
- Internal Medicine, Jean-Charles (JC) Medical Center, Orlando, USA
| | - Warda Hameed
- Internal Medicine, Jean-Charles (JC) Medical Center, Orlando, USA
| | | | - Gutteridge Jean-Charles
- Internal Medicine, Jean-Charles (JC) Medical Center, Orlando, USA.,Internal Medicine, AdventHealth & Orlando Health Hospital, Orlando, USA
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Visseren FLJ, Mach F, Smulders YM, Carballo D, Koskinas KC, Bäck M, Benetos A, Biffi A, Boavida JM, Capodanno D, Cosyns B, Crawford C, Davos CH, Desormais I, Di Angelantonio E, Franco OH, Halvorsen S, Hobbs FDR, Hollander M, Jankowska EA, Michal M, Sacco S, Sattar N, Tokgozoglu L, Tonstad S, Tsioufis KP, van Dis I, van Gelder IC, Wanner C, Williams B. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. Eur J Prev Cardiol 2021; 29:5-115. [PMID: 34558602 DOI: 10.1093/eurjpc/zwab154] [Citation(s) in RCA: 211] [Impact Index Per Article: 70.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Affiliation(s)
| | | | | | | | | | | | | | - Alessandro Biffi
- European Federation of Sports Medicine Association (EFSMA).,International Federation of Sport Medicine (FIMS)
| | | | | | | | | | | | | | | | | | | | - F D Richard Hobbs
- World Organization of National Colleges, Academies and Academic Associations of General Practitioners/Family Physicians (WONCA) - Europe
| | | | | | | | | | | | | | | | | | | | | | - Christoph Wanner
- European Renal Association - European Dialysis and Transplant Association (ERA-EDTA)
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Jeemon P, Harikrishnan S, Ganapathi S, Sivasankaran S, Binukumar B, Padmanabhan S, Tandon N, Prabhakaran D. Efficacy of a family-based cardiovascular risk reduction intervention in individuals with a family history of premature coronary heart disease in India (PROLIFIC): an open-label, single-centre, cluster randomised controlled trial. LANCET GLOBAL HEALTH 2021; 9:e1442-e1450. [PMID: 34534488 DOI: 10.1016/s2214-109x(21)00319-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 06/24/2021] [Accepted: 07/12/2021] [Indexed: 01/02/2023]
Abstract
BACKGROUND Coronary heart disease, a leading cause of death globally, is amenable to lifestyle interventions. The family environment can affect the ability or willingness of individuals to make lifestyle changes. We aimed to investigate the efficacy of a targeted family-based intervention for reduction of total cardiovascular risk in individuals with a family history of premature coronary heart disease. METHODS We did an open-label, cluster randomised controlled trial (PROLIFIC) in the families (first-degree relatives and spouses, older than age 18 years) of individuals with coronary heart disease who had been diagnosed before age 55 years. Patients with coronary heart disease diagnosed within the past year were selected from a tertiary care speciality hospital that provides care for patients from Kerala, India. Family members of selected patients who were bedridden or terminally ill, and individuals with a history of established cardiovascular heart disease and stroke were excluded, as were families with fewer than two eligible family members. Simple randomisation with computer-generated random numbers was used to randomly assign families to intervention and usual care groups (1:1). Participants in the intervention group received a comprehensive package of interventions facilitated by non-physician health workers, consisting of: screening for cardiovascular risk factors; structured lifestyle interventions; linkage to a primary health-care facility for individuals with established chronic disease risk factors or conditions; and active follow-up for adherence. The usual care group received one-time counselling and annual screening for risk factors. We obtained data on lifestyle, clinical, and biochemical characteristics at baseline and annually during the 2-year follow-up. The primary outcome was achievement or maintenance of any three of the following: blood pressure lower than 140/90 mm Hg, fasting plasma glucose lower than 110 mg/dL, low-density lipoprotein cholesterol lower than 100 mg/dL, and abstinence from tobacco. The primary outcome was analysed in all participants available for follow-up at the relevant timepoint. This trial is registered with Clinicaltrials.gov, NCT02771873. FINDINGS From Jan 1, 2015, to April 30, 2017, 980 patients with coronary heart disease were assessed for eligibility and 230 were excluded primarily due to lack of evidence of coronary artery disease (n=199), or a diagnosis of coronary heart disease more than 1 year previously (n=29). Of the 750 remaining families, 368 (with 825 participants) were assigned to the intervention group and 382 (with 846 participants) were assigned to the usual care group. At the 2-year follow-up, data from 803 (97%) of 825 participants in the intervention group and 819 (97%) of 846 participants in the usual care group were available. Of the 1671 participants, 1111 (66·5%) were women, and 560 (33·5%) were men. The mean age of the study population was 40·8 years (SD 14·2). At the 2-year follow-up, the primary outcome was achieved by 514 (64%) of 803 participants in the intervention group and 379 (46%) of 819 in the usual care group. After adjustment for clustering and baseline risk factors, the odds of achieving the primary outcome at the 2-year timepoint was two times higher in the intervention group than in the usual care group (odds ratio 2·2, 95% CI 1·7-2·7; p<0·0001). INTERPRETATION The reduction of total cardiovascular risk observed after the intervention could have a substantial public health impact by preventing future cardiovascular events. FUNDING The Wellcome Trust and Department of Biotechnology, Government of India, and India Alliance.
