1
|
Di Lenarda F, Balestrucci A, Terzi R, Lopes P, Ciliberti G, Marchetti D, Schillaci M, Doldi M, Melotti E, Ratti A, Provera A, Paolisso P, Andreini D, Conte E. Coronary Artery Disease, Family History, and Screening Perspectives: An Up-to-Date Review. J Clin Med 2024; 13:5833. [PMID: 39407893 PMCID: PMC11477357 DOI: 10.3390/jcm13195833] [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: 09/16/2024] [Revised: 09/25/2024] [Accepted: 09/28/2024] [Indexed: 10/20/2024] Open
Abstract
Family history for CAD (coronary artery disease) is an established cardiovascular (CV) risk factor and it is progressively acquiring importance in patients' CV risk stratification. Numerous studies have demonstrated that individuals with a first-degree relative affected by CAD have a significantly higher risk of developing the condition themselves; in particular, when CAD occurs at an early age in relatives. Indeed, recently published CCS (chronic coronary syndrome) ESC (European Society of Cardiology) guidelines include family history (FH) as a risk factor to consider when calculating pre-test risk for CAD. ESC guidelines on preventive cardiology (2021) only suggested CV risk assessment in the presence of a positive FH for CV disease, not considering it in the actual risk scores. Evidence suggests that positive anamnesis for relatives affected by CAD correlates with ACS (acute coronary syndrome) and CAD, with slight differences in relative risk as far as the degree of kinship is concerned. Genetic factors contribute to this correlation by influencing key processes that affect heart health, such as cholesterol metabolism, blood pressure regulation, and inflammatory responses. New technologies in the genetics field are increasing the availability of genome sequencing, and new polymorphism panels are being tested as predictive for CAD, objectifying familiarity. Advances in imaging techniques allow the assessment of coronary atherosclerosis and its composition, and these are acquiring strength in evidence and recommendations in ESC guidelines as a way to define coronary disease in low and low-to-intermediate risk patients and to guide medical therapy and interventional procedures. Use of these emerging tools to guide screening is likely to be extended, beyond high CV risk patients, to individuals with FH for early CAD and/or specific genetic profiles, as recent evidence in the literature is suggesting.
Collapse
Affiliation(s)
- Francesca Di Lenarda
- Department of Medical and Surgical Sciences, Faculty of Medicine and Surgery, School of Cardiovascular Diseases, University of Milan, 20126 Milan, Italy (A.B.); (R.T.)
| | - Angela Balestrucci
- Department of Medical and Surgical Sciences, Faculty of Medicine and Surgery, School of Cardiovascular Diseases, University of Milan, 20126 Milan, Italy (A.B.); (R.T.)
| | - Riccardo Terzi
- Department of Medical and Surgical Sciences, Faculty of Medicine and Surgery, School of Cardiovascular Diseases, University of Milan, 20126 Milan, Italy (A.B.); (R.T.)
| | - Pedro Lopes
- Department of Cardiology, Hospital de Santa Cruz, Centro Hospitalar Lisboa Ocidental, Carnaxide, 2799-134 Lisbon, Portugal;
| | - Giuseppe Ciliberti
- Department of Medical and Surgical Sciences, Faculty of Medicine and Surgery, School of Cardiovascular Diseases, Marche University Hospital, 60121 Ancona, Italy;
| | - Davide Marchetti
- Department of Medical and Surgical Sciences, Faculty of Medicine and Surgery, School of Cardiovascular Diseases, Ospedale Galeazzi-Sant’Ambrogio, 20157 Milan, Italy; (D.M.); (M.S.); (M.D.); (E.M.); (A.R.); (A.P.); (P.P.); (D.A.)
| | - Matteo Schillaci
- Department of Medical and Surgical Sciences, Faculty of Medicine and Surgery, School of Cardiovascular Diseases, Ospedale Galeazzi-Sant’Ambrogio, 20157 Milan, Italy; (D.M.); (M.S.); (M.D.); (E.M.); (A.R.); (A.P.); (P.P.); (D.A.)
| | - Marco Doldi
- Department of Medical and Surgical Sciences, Faculty of Medicine and Surgery, School of Cardiovascular Diseases, Ospedale Galeazzi-Sant’Ambrogio, 20157 Milan, Italy; (D.M.); (M.S.); (M.D.); (E.M.); (A.R.); (A.P.); (P.P.); (D.A.)
| | - Eleonora Melotti
- Department of Medical and Surgical Sciences, Faculty of Medicine and Surgery, School of Cardiovascular Diseases, Ospedale Galeazzi-Sant’Ambrogio, 20157 Milan, Italy; (D.M.); (M.S.); (M.D.); (E.M.); (A.R.); (A.P.); (P.P.); (D.A.)
| | - Angelo Ratti
- Department of Medical and Surgical Sciences, Faculty of Medicine and Surgery, School of Cardiovascular Diseases, Ospedale Galeazzi-Sant’Ambrogio, 20157 Milan, Italy; (D.M.); (M.S.); (M.D.); (E.M.); (A.R.); (A.P.); (P.P.); (D.A.)
| | - Andrea Provera
- Department of Medical and Surgical Sciences, Faculty of Medicine and Surgery, School of Cardiovascular Diseases, Ospedale Galeazzi-Sant’Ambrogio, 20157 Milan, Italy; (D.M.); (M.S.); (M.D.); (E.M.); (A.R.); (A.P.); (P.P.); (D.A.)
| | - Pasquale Paolisso
- Department of Medical and Surgical Sciences, Faculty of Medicine and Surgery, School of Cardiovascular Diseases, Ospedale Galeazzi-Sant’Ambrogio, 20157 Milan, Italy; (D.M.); (M.S.); (M.D.); (E.M.); (A.R.); (A.P.); (P.P.); (D.A.)
| | - Daniele Andreini
- Department of Medical and Surgical Sciences, Faculty of Medicine and Surgery, School of Cardiovascular Diseases, Ospedale Galeazzi-Sant’Ambrogio, 20157 Milan, Italy; (D.M.); (M.S.); (M.D.); (E.M.); (A.R.); (A.P.); (P.P.); (D.A.)
| | - Edoardo Conte
- Department of Medical and Surgical Sciences, Faculty of Medicine and Surgery, School of Cardiovascular Diseases, Ospedale Galeazzi-Sant’Ambrogio, 20157 Milan, Italy; (D.M.); (M.S.); (M.D.); (E.M.); (A.R.); (A.P.); (P.P.); (D.A.)
| |
Collapse
|
2
|
Kamzolas O, Papazoglou AS, Gemousakakis E, Moysidis DV, Kyriakoulis KG, Brilakis ES, Milkas A. Concomitant Coronary Artery Disease in Identical Twins: Case Report and Systematic Literature Review. J Clin Med 2023; 12:5742. [PMID: 37685809 PMCID: PMC10489011 DOI: 10.3390/jcm12175742] [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: 08/21/2023] [Revised: 08/29/2023] [Accepted: 08/31/2023] [Indexed: 09/10/2023] Open
Abstract
Coronary artery disease (CAD) is multifactorial and strongly affected by genetic, epigenetic and environmental factors. Several studies have reported development of concomitant CAD in identical twins. We report a case in which a pair of Caucasian male monozygotic twins presented almost concomitantly with acute coronary syndrome (ACS) and had concordant coronary anatomy and identical site of occlusion. We performed a systematic literature review of PubMed, Web Of Science and Scopus databases from inception until 28 February 2023 of case reports/case series reporting the concomitant development of CAD in monozygotic twins. We found 25 eligible case reports with a total of 31 monozygotic twin pairs (including the case from our center) suffering from CAD and presenting (most of them simultaneously) with ACS (mean age of presentation: 45 ± 12 years, males: 81%). Coronary angiograms demonstrated lesion and anatomy concordance in 77% and 79% of the twin pairs, respectively. Screening for disease-related genetic mutations was performed in six twin pairs leading to the identification of five CAD-related genetic polymorphisms. This is the first systematic literature review of studies reporting identical twin pairs suffering from CAD. In summary, there is high concordance of coronary anatomy and clinical presentation between monozygotic twins. Future monozygotic twin studies-unbiased by age effects-can provide insights into CAD heritability being able to disentangle the traditional dyad of genetic and environmental factors and investigate the within-pair epigenetic drift.
Collapse
Affiliation(s)
| | | | | | | | | | - Emmanouil S Brilakis
- Center for Coronary Artery Disease, Minneapolis Heart Institute and Minneapolis Heart Institute Foundation, Abbott Northwestern, Minneapolis, MN 55407, USA
| | | |
Collapse
|
3
|
Raygor V, Ayers C, Segar MW, Agusala K, Khera A, Pandey A, Joshi PH. Impact of Family History of Premature Coronary Artery Disease on Noninvasive Testing in Stable Chest Pain. J Am Heart Assoc 2023; 12:e029266. [PMID: 37158070 DOI: 10.1161/jaha.122.029266] [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: 05/10/2023]
Affiliation(s)
- Viraj Raygor
- Division of Cardiology, Department of Internal Medicine Parkland Hospital Dallas TX USA
- Division of Cardiology, Department of Internal Medicine University of Texas Southwestern Medical Center Dallas TX USA
| | - Colby Ayers
- Division of Cardiology, Department of Internal Medicine University of Texas Southwestern Medical Center Dallas TX USA
| | - Matthew W Segar
- Department of Cardiology Texas Heart Institute Houston TX USA
| | - Kartik Agusala
- Division of Cardiology, Department of Internal Medicine University of Texas Southwestern Medical Center Dallas TX USA
| | - Amit Khera
- Division of Cardiology, Department of Internal Medicine University of Texas Southwestern Medical Center Dallas TX USA
| | - Ambarish Pandey
- Division of Cardiology, Department of Internal Medicine University of Texas Southwestern Medical Center Dallas TX USA
| | - Parag H Joshi
- Division of Cardiology, Department of Internal Medicine University of Texas Southwestern Medical Center Dallas TX USA
| |
Collapse
|
4
|
Fote GM, Raefsky S, Mock K, Chaudhari A, Shafie M, Yu W. Intracranial Arterial Calcifications: Potential Biomarkers of Stroke Risk and Outcome. Front Neurol 2022; 13:900579. [PMID: 36119671 PMCID: PMC9475140 DOI: 10.3389/fneur.2022.900579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Accepted: 06/24/2022] [Indexed: 11/30/2022] Open
Abstract
Intracranial artery calcifications (IAC), a common and easily identifiable finding on computed tomorgraphy angiography (CTA), has gained recognition as a possible risk factor for ischemic stroke. While atherosclerosis of intracranial arteries is believed to be a mechanism that commonly contributes to ischemic stroke, and coronary artery calcification is well-established as a predictor of both myocardial infarction (MI) and ischemic stroke risk, IAC is not currently used as a prognostic tool for stroke risk or recurrence. This review examines the pathophysiology and prevalence of IAC, and current evidence suggesting that IAC may be a useful tool for prediction of stroke incidence, recurrence, and response to acute ischemic stroke therapy.
