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Trimarchi G, Pizzino F, Paradossi U, Gueli IA, Palazzini M, Gentile P, Di Spigno F, Ammirati E, Garascia A, Tedeschi A, Aschieri D. Charting the Unseen: How Non-Invasive Imaging Could Redefine Cardiovascular Prevention. J Cardiovasc Dev Dis 2024; 11:245. [PMID: 39195153 DOI: 10.3390/jcdd11080245] [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: 07/11/2024] [Revised: 08/02/2024] [Accepted: 08/03/2024] [Indexed: 08/29/2024] Open
Abstract
Cardiovascular diseases (CVDs) remain a major global health challenge, leading to significant morbidity and mortality while straining healthcare systems. Despite progress in medical treatments for CVDs, their increasing prevalence calls for a shift towards more effective prevention strategies. Traditional preventive approaches have centered around lifestyle changes, risk factors management, and medication. However, the integration of imaging methods offers a novel dimension in early disease detection, risk assessment, and ongoing monitoring of at-risk individuals. Imaging techniques such as supra-aortic trunks ultrasound, echocardiography, cardiac magnetic resonance, and coronary computed tomography angiography have broadened our understanding of the anatomical and functional aspects of cardiovascular health. These techniques enable personalized prevention strategies by providing detailed insights into the cardiac and vascular states, significantly enhancing our ability to combat the progression of CVDs. This review focuses on amalgamating current findings, technological innovations, and the impact of integrating advanced imaging modalities into cardiovascular risk prevention, aiming to offer a comprehensive perspective on their potential to transform preventive cardiology.
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Affiliation(s)
- Giancarlo Trimarchi
- Department of Clinical and Experimental Medicine, Cardiology Unit, University of Messina, 98124 Messina, Italy
- Interdisciplinary Center for Health Sciences, Scuola Superiore Sant'Anna, 56127 Pisa, Italy
| | - Fausto Pizzino
- Cardiology Unit, Heart Centre, Fondazione Gabriele Monasterio-Regione Toscana, 54100 Massa, Italy
| | - Umberto Paradossi
- Cardiology Unit, Heart Centre, Fondazione Gabriele Monasterio-Regione Toscana, 54100 Massa, Italy
| | - Ignazio Alessio Gueli
- Cardiology Unit, Heart Centre, Fondazione Gabriele Monasterio-Regione Toscana, 54100 Massa, Italy
| | - Matteo Palazzini
- "De Gasperis" Cardio Center, Niguarda Hospital, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy
| | - Piero Gentile
- "De Gasperis" Cardio Center, Niguarda Hospital, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy
| | - Francesco Di Spigno
- Cardiology Unit of Emergency Department, Guglielmo da Saliceto Hospital, 29121 Piacenza, Italy
| | - Enrico Ammirati
- "De Gasperis" Cardio Center, Niguarda Hospital, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy
| | - Andrea Garascia
- "De Gasperis" Cardio Center, Niguarda Hospital, ASST Grande Ospedale Metropolitano Niguarda, 20162 Milan, Italy
| | - Andrea Tedeschi
- Cardiology Unit of Emergency Department, Guglielmo da Saliceto Hospital, 29121 Piacenza, Italy
| | - Daniela Aschieri
- Cardiology Unit of Emergency Department, Guglielmo da Saliceto Hospital, 29121 Piacenza, Italy
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Dienhart C, Aigner E, Iglseder B, Frey V, Gostner I, Langthaler P, Paulweber B, Trinka E, Wernly B. Investigating the Added Value of Beck's Depression Inventory in Atherosclerosis Prediction: Lessons from Paracelsus 10,000. J Clin Med 2024; 13:4492. [PMID: 39124759 PMCID: PMC11312733 DOI: 10.3390/jcm13154492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2024] [Revised: 07/19/2024] [Accepted: 07/29/2024] [Indexed: 08/12/2024] Open
Abstract
Background: Depression is the most common mental illness worldwide and generates an enormous health and economic burden. Furthermore, it is known to be associated with an elevated risk of arteriosclerotic cardiovascular diseases (ASCVD), particularly stroke. However, it is not a factor reflected in many ASCVD risk models, including SCORE2. Thus, we analysed the relationship between depression, ASCVD and SCORE2 in our cohort. Methods: We analysed 9350 subjects from the Paracelsus 10,000 cohort, who underwent both a carotid artery ultrasound and completed a Beck Depression Inventory (BDI) screening. Patients were categorised binomially based on the BDI score. Atherosclerotic carotid plaque or absence was dichotomised for logistic regression modelling. Odds ratios and adjusted relative risks were calculated using Stata. Results: Subjects with an elevated BDI (≥14) had higher odds for carotid plaques compared to subjects with normal BDI, especially after adjusting for classical risk factors included in SCORE2 (1.21; 95%CI 1.03-1.43, p = 0.023). The adjusted relative risk for plaques was also increased (1.09; 95%CI 1.01-1.18, p = 0.021). Subgroup analysis showed an increased odds of plaques with increases in depressive symptoms, particularly in women and patients ≤55 yrs. Conclusions: In our cohort, the BDI score is associated with subclinical atherosclerosis beyond classical risk factors. Thus, depression might be an independent risk factor which may improve risk stratification if considered in ASCVD risk prediction models, such as SCORE2. Furthermore, reminding clinicians to take mental health into consideration to identify individuals at increased atherosclerosis risk may provide added opportunities to address measures which can reduce the risk of ASCVD.
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Affiliation(s)
- Christiane Dienhart
- Department of Internal Medicine I, Paracelsus Medical University, 5020 Salzburg, Austria; (E.A.); (B.P.)
| | - Elmar Aigner
- Department of Internal Medicine I, Paracelsus Medical University, 5020 Salzburg, Austria; (E.A.); (B.P.)
| | - Bernhard Iglseder
- Department of Geriatric Medicine, Christian Doppler University Hospital, Paracelsus Medical University, 5020 Salzburg, Austria;
| | - Vanessa Frey
- Department of Neurology, Christian Doppler University Hospital, Paracelsus Medical University and Centre for Cognitive Neuroscience, Affiliated Member of the European Reference Network EpiCARE, 5020 Salzburg, Austria; (V.F.); (I.G.); (P.L.); (E.T.)
| | - Isabella Gostner
- Department of Neurology, Christian Doppler University Hospital, Paracelsus Medical University and Centre for Cognitive Neuroscience, Affiliated Member of the European Reference Network EpiCARE, 5020 Salzburg, Austria; (V.F.); (I.G.); (P.L.); (E.T.)
| | - Patrick Langthaler
- Department of Neurology, Christian Doppler University Hospital, Paracelsus Medical University and Centre for Cognitive Neuroscience, Affiliated Member of the European Reference Network EpiCARE, 5020 Salzburg, Austria; (V.F.); (I.G.); (P.L.); (E.T.)