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Affiliation(s)
- Panniyammakal Jeemon
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India.
| | - Sivadasanpillai Harikrishnan
- Department of Cardiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | - Sanjay Ganapathi
- Department of Cardiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | - Sivasubramonian Sivasankaran
- Department of Cardiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, India
| | - Bhaskarapillai Binukumar
- Department of Biostatistics, National Institute of Mental Health and Neurosciences, Bangalore, India
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
| | - Nikhil Tandon
- Department of Endocrinology and Metabolism, All India Institute of Medical Sciences, New Delhi, India
| | - Dorairaj Prabhakaran
- Public Health Foundation of India, New Delhi, India; Centre for Chronic Disease Control, New Delhi, India; Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK
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Kałka D, Gebala J, Biernikiewicz M, Mrozek-Szetela A, Rożek-Piechura K, Sobieszczańska M, Szuster E, Majchrowska M, Miętka A, Rusiecka A. Erectile Dysfunction in Men Burdened with the Familial Occurrence of Coronary Artery Disease. J Clin Med 2021; 10:jcm10184046. [PMID: 34575155 PMCID: PMC8470252 DOI: 10.3390/jcm10184046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2021] [Revised: 08/30/2021] [Accepted: 09/02/2021] [Indexed: 12/12/2022] Open
Abstract
Erectile dysfunction (ED) and coronary artery disease (CAD) share common risk factors, some of which have genetic backgrounds, while others may be stimulated by family lifestyle. We investigated the impact of the familial occurrence of CAD on the presence of ED and the presence of classic risk factors for ED in men with CAD. This cross-sectional observational study involved 751 men with CAD who were subjected to cardiac rehabilitation. Overall, 75.63% of the men had ED. CAD was diagnosed in 39.28% of the studied men’s relatives. ED was less frequent in the men with familial CAD than in those without (71.53% vs. 78.29%). Similar relations were observed for the presence of CAD in parents (70.43% vs. 78.34%) and the father (69.95% vs. 77.46%). The International Index of Erectile Function 5 score was significantly higher in patients with familial CAD (median (interquartile range); 17 (12–22) vs. 16 (10–21); p = 0.0118), in parents (18 (12–22) vs. 16 (10–20); p = 0.021), and in the father (18 (12–22) vs. 16 (10–21); p = 0.0499). Age and education minimized the effect of familial CAD. Familial CAD increased the incidence of hypertension, dyslipidemia, and smoking but not sedentary lifestyle. Despite the higher prevalence of selected risk factors for ED in men with familial CAD, a higher incidence of ED was not observed.
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Affiliation(s)
- Dariusz Kałka
- Cardiosexology Unit, Department of Physiology & Pathophysiology, Wrocław Medical University, 50-368 Wrocław, Poland; (M.M.); (A.M.); (A.R.)
- Centre for Men’s Health, 53-151 Wrocław, Poland
- Correspondence:
| | - Jana Gebala
- Cardiosexology Students’ Scientific Club, Wrocław Medical University, 50-368 Wrocław, Poland; (J.G.); (E.S.)
| | | | - Aneta Mrozek-Szetela
- Doctoral School at Wrocław of Environmental and Life Sciences, 50-375 Wrocław, Poland;
| | - Krystyna Rożek-Piechura
- Faculty of Physiotherapy, Wrocław University of Health and Sport Sciences, 51-612 Wrocław, Poland;
| | | | - Ewa Szuster
- Cardiosexology Students’ Scientific Club, Wrocław Medical University, 50-368 Wrocław, Poland; (J.G.); (E.S.)
| | - Marzena Majchrowska
- Cardiosexology Unit, Department of Physiology & Pathophysiology, Wrocław Medical University, 50-368 Wrocław, Poland; (M.M.); (A.M.); (A.R.)
| | - Anna Miętka
- Cardiosexology Unit, Department of Physiology & Pathophysiology, Wrocław Medical University, 50-368 Wrocław, Poland; (M.M.); (A.M.); (A.R.)
| | - Agnieszka Rusiecka
- Cardiosexology Unit, Department of Physiology & Pathophysiology, Wrocław Medical University, 50-368 Wrocław, Poland; (M.M.); (A.M.); (A.R.)
