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Suzuki T, Haberlen S, Peterson TE, Palella F, Budoff MJ, Witt MD, Magnani JW, Post WS. Coronary artery calcium and all-cause mortality in the Multicenter AIDS Cohort Study. Atherosclerosis 2025:119181. [PMID: 40199704 DOI: 10.1016/j.atherosclerosis.2025.119181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2024] [Revised: 03/17/2025] [Accepted: 03/27/2025] [Indexed: 04/10/2025]
Abstract
BACKGROUND AND AIMS People with HIV (PWH) have greater risk of subclinical cardiovascular disease than people without HIV, but few studies have evaluated risk for mortality based on coronary artery calcium (CAC) among PWH. We aimed to determine the association between CAC and all-cause mortality among men with (MWH) and without HIV (MWOH) and if it differs by HIV serostatus. METHODS We performed a longitudinal analysis in the Multicenter AIDS Cohort Study. We included men who underwent non-contrast cardiac computed tomography. Cox regression analyses were used to examine the associations between CAC presence (Agatston score>0), and with extent of CAC (log (CAC+1)), and subsequent mortality to calculate adjusted hazard ratios [aHR]. We evaluated differences by HIV serostatus using multiplicative CAC × HIV interaction terms. RESULTS Among 1344 men (mean age 50 years, CAC prevalence 45.7 %, 821 [61.1 %] MWH), we observed 108 deaths (13.2 %) among MWH and 43 deaths (8.2 %) among MWOH during follow-up (median:13.4 years). CAC presence was positively associated with mortality among all participants (aHR:1.46, 95 %CI:1.02-2.10, p = 0.04) and MWH (aHR:1.62, 1.05-2.49, p = 0.03). Among MWOH, we found no significant association (aHR:1.28, 0.63-2.58, p = 0.50). The extent of CAC was associated with mortality among all participants (aHR:1.37 per SD, 1.15-1.63, p < 0.001) and MWH (aHR:1.41,1.14-1.74, p = 0.002). Among MWOH, we found no significant association (aHR:1.35, 0.98-1.85, p = 0.07). There were no significant interactions by HIV serostatus for mortality for either the presence (p = 0.35) or extent of CAC (p = 0.51). CONCLUSIONS CAC was positively associated with mortality in a large cohort of MWH, and the overall cohort including MWH and MWOH.
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Affiliation(s)
- Takahiro Suzuki
- Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Department of Cardiovascular Medicine, St. Luke's International Hospital, Tokyo, Japan
| | - Sabina Haberlen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States
| | - Tess E Peterson
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Frank Palella
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States
| | - Matthew J Budoff
- Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States
| | - Mallory D Witt
- Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, United States
| | - Jared W Magnani
- Center for Research on Health Care, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, United States
| | - Wendy S Post
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States; Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, United States.
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Armentano RL, Cymberknop LJ, Kun L. Democratizing Coronary Disease Risk Evaluation: Upholding Dr. Favaloro's Legacy With Affordable Remote Screening. IEEE J Biomed Health Inform 2025; 29:2310-2317. [PMID: 40030429 DOI: 10.1109/jbhi.2024.3512940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2025]
Abstract
This review examines the figure of Dr. René Favaloro, a pioneer in cardiovascular surgery and advocate for social justice, who devoted his life to making advanced medical care accessible to underserved communities. Despite the increasing incidence of coronary artery disease (CAD), particularly in Asian and Latin American countries, Favaloro envisioned a healthcare system where innovative technology benefits everyone. Building on his ideals, we explore the democratization of healthcare access through innovative tools for cardiovascular risk assessment, specifically Pulse Wave Velocity (PWV) and its association with Coronary Artery Calcium Score (CACs). PWV, a non-invasive and cost-effective method, shows promise as a practical screening tool for CAD, particularly when combined with Computational Intelligence (CI) and the Internet of Medical Things (IoMT). The integration of PWV into a Point-of-Care Testing (POCT) framework could enhance preventive care, especially in underserved populations. By aligning with Favaloro's vision of equitable healthcare, this approach seeks to support CAD screening and risk assessment in low-resource settings, aiming to overcome socio-economic barriers and improve access to preventive cardiac care.
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Mhaimeed O, Dardari ZA, Khorsandi M, Dzaye O, Sharma K, Nasir K, Berman DS, Budoff MJ, Shaw LJ, Rumberger JA, Miedema MD, Blaha MJ. Coronary Artery Calcium for Risk Stratification of Heart Failure Mortality: The Coronary Artery Calcium Consortium. J Card Fail 2024:S1071-9164(24)00922-9. [PMID: 39547402 DOI: 10.1016/j.cardfail.2024.10.437] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2024] [Revised: 10/08/2024] [Accepted: 10/09/2024] [Indexed: 11/17/2024]
Abstract
BACKGROUND There is increasing interest in predicting heart failure (HF), a major cause of morbidity and mortality with a significant financial burden. The role of coronary artery calcium (CAC), an accessible and inexpensive test, in predicting long-term HF mortality among asymptomatic adults remains unknown. We aimed to determine whether CAC burden is associated with HF-related mortality in the CAC Consortium. METHODS AND RESULTS The study included 66,636 primary prevention patients from the CAC Consortium. Multivariable competing risks regression was used to assess the association between CAC and HF-related mortality adjusting for demographics and traditional risk factors. The mean age was 54.4 years, 67% male, 89% White, and 55% had a CAC of >0. We observed 260 HF-related mortality events during a median follow up of 12.5 years; 75.3% occurred among those with a baseline CAC score of >100. Compared with a CAC of 0, there was a stepwise higher risk (P < .005) of HF mortality for a CAC of 1-100 (subdistribution hazard ratio [SHR] 2.27, 95% CI 1.3-3.99), 100-400 (SHR 3.68, 95% CI 2.1-6.43), and >400 (SHR 7.05, 95% CI 4.05-12.29). This increasing risk of HF mortality across higher CAC scores persisted across age groups, sex, and in the intermediate and high-risk groups as calculated by the pooled cohort equation and Predicting Risk of cardiovascular disease EVENTs (PREVENT) equation. CONCLUSIONS A higher CAC is associated with an increasing incidence of long-term HF-related mortality in the primary prevention population, particularly intermediate and high-risk patients. Early preventive approaches in patients with high CAC must focus on preventing HF and atherosclerotic cardiovascular disease with lifestyle changes and medications.
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Affiliation(s)
- Omar Mhaimeed
- Department of Medicine, Johns Hopkins Hospital, Baltimore, Maryland
| | - Zeina A Dardari
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Michael Khorsandi
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Omar Dzaye
- Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Kavita Sharma
- Department of Medicine, Johns Hopkins Hospital, Baltimore, Maryland; Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Khurram Nasir
- Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart & Vascular Center, Houston, Texas
| | - Daniel S Berman
- Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, California
| | - Matthew J Budoff
- Lundquist Institute, Harbor-UCLA Medical Center, Torrance, California
| | - Leslee J Shaw
- Department of Radiology, Weill Cornell Medicine, New York, New York
| | - John A Rumberger
- Department of Cardiac Imaging, Princeton Longevity Center, Princeton, New Jersey
| | | | - Michael J Blaha
- Department of Medicine, Johns Hopkins Hospital, Baltimore, Maryland; Ciccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
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Dzaye O, Razavi AC, Dardari ZA, Wang FM, Honda Y, Nasir K, Coresh J, Howard-Claudio CM, Jin J, Yu B, de Vries PS, Wagenknecht L, Folsom AR, Blankstein R, Kelly TN, Whelton SP, Mortensen MB, Wang Z, Chatterjee N, Matsushita K, Blaha MJ. Polygenic Risk Scores and Extreme Coronary Artery Calcium Phenotypes (CAC=0 and CAC≥1000) in Adults ≥75 Years Old: The ARIC Study. Circ Cardiovasc Imaging 2024; 17:e016377. [PMID: 39534973 PMCID: PMC11576240 DOI: 10.1161/circimaging.123.016377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Accepted: 09/18/2024] [Indexed: 11/16/2024]
Abstract
BACKGROUND Coronary artery calcium (CAC) is heterogeneous in older age and is incompletely explained by traditional atherosclerotic cardiovascular disease risk factors. The extremes of subclinical atherosclerosis burden are strongly associated with either a low or high 10-year risk of incident atherosclerotic cardiovascular disease, respectively. However, the genetic underpinnings of differences in arterial aging remain unclear. We sought to determine the independent association of 2 polygenic scores for coronary heart disease (CHD) with CAC in adults ≥75 years of age. METHODS There were 1865 ARIC (Atherosclerosis Risk in Communities) participants who underwent genetic testing at visit 1 (1987-1989) and CAC scans at visit 7 (2018-2019). In the primary analysis, an externally derived multi-ancestry polygenic CHD risk score was calculated for both White and Black participants. Results were confirmed using a separate ARIC-derived polygenic CHD risk score, including ≥6 million variants computed for White participants. We used multivariable logistic regression models to assess the association of polygenic CHD risk with CAC, after adjusting for baseline, time-averaged lifestyle, traditional risk factors, and local ancestry principal components. RESULTS In the primary analysis, the average age was 80.6 years old, 61.6% were women, and the median CAC score was 246 (189 participants with CAC=0, 364 participants with CAC≥1000). Compared with persons below the 20th percentile of polygenic CHD risk, persons with polygenic-CHD risk above the 80th percentile had 82% lower odds of having CAC=0 (odds ratio, 0.18 [95% CI, 0.09-0.37]) and had >4-fold higher odds of CAC≥1000 (odds ratio, 4.77 [95% CI, 2.88-7.88]). On a continuous scale, each SD increment increase in the polygenic risk score was associated with a 78% higher CAC score. Results were nearly identical using a second confirmatory polygenic CHD risk score in White participants. CONCLUSIONS Polygenic CHD risk is robustly associated with a lower prevalence of CAC=0 and a higher prevalence of CAC≥1000 in adults ≥75 years of age, beyond lifestyle and traditional risk factors. These results suggest a heritable contribution to distinct healthy and unhealthy arterial aging phenotypes that persist throughout the life course.
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Affiliation(s)
- Omar Dzaye
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD (O.D., A.C.R., Z.A.D., S.P.W., M.B.M., M.J.B.)
| | - Alexander C Razavi
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD (O.D., A.C.R., Z.A.D., S.P.W., M.B.M., M.J.B.)
- Emory Center for Heart Disease Prevention, Emory University School of Medicine, Atlanta, GA (A.C.R.)
| | - Zeina A Dardari
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD (O.D., A.C.R., Z.A.D., S.P.W., M.B.M., M.J.B.)
| | - Frances M Wang
- Department of Epidemiology (F.M.W., Y.H., J.C., K.M.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Yasuyuki Honda
- Department of Epidemiology (F.M.W., Y.H., J.C., K.M.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Khurram Nasir
- Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Houston, TX (K.N.)
| | - Josef Coresh
- Department of Epidemiology (F.M.W., Y.H., J.C., K.M.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | | | - Jin Jin
- Department of Biostatistics (J.J., Z.W., N.C.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Bing Yu
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston (B.Y., P.S.V.)
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston (B.Y., P.S.V.)
| | - Lynne Wagenknecht
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC (L.W.)
| | - Aaron R Folsom
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis (A.R.F.)
| | - Ron Blankstein
- Cardiovascular Imaging Program, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (R.B.)
| | - Tanika N Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA (T.N.K.)
| | - Seamus P Whelton
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD (O.D., A.C.R., Z.A.D., S.P.W., M.B.M., M.J.B.)
| | - Martin Bødtker Mortensen
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD (O.D., A.C.R., Z.A.D., S.P.W., M.B.M., M.J.B.)
- Department of Cardiology, Aarhus University Hospital, Denmark (M.B.M.)
| | - Ziqiao Wang
- Department of Biostatistics (J.J., Z.W., N.C.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Nilanjan Chatterjee
- Department of Biostatistics (J.J., Z.W., N.C.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Kunihiro Matsushita
- Department of Epidemiology (F.M.W., Y.H., J.C., K.M.), Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Baltimore, MD (O.D., A.C.R., Z.A.D., S.P.W., M.B.M., M.J.B.)
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Chen L, Ye X, Li Y, Ran X. Systematic identification of therapeutic targets for coronary artery calcification: an integrated transcriptomic and proteomic Mendelian randomization. Front Cardiovasc Med 2024; 11:1419440. [PMID: 39526184 PMCID: PMC11543530 DOI: 10.3389/fcvm.2024.1419440] [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: 04/28/2024] [Accepted: 10/17/2024] [Indexed: 11/16/2024] Open
Abstract
Background Coronary artery calcification (CAC) is associated with an increased risk of mortality and cardiovascular events. However, none therapeutic drugs have been proven effective for CAC treatment. The objective of this study was to identify potential therapeutic targets for CAC through the utilization of Mendelian randomization (MR) and colocalization analysis. Methods The expression quantitative trait loci (eQTLs) of 16,943 genes from the eQTLGen consortium and protein quantitative trait loci (pQTLs) of 4,412 proteins from a plasma proteome were utilized as genetic instruments. Genetic associations with CAC were derived from a GWAS meta-analysis of 26,909 individuals. The MR and colocalization analysis were utilized to identify potential target genes. Results A total of 671 genes were found to be significantly associated with the risk of CAC based on transcriptomic MR analysis at a false discovery rate <0.05, while proteomic MR analysis identified 15 genes with significant associations with CAC at the same threshold. With robust evidence from colocalization analysis, we observed positive associations between CWF19L2, JARID2, and MANBA and the risk of CAC, while KLB exhibited an inverse association. In summary, our study identified 23 potential therapeutic targets for CAC. Further downstream analysis revealed IGFBP3, ABCC6, ULK3, DOT1L, KLB and AMH as promising candidates for repurposing in the treatment of CAC. Conclusion The integrated MR analysis of transcriptomic and proteomic data identified multiple potential drug targets for the treatment of CAC. ULK3, DOT1L, and AMH were recognized as novel targets for drug repurposing for CAC and deserve further investigation.
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Affiliation(s)
- Lihong Chen
- Department of Endocrinology & Metabolism, West China Hospital, Sichuan University, Chengdu, China
- Innovation Research Center for Diabetic Foot, Diabetic Foot Care Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaoqi Ye
- Department of Endocrinology & Metabolism, West China Hospital, Sichuan University, Chengdu, China
- Innovation Research Center for Diabetic Foot, Diabetic Foot Care Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yan Li
- Department of Endocrinology & Metabolism, West China Hospital, Sichuan University, Chengdu, China
- Innovation Research Center for Diabetic Foot, Diabetic Foot Care Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xingwu Ran
- Department of Endocrinology & Metabolism, West China Hospital, Sichuan University, Chengdu, China
- Innovation Research Center for Diabetic Foot, Diabetic Foot Care Center, West China Hospital, Sichuan University, Chengdu, China
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Cortiana V, Vaghela H, Bakhle R, Santhosh T, Kaiwan O, Tausif A, Goel A, Suhail MK, Patel N, Akram O, Kaka N, Sethi Y, Moinuddin A. Beyond the Heart: The Predictive Role of Coronary Artery Calcium Scoring in Non-Cardiovascular Disease Risk Stratification. Diagnostics (Basel) 2024; 14:2349. [PMID: 39518317 PMCID: PMC11545064 DOI: 10.3390/diagnostics14212349] [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: 09/22/2024] [Revised: 10/19/2024] [Accepted: 10/21/2024] [Indexed: 11/16/2024] Open
Abstract
Coronary artery calcium scoring (CACS), a non-invasive measure of coronary atherosclerosis, has significantly enhanced cardiovascular (CV) risk assessment and stratification in asymptomatic individuals. More recently, a higher score for CAC has been associated with an increased risk of non-CV diseases and all-cause mortality. This review consolidated evidence supporting the role of CAC in assessing non-CV diseases, emphasizing its potential in early diagnosis and prognosis. We observed a strong association between CACS and non-CV diseases, viz., chronic obstructive pulmonary disease, pulmonary embolism, pneumonia, diabetes, chronic kidney disease, osteoporosis, metabolic dysfunction-associated steatotic liver disease, nephrolithiasis, stroke, dementia, malignancies, and several autoimmune diseases. Also, CAC may aid in evaluating the risk of CV conditions developing secondary to the non-CV diseases mentioned earlier. Further evidence from prospective studies, intervention trials, and population-based behavioral studies is needed to establish CAC cutoff values and explore preventative care applications, facilitating their broader integration into healthcare practices.
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Affiliation(s)
- Viviana Cortiana
- PearResearch, Dehradun 248001, India; (V.C.); (H.V.); (R.B.); (T.S.); (A.T.); (N.P.); (N.K.); (A.M.)
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, 40126 Bologna, Italy
| | - Hetvee Vaghela
- PearResearch, Dehradun 248001, India; (V.C.); (H.V.); (R.B.); (T.S.); (A.T.); (N.P.); (N.K.); (A.M.)
- Pandit Deendayal Upadhyay Medical College, Rajkot 360001, India
| | - Rahul Bakhle
- PearResearch, Dehradun 248001, India; (V.C.); (H.V.); (R.B.); (T.S.); (A.T.); (N.P.); (N.K.); (A.M.)
- Medical College Baroda, Maharaja Sayajirao University, Vadodara 390001, India
| | - Tony Santhosh
- PearResearch, Dehradun 248001, India; (V.C.); (H.V.); (R.B.); (T.S.); (A.T.); (N.P.); (N.K.); (A.M.)
- Dr. Somervell Memorial CSI Medical College, Thiruvananthapuram 695504, India
| | - Oroshay Kaiwan
- PearResearch, Dehradun 248001, India; (V.C.); (H.V.); (R.B.); (T.S.); (A.T.); (N.P.); (N.K.); (A.M.)
- Department of Medicine, MetroHealth Medical Center, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Aalia Tausif
- PearResearch, Dehradun 248001, India; (V.C.); (H.V.); (R.B.); (T.S.); (A.T.); (N.P.); (N.K.); (A.M.)
| | - Ashish Goel
- Department of Physiology, Graphic Era Institute of Medical Sciences, Dehradun 248008, India;
| | - Mohammed K. Suhail
- Department of Public Health & Community Medicine, International Medical University, Kuala Lumpur 57000, Malaysia;
| | - Neil Patel
- PearResearch, Dehradun 248001, India; (V.C.); (H.V.); (R.B.); (T.S.); (A.T.); (N.P.); (N.K.); (A.M.)