Collapse
Affiliation(s)
- Gianna M. Fote
- School of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Sophia Raefsky
- Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States
| | - Kelton Mock
- School of Medicine, University of California, Irvine, Irvine, CA, United States
| | - Amit Chaudhari
- Department of Neurology, University of California, Irvine, Irvine, CA, United States
- *Correspondence: Amit Chaudhari
| | - Mohammad Shafie
- Department of Neurology, University of California, Irvine, Irvine, CA, United States
| | - Wengui Yu
- Department of Neurology, University of California, Irvine, Irvine, CA, United States
| |
Collapse
|
5
|
Llewellyn O, Williams MC. What should we do about Coronary Calcification on Thoracic CT? ROFO-FORTSCHR RONTG 2022; 194:833-840. [PMID: 35272359 DOI: 10.1055/a-1752-0577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
PURPOSE Coronary artery calcification is a frequent incidental finding on thoracic computed tomography (CT) performed for non-cardiac indications. On electrocardiogram-gated cardiac CT, it is an established marker of coronary artery disease and is associated with increased risk of subsequent cardiac events. MATERIALS AND METHODS This review discusses the current evidence and guidelines regarding the reporting of coronary artery calcification on non-electrocardiogram-gated thoracic CT performed for non-cardiac indications. RESULTS For patients undergoing routine thoracic CT, coronary artery calcification is associated with an increased risk of myocardial infarction and mortality. Coronary artery calcification can be accurately assessed on non-gated thoracic CT compared to gated CT. Guidelines support the reporting of coronary artery calcification on thoracic CT. However, radiologist opinions vary. The identification of coronary artery calcification on thoracic CT may identify patients with previously unknown coronary artery disease. For asymptomatic patients this may trigger an assessment of modifiable cardiovascular risk factors and guide the appropriate use of preventative medications. CONCLUSION Future research will address whether changing management based on calcification on thoracic CT will improve outcomes and automated assessment of calcification using machine learning techniques. KEY POINTS · Coronary artery calcification is a frequent incidental finding on thoracic CT.. · The presence and severity of coronary artery calcification is associated with cardiac outcomes and mortality.. · Reporting coronary artery calcification on thoracic CT is supported by national and international guidelines.. CITATION FORMAT · Williams MC, Llewellyn O, . What Should We Do About Coronary Calcification on Thoracic CT?. Fortschr Röntgenstr 2022; 194: 833 - 840.
Collapse
Affiliation(s)
- Oliver Llewellyn
- Department of Radiology, Royal Infirmary of Edinburgh, United Kingdom of Great Britain and Northern Ireland
| | - Michelle C Williams
- Centre for Cardiovascular Science, The University of Edinburgh Centre for Cardiovascular Science, Edinburgh, United Kingdom of Great Britain and Northern Ireland
| |
Collapse
|
6
|
Gupta A, Bera K, Kikano E, Pierce JD, Gan J, Rajdev M, Ciancibello LM, Gupta A, Rajagopalan S, Gilkeson RC. Coronary Artery Calcium Scoring: Current Status and Future Directions. Radiographics 2022; 42:947-967. [PMID: 35657766 DOI: 10.1148/rg.210122] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Coronary artery calcium (CAC) scores obtained from CT scans have been shown to be prognostic in assessment of the risk for development of cardiovascular diseases, facilitating the prediction of outcome in asymptomatic individuals. Currently, several methods to calculate the CAC score exist, and each has its own set of advantages and disadvantages. Agatston CAC scoring is the most extensively used method. CAC scoring is currently recommended for use in asymptomatic individuals to predict the risk of developing cardiovascular diseases and the disease-specific mortality. In specific subsets of patients, the CAC score has also been recommended for reclassifying cardiovascular risk and aiding in decision making when planning primary prevention interventions such as statin therapy. The progression of CAC scores on follow-up images has been shown to be linked to risk of myocardial infarction and cardiovascular mortality. While the CAC score is a validated tool used clinically, several challenges, including various pitfalls associated with the acquisition, calculation, and interpretation of the score, prevent more widespread adoption of this metric. Recent research has been focused extensively on strategies to improve existing scoring methods, including measuring calcium attenuation, detecting microcalcifications, and focusing on extracoronary calcifications, and on strategies to improve image acquisition. A better understanding of CAC scoring approaches will help radiologists and other physicians better use and interpret these scores in their workflows. An invited commentary by S. Gupta is available online. Online supplemental material is available for this article. ©RSNA, 2022.
Collapse
Affiliation(s)
- Amit Gupta
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Kaustav Bera
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Elias Kikano
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Jonathan D Pierce
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Jonathan Gan
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Maharshi Rajdev
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Leslie M Ciancibello
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Aekta Gupta
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Sanjay Rajagopalan
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| | - Robert C Gilkeson
- From the Department of Radiology (Amit Gupta, K.B., E.K., J.D.P., J.G., M.R., L.M.C., R.C.G.) and Harrington Heart & Vascular Institute (S.R.), University Hospitals Cleveland Medical Center/Case Western Reserve University School of Medicine, 11100 Euclid Ave, Cleveland, OH 44106; and Department of Medicine, Mercy Health-St. Elizabeth Youngstown Hospital, Youngstown, OH (Aekta Gupta)
| |
Collapse
|
7
|
Kamani CH, Huang W, Lutz J, Giannopoulos AA, Patriki D, von Felten E, Schwyzer M, Gebhard C, Benz DC, Fuchs TA, Gräni C, Pazhenkottil AP, Kaufmann PA, Buechel RR. Impact of Adaptive Statistical Iterative Reconstruction-V on Coronary Artery Calcium Scores Obtained From Low-Tube-Voltage Computed Tomography - A Patient Study. Acad Radiol 2022; 29 Suppl 4:S11-S16. [PMID: 33187851 DOI: 10.1016/j.acra.2020.10.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Revised: 10/16/2020] [Accepted: 10/24/2020] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To evaluate the impact of adaptive statistical iterative reconstruction-V (ASIR-V) on the accuracy of ultra-low-dose coronary artery calcium (CAC) scoring. MATERIALS AND METHOD One-hundred-and-three patients who underwent computed tomography (CT) for CAC scoring were prospectively included. All underwent standard scanning with 120-kilovolt-peak (kVp) and with 80- and 70-kVp tube voltage. ASiR-V was applied to the 80- and 70-kVp scans at different levels. The 120-kVp scans reconstructed with filtered back projection served as the standard of reference. Recently published novel kVp-adapted thresholds were used for calculation of CAC scores from 80- and 70-kVp scans and the resulting CAC scores were compared against the standard of reference. Patients were stratified into six CAC score risk categories: 0, 1-10, 11-100, 101-400, 401-1000, and >1000. RESULTS Increasing levels of ASIR-V led to an increasing underestimation of CAC scores with bias ranging from -128 to -118 and from -205 to -198 for the 80- and 70-kVp scans, respectively, when compared with the standard of reference. Reconstruction with 20% and 40% ASIR-V for the 80- and 70-kVp scans, respectively, yielded noise levels comparable to the standard of reference. Nevertheless, a change in risk-class was observed in 29 (28.6%) and 46 (44.7%) patients, exclusively to a lower risk-class, when CAC scores were derived from these reconstructions. CONCLUSION ASIR-V leads to noise reduction in CT scans acquired with low tube-voltages. However, ASIR-V introduces substantial inaccuracies and marked underestimation of ultra-low-dose CAC scoring as compared with standard-dose CAC scoring despite normalization of noise.
Collapse
Affiliation(s)
- Christel H Kamani
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Wenjie Huang
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Joel Lutz
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | | | - Dimitri Patriki
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Elia von Felten
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Moritz Schwyzer
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Catherine Gebhard
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Dominik C Benz
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Tobias A Fuchs
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | - Christoph Gräni
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND
| | | | | | - Ronny R Buechel
- University Hospital Zürich, Rämistrasse 100, 8091 Zürich, SWITZERLAND.
| |
Collapse
|
8
|
Drobni ZD, Kolossvary M, Karady J, Jermendy AL, Tarnoki AD, Tarnoki DL, Simon J, Szilveszter B, Littvay L, Voros S, Jermendy G, Merkely B, Maurovich-Horvat P. Heritability of Coronary Artery Disease: Insights From a Classical Twin Study. Circ Cardiovasc Imaging 2022; 15:e013348. [PMID: 35290075 PMCID: PMC8925867 DOI: 10.1161/circimaging.121.013348] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Genetics have a strong influence on calcified atherosclerotic plaques; however, data regarding the heritability of noncalcified plaque volume are scarce. We aimed to evaluate genetic versus environmental influences on calcium (coronary artery calcification) score, noncalcified and calcified plaque volumes by coronary computed tomography angiography in adult twin pairs without known coronary artery disease. METHODS In the prospective BUDAPEST-GLOBAL (Burden of Atherosclerotic Plaques Study in Twins-Genetic Loci and the Burden of Atherosclerotic Lesions) classical twin study, we analyzed twin pairs without known coronary artery disease. All twins underwent coronary computed tomography angiography to assess coronary atherosclerotic plaque volumes. Structural equation models were used to quantify the contribution of additive genetic, common environmental, and unique environmental components to plaque volumes adjusted for age, gender, or atherosclerotic cardiovascular disease risk estimate and statin use. RESULTS We included 196 twins (mean age±SD, 56±9 years, 63.3% females), 120 monozygotic and 76 same-gender dizygotic pairs. Using structural equation models, noncalcified plaque volume was predominantly determined by environmental factors (common environment, 63% [95% CI, 56%-67%], unique environment, 37% [95% CI, 33%-44%]), while coronary artery calcification score and calcified plaque volumes had a relatively strong genetic heritability (additive genetic, 58% [95% CI, 50%-66%]; unique environmental, 42% [95% CI, 34%-50%] and additive genetic, 78% [95% CI, 73%-80%]; unique environmental, 22% [95% CI, 20%-27%]), respectively. CONCLUSIONS Noncalcified plaque volume is mainly influenced by shared environmental factors, whereas coronary artery calcification score and calcified plaque volume are more determined by genetics. These findings emphasize the importance of early lifestyle interventions in preventing coronary plaque formation. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT01738828.