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Visseren FLJ, Mach F, Smulders YM, Carballo D, Koskinas KC, Bäck M, Benetos A, Biffi A, Boavida JM, Capodanno D, Cosyns B, Crawford C, Davos CH, Desormais I, Di Angelantonio E, Franco OH, Halvorsen S, Hobbs FDR, Hollander M, Jankowska EA, Michal M, Sacco S, Sattar N, Tokgozoglu L, Tonstad S, Tsioufis KP, van Dis I, van Gelder IC, Wanner C, Williams B. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J 2021; 42:3227-3337. [PMID: 34458905 DOI: 10.1093/eurheartj/ehab484] [Citation(s) in RCA: 2447] [Impact Index Per Article: 815.7] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
| | | | | | | | | | | | | | - Alessandro Biffi
- European Federation of Sports Medicine Association (EFSMA)
- International Federation of Sport Medicine (FIMS)
| | | | | | | | | | | | | | | | | | | | - F D Richard Hobbs
- World Organization of National Colleges, Academies and Academic Associations of General Practitioners/Family Physicians (WONCA) - Europe
| | | | | | | | | | | | | | | | | | | | | | - Christoph Wanner
- European Renal Association - European Dialysis and Transplant Association (ERA-EDTA)
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35
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Affiliation(s)
- Melvin K Leow
- Lee Kong Chian School of Medicine, Singapore, Singapore
| | - Christiani J Henry
- Singapore Institute of Food and Biotechnology Innovation, Singapore, Singapore
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Ghosh S, Kapoor D, Vijayvergiya R, Sangwan S, Wangkheimayum S, Mehta S, Dhawan V. Correlation between soluble receptor for advanced glycation end products levels and coronary artery disease in postmenopausal nondiabetic women. World J Cardiol 2021; 13:130-143. [PMID: 34131476 PMCID: PMC8173337 DOI: 10.4330/wjc.v13.i5.130] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 03/04/2021] [Accepted: 04/28/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The established cardiovascular risk factors cannot explain the overall risk of coronary artery disease (CAD), especially in women. Therefore, there is a growing need for the assessment of novel biomarkers to identify women at risk. The receptor for advanced glycation end products (RAGE) and its interaction with the advanced glycation end product (AGE) ligand have been associated with atherogenesis. The soluble fraction of RAGE (sRAGE) antagonizes RAGE signaling and exerts an antiatherogenic effect.
AIM The study aim was to explore the association between plasma levels of sRAGE and CAD in nondiabetic postmenopausal women.
METHODS This case-control study included 110 nondiabetic postmenopausal women who were enrolled in two groups. Group I included 55 angiographically proven CAD subjects with > 50% stenosis in at least one of the major coronary arteries and Group II included 55 healthy control women who did not have CAD or had < 50% stenosis of the coronary arteries. Stenosis was confirmed by invasive angiography. Plasma sRAGE was determined by an enzyme-linked immunosorbent assay.
RESULTS We observed significantly lower plasma sRAGE concentrations in subjects with CAD vs healthy controls (P < 0.05). Univariate and multivariate logistic regression analysis also revealed a significant correlation between plasma sRAGE levels and CAD (P = 0.01). Multivariate odds ratios for CAD revealed that subjects with sRAGE concentrations below 225 pg/mL (lowest quartile) had a 6-fold increase in CAD prevalence independent of other risk factors.
CONCLUSION Our findings indicated that low sRAGE levels were independently associated with CAD in nondiabetic postmenopausal women. Risk assessment of CAD in postmenopausal women can be improved by including sRAGE along with other risk factors.
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Affiliation(s)
- Soumitra Ghosh
- Department ofCardiology, PGIMER, Chandigarh 160012, India
| | - Divya Kapoor
- Department of Experimental Medicine and Biotechnology, PGIMER, Chandigarh 160012, India
| | | | - Sonal Sangwan
- Department of Experimental Medicine and Biotechnology, PGIMER, Chandigarh 160012, India
| | | | - Sakshi Mehta
- Department of Experimental Medicine and Biotechnology, PGIMER, Chandigarh 160012, India
| | - Veena Dhawan
- Department of Experimental Medicine and Biotechnology, PGIMER, Chandigarh 160012, India
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Yannas D, Frizza F, Vignozzi L, Corona G, Maggi M, Rastrelli G. Erectile Dysfunction Is a Hallmark of Cardiovascular Disease: Unavoidable Matter of Fact or Opportunity to Improve Men's Health? J Clin Med 2021; 10:jcm10102221. [PMID: 34065601 PMCID: PMC8161068 DOI: 10.3390/jcm10102221] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 05/14/2021] [Accepted: 05/15/2021] [Indexed: 12/14/2022] Open
Abstract
Erectile dysfunction (ED) is an early manifestation of cardiovascular (CV) disease. For this reason, men with ED should be carefully assessed for CV risk factors in order to prevent future major adverse CV events (MACE). Traditional risk factors are not found in all subjects at high CV risk. In fact, a relevant proportion of MACE occurs in men who are apparently risk factor free. In men with ED, it is important to take into account not only traditional risk factors but also unconventional ones. Several parameters that derive from good clinical assessment of subjects with ED have proven to be valuable predictors of MACE. These include family history of cardiometabolic events, alcohol abuse, fatherhood, decreased partner’s sexual interest, severe impairment in erection during intercourse or during masturbation, impaired fasting glucose, increased triglycerides, obesity even without metabolic complications, decreased penile blood flows or impaired response to an intra-cavernosal injection test. Recognizing these risk factors may help in identifying, among subjects with ED, those who merit stricter lifestyle or pharmacological interventions to minimize their CV risk. Effective correction of risk factors in ED men considered as high risk, besides reducing CV risk, is also able to improve erectile function.
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Affiliation(s)
- Dimitri Yannas
- Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, 50121-50145 Florence, Italy; (D.Y.); (L.V.); (M.M.)
- Andrology, Women’s Endocrinology and Gender Incongruence Unit, Careggi Teaching Hospital, 50121-50145 Florence, Italy
| | - Francesca Frizza
- Endocrinology Unit, Medical Department, Azienda Usl Maggiore-Bellaria Hospital, 40121-40141 Bologna, Italy; (F.F.); (G.C.)
| | - Linda Vignozzi
- Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, 50121-50145 Florence, Italy; (D.Y.); (L.V.); (M.M.)