- Department of Medicine, GMERS Medical College, Himmatnagar 390021, India
| | - Omar Akram
- Department of Medicine, Highland Hospital, Alameda Health System, Oakland, CA 94602, USA
| | - Nirja Kaka
- PearResearch, Dehradun 248001, India; (V.C.); (H.V.); (R.B.); (T.S.); (A.T.); (N.P.); (N.K.); (A.M.)
- Department of Medicine, GMERS Medical College, Himmatnagar 390021, India
| | - Yashendra Sethi
- PearResearch, Dehradun 248001, India; (V.C.); (H.V.); (R.B.); (T.S.); (A.T.); (N.P.); (N.K.); (A.M.)
- Department of Medicine, Government Doon Medical College, HNB Uttarakhand Medical Education University, Dehradun 248001, India
| | - Arsalan Moinuddin
- PearResearch, Dehradun 248001, India; (V.C.); (H.V.); (R.B.); (T.S.); (A.T.); (N.P.); (N.K.); (A.M.)
- School of Sports and Exercise, University of Gloucestershire, Cheltenham GL50 2RH, UK
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Ji Y, Han X, Gu Y, Liu J, Li Y, Zhang W, Dang A, Lv N. Exploring the Association of Smoking and Alcohol Consumption with Presence of and Severe Coronary Artery Calcification. Rev Cardiovasc Med 2024; 25:376. [PMID: 39484144 PMCID: PMC11522758 DOI: 10.31083/j.rcm2510376] [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: 04/16/2024] [Revised: 06/03/2024] [Accepted: 06/13/2024] [Indexed: 11/03/2024] Open
Abstract
Background Despite the majority of studies have identified smoking as a risk factor for coronary artery calcification (CAC), some studies have not identified this relationship. Differences on results reached by studies on the association of alcohol consumption with CAC exist. Moreover, studies have almost exclusively investigated the association between smoking and alcohol consumption independently. Whether an interaction effect of alcohol on the association of smoking and CAC exists has hardly been investigated. Methods The data of 2431 adult patients who visited Fuwai Hospital, Chinese Academy of Medical Sciences from September, 2001 to December, 2023 and had Agaston coronary artery calcification score (CACS) reported were utilized. Patients who (1) underwent percutaneous coronary intervention, coronary bypass graft and heart transplantation, or (2) were complicated by acute medical conditions, chronic kidney disease or malignant neoplasms were excluded. Data from 1528 patients were eventually analyzed. Logistic regression was employed to investigate the association of smoking and alcohol consumption with presence of CAC and severe CAC. Interaction effects of alcohol consumption history on the association of current smoking and both presence of and severe CAC were examined. Results Smoking history was significantly associated with presence of CAC and severe CAC. Current alcohol consumption was also significantly associated with presence of CAC and severe CAC. After adjusting for confounders, alcohol consumption history demonstrated an interaction effect on the association of current smoking with both presence of and severe CAC. Using non-alcohol consumers not smoking at the time of the study as reference, current smokers with an alcohol consumption history suffered from an increased risk of presence of CAC and severe CAC. Conclusions Both smoking history and current alcohol consumption were associated with presence of and severe CAC. Alcohol consumption history demonstrated an interaction effect on the association of current smoking with both presence of and severe CAC.
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Affiliation(s)
- Yinze Ji
- Premium Care Center, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, 100037 Beijing, China
| | - Xiaorong Han
- Premium Care Center, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, 100037 Beijing, China
| | - Yingzhen Gu
- Premium Care Center, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, 100037 Beijing, China
| | - Jinxing Liu
- Premium Care Center, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, 100037 Beijing, China
| | - Yifan Li
- Premium Care Center, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, 100037 Beijing, China
| | - Wei Zhang
- Premium Care Center, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, 100037 Beijing, China
| | - Aimin Dang
- Premium Care Center, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, 100037 Beijing, China
| | - Naqiang Lv
- Premium Care Center, Department of Cardiology, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, National Clinical Research Center for Cardiovascular Diseases, National Center for Cardiovascular Diseases, 100037 Beijing, China
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Chang Y, Yoon SH, Kwon R, Kang J, Kim YH, Kim JM, Chung HJ, Choi J, Jung HS, Lim GY, Ahn J, Wild SH, Byrne CD, Ryu S. Automated Comprehensive CT Assessment of the Risk of Diabetes and Associated Cardiometabolic Conditions. Radiology 2024; 312:e233410. [PMID: 39105639 DOI: 10.1148/radiol.233410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/07/2024]
Abstract
Background CT performed for various clinical indications has the potential to predict cardiometabolic diseases. However, the predictive ability of individual CT parameters remains underexplored. Purpose To evaluate the ability of automated CT-derived markers to predict diabetes and associated cardiometabolic comorbidities. Materials and Methods This retrospective study included Korean adults (age ≥ 25 years) who underwent health screening with fluorine 18 fluorodeoxyglucose PET/CT between January 2012 and December 2015. Fully automated CT markers included visceral and subcutaneous fat, muscle, bone density, liver fat, all normalized to height (in meters squared), and aortic calcification. Predictive performance was assessed with area under the receiver operating characteristic curve (AUC) and Harrell C-index in the cross-sectional and survival analyses, respectively. Results The cross-sectional and cohort analyses included 32166 (mean age, 45 years ± 6 [SD], 28833 men) and 27 298 adults (mean age, 44 years ± 5 [SD], 24 820 men), respectively. Diabetes prevalence and incidence was 6% at baseline and 9% during the 7.3-year median follow-up, respectively. Visceral fat index showed the highest predictive performance for prevalent and incident diabetes, yielding AUC of 0.70 (95% CI: 0.68, 0.71) for men and 0.82 (95% CI: 0.78, 0.85) for women and C-index of 0.68 (95% CI: 0.67, 0.69) for men and 0.82 (95% CI: 0.77, 0.86) for women, respectively. Combining visceral fat, muscle area, liver fat fraction, and aortic calcification improved predictive performance, yielding C-indexes of 0.69 (95% CI: 0.68, 0.71) for men and 0.83 (95% CI: 0.78, 0.87) for women. The AUC for visceral fat index in identifying metabolic syndrome was 0.81 (95% CI: 0.80, 0.81) for men and 0.90 (95% CI: 0.88, 0.91) for women. CT-derived markers also identified US-diagnosed fatty liver, coronary artery calcium scores greater than 100, sarcopenia, and osteoporosis, with AUCs ranging from 0.80 to 0.95. Conclusion Automated multiorgan CT analysis identified individuals at high risk of diabetes and other cardiometabolic comorbidities. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Pickhardt in this issue.
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Affiliation(s)
- Yoosoo Chang
- From the Center for Cohort Studies (Y.C., R.K., J.K., J.H.C., H.S.J., G.Y.L., J.A., S.R.) and Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea (Y.C., S.R.); Department of Radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Republic of Korea (S.H.Y.); Research & Science Division, MEDICAL IP, Seoul, Republic of Korea (J.M.K., H.J.C.); Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (R.K., G.Y.L.); Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Y.H.K.); Usher Institute, University of Edinburgh, Edinburgh, United Kingdom (S.H.W.); Department of Nutrition and Metabolism, University of Southampton Faculty of Medicine, Southampton, United Kingdom (C.D.B.); and National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom (C.D.B.)
| | - Soon Ho Yoon
- From the Center for Cohort Studies (Y.C., R.K., J.K., J.H.C., H.S.J., G.Y.L., J.A., S.R.) and Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea (Y.C., S.R.); Department of Radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Republic of Korea (S.H.Y.); Research & Science Division, MEDICAL IP, Seoul, Republic of Korea (J.M.K., H.J.C.); Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (R.K., G.Y.L.); Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Y.H.K.); Usher Institute, University of Edinburgh, Edinburgh, United Kingdom (S.H.W.); Department of Nutrition and Metabolism, University of Southampton Faculty of Medicine, Southampton, United Kingdom (C.D.B.); and National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom (C.D.B.)
| | - Ria Kwon
- From the Center for Cohort Studies (Y.C., R.K., J.K., J.H.C., H.S.J., G.Y.L., J.A., S.R.) and Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea (Y.C., S.R.); Department of Radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Republic of Korea (S.H.Y.); Research & Science Division, MEDICAL IP, Seoul, Republic of Korea (J.M.K., H.J.C.); Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (R.K., G.Y.L.); Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Y.H.K.); Usher Institute, University of Edinburgh, Edinburgh, United Kingdom (S.H.W.); Department of Nutrition and Metabolism, University of Southampton Faculty of Medicine, Southampton, United Kingdom (C.D.B.); and National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom (C.D.B.)
| | - Jeonggyu Kang
- From the Center for Cohort Studies (Y.C., R.K., J.K., J.H.C., H.S.J., G.Y.L., J.A., S.R.) and Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea (Y.C., S.R.); Department of Radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Republic of Korea (S.H.Y.); Research & Science Division, MEDICAL IP, Seoul, Republic of Korea (J.M.K., H.J.C.); Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (R.K., G.Y.L.); Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Y.H.K.); Usher Institute, University of Edinburgh, Edinburgh, United Kingdom (S.H.W.); Department of Nutrition and Metabolism, University of Southampton Faculty of Medicine, Southampton, United Kingdom (C.D.B.); and National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom (C.D.B.)
| | - Young Hwan Kim
- From the Center for Cohort Studies (Y.C., R.K., J.K., J.H.C., H.S.J., G.Y.L., J.A., S.R.) and Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea (Y.C., S.R.); Department of Radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Republic of Korea (S.H.Y.); Research & Science Division, MEDICAL IP, Seoul, Republic of Korea (J.M.K., H.J.C.); Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (R.K., G.Y.L.); Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Y.H.K.); Usher Institute, University of Edinburgh, Edinburgh, United Kingdom (S.H.W.); Department of Nutrition and Metabolism, University of Southampton Faculty of Medicine, Southampton, United Kingdom (C.D.B.); and National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom (C.D.B.)
| | - Jong-Min Kim
- From the Center for Cohort Studies (Y.C., R.K., J.K., J.H.C., H.S.J., G.Y.L., J.A., S.R.) and Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea (Y.C., S.R.); Department of Radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Republic of Korea (S.H.Y.); Research & Science Division, MEDICAL IP, Seoul, Republic of Korea (J.M.K., H.J.C.); Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (R.K., G.Y.L.); Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Y.H.K.); Usher Institute, University of Edinburgh, Edinburgh, United Kingdom (S.H.W.); Department of Nutrition and Metabolism, University of Southampton Faculty of Medicine, Southampton, United Kingdom (C.D.B.); and National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom (C.D.B.)
| | - Han-Jae Chung
- From the Center for Cohort Studies (Y.C., R.K., J.K., J.H.C., H.S.J., G.Y.L., J.A., S.R.) and Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea (Y.C., S.R.); Department of Radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Republic of Korea (S.H.Y.); Research & Science Division, MEDICAL IP, Seoul, Republic of Korea (J.M.K., H.J.C.); Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (R.K., G.Y.L.); Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Y.H.K.); Usher Institute, University of Edinburgh, Edinburgh, United Kingdom (S.H.W.); Department of Nutrition and Metabolism, University of Southampton Faculty of Medicine, Southampton, United Kingdom (C.D.B.); and National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom (C.D.B.)
| | - JunHyeok Choi
- From the Center for Cohort Studies (Y.C., R.K., J.K., J.H.C., H.S.J., G.Y.L., J.A., S.R.) and Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea (Y.C., S.R.); Department of Radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Republic of Korea (S.H.Y.); Research & Science Division, MEDICAL IP, Seoul, Republic of Korea (J.M.K., H.J.C.); Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (R.K., G.Y.L.); Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Y.H.K.); Usher Institute, University of Edinburgh, Edinburgh, United Kingdom (S.H.W.); Department of Nutrition and Metabolism, University of Southampton Faculty of Medicine, Southampton, United Kingdom (C.D.B.); and National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom (C.D.B.)
| | - Hyun-Suk Jung
- From the Center for Cohort Studies (Y.C., R.K., J.K., J.H.C., H.S.J., G.Y.L., J.A., S.R.) and Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea (Y.C., S.R.); Department of Radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Republic of Korea (S.H.Y.); Research & Science Division, MEDICAL IP, Seoul, Republic of Korea (J.M.K., H.J.C.); Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (R.K., G.Y.L.); Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Y.H.K.); Usher Institute, University of Edinburgh, Edinburgh, United Kingdom (S.H.W.); Department of Nutrition and Metabolism, University of Southampton Faculty of Medicine, Southampton, United Kingdom (C.D.B.); and National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom (C.D.B.)
| | - Ga-Young Lim
- From the Center for Cohort Studies (Y.C., R.K., J.K., J.H.C., H.S.J., G.Y.L., J.A., S.R.) and Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea (Y.C., S.R.); Department of Radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Republic of Korea (S.H.Y.); Research & Science Division, MEDICAL IP, Seoul, Republic of Korea (J.M.K., H.J.C.); Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (R.K., G.Y.L.); Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Y.H.K.); Usher Institute, University of Edinburgh, Edinburgh, United Kingdom (S.H.W.); Department of Nutrition and Metabolism, University of Southampton Faculty of Medicine, Southampton, United Kingdom (C.D.B.); and National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom (C.D.B.)
| | - Jiin Ahn
- From the Center for Cohort Studies (Y.C., R.K., J.K., J.H.C., H.S.J., G.Y.L., J.A., S.R.) and Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea (Y.C., S.R.); Department of Radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Republic of Korea (S.H.Y.); Research & Science Division, MEDICAL IP, Seoul, Republic of Korea (J.M.K., H.J.C.); Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (R.K., G.Y.L.); Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Y.H.K.); Usher Institute, University of Edinburgh, Edinburgh, United Kingdom (S.H.W.); Department of Nutrition and Metabolism, University of Southampton Faculty of Medicine, Southampton, United Kingdom (C.D.B.); and National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom (C.D.B.)
| | - Sarah H Wild
- From the Center for Cohort Studies (Y.C., R.K., J.K., J.H.C., H.S.J., G.Y.L., J.A., S.R.) and Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea (Y.C., S.R.); Department of Radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Republic of Korea (S.H.Y.); Research & Science Division, MEDICAL IP, Seoul, Republic of Korea (J.M.K., H.J.C.); Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (R.K., G.Y.L.); Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Y.H.K.); Usher Institute, University of Edinburgh, Edinburgh, United Kingdom (S.H.W.); Department of Nutrition and Metabolism, University of Southampton Faculty of Medicine, Southampton, United Kingdom (C.D.B.); and National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom (C.D.B.)
| | - Christopher D Byrne
- From the Center for Cohort Studies (Y.C., R.K., J.K., J.H.C., H.S.J., G.Y.L., J.A., S.R.) and Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea (Y.C., S.R.); Department of Radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Republic of Korea (S.H.Y.); Research & Science Division, MEDICAL IP, Seoul, Republic of Korea (J.M.K., H.J.C.); Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (R.K., G.Y.L.); Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Y.H.K.); Usher Institute, University of Edinburgh, Edinburgh, United Kingdom (S.H.W.); Department of Nutrition and Metabolism, University of Southampton Faculty of Medicine, Southampton, United Kingdom (C.D.B.); and National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom (C.D.B.)
| | - Seungho Ryu
- From the Center for Cohort Studies (Y.C., R.K., J.K., J.H.C., H.S.J., G.Y.L., J.A., S.R.) and Department of Occupational and Environmental Medicine (Y.C., S.R.), Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29 Saemunan-ro, Jongno-gu, Seoul 03181, Republic of Korea; Department of Clinical Research Design & Evaluation, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea (Y.C., S.R.); Department of Radiology, Seoul National University Hospital, Seoul National College of Medicine, Seoul, Republic of Korea (S.H.Y.); Research & Science Division, MEDICAL IP, Seoul, Republic of Korea (J.M.K., H.J.C.); Institute of Medical Research, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea (R.K., G.Y.L.); Department of Nuclear Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea (Y.H.K.); Usher Institute, University of Edinburgh, Edinburgh, United Kingdom (S.H.W.); Department of Nutrition and Metabolism, University of Southampton Faculty of Medicine, Southampton, United Kingdom (C.D.B.); and National Institute for Health and Care Research Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, United Kingdom (C.D.B.)
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Wen H, Huang R, Xu X, Xiong Z, Liu M, Guo Y, Zhuang X, Liao X. Prognostic significance of aortic valve calcification in relation to coronary artery calcification for cardiovascular diseases. Eur J Prev Cardiol 2024; 31:1173-1182. [PMID: 38394450 DOI: 10.1093/eurjpc/zwae078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 01/25/2024] [Accepted: 01/30/2024] [Indexed: 02/25/2024]
Abstract
AIMS Both coronary artery calcification (CAC) and aortic valve calcification (AVC) are strongly associated with cardiovascular diseases (CVDs), but data about the prognostic significance of multiple cardiovascular calcifications are limited. We aim to investigate the interaction relationship between AVC and CAC for major events. METHODS AND RESULTS We included 6695 participants from the Multi-Ethnic Study of Atherosclerosis at baseline and divided them into four groups: (i) no AVC or CAC; (ii) only AVC; (iii) only CAC; and (iv) with CAC and CAC. The Cox regression model and the Kaplan-Meier method were used to analyse CVD outcomes. We evaluated the interaction between AVC and CAC and their added predictive value based on the pooled cohort equations (PCEs). Subgroup analyses were also explored. Among 6695 participants (mean age 62.2 ± 10.2 years, 47.2% male), after follow-up, 943 cases (14.1%) of CVD and 1274 cases (19.0%) of all-cause death occurred. For participants with both AVC and CAC, the risk of CVD significantly increased [hazard ratio = 3.43 (2.69-4.37), P < 0.001], even higher than the sum of the ones with only AVC and only CAC. This trend remained the same for all-cause death and among subgroup analyses. The addictive interaction was statistically significant (P < 0.001). When AVC and CAC were added, the predictive value of PCEs increased. CONCLUSION Our results indicated a synergistic interaction between valve calcification and coronary calcification in CVDs. Management for both AVC and CAC may bring health co-benefits in preventing poor outcomes.