Collapse
Affiliation(s)
- Zsofia D Drobni
- MTA-SE Cardiovascular Imaging Research Group, (Z.D.D., M.K., J.K., A.L.J., J.S., B.S., P.M.-H.), Semmelweis University, Budapest, Hungary
| | - Marton Kolossvary
- Cardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA (M.K., J.K.)
| | - Julia Karady
- Cardiovascular Imaging Research Center, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA (M.K., J.K.)
| | - Adam L Jermendy
- MTA-SE Cardiovascular Imaging Research Group, (Z.D.D., M.K., J.K., A.L.J., J.S., B.S., P.M.-H.), Semmelweis University, Budapest, Hungary
| | - Adam D Tarnoki
- Department of Radiology, Medical Imaging Centre (A.D.T., D.L.T., P.M.-H.), Semmelweis University, Budapest, Hungary
| | - David L Tarnoki
- Department of Radiology, Medical Imaging Centre (A.D.T., D.L.T., P.M.-H.), Semmelweis University, Budapest, Hungary
| | - Judit Simon
- MTA-SE Cardiovascular Imaging Research Group, (Z.D.D., M.K., J.K., A.L.J., J.S., B.S., P.M.-H.), Semmelweis University, Budapest, Hungary
| | - Balint Szilveszter
- MTA-SE Cardiovascular Imaging Research Group, (Z.D.D., M.K., J.K., A.L.J., J.S., B.S., P.M.-H.), Semmelweis University, Budapest, Hungary
| | - Levente Littvay
- Department of Political Science, Central European University, Budapest, Hungary (L.L.)
| | | | | | - Bela Merkely
- Heart and Vascular Center (B.M.), Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Pal Maurovich-Horvat
- Department of Radiology, Medical Imaging Centre (A.D.T., D.L.T., P.M.-H.), Semmelweis University, Budapest, Hungary
| |
Collapse
|
9
|
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: 0.7] [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.
Collapse
|
10
|
The clinical importance of triglyceride/glucose ratio in the primary prevention of cardiovascular diseases: A retrospective cohort study. JOURNAL OF SURGERY AND MEDICINE 2021. [DOI: 10.28982/josam.864108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
11
|
Impact of a coronary artery calcium-guided statin treatment protocol on cardiovascular risk at 12 months: Results from a pragmatic, randomised controlled trial. Atherosclerosis 2021; 334:57-65. [PMID: 34482089 DOI: 10.1016/j.atherosclerosis.2021.08.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 06/19/2021] [Accepted: 08/03/2021] [Indexed: 11/21/2022]
Abstract
BACKGROUND AND AIMS Coronary artery calcium (CAC) may encourage patients to adhere to primary prevention recommendations. This study sought to evaluate the benefit of a CAC-guided risk-management protocol in those with a family history of premature coronary artery disease (FHCAD). METHODS In this Australian multi-centre, randomized controlled trial (Coronary Artery Calcium score: Use to Guide management of Hereditary Coronary Artery Disease, CAUGHT-CAD), asymptomatic, statin-native participants at low-intermediate cardiovascular risk with FHCAD underwent CAC assessment. Those with CAC between 1 and 400 were randomized (1:1) to disclosing the CAC result to both patient and physician and commencing atorvastatin (intervention) or blinding the CAC result with risk factor education only (control). The primary endpoint of this sub-study was change in Pooled Cohort Equation (PCE) at 12 months. RESULTS Of 1088 participants who were scanned, 450 were randomised and 214 in both groups completed 1-year follow-up. At 1 year, PCE-risk decreased by 1.0% (95% CI 0.13 to 1.81) in the CAC-disclosed group and increased by 0.43% (95%CI 0.11-0.75) in the CAC-blinded group. LDL-C decreased in the CAC-disclosed group in both those who continued (1.5 mmol/L; 95% CI 1.36 to 1.74) and discontinued statins (0.62 mmol/L; 95% CI 0.32 to 0.92) but was unchanged in the CAC-blinded group. CONCLUSION Participants unblinded to their CAC showed reductions in LDL irrespective of statin continuation when compared to controls at 12 months. Improvements in individual risk factors and PCE risk were also noted. CAC assessment may positively influence patients and physicians to improve risk factor control.
Collapse
|
12
|
Patel J, Pallazola VA, Dudum R, Greenland P, McEvoy JW, Blumenthal RS, Virani SS, Miedema MD, Shea S, Yeboah J, Abbate A, Hundley WG, Karger AB, Tsai MY, Sathiyakumar V, Ogunmoroti O, Cushman M, Savji N, Liu K, Nasir K, Blaha MJ, Martin SS, Al Rifai M. Assessment of Coronary Artery Calcium Scoring to Guide Statin Therapy Allocation According to Risk-Enhancing Factors: The Multi-Ethnic Study of Atherosclerosis. JAMA Cardiol 2021; 6:1161-1170. [PMID: 34259820 DOI: 10.1001/jamacardio.2021.2321] [Citation(s) in RCA: 51] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Importance The 2018 American Heart Association/American College of Cardiology Guideline on the Management of Blood Cholesterol recommends the use of risk-enhancing factor assessment and the selective use of coronary artery calcium (CAC) scoring to guide the allocation of statin therapy among individuals with an intermediate risk of atherosclerotic cardiovascular disease (ASCVD). Objective To examine the association between risk-enhancing factors and incident ASCVD by CAC burden among those at intermediate risk of ASCVD. Design, Setting, and Participants The Multi-Ethnic Study of Atherosclerosis is a multicenter population-based prospective cross-sectional study conducted in the US. Baseline data for the present study were collected between July 15, 2000, and July 14, 2002, and follow-up for incident ASCVD events was ascertained through August 20, 2015. Participants were aged 45 to 75 years with no clinical ASCVD or diabetes at baseline, were at intermediate risk of ASCVD (≥7.5% to <20.0%), and had a low-density lipoprotein cholesterol level of 70 to 189 mg/dL. Exposures Family history of premature ASCVD, premature menopause, metabolic syndrome, chronic kidney disease, lipid and inflammatory biomarkers, and low ankle-brachial index. Main Outcomes and Measures Incident ASCVD over a median follow-up of 12.0 years. Results A total of 1688 participants (mean [SD] age, 65 [6] years; 976 men [57.8%]). Of those, 648 individuals (38.4%) were White, 562 (33.3%) were Black, 305 (18.1%) were Hispanic, and 173 (10.2%) were Chinese American. A total of 722 participants (42.8%) had a CAC score of 0. Among those with 1 to 2 risk-enhancing factors vs those with 3 or more risk-enhancing factors, the prevalence of a CAC score of 0 was 45.7% vs 40.3%, respectively. Over a median follow-up of 12.0 years (interquartile range [IQR], 11.5-12.6 years), the unadjusted incidence rate of ASCVD among those with a CAC score of 0 was less than 7.5 events per 1000 person-years for all individual risk-enhancing factors (with the exception of ankle-brachial index, for which the incidence rate was 10.4 events per 1000 person-years [95% CI, 1.5-73.5]) and combinations of risk-enhancing factors, including participants with 3 or more risk-enhancing factors. Although the individual and composite addition of risk-enhancing factors to the traditional risk factors was associated with improvement in the area under the receiver operating curve, the use of CAC scoring was associated with the greatest improvement in the C statistic (0.633 vs 0.678) for ASCVD events. For incident ASCVD, the net reclassification improvement for CAC was 0.067. Conclusions and Relevance In this cross-sectional study, among participants with CAC scores of 0, the presence of risk-enhancing factors was generally not associated with an overall ASCVD risk that was higher than the recommended treatment threshold for the initiation of statin therapy. The use of CAC scoring was associated with significant improvements in the reclassification and discrimination of incident ASCVD. The results of this study support the utility of CAC scoring as an adjunct to risk-enhancing factor assessment to more accurately classify individuals with an intermediate risk of ASCVD who might benefit from statin therapy.
Collapse
Affiliation(s)
- Jaideep Patel
- Pauley Heart Center, Division of Cardiology, Virginia Commonwealth University Medical Center, Richmond.,Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland
| | - Vincent A Pallazola
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland
| | - Ramzi Dudum
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - John W McEvoy
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland.,National Institute for Prevention and Cardiovascular Health, School of Medicine, National University of Ireland Galway, Galway, Ireland
| | - Roger S Blumenthal
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland
| | - Salim S Virani
- Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas.,Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
| | - Michael D Miedema
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis
| | - Steven Shea
- Departments of Medicine and Epidemiology, Columbia University, New York, New York
| | - Joseph Yeboah
- Department of Cardiology, Wake Forest Baptist Health, Winston-Salem, North Carolina
| | - Antonio Abbate
- Pauley Heart Center, Division of Cardiology, Virginia Commonwealth University Medical Center, Richmond
| | - William G Hundley
- Pauley Heart Center, Division of Cardiology, Virginia Commonwealth University Medical Center, Richmond
| | - Amy B Karger
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis
| | - Vasanth Sathiyakumar
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland
| | - Oluseye Ogunmoroti
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland
| | - Mary Cushman
- Division of Hematology, University of Vermont, Burlington
| | - Nazir Savji
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland
| | - Kiang Liu
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Khurram Nasir
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland.,Division of Cardiovascular Prevention and Wellness, Department of Cardiovascular Medicine, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas.,Center for Cardiovascular, Computational, and Precision Health, Department of Cardiovascular Medicine, Houston Methodist DeBakey Heart and Vascular Center, Houston, Texas.,Division of Health Equity and Disparities Research, Center for Outcomes Research, Houston Methodist Hospital, Houston, Texas
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland
| | - Seth S Martin
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland
| | - Mahmoud Al Rifai
- Johns Hopkins Ciccarone Center for the Prevention of Cardiovascular Disease, Baltimore, Maryland.,Section of Cardiology, Department of Medicine, Baylor College of Medicine, Houston, Texas
| |
Collapse
|
13
|
Prevention of Coronary Artery Disease-Related Heart Failure: The Role of Computed Tomography Scan. Heart Fail Clin 2021; 17:187-194. [PMID: 33673944 DOI: 10.1016/j.hfc.2021.01.005] [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] [Indexed: 11/22/2022]
Abstract
During the past decade, coronary computed tomography angiography has emerged as the primary modality to noninvasively detect and rule out coronary artery disease. Therefore, this technique could play an important role in identifying patients at high risk of heart failure, considering the high prevalence of coronary artery disease in these patients. The latest technologies have also increased diagnostic accuracy, helping to close the gap with the other functional imaging modalities.