- Department of Artificial Intelligence and Human Interfaces, Paris Lodron University of Salzburg, 5020 Salzburg, Austria
- Team Biostatistics and Big Medical Data, IDA Lab Salzburg, Paracelsus Medical University Salzburg, 5020 Salzburg, Austria
| | - Bernhard Paulweber
- Department of Internal Medicine I, Paracelsus Medical University, 5020 Salzburg, Austria; (E.A.); (B.P.)
- Obesity Research Unit, Paracelsus Medical University, 5020 Salzburg, Austria
| | - Eugen Trinka
- Department of Neurology, Christian Doppler University Hospital, Paracelsus Medical University and Centre for Cognitive Neuroscience, Affiliated Member of the European Reference Network EpiCARE, 5020 Salzburg, Austria; (V.F.); (I.G.); (P.L.); (E.T.)
- Neuroscience Institute, Christian Doppler University Hospital, Paracelsus Medical University and Centre for Cognitive Neuroscience, Affiliated Member of the European Reference Network EpiCARE, 5020 Salzburg, Austria
- Department of Public Health, Health Services Research and Health Technology Assessment, UMIT—University for Health Sciences, Medical Informatics and Technology, 6060 Hall in Tirol, Austria
| | - Bernhard Wernly
- Department of Internal Medicine I, Oberndorf Hospital, 5110 Salzburg, Austria;
- Institute for General and Preventive Medicine, Paracelsus Medical University, 5020 Salzburg, Austria
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Chou CL, Liu CC, Wu TW, Cheng CF, Lu SX, Wu YJ, Wang LY. Predictability of Cardiovascular Risk Scores for Carotid Atherosclerosis in Community-Dwelling Middle-Aged and Elderly Adults. J Clin Med 2024; 13:2563. [PMID: 38731092 PMCID: PMC11084830 DOI: 10.3390/jcm13092563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 04/16/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
Background: The assessment of future risk of cardiovascular diseases (CVD) is strongly recommended for all asymptomatic adults without CVD history. Carotid atherosclerosis (CA) is a preclinical phenotype of CVDs. However, data on estimated future CVD risks with respect to preclinical atherosclerosis are limited. This community-based study aimed to assess the relationships between predicted CVD risks and CA. Methods: We enrolled 3908 subjects aged 40-74 years without CVD history and calculated their 10-year CVD risks using the Framingham Risk Score (FRS) and the Pooled Cohort Equations (PCE). Carotid plaque (CP) at the extracranial carotid arteries was determined by high-resolution B-mode ultrasonography and further classified into mild or advanced CA. Results: The means of FRS for CP-negative and mild and advanced CA were 9.0%, 14.4%, and 22.1%, respectively (p-value < 0.0001). The corresponding values for PCE score were 4.8%, 8.8%, and 15.0%, respectively (p-value < 0.0001). The odds ratios (ORs) of having CP per 5.0% increase in FRS and PCE score were 1.23 (95% CI, 1.19-1.28) and 1.36 (95% CI, 1.28-1.44), respectively. The corresponding values of having advanced CA were 1.24 (95% CI, 1.19-1.29) and 1.38 (95% CI, 1.30-1.48), respectively. Among the models of FRS or PCE plus other conventional CVD risk factors, the FRS + age model had the highest discrimination for the presence of CP (AUROC, 0.7533; 95% CI, 0.7375-0.7691) as well as for the presence of advanced CA (AUROC, 0.8034; 95% CI, 0.7835-0.8232). The calibration of the FRS + age models for the presences of CP and advanced CA was excellent (χ2 = 8.45 [p = 0.49] and 10.49 [p = 0.31], respectively). Conclusions: Estimated future CVD risks were significantly correlated with risks of having CA. Both FRS and PCE had good discrimination for the presences of CP and advanced CA.
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Affiliation(s)
- Chao-Liang Chou
- MacKay Medical College, New Taipei City 252, Taiwan; (C.-L.C.)
- MacKay Memorial Hospital, Taipei City 104, Taiwan
| | | | - Tzu-Wei Wu
- MacKay Medical College, New Taipei City 252, Taiwan; (C.-L.C.)
| | | | - Shu-Xin Lu
- MacKay Memorial Hospital, Taipei City 104, Taiwan
| | - Yih-Jer Wu
- MacKay Medical College, New Taipei City 252, Taiwan; (C.-L.C.)
- MacKay Memorial Hospital, Taipei City 104, Taiwan
| | - Li-Yu Wang
- MacKay Medical College, New Taipei City 252, Taiwan; (C.-L.C.)
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Picano E, Pierard L, Peteiro J, Djordjevic-Dikic A, Sade LE, Cortigiani L, Van De Heyning CM, Celutkiene J, Gaibazzi N, Ciampi Q, Senior R, Neskovic AN, Henein M. The clinical use of stress echocardiography in chronic coronary syndromes and beyond coronary artery disease: a clinical consensus statement from the European Association of Cardiovascular Imaging of the ESC. Eur Heart J Cardiovasc Imaging 2024; 25:e65-e90. [PMID: 37798126 DOI: 10.1093/ehjci/jead250] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 09/29/2023] [Indexed: 10/07/2023] Open
Abstract
Since the 2009 publication of the stress echocardiography expert consensus of the European Association of Echocardiography, and after the 2016 advice of the American Society of Echocardiography-European Association of Cardiovascular Imaging for applications beyond coronary artery disease, new information has become available regarding stress echo. Until recently, the assessment of regional wall motion abnormality was the only universally practiced step of stress echo. In the state-of-the-art ABCDE protocol, regional wall motion abnormality remains the main step A, but at the same time, regional perfusion using ultrasound-contrast agents may be assessed. Diastolic function and pulmonary B-lines are assessed in step B; left ventricular contractile and preload reserve with volumetric echocardiography in step C; Doppler-based coronary flow velocity reserve in the left anterior descending coronary artery in step D; and ECG-based heart rate reserve in non-imaging step E. These five biomarkers converge, conceptually and methodologically, in the ABCDE protocol allowing comprehensive risk stratification of the vulnerable patient with chronic coronary syndromes. The present document summarizes current practice guidelines recommendations and training requirements and harmonizes the clinical guidelines of the European Society of Cardiology in many diverse cardiac conditions, from chronic coronary syndromes to valvular heart disease. The continuous refinement of imaging technology and the diffusion of ultrasound-contrast agents improve image quality, feasibility, and reader accuracy in assessing wall motion and perfusion, left ventricular volumes, and coronary flow velocity. Carotid imaging detects pre-obstructive atherosclerosis and improves risk prediction similarly to coronary atherosclerosis. The revolutionary impact of artificial intelligence on echocardiographic image acquisition and analysis makes stress echo more operator-independent and objective. Stress echo has unique features of low cost, versatility, and universal availability. It does not need ionizing radiation exposure and has near-zero carbon dioxide emissions. Stress echo is a convenient and sustainable choice for functional testing within and beyond coronary artery disease.