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Affiliation(s)
- Han Wen
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation and Vascular Diseases, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Rihua Huang
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation and Vascular Diseases, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Xinghao Xu
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation and Vascular Diseases, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Zhenyu Xiong
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation and Vascular Diseases, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Menghui Liu
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation and Vascular Diseases, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Yue Guo
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation and Vascular Diseases, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Xiaodong Zhuang
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation and Vascular Diseases, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
| | - Xinxue Liao
- Department of Cardiology, The First Affiliated Hospital of Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
- NHC Key Laboratory of Assisted Circulation and Vascular Diseases, Sun Yat-Sen University, 58 Zhongshan 2nd Road, Guangzhou 510080, China
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10
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Ngamdu KS, Kalra DK. Risk of Stroke, Dementia, and Cognitive Decline with Coronary and Arterial Calcification. J Clin Med 2024; 13:4263. [PMID: 39064303 PMCID: PMC11277788 DOI: 10.3390/jcm13144263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 07/15/2024] [Accepted: 07/19/2024] [Indexed: 07/28/2024] Open
Abstract
Extant research shows that following a cerebrovascular insult to the brain, patients may develop a wide range of cognitive disorders, spanning from mild cognitive impairment (CI) to advanced dementia. Several studies have shown that atherosclerosis in the carotid, coronary, and breast arteries is associated with an increased risk of stroke, CI, and dementia. In this review, we examine the association of subclinical atherosclerotic calcification detected by computed tomography (CT) in these arterial beds and the risk of stroke, CI, and dementia. A major advantage of CT is that it can accurately quantify vascular calcification in different parts of the vasculature during a single examination. However, the strength of the association between CT findings and CI and stroke varies with the location and severity of the arteries involved. Data are still limited on this topic, highlighting the need for additional investigations to further our understanding of the risk of cognitive impairment in patients with subclinical atherosclerosis. It is equally important to test preventive strategies for managing patients in whom vascular calcifications are identified incidentally in randomized controlled trials to study the effects on outcomes, including incidents of stroke and CI.
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Affiliation(s)
| | - Dinesh K. Kalra
- Division of Cardiology, University of Louisville School of Medicine, 201 Abraham Flexner Way, Suite 600, Louisville, KY 40202, USA
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11
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Klemenz AC, Beckert L, Manzke M, Lang CI, Weber MA, Meinel FG. Influence of Deep Learning Based Image Reconstruction on Quantitative Results of Coronary Artery Calcium Scoring. Acad Radiol 2024; 31:2259-2267. [PMID: 38582685 DOI: 10.1016/j.acra.2024.03.020] [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: 01/10/2024] [Revised: 03/05/2024] [Accepted: 03/18/2024] [Indexed: 04/08/2024]
Abstract
RATIONALE AND OBJECTIVES To assess the impact of deep learning-based imaging reconstruction (DLIR) on quantitative results of coronary artery calcium scoring (CACS) and to evaluate the potential of DLIR for radiation dose reduction in CACS. METHODS For a retrospective cohort of 100 consecutive patients (mean age 62 ±10 years, 40% female), CACS scans were reconstructed with filtered back projection (FBP), adaptive statistical iterative reconstruction (ASiR-V in 30%, 60% and 90% strength) and DLIR in low, medium and high strength. CACS was quantified semi-automatically and compared between image reconstructions. In a phantom study, a cardiac calcification insert was scanned inside an anthropomorphic thorax phantom at standard dose, 50% dose and 25% dose. FBP reconstructions at standard dose served as the reference standard. RESULTS In the patient study, DLIR led to a mean underestimation of Agatston score by 3.5, 6.4 and 11.6 points at low, medium and high strength, respectively. This underestimation of Agatston score was less pronounced for DLIR than for ASiR-V. In the phantom study, quantitative CACS results increased with reduced radiation dose and decreased with increasing strength of DLIR. Medium strength DLIR reconstruction at 50% dose reduction and high strength DLIR reconstruction at 75% dose reduction resulted in quantitative CACS results that were comparable to FBP reconstructions at standard dose. CONCLUSION Compared to FBP as the historical reference standard, DLIR leads to an underestimation of CACS but this underestimation is more moderate than with ASiR-V. DLIR can offset the increase in image noise and calcium score at reduced dose and may thus allow for substantial radiation dose reductions in CACS studies.
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Affiliation(s)
- Ann-Christin Klemenz
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Schillingallee 36, 18057 Rostock, Germany
| | - Lynn Beckert
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Schillingallee 36, 18057 Rostock, Germany
| | - Mathias Manzke
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Schillingallee 36, 18057 Rostock, Germany
| | - Cajetan I Lang
- Department of Cardiology, University Medical Center Rostock, Rostock, Germany
| | - Marc-André Weber
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Schillingallee 36, 18057 Rostock, Germany
| | - Felix G Meinel
- Institute of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, University Medical Center Rostock, Schillingallee 36, 18057 Rostock, Germany.
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12
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Obisesan OH, Boakye E, Wang FM, Dardari Z, Dzaye O, Cainzos-Achirica M, Meyer ML, Gottesman R, Palta P, Coresh J, Howard-Claudio CM, Lin FR, Punjabi N, Nasir K, Matsushita K, Blaha MJ. Coronary artery calcium as a marker of healthy and unhealthy aging in adults aged 75 and older: The Atherosclerosis Risk in Communities (ARIC) study. Atherosclerosis 2024; 392:117475. [PMID: 38408881 PMCID: PMC11088977 DOI: 10.1016/j.atherosclerosis.2024.117475] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 01/29/2024] [Accepted: 02/01/2024] [Indexed: 02/28/2024]
Abstract
BACKGROUND AND AIMS Coronary artery calcium (CAC) is validated for risk prediction among middle-aged adults, but there is limited research exploring implications of CAC among older adults. We used data from the Atherosclerosis Risk in Communities (ARIC) study to evaluate the association of CAC with domains of healthy and unhealthy aging in adults aged ≥75 years. METHODS We included 2,290 participants aged ≥75 years free of known coronary heart disease who underwent CAC scoring at study visit 7. We examined the cross-sectional association of CAC = 0, 1-999 (reference), and ≥1000 with seven domains of aging: cognitive function, hearing, ankle-brachial index (ABI), pulse-wave velocity (PWV), forced vital capacity (FVC), physical functioning, and grip strength. RESULTS The mean age was 80.5 ± 4.3 years, 38.6% male, and 77.7% White. 10.3% had CAC = 0 and 19.2% had CAC≥1000. Individuals with CAC = 0 had the lowest while those with CAC≥1000 had the highest proportion with dementia (2% vs 8%), hearing impairment (46% vs 67%), low ABI (3% vs 18%), high PWV (27% vs 41%), reduced FVC (34% vs 42%), impaired grip strength (66% vs 74%), and mean composite abnormal aging score (2.6 vs 3.7). Participants with CAC = 0 were less likely to have abnormal ABI (aOR:0.15, 95%CI:0.07-0.34), high PWV (aOR:0.57, 95%CI:0.41-0.80), and reduced FVC (aOR:0.69, 95%CI:0.50-0.96). Conversely, participants with CAC≥1000 were more likely to have low ABI (aOR:1.74, 95%CI:1.27-2.39), high PWV (aOR:1.52, 95%CI:1.15-2.00), impaired physical functioning (aOR:1.35, 95%CI:1.05-1.73), and impaired grip strength (aOR:1.46, 95%CI:1.08-1.99). CONCLUSIONS Our findings highlight CAC as a simple measure broadly associated with biological aging, with clinical and research implications for estimating the physical and physiological aging trajectory of older individuals.
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Affiliation(s)
- Olufunmilayo H Obisesan
- Department of Medicine, MedStar Union Memorial Hospital, Baltimore, MD, USA; Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Ellen Boakye
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Frances M Wang
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Zeina Dardari
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Omar Dzaye
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Miguel Cainzos-Achirica
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA; Division of Cardiology, Hospital del Mar- Parc de Salut Mar, Barcelona, Spain
| | - Michelle L Meyer
- Department of Emergency Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rebecca Gottesman
- Stroke, Cognition, and Neuroepidemiology Section of the National Institutes of Health, Bethesda, MD, USA
| | - Priya Palta
- Department of Medicine, Columbia University School of Medicine, New York, NY, USA
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | - Frank R Lin
- Johns Hopkins Cochlear Center for Hearing and Public Health, Baltimore, MD, USA
| | - Naresh Punjabi
- Division of Critical Care Medicine, Pulmonology, Sleep Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Khurram Nasir
- Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | - Kunihiro Matsushita
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
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13
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Ameri P, Bertero E, Lombardi M, Porto I, Canepa M, Nohria A, Vergallo R, Lyon AR, López-Fernández T. Ischaemic heart disease in patients with cancer. Eur Heart J 2024; 45:1209-1223. [PMID: 38323638 DOI: 10.1093/eurheartj/ehae047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 12/22/2023] [Accepted: 01/18/2024] [Indexed: 02/08/2024] Open
Abstract
Cardiologists are encountering a growing number of cancer patients with ischaemic heart disease (IHD). Several factors account for the interrelationship between these two conditions, in addition to improving survival rates in the cancer population. Established cardiovascular (CV) risk factors, such as hypercholesterolaemia and obesity, predispose to both IHD and cancer, through specific mechanisms and via low-grade, systemic inflammation. This latter is also fuelled by clonal haematopoiesis of indeterminate potential. Furthermore, experimental work indicates that IHD and cancer can promote one another, and the CV or metabolic toxicity of anticancer therapies can lead to IHD. The connections between IHD and cancer are reinforced by social determinants of health, non-medical factors that modify health outcomes and comprise individual and societal domains, including economic stability, educational and healthcare access and quality, neighbourhood and built environment, and social and community context. Management of IHD in cancer patients is often challenging, due to atypical presentation, increased bleeding and ischaemic risk, and worse outcomes as compared to patients without cancer. The decision to proceed with coronary revascularization and the choice of antithrombotic therapy can be difficult, particularly in patients with chronic coronary syndromes, necessitating multidisciplinary discussion that considers both general guidelines and specific features on a case by case basis. Randomized controlled trial evidence in cancer patients is very limited and there is urgent need for more data to inform clinical practice. Therefore, coexistence of IHD and cancer raises important scientific and practical questions that call for collaborative efforts from the cardio-oncology, cardiology, and oncology communities.
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Affiliation(s)
- Pietro Ameri
- Cardiovascular Disease Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Internal Medicine, University of Genova, Viale Benedetto XV, 6, 16132 Genova, Italy
| | - Edoardo Bertero
- Department of Internal Medicine, University of Genova, Viale Benedetto XV, 6, 16132 Genova, Italy
- Comprehensive Heart Failure Center (CHFC), University Clinic Würzburg, Würzburg, Germany
| | - Marco Lombardi
- Department of Internal Medicine, University of Genova, Viale Benedetto XV, 6, 16132 Genova, Italy
- Department of Cardiovascular Sciences, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica Sacro Cuore, Roma, Italy
| | - Italo Porto
- Cardiovascular Disease Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Internal Medicine, University of Genova, Viale Benedetto XV, 6, 16132 Genova, Italy
| | - Marco Canepa
- Cardiovascular Disease Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Internal Medicine, University of Genova, Viale Benedetto XV, 6, 16132 Genova, Italy
| | - Anju Nohria
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Rocco Vergallo
- Cardiovascular Disease Unit, IRCCS Ospedale Policlinico San Martino, Genova, Italy
- Department of Internal Medicine, University of Genova, Viale Benedetto XV, 6, 16132 Genova, Italy
| | | | - Teresa López-Fernández
- Cardiology Department, La Paz University Hospital, IdiPAZ Research Institute, Madrid, Spain
- Cardiology Department, Quirón Pozuelo University Hospital, Madrid, Spain
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14
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Xu H, Yew MS. Visual Ordinal Coronary Artery Calcium Score from Non-Gated Chest CT Predicts Mortality After Severe Chronic Obstructive Pulmonary Disease Exacerbation. Int J Chron Obstruct Pulmon Dis 2023; 18:3115-3124. [PMID: 38164410 PMCID: PMC10758187 DOI: 10.2147/copd.s437401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 12/15/2023] [Indexed: 01/03/2024] Open
Abstract
Purpose Chronic obstructive pulmonary disease (COPD) patients often undergo chest CT for various indications. Coronary artery calcium (CAC) can be quantified visually on ungated chest CT using an ordinal score that has been shown to correlate well with traditional Agatston CAC scoring. The prognostic role of CAC was studied mainly in stable COPD patients. We aim to study the association between ordinal CAC and mortality amongst patients admitted for acute exacerbation of COPD (AECOPD). Patients and Methods Retrospective study of AECOPD cases with no previous coronary revascularization admitted between 1st January 2016 to 30th June 2017 with a chest CT performed during admission or within 365 days prior. Ordinal CAC scoring (scale of 0-12) was performed by an experienced CT cardiologist blinded to patient data and outcomes. Patient demographics and future clinical events were retrieved from electronic medical records. Results There were 93 patients included (87.1% male, mean age 75 years) with the majority (59.1%) in GOLD Stage III. There were 21 (22.6%) patients with no CAC as well as 39 (41.9%) and 33 (35.5%) with ordinal CAC of 1-3 and 4-12, respectively. There were no significant differences in Charlson Comorbidity Index (CCI) and the proportion of patients with traditional cardiovascular risk factors (namely hypertension, dyslipidaemia, diabetes and smoking status) between the ordinal CAC score groups. Over a median follow-up period of 2.9 (1.1-3.9) years, there were 51 (54.8%) deaths. An ordinal CAC score of 4-12 was the only significant predictor of mortality after multivariate Cox-regression analysis adjustment for age, gender, body mass index, prior exacerbations, FEV1, cardiovascular risk factors and CCI [HR 3.944, (95% confidence interval 1.647-9.433, p = 0.002)]. Conclusion Ordinal CAC measured from a current or recent ungated chest CT is an independent predictor of all-cause mortality in admitted AECOPD patients with no previous coronary revascularization.
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Affiliation(s)
- Huiying Xu
- Department of Respiratory and Critical Care Medicine, Tan Tock Seng Hospital, Singapore, Singapore
| | - Min Sen Yew
- Department of Cardiology, Tan Tock Seng Hospital, Singapore, Singapore
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15
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Kavousi M, Bos MM, Barnes HJ, Lino Cardenas CL, Wong D, Lu H, Hodonsky CJ, Landsmeer LPL, Turner AW, Kho M, Hasbani NR, de Vries PS, Bowden DW, Chopade S, Deelen J, Benavente ED, Guo X, Hofer E, Hwang SJ, Lutz SM, Lyytikäinen LP, Slenders L, Smith AV, Stanislawski MA, van Setten J, Wong Q, Yanek LR, Becker DM, Beekman M, Budoff MJ, Feitosa MF, Finan C, Hilliard AT, Kardia SLR, Kovacic JC, Kral BG, Langefeld CD, Launer LJ, Malik S, Hoesein FAAM, Mokry M, Schmidt R, Smith JA, Taylor KD, Terry JG, van der Grond J, van Meurs J, Vliegenthart R, Xu J, Young KA, Zilhão NR, Zweiker R, Assimes TL, Becker LC, Bos D, Carr JJ, Cupples LA, de Kleijn DPV, de Winther M, den Ruijter HM, Fornage M, Freedman BI, Gudnason V, Hingorani AD, Hokanson JE, Ikram MA, Išgum I, Jacobs DR, Kähönen M, Lange LA, Lehtimäki T, Pasterkamp G, Raitakari OT, Schmidt H, Slagboom PE, Uitterlinden AG, Vernooij MW, Bis JC, Franceschini N, Psaty BM, Post WS, Rotter JI, Björkegren JLM, O'Donnell CJ, Bielak LF, Peyser PA, Malhotra R, van der Laan SW, Miller CL. Multi-ancestry genome-wide study identifies effector genes and druggable pathways for coronary artery calcification. Nat Genet 2023; 55:1651-1664. [PMID: 37770635 PMCID: PMC10601987 DOI: 10.1038/s41588-023-01518-4] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Accepted: 08/29/2023] [Indexed: 09/30/2023]
Abstract
Coronary artery calcification (CAC), a measure of subclinical atherosclerosis, predicts future symptomatic coronary artery disease (CAD). Identifying genetic risk factors for CAC may point to new therapeutic avenues for prevention. Currently, there are only four known risk loci for CAC identified from genome-wide association studies (GWAS) in the general population. Here we conducted the largest multi-ancestry GWAS meta-analysis of CAC to date, which comprised 26,909 individuals of European ancestry and 8,867 individuals of African ancestry. We identified 11 independent risk loci, of which eight were new for CAC and five had not been reported for CAD. These new CAC loci are related to bone mineralization, phosphate catabolism and hormone metabolic pathways. Several new loci harbor candidate causal genes supported by multiple lines of functional evidence and are regulators of smooth muscle cell-mediated calcification ex vivo and in vitro. Together, these findings help refine the genetic architecture of CAC and extend our understanding of the biological and potential druggable pathways underlying CAC.