Collapse
|
14
|
Long-term all-cause mortality among asymptomatic individuals with 80th percentile of coronary calcium score based on age and gender in the St. Francis Heart Study. Coron Artery Dis 2021; 32:639-643. [PMID: 33826539 DOI: 10.1097/mca.0000000000001017] [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] [Indexed: 11/26/2022]
Abstract
OBJECTIVES High coronary artery calcium score (CAC) is a significant risk factor for cardiovascular morbidity and mortality. We investigated the long-term outcome of subjects with elevated CAC. METHODS We studied 1005 participants of The St. Francis Heart Study who were asymptomatic and apparently healthy and had CAC scores at 80th percentile or higher for age and gender. They were randomized to receive atorvastatin 20 mg daily or placebo for up to 5 years. We used an as-treated study design accounting for cross-overs at the end of the original trial. All-cause mortality risk was assessed using adjusted hazard ratios. RESULTS Mean age was 59 ± 6 years and 26% (N = 263) were female. After 17 ± 3 years follow-up 176 subjects died. High CAC at baseline was associated with increased mortality risk with adjusted hazard ratio for logarithmic transformed CAC at 1.33 and 95% confidence interval 1.06-1.68. The mortality risk associated with CAC was similar between the group with high-sensitivity CRP ≥2 and <2 mg/dL. Those with a family history of premature coronary artery disease exhibited a higher mortality risk in association with high CAC with an adjusted hazard ratio 1.51 (1.09, 2.09). CONCLUSION Elevated CAC is an independent risk for long-term all-cause mortality. The screening of CAC score in addition to identifying conventional risk factors can differentiate asymptomatic individuals with and without increased long-term mortality risk.
Collapse
|
15
|
Matos D, Ferreira AM, de Araújo Gonçalves P, Gama F, Freitas P, Guerreiro S, Cardoso G, Tralhão A, Dores H, Abecasis J, Marques H, Saraiva C, Mendes M. Coronary artery calcium scoring and cardiovascular risk reclassification in patients undergoing coronary computed tomography angiography. REVISTA PORTUGUESA DE CARDIOLOGIA (ENGLISH EDITION) 2021. [DOI: 10.1016/j.repce.2020.04.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
|
16
|
Matos D, Ferreira AM, de Araújo Gonçalves P, Gama F, Freitas P, Guerreiro S, Cardoso G, Tralhão A, Dores H, Abecasis J, Marques H, Saraiva C, Mendes M. Coronary artery calcium scoring and cardiovascular risk reclassification in patients undergoing coronary computed tomography angiography. Rev Port Cardiol 2020; 40:25-30. [PMID: 33303300 DOI: 10.1016/j.repc.2020.04.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Revised: 04/07/2020] [Accepted: 04/08/2020] [Indexed: 02/06/2023] Open
Abstract
INTRODUCTION Coronary artery calcium (CAC) scoring is used for both cardiovascular risk reclassification and as a gatekeeper for coronary computed tomography angiography (CCTA). The aims of this study were to assess to what extent CAC score results can reclassify the cardiovascular risk of patients without obstructive coronary artery disease (CAD) on CCTA, and to measure the proportion of these patients whose primary prevention medication is changed after the exam. METHODS In a retrospective analysis of a multicenter registry of individuals who underwent CCTA for suspected CAD during a two-year period, the Systematic COronary Risk Evaluation (SCORE) and Multi-Ethnic Study of Atherosclerosis (MESA) risk scores were calculated for each individual. In a subset of 184 patients, we also assessed the prescription of statins and antiplatelet agents before and after the test. RESULTS A total of 467 patients (248 women, mean age 60±9.10 years) were included. Median CAC score was 0 (interquartile range 0-40). Overall, 249 patients (53%) and 159 (34%) were classified as being of moderate/intermediate risk according to the SCORE and MESA risk scores, respectively. Among these, 29 (12%) and 30 (19%) patients had CAC score >100 AU, making them eligible for statin therapy. The inclusion of CAC scoring in the MESA score resulted in the reclassification of 215 patients (46%). The proportion of patients who were prescribed statins or antiplatelet agents did not change significantly after the test. CONCLUSION CAC scoring can reclassify cardiovascular risk in a significant proportion of patients undergoing CCTA. Despite this, little change was seen in the prescription of statins and antiplatelet agents.
Collapse
Affiliation(s)
- Daniel Matos
- Cardiology Department, Hospital de Santa Cruz, Carnaxide, Portugal
| | - António Miguel Ferreira
- Cardiology Department, Hospital de Santa Cruz, Carnaxide, Portugal; Advanced Cardiovascular Imaging Unit, Hospital da Luz, Lisbon, Portugal.
| | - Pedro de Araújo Gonçalves
- Cardiology Department, Hospital de Santa Cruz, Carnaxide, Portugal; Advanced Cardiovascular Imaging Unit, Hospital da Luz, Lisbon, Portugal
| | - Francisco Gama
- Cardiology Department, Hospital de Santa Cruz, Carnaxide, Portugal
| | - Pedro Freitas
- Cardiology Department, Hospital de Santa Cruz, Carnaxide, Portugal
| | - Sara Guerreiro
- Cardiology Department, Hospital de Santa Cruz, Carnaxide, Portugal
| | - Gonçalo Cardoso
- Cardiology Department, Hospital de Santa Cruz, Carnaxide, Portugal
| | - António Tralhão
- Cardiology Department, Hospital de Santa Cruz, Carnaxide, Portugal
| | - Hélder Dores
- Cardiology Department, Hospital de Santa Cruz, Carnaxide, Portugal
| | - João Abecasis
- Cardiology Department, Hospital de Santa Cruz, Carnaxide, Portugal
| | - Hugo Marques
- Advanced Cardiovascular Imaging Unit, Hospital da Luz, Lisbon, Portugal
| | - Carla Saraiva
- Cardiology Department, Hospital de Santa Cruz, Carnaxide, Portugal
| | - Miguel Mendes
- Cardiology Department, Hospital de Santa Cruz, Carnaxide, Portugal
| |
Collapse
|
17
|
Venkataraman P, Stanton T, Liew D, Huynh Q, Nicholls SJ, Mitchell GK, Watts GF, Tonkin AM, Marwick TH. Coronary artery calcium scoring in cardiovascular risk assessment of people with family histories of early onset coronary artery disease. Med J Aust 2020; 213:170-177. [DOI: 10.5694/mja2.50702] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2019] [Accepted: 03/26/2020] [Indexed: 11/17/2022]
Affiliation(s)
| | | | | | - Quan Huynh
- Menzies Institute for Medical ResearchUniversity of Tasmania Hobart TAS
| | | | | | | | | | | |
Collapse
|
18
|
Standardized reporting systems for computed tomography coronary angiography and calcium scoring: A real-world validation of CAD-RADS and CAC-DRS in patients with stable chest pain. J Cardiovasc Comput Tomogr 2020; 14:3-11. [DOI: 10.1016/j.jcct.2019.07.010] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2019] [Revised: 07/09/2019] [Accepted: 07/24/2019] [Indexed: 01/09/2023]
|
19
|
Khera A, Budoff MJ, O'Donnell CJ, Ayers CA, Locke J, de Lemos JA, Massaro JM, McClelland RL, Taylor A, Levine BD. Astronaut Cardiovascular Health and Risk Modification (Astro-CHARM) Coronary Calcium Atherosclerotic Cardiovascular Disease Risk Calculator. Circulation 2019; 138:1819-1827. [PMID: 30354651 DOI: 10.1161/circulationaha.118.033505] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Coronary artery calcium (CAC) is a powerful novel risk indicator for atherosclerotic cardiovascular disease (ASCVD). Currently, there is no available ASCVD risk prediction tool that integrates traditional risk factors and CAC. METHODS To develop a CAC ASCVD risk tool for younger individuals in the general population, subjects aged 40 to 65 without prior cardiovascular disease from 3 population-based cohorts were included. Cox proportional hazards models were developed incorporating age, sex, systolic blood pressure, total and high-density lipoprotein cholesterol, smoking, diabetes mellitus, hypertension treatment, family history of myocardial infarction, high-sensitivity C-reactive protein, and CAC scores (Astro-CHARM model [Astronaut Cardiovascular Health and Risk Modification]) as dependent variables and ASCVD (nonfatal/fatal myocardial infarction or stroke) as the outcome. Model performance was assessed internally, and validated externally in a fourth cohort. RESULTS The derivation study comprised 7382 individuals with a mean age 51 years, 45% women, and 55% nonwhite. The median CAC was 0 (25th, 75th [0,9]), and 304 ASCVD events occurred in a median 10.9 years of follow-up. The c-statistic was 0.784 for the risk factor model, and 0.817 for Astro-CHARM ( P<0.0001). In comparison with the risk factor model, the Astro-CHARM model resulted in integrated discrimination improvement (0.0252), and net reclassification improvement (0.121; P<0.0001), as well. The Astro-CHARM model demonstrated good discrimination (c=0.78) and calibration (Nam-D'Agostino χ2, 13.2; P=0.16) in the validation cohort (n=2057; 55 events). A mobile application and web-based tool were developed to facilitate clinical application of this tool ( www.AstroCHARM.org ). CONCLUSION The Astro-CHARM tool is the first integrated ASCVD risk calculator to incorporate risk factors, including high-sensitivity C-reactive protein and family history, and CAC data. It improves risk prediction in comparison with traditional risk factor equations and could be useful in risk-based decision making for cardiovascular disease prevention in the middle-aged general population.