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Affiliation(s)
- Eugenio Picano
- Institute of Clinical Physiology of the National Research Council, CNR, Via Moruzzi 1, 56124 Pisa, Italy
| | - Luc Pierard
- University of Liège, Walloon Region, Belgium
| | - Jesus Peteiro
- CHUAC-Complexo Hospitalario Universitario A Coruna, CIBER-CV, University of A Coruna, 15070 La Coruna, Spain
| | - Ana Djordjevic-Dikic
- Cardiology Clinic, University Clinical Centre of Serbia, Medical School, University of Belgrade, 11000 Belgrade, Serbia
| | - Leyla Elif Sade
- University of Pittsburgh Medical Center UPMC Heart & Vascular Institute, Pittsburgh, PA, USA
| | | | | | - Jelena Celutkiene
- Centre of Cardiology and Angiology, Clinic of Cardiac and Vascular Diseases, Faculty of Medicine, Institute of Clinical Medicine, Vilnius University, LT-03101 Vilnius, Lithuania
| | - Nicola Gaibazzi
- Cardiology Department, Parma University Hospital, 43100 Parma, Italy
| | - Quirino Ciampi
- Cardiology Division, Fatebenefratelli Hospital, 82100 Benevento, Italy
| | - Roxy Senior
- Imperial College, UK
- Royal Brompton Hospital Imperial College London, UK
- Northwick Park Hospital, London, UK
| | - Aleksandar N Neskovic
- Department of Cardiology, University Clinical Hospital Center Zemun-Belgrade Faculty of Medicine, University of Belgrade, Serbia
| | - Michael Henein
- Department of Public Health and Clinical Medicine Units: Section of Medicine, Umea University, Umea, Sweden
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Del Giorno R, Reveilhac M, Stauffer I, Berthoud M, Mazzolai L, Depairon M, Darioli R. A new score for improving cardiovascular risk prediction and prevention. Nutr Metab Cardiovasc Dis 2023; 33:1546-1555. [PMID: 37270305 DOI: 10.1016/j.numecd.2023.04.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Revised: 04/24/2023] [Accepted: 04/26/2023] [Indexed: 06/05/2023]
Abstract
BACKGROUND AND AIMS The ultrasonographic detection of subclinical atherosclerosis (scATS) at carotid and femoral vascular sites using the atherosclerosis burden score (ABS) improves the risk stratification for atherosclerotic cardiovascular disease beyond traditional cardiovascular (CV) risk factors. However, its predictive value should be further enhanced. We hypothesize that combining the ABS and the Framingham risk score (FHRS) to create a new score called the FHRABS will improve CV risk prediction and prevention. We aim to investigate if incorporating the ABS into the FHRS improved CV risk prediction in a primary prevention setting. METHODS AND RESULTS 1024 patients were included in this prospective observational cohort study. Carotid and femoral plaques were ultra-sonographic detected. Major incident cardiovascular events (MACEs) were collected. The receiver operating characteristic curve (ROC-AUC) and Youden's index (Ysi) were used to compare the incremental contributions of each marker to predict MACEs. After a median follow-up of 6.0 ± 3.3 years, 60 primary MACEs (5.8%) occurred. The ROC-AUC for MACEs prediction was significantly higher for the FHRABS (0.74, p < 0.024) and for the ABS (0.71, p < 0.013) compared to the FHRS alone (0.71, p < 0.46). Ysi or the FHRABS (42%, p < 0.001) and ABS (37%, p < 0.001) than for the FHRS (31%). Cox proportional-hazard models showed that the CV predictive performance of FHRS was significantly enhanced by the ABS (10.8 vs. 5.5, p < 0.001) and FHRABS (HR 23.30 vs. 5.50, p < 0.001). CONCLUSIONS FHRABS is a useful score for improving CV risk stratification and detecting patients at high risk of future MACEs. FHRABS offers a simple-to-use, and radiation-free score with which to detect scATS in order to promote personalized CV prevention.
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Affiliation(s)
- Rosaria Del Giorno
- Division of Angiology, Heart and Vessel Department, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
| | - Maud Reveilhac
- Institute of Social Sciences, University of Lausanne, Lausanne, Switzerland.
| | - Iris Stauffer
- Division of Angiology, Heart and Vessel Department, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
| | - Maud Berthoud
- Division of Angiology, Heart and Vessel Department, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
| | - Lucia Mazzolai
- Division of Angiology, Heart and Vessel Department, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
| | - Michèle Depairon
- Division of Angiology, Heart and Vessel Department, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland.
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Kumar K, Seetharam K, Rani T, Mir P, Mir T, Shetty V, Shani J. Evolution of Stress Echocardiogram in the Era of CT Angiography. Cureus 2023; 15:e39501. [PMID: 37378169 PMCID: PMC10292127 DOI: 10.7759/cureus.39501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/21/2023] [Indexed: 06/29/2023] Open
Abstract
The ideal diagnostic modality for acute chest pain is a highly debated topic in the cardiovascular community. With the rapid rise of coronary computed tomography angiography (CTA) and the fall of functional testing, stress echocardiography (SE) is at a delicate crossroads. Though there are many advantages of coronary CTA, it is not without its flaws. The exact realm of SE needs to be clearly defined, as well as which patients need diagnostic testing. The emergence of additional parameters will propel the evolution of modern SE. In this review article, we explore the role of SE, guidelines, comparison of SE versus CTA, and additional parameters in the coronary CTA era.
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Affiliation(s)
- Kelash Kumar
- Internal Medicine, Maimonides Medical Center, New York, USA
| | | | - Teesha Rani
- Medicine and Surgery, Ziauddin University, Karachi, PAK
| | - Parvez Mir
- Internal Medicine and Pulmonology, Wyckoff Heights Medical Center, New York, USA
| | - Tanveer Mir
- Internal Medicine, Wyckoff Heights Medical Center, New York, USA
| | - Vijay Shetty
- Internal Medicine and Cardiology, Maimonides Medical Center, New York, USA
| | - Jacob Shani
- Cardiology, Maimonides Medical Center, New York, USA
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Gaibazzi N, Tuttolomondo D, Guaricci AI, De Marco F, Pontone G. Stress-echocardiography or coronary computed tomography in suspected chronic coronary syndrome after the 2019 European Guidelines? A practical guide. J Cardiovasc Med (Hagerstown) 2022; 23:12-21. [PMID: 34366402 DOI: 10.2459/jcm.0000000000001235] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Stress-echocardiography can rightly be considered one of the champions of cardiac functional imaging, thanks to its real-time imaging, high temporal resolution, high safety and very low cost. When stress-echocardiography is performed at top technical quality, hence taking advantage of ultrasound contrast media for endocardial border delineation at least for suboptimal cases, subjectivity is minimized, and with the routine use of coronary flow reserve measurement (left anterior descending coronary artery, stress/rest ratio reduced or normal, i.e. <>2.0) diagnostic sensitivity is strengthened. The true competitor of any type of functional imaging, stress-echocardiography included, is nowadays coronary computed tomography angiography, which is instead a diagnostic method directly, noninvasively assessing coronary anatomy, apparently the holy grail for any cardiologist. The new 2019 Guidelines on chronic coronary syndrome of the European Society of Cardiology change the existing landscape and clinical practice, while they probably cannot clarify which type of test, functional or anatomic, should be first chosen in different clinical scenarios of suspected chronic coronary syndrome. We review the existing data and the authors' personal view in order to assess how functional stress-echocardiography compares with coronary computed tomography angiography regarding three main aspects: diagnosis of coronary artery disease, guidance of therapy (coronary revascularization versus medical therapy) and risk stratification.