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Affiliation(s)
- Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
| | - Maxime M Bos
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Hanna J Barnes
- Cardiovascular Research Center, Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Christian L Lino Cardenas
- Cardiovascular Research Center, Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Doris Wong
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Haojie Lu
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Chani J Hodonsky
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Lennart P L Landsmeer
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Adam W Turner
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Minjung Kho
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Graduate School of Data Science, Seoul National University, Seoul, Republic of Korea
| | - Natalie R Hasbani
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Center at Houston, Houston, TX, USA
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Center at Houston, Houston, TX, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Sandesh Chopade
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK
- University College London British Heart Foundation Research Accelerator Centre, London, UK
| | - Joris Deelen
- Biomedical Data Sciences, Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Max Planck Institute for Biology of Aging, Cologne, Germany
| | - Ernest Diez Benavente
- Laboratory of Experimental Cardiology, Division of Heart and Lungs, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Edith Hofer
- Department of Neurology, Clinical Division of Neurogeriatrics, Medical University of Graz, Graz, Austria
- Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria
| | | | - Sharon M Lutz
- Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA, USA
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Lotte Slenders
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Albert V Smith
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Icelandic Heart Association, Kopavogur, Iceland
| | - Maggie A Stanislawski
- Department of Biomedical Informatics, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Jessica van Setten
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Quenna Wong
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Lisa R Yanek
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Diane M Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marian Beekman
- Biomedical Data Sciences, Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Matthew J Budoff
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Mary F Feitosa
- Department of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, MO, USA
| | - Chris Finan
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK
- University College London British Heart Foundation Research Accelerator Centre, London, UK
- Department of Cardiology, Division of Heart and Lungs, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | | | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jason C Kovacic
- Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia
- St Vincent's Clinical School, University of NSW, Sydney, New South Wales, Australia
- The Zena and Michael A. Wiener Cardiovascular Institute, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Brian G Kral
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Carl D Langefeld
- Department of Biostatistical Sciences and Data Science, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Shaista Malik
- Susan Samueli Integrative Health Institute, Department of Medicine, University of California Irvine, Irvine, CA, USA
| | | | - Michal Mokry
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
- Laboratory of Experimental Cardiology, Division of Heart and Lungs, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Reinhold Schmidt
- Department of Neurology, Clinical Division of Neurogeriatrics, Medical University of Graz, Graz, Austria
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - James G Terry
- Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Joyce van Meurs
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Rozemarijn Vliegenthart
- Department of Radiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Jianzhao Xu
- Department of Biochemistry, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Kendra A Young
- Department of Epidemiology, University of Colorado, Anschutz Medical Campus, Denver, CO, USA
| | | | - Robert Zweiker
- Department of Internal Medicine, Division of Cardiology, Medical University of Graz, Graz, Austria
| | - Themistocles L Assimes
- VA Palo Alto Healthcare System, Palo Alto, CA, USA
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Lewis C Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel Bos
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - J Jeffrey Carr
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - L Adrienne Cupples
- Department of Biostatistics, School of Public Health, Boston University, Boston, MA, USA
| | - Dominique P V de Kleijn
- Department of Vascular Surgery, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Menno de Winther
- Department of Medical Biochemistry, Experimental Vascular Biology, Amsterdam Cardiovascular Sciences: Atherosclerosis and Ischemic syndromes, Amsterdam Infection and Immunity: Inflammatory diseases, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Hester M den Ruijter
- Laboratory of Experimental Cardiology, Division of Heart and Lungs, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Myriam Fornage
- Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Barry I Freedman
- Department of Internal Medicine, Wake Forest University Health Sciences, Winston-Salem, NC, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, School of Public Health, University of Iceland, Reykjavik, Iceland
| | - Aroon D Hingorani
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, UK
- University College London British Heart Foundation Research Accelerator Centre, London, UK
| | - John E Hokanson
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Ivana Išgum
- Image Sciences Institute, University Medical Center Utrecht, Utrecht, The Netherlands
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - David R Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Leslie A Lange
- Department of Biomedical Informatics, University of Colorado, Anschutz Medical Campus, Aurora, CO, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Gerard Pasterkamp
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Helena Schmidt
- Gottfried Schatz Research Center (for Cell Signaling, Metabolism and Aging), Medical University of Graz, Graz, Austria
| | - P Eline Slagboom
- Biomedical Data Sciences, Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Meike W Vernooij
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Vascular Surgery, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Departments of Epidemiology, and Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Wendy S Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation (formerly Los Angeles Biomedical Research Institute) at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Johan L M Björkegren
- Department of Genetics and Genomic Sciences, Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York City, NY, USA
- Department of Medicine, Integrated Cardio Metabolic Centre, Karolinska Institutet, Huddinge, Sweden
| | - Christopher J O'Donnell
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Cardiology Section, Department of Medicine, Veterans Affairs Boston Healthcare System, Boston, MA, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Rajeev Malhotra
- Cardiovascular Research Center, Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Sander W van der Laan
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical Genetics, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Clint L Miller
- Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA, USA.
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA.
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16
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Abstract
Patients with chronic kidney disease (CKD) exhibit tremendously elevated risk for cardiovascular disease, particularly ischemic heart disease, due to premature vascular and cardiac aging and accelerated ectopic calcification. The presence of cardiovascular calcification associates with increased risk in patients with CKD. Disturbed mineral homeostasis and diverse comorbidities in these patients drive increased systemic cardiovascular calcification in different manifestations with diverse clinical consequences, like plaque instability, vessel stiffening, and aortic stenosis. This review outlines the heterogeneity in calcification patterning, including mineral type and location and potential implications on clinical outcomes. The advent of therapeutics currently in clinical trials may reduce CKD-associated morbidity. Development of therapeutics for cardiovascular calcification begins with the premise that less mineral is better. While restoring diseased tissues to a noncalcified homeostasis remains the ultimate goal, in some cases, calcific mineral may play a protective role, such as in atherosclerotic plaques. Therefore, developing treatments for ectopic calcification may require a nuanced approach that considers individual patient risk factors. Here, we discuss the most common cardiac and vascular calcification pathologies observed in CKD, how mineral in these tissues affects function, and the potential outcomes and considerations for therapeutic strategies that seek to disrupt the nucleation and growth of mineral. Finally, we discuss future patient-specific considerations for treating cardiac and vascular calcification in patients with CKD-a population in need of anticalcification therapies.
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Affiliation(s)
- Joshua D. Hutcheson
- Department of Biomedical Engineering, Florida International University, Miami, FL (J.D.H.)
| | - Claudia Goettsch
- Department of Internal Medicine I, Division of Cardiology, Medical Faculty, RWTH Aachen University, Germany (C.G.)
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17
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Chen HH, Lo YC, Pan WS, Liu SJ, Yeh TL, Liu LYM. Association between coronary artery disease and incident cancer risk: a systematic review and meta-analysis of cohort studies. PeerJ 2023; 11:e14922. [PMID: 36855430 PMCID: PMC9968460 DOI: 10.7717/peerj.14922] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 01/27/2023] [Indexed: 02/25/2023] Open
Abstract
Objective Coronary artery disease (CAD) and cancer are the two leading causes of death worldwide. Evidence suggests the existence of shared mechanisms for these two diseases. We aimed to conduct a systematic review and meta-analysis to investigateassociation between CAD and incident cancer risk. Methods We searched Cochrane, PubMed, and Embase from inception until October 20, 2021, without language restrictions. Observational cohort studies were used to investigate the association between CAD and incident cancer risk. Using random-effects models, the odds ratio (OR) and 95% confidence interval (CI) were calculated. We utilized subgroup and sensitivity analyses to determine the potential sources of heterogeneity and explore the association between CAD and specific cancers. This study was conducted under a pre-established, registered protocol on PROSPERO (CRD42022302507). Results We initially examined 8,533 articles, and included 14 cohort studies in our review, 11 of which were eligible for meta-analysis. Patients with CAD had significantly higher odds of cancer risk than those without CAD (OR = 1.15, 95% CI = [1.08-1.22], I2 = 66%). Subgroup analysis revealed that the incident cancer risk was significantly higher in both sexes and patients with CAD with or without myocardial infarction. Sensitivity analysis revealed that the risk remained higher in patients with CAD even after >1 year of follow-up (OR = 1.23, 95% CI = [1.08-1.39], I2 = 76%). Regarding the specific outcome, the incident risk for colorectal and lung cancers was significantly higher (OR = 1.06, 95% CI = [1.03-1.10], I2 = 10%, and OR = 1.36, 95% CI = [1.15-1.60], I2 = 90%, respectively) and that for breast cancer was lower (OR = 0.86, 95% CI = [0.77-0.97], I2 = 57%) in patients with CAD than in those without CAD. Conclusion CAD may be associated with incident cancer risk, particularly for lung and colorectal cancers, in men and women as well as patients with or without myocardial infarction. Early detection of new-onset cancer and detailed cancer surveillance programs should be implemented in patients with CAD to reduce cancer-related morbidity and mortality.
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Affiliation(s)
- Hsin-Hao Chen
- Department of Family Medicine, Hsinchu MacKay Memorial Hospital, Hsinchu City, Taiwan
- MacKay Junior College of Medicine, Nursing, and Management, Taipei City, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
| | - Yi-Chi Lo
- Department of Medical Education and Research, Hsinchu MacKay Memorial Hospital, Hsinchu City, Taiwan
| | - Wei-Sheng Pan
- Department of Medical Education and Research, Hsinchu MacKay Memorial Hospital, Hsinchu City, Taiwan
| | - Shu-Jung Liu
- Department of Medical Library, MacKay Memorial Hospital, Tamsui Branch, New Taipei City, Taiwan
| | - Tzu-Lin Yeh
- Department of Family Medicine, Hsinchu MacKay Memorial Hospital, Hsinchu City, Taiwan
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Taiwan
| | - Lawrence Yu-Min Liu
- MacKay Junior College of Medicine, Nursing, and Management, Taipei City, Taiwan
- Department of Medicine, MacKay Medical College, New Taipei City, Taiwan
- Division of Cardiology, Department of Internal Medicine, Hsinchu MacKay Memorial Hospital, Hsinchu City, Taiwan
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18
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Lopes Fernandes S, Ladeiras-Lopes R, Silva M, Silva G, Cruz I, Diaz SO, Barros AS, Saraiva F, Faria R, Almeida J, Fonseca P, Gonçalves H, Oliveira M, Ferreira N, Primo J, Fontes-Carvalho R. Higher coronary artery calcium score is associated with increased risk of atrial fibrillation recurrence after catheter ablation. J Cardiovasc Comput Tomogr 2023; 17:22-27. [PMID: 36372722 DOI: 10.1016/j.jcct.2022.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Revised: 10/04/2022] [Accepted: 10/29/2022] [Indexed: 11/11/2022]
Abstract
BACKGROUND Coronary artery calcium score (CACS) is associated with an increased risk of atrial fibrillation (AF) development, but scarce data are available regarding the impact on AF recurrence. This study aims to assess the impact of CACS on AF recurrence following catheter ablation. METHODS Retrospective study of patients with AF undergoing cardiac computed tomography (CCT) before ablation (2017-2019). Patients with coronary artery disease (CAD), significant valvular heart disease and previous catheter ablation were excluded. A cut-off of CACS ≥ 100 was used according to literature. RESULTS A total of 311 patients were included (median age 57 [48, 64] years, 65% men and 21% with persistent AF). More than half of the patients had a CACS > 0 (52%) and 18% a CACS ≥ 100. Patients with CACS ≥ 100 were older (64 [59, 69] vs 55 [46, 63] years, p < 0.001), had more frequently hypertension (68% vs 42%, p < 0.001) and diabetes mellitus (21% vs 10%, p = 0.020). During a median follow-up of 34 months (12-57 months), 98 patients (32%) had AF recurrence. CACS ≥ 100 was associated with increased risk of AF recurrence (unadjusted Cox regression: hazard ratio [HR] 2.0; 95% confidence interval [CI], 1.3-3.1, p = 0.002). After covariate adjustment, CACS ≥ 100 and persistent AF remained independent predictors of AF recurrence (HR, 1.7; 95% CI, 1.0-2.8, p = 0.039 and HR, 2.0; 95% CI, 1.3-3.2, p = 0.004, respectively). CONCLUSION An opportunistic evaluation of CACS could be an important tool to improve clinical care considering that CACS ≥ 100 was independently associated with a 69% increase in the risk of AF recurrence after first catheter ablation.
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Affiliation(s)
| | - Ricardo Ladeiras-Lopes
- Department of Cardiology, Gaia Hospital Centre, 4434-502 Vila Nova de Gaia, Portugal; Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, 4200-319 Porto, Portugal
| | - Mariana Silva
- Department of Cardiology, Gaia Hospital Centre, 4434-502 Vila Nova de Gaia, Portugal
| | - Gualter Silva
- Department of Cardiology, Gaia Hospital Centre, 4434-502 Vila Nova de Gaia, Portugal
| | - Inês Cruz
- Faculty of Medicine of the University of Porto, 4200-319 Porto, Portugal
| | - Sílvia O Diaz
- Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, 4200-319 Porto, Portugal
| | - António S Barros
- Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, 4200-319 Porto, Portugal
| | - Francisca Saraiva
- Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, 4200-319 Porto, Portugal
| | - Rita Faria
- Department of Cardiology, Gaia Hospital Centre, 4434-502 Vila Nova de Gaia, Portugal
| | - João Almeida
- Department of Cardiology, Gaia Hospital Centre, 4434-502 Vila Nova de Gaia, Portugal
| | - Paulo Fonseca
- Department of Cardiology, Gaia Hospital Centre, 4434-502 Vila Nova de Gaia, Portugal
| | - Helena Gonçalves
- Department of Cardiology, Gaia Hospital Centre, 4434-502 Vila Nova de Gaia, Portugal
| | - Marco Oliveira
- Department of Cardiology, Gaia Hospital Centre, 4434-502 Vila Nova de Gaia, Portugal
| | - Nuno Ferreira
- Department of Cardiology, Gaia Hospital Centre, 4434-502 Vila Nova de Gaia, Portugal
| | - João Primo
- Department of Cardiology, Gaia Hospital Centre, 4434-502 Vila Nova de Gaia, Portugal
| | - Ricardo Fontes-Carvalho
- Department of Cardiology, Gaia Hospital Centre, 4434-502 Vila Nova de Gaia, Portugal; Cardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, 4200-319 Porto, Portugal
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19
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Lopez-Mattei J, Yang EH, Baldassarre LA, Agha A, Blankstein R, Choi AD, Chen MY, Meyersohn N, Daly R, Slim A, Rochitte C, Blaha M, Whelton S, Dzaye O, Dent S, Milgrom S, Ky B, Iliescu C, Mamas MA, Ferencik M. Cardiac computed tomographic imaging in cardio-oncology: An expert consensus document of the Society of Cardiovascular Computed Tomography (SCCT). Endorsed by the International Cardio-Oncology Society (ICOS). J Cardiovasc Comput Tomogr 2023; 17:66-83. [PMID: 36216699 DOI: 10.1016/j.jcct.2022.09.002] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 09/01/2022] [Accepted: 09/12/2022] [Indexed: 11/21/2022]
Abstract
Cardio-Oncology is a rapidly growing sub-specialty of medicine, however, there is very limited guidance on the use of cardiac CT (CCT) in the care of Cardio-Oncology patients. In order to fill in the existing gaps, this Expert Consensus statement comprised of a multidisciplinary collaboration of experts in Cardiology, Radiology, Cardiovascular Multimodality Imaging, Cardio-Oncology, Oncology and Radiation Oncology aims to summarize current evidence for CCT applications in Cardio-Oncology and provide practice recommendations for clinicians.
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Affiliation(s)
| | - Eric H Yang
- UCLA Cardio-Oncology Program, Division of Cardiology, Department of Medicine, University of California at Los Angeles, Los Angeles, CA, USA
| | | | - Ali Agha
- Department of Cardiology, Baylor College of Medicine, Houston, TX, USA
| | - Ron Blankstein
- Division of Cardiology, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Andrew D Choi
- Division of Cardiology and Department of Radiology, The George Washington University School of Medicine, Washington, DC, USA
| | - Marcus Y Chen
- National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nandini Meyersohn
- Division of Cardiovascular Imaging, Department of Radiology, Massachusetts General Hospital, USA
| | - Ryan Daly
- Franciscan Health Indianapolis, Indianapolis, IN, USA
| | | | - Carlos Rochitte
- InCor Heart Institute, University of São Paulo Medical School, São Paulo, Brazil
| | - Michael Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Seamus Whelton
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Omar Dzaye
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD, USA
| | - Susan Dent
- Duke Cancer Institute, Department of Medicine, Duke University, Durham, NC, USA
| | - Sarah Milgrom
- Department of Radiation Oncology, University of Colorado, Boulder, CO, USA
| | - Bonnie Ky
- Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA
| | - Cezar Iliescu
- Heart and Vascular Institute, Lee Health, Fort Myers, FL, USA
| | - Mamas A Mamas
- Keele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, UK
| | - Maros Ferencik
- Knight Cardiovascular Institute, Oregon Health & Science University, Portland, OR, USA
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20
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Kumar P, Bhatia M. Coronary Artery Calcium Data and Reporting System (CAC-DRS): A Primer. J Cardiovasc Imaging 2023; 31:1-17. [PMID: 36693339 PMCID: PMC9880346 DOI: 10.4250/jcvi.2022.0029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 04/23/2022] [Accepted: 06/06/2022] [Indexed: 01/26/2023] Open
Abstract
The Coronary Artery Calcium Data and Reporting System (CAC-DRS) is a standardized reporting method for calcium scoring on computed tomography. CAC-DRS is applied on a per-patient basis and represents the total calcium score with the number of vessels involved. There are 4 risk categories ranging from CAC-DRS 0 to CAC-DRS 3. CAC-DRS also provides risk prediction and treatment recommendations for each category. The main strengths of CAC-DRS include a detailed and meaningful representation of CAC, improved communication between physicians, risk stratification, appropriate treatment recommendations, and uniform data collection, which provides a framework for education and research. The major limitations of CAC-DRS include a few missing components, an overly simple visual approach without any standard reference, and treatment recommendations lacking a basis in clinical trials. This consistent yet straightforward method has the potential to systemize CAC scoring in both gated and non-gated scans.
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Affiliation(s)
- Parveen Kumar
- Department of Radiodiagnosis & Imaging, Fortis Escort Heart Institute, New Delhi, India
| | - Mona Bhatia
- Department of Radiodiagnosis & Imaging, Fortis Escort Heart Institute, New Delhi, India
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21
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Kang J, Kim S, Chang Y, Kim Y, Jung HS, Ryu S. Age-stratified effects of coronary artery calcification on cardiovascular and non-cardiovascular mortality in Korean adults. Eur Heart J Cardiovasc Imaging 2022; 24:17-24. [PMID: 36063434 DOI: 10.1093/ehjci/jeac184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 07/11/2022] [Indexed: 12/24/2022] Open
Abstract
AIMS The role of coronary artery calcium score (CACS) in predicting cardiovascular disease (CVD) and non-CVD mortality in young adults is unclear. We investigated the association of CACS with CVD and non-CVD mortality in young and older individuals. METHODS AND RESULTS CVD-free Koreans (n = 160 821; mean age, 41.4 years; 73.2% young individuals aged <45 years) who underwent cardiac tomography estimation of CACS (69.7% one-time measurement), were followed-up for a median of 5.6 years. The vital status and cause of death were ascertained from the national death records. Sub-distribution hazard ratios (SHR) and 95% confidence intervals (CIs) for cause-specific mortality were estimated using the Fine and Gray proportional hazards models. Overall, a higher CACS was strongly associated with an increased risk of CVD mortality. Among young individuals, multivariable-adjusted SHR (95% CIs) for CVD mortality comparing a CACS of 1-100, 101-300, and >300 to 0 CACS were 5.67 (2.33-13.78), 22.34 (5.72-87.19), and 74.1 (18.98-239.3), respectively, and among older individuals, corresponding SHR were 1.51 (0.60-3.84), 8.57 (3.05-24.06), and 6.41 (1.98-20.74). The addition of CACS to Framingham risk score significantly but modestly improved risk prediction for CVD mortality in young individuals. Conversely, CACS was significantly associated with non-CVD mortality only in older individuals. CONCLUSIONS Strong associations of CACS with CVD mortality, but not non-CVD mortality, were observed in young individuals, beginning in the low CACS category. Our findings reaffirm the need for early intervention for young adults even with low CACS to reduce CVD mortality.