Collapse
Affiliation(s)
- Amit Khera
- Department of Internal Medicine (A.K., J.A.d.L., B.D.L.), at the University of Texas Southwestern Medical Center, Dallas, TX.,Division of Cardiology (A.K., J.A.d.L., B.D.L.), at the University of Texas Southwestern Medical Center, Dallas, TX
| | - Matthew J Budoff
- Division of Cardiology, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, CA (M.J.B.)
| | - Christopher J O'Donnell
- The National Heart, Lung, and Blood Institute's the Framingham Heart Study, Framingham, Massachusetts; Cardiology Section, Department of Medicine, Boston Veteran's Administration Healthcare (C.J.O.)
| | - Colby A Ayers
- Department of Clinical Sciences (C.A.A.) at the University of Texas Southwestern Medical Center, Dallas, TX
| | - James Locke
- National Aeronautics and Space Agency, Johnson Space Center, Houston, TX (J.L.)
| | - James A de Lemos
- Department of Internal Medicine (A.K., J.A.d.L., B.D.L.), at the University of Texas Southwestern Medical Center, Dallas, TX.,Division of Cardiology (A.K., J.A.d.L., B.D.L.), at the University of Texas Southwestern Medical Center, Dallas, TX
| | | | | | - Allen Taylor
- Divison of Cardiology, Georgetown University; and MedStar Georgetown University Hospital and MedStar Health Research Institute, Washington, DC (A.T.)
| | - Benjamin D Levine
- Department of Internal Medicine (A.K., J.A.d.L., B.D.L.), at the University of Texas Southwestern Medical Center, Dallas, TX.,Division of Cardiology (A.K., J.A.d.L., B.D.L.), at the University of Texas Southwestern Medical Center, Dallas, TX.,Institute for Exercise and Environmental Medicine, Presbyterian Hospital, Dallas, TX (B.D.L.)
| |
Collapse
|
20
|
Navarrete-Hurtado S, Carvajal-Rivera JJ. Tomografía axial computarizada coronaria en la estratificación de riesgo. REVISTA COLOMBIANA DE CARDIOLOGÍA 2019. [DOI: 10.1016/j.rccar.2019.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022] Open
|
21
|
Garg PK, Jorgensen NW, McClelland RL, Leigh JA, Greenland P, Blaha MJ, Yoon AJ, Wong ND, Yeboah J, Budoff MJ. Use of coronary artery calcium testing to improve coronary heart disease risk assessment in a lung cancer screening population: The Multi-Ethnic Study of Atherosclerosis (MESA). J Cardiovasc Comput Tomogr 2018; 12:493-499. [PMID: 30297128 PMCID: PMC6585432 DOI: 10.1016/j.jcct.2018.10.001] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 06/19/2018] [Accepted: 10/01/2018] [Indexed: 01/25/2023]
Abstract
BACKGROUND Assessment of coronary artery calcium (CAC) during lung cancer screening chest computed tomography (CT) represents an opportunity to identify asymptomatic individuals at increased coronary heart disease (CHD) risk. We determined the improvement in CHD risk prediction associated with the addition of CAC testing in a population recommended for lung cancer screening. METHODS We included 484 out of 6814 Multi-Ethnic Study of Atherosclerosis (MESA) participants without baseline cardiovascular disease who met U.S. Preventive Service Task Force CT lung cancer screening criteria and underwent gated CAC testing. 10 year-predicted CHD risks with and without CAC were calculated using a validated MESA-based risk model and categorized into low (<5%), intermediate (5%-10%), and high (≥10%). The net reclassification improvement (NRI) and change in Harrell's C-statistic by adding CAC to the risk model were subsequently determined. RESULTS Of 484 included participants (mean age = 65; 39% women; 32% black), 72 (15%) experienced CHD events over the course of follow-up (median = 12.5 years). Adding CAC to the MESA CHD risk model resulted in 17% more participants classified into the highest or lowest risk categories and a NRI of 0.26 (p = 0.001). The C-statistic improved from 0.538 to 0.611 (p = 0.01). CONCLUSIONS CHD event rates were high in this lung cancer screening eligible population. These individuals represent a high-risk population who merit consideration for CHD prevention measures regardless of CAC score. Although overall discrimination remained poor with inclusion of CAC scores, determining whether those reclassified to an even higher risk would benefit from more aggressive preventive measures may be important.
Collapse
Affiliation(s)
- Parveen K Garg
- Division of Cardiology, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.
| | - Neal W Jorgensen
- Department of Biostatistics, University of Washington, Seattle, WA, United States.
| | - Robyn L McClelland
- Department of Biostatistics, University of Washington, Seattle, WA, United States.
| | - J Adam Leigh
- Division of Cardiology, Wake Forest School of Medicine, Winston-Salem, NC, United States.
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
| | - Michael J Blaha
- Divisions of Cardiology and Epidemiology, Johns Hopkins School of Medicine, Baltimore, MD, United States.
| | - Andrew J Yoon
- Division of Cardiology, University of Southern California Keck School of Medicine, Los Angeles, CA, United States.
| | - Nathan D Wong
- Heart Disease Prevention Program, Division of Cardiology, University of California at Irvine, Irvine, CA, United States.
| | - Joseph Yeboah
- Division of Cardiology, Wake Forest School of Medicine, Winston-Salem, NC, United States.
| | - Matthew J Budoff
- Los Angeles Biomedical Research Institute, Harbor-UCLA Medical Center, Torrance, CA, United States.
| |
Collapse
|
22
|
Coronary computed tomographic imaging in women: An expert consensus statement from the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr 2018; 12:451-466. [DOI: 10.1016/j.jcct.2018.10.019] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 10/21/2018] [Indexed: 12/21/2022]
|
23
|
Khera A, Joshi P. What's a Malignant Family History?: You'll Know It When You See It. JACC Cardiovasc Imaging 2017; 10:1136-1138. [PMID: 28109931 DOI: 10.1016/j.jcmg.2016.11.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Accepted: 11/10/2016] [Indexed: 11/28/2022]
Affiliation(s)
- Amit Khera
- Department of Internal Medicine, Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas.
| | - Parag Joshi
- Department of Internal Medicine, Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas
| |
Collapse
|
24
|
2016 SCCT/STR guidelines for coronary artery calcium scoring of noncontrast noncardiac chest CT scans: A report of the Society of Cardiovascular Computed Tomography and Society of Thoracic Radiology. J Thorac Imaging 2017; 32:W54-W66. [DOI: 10.1097/rti.0000000000000287] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
|
25
|
Coronary Artery Calcium Scoring: a Valuable Aid in Shared Decision Making Among Non-traditional Risk Markers. CURRENT CARDIOVASCULAR IMAGING REPORTS 2017. [DOI: 10.1007/s12410-017-9431-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
|
26
|
Preventive Interventions After Coronary Artery Calcium Scanning. JACC Cardiovasc Imaging 2017; 10:843-844. [DOI: 10.1016/j.jcmg.2017.02.025] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Accepted: 02/09/2017] [Indexed: 12/31/2022]
|
27
|
Mody P, Joshi PH, Khera A, Ayers CR, Rohatgi A. Beyond Coronary Calcification, Family History, and C-Reactive Protein: Cholesterol Efflux Capacity and Cardiovascular Risk Prediction. J Am Coll Cardiol 2017; 67:2480-7. [PMID: 27230043 DOI: 10.1016/j.jacc.2016.03.538] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Revised: 03/04/2016] [Accepted: 03/15/2016] [Indexed: 12/21/2022]
Abstract
BACKGROUND Cholesterol efflux capacity (CEC), which is a key step in the reverse cholesterol transport pathway, is independently associated with atherosclerotic cardiovascular disease (ASCVD). However, whether it predicts ASCVD beyond validated novel risk markers is unknown. OBJECTIVES This study assessed if CEC improved ACSVD risk prediction beyond using coronary artery calcium (CAC), family history (FH), and high-sensitivity C-reactive protein (hs-CRP). METHODS CEC, CAC, self-reported FH, and hs-CRP were assessed among participants without baseline ASCVD who were enrolled in the Dallas Heart Study (DHS). ASCVD was defined as a first nonfatal myocardial infarction (MI) or stroke, coronary revascularization, or cardiovascular death, assessed over a median 9.4 years. Risk prediction was assessed using various modeling techniques and improvements in the c-statistic, the integrated discrimination index (IDI), and the net reclassification index (NRI). RESULTS The mean age of the population (N = 1,972) was 45 years, 52% had CAC (>0), 31% had FH, and 58% had elevated hs-CRP (≥2 mg/l). CEC greater than the median was associated with a 50% reduced incidence of ASCVD in those with CAC (5.4% vs. 10.5%; p = 0.003), FH (5.8% vs. 10%; p = 0.05), and elevated hs-CRP (3.8% vs. 7.9%; p = 0.004). CEC improved all metrics of discrimination and reclassification when added to CAC (c-statistic, p = 0.004; IDI, p = 0.02; NRI: 0.38; 95% confidence interval [CI]: 0.13 to 0.53), FH (c-statistic, p = 0.006; IDI, p = 0.008; NRI: 0.38; 95% CI: 0.13 to 0.55), or elevated hs-CRP (c-statistic p = 0.008; IDI p = 0.02; NRI: 0.36; 95% CI 0.12 to 0.52). CONCLUSIONS CEC improves ASCVD risk prediction beyond using CAC, FH, and hs-CRP and warrants consideration as a novel ASCVD risk marker.