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Affiliation(s)
| | | | | | - Federico De Marco
- Department of Clinical and Interventional Cardiology, IRCCS Policlinico San Donato, San Donato Milanese
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Kabłak-Ziembicka A, Przewłocki T. Clinical Significance of Carotid Intima-Media Complex and Carotid Plaque Assessment by Ultrasound for the Prediction of Adverse Cardiovascular Events in Primary and Secondary Care Patients. J Clin Med 2021; 10:4628. [PMID: 34682751 PMCID: PMC8538659 DOI: 10.3390/jcm10204628] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Revised: 10/03/2021] [Accepted: 10/05/2021] [Indexed: 12/15/2022] Open
Abstract
Recently published recommendations from the American Society of Echocardiography on 'Carotid Arterial Plaque Assessment by Ultrasound for the Characterization of Atherosclerosis and Evaluation of Cardiovascular Risk' provoked discussion once more on the potential clinical applications of carotid intima-media complex thickness (CIMT) and carotid plaque assessment in the context of cardiovascular risk in both primary and secondary care patients. This review paper addresses key issues and milestones regarding indications, assessment, technical aspects, recommendations, and interpretations of CIMT and carotid plaque findings. We discuss lacks of evidence, limitations, and possible future directions.
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Affiliation(s)
- Anna Kabłak-Ziembicka
- Department of Interventional Cardiology, Institute of Cardiology, Jagiellonian University Medical College, 31-202 Krakow, Poland
- Noninvasive Cardiovascular Laboratory, John Paul II Hospital, Prądnicka 80, 31-202 Krakow, Poland
| | - Tadeusz Przewłocki
- Department of Cardiac and Vascular Diseases, Institute of Cardiology, Jagiellonian University Medical College, John Paul II Hospital, 31-202 Krakow, Poland;
- Department of Interventional Cardiology, John Paul II Hospital, Prądnicka 80, 31-202 Krakow, Poland
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9
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Picano E, Ciampi Q, Cortigiani L, Arruda-Olson AM, Borguezan-Daros C, de Castro e Silva Pretto JL, Cocchia R, Bossone E, Merli E, Kane GC, Varga A, Agoston G, Scali MC, Morrone D, Simova I, Samardjieva M, Boshchenko A, Ryabova T, Vrublevsky A, Palinkas A, Palinkas ED, Sepp R, Torres MAR, Villarraga HR, Preradović TK, Citro R, Amor M, Mosto H, Salamè M, Leeson P, Mangia C, Gaibazzi N, Tuttolomondo D, Prota C, Peteiro J, Van De Heyning CM, D’Andrea A, Rigo F, Nikolic A, Ostojic M, Lowenstein J, Arbucci R, Haber DML, Merlo PM, Wierzbowska-Drabik K, Kasprzak JD, Haberka M, Camarozano AC, Ratanasit N, Mori F, D’Alfonso MG, Tassetti L, Milazzo A, Olivotto I, Marchi A, Rodriguez-Zanella H, Zagatina A, Padang R, Dekleva M, Djordievic-Dikic A, Boskovic N, Tesic M, Giga V, Beleslin B, Di Salvo G, Lorenzoni V, Cameli M, Mandoli GE, Bombardini T, Caso P, Celutkiene J, Barbieri A, Benfari G, Bartolacelli Y, Malagoli A, Bursi F, Mantovani F, Villari B, Russo A, De Nes M, Carpeggiani C, Monte I, Re F, Cotrim C, Bilardo G, Saad AK, Karuzas A, Matuliauskas D, Colonna P, Antonini-Canterin F, Pepi M, Pellikka PA. Stress Echo 2030: The Novel ABCDE-(FGLPR) Protocol to Define the Future of Imaging. J Clin Med 2021; 10:3641. [PMID: 34441937 PMCID: PMC8397117 DOI: 10.3390/jcm10163641] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 08/12/2021] [Accepted: 08/13/2021] [Indexed: 02/06/2023] Open
Abstract
With stress echo (SE) 2020 study, a new standard of practice in stress imaging was developed and disseminated: the ABCDE protocol for functional testing within and beyond CAD. ABCDE protocol was the fruit of SE 2020, and is the seed of SE 2030, which is articulated in 12 projects: 1-SE in coronary artery disease (SECAD); 2-SE in diastolic heart failure (SEDIA); 3-SE in hypertrophic cardiomyopathy (SEHCA); 4-SE post-chest radiotherapy and chemotherapy (SERA); 5-Artificial intelligence SE evaluation (AI-SEE); 6-Environmental stress echocardiography and air pollution (ESTER); 7-SE in repaired Tetralogy of Fallot (SETOF); 8-SE in post-COVID-19 (SECOV); 9: Recovery by stress echo of conventionally unfit donor good hearts (RESURGE); 10-SE for mitral ischemic regurgitation (SEMIR); 11-SE in valvular heart disease (SEVA); 12-SE for coronary vasospasm (SESPASM). The study aims to recruit in the next 5 years (2021-2025) ≥10,000 patients followed for ≥5 years (up to 2030) from ≥20 quality-controlled laboratories from ≥10 countries. In this COVID-19 era of sustainable health care delivery, SE2030 will provide the evidence to finally recommend SE as the optimal and versatile imaging modality for functional testing anywhere, any time, and in any patient.