- Andrology, Women’s Endocrinology and Gender Incongruence Unit, Careggi Teaching Hospital, 50121-50145 Florence, Italy
| | - Giovanni Corona
- Endocrinology Unit, Medical Department, Azienda Usl Maggiore-Bellaria Hospital, 40121-40141 Bologna, Italy; (F.F.); (G.C.)
| | - Mario Maggi
- Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, 50121-50145 Florence, Italy; (D.Y.); (L.V.); (M.M.)
- Endocrinology Unit, Careggi Teaching Hospital, 50121-50145 Florence, Italy
| | - Giulia Rastrelli
- Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, 50121-50145 Florence, Italy; (D.Y.); (L.V.); (M.M.)
- Andrology, Women’s Endocrinology and Gender Incongruence Unit, Careggi Teaching Hospital, 50121-50145 Florence, Italy
- Correspondence:
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Virani SS, Alonso A, Aparicio HJ, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Cheng S, Delling FN, Elkind MSV, Evenson KR, Ferguson JF, Gupta DK, Khan SS, Kissela BM, Knutson KL, Lee CD, Lewis TT, Liu J, Loop MS, Lutsey PL, Ma J, Mackey J, Martin SS, Matchar DB, Mussolino ME, Navaneethan SD, Perak AM, Roth GA, Samad Z, Satou GM, Schroeder EB, Shah SH, Shay CM, Stokes A, VanWagner LB, Wang NY, Tsao CW. Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association. Circulation 2021; 143:e254-e743. [PMID: 33501848 DOI: 10.1161/cir.0000000000000950] [Citation(s) in RCA: 3176] [Impact Index Per Article: 1058.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2021 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, an enhanced focus on social determinants of health, adverse pregnancy outcomes, vascular contributions to brain health, the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors related to cardiovascular disease. RESULTS Each of the 27 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, health care administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Satoh M, Ohkubo T, Asayama K, Murakami Y, Sugiyama D, Waki T, Tanaka-Mizuno S, Yamada M, Saitoh S, Sakata K, Irie F, Sairenchi T, Ishikawa S, Kiyama M, Okayama A, Miura K, Imai Y, Ueshima H, Okamura T. A Combination of Blood Pressure and Total Cholesterol Increases the Lifetime Risk of Coronary Heart Disease Mortality: EPOCH-JAPAN. J Atheroscler Thromb 2021; 28:6-24. [PMID: 32269207 PMCID: PMC7875142 DOI: 10.5551/jat.52613] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2019] [Accepted: 01/08/2020] [Indexed: 12/19/2022] Open
Abstract
AIM Lifetime risk (LTR) indicates the absolute risk of disease during the remainder of an individual's lifetime. We aimed to assess the LTRs for coronary heart disease (CHD) mortality associated with blood pressure (BP) and total cholesterol levels in an Asian population using a meta-analysis of individual participant data because no previous studies have assessed this risk. METHODS We analyzed data from 105,432 Japanese participants in 13 cohorts. Apart from grade 1 and 2-3 hypertension groups, we defined "normal BP" as systolic/diastolic BP <130/<80 mmHg and "high BP" as 130-139/80-89 mmHg. The sex-specific LTR was estimated while considering the competing risk of death. RESULTS During the mean follow-up period of 15 years (1,553,735 person-years), 889 CHD deaths were recorded. The 10-year risk of CHD mortality at index age 35 years was ≤ 0.11%, but the corresponding LTR was ≥ 1.84%. The LTR of CHD at index age 35 years steeply increased with an increase in BP of participants with high total cholesterol levels [≥ 5.7 mmol/L (220 mg/dL)]. This risk was 7.73%/5.77% (95% confidence interval: 3.53%-10.28%/3.83%-7.25%) in men/women with grade 2-3 hypertension and high total cholesterol levels. In normal and high BP groups, the absolute differences in LTRs between the low and high total cholesterol groups were ≤ 0.25% in men and ≤ 0.40% in women. CONCLUSIONS High total cholesterol levels contributed to an elevated LTR of CHD mortality in hypertensive individuals. These findings could help guide high-risk young individuals toward initiating lifestyle changes or treatments.