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Affiliation(s)
- Jeonggyu Kang
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Seolhye Kim
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Yoosoo Chang
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.,Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Samsung Main Building B2, 250 Taepyung-ro 2ga, Jung-gu 04514, Republic of Korea.,Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul 06355, Republic of Korea
| | - Yejin Kim
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Hyun-Suk Jung
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea
| | - Seungho Ryu
- Center for Cohort Studies, Total Healthcare Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul 04514, Republic of Korea.,Department of Occupational and Environmental Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Samsung Main Building B2, 250 Taepyung-ro 2ga, Jung-gu 04514, Republic of Korea.,Department of Clinical Research Design & Evaluation, SAIHST, Sungkyunkwan University, Seoul 06355, Republic of Korea
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22
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Yu J, Qian L, Sun W, Nie Z, Zheng D, Han P, Shi H, Zheng C, Yang F. Automated total and vessel-specific coronary artery calcium (CAC) quantification on chest CT: direct comparison with CAC scoring on non-contrast cardiac CT. BMC Med Imaging 2022; 22:177. [PMID: 36241978 PMCID: PMC9563469 DOI: 10.1186/s12880-022-00907-1] [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: 06/22/2022] [Accepted: 10/04/2022] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND This study aimed to evaluate the artificial intelligence (AI)-based coronary artery calcium (CAC) quantification and regional distribution of CAC on non-gated chest CT, using standard electrocardiograph (ECG)-gated CAC scoring as the reference. METHODS In this retrospective study, a total of 405 patients underwent non-gated chest CT and standard ECG-gated cardiac CT. An AI-based algorithm was used for automated CAC scoring on chest CT, and Agatston score on cardiac CT was manually quantified. Bland-Altman plots were used to evaluate the agreement of absolute Agatston score between the two scans at the patient and vessel levels. Linearly weighted kappa (κ) was calculated to assess the reliability of AI-based CAC risk categorization and the number of involved vessels on chest CT. RESULTS The AI-based algorithm showed moderate reliability for the number of involved vessels in comparison to measures on cardiac CT (κ = 0.75, 95% CI 0.70-0.79, P < 0.001) and an assignment agreement of 76%. Considerable coronary arteries with CAC were not identified with a per-vessel false-negative rate of 59.3%, 17.8%, 34.9%, and 34.7% for LM, LAD, CX, and RCA on chest CT. The leading causes for false negatives of LM were motion artifact (56.3%, 18/32) and segmentation error (43.8%, 14/32). The motion artifact was almost the only cause for false negatives of LAD (96.6%, 28/29), CX (96.7%, 29/30), and RCA (100%, 34/34). Absolute Agatston scores on chest CT were underestimated either for the patient and individual vessels except for LAD (median difference: - 12.5, - 11.3, - 5.6, - 18.6 for total, LM, CX, and RCA, all P < 0.01; - 2.5 for LAD, P = 0.18). AI-based total Agatston score yielded good reliability for risk categorization (weighted κ 0.86, P < 0.001) and an assignment agreement of 86.7% on chest CT, with a per-patient false-negative rate of 15.2% (28/184) and false-positive rate of 0.5% (1/221) respectively. CONCLUSIONS AI-based per-patient CAC quantification on non-gated chest CT achieved a good agreement with dedicated ECG-gated CAC scoring overall and highly reliable CVD risk categorization, despite a slight but significant underestimation. However, it is challenging to evaluate the regional distribution of CAC without ECG-synchronization.
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Affiliation(s)
- Jie Yu
- grid.412839.50000 0004 1771 3250Department of Radiology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, 1277 Jiefang Ave., Wuhan, 430022 Hubei Province China ,grid.412839.50000 0004 1771 3250Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022 Hubei Province China
| | - Lijuan Qian
- grid.412839.50000 0004 1771 3250Department of Radiology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, 1277 Jiefang Ave., Wuhan, 430022 Hubei Province China ,grid.412839.50000 0004 1771 3250Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022 Hubei Province China
| | - Wengang Sun
- grid.412839.50000 0004 1771 3250Department of Radiology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, 1277 Jiefang Ave., Wuhan, 430022 Hubei Province China ,grid.412839.50000 0004 1771 3250Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022 Hubei Province China
| | - Zhuang Nie
- grid.412839.50000 0004 1771 3250Department of Radiology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, 1277 Jiefang Ave., Wuhan, 430022 Hubei Province China ,grid.412839.50000 0004 1771 3250Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022 Hubei Province China
| | - DanDan Zheng
- ShuKun (BeiJing) Technology Co. Ltd., Jinhui Bd, Qiyang Rd, Beijing, 100000 China
| | - Ping Han
- grid.412839.50000 0004 1771 3250Department of Radiology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, 1277 Jiefang Ave., Wuhan, 430022 Hubei Province China ,grid.412839.50000 0004 1771 3250Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022 Hubei Province China
| | - Heshui Shi
- grid.412839.50000 0004 1771 3250Department of Radiology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, 1277 Jiefang Ave., Wuhan, 430022 Hubei Province China ,grid.412839.50000 0004 1771 3250Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022 Hubei Province China
| | - Chuansheng Zheng
- grid.412839.50000 0004 1771 3250Department of Radiology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, 1277 Jiefang Ave., Wuhan, 430022 Hubei Province China ,grid.412839.50000 0004 1771 3250Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022 Hubei Province China
| | - Fan Yang
- grid.412839.50000 0004 1771 3250Department of Radiology, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, 1277 Jiefang Ave., Wuhan, 430022 Hubei Province China ,grid.412839.50000 0004 1771 3250Hubei Province Key Laboratory of Molecular Imaging, Wuhan, 430022 Hubei Province China
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Bhatnagar R, Dixit NM, Yang EH, Sallam T. Cancer therapy's impact on lipid metabolism: Mechanisms and future avenues. Front Cardiovasc Med 2022; 9:925816. [PMID: 36017084 PMCID: PMC9396263 DOI: 10.3389/fcvm.2022.925816] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 07/22/2022] [Indexed: 11/16/2022] Open
Abstract
Atherosclerotic cardiovascular disease is a growing threat among cancer patients. Not surprisingly, cancer-targeting therapies have been linked to metabolic dysregulation including changes in local and systemic lipid metabolism. Thus, tumor development and cancer therapeutics are intimately linked to cholesterol metabolism and may be a driver of increased cardiovascular morbidity and mortality in this population. Chemotherapeutic agents affect lipid metabolism through diverse mechanisms. In this review, we highlight the mechanistic and clinical evidence linking commonly used cytotoxic therapies with cholesterol metabolism and potential opportunities to limit atherosclerotic risk in this patient population. Better understanding of the link between atherosclerosis, cancer therapy, and cholesterol metabolism may inform optimal lipid therapy for cancer patients and mitigate cardiovascular disease burden.
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Affiliation(s)
- Roshni Bhatnagar
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Neal M. Dixit
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Eric H. Yang
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
- UCLA Cardio-Oncology Program, Division of Cardiology, Department of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
| | - Tamer Sallam
- Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
- Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
- Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, United States
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24
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Yun HR, Joo YS, Kim HW, Park JT, Chang TI, Son NH, Yoo TH, Kang SW, Sung S, Lee KB, Lee J, Oh KH, Han SH. Coronary Artery Calcification Score and the Progression of Chronic Kidney Disease. J Am Soc Nephrol 2022; 33:1590-1601. [PMID: 35654602 PMCID: PMC9342644 DOI: 10.1681/asn.2022010080] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 05/07/2022] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND An elevated coronary artery calcification score (CACS) is associated with increased cardiovascular disease risk in patients with CKD. However, the relationship between CACS and CKD progression has not been elucidated. METHODS We studied 1936 participants with CKD (stages G1-G5 without kidney replacement therapy) enrolled in the KoreaN Cohort Study for Outcome in Patients With CKD. The main predictor was Agatston CACS categories at baseline (0 AU, 1-100 AU, and >100 AU). The primary outcome was CKD progression, defined as a ≥50% decline in eGFR or the onset of kidney failure with replacement therapy. RESULTS During 8130 person-years of follow-up, the primary outcome occurred in 584 (30.2%) patients. In the adjusted cause-specific hazard model, CACS of 1-100 AU (hazard ratio [HR], 1.29; 95% confidence interval [CI], 1.04 to 1.61) and CACS >100 AU (HR, 1.42; 95% CI, 1.10 to 1.82) were associated with a significantly higher risk of the primary outcome. The HR associated with per 1-SD log of CACS was 1.13 (95% CI, 1.03 to 1.24). When nonfatal cardiovascular events were treated as a time-varying covariate, CACS of 1-100 AU (HR, 1.31; 95% CI, 1.07 to 1.60) and CACS >100 AU (HR, 1.46; 95% CI, 1.16 to 1.85) were also associated with a higher risk of CKD progression. The association was stronger in older patients, in those with type 2 diabetes, and in those not using antiplatelet drugs. Furthermore, patients with higher CACS had a significantly larger eGFR decline rate. CONCLUSION Our findings suggest that a high CACS is associated with significantly increased risk of adverse kidney outcomes and CKD progression.
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Affiliation(s)
- Hae-Ryong Yun
- Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Young Su Joo
- Department of Internal Medicine, Yongin Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea
| | - Hyung Woo Kim
- Department of Internal Medicine, College of Medicine, Institute of Kidney Disease Research, Yonsei University, Seoul, Republic of Korea
| | - Jung Tak Park
- Department of Internal Medicine, College of Medicine, Institute of Kidney Disease Research, Yonsei University, Seoul, Republic of Korea
| | - Tae Ik Chang
- Department of Internal Medicine, National Health Insurance Service Medical Center, Ilsan Hospital, Goyang, Gyeonggi-do, Republic of Korea
| | - Nak-Hoon Son
- Department of Statistics, Keimyung University, Daegu, South Korea
| | - Tae-Hyun Yoo
- Department of Internal Medicine, College of Medicine, Institute of Kidney Disease Research, Yonsei University, Seoul, Republic of Korea
| | - Shin-Wook Kang
- Department of Internal Medicine, College of Medicine, Institute of Kidney Disease Research, Yonsei University, Seoul, Republic of Korea
- Department of Internal Medicine, College of Medicine, Severance Biomedical Science Institute, Brain Korea 21 PLUS, Yonsei University, Seoul, Republic of Korea
| | - Suah Sung
- Department of Internal Medicine, Eulji Medical Center, Eulji University, Seoul, Republic of Korea
| | - Kyu-Beck Lee
- Department of Internal Medicine, Kangbuk Samsung Medical Center, Sungkyunkwan University, Seoul, Republic of Korea
| | - Joongyub Lee
- Department of Internal Medicine, Inje University, Pusan Paik Hospital, Busan, Republic of Korea
| | - Kook-Hwan Oh
- Medical Research Collaborating Center, Seoul National University Hospital and Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seung Hyeok Han
- Department of Internal Medicine, College of Medicine, Institute of Kidney Disease Research, Yonsei University, Seoul, Republic of Korea
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Coronary Artery Calcium Association With Diseases. JACC Cardiovasc Imaging 2022; 15:1271-1273. [DOI: 10.1016/j.jcmg.2022.04.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 04/11/2022] [Indexed: 11/23/2022]
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Relation of Progression of Coronary Artery Calcium to Dementia (from the Multi-Ethnic Study of Atherosclerosis). Am J Cardiol 2022; 171:69-74. [PMID: 35287946 DOI: 10.1016/j.amjcard.2022.01.061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Revised: 01/23/2022] [Accepted: 01/26/2022] [Indexed: 11/24/2022]
Abstract
Baseline coronary artery calcification has been shown to be associated with dementia. However, the value of coronary artery calcium (CAC) progression in the prediction of dementia remains unclear. In this study, we examined the association between CAC progression and dementia in the Multi-Ethnic Study of Atherosclerosis. The Multi-Ethnic Study of Atherosclerosis is a prospective study consisting of 6,814 participants 45 to 84 years of age, free of overt cardiovascular disease at baseline. A total of 5,570 subjects had baseline and follow-up CAC scans approximately 2.5 years apart and were included this analysis. A total of 4,173 of these participants completed cognitive testing with the Cognitive Abilities Screening Instrument (CASI) approximately 10 years after the baseline CAC scan. Dementia diagnoses were identified using International Classification of Diseases codes from hospitalizations, death certificates, and medications used to treat dementia. The absolute change between baseline and follow-up CAC was used to assess CAC progression. Cox proportional hazards and multivariable linear regression models were used to examine the association of CAC progression with incident dementia and with CASI score. Over a median follow-up of 13.2 (interquartile range: 11.2 to 15.3) years, 350 participants developed incident dementia. CAC progression showed no association with dementia risk after adjustment for age, gender, race/ethnicity, vascular risk factors, and baseline CAC score. There was no association of CAC progression with CASI score in any adjusted model. In conclusion, progression of CAC over approximately 2.5 years was not associated with increased risk of dementia after adjustment for demographic variables, vascular risk factors, and baseline CAC.
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Ferket BS, Hunink MM, Masharani U, Max W, Yeboah J, Burke GL, Fleischmann KE. Lifetime Cardiovascular Disease Risk by Coronary Artery Calcium Score in Individuals With and Without Diabetes: An Analysis From the Multi-Ethnic Study of Atherosclerosis. Diabetes Care 2022; 45:975-982. [PMID: 35168253 PMCID: PMC9114718 DOI: 10.2337/dc21-1607] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Accepted: 01/24/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To assess lifetime cardiovascular disease (CVD) risk by coronary artery calcium (CAC) score in individuals with diabetes from the Multi-Ethnic Study of Atherosclerosis (MESA) and compare risk with that in individuals without diabetes. RESEARCH DESIGN AND METHODS We developed a microsimulation model with well, diabetes, post-CVD, and death health states using multivariable time-dependent Cox regression with age as time scale. We initially used 10-year follow-up data of 6,769 MESA participants, including coronary heart disease (CHD) (n = 272), heart failure (n = 201), stroke (n = 186), and competing death (n = 619) and assessed predictive validity at 15 years. We externally validated the model in matched National Health and Nutrition Examination Survey (NHANES) participants. Subsequently, we predicted CVD risk until age 100 years by diabetes, 10-year pooled cohort equations risk, and CAC score category (0, 1-100, or 100+). RESULTS The model showed good calibration and discriminative performance at 15 years, with discrimination indices 0.71-0.78 across outcomes. In the NHANES cohort, predicted 15-year mortality risk corresponded well with Kaplan-Meier risk, especially for those with diabetes: 29.6% (95% CI 24.9-34.8) vs. 32.4% (95% CI 27.2-37.2), respectively. Diabetes increased lifetime CVD risk, similar to shifting one CAC category upward (from 0 to 1-100 or from 1-100 to 100+). Patients with diabetes and CAC score of 0 had a lifetime CVD risk that overlapped with that of individuals without diabetes who were at low 10-year pooled cohort equations risk (<7.5%). CONCLUSIONS Patients with diabetes carry a spectrum of CVD risk. CAC scoring may improve decisions for preventive interventions for patients with diabetes by better delineating lifetime CVD risk.
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Affiliation(s)
- Bart S. Ferket
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY
| | - M.G. Myriam Hunink
- Departments of Epidemiology and Radiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Center for Health Decision Sciences, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Umesh Masharani
- Department of Medicine, University of California San Francisco, San Francisco, CA
| | - Wendy Max
- Institute for Health & Aging and Department of Social and Behavioral Sciences, University of California San Francisco, San Francisco, CA
| | - Joseph Yeboah
- Heart and Vascular Center of Excellence, Wake Forest Baptist Health, Winston Salem, NC
| | - Gregory L. Burke
- Division of Public Health, Wake Forest School of Medicine, Winston Salem, NC
| | - Kirsten E. Fleischmann
- Division of Cardiology, Department of Medicine, University of California San Francisco, San Francisco, CA
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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: 3084] [Impact Index Per Article: 1028.0] [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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Saydam CD. Subclinical cardiovascular disease and utility of coronary artery calcium score. IJC HEART & VASCULATURE 2021; 37:100909. [PMID: 34825047 PMCID: PMC8604741 DOI: 10.1016/j.ijcha.2021.100909] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2021] [Revised: 10/14/2021] [Accepted: 10/25/2021] [Indexed: 11/21/2022]
Abstract
ASCVD are the leading causes of mortality and morbidity among Globe. Evaluation of patients' comprehensive and personalized risk provides risk management strategies and preventive interventions to achieve gain for patients. Framingham Risk Score (FRS) and Systemic Coronary Risk Evaluation Score (SCORE) are two well studied risk scoring models, however, can miss some (20-35%) of future cardiovascular events. To obtain more accurate risk assessment recalibrating risk models through utilizing novel risk markers have been studied in last 3 decades and both ESC and AHA recommends assessing Family History, hs-CRP, CACS, ABI, and CIMT. Subclinical Cardiovascular Disease (SCVD) has been conceptually developed for investigating gradually progressing asymptomatic development of atherosclerosis and among these novel risk markers it has been well established by literature that CACS having highest improvement in risk assessment. This review study mainly selectively discussing studies with CACS measurement. A CACS = 0 can down-stratify risk of patients otherwise treated or treatment eligible before test and can reduce unnecessary interventions and cost, whereas CACS ≥ 100 is equivalent to statin treatment threshold of ≥ 7.5% risk level otherwise statin ineligible before test. Since inflammation, insulin resistance, oxidative stress, dyslipidemia and ongoing endothelial damage due to hypertension could lead to CAC, ASCVD linked with comorbidities. Recent cohort studies have shown a CACS 100-300 as a sign of increased cancer risk. Physical activity, dietary factors, cigarette use, alcohol consumption, metabolic health, family history of CHD, aging, exposures of neighborhood environment and non-cardiovascular comorbidities can determine CACs changes.