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Affiliation(s)
- Eugenio Picano
- CNR, Biomedicine Department, Institute of Clinical Physiology, 56100 Pisa, Italy; (M.D.N.); (C.C.)
| | - Quirino Ciampi
- Cardiology Division, Fatebenefratelli Hospital, 82100 Benevento, Italy; (Q.C.); (B.V.)
| | | | - Adelaide M. Arruda-Olson
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA; (A.M.A.-O.); (G.C.K.); (H.R.V.); (R.P.); (P.A.P.)
| | | | | | - Rosangela Cocchia
- Azienda Ospedaliera Rilevanza Nazionale A. Cardarelli Hospital, 80100 Naples, Italy; (R.C.); (E.B.)
| | - Eduardo Bossone
- Azienda Ospedaliera Rilevanza Nazionale A. Cardarelli Hospital, 80100 Naples, Italy; (R.C.); (E.B.)
| | - Elisa Merli
- Department of Cardiology, Ospedale per gli Infermi, Faenza, 48100 Ravenna, Italy;
| | - Garvan C. Kane
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA; (A.M.A.-O.); (G.C.K.); (H.R.V.); (R.P.); (P.A.P.)
| | - Albert Varga
- Institute of Family Medicine, Szeged University Medical School, University of Szeged, 6720 Szeged, Hungary; (A.V.); (G.A.)
| | - Gergely Agoston
- Institute of Family Medicine, Szeged University Medical School, University of Szeged, 6720 Szeged, Hungary; (A.V.); (G.A.)
| | | | - Doralisa Morrone
- Cardiothoracic Department, University of Pisa, 56100 Pisa, Italy;
| | - Iana Simova
- Heart and Brain Center of Excellence, Cardiology Department, University Hospital, Medical University, 5800 Pleven, Bulgaria; (I.S.); (M.S.)
| | - Martina Samardjieva
- Heart and Brain Center of Excellence, Cardiology Department, University Hospital, Medical University, 5800 Pleven, Bulgaria; (I.S.); (M.S.)
| | - Alla Boshchenko
- Cardiology Research Institute, Tomsk National Research Medical Centre of the Russian Academy of Sciences, 634009 Tomsk, Russia; (A.B.); (T.R.); (A.V.)
| | - Tamara Ryabova
- Cardiology Research Institute, Tomsk National Research Medical Centre of the Russian Academy of Sciences, 634009 Tomsk, Russia; (A.B.); (T.R.); (A.V.)
| | - Alexander Vrublevsky
- Cardiology Research Institute, Tomsk National Research Medical Centre of the Russian Academy of Sciences, 634009 Tomsk, Russia; (A.B.); (T.R.); (A.V.)
| | - Attila Palinkas
- Internal Medicine Department, Elisabeth Hospital, 6800 Hódmezővásárhely, Hungary;
| | - Eszter D. Palinkas
- Albert Szent-Gyorgyi Clinical Center, Department of Internal Medicine, Division of Non-Invasive Cardiology, University Hospital, 6725 Szeged, Hungary; (R.S.); (E.D.P.)
| | - Robert Sepp
- Albert Szent-Gyorgyi Clinical Center, Department of Internal Medicine, Division of Non-Invasive Cardiology, University Hospital, 6725 Szeged, Hungary; (R.S.); (E.D.P.)
| | | | - Hector R. Villarraga
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA; (A.M.A.-O.); (G.C.K.); (H.R.V.); (R.P.); (P.A.P.)
| | - Tamara Kovačević Preradović
- Clinic of Cardiovascular Diseases, University Clinical Centre of the Republic of Srpska, 78 000 Banja Luka, Bosnia and Herzegovina; (T.K.P.); (T.B.)
| | - Rodolfo Citro
- Cardiology Department and Echocardiography Lab, University Hospital “San Giovanni di Dio e Ruggi d’Aragona”, 84100 Salerno, Italy;
| | - Miguel Amor
- Cardiology Department, Ramos Mejia Hospital, Buenos Aires C1221, Argentina; (M.A.); (H.M.); (M.S.)
| | - Hugo Mosto
- Cardiology Department, Ramos Mejia Hospital, Buenos Aires C1221, Argentina; (M.A.); (H.M.); (M.S.)
| | - Michael Salamè
- Cardiology Department, Ramos Mejia Hospital, Buenos Aires C1221, Argentina; (M.A.); (H.M.); (M.S.)
| | - Paul Leeson
- RDM Division of Cardiovascular Medicine, Cardiovascular Clinical Research Facility, University of Oxford, Oxford OX3 9DU, UK;
| | - Cristina Mangia
- CNR, ISAC-Institute of Sciences of Atmosphere and Climate, 73100 Lecce, Italy;
| | - Nicola Gaibazzi
- Cardiology Department, Parma University Hospital, 43100 Parma, Italy; (N.G.); (D.T.)
| | - Domenico Tuttolomondo
- Cardiology Department, Parma University Hospital, 43100 Parma, Italy; (N.G.); (D.T.)
| | - Costantina Prota
- Cardiology Department, Vallo della Lucania Hospital, 84100 Salerno, Italy;
| | - Jesus Peteiro
- CHUAC-Complexo Hospitalario Universitario A Coruna, CIBER-CV, University of A Coruna, 15070 La Coruna, Spain;
| | | | - Antonello D’Andrea
- UOC Cardiologia/UTIC/Emodinamica, PO Umberto I, Nocera Inferiore (ASL Salerno)—Università Luigi Vanvitelli della Campania, 84014 Salerno, Italy; (A.D.); (P.C.)
| | - Fausto Rigo
- Department of Cardiology, Dolo Hospital, 30031 Venice, Italy;
| | - Aleksandra Nikolic
- Department of Noninvasive Cardiology, Institute for Cardiovascular Diseases Dedinje, School of Medicine, Belgrade 11000, Serbia; (A.N.); (M.O.)
| | - Miodrag Ostojic
- Department of Noninvasive Cardiology, Institute for Cardiovascular Diseases Dedinje, School of Medicine, Belgrade 11000, Serbia; (A.N.); (M.O.)
| | - Jorge Lowenstein
- Cardiodiagnosticos, Investigaciones Medicas Center, Buenos Aires C1082, Argentina; (J.L.); (R.A.); (D.M.L.H.); (P.M.M.)
| | - Rosina Arbucci
- Cardiodiagnosticos, Investigaciones Medicas Center, Buenos Aires C1082, Argentina; (J.L.); (R.A.); (D.M.L.H.); (P.M.M.)
| | - Diego M. Lowenstein Haber
- Cardiodiagnosticos, Investigaciones Medicas Center, Buenos Aires C1082, Argentina; (J.L.); (R.A.); (D.M.L.H.); (P.M.M.)
| | - Pablo M. Merlo
- Cardiodiagnosticos, Investigaciones Medicas Center, Buenos Aires C1082, Argentina; (J.L.); (R.A.); (D.M.L.H.); (P.M.M.)
| | - Karina Wierzbowska-Drabik
- Department of Cardiology, Bieganski Hospital, Medical University, 91-347 Lodz, Poland; (K.W.-D.); (J.D.K.)
| | - Jaroslaw D. Kasprzak
- Department of Cardiology, Bieganski Hospital, Medical University, 91-347 Lodz, Poland; (K.W.-D.); (J.D.K.)