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Affiliation(s)
- Michihiro Satoh
- Division of Public Health, Hygiene and Epidemiology, Faculty of Medicine, Tohoku Medical and Pharmaceutical University, Sendai, Japan
| | - Takayoshi Ohkubo
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
- Tohoku Institute for Management of Blood Pressure, Sendai, Japan
| | - Kei Asayama
- Department of Hygiene and Public Health, Teikyo University School of Medicine, Tokyo, Japan
- Tohoku Institute for Management of Blood Pressure, Sendai, Japan
| | - Yoshitaka Murakami
- Department of Medical Statistics, Toho University School of Medicine, Tokyo, Japan
| | - Daisuke Sugiyama
- Faculty of Nursing and Medical Care, School of Medicine, Keio University, Tokyo, Japan
| | - Takashi Waki
- Department of Medical Statistics, Shiga University of Medical Science, Otsu, Japan
| | | | - Michiko Yamada
- Department of Clinical Studies, Radiation Effects Research Foundation, Hiroshima, Japan
| | - Shigeyuki Saitoh
- Division of Medical and Behavioral Subjects, Sapporo Medical University School of Health Sciences, Sapporo, Japan
| | - Kiyomi Sakata
- Department of Hygiene and Preventive Medicine, Iwate Medical University School of Medicine, Iwate, Japan
| | - Fujiko Irie
- Department of Health and Welfare, Ibaraki Prefectural Office, Mito, Japan
| | - Toshimi Sairenchi
- Department of Public Health, Dokkyo Medical University School of Medicine, Shimotsugagun-Mibu, Japan
| | - Shizukiyo Ishikawa
- Medical education center, Jichi medical university, Shimotsuke, Tochigi, Japan
| | - Masahiko Kiyama
- Osaka Center for Cancer and Cardiovascular Disease Prevention, Osaka, Japan
| | - Akira Okayama
- Research Institute of Strategy for Prevention, Tokyo, Japan
| | - Katsuyuki Miura
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Otsu, Japan
| | - Yutaka Imai
- Tohoku Institute for Management of Blood Pressure, Sendai, Japan
| | - Hirotsugu Ueshima
- Department of Public Health, Shiga University of Medical Science, Otsu, Japan
- Center for Epidemiologic Research in Asia, Shiga University of Medical Science, Otsu, Japan
| | - Tomonori Okamura
- Department of Preventive Medicine and Public Health, School of Medicine, Keio University, Tokyo, Japan
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Ajitkumar J, Varun N. Clinical and angiographic profile of acute coronary syndrome patients (<40 years) and short-term prognosis: A cross-sectional study. JOURNAL OF THE PRACTICE OF CARDIOVASCULAR SCIENCES 2021. [DOI: 10.4103/jpcs.jpcs_58_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Eltahlawi MA, Abdel-Aziz AAF, Sherif AS, Shokry KAA, Shehata IE. Long-term follow-up of therapeutic efficacy of everolimus-eluting bioresorbable vascular scaffold in comparison to everolimus-eluting stent in treatment of chronic total occlusion guided by intracoronary imaging. Egypt Heart J 2020; 72:72. [PMID: 33085004 PMCID: PMC7578208 DOI: 10.1186/s43044-020-00104-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2020] [Accepted: 10/05/2020] [Indexed: 11/10/2022] Open
Abstract
Background We hypothesized that 1st generation everolimus-eluting bioresorbable vascular scaffold (BVS) stent associated with less complication and less restenosis rate than everolimus-eluting stent (EES) in chronic total occlusion (CTO) recanalization guided by intracoronary imaging. Therefore, we aimed to assess the safety and performance of BVS stent in CTO revascularization in comparison to EES guided by intracoronary imaging. Our prospective comparative cross-sectional study was conducted on 60 CTO patients divided into two groups according to type of stent revascularization: group I (EES group): 40 (66.7%) patients and group II (BVS group): 20 (33.3%) patients. All patients were subjected to history taking, electrocardiogram (ECG), echocardiography, laboratory investigation, stress thallium study to assess viability before revascularization. Revascularization of viable CTO lesion guided by intracoronary imaging using optical coherence tomography (OCT). Then, long-term follow-up over 1 year clinically and by multi-slice CT coronary angiography (MSCT). Our clinical and angiographic endpoints were to detect any clinical or angiographic complications during the follow-up period. Results At 6 months angiographic follow-up, BVS group had not inferior angiographic parameters but without statistically significant difference (p = 0.566). At 12 months follow-up, there was no difference at end points between the two groups (p = 0.476). No differences were found at angiographic or clinical follow-up between BVS and EES. Conclusion This study shows that 1st generation everolimus-eluting BVS is non-inferior to EES for CTO revascularization. Further studies are needed to clearly state which new smaller footprint BVS, faster reabsorption, magnesium-based less thrombogenicity, and advanced mechanical properties is under development. We cannot dismiss the efficacy and safety of new BVS technology. Trial registration ZU-IRB#2498/3-12-2016 Registered 3 December 2016, email: IRB_123@medicine.zu.edu.eg
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Family History for Cardio-Metabolic Diseases: A Predictor of Major Adverse Cardiovascular Events in Men With Erectile Dysfunction. J Sex Med 2020; 17:2370-2381. [PMID: 32958426 DOI: 10.1016/j.jsxm.2020.08.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Revised: 08/12/2020] [Accepted: 08/17/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Family history (FH) of cardiovascular (CV) disease is a known CV risk factor. However, it is rarely considered for CV risk stratification. Furthermore, FH for metabolic diseases is generally overlooked. AIM To evaluate, in a population of men with erectile dysfunction (ED), whether FH for cardio-metabolic diseases could provide insights into metabolic and sexual features and predict the occurrence of forthcoming major adverse CV events (MACE). METHODS A consecutive series of 4,693 individuals (aged 51.3 ± 13.3 years) attending an Andrology outpatient clinic for ED was studied. A subset of these (n = 1,595) was evaluated retrospectively for MACE occurrence. OUTCOMES Several metabolic and sexual function-related parameters were studied. For the retrospective study, information on an incident MACE was collected over a mean follow-up of 4.2 ± 2.5 years. RESULTS A greater number of cardio-metabolic FH factors were associated with a worse metabolic profile, including higher waist circumference, triglycerides, glucose, glycosylated hemoglobin, and diastolic blood pressure, as well as lower high-density lipoprotein cholesterol. An increased number of FH factors were associated with worse erectile function (odds ratio = 1.14[1.07;1.23], P < .0001), impaired penile dynamic peak systolic velocity, and lower testosterone levels. In the retrospective study, a positive cardiometabolic FH was associated with a significantly higher incidence of MACEs, even after adjusting for age and comorbidities (hazard ratio = 1.51[1.06-2.16], P = .023). Interestingly, when dividing the sample into high- and low-risk categories according to several CV risk factors (age, previous MACEs, high-density lipoprotein cholesterol, and comorbidities), FH was confirmed as a predictor of incident MACE only among the low-risk individuals. CLINICAL IMPLICATIONS Investigating FH for cardio-metabolic diseases is a quick and easy task that could help clinicians in identifying, among individuals with ED, those who deserve careful evaluation of CV and metabolic risk factors. Moreover, considering FH for CV risk stratification could predict MACEs in individuals who, according to conventional CV risk factors, would be erroneously considered at low risk. STRENGTHS & LIMITATIONS The large sample size and the systematic collection of MACEs through an administrative database, with no risk of loss at follow-up, represent strengths. The use of administrative database for MACE collection may lead to some misclassifications. The specific population of the study limits the generalizability of the results. CONCLUSION FH is simple and inexpensive information that should be part of the CV risk assessment in all men with ED because it helps in the identification of those who need lifestyle and risk factor modifications and whose risk would otherwise be overlooked. Rastrelli G, Yannas D, Mucci B, et al. Family History for Cardio-Metabolic Diseases: A Predictor of Major Adverse Cardiovascular Events in Men With Erectile Dysfunction. J Sex Med 2020;17:2370-2381.
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Xu M, Li HW, Chen H, Guo CY. Sex and Age Differences in Patients With Unstable Angina Pectoris: A Single-Center Retrospective Study. Am J Med Sci 2020; 360:268-278. [PMID: 32563567 DOI: 10.1016/j.amjms.2020.05.020] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 05/08/2020] [Accepted: 05/14/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND Sex and age may affect the pathogenesis of coronary heart disease, such as cardiovascular risk factors, treatment and prognosis, but this information is not well known. METHODS This was a single-center retrospective cohort study. Patients with unstable angina pectoris between January 2013 and June 2018 were included and stratified into 4 age groups (<55, 55-64, 65-74 and ≥75 years). The cardiovascular risk factors profile, treatment and in-hospital prognosis differences by sex and age were explored. RESULTS This study included 5,908 patients (2,198 women). The women were older than the men (mean age 67 vs. 62 years). Approximately 2 of 3 patients had ≥3 cardiovascular risk factors. Men were more likely to be smokers, and women had a higher level of total cholesterol, low-density lipoprotein cholesterol and high-density lipoprotein cholesterol. Hypertension, diabetes and chronic kidney disease were more frequent in women ≥ 65 years old than in similarly aged men. Men and women less than 65 years of age had more frequent family history of coronary heart disease, higher body mass index, higher fasting plasma glucose, and higher lipid levels, especially for patients <55 years of age. More women tended to receive medical therapy than men (51.6% vs. 42.8%, P < 0.01). The overall incidence of in-hospital major adverse cardiovascular events was higher in men than in women (4.1% vs. 2.6%, P < 0.05), whereas there was no sex difference in the in-hospital cardiac mortality (0.2% vs. 0.2%, P > 0.05). CONCLUSIONS Women had higher cholesterol levels, and were less likely to undergo revascularization therapy than similarly aged men, and elderly women had a higher prevalence of hypertension, diabetes, and chronic kidney disease than elderly men. In-hospital major adverse cardiovascular events were lower in women than in men; however, there was no sex difference in the in-hospital cardiac mortality.
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Affiliation(s)
- Min Xu
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Hong-Wei Li
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China; Department of Geriatrics, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
| | - Hui Chen
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Chun-Yan Guo
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, Beijing, China
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Chacko M, Sarma PS, Harikrishnan S, Zachariah G, Jeemon P. Family history of cardiovascular disease and risk of premature coronary heart disease: A matched case-control study. Wellcome Open Res 2020; 5:70. [PMID: 32518841 PMCID: PMC7256470 DOI: 10.12688/wellcomeopenres.15829.2] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/09/2020] [Indexed: 11/20/2022] Open
Abstract
Background: Self-reported family history of cardiovascular disease (CVD) is an independent risk factor for future coronary heart disease (CHD) events. However, inclusion of family history of CVD in the traditional risk scores failed to improve risk prediction of CHD. It is proposed that family history of CVD may substantially increase the risk of CHD among younger individuals. Methods: We conducted a matched case-control study with 170 hospital-based premature CHD patients (<55 years in men and <65 years in women) from a tertiary care centre in Thiruvananthapuram, Kerala and age and sex matched community-based controls in 1:1 ratio. Conditional logistic regression analysis was conducted to assess the independent association of family history of cardiovascular disease (CVD) and premature CHD. We estimated McNemar's odds ratios and their 95 percent confidence intervals. Results: The prevalence of any family history of CVD and CHD in the control population was 24% and 21%, respectively. The family history of CVD was independently associated with premature CHD (odds ratio (OR) = 9.0; 95% confidence interval (CI) 4.7-17.3). There was a dose-response relationship between family history and premature CHD as the risk increased linearly with increase in number of affected family members. Conclusions: Family history of CVD is an independent risk factor for premature CHD. The risk of premature CHD increases linearly with increase in number of affected family members. Collecting family history beyond parental history of CVD is important for risk stratification. Targeting young individuals with family history of CVD for intensive risk reduction interventions may help to prevent future events.