Collapse
Affiliation(s)
- Purav Mody
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas
| | - Parag H Joshi
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas; Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, Maryland
| | - Amit Khera
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas
| | - Colby R Ayers
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas; Department of Clinical Sciences, UT Southwestern Medical Center, Dallas, Texas
| | - Anand Rohatgi
- Division of Cardiology, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas.
| |
Collapse
|
28
|
Early coronary calcifications are related to cholesterol burden in heterozygous familial hypercholesterolemia. J Clin Lipidol 2017; 11:704-711.e2. [DOI: 10.1016/j.jacl.2017.03.016] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2016] [Revised: 02/11/2017] [Accepted: 03/27/2017] [Indexed: 12/12/2022]
|
29
|
Harrington J, Mody P, Blankstein R, Nasir K, Blaha MJ, Joshi PH. Coronary Artery Calcium Testing in Patients with Chest Pain: Alive and Kicking. CURRENT CARDIOVASCULAR RISK REPORTS 2017. [DOI: 10.1007/s12170-017-0542-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
|
30
|
Nezarat N, Kim M, Budoff M. Role of Coronary Calcium for Risk Stratification and Prognostication. CURRENT TREATMENT OPTIONS IN CARDIOVASCULAR MEDICINE 2017; 19:8. [DOI: 10.1007/s11936-017-0509-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
|
31
|
Hecht HS, Cronin P, Blaha MJ, Budoff MJ, Kazerooni EA, Narula J, Yankelevitz D, Abbara S. 2016 SCCT/STR guidelines for coronary artery calcium scoring of noncontrast noncardiac chest CT scans: A report of the Society of Cardiovascular Computed Tomography and Society of Thoracic Radiology. J Cardiovasc Comput Tomogr 2016; 11:74-84. [PMID: 27916431 DOI: 10.1016/j.jcct.2016.11.003] [Citation(s) in RCA: 277] [Impact Index Per Article: 34.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Accepted: 11/09/2016] [Indexed: 12/17/2022]
Abstract
The Society of Cardiovascular Computed Tomography (SCCT) and the Society of Thoracic Radiology (STR) have jointly produced this document. Experts in this subject have been selected from both organizations to examine subject-specific data and write this guideline in partnership. A formal literature review, weighing the strength of evidence has been performed. When available, information from studies on cost was considered. Computed tomography (CT) acquisition, CAC scoring methodologies and clinical outcomes are the primary basis for the recommendations in this guideline. This guideline is intended to assist healthcare providers in clinical decision making. The recommendations reflect a consensus after a thorough review of the best available current scientific evidence and practice patterns of experts in the field and are intended to improve patient care while acknowledging that situations arise where additional information may be needed to better inform patient care.
Collapse
Affiliation(s)
- Harvey S Hecht
- Lenox Hill Heart & Vascular Institute, New York, NY, United States
| | - Paul Cronin
- University of Michigan Health System, Ann Arbor, MI, United States
| | | | | | - Ella A Kazerooni
- University of Michigan Health System, Ann Arbor, MI, United States
| | - Jagat Narula
- Icahn School of Medicine at Mt. Sinai, New York, NY, United States
| | | | - Suhny Abbara
- UTSouthwestern Medical Center, Radiology, 5323 Harry Hines Blv, Dallas, TX 75390-9316, United States.
| |
Collapse
|
32
|
Sandfort V, Bluemke DA. CT calcium scoring. History, current status and outlook. Diagn Interv Imaging 2016; 98:3-10. [PMID: 27423708 DOI: 10.1016/j.diii.2016.06.007] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 06/16/2016] [Indexed: 11/30/2022]
Abstract
Cardiovascular risk assessment has assumed a prominent role in the course of preventive care of all adults. Traditionally cardiovascular risk assessment has been performed using risk factors including gender, age, smoking history, lipid status, diabetes status, and family history. Increasingly, imaging has been deployed to directly detect coronary atherosclerotic disease. Quantification of coronary calcium (e.g., Agatston method, calcium mass and volume) is readily detected using helical CT scanners. Large multicenter cohort studies have enabled a better understanding of the relevance of coronary calcium detection. The purpose of this review is to review the methods for quantification of coronary artery calcium, as well as to present current and future perspectives on calcium scoring for cardiovascular risk stratification.
Collapse
Affiliation(s)
- V Sandfort
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA
| | - D A Bluemke
- Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD, USA.
| |
Collapse
|
33
|
Hecht HS. Coronary artery calcium scanning: past, present, and future. JACC Cardiovasc Imaging 2016; 8:579-596. [PMID: 25937196 DOI: 10.1016/j.jcmg.2015.02.006] [Citation(s) in RCA: 210] [Impact Index Per Article: 26.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Revised: 02/01/2015] [Accepted: 02/05/2015] [Indexed: 02/06/2023]
Abstract
Coronary artery calcium scanning (CAC) has emerged as the most robust predictor of coronary events in the asymptomatic primary prevention population, particularly in the intermediate-risk cohort. Every study has demonstrated its superiority to risk factor-based paradigms, e.g., the Framingham Risk Score, with outcome-based net reclassification indexes ranging from 52.0% to 65.6% in the intermediate-risk, 34.0% to 35.8% in the high-risk, and 11.6% to 15.0% in the low-risk cohorts. CAC improves medication and lifestyle adherence and is cost-effective in specified populations, with the ability to effectively stratify the number needed to treat and scan for different therapeutic strategies and patient cohorts. Data have emerged clearly demonstrating the worse prognosis associated with increasing CAC on serial scans, suggesting a potential role for evaluating residual risk and treatment success or failure. CAC is also strongly associated with the development of stroke and congestive heart failure.
Collapse
Affiliation(s)
- Harvey S Hecht
- Icahn School of Medicine at Mount Sinai, New York, New York.
| |
Collapse
|
34
|
Knapper JT, Khosa F, Blaha MJ, Lebeis TA, Kay J, Sandesara PB, Kelkar AA, Berman DS, Quyyumi AA, Budoff MJ, Min JK, Valenti V, Giambrone AE, Callister TQ, Shaw LJ. Coronary calcium scoring for long-term mortality prediction in patients with and without a family history of coronary disease. Heart 2015; 102:204-8. [DOI: 10.1136/heartjnl-2015-308429] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2015] [Accepted: 11/19/2015] [Indexed: 01/07/2023] Open
|
35
|
Paixao AR, Ayers CR, El Sabbagh A, Sanghavi M, Berry JD, Rohatgi A, Kumbhani DJ, McGuire DK, Das SR, de Lemos JA, Khera A. Coronary Artery Calcium Improves Risk Classification in Younger Populations. JACC Cardiovasc Imaging 2015; 8:1285-93. [DOI: 10.1016/j.jcmg.2015.06.015] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2015] [Revised: 06/16/2015] [Accepted: 06/24/2015] [Indexed: 10/22/2022]
|
36
|
McClelland RL, Jorgensen NW, Budoff M, Blaha MJ, Post WS, Kronmal RA, Bild DE, Shea S, Liu K, Watson KE, Folsom AR, Khera A, Ayers C, Mahabadi AA, Lehmann N, Jöckel KH, Moebus S, Carr JJ, Erbel R, Burke GL. 10-Year Coronary Heart Disease Risk Prediction Using Coronary Artery Calcium and Traditional Risk Factors: Derivation in the MESA (Multi-Ethnic Study of Atherosclerosis) With Validation in the HNR (Heinz Nixdorf Recall) Study and the DHS (Dallas Heart Study). J Am Coll Cardiol 2015; 66:1643-53. [PMID: 26449133 PMCID: PMC4603537 DOI: 10.1016/j.jacc.2015.08.035] [Citation(s) in RCA: 445] [Impact Index Per Article: 49.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2015] [Revised: 08/09/2015] [Accepted: 08/10/2015] [Indexed: 02/06/2023]
Abstract
BACKGROUND Several studies have demonstrated the tremendous potential of using coronary artery calcium (CAC) in addition to traditional risk factors for coronary heart disease (CHD) risk prediction. However, to date, no risk score incorporating CAC has been developed. OBJECTIVES The goal of this study was to derive and validate a novel risk score to estimate 10-year CHD risk using CAC and traditional risk factors. METHODS Algorithm development was conducted in the MESA (Multi-Ethnic Study of Atherosclerosis), a prospective community-based cohort study of 6,814 participants age 45 to 84 years, who were free of clinical heart disease at baseline and followed for 10 years. MESA is sex balanced and included 39% non-Hispanic whites, 12% Chinese Americans, 28% African Americans, and 22% Hispanic Americans. External validation was conducted in the HNR (Heinz Nixdorf Recall Study) and the DHS (Dallas Heart Study). RESULTS Inclusion of CAC in the MESA risk score offered significant improvements in risk prediction (C-statistic 0.80 vs. 0.75; p < 0.0001). External validation in both the HNR and DHS studies provided evidence of very good discrimination and calibration. Harrell's C-statistic was 0.779 in HNR and 0.816 in DHS. Additionally, the difference in estimated 10-year risk between events and nonevents was approximately 8% to 9%, indicating excellent discrimination. Mean calibration, or calibration-in-the-large, was excellent for both studies, with average predicted 10-year risk within one-half of a percent of the observed event rate. CONCLUSIONS An accurate estimate of 10-year CHD risk can be obtained using traditional risk factors and CAC. The MESA risk score, which is available online on the MESA web site for easy use, can be used to aid clinicians when communicating risk to patients and when determining risk-based treatment strategies.