| | - Maciej Haberka
- Department of Cardiology, SHS, Medical University of Silesia, 40-752 Katowice, Poland;
| | - Ana Cristina Camarozano
- Medicine Department, Hospital de Clinicas UFPR, Federal University of Paranà, Curitiba 80000-000, Brazil;
| | - Nithima Ratanasit
- Department of Medicine, Division of Cardiology, Siriraj Hospital, Mahidol University, Bangkok 10700, Thailand;
| | - Fabio Mori
- SOD Diagnostica Cardiovascolare, DAI Cardio-Toraco-Vascolare, Azienda Ospedaliera-Universitaria Careggi, 50139 Firenze, Italy; (F.M.); (M.G.D.); (L.T.); (A.M.); (I.O.); (A.M.)
| | - Maria Grazia D’Alfonso
- SOD Diagnostica Cardiovascolare, DAI Cardio-Toraco-Vascolare, Azienda Ospedaliera-Universitaria Careggi, 50139 Firenze, Italy; (F.M.); (M.G.D.); (L.T.); (A.M.); (I.O.); (A.M.)
| | - Luigi Tassetti
- SOD Diagnostica Cardiovascolare, DAI Cardio-Toraco-Vascolare, Azienda Ospedaliera-Universitaria Careggi, 50139 Firenze, Italy; (F.M.); (M.G.D.); (L.T.); (A.M.); (I.O.); (A.M.)
| | - Alessandra Milazzo
- SOD Diagnostica Cardiovascolare, DAI Cardio-Toraco-Vascolare, Azienda Ospedaliera-Universitaria Careggi, 50139 Firenze, Italy; (F.M.); (M.G.D.); (L.T.); (A.M.); (I.O.); (A.M.)
| | - Iacopo Olivotto
- SOD Diagnostica Cardiovascolare, DAI Cardio-Toraco-Vascolare, Azienda Ospedaliera-Universitaria Careggi, 50139 Firenze, Italy; (F.M.); (M.G.D.); (L.T.); (A.M.); (I.O.); (A.M.)
| | - Alberto Marchi
- SOD Diagnostica Cardiovascolare, DAI Cardio-Toraco-Vascolare, Azienda Ospedaliera-Universitaria Careggi, 50139 Firenze, Italy; (F.M.); (M.G.D.); (L.T.); (A.M.); (I.O.); (A.M.)
| | | | - Angela Zagatina
- Cardiology Department, Saint Petersburg State University Hospital, 199034 Saint Petersburg, Russia;
| | - Ratnasari Padang
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA; (A.M.A.-O.); (G.C.K.); (H.R.V.); (R.P.); (P.A.P.)
| | - Milica Dekleva
- Clinical Cardiology Department, Clinical Hospital Zvezdara, Medical School, University of Belgrade, Belgrade 11000, Serbia;
| | - Ana Djordievic-Dikic
- University Clinical Centre of Serbia, Medical School, Cardiology Clinic, University of Belgrade, 11000 Belgrade, Serbia; (A.D.-D.); (N.B.); (M.T.); (V.G.); (B.B.)
| | - Nikola Boskovic
- University Clinical Centre of Serbia, Medical School, Cardiology Clinic, University of Belgrade, 11000 Belgrade, Serbia; (A.D.-D.); (N.B.); (M.T.); (V.G.); (B.B.)
| | - Milorad Tesic
- University Clinical Centre of Serbia, Medical School, Cardiology Clinic, University of Belgrade, 11000 Belgrade, Serbia; (A.D.-D.); (N.B.); (M.T.); (V.G.); (B.B.)
| | - Vojislav Giga
- University Clinical Centre of Serbia, Medical School, Cardiology Clinic, University of Belgrade, 11000 Belgrade, Serbia; (A.D.-D.); (N.B.); (M.T.); (V.G.); (B.B.)
| | - Branko Beleslin
- University Clinical Centre of Serbia, Medical School, Cardiology Clinic, University of Belgrade, 11000 Belgrade, Serbia; (A.D.-D.); (N.B.); (M.T.); (V.G.); (B.B.)
| | - Giovanni Di Salvo
- Division of Pediatric Cardiology, University Hospital, 35100 Padua, Italy;
| | | | - Matteo Cameli
- Division of Cardiology, University Hospital, 53100 Siena, Italy; (M.C.); (G.E.M.)
| | - Giulia Elena Mandoli
- Division of Cardiology, University Hospital, 53100 Siena, Italy; (M.C.); (G.E.M.)
| | - Tonino Bombardini
- Clinic of Cardiovascular Diseases, University Clinical Centre of the Republic of Srpska, 78 000 Banja Luka, Bosnia and Herzegovina; (T.K.P.); (T.B.)
| | - Pio Caso
- UOC Cardiologia/UTIC/Emodinamica, PO Umberto I, Nocera Inferiore (ASL Salerno)—Università Luigi Vanvitelli della Campania, 84014 Salerno, Italy; (A.D.); (P.C.)
| | - Jelena Celutkiene
- Centre of Cardiology and Angiology, Clinic of Cardiac and Vascular Diseases, Faculty of Medicine, Institute of Clinical Medicine, Vilnius University, LT-03101 Vilnius, Lithuania;
| | - Andrea Barbieri
- Noninvasive Cardiology, University Hospital, 43100 Parma, Italy;
| | - Giovanni Benfari
- Cardiology Department, University of Verona, 37121 Verona, Italy;
| | - Ylenia Bartolacelli
- Paediatric Cardiology and Adult Congenital Heart Disease Unit, S. Orsola-Malpighi Hospital, 40100 Bologna, Italy;
| | - Alessandro Malagoli
- Nephro-Cardiovascular Department, Division of Cardiology, Baggiovara Hospital, University of Modena and Reggio Emilia, 41126 Modena, Italy;
| | - Francesca Bursi
- ASST Santi Paolo e Carlo, Presidio Ospedale San Paolo, 20100 Milano, Italy;
| | - Francesca Mantovani
- Azienda Unità Sanitaria Locale—IRCCS di Reggio Emilia, Cardiology, 42100 Reggio Emilia, Italy;
| | - Bruno Villari
- Cardiology Division, Fatebenefratelli Hospital, 82100 Benevento, Italy; (Q.C.); (B.V.)
| | - Antonello Russo
- Association for Public Health “Salute Pubblica”, 72100 Brindisi, Italy;
| | - Michele De Nes
- CNR, Biomedicine Department, Institute of Clinical Physiology, 56100 Pisa, Italy; (M.D.N.); (C.C.)
| | - Clara Carpeggiani
- CNR, Biomedicine Department, Institute of Clinical Physiology, 56100 Pisa, Italy; (M.D.N.); (C.C.)