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Affiliation(s)
- Manas Chacko
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, 695011, India
| | - P. Sankara Sarma
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, 695011, India
| | - Sivadasanpillai Harikrishnan
- Department of Cardiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, 695011, India
| | - Geevar Zachariah
- Department of Cardiology, Mother Heart Care, Mother Hospital, Thrissur, Kerala, India
| | - Panniyammakal Jeemon
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, 695011, India
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Mor S, Lev-RN Z, Tal S. Is family history of coronary artery disease important in the emergency department triage? Int Emerg Nurs 2020; 50:100855. [DOI: 10.1016/j.ienj.2020.100855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2019] [Revised: 03/06/2020] [Accepted: 03/10/2020] [Indexed: 11/25/2022]
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Chacko M, Sarma PS, Harikrishnan S, Zachariah G, Jeemon P. Family history of cardiovascular disease and risk of premature coronary heart disease: A matched case-control study. Wellcome Open Res 2020; 5:70. [PMID: 32518841 PMCID: PMC7256470 DOI: 10.12688/wellcomeopenres.15829.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/03/2020] [Indexed: 03/30/2024] Open
Abstract
Background: Self-reported family history of cardiovascular disease (CVD) is an independent risk factor for future coronary heart disease (CHD) events. However, inclusion of family history of CVD in the traditional risk scores failed to improve risk prediction of CHD. It is proposed that family history of CVD may substantially increase the risk of CHD among younger individuals. Methods: We conducted a matched case-control study with 170 hospital-based premature CHD patients (<55 years in men and <65 years in women) from a tertiary care centre in Thiruvananthapuram, Kerala and age and sex matched community-based controls in 1:1 ratio. Conditional logistic regression analysis was conducted to assess the independent association of family history of cardiovascular disease (CVD) and premature CHD. We estimated McNemar's odds ratios and their 95 percent confidence intervals. Results: The prevalence of any family history of CVD and CHD in the control population was 24% and 21%, respectively. The family history of CVD was independently associated with premature CHD (odds ratio (OR) = 9.0; 95% confidence interval (CI) 4.7-17.3). There was a dose-response relationship between family history and premature CHD as the risk increased linearly with increase in number of affected family members. Conclusions: Family history of CVD is an independent risk factor for premature CHD. The risk of premature CHD increases linearly with increase in number of affected family members. Collecting family history beyond parental history of CVD is important for risk stratification. Targeting young individuals with family history of CVD for intensive risk reduction interventions may help to prevent future events.
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Affiliation(s)
- Manas Chacko
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, 695011, India
| | - P. Sankara Sarma
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, 695011, India
| | - Sivadasanpillai Harikrishnan
- Department of Cardiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, 695011, India
| | - Geevar Zachariah
- Department of Cardiology, Mother Heart Care, Mother Hospital, Thrissur, Kerala, India
| | - Panniyammakal Jeemon
- Achutha Menon Centre for Health Science Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Trivandrum, Kerala, 695011, India
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Virani SS, Alonso A, Benjamin EJ, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Shay CM, Spartano NL, Stokes A, Tirschwell DL, VanWagner LB, Tsao CW. Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association. Circulation 2020; 141:e139-e596. [PMID: 31992061 DOI: 10.1161/cir.0000000000000757] [Citation(s) in RCA: 4937] [Impact Index Per Article: 1234.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
BACKGROUND The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs). METHODS The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update. The 2020 Statistical Update is the product of a full year's worth of effort by dedicated volunteer clinicians and scientists, committed government professionals, and American Heart Association staff members. This year's edition includes data on the monitoring and benefits of cardiovascular health in the population, metrics to assess and monitor healthy diets, an enhanced focus on social determinants of health, a focus on the global burden of cardiovascular disease, and further evidence-based approaches to changing behaviors, implementation strategies, and implications of the American Heart Association's 2020 Impact Goals. RESULTS Each of the 26 chapters in the Statistical Update focuses on a different topic related to heart disease and stroke statistics. CONCLUSIONS The Statistical Update represents a critical resource for the lay public, policy makers, media professionals, clinicians, healthcare administrators, researchers, health advocates, and others seeking the best available data on these factors and conditions.