Collapse
Affiliation(s)
- Robyn L McClelland
- Department of Biostatistics, University of Washington, Seattle, Washington.
| | - Neal W Jorgensen
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Matthew Budoff
- Division of Cardiology, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Los Angeles, California
| | - Michael J Blaha
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, Maryland
| | - Wendy S Post
- Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Baltimore, Maryland
| | - Richard A Kronmal
- Department of Biostatistics, University of Washington, Seattle, Washington
| | - Diane E Bild
- Patient-Centered Outcomes Research Institute, Washington, DC
| | - Steven Shea
- Departments of Medicine and Epidemiology, Columbia University, New York, New York
| | - Kiang Liu
- Department of Preventive Medicine, Northwestern University Medical School, Chicago, Illinois
| | - Karol E Watson
- Division of Cardiology, UCLA School of Medicine, Los Angeles, California
| | - Aaron R Folsom
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, Minnesota
| | - Amit Khera
- Division of Cardiology, UT Southwestern Medical Center, Dallas, Texas
| | - Colby Ayers
- Division of Clinical Sciences, UT Southwestern Medical Center, Dallas, Texas
| | - Amir-Abbas Mahabadi
- University Clinic Essen, Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), Essen, Germany
| | - Nils Lehmann
- Institute of Medical Informatics, Biometry, and Epidemiology, University Clinic Essen, University of Duisburg, Essen, Germany
| | - Karl-Heinz Jöckel
- Institute of Medical Informatics, Biometry, and Epidemiology, University Clinic Essen, University of Duisburg, Essen, Germany
| | - Susanne Moebus
- Institute of Medical Informatics, Biometry, and Epidemiology, University Clinic Essen, University of Duisburg, Essen, Germany
| | - J Jeffrey Carr
- Department of Radiology and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Raimund Erbel
- University Clinic Essen, Institute for Medical Informatics, Biometry and Epidemiology (IMIBE), Essen, Germany
| | - Gregory L Burke
- Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| |
Collapse
|
37
|
Patel J, Al Rifai M, Blaha MJ, Budoff MJ, Post WS, Polak JF, Bluemke DA, Scheuner MT, Kronmal RA, Blumenthal RS, Nasir K, McEvoy JW. Coronary Artery Calcium Improves Risk Assessment in Adults With a Family History of Premature Coronary Heart Disease: Results From Multiethnic Study of Atherosclerosis. Circ Cardiovasc Imaging 2015; 8:e003186. [PMID: 26047825 DOI: 10.1161/circimaging.115.003186] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND The prognostic value of coronary artery calcium (CAC) or carotid intima-media thickness (CIMT) among asymptomatic adults with a family history (FH) of premature coronary heart disease is unclear. METHODS AND RESULTS Multiethnic Study of Atherosclerosis enrolled 6814 adults without known atherosclerotic cardiovascular disease (ASCVD). Hard ASCVD events were ascertained over a median follow-up of 10.2 years. We estimated adjusted-hazard ratios for CAC and CIMT categories using Cox regression, both within and across FH status groups. Improvement in discrimination with CAC or CIMT added to variables from the ASCVD pooled cohort equation was also evaluated using receiver-operating characteristic curve and likelihood ratio analysis. Of 6125 individuals (62±10 years; 47% men) who reported information on FH, 1262 (21%) had an FH of premature coronary heart disease. Among these, 104 hard ASCVD events occurred. Crude incidence rates (per 1000 person-years) for hard ASCVD were 4.4 for CAC, 0 (n=574; 46% of the sample); 8.8 for CAC, 1 to 99 (n=368); 14.9 for CAC, 100 to 399 (n=178); and 20.8 for CAC, ≥400 (n=142). Relative to CAC=0, adjusted hard ASCVD hazard ratios for each CAC category among persons with an FH were 1.64 (95% confidence interval, 0.94-2.87), 2.45 (1.31-4.58), and 2.80 (1.44-5.43), respectively. However, there was no increased adjusted hazard for hard ASCVD in high versus low CIMT categories. In participants with an FH of premature coronary heart disease, CAC improved discrimination of hard ASCVD events (P<0.001). However, CIMT did not discriminate ASCVD (P=0.70). CONCLUSIONS Nearly half of individuals reporting FH have zero CAC and may receive less net benefit from aspirin or statin therapy. Among persons with an FH, CAC is a robust marker of absolute and relative risk of ASCVD, whereas CIMT is not.
Collapse
Affiliation(s)
- Jaideep Patel
- From the Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD (J.P., M.A.R., M.J. Blaha, W.S.P., R.S.B., K.N., J.W.M.); Division of Internal Medicine, Virginia Commonwealth University Medical Center, Richmond (J.P.); Division of Cardiology, Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, CA (M.J. Budoff); Department of Radiology Cardiovascular Center, Tufts Medical Center, Boston, MA (J.F.P.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); Division of Medical Genetics, Department of Medicine, Veterans Administration, Greater Los Angeles Healthcare System, CA (M.T.S.); Department of Medicine, David Geffen School of Medicine at UCLA (M.T.S.); Collaborative Health Studies Coordinating Center, Department of Biostatistics, University of Washington, Seattle (R.A.K.); Center for Healthcare Advancement and Outcomes and Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami (K.N.); and the Departments of Medicine, Herbert Wertheim College of Medicine, and Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami (K.N.)
| | - Mahmoud Al Rifai
- From the Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD (J.P., M.A.R., M.J. Blaha, W.S.P., R.S.B., K.N., J.W.M.); Division of Internal Medicine, Virginia Commonwealth University Medical Center, Richmond (J.P.); Division of Cardiology, Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, CA (M.J. Budoff); Department of Radiology Cardiovascular Center, Tufts Medical Center, Boston, MA (J.F.P.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); Division of Medical Genetics, Department of Medicine, Veterans Administration, Greater Los Angeles Healthcare System, CA (M.T.S.); Department of Medicine, David Geffen School of Medicine at UCLA (M.T.S.); Collaborative Health Studies Coordinating Center, Department of Biostatistics, University of Washington, Seattle (R.A.K.); Center for Healthcare Advancement and Outcomes and Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami (K.N.); and the Departments of Medicine, Herbert Wertheim College of Medicine, and Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami (K.N.)
| | - Michael J Blaha
- From the Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD (J.P., M.A.R., M.J. Blaha, W.S.P., R.S.B., K.N., J.W.M.); Division of Internal Medicine, Virginia Commonwealth University Medical Center, Richmond (J.P.); Division of Cardiology, Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, CA (M.J. Budoff); Department of Radiology Cardiovascular Center, Tufts Medical Center, Boston, MA (J.F.P.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); Division of Medical Genetics, Department of Medicine, Veterans Administration, Greater Los Angeles Healthcare System, CA (M.T.S.); Department of Medicine, David Geffen School of Medicine at UCLA (M.T.S.); Collaborative Health Studies Coordinating Center, Department of Biostatistics, University of Washington, Seattle (R.A.K.); Center for Healthcare Advancement and Outcomes and Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami (K.N.); and the Departments of Medicine, Herbert Wertheim College of Medicine, and Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami (K.N.)
| | - Matthew J Budoff
- From the Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD (J.P., M.A.R., M.J. Blaha, W.S.P., R.S.B., K.N., J.W.M.); Division of Internal Medicine, Virginia Commonwealth University Medical Center, Richmond (J.P.); Division of Cardiology, Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, CA (M.J. Budoff); Department of Radiology Cardiovascular Center, Tufts Medical Center, Boston, MA (J.F.P.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); Division of Medical Genetics, Department of Medicine, Veterans Administration, Greater Los Angeles Healthcare System, CA (M.T.S.); Department of Medicine, David Geffen School of Medicine at UCLA (M.T.S.); Collaborative Health Studies Coordinating Center, Department of Biostatistics, University of Washington, Seattle (R.A.K.); Center for Healthcare Advancement and Outcomes and Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami (K.N.); and the Departments of Medicine, Herbert Wertheim College of Medicine, and Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami (K.N.)
| | - Wendy S Post
- From the Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD (J.P., M.A.R., M.J. Blaha, W.S.P., R.S.B., K.N., J.W.M.); Division of Internal Medicine, Virginia Commonwealth University Medical Center, Richmond (J.P.); Division of Cardiology, Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, CA (M.J. Budoff); Department of Radiology Cardiovascular Center, Tufts Medical Center, Boston, MA (J.F.P.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); Division of Medical Genetics, Department of Medicine, Veterans Administration, Greater Los Angeles Healthcare System, CA (M.T.S.); Department of Medicine, David Geffen School of Medicine at UCLA (M.T.S.); Collaborative Health Studies Coordinating Center, Department of Biostatistics, University of Washington, Seattle (R.A.K.); Center for Healthcare Advancement and Outcomes and Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami (K.N.); and the Departments of Medicine, Herbert Wertheim College of Medicine, and Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami (K.N.)
| | - Joseph F Polak
- From the Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD (J.P., M.A.R., M.J. Blaha, W.S.P., R.S.B., K.N., J.W.M.); Division of Internal Medicine, Virginia Commonwealth University Medical Center, Richmond (J.P.); Division of Cardiology, Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, CA (M.J. Budoff); Department of Radiology Cardiovascular Center, Tufts Medical Center, Boston, MA (J.F.P.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); Division of Medical Genetics, Department of Medicine, Veterans Administration, Greater Los Angeles Healthcare System, CA (M.T.S.); Department of Medicine, David Geffen School of Medicine at UCLA (M.T.S.); Collaborative Health Studies Coordinating Center, Department of Biostatistics, University of Washington, Seattle (R.A.K.); Center for Healthcare Advancement and Outcomes and Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami (K.N.); and the Departments of Medicine, Herbert Wertheim College of Medicine, and Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami (K.N.)
| | - David A Bluemke
- From the Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD (J.P., M.A.R., M.J. Blaha, W.S.P., R.S.B., K.N., J.W.M.); Division of Internal Medicine, Virginia Commonwealth University Medical Center, Richmond (J.P.); Division of Cardiology, Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, CA (M.J. Budoff); Department of Radiology Cardiovascular Center, Tufts Medical Center, Boston, MA (J.F.P.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); Division of Medical Genetics, Department of Medicine, Veterans Administration, Greater Los Angeles Healthcare System, CA (M.T.S.); Department of Medicine, David Geffen School of Medicine at UCLA (M.T.S.); Collaborative Health Studies Coordinating Center, Department of Biostatistics, University of Washington, Seattle (R.A.K.); Center for Healthcare Advancement and Outcomes and Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami (K.N.); and the Departments of Medicine, Herbert Wertheim College of Medicine, and Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami (K.N.)