| | - Ines Monte
- Echocardiography Laboratory, Cardio-Thorax-Vascular Department, “ Policlinico Vittorio Emanuele”, Catania University, 95100 Catania, Italy;
| | - Federica Re
- Ospedale San Camillo, Cardiology Division, 00100 Rome, Italy;
| | - Carlos Cotrim
- Heart Center, Hospital da Cruz Vermelha, Lisbon, and Medical School of University of Algarve, 1549-008 Lisbon, Portugal;
| | - Giuseppe Bilardo
- UOC di Cardiologia, ULSS1 DOLOMITI, Presidio Ospedaliero di Feltre, 32032 Belluno, Italy;
| | - Ariel K. Saad
- División de Cardiología, Hospital de Clínicas José de San Martín, Buenos Aires C1120, Argentina;
| | - Arnas Karuzas
- Ligence Medical Solutions, 49206 Vilnius, Lithuania; (A.K.); (D.M.)
| | | | - Paolo Colonna
- Cardiology Hospital, Policlinico University Hospital of Bari, 70100 Bari, Italy;
- Italian Society of Echocardiography and Cardiovascular Imaging, 20138 Milan, Italy; (F.A.-C.); (M.P.)
| | - Francesco Antonini-Canterin
- Italian Society of Echocardiography and Cardiovascular Imaging, 20138 Milan, Italy; (F.A.-C.); (M.P.)
- Cardiac Prevention and Rehabilitation Unit, Highly Specialized Rehabilitation Hospital Motta di Livenza, Motta di Livenza, 31045 Treviso, Italy
| | - Mauro Pepi
- Italian Society of Echocardiography and Cardiovascular Imaging, 20138 Milan, Italy; (F.A.-C.); (M.P.)
- Centro Cardiologico Monzino, IRCCS, 20138 Milan, Italy
| | - Patricia A. Pellikka
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905, USA; (A.M.A.-O.); (G.C.K.); (H.R.V.); (R.P.); (P.A.P.)
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10
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Hardas S, Titar P, Zanwar I, Phalgune DS. Correlation between echocardiographic calcium score and coronary artery lesion severity on invasive coronary angiography. Indian Heart J 2021; 73:307-312. [PMID: 34154747 PMCID: PMC8322811 DOI: 10.1016/j.ihj.2021.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Revised: 02/13/2021] [Accepted: 03/23/2021] [Indexed: 11/28/2022] Open
Abstract
OBJECTIVES The direct correlation between Echocardiographic non-coronary calcium score (ECS) and lesion severity on invasive coronary angiography (ICA) is not reported. The aim of the present study was to find the correlation between ECS and Gensini score. METHODS One hundred seventy patients aged ≥18 years posted for clinically indicated ICA were included. All the patients underwent standard transthoracic echocardiography. ECS and Gensisni scores were calculated. The primary outcome measure was to find a correlation of ECS with Gensini score, whereas the secondary outcome measure was to correlate ECS with traditional risk factors for coronary artery disease. The Chi-square/Fisher exact test was used to compare qualitative variables. Spearman's correlation analysis was used for assessing the correlation between ECS score and the Gensini score. Receiver-operating characteristic curve analysis was performed to detect the cut-off value of the ECS score. RESULTS The correlation of total ECS with Gensini score was positive and statistically significant (r = 0.550, p-value < 0.0001). As ECS increased, the Gensini score increased. ECS value of >1 detected CAD with 56.5% sensitivity, 79.5% specificity. Eight-nine percent of patients who had ECS >1, had Gensini score ≥18, whereas 44.3% of patients who had ECS ≤1, had Gensini score ≥18. The patients with ECS >1 had significantly higher Gensini scores than the patients with ECS ≤1. CONCLUSIONS The correlation of total ECS with Gensini score was positive and statistically significant.
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Affiliation(s)
- Suhas Hardas
- Dept. of Cardiology, Poona Hospital & Research Centre, Pune, India.
| | - Pritam Titar
- Dept. of Cardiology, Poona Hospital & Research Centre, Pune, India.
| | - Ishwar Zanwar
- Dept. of Cardiology, Poona Hospital & Research Centre, Pune, India.
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11
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Faggiano A, Santangelo G, Carugo S, Pressman G, Picano E, Faggiano P. Cardiovascular Calcification as a Marker of Increased Cardiovascular Risk and a Surrogate for Subclinical Atherosclerosis: Role of Echocardiography. J Clin Med 2021; 10:1668. [PMID: 33924667 PMCID: PMC8069968 DOI: 10.3390/jcm10081668] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 03/31/2021] [Accepted: 04/12/2021] [Indexed: 01/23/2023] Open
Abstract
The risk prediction of future cardiovascular events is mainly based on conventional risk factor assessment by validated algorithms, such as the Framingham Risk Score, the Pooled Cohort Equations and the European SCORE Risk Charts. The identification of subclinical atherosclerosis has emerged as a promising tool to refine the individual cardiovascular risk identified by these models, to prognostic stratify asymptomatic individuals and to implement preventive strategies. Several imaging modalities have been proposed for the identification of subclinical organ damage, the main ones being coronary artery calcification scanning by cardiac computed tomography and the two-dimensional ultrasound evaluation of carotid arteries. In this context, echocardiography offers an assessment of cardiac calcifications at different sites, such as the mitral apparatus (including annulus, leaflets and papillary muscles), aortic valve and ascending aorta, findings that are associated with the clinical manifestation of atherosclerotic disease and are predictive of future cardiovascular events. The aim of this paper is to summarize the available evidence on clinical implications of cardiac calcification, review studies that propose semiquantitative ultrasound assessments of cardiac calcifications and evaluate the potential of ultrasound calcium scores for risk stratification and prevention of clinical events.
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Affiliation(s)
- Andrea Faggiano
- Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, University of Milan, 20122 Milan, Italy; (A.F.); (S.C.)
| | - Gloria Santangelo
- San Paolo Hospital, Division of Cardiology, Department of Health Sciences, University of Milan, 20144 Milan, Italy;
| | - Stefano Carugo
- Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, University of Milan, 20122 Milan, Italy; (A.F.); (S.C.)