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Wu PY, Lee SY, Chang KV, Chao CT, Huang JW. Gender-Related Differences in Chronic Kidney Disease-Associated Vascular Calcification Risk and Potential Risk Mediators: A Scoping Review. Healthcare (Basel) 2021; 9:979. [PMID: 34442116 PMCID: PMC8394860 DOI: 10.3390/healthcare9080979] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/26/2021] [Accepted: 07/28/2021] [Indexed: 12/13/2022] Open
Abstract
Vascular calcification (VC) involves the deposition of calcium apatite in vascular intima or media. Individuals of advanced age, having diabetes mellitus or chronic kidney disease (CKD) are particularly at risk. The pathogenesis of CKD-associated VC evolves considerably. The core driver is the phenotypic change involving vascular wall constituent cells toward manifestations similar to that undergone by osteoblasts. Gender-related differences are observed regarding the expressions of osteogenesis-regulating effectors, and presumably the prevalence/risk of CKD-associated VC exhibits gender-related differences as well. Despite the wealth of data focusing on gender-related differences in the risk of atherosclerosis, few report whether gender modifies the risk of VC, especially CKD-associated cases. We systematically identified studies of CKD-associated VC or its regulators/modifiers reporting data about gender distributions, and extracted results from 167 articles. A significantly higher risk of CKD-associated VC was observed in males among the majority of original investigations. However, substantial heterogeneity exists, since multiple large-scale studies yielded neutral findings. Differences in gender-related VC risk may result from variations in VC assessment methods, the anatomical segments of interest, study sample size, and even the ethnic origins of participants. From a biological perspective, plausible mediators of gender-related VC differences include body composition discrepancies, alterations involving lipid profiles, inflammatory severity, diversities in matrix Gla protein (MGP), soluble Klotho, vitamin D, sclerostin, parathyroid hormone (PTH), fibroblast growth factor-23 (FGF-23), and osteoprotegerin levels. Based on our findings, it may be inappropriate to monotonously assume that male patients with CKD are at risk of VC compared to females, and we should consider more background in context before result interpretation.
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Affiliation(s)
- Patrick Yihong Wu
- School of Medicine, National Taiwan University College of Medicine, Taipei 100233, Taiwan;
| | - Szu-Ying Lee
- Nephrology Division, Department of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Yunlin County 640, Taiwan; (S.-Y.L.); (J.-W.H.)
| | - Ke-Vin Chang
- Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital BeiHu Branch, Taipei 10845, Taiwan;
| | - Chia-Ter Chao
- Graduate Institute of Toxicology, National Taiwan University College of Medicine, Taipei 100233, Taiwan
- Nephrology Division, Department of Internal Medicine, National Taiwan University College of Medicine, Taipei 100233, Taiwan
- Nephrology Division, Department of Internal Medicine, National Taiwan University Hospital BeiHu Branch, Taipei 10845, Taiwan
| | - Jenq-Wen Huang
- Nephrology Division, Department of Internal Medicine, National Taiwan University Hospital Yunlin Branch, Yunlin County 640, Taiwan; (S.-Y.L.); (J.-W.H.)
- Nephrology Division, Department of Internal Medicine, National Taiwan University College of Medicine, Taipei 100233, Taiwan
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Association between coronary artery calcification and cognitive function in a Chinese community-based population. JOURNAL OF GERIATRIC CARDIOLOGY : JGC 2021; 18:514-522. [PMID: 34404988 PMCID: PMC8352769 DOI: 10.11909/j.issn.1671-5411.2021.07.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Background Coronary atherosclerosis and cognitive impairment are both age-related diseases, with similar risk factors. Coronary artery calcium (CAC), a marker of coronary atherosclerosis, may play a role in early detection of individuals prone to cognitive decline. This study aimed to investigate the relationship between CAC and cognitive function, and the capability of CAC to identify participants with a high risk of dementia in a Chinese community-based population. Methods A total of 1332 participants, aged 40−80 years and free of dementia from a community located in Beijing were included. All participants completed neurocognitive questionnaires and noncontrast CT examinations. Cognitive performance tests (including verbal memory, semantic fluency, executive function, and global cognitive function tests), the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CIDE) risk score, and the CAC score (CACS) were evaluated by questionnaires and CT. A CAIDE score ≥ 10 was considered to indicate a high risk of dementia in late-life. Participants were divided into three groups according to CACS (0, 1−399, ≥ 400). Results After adjusting for risk factors, CACS was significantly associated with verbal memory (r = −0.083, P = 0.003) and global cognitive function (r = −0.070, P = 0.012). The prevalence of a high risk of dementia in the subgroups of CACS = 0, 1−399, and ≥ 400 was 4.67%, 13.66%, and 24.79%, respectively (P < 0.001). Individuals with CACS ≥ 400 had a higher risk of CAIDE score ≥ 10 [OR = 2.30 (1.56, 4.56), P = 0.014] than those with CACS = 0. The receiver-operating characteristic curves showed that the capability of CACS to identify participants with a high risk of dementia was moderate (AUC = 0.70, 95% CI: 0.67−0.72,P < 0.001).
Conclusions CAC, a marker of subclinical atherosclerosis, was significantly associated with cognitive performance in verbal memory and global cognitive function. CAC had a moderate capability to identify participants with a high risk of dementia, independent of age, education, and other risk factors.
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32
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Johansen MC, Blaha MJ. Coronary Artery Calcium: A Risk Factor for Brain Aging? Circ Cardiovasc Imaging 2021; 14:e013062. [PMID: 34256575 DOI: 10.1161/circimaging.121.013062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Michelle C Johansen
- Cerebrovascular Division, Department of Neurology, Johns Hopkins University, Baltimore, MD (M.C.J.).,Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD (M.C.J., M.J.B.)
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, MD (M.C.J., M.J.B.)
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Suzuki H, Davis-Plourde K, Beiser A, Kunimura A, Miura K, DeCarli C, Maillard P, Mitchell GF, Vasan RS, Seshadri S, Fujiyoshi A. Coronary Artery Calcium Assessed Years Before Was Positively Associated With Subtle White Matter Injury of the Brain in Asymptomatic Middle-Aged Men: The Framingham Heart Study. Circ Cardiovasc Imaging 2021; 14:e011753. [PMID: 34256573 PMCID: PMC8323993 DOI: 10.1161/circimaging.120.011753] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
BACKGROUND Using magnetic resonance diffusion tensor imaging, we previously showed a cross-sectional association between carotid-femoral pulse wave velocity, a measure of aortic stiffness, and subtle white matter injury in clinically asymptomatic middle-age adults. While coronary artery calcium (CAC) is a robust measure of atherosclerosis, and a predictor of stroke and dementia, whether it predicts diffusion tensor imaging-based subtle white matter injury in the brain remains unknown. METHODS In FHS (Framingham Heart Study), an observational study, third-generation participants were assessed for CAC (2002-2005) and brain magnetic resonance imaging (2009-2014). Outcomes were diffusion tensor imaging-based measures; free water, fractional anisotropy, and peak width of mean diffusivity. After excluding the participants with neurological conditions and missing covariates, we categorized participants into 3 groups according to CAC score (0, 0 < to 100, and >100) and calculated a linear trend across the CAC groups. In secondary analyses treating CAC score as continuous, we computed slope of the outcomes per 20 to 80th percentiles higher log-transformed CAC score using linear regression. RESULTS In a total of 1052 individuals analyzed (mean age 45.4 years, 45.4% women), 71.6%, 22.4%, and 6.0% had CAC score of 0, 0 < to 100, and >100, respectively. We observed a significant linear trend of fractional anisotropy, but not other measures, across the CAC groups after multivariable adjustment. In the secondary analyses, CAC was associated with lower fractional anisotropy in men but not in women. CONCLUSIONS CAC may be a promising tool to predict prevalent subtle white matter injury of the brain in asymptomatic middle-aged men.
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Affiliation(s)
- Harumitsu Suzuki
- Department of Hygiene, Wakayama Medical University, Wakayama, Japan
| | - Kendra Davis-Plourde
- The Framingham Heart Study, Framingham, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Massachusetts
| | - Alexa Beiser
- The Framingham Heart Study, Framingham, Massachusetts
- Department of Biostatistics, Boston University School of Public Health, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
| | | | - Katsuyuki Miura
- Department of Public Health, Shiga University of Medical Science, Shiga, Japan
- NCD Epidemiology Research Center, Shiga, Japan
| | - Charles DeCarli
- Department of Neurology and Center for Neuroscience, University of California Davis, Davis, California
| | - Pauline Maillard
- Department of Neurology and Center for Neuroscience, University of California Davis, Davis, California
| | | | - Ramachandran S. Vasan
- The Framingham Heart Study, Framingham, Massachusetts
- Section of Cardiovascular Medicine, Boston University School of Medicine, Massachusetts
- Sections of Preventive Medicine and Epidemiology, Boston University School of Medicine, Massachusetts
- Department of Epidemiology, Boston University School of Public Health, Massachusetts
| | - Sudha Seshadri
- The Framingham Heart Study, Framingham, Massachusetts
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts
- Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio
| | - Akira Fujiyoshi
- Department of Hygiene, Wakayama Medical University, Wakayama, Japan
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Luo S, Qiu XM, Zeng XJ, Zhang DY, Wan B, Li X, Tian RH, Wang JT, Wang MY, Zhu J, Zhang C, Yang R, Chen F, Liang Y, Fan B, Jiang HJ, Wang XM, Chen W, Xu K, Gao JB, Du C, Zhang LN, Yang Y, Jia SJ, Ren H, Zu ZY, Xu PP, Zhong J, Yang YT, Zhou CS, Zhang W, Liu XX, Zhang QR, Xia F, Qi L, Lu MJ, Zhang LJ, Liu YX, Lu GM. Coronary artery calcification and risk of mortality and adverse outcomes in patients with COVID-19: a Chinese multicenter retrospective cohort study. ACTA ACUST UNITED AC 2021; 5:20-28. [PMID: 34222797 PMCID: PMC8237549 DOI: 10.1007/s42058-021-00072-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 05/02/2021] [Accepted: 06/04/2021] [Indexed: 01/08/2023]
Abstract
Background Coronary artery calcification (CAC) is an independent risk factor of major adverse cardiovascular events; however, the impact of CAC on in-hospital death and adverse clinical outcomes in patients with coronavirus disease 2019 (COVID-19) remains unclear. Objective To explore the association between CAC and in-hospital mortality and adverse events in patients with COVID-19. Methods This multicenter retrospective cohort study enrolled 2067 laboratory-confirmed COVID-19 patients with definitive clinical outcomes (death or discharge) admitted from 22 tertiary hospitals in China between January 3, 2020 and April 2, 2020. Demographic, clinical, laboratory results, chest CT findings, and CAC on admission were collected. The primary outcome was in-hospital death and the secondary outcome was composed of in-hospital death, admission to intensive care unit (ICU), and requiring mechanical ventilation. Multivariable Cox regression analysis and Kaplan–Meier plots were used to explore the association between CAC and in-hospital death and adverse clinical outcomes. Results The mean age was 50 years (SD,16) and 1097 (53.1%) were male. A total of 177 patients showed high CAC level, and compared with patients with low CAC, these patients were older (mean age: 49 vs. 69 years, P < 0.001) and more likely to be male (52.0% vs. 65.0%, P = 0.001). Comorbidities, including cardiovascular disease (CVD) ([33.3%, 59/177] vs. [4.7%, 89/1890], P < 0.001), presented more often among patients with high CAC, compared with patients with low CAC. As for laboratory results, patients with high CAC had higher rates of increased D-dimer, LDH, as well as CK-MB (all P < 0.05). The mean CT severity score in high CAC group was also higher than low CAC group (12.6 vs. 11.1, P = 0.005). In multivariable Cox regression model, patients with high CAC were at a higher risk of in-hospital death (hazard ratio [HR], 1.731; 95% CI 1.010–2.971, P = 0.046) and adverse clinical outcomes (HR, 1.611; 95% CL 1.087–2.387, P = 0.018). Conclusion High CAC is a risk factor associated with in-hospital death and adverse clinical outcomes in patients with confirmed COVID-19, which highlights the importance of calcium load testing for hospitalized COVID-19 patients and calls for attention to patients with high CAC. Supplementary Information The online version contains supplementary material available at 10.1007/s42058-021-00072-4.
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Affiliation(s)
- Song Luo
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Xiao Ming Qiu
- Department of Radiology, Huangshi Central Hospital, Affiliated Hospital of Hubei Polytechnic University, Edong Healthcare Group, Hubei, People's Republic of China
| | - Xian Jun Zeng
- Department of Imaging, the First Affiliated Hospital of Nanchang University, Nanchang, 330006 People's Republic of China
| | - Dong You Zhang
- Department of Radiology, Wuhan First Hospital, Wuhan, 430000 Hubei People's Republic of China
| | - Bing Wan
- Department of Medical Imaging, Jingzhou Central Hospital, The Second Clinical Medical College, Yangtze University, Jingzhou, Hubei People's Republic of China
| | - Xiao Li
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China.,Department of Radiology, Wuhan Huoshenshan Hospital, Wuhan, 430100 Hubei People's Republic of China
| | - Rong Hua Tian
- Department of Medical Imaging, Xiaogan Central Hospital of Wuhan University of Science and Technology, Xiaogan, Hubei People's Republic of China
| | - Jiang Tao Wang
- Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital Of Hubei University of Arts and Science, Xiangyang, 441000 Hubei People's Republic of China
| | - Mei Yun Wang
- Department of Radiology, Henan Provincial People's Hospital and the People's Hospital of Zhengzhou University, Henan, People's Republic of China
| | - Juan Zhu
- Department of Medical Imaging, the Affiliated Anqing Hospital of Anhui Medical University, Anqing, Anhui People's Republic of China
| | - Can Zhang
- Department of Radiology, Yichang Central People's Hospital, Yichang, Hubei People's Republic of China
| | - Ran Yang
- Department of Radiology, Chongqing Sanxia Central Hospital, Chongqing, People's Republic of China
| | - Feng Chen
- Department of Radiology, Hainan General Hospital, Haikou, Hainan People's Republic of China
| | - Yi Liang
- Department of Radiology, General Hospital of the Yangtze River Shipping, Wuhan, Hubei People's Republic of China
| | - Bin Fan
- Department of Radiology, Huanggang Central Hospital, Huangzhou District, No. 11, Kaopeng Road, Huanggang, Hubei People's Republic of China
| | - Hui Jie Jiang
- Department of Radiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150000 Heilongjiang People's Republic of China
| | - Xi Ming Wang
- Department of Medical Imaging, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong People's Republic of China
| | - Wei Chen
- Department of Medical Imaging, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, Zhejiang People's Republic of China
| | - Kai Xu
- Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu People's Republic of China
| | - Jian Bo Gao
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China
| | - Chao Du
- Department of Radiology, Nanjing Second Hospital, Nanjing, 210000 Jiangsu People's Republic of China
| | - Li Na Zhang
- Department of Radiology, The First Hospital of China Medical University, Shenyang, Liaoning, People's Republic of China
| | - Yi Yang
- Department of Radiology, Wuhan First Hospital, Wuhan, 430000 Hubei People's Republic of China
| | - Shi Jun Jia
- Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital Of Hubei University of Arts and Science, Xiangyang, 441000 Hubei People's Republic of China
| | - Hao Ren
- Department of Radiology, Xiangyang Central Hospital, Affiliated Hospital Of Hubei University of Arts and Science, Xiangyang, 441000 Hubei People's Republic of China
| | - Zi Yue Zu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Peng Peng Xu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Jing Zhong
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Yu Ting Yang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Chang Sheng Zhou
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Wei Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Xiao Xue Liu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Qi Rui Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Fei Xia
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Li Qi
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Meng Jie Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Yu Xiu Liu
- Department of Medical Statistics, Jinling Hospital, School of Public Health of Southern Medical University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Xuanwu District, Nanjing, 210002 Jiangsu Province People's Republic of China
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Dzaye O, Berning P, Dardari ZA, Mortensen MB, Marshall CH, Nasir K, Budoff MJ, Blumenthal RS, Whelton SP, Blaha MJ. Coronary artery calcium is associated with increased risk for lung and colorectal cancer in men and women: the Multi-Ethnic Study of Atherosclerosis (MESA). Eur Heart J Cardiovasc Imaging 2021; 23:708-716. [PMID: 34086883 DOI: 10.1093/ehjci/jeab099] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Accepted: 05/03/2021] [Indexed: 11/14/2022] Open
Abstract
AIMS This study explored the association of coronary artery calcium (CAC) with incident cancer subtypes in the Multi-Ethnic Study of Atherosclerosis (MESA). CAC is an established predictor of cardiovascular disease (CVD), with emerging data also supporting independent predictive value for cancer. The association of CAC with risk for individual cancer subtypes is unknown. METHODS AND RESULTS We included 6271 MESA participants, aged 45-84 and without known CVD or self-reported history of cancer. There were 777 incident cancer cases during mean follow-up of 12.9 ± 3.1 years. Lung and colorectal cancer (186 cases) were grouped based on their strong overlap with CVD risk profile; prostate (men) and ovarian, uterine, and breast cancer (women) were considered as sex-specific cancers (in total 250 cases). Incidence rates and Fine and Gray competing risks models were used to assess relative risk of cancer-specific outcomes stratified by CAC groups or Log(CAC+1). The mean age was 61.7 ± 10.2 years, 52.7% were women, and 36.5% were White. Overall, all-cause cancer incidence increased with CAC scores, with rates per 1000 person-years of 13.1 [95% confidence interval (CI): 11.7-14.7] for CAC = 0 and 35.8 (95% CI: 30.2-42.4) for CAC ≥400. Compared with CAC = 0, hazards for those with CAC ≥400 were increased for lung and colorectal cancer in men [subdistribution hazard ratio (SHR): 2.2 (95% CI: 1.1-4.7)] and women [SHR: 2.2 (95% CI: 1.0-4.6)], but not significantly for sex-specific cancers across sexes. CONCLUSION CAC scores were associated with cancer risk in both sexes; however, this was stronger for lung and colorectal when compared with sex-specific cancers. Our data support potential synergistic use of CAC scores in the identification of both CVD and lung and colorectal cancer risk.