| | - Maren T Scheuner
- From the Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD (J.P., M.A.R., M.J. Blaha, W.S.P., R.S.B., K.N., J.W.M.); Division of Internal Medicine, Virginia Commonwealth University Medical Center, Richmond (J.P.); Division of Cardiology, Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, CA (M.J. Budoff); Department of Radiology Cardiovascular Center, Tufts Medical Center, Boston, MA (J.F.P.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); Division of Medical Genetics, Department of Medicine, Veterans Administration, Greater Los Angeles Healthcare System, CA (M.T.S.); Department of Medicine, David Geffen School of Medicine at UCLA (M.T.S.); Collaborative Health Studies Coordinating Center, Department of Biostatistics, University of Washington, Seattle (R.A.K.); Center for Healthcare Advancement and Outcomes and Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami (K.N.); and the Departments of Medicine, Herbert Wertheim College of Medicine, and Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami (K.N.)
| | - Richard A Kronmal
- From the Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD (J.P., M.A.R., M.J. Blaha, W.S.P., R.S.B., K.N., J.W.M.); Division of Internal Medicine, Virginia Commonwealth University Medical Center, Richmond (J.P.); Division of Cardiology, Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, CA (M.J. Budoff); Department of Radiology Cardiovascular Center, Tufts Medical Center, Boston, MA (J.F.P.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); Division of Medical Genetics, Department of Medicine, Veterans Administration, Greater Los Angeles Healthcare System, CA (M.T.S.); Department of Medicine, David Geffen School of Medicine at UCLA (M.T.S.); Collaborative Health Studies Coordinating Center, Department of Biostatistics, University of Washington, Seattle (R.A.K.); Center for Healthcare Advancement and Outcomes and Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami (K.N.); and the Departments of Medicine, Herbert Wertheim College of Medicine, and Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami (K.N.)
| | - Roger S Blumenthal
- From the Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD (J.P., M.A.R., M.J. Blaha, W.S.P., R.S.B., K.N., J.W.M.); Division of Internal Medicine, Virginia Commonwealth University Medical Center, Richmond (J.P.); Division of Cardiology, Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, CA (M.J. Budoff); Department of Radiology Cardiovascular Center, Tufts Medical Center, Boston, MA (J.F.P.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); Division of Medical Genetics, Department of Medicine, Veterans Administration, Greater Los Angeles Healthcare System, CA (M.T.S.); Department of Medicine, David Geffen School of Medicine at UCLA (M.T.S.); Collaborative Health Studies Coordinating Center, Department of Biostatistics, University of Washington, Seattle (R.A.K.); Center for Healthcare Advancement and Outcomes and Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami (K.N.); and the Departments of Medicine, Herbert Wertheim College of Medicine, and Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami (K.N.)
| | - Khurram Nasir
- From the Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD (J.P., M.A.R., M.J. Blaha, W.S.P., R.S.B., K.N., J.W.M.); Division of Internal Medicine, Virginia Commonwealth University Medical Center, Richmond (J.P.); Division of Cardiology, Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, CA (M.J. Budoff); Department of Radiology Cardiovascular Center, Tufts Medical Center, Boston, MA (J.F.P.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); Division of Medical Genetics, Department of Medicine, Veterans Administration, Greater Los Angeles Healthcare System, CA (M.T.S.); Department of Medicine, David Geffen School of Medicine at UCLA (M.T.S.); Collaborative Health Studies Coordinating Center, Department of Biostatistics, University of Washington, Seattle (R.A.K.); Center for Healthcare Advancement and Outcomes and Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami (K.N.); and the Departments of Medicine, Herbert Wertheim College of Medicine, and Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami (K.N.)
| | - John W McEvoy
- From the Johns Hopkins Ciccarone Center for the Prevention of Heart Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD (J.P., M.A.R., M.J. Blaha, W.S.P., R.S.B., K.N., J.W.M.); Division of Internal Medicine, Virginia Commonwealth University Medical Center, Richmond (J.P.); Division of Cardiology, Los Angeles Biomedical Research Institute at Harbor-UCLA, Torrance, CA (M.J. Budoff); Department of Radiology Cardiovascular Center, Tufts Medical Center, Boston, MA (J.F.P.); Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center, Bethesda, MD (D.A.B.); Division of Medical Genetics, Department of Medicine, Veterans Administration, Greater Los Angeles Healthcare System, CA (M.T.S.); Department of Medicine, David Geffen School of Medicine at UCLA (M.T.S.); Collaborative Health Studies Coordinating Center, Department of Biostatistics, University of Washington, Seattle (R.A.K.); Center for Healthcare Advancement and Outcomes and Miami Cardiac and Vascular Institute, Baptist Health South Florida, Miami (K.N.); and the Departments of Medicine, Herbert Wertheim College of Medicine, and Epidemiology, Robert Stempel College of Public Health, Florida International University, Miami (K.N.).
| |
Collapse
|
38
|
Zafrir B, Azaiza M, Gaspar T, Dobrecky-Mery I, Azencot M, Lewis BS, Rubinshtein R, Halon DA. Low cardiorespiratory fitness and coronary artery calcification: Complementary cardiovascular risk predictors in asymptomatic type 2 diabetics. Atherosclerosis 2015; 241:634-40. [PMID: 26117400 DOI: 10.1016/j.atherosclerosis.2015.06.020] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/19/2015] [Revised: 06/01/2015] [Accepted: 06/16/2015] [Indexed: 01/29/2023]
Abstract
BACKGROUND Despite its well-established prognostic value, cardiorespiratory fitness (CRF) is not incorporated routinely in risk assessment tools. Whether low CRF provides additional predictive information in asymptomatic type 2 diabetics beyond conventional risk scores and coronary artery calcification (CAC) is unclear. METHODS We studied 600 type 2 diabetics aged 55-74 years without known coronary heart disease. CRF was quantified in metabolic equivalents (METs) by maximal treadmill testing and categorized as tertiles of percent predicted METs (ppMETs) achieved. CAC was calculated by non-enhanced computed tomography scans. The individual and joint association of both measures with an outcome event of all-cause mortality, myocardial infarction or stroke, was determined over a mean follow-up period of 80 ± 16 months. RESULTS There were 72 (12%) events during follow-up. Low CRF was independently associated with event risk after adjustment for traditional risk factors and CAC (HR 2.25, 95% CI 1.41-3.57, p = 0.001). CRF (unfit/fit) allowed further outcome discrimination both amongst diabetics with low CAC scores (9.5% versus 2.0% event rate), and amongst diabetics with high CAC scores (23.5% versus 12.4% event rate), p < 0.001. The addition of CRF to a model comprising UKPDS and CAC scores improved the area under the curve for event prediction from 0.66 to 0.71, p = 0.03, with a positive continuous net reclassification improvement (NRI) of 0.451, p = 0.002. CONCLUSIONS CRF, quantified by ppMETs, provided independent prognostic information which was additive to CAC. Low CRF may identify asymptomatic diabetic subjects at higher risk for all-cause mortality, myocardial infarction or stroke, despite low CAC.
Collapse
Affiliation(s)
- Barak Zafrir
- Department of Cardiovascular Medicine, Lady Davis Carmel Medical Center and The Ruth and Bruce Rappaport School of Medicine, Technion-Israel Institute of Technology, Haifa, Israel.
| | - Mohanad Azaiza
- Department of Cardiovascular Medicine, Lady Davis Carmel Medical Center and The Ruth and Bruce Rappaport School of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Tamar Gaspar
- Department of Radiology, Lady Davis Carmel Medical Center, Israel
| | - Idit Dobrecky-Mery
- Department of Cardiovascular Medicine, Lady Davis Carmel Medical Center and The Ruth and Bruce Rappaport School of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Mali Azencot
- Department of Radiology, Lady Davis Carmel Medical Center, Israel
| | - Basil S Lewis
- Department of Cardiovascular Medicine, Lady Davis Carmel Medical Center and The Ruth and Bruce Rappaport School of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - Ronen Rubinshtein
- Department of Cardiovascular Medicine, Lady Davis Carmel Medical Center and The Ruth and Bruce Rappaport School of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| | - David A Halon
- Department of Cardiovascular Medicine, Lady Davis Carmel Medical Center and The Ruth and Bruce Rappaport School of Medicine, Technion-Israel Institute of Technology, Haifa, Israel
| |
Collapse
|
39
|
Mehta PK, Wei J, Wenger NK. Ischemic heart disease in women: a focus on risk factors. Trends Cardiovasc Med 2015; 25:140-51. [PMID: 25453985 PMCID: PMC4336825 DOI: 10.1016/j.tcm.2014.10.005] [Citation(s) in RCA: 104] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2014] [Revised: 10/08/2014] [Accepted: 10/09/2014] [Indexed: 02/08/2023]
Abstract
Heart disease remains a major contributor to morbidity and mortality in women in the United States and worldwide. This review highlights known and emerging risk factors for ischemic heart disease (IHD) in women. Traditional Framingham risk factors such as hypertension, hyperlipidemia, diabetes, smoking, as well as lifestyle habits such as unhealthy diet and sedentary lifestyle are all modifiable. Health care providers should be aware of emerging cardiac risk factors in women such as adverse pregnancy outcomes, systemic autoimmune disorders, obstructive sleep apnea, and radiation-induced heart disease; psychosocial factors such as mental stress, depression, anxiety, low socioeconomic status, and work and marital stress play an important role in IHD in women. Appropriate recognition and management of an array of risk factors is imperative given the growing burden of IHD and need to deliver cost-effective, quality care for women.
Collapse
Affiliation(s)
- Puja K Mehta
- Barbra Streisand Women׳s Heart Center, Cedars-Sinai Heart Institute, 127S San Vicente Boulevard, A 3212, Los Angeles, CA 90048.
| | - Janet Wei
- Barbra Streisand Women׳s Heart Center, Cedars-Sinai Heart Institute, 127S San Vicente Boulevard, A 3212, Los Angeles, CA 90048
| | - Nanette K Wenger
- Division of Cardiology, Department of Medicine, Emory University School of Medicine, Atlanta, GA
| |
Collapse
|
40
|
Hecht HS. The Sins of the Fathers (and Mothers) and the 2013 Guidelines. JACC Cardiovasc Imaging 2014; 7:687-9. [DOI: 10.1016/j.jcmg.2014.04.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2014] [Revised: 04/25/2014] [Accepted: 04/29/2014] [Indexed: 11/24/2022]
|