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Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Das SR, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Jordan LC, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, O'Flaherty M, Pandey A, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Spartano NL, Stokes A, Tirschwell DL, Tsao CW, Turakhia MP, VanWagner LB, Wilkins JT, Wong SS, Virani SS. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation 2019; 139:e56-e528. [PMID: 30700139 DOI: 10.1161/cir.0000000000000659] [Citation(s) in RCA: 5401] [Impact Index Per Article: 1080.2] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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Zdrenghea D, Guşetu G, Zdrenghea M, Cismaru G, Caloian B, Vaidean G, Pop D. CV RISK - A new relative cardiovascular risk score. Med Hypotheses 2019; 132:109362. [PMID: 31450075 DOI: 10.1016/j.mehy.2019.109362] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2019] [Accepted: 08/11/2019] [Indexed: 02/08/2023]
Abstract
BACKGROUND AND AIMS Nowadays it is recommended to use risk scores to evaluate the magnitude of cardiovascular risk in healthy people, most popular being SCORE (Europe) and Framingham and ASCVD (US). Unfortunately, they are not enough motivating in young and old population, don't consider protective factors and cannot be used in cardiovascular patients always included in very high risk category. To improve the evaluation everytime of individual cardiovascular risk we described a new score - CVRISK (cardiovascular relative individual risk). METHODS It uses 15 items and can be used also in cardiovascular patients. The first seven items are clinical - age and gender, heredity, smoking, hypertension, obesity, psychosocial stress, previous cardiovascular disease. For items refer to laboratory data - LDL-C, HDL-C, TG, fasting plasma glucose (diabetes mellitus). The last two are protective factors - physical activity and healthy diet. RESULTS Every item has a number of risk points and protective factors decrease with 25% and 15% the calculated risk. The risk can be automatically calculated after the introduction of the required data through an algorithm available at www.cvrisk.ro. Here, the calculated risk is compared with optimal and maximal risk. Thus the user is motivated to initiate or to continue preventive measures also suggested at www.cvrisk.ro, to improve cardiovascular health. CONCLUSION CVRISK is not a substitute of current risk scores, but a complimentary tool to appreciate and modulate the individual cardiovascular risk. It can be useful to prevent CV disease or to improve its evolution. Individuals themselves can calculate it in order to maintain or improve their health.
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Affiliation(s)
- Dumitru Zdrenghea
- University of Medicine and Pharmacy "Iuliu Hatieganu", Cluj-Napoca, Romania; Clinical Rehabilitation Hospital, Cardiology Department, Cluj-Napoca, Romania.
| | - Gabriel Guşetu
- University of Medicine and Pharmacy "Iuliu Hatieganu", Cluj-Napoca, Romania; Clinical Rehabilitation Hospital, Cardiology Department, Cluj-Napoca, Romania.
| | - Mihnea Zdrenghea
- University of Medicine and Pharmacy "Iuliu Hatieganu", Cluj-Napoca, Romania; Clinical Rehabilitation Hospital, Cardiology Department, Cluj-Napoca, Romania.
| | - Gabriel Cismaru
- University of Medicine and Pharmacy "Iuliu Hatieganu", Cluj-Napoca, Romania; Clinical Rehabilitation Hospital, Cardiology Department, Cluj-Napoca, Romania.
| | - Bogdan Caloian
- University of Medicine and Pharmacy "Iuliu Hatieganu", Cluj-Napoca, Romania; Clinical Rehabilitation Hospital, Cardiology Department, Cluj-Napoca, Romania.
| | - Georgeta Vaidean
- Fairleigh Dickinson University, Department of Chemistry and Pharmaceutical Science, New York, United States.
| | - Dana Pop
- University of Medicine and Pharmacy "Iuliu Hatieganu", Cluj-Napoca, Romania; Clinical Rehabilitation Hospital, Cardiology Department, Cluj-Napoca, Romania.
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Ra JS, Kim HS, Jeong YH. Associated Factors of Ischemic Heart Disease Identified Among Post-Menopausal Women. Osong Public Health Res Perspect 2019; 10:56-63. [PMID: 31065531 PMCID: PMC6481579 DOI: 10.24171/j.phrp.2019.10.2.03] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Objectives This study identifies associated factors of ischemic heart disease (IHD) among post-menopausal Korean women at the biomedical (age, family history of hypertension, dyslipidemia, type 2 diabetes mellitus, or cerebro-cardiovascular disease, body mass index, and metabolic syndrome), biosocial (socioeconomic status and educational level), and psychosocial levels (stress, depression, smoking, binge alcohol consumption, and physical activity). Methods This study used a cross-sectional design with secondary data analysis of the 2013–2016 Korean National Health and Nutrition Examination Survey. Data from 3,636 women were analyzed by logistic regression analysis using a complex sample procedure. Results Of the biomedical factors, older age [odds ratio (OR): 2.99, 95% confidence interval (CI): 1.87–4.80, p < 0.001], family history (OR: 2.29, 95% CI: 1.44–3.65, p = 0.001), and metabolic syndrome (OR: 1.93, 95% CI: 1.27–2.95, p = 0.002) were associated with IHD in post-menopausal women. Of the psychosocial factors, depression (OR: 2.56, 95% CI: 1.66–3.96, p < 0.001) and smoking (OR: 1.92, CI: 1.04–3.55, p = 0.038) were associated with IHD in post-menopausal women. Conclusion These findings suggest that healthcare providers need to consider the contributing adverse effects of older age, family history, metabolic syndrome, depression and smoking when evaluating risk factors for IHD in post-menopausal women.
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Affiliation(s)
- Jin Suk Ra
- College of Nursing, Chungnam National University, Deajeon, Korea
| | - Hye Sun Kim
- College of Nursing, Chungnam National University, Deajeon, Korea
| | - Yeon-Hee Jeong
- College of Nursing, Chungnam National University, Deajeon, Korea
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