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Affiliation(s)
- Omar Dzaye
- Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Blalock 524D1, 600 N Wolfe St, Baltimore, MD 21287, USA.,Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Philipp Berning
- Department of Hematology and Oncology, University Hospital Muenster, Muenster, Germany
| | - Zeina A Dardari
- Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Blalock 524D1, 600 N Wolfe St, Baltimore, MD 21287, USA
| | - Martin Bødtker Mortensen
- Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Blalock 524D1, 600 N Wolfe St, Baltimore, MD 21287, USA.,Department of Cardiology, Aarhus University Hospital, Aarhus, Denmark
| | - Catherine Handy Marshall
- Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Blalock 524D1, 600 N Wolfe St, Baltimore, MD 21287, USA
| | - Khurram Nasir
- Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart & Vascular Center, Houston, TX, USA
| | - Matthew J Budoff
- Department of Medicine, Lundquist Institute, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Roger S Blumenthal
- Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Blalock 524D1, 600 N Wolfe St, Baltimore, MD 21287, USA
| | - Seamus P Whelton
- Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Blalock 524D1, 600 N Wolfe St, Baltimore, MD 21287, USA
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University School of Medicine, Blalock 524D1, 600 N Wolfe St, Baltimore, MD 21287, USA
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Parr SK, Steele CC, Hammond ST, Turpin VRG, Ade CJ. Arterial stiffness is associated with cardiovascular and cancer mortality in cancer patients: Insight from NHANESIII. Int J Cardiol Hypertens 2021; 9:100085. [PMID: 34095811 PMCID: PMC8167280 DOI: 10.1016/j.ijchy.2021.100085] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 04/14/2021] [Accepted: 04/23/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Cancer survivors are at greater risk for cardiovascular disease (CVD) than second malignancy, resulting in a decreased quality of life and increased cost of care. Additional knowledge of CVD prevention by identifying possible risk factors has clinical relevance. Our main objective was to determine the relevance of a clinical index of arterial stiffness, pulse pressure, in predicting CVD mortality in cancer patients, with a second objective to examine its relationship with cancer mortality. METHODS We retrospectively analyzed 781 cancer patients from Third National Health and Nutrition Examination Survey and Linked Mortality File, including demographic, anthropometric, blood pressure, and cause of death. Kaplan-Meier survival curve and Cox hazard regression analyses were performed to assess the relationship between pulse pressure and cardiovascular, cancer, and all-cause mortality. RESULTS During a mean follow-up time of 8.1 years, 603 deaths, 257 cancer and 151 CVD, occurred. In unadjusted models, the risk of CVD, cancer, and all-cause mortality were 3.8-fold, 5.3-fold, and 1.6-fold higher, respectively, for pulse pressure ≥70 mmHg compared to <50 mmHg. Adjusted analyses revealed a higher CVD mortality in cancer patients <65 years with a pulse pressure 60-70 mmHg (adjusted hazard ratio, 5.26; 95%CI, 1.12-24.78) when compared to pulse pressure of <50 mmHg. Pulse pressure was not associated with risk of all-cause, CVD, or cancer in those ≥65 years. CONCLUSION Pulse pressure, an index of arterial stiffness, is predictive of CVD mortality in cancer patients. Our findings support non-invasive office-setting measurements of arterial stiffness to identify high risk patients.
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Affiliation(s)
- Shannon K. Parr
- Department of Kinesiology, College of Health and Human Sciences, Kansas State University, USA
| | - Catherine C. Steele
- Department of Psychology and Communication, College of Arts and Sciences, Texas A&M International University, USA
| | - Stephen T. Hammond
- Department of Kinesiology, College of Health and Human Sciences, Kansas State University, USA
| | - Vanessa Rose G. Turpin
- Department of Kinesiology, College of Health and Human Sciences, Kansas State University, USA
| | - Carl J. Ade
- Department of Kinesiology, College of Health and Human Sciences, Kansas State University, USA
- Physician Assistant Studies, College of Health and Human Sciences, Kansas State University, USA
- Johnson Cancer Center, Kansas State University, USA
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Blaha MJ, DeFilippis AP. Multi-Ethnic Study of Atherosclerosis (MESA): JACC Focus Seminar 5/8. J Am Coll Cardiol 2021; 77:3195-3216. [PMID: 34167645 DOI: 10.1016/j.jacc.2021.05.006] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 05/04/2021] [Accepted: 05/10/2021] [Indexed: 10/21/2022]
Abstract
The MESA (Multi-Ethnic Study of Atherosclerosis) is a National Heart, Lung, and Blood Institute-sponsored prospective study aimed at studying the prevalence, progression, determinants, and prognostic significance of subclinical cardiovascular disease in a sex-balanced, multiethnic, community-dwelling U.S. cohort. MESA helped usher in an era of noninvasive evaluation of subclinical atherosclerosis presence, burden, and progression for the evaluation of atherosclerotic cardiovascular disease risk, beyond what could be predicted by traditional risk factors alone. Concepts developed in MESA have informed international patient care guidelines, providing new tools to effectively guide public health policy, population screening, and clinical decision-making. MESA is grounded in an open science model that continues to be a beacon for collaborative science. In this review, we detail the original goals of MESA, and describe how the scope of MESA has evolved over time. We highlight 10 significant MESA contributions to cardiovascular medicine, and chart the path forward for MESA in the year 2021 and beyond.
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Affiliation(s)
- Michael J Blaha
- Johns Hopkins Ciccarone Center or the Prevention of Cardiovascular Disease, Baltimore, Maryland, USA.
| | - Andrew P DeFilippis
- Johns Hopkins Ciccarone Center or the Prevention of Cardiovascular Disease, Baltimore, Maryland, USA; Division of Cardiology. Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Ahmed AI, Raggi P, Al-Mallah MH. Teaching an old dog new tricks: The prognostic role of CACS in hospitalized COVID-19 patients. Atherosclerosis 2021; 328:106-107. [PMID: 34074488 PMCID: PMC8156836 DOI: 10.1016/j.atherosclerosis.2021.05.015] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Accepted: 05/20/2021] [Indexed: 12/26/2022]
Affiliation(s)
| | | | - Mouaz H Al-Mallah
- Houston Methodist Debakey Heart & Vascular Center, Houston, TX, USA.
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Liu K, Wilkins JT, Colangelo LA, Lloyd-Jones DM. Does Lowering Low-Density Lipoprotein Cholesterol With Statin Restore Low Risk in Middle-Aged Adults? Analysis of the Observational MESA Study. J Am Heart Assoc 2021; 10:e019695. [PMID: 33998284 PMCID: PMC8483525 DOI: 10.1161/jaha.120.019695] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Background It is unclear if statin therapy in midlife can restore low cardiovascular risk in hypercholesterolemic individuals. Methods and Results At baseline, we grouped 5687 MESA (Multi‐Ethnic Study of Atherosclerosis) participants aged ≥50 years without clinical cardiovascular disease (CVD) by Adult Treatment Panel III statin treatment recommendation and statin treatment status. We used Cox regression to compare the risks for coronary heart disease and CVD between the untreated group with low‐density lipoprotein cholesterol (LDL‐C) <100 mg/dL (reference) and other groups, adjusting for CVD risk factors. We also grouped participants by LDL‐C level (< or ≥100 mg/dL), coronary artery calcium score (0 or >0 Agatston units), and statin status (untreated or treated) with the untreated LDL‐C <100 mg/dL and coronary artery calcium=0 Agatston units as the reference. There were 567 coronary heart disease and 848 CVD events over 15 years of follow‐up. The hazard ratios (HRs) for coronary heart disease and CVD in the group with statin‐treated LDL‐C <100 mg/dL were 1.16 (95% CI, 0.85–1.58) and 1.02 (95% CI, 0.78–1.32), respectively. However, participants with coronary artery calcium >0 Agatston units, treated to LDL‐C <100 mg/dL had HRs of 2.6 (95% CI, 1.7–4.2) for coronary heart disease and 1.8 (95% CI, 1.2–2.6) for CVD. Conclusions Individuals treated with statins to LDL‐C <100 mg/dL had similar levels of risk for atherosclerotic CVD as individuals with untreated LDL‐C <100 mg/dL. However, individuals with coronary artery calcium >0 Agatston units have substantially higher risks despite lipid‐lowering therapy, suggesting that statin treatment in midlife may not restore a low‐risk state in primary prevention patients with established coronary atherosclerosis.
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Affiliation(s)
- Kiang Liu
- Department of Preventive Medicine Northwestern University, Feinberg School of Medicine Chicago IL
| | - John T Wilkins
- Department of Preventive Medicine Northwestern University, Feinberg School of Medicine Chicago IL.,The Department of Medicine Division of Cardiology Northwestern University, Feinberg School of Medicine Chicago IL
| | - Laura A Colangelo
- Department of Preventive Medicine Northwestern University, Feinberg School of Medicine Chicago IL
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine Northwestern University, Feinberg School of Medicine Chicago IL.,The Department of Medicine Division of Cardiology Northwestern University, Feinberg School of Medicine Chicago IL
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Selvaraj S, Khan MS, Vidula MK, Wiener PC, de Feria AE, Rojulpote C, Krishnan S, Tamrat R, Julien H, Jacoby D, Litt H, Pryma D, Dubroff J, Guerraty MA, Bravo P. Incremental prognostic value of visually estimated coronary artery calcium in patients undergoing positron emission tomography imaging. Open Heart 2021; 8:e001648. [PMID: 33963079 PMCID: PMC8108688 DOI: 10.1136/openhrt-2021-001648] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 04/19/2021] [Accepted: 04/23/2021] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE Visually estimated coronary artery calcium (VECAC) from chest CT or attenuation correction (AC)/CT obtained during positron emission tomography (PET)-myocardial perfusion imaging (MPI) is feasible. Our aim was to determine the prognostic value of VECAC beyond conventional risk factors and PET imaging parameters, including coronary flow reserve (CFR). METHODS We analysed 608 patients without known coronary artery disease who underwent PET-MPI between 2012 and 2016 and had AC/CT and/or chest CT images. We used Cox regression to estimate the association of VECAC categories (≤10, 11-400, >400 Agatston units (AU)) with the primary outcome of all-cause death, acute coronary syndrome or stroke (mean follow-up 4.3±1.8 years). C-statistics assessed the relationship between PET parameters and VECAC with the primary outcome. RESULTS Mean age was 58±11 years, 65% were women and 67% were black. VECAC ≤10, 11-400 and >400 AU was observed in 68%, 12% and 20% of subjects, respectively. Compared with VECAC ≤10, VECAC categories 11-400 (HR 2.25, 95% CI 1.24 to 4.08) and >400 AU (HR 3.05, 95% CI 1.87 to 4.98) were associated with the primary outcome after adjusting for traditional risk factors, MPI findings and CFR. Adding VECAC to a model that included PET-MPI, CFR and clinical risk factors improved the prognostic value for the primary outcomes (c-statistic 0.71 to 0.75 with VECAC, p=0.01). CONCLUSIONS VECAC is a potent predictor of events beyond traditional risk factors and PET imaging markers, including CFR. These data further support the importance for routine VECAC implementation.
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Affiliation(s)
- Senthil Selvaraj
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Muhammad Shoaib Khan
- Department of Medicine, Marshfield Clinic Health System, Marshfield, Wisconsin, USA
| | - Mahesh K Vidula
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Philip C Wiener
- Department of Medicine, Albert Einstein Medical Center, Philadelphia, Pennsylvania, USA
| | - Alejandro E de Feria
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Chaitanya Rojulpote
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Sheela Krishnan
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Ruth Tamrat
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Howard Julien
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Douglas Jacoby
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Harold Litt
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Daniel Pryma
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Jacob Dubroff
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Marie A Guerraty
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Paco Bravo
- Department of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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41
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Peng AW, Dardari ZA, Blumenthal RS, Dzaye O, Obisesan OH, Iftekhar Uddin SM, Nasir K, Blankstein R, Budoff MJ, Bødtker Mortensen M, Joshi PH, Page J, Blaha MJ. Very High Coronary Artery Calcium (≥1000) and Association With Cardiovascular Disease Events, Non-Cardiovascular Disease Outcomes, and Mortality: Results From MESA. Circulation 2021; 143:1571-1583. [PMID: 33650435 DOI: 10.1161/circulationaha.120.050545] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND There are limited data on the unique cardiovascular disease (CVD), non-CVD, and mortality risks of primary prevention individuals with very high coronary artery calcium (CAC; ≥1000), especially compared with rates observed in secondary prevention populations. METHODS Our study population consisted of 6814 ethnically diverse individuals 45 to 84 years of age who were free of known CVD from MESA (Multi-Ethnic Study of Atherosclerosis), a prospective, observational, community-based cohort. Mean follow-up time was 13.6±4.4 years. Hazard ratios of CAC ≥1000 were compared with both CAC 0 and CAC 400 to 999 for CVD, non-CVD, and mortality outcomes with the use of Cox proportional hazards regression adjusted for age, sex, and traditional risk factors. Using a sex-adjusted logarithmic model, we calculated event rates in MESA as a function of CAC and compared them with those observed in the placebo group of stable secondary prevention patients in the FOURIER clinical trial (Further Cardiovascular Outcomes Research With PCSK9 Inhibition in Subjects With Elevated Risk). RESULTS Compared with CAC 400 to 999, those with CAC ≥1000 (n=257) had a greater mean number of coronary vessels with CAC (3.4±0.5), greater total area of CAC (586.5±275.2 mm2), similar CAC density, and more extensive extracoronary calcification. After full adjustment, CAC ≥1000 demonstrated a 4.71- (3.63-6.11), 7.57- (5.50-10.42), 4.86-(3.32-7.11), and 1.94-fold (1.57-2.41) increased risk for all CVD events, all coronary heart disease events, hard coronary heart disease events, and all-cause mortality, respectively, compared with CAC 0 and a 1.65- (1.25-2.16), 1.66- (1.22-2.25), 1.51- (1.03-2.23), and 1.34-fold (1.05-1.71) increased risk compared with CAC 400 to 999. With increasing CAC, hazard ratios increased for all event types, with no apparent upper CAC threshold. CAC ≥1000 was associated with a 1.95- (1.57-2.41) and 1.43-fold (1.12-1.83) increased risk for a first non-CVD event compared with CAC 0 and CAC 400 to 999, respectively. CAC 1000 corresponded to an annualized 3-point major adverse cardiovascular event rate of 3.4 per 100 person-years, similar to that of the total FOURIER population (3.3) and higher than those of the lower-risk FOURIER subgroups. CONCLUSIONS Individuals with very high CAC (≥1000) are a unique population at substantially higher risk for CVD events, non-CVD outcomes, and mortality than those with lower CAC, with 3-point major adverse cardiovascular event rates similar to those of a stable treated secondary prevention population. Future guidelines should consider a less distinct stratification algorithm between primary and secondary prevention patients in guiding aggressive preventive pharmacotherapy.
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Affiliation(s)
- Allison W Peng
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (A.W.P., Z.A.D., R.S.B., O.D., O.H.O., S.M.I.U., M.B.M., M.J.Blaha)
| | - Zeina A Dardari
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (A.W.P., Z.A.D., R.S.B., O.D., O.H.O., S.M.I.U., M.B.M., M.J.Blaha)
| | - Roger S Blumenthal
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (A.W.P., Z.A.D., R.S.B., O.D., O.H.O., S.M.I.U., M.B.M., M.J.Blaha)
| | - Omar Dzaye
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (A.W.P., Z.A.D., R.S.B., O.D., O.H.O., S.M.I.U., M.B.M., M.J.Blaha)
| | - Olufunmilayo H Obisesan
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (A.W.P., Z.A.D., R.S.B., O.D., O.H.O., S.M.I.U., M.B.M., M.J.Blaha)
| | - S M Iftekhar Uddin
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (A.W.P., Z.A.D., R.S.B., O.D., O.H.O., S.M.I.U., M.B.M., M.J.Blaha)
| | - Khurram Nasir
- Division of Cardiovascular Prevention and Wellness, Houston Methodist DeBakey Heart and Vascular Center, Center for Outcomes Research, Houston Methodist Hospital, TX (K.N.)
| | - Ron Blankstein
- Cardiovascular Imaging Program, Departments of Medicine (Cardiovascular Division) and Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA (R.B.)
| | - Matthew J Budoff
- Department of Medicine, Harbor-UCLA Medical Center, Los Angeles, CA (M.J.Budoff)
| | - Martin Bødtker Mortensen
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (A.W.P., Z.A.D., R.S.B., O.D., O.H.O., S.M.I.U., M.B.M., M.J.Blaha).,Department of Cardiology, Aarhus University Hospital, Denmark (M.B.M.)
| | - Parag H Joshi
- Department of Internal Medicine, Division of Cardiology, University of Texas Southwestern Medical Center, Dallas (P.H.J.)
| | - John Page
- Center for Observational Research, Amgen Inc, Thousand Oaks, CA (J.P.)
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Johns Hopkins School of Medicine, Baltimore, MD (A.W.P., Z.A.D., R.S.B., O.D., O.H.O., S.M.I.U., M.B.M., M.J.Blaha)
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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: 3468] [Impact Index Per Article: 867.0] [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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43
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Xia C, Vonder M, Sidorenkov G, Ma R, Oudkerk M, van der Harst P, De Deyn PP, Vliegenthart R. Coronary Artery Calcium and Cognitive Function in Dutch Adults: Cross-Sectional Results of the Population-Based ImaLife Study. J Am Heart Assoc 2021; 10:e018172. [PMID: 33525927 PMCID: PMC7955332 DOI: 10.1161/jaha.120.018172] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2020] [Accepted: 11/16/2020] [Indexed: 01/03/2023]
Abstract
Background The aim of this study was to investigate whether increased severity of coronary artery calcium (CAC), an imaging biomarker of subclinical coronary atherosclerosis, is associated with worse cognitive function independent of cardiovascular risk factors in a large population-based Dutch cohort with broad age range. Methods and Results A cross-sectional analysis was performed in 4988 ImaLife participants (aged 45-91 years, 58.3% women) without history of cardiovascular disease. CAC scores were obtained using nonenhanced cardiac computed tomography scanning. The CogState Brief Battery was used to assess 4 cognitive domains: processing speed, attention, working memory, and visual learning based on detection task, identification task, 1-back task, and 1-card-learning task, respectively. Differences in mean scores of each cognitive domain were compared among 4 CAC categories (0, 1-99, 100-399, ≥400) using analysis of covariates to adjust for classical cardiovascular risk factors. Age-stratified analysis (45-54, 55-64, and ≥65 years) was performed to assess whether the association of CAC severity with cognitive function differed by age. Overall, higher CAC was associated with worse performance on 1-back task after adjusting for classical cardiovascular risk factors, but CAC was not associated with the other cognitive tasks. Age-stratified analyses revealed that the association of CAC severity with working memory persisted in participants aged 45 to 54 years, while in the elderly this association lost significance. Conclusions In this Dutch population of ≥45 years, increased CAC severity was associated with worse performance of working memory, independent of classical cardiovascular risk factors. The inverse relationship of CAC score categories with working memory was strongest in participants aged 45 to 54 years.
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Affiliation(s)
- Congying Xia
- Department of RadiologyUniversity of GroningenGroningenThe Netherlands
| | - Marleen Vonder
- Department of EpidemiologyUniversity of GroningenGroningenThe Netherlands
| | - Grigory Sidorenkov
- Department of EpidemiologyUniversity of GroningenGroningenThe Netherlands
| | - Runlei Ma
- Department of RadiologyUniversity of GroningenGroningenThe Netherlands
| | - Matthijs Oudkerk
- Faculty of Medical SciencesUniversity of GroningenGroningenThe Netherlands
| | - Pim van der Harst
- Department of CardiologyUniversity of GroningenGroningenThe Netherlands
- Department of CardiologyUniversity Medical Center UtrechtGroningenThe Netherlands
| | - Peter Paul De Deyn
- Department of NeurologyAlzheimer Center GroningenUniversity of GroningenUniversity Medical Center GroningenGroningenThe Netherlands
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Obisesan OH, Osei AD, Uddin SI, Dzaye O, Blaha MJ. An Update on Coronary Artery Calcium Interpretation at Chest and Cardiac CT. Radiol Cardiothorac Imaging 2021; 3:e200484. [PMID: 33778659 PMCID: PMC7977732 DOI: 10.1148/ryct.2021200484] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 11/17/2020] [Accepted: 12/23/2020] [Indexed: 11/11/2022]
Abstract
Coronary artery calcium (CAC) is a marker of overall coronary atherosclerotic burden in an individual. As such, it is an important tool in cardiovascular risk stratification and preventive treatment of asymptomatic patients with unclear cardiovascular disease risk. Several guidelines have recommended the use of CAC testing in shared decision making between the clinician and patient. With recent updates in clinical management guidelines and broad recommendations for CAC, there is a need for concise updated information on CAC interpretation on traditional electrocardiographically gated scans and nongated thoracic scans. Important points to report when interpreting CAC scans include: the absolute Agatston score and the age, sex, and race-specific CAC percentile; general recommendations on time-to-rescan for individuals with a CAC score of 0; the number of vessels with CAC; the presence of CAC in the left main coronary artery; and specific highlighting of individuals with very high CAC scores of greater than 1000. When risk factor information is available, the 10-year coronary heart disease risk can also be easily assessed using the free online Multi-Ethnic Study of Atherosclerosis risk score calculator. Recent improvements in standardizing the reporting of CAC findings across gated and nongated studies, such as the CAC Data and Reporting System, show promise for improving the widespread clinical value of CAC in clinical practice. © RSNA, 2021.
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Affiliation(s)
- Olufunmilayo H. Obisesan
- From the Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, 733 N Broadway, Baltimore, MD 21205 (O.H.O., A.D.O., S.M.I.U., O.D., M.J.B.); American Heart Association Tobacco Regulation and Addiction Center, Dallas, Tex (O.H.O., A.D.O., S.M.I.U., M.J.B.); and Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (O.D.)
| | - Albert D. Osei
- From the Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, 733 N Broadway, Baltimore, MD 21205 (O.H.O., A.D.O., S.M.I.U., O.D., M.J.B.); American Heart Association Tobacco Regulation and Addiction Center, Dallas, Tex (O.H.O., A.D.O., S.M.I.U., M.J.B.); and Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (O.D.)
| | - S.M. Iftekhar Uddin
- From the Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, 733 N Broadway, Baltimore, MD 21205 (O.H.O., A.D.O., S.M.I.U., O.D., M.J.B.); American Heart Association Tobacco Regulation and Addiction Center, Dallas, Tex (O.H.O., A.D.O., S.M.I.U., M.J.B.); and Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (O.D.)
| | - Omar Dzaye
- From the Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, 733 N Broadway, Baltimore, MD 21205 (O.H.O., A.D.O., S.M.I.U., O.D., M.J.B.); American Heart Association Tobacco Regulation and Addiction Center, Dallas, Tex (O.H.O., A.D.O., S.M.I.U., M.J.B.); and Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (O.D.)
| | - Michael J. Blaha
- From the Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, 733 N Broadway, Baltimore, MD 21205 (O.H.O., A.D.O., S.M.I.U., O.D., M.J.B.); American Heart Association Tobacco Regulation and Addiction Center, Dallas, Tex (O.H.O., A.D.O., S.M.I.U., M.J.B.); and Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Md (O.D.)
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Orringer CE, Blaha MJ, Blankstein R, Budoff MJ, Goldberg RB, Gill EA, Maki KC, Mehta L, Jacobson TA. The National Lipid Association scientific statement on coronary artery calcium scoring to guide preventive strategies for ASCVD risk reduction. J Clin Lipidol 2021; 15:33-60. [PMID: 33419719 DOI: 10.1016/j.jacl.2020.12.005] [Citation(s) in RCA: 131] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 12/07/2020] [Indexed: 12/21/2022]
Abstract
An Expert Panel of the National Lipid Association reviewed the evidence related to the use of coronary artery calcium (CAC) scoring in clinical practice for adults seen for primary prevention of atherosclerotic cardiovascular disease. Recommendations for optimal use of this test in adults of various races/ethnicities, ages and multiple domains of primary prevention, including those with a 10-year ASCVD risk <20%, those with diabetes or the metabolic syndrome, and those with severe hypercholesterolemia were provided. Recommendations were also made on optimal timing for repeat calcium scoring after an initial test, use of CAC scoring in those taking statins, and its role in informing the clinician patient discussion on the benefit of aspirin and anti-hypertensive drug therapy. Finally, a vision is provided for the future of coronary calcium scoring.
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Affiliation(s)
- Carl E Orringer
- University of Miami, Miller School of Medicine, Cardiovascular Division.
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease
| | - Ron Blankstein
- Brigham and Women's Hospital, Harvard Medical School, Cardiovascular Division
| | | | - Ronald B Goldberg
- Diabetes Research Institute, University of Miami Miller School of Medicine
| | - Edward A Gill
- University of Colorado School of Medicine, Anschutz Campus
| | - Kevin C Maki
- Department of Applied Health Science, School of Public Health, and Midwest Biomedical Research, Indiana University
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Hamczyk MR, Nevado RM, Barettino A, Fuster V, Andrés V. Biological Versus Chronological Aging: JACC Focus Seminar. J Am Coll Cardiol 2020; 75:919-930. [PMID: 32130928 DOI: 10.1016/j.jacc.2019.11.062] [Citation(s) in RCA: 231] [Impact Index Per Article: 46.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 11/21/2019] [Accepted: 11/25/2019] [Indexed: 01/13/2023]
Abstract
Aging is the main risk factor for vascular disease and ensuing cardiovascular and cerebrovascular events, the leading causes of death worldwide. In a progressively aging population, it is essential to develop early-life biomarkers that efficiently identify individuals who are at high risk of developing accelerated vascular damage, with the ultimate goal of improving primary prevention and reducing the health care and socioeconomic impact of age-related cardiovascular disease. Studies in experimental models and humans have identified 9 highly interconnected hallmark processes driving mammalian aging. However, strategies to extend health span and life span require understanding of interindividual differences in age-dependent functional decline, known as biological aging. This review summarizes the current knowledge on biological age biomarkers, factors influencing biological aging, and antiaging interventions, with a focus on vascular aspects of the aging process and its cardiovascular disease related manifestations.
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Affiliation(s)
- Magda R Hamczyk
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain; Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, Oviedo, Spain. https://twitter.com/HamczykMagda
| | - Rosa M Nevado
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Ana Barettino
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain
| | - Valentín Fuster
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Spain; The Zena and Michael A. Wiener Cardiovascular Institute/Marie-Josée and Henry R. Kravis Center for Cardiovascular Health, Mount Sinai School of Medicine, New York, New York
| | - Vicente Andrés
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain.
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Malahfji M, Al-Mallah MH. Incidental findings on cardiac computed tomography: No new emergencies to declare! J Nucl Cardiol 2020; 27:2316-2319. [PMID: 30911951 DOI: 10.1007/s12350-019-01691-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2019] [Accepted: 03/11/2019] [Indexed: 10/27/2022]
Affiliation(s)
- Maan Malahfji
- Houston Methodist DeBakey Heart and Vascular Center, 6550 Fannin Street, Smith Tower - Suite 1801, Houston, TX, 77030, USA
| | - Mouaz H Al-Mallah
- Houston Methodist DeBakey Heart and Vascular Center, 6550 Fannin Street, Smith Tower - Suite 1801, Houston, TX, 77030, USA.
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Wang FM, Reiter–Brennan C, Dardari Z, Marshall CH, Nasir K, Miedema MD, Berman DS, Rozanski A, Rumberger JA, Budoff MJ, Dzaye O, Blaha MJ. Association between coronary artery calcium and cardiovascular disease as a supporting cause in cancer: The CAC consortium. Am J Prev Cardiol 2020; 4:100119. [PMID: 34327479 PMCID: PMC8315471 DOI: 10.1016/j.ajpc.2020.100119] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 10/22/2020] [Accepted: 10/24/2020] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Identifying cancer patients at high risk of CVD is important for targeting CVD prevention strategies and evaluating chemotherapy options in the context of cardiotoxicity. Coronary artery calcium (CAC), a strong marker of coronary atherosclerosis, is used clinically to enhance risk assessment, yet the value of CAC for assessing risk of CVD complications in cancer is poorly understood. OBJECTIVE In cases of cancer mortality, to determine the value of CAC for predicting risk of CVD as a supporting cause of death. METHODS The CAC Consortium is a multi-center cohort of 66,636 asymptomatic adults without CVD who underwent CAC scanning. During a follow-up of 12.5 years, 1129 patients died of cancer and were included in this analysis. The primary outcome was presence of CVD listed as a supporting cause of cancer mortality on official death certificates obtained from the National Death Index. Logistic regression models were used to assess the odds of CVD being listed as a supporting cause of death by CAC. RESULTS CVD was listed as a supporting cause of death in 306 (27%) cancer mortality cases. Baseline CAC was significantly higher in individuals with CVD-supported mortality. Odds ratios of having CVD-supported death increased by ASCVD risk score category [1.15 (0.81, 1.65) for 5-20% 10-year risk and 1.97 (1.36, 2.89) for ≥20% risk, in reference to <5% 10-year ASCVD risk] and CAC category [1.07 (0.73, 1.57) for CAC 1-99, 1.29 (0.87, 1.93) for CAC 100-399, and 2.14 (1.48, 3.09) for CAC ≥400 relative to CAC 0]. In the CAC ≥400 group, these associations remained significantly elevated after adjustment for traditional CVD risk factors [1.66 (1.08, 2.55)]. A sensitivity analysis using a more specific ASCVD-supported mortality outcome, defined as coronary heart disease, stroke, and peripheral artery disease, demonstrated that adjusted odds of ASCVD-supported cancer mortality were significantly elevated in the CAC ≥400 group relative to CAC 0 [3.09 (1.39, 7.38)]. CONCLUSIONS In cancer mortality cases, high antecedent CAC predicted risk of having CVD as a supporting cause of death on official death certificates, independently of ASCVD risk score and CVD risk factors. CAC may be useful for identifying cancer patients at high CVD risk who might benefit from more intense preventive cardiovascular therapies.
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Affiliation(s)
- Frances M. Wang
- Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University, Baltimore, MD, USA
| | - Cara Reiter–Brennan
- Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University, Baltimore, MD, USA
- Department of Radiology and Neuroradiology, Charité, Berlin, Germany
| | - Zeina Dardari
- Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University, Baltimore, MD, USA
| | | | - Khurram Nasir
- Division Cardiovascular Prevention and Wellness, Houston Methodist Hospital, Houston, TX, USA
| | - Michael D. Miedema
- Minneapolis Heart Institute, Abbott Northwestern Hospital, Minneapolis, MN, USA
| | - Daniel S. Berman
- Department of Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Alan Rozanski
- Division of Cardiology, Mount Sinai St. Luke’s Hospital, New York, NY, USA
| | | | - Matthew J. Budoff
- Department of Medicine, Harbor-UCLA Medical Center, University of California Los Angeles, Los Angeles, CA, USA
| | - Omar Dzaye
- Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University, Baltimore, MD, USA
- Department of Radiology and Neuroradiology, Charité, Berlin, Germany
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael J. Blaha
- Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Johns Hopkins University, Baltimore, MD, USA
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Coronary Artery Calcium and the Age-Specific Competing Risk of Cardiovascular Versus Cancer Mortality: The Coronary Artery Calcium Consortium. Am J Med 2020; 133:e575-e583. [PMID: 32268145 PMCID: PMC7541686 DOI: 10.1016/j.amjmed.2020.02.034] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 02/15/2020] [Accepted: 02/16/2020] [Indexed: 01/01/2023]
Abstract
BACKGROUND Coronary artery calcium (CAC) is a guideline recommended cardiovascular disease (CVD) risk stratification tool that increases with age and is associated with non-cardiovascular disease outcomes including cancer. We sought to define the age-specific change in the association between CAC and cause-specific mortality. METHODS The Coronary Artery Calcium Consortium includes 59,502 asymptomatic patients age 40-75 without known CVD. Age-stratified mortality rates and parametric survival regression modeling was performed to estimate the age-specific CAC score at which CVD and cancer mortality risk were equal. RESULTS The mean age was 54±8 years (67% men) and there were 2,423 deaths over a mean 12±3 years follow-up. Among individuals with CAC = 0, cancer was the leading cause of death, with low CVD mortality rates for both younger (40-54 years) 0.2/1,000 person-years and older participants (65-75 years) 1.3/1,000 person-years. When CAC ≥400, CVD was consistently the leading cause of death among younger (71% of deaths) and older participants (56% of deaths). The CAC score at which CVD overtook cancer as the leading cause of death increased exponentially with age and was approximately 115 at age 50 and 380 at age 65. CONCLUSIONS Regardless of age, when CAC = 0 cancer was the leading cause of death and the cardiovascular disease mortality rate was low. Our age-specific estimate for the CAC score at which CVD overtakes cancer mortality allows for a more precise approach to synergistic prediction and prevention strategies for CVD and cancer.
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50
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Torngren K, Rylance R, Björk J, Engström G, Frantz S, Marko-Varga G, Melander O, Nihlen U, Olsson H, Planck M, Wennersten A, Malmqvist U, Erlinge D. Association of coronary calcium score with endothelial dysfunction and arterial stiffness. Atherosclerosis 2020; 313:70-75. [PMID: 33032235 DOI: 10.1016/j.atherosclerosis.2020.09.022] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Revised: 09/17/2020] [Accepted: 09/23/2020] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND AIMS The aim of the study was to determine potential associations between endothelial dysfunction and arterial stiffness, measured by peripheral arterial tonometry, and coronary artery calcium score (CACS) assessed by computed tomography (CT). METHODS AND RESULTS The BIG3 study is a prospective longitudinal, non-interventional, pulmonary-cardiovascular cohort study exploring the three major smoking-induced diseases: cardiovascular disease, chronic obstructive pulmonary disease, and lung cancer, in a 45-75 aged cohort (mean 62 years), enriched in smokers. Computed tomography of the chest with assessment of CACS was performed in a selected subset of the participants (n = 2080). Peripheral arterial tonometry (EndoPAT) was used to assess endothelial function and arterial stiffness measured as reactive hyperaemia index (RHI) and augmentation index (AI), respectively. We observed significant associations of CACS, endothelial dysfunction, and arterial stiffness with several risk factors for coronary heart disease including age, sex, BMI, diabetes mellitus, and blood pressure. There was significant association of CACS, classified into three levels of severity, with RHI and AI (p = 0.0005 and p = 0.0009, respectively). For groups of increasing CACS (0, 1-400 and > 400 Agatston score), RHI decreased from median 1.89 (1.58-2.39), and 1.93 (1.62-2.41) to 1.77 (1.51-2.10). AI increased from median 14.3 (5.7-25.2), and 16.4 (8.1-27.6) to 18.0 (9.1-29.2). RHI, but not AI, remained significantly associated with CACS after risk factors adjustment. CONCLUSIONS In this large study of coronary artery calcium and vascular function, we found an association between CACS and both endothelial dysfunction and arterial stiffness, indicating that they may reflect similar mechanisms for development of cardiovascular disease.
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Affiliation(s)
- Kristina Torngren
- Department of Cardiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Rebecca Rylance
- Department of Cardiology, Clinical Sciences, Lund University, Lund, Sweden
| | - Jonas Björk
- Department of Division of Occupational and Environmental Medicine, Clinical Sciences, Lund University, Lund, Sweden
| | - Gunnar Engström
- Department of Cardiovascular Epidemiology Research Group, Department of Clinical Sciences, Lund University, Malmö, Lund, Sweden
| | - Sophia Frantz
- Department of Translational Medicine, Clinical Physiology and Nuclear Medicine, Lund University, Malmö, Sweden
| | | | - Olle Melander
- Department of Cardiovascular Epidemiology Research Group, Department of Clinical Sciences, Lund University, Malmö, Lund, Sweden
| | - Ulf Nihlen
- Department of Respiratory Medicine and Allergology, Lund University, Lund, Sweden
| | - Henric Olsson
- Translational Science and Experimental Medicine, Research and Early Development, Respiratory, Inflammation and Autoimmune (RIA), BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Maria Planck
- Division of Oncology and Pathology, Department of Clinical Sciences, Lund University, Lund, Sweden
| | - André Wennersten
- Clinical Studies Sweden - Forum South, Skåne University Hospital, Lund, Sweden
| | - Ulf Malmqvist
- Clinical Studies Sweden - Forum South, Skåne University Hospital, Lund, Sweden
| | - David Erlinge
- Department of Cardiology, Clinical Sciences, Lund University, Lund, Sweden.
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