| | - Gregg Pressman
- Division of Cardiology, Heart and Vascular Institute, Einstein Medical Center, Philadelphia, PA 19141, USA;
| | - Eugenio Picano
- CNR, Institute of Clinical Physiology, Biomedicine Department, 56124 Pisa, Italy;
| | - Pompilio Faggiano
- Fondazione Poliambulanza, Cardiovascular Disease Unit, University of Brescia, 25124 Brescia, Italy
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12
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Zhu Y, You J, Xu C, Gu X. Predictive value of carotid artery ultrasonography for the risk of coronary artery disease. JOURNAL OF CLINICAL ULTRASOUND : JCU 2021; 49:218-226. [PMID: 33051899 DOI: 10.1002/jcu.22932] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 09/12/2020] [Accepted: 09/15/2020] [Indexed: 06/11/2023]
Abstract
PURPOSE To assess carotid intima-media thickness (IMT), carotid plaques, and cardiovascular risk factors in patients with suspected coronary artery disease (CHD) to determine their association and predictive value for CHD. METHODS We performed duplex Doppler ultrasonography of the carotid arteries and coronary angiography or CT in 480 patients with suspected CHD, and investigated their personal and medical histories. Patients were then assigned to the CHD or the control group depending on the presence of coronary lesions. Ultrasonography was performed the morning after admission prior to any treatment, coronary angiography, or CT. RESULTS Carotid plaques were mainly distributed in the common carotid artery bifurcation, with a significant difference between the CHD and control groups. Plaque incidence (80%) and IMT were significantly higher (P < .001 and P = .012, respectively) in the CHD (80% and 0.84 ± 0.21 mm) than in the control group (49% and 0.76 ± 0.18 mm). The factors significantly associated with CHD were introduced into a multivariate regression model. Male subject (OR = 1.569, 95%CI 1.004-2.453; P = .048) and plaque burden (OR = 0.457, 95%CI 0.210-0.993; P = .048) were significant predictors for CHD occurrence. The presence of carotid plaques performed significantly better than IMT and the Framingham risk score for predicting CHD lesions (P < .001 for both). CONCLUSIONS CHD patients showed higher percentage of clinical (plaques) or subclinical (IMT) carotid artery wall change, and the presence of carotid plaques showed better predictive value than IMT and Framingham risk score for the presence of coronary artery lesions.
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Affiliation(s)
- Ye Zhu
- Clinical Medical College, Yangzhou University, Yangzhou, China
- Department of Cardiology, Northern Jiangsu People's Hospital, Yangzhou, China
| | - Jia You
- Department of Internal Medicine, Yangzhou Maternal and Child Health Care Hospital, Yangzhou, Jiangsu, China
| | - Chao Xu
- Department of Biostatistics and Epidemiology, University of Oklahoma Health Science Center, Oklahoma City, Oklahoma, USA
| | - Xiang Gu
- Clinical Medical College, Yangzhou University, Yangzhou, China
- Department of Cardiology, Northern Jiangsu People's Hospital, Yangzhou, China
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13
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Bytyçi I, Shenouda R, Wester P, Henein MY. Carotid Atherosclerosis in Predicting Coronary Artery Disease: A Systematic Review and Meta-Analysis. Arterioscler Thromb Vasc Biol 2021; 41:e224-e237. [PMID: 33626907 DOI: 10.1161/atvbaha.120.315747] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Ibadete Bytyçi
- Institute of Public Health and Clinical Medicine, Umeå University, Sweden (I.B., R.S., P.W., M.Y.H.).,Clinic of Cardiology, University Clinical Centre of Kosovo and Universi College, Prishtina (I.B.)
| | - Rafik Shenouda
- Institute of Public Health and Clinical Medicine, Umeå University, Sweden (I.B., R.S., P.W., M.Y.H.).,International Cardiac Centre-ICC and Alexandria University, Egypt (R.S.)
| | - Per Wester
- Institute of Public Health and Clinical Medicine, Umeå University, Sweden (I.B., R.S., P.W., M.Y.H.)
| | - Michael Y Henein
- Institute of Public Health and Clinical Medicine, Umeå University, Sweden (I.B., R.S., P.W., M.Y.H.).,Molecular and Clinic Research Institute, St George University, London, and Brunel University, United Kingdom (M.Y.H.)
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14
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Incremental value of carotid elasticity modulus using shear wave elastography for identifying coronary artery disease in patients without carotid plaque. J Hypertens 2020; 39:1210-1220. [PMID: 33323910 DOI: 10.1097/hjh.0000000000002773] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Shear wave elastography (SWE) directly quantifies the local arterial wall stiffness by calculating the elastic modulus. However, whether carotid wall elastic modulus can predict obstructive coronary artery disease (CAD) is not well known. We aimed to investigate the value of carotid wall elastic modulus measured using SWE in identifying obstructive CAD. MATERIALS AND METHODS We prospectively enrolled 61 patients without carotid plaque referred for clinically indicated coronary angiography. Twenty-seven (44.3%) patients were diagnosed with obstructive CAD (≥50% coronary stenosis). The elastic modulus of common carotid artery was quantified using SWE. Ankle--brachial index (ABI) and echocardiographic global cardiac calcium score (GCCS) were measured. RESULTS Patients with obstructive CAD had significantly higher elastic modulus than those without obstructive CAD. The maximum elastic modulus (EMmax) was independently associated with obstructive CAD after adjusting for the Framingham risk score, ABI, and GCCS. EMmax had the highest area under the curve (AUC) to identify obstructive CAD (AUC 0.70; P = 0.003). In the nested models, the model based on the Framingham risk score and ABI (χ2 = 3.74) improved by adding GCCS (χ2 = 9.95) and further improved by adding EMmax (χ2 = 15.86). Adding EMmax to the combined ABI and GCCS model increased integrated discrimination index from 0.10 to 0.19. CONCLUSION Carotid wall elastic modulus measured using SWE is a useful predictor of obstructive CAD in patients without carotid plaque. We demonstrated the incremental and independent value of carotid wall elastic modulus in identifying obstructive CAD compared with clinical risk factors and other imaging predictors, including ABI and GCCS. VIDEO ABSTRACT Please see the video, in Supplemental Digital Content 1, http://links.lww.com/HJH/B551 for more insights from the authors.
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15
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Association of brachial-ankle pulse wave velocity and carotid plaque in Chinese hypertensive adults: effect modification by age. Hypertens Res 2020; 43:808-816. [PMID: 32303686 PMCID: PMC7363666 DOI: 10.1038/s41440-020-0432-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2019] [Revised: 02/02/2020] [Accepted: 02/10/2020] [Indexed: 02/06/2023]
Abstract
We aimed to investigate the association of brachial–ankle pulse wave velocity (baPWV) with carotid plaque presence and carotid plaque number in a Chinese hypertensive population. A total of 13,554 hypertensive subjects from the China Stroke Primary Prevention Trial (CSPPT) were recruited. Arterial stiffness and carotid plaque were evaluated by baPWV and B-mode ultrasonography, respectively. Multivariate logistic regression analysis was used to determine the correlation of baPWV and carotid plaque presence. Multinomial logistic regression analysis was used to determine the correlation of baPWV and carotid plaque number. Further interactions between baPWV and carotid plaque presence were examined using subgroup analysis. Continuous baPWV was positively correlated with carotid plaque presence (OR = 1.05, 95% CI: 1.04–1.07) and carotid plaque number (one- to two-plaque group: OR = 1.04, 95% CI: 1.02–1.06; three-or-more-plaque group: OR = 1.09, 95% CI: 1.07–1.12). When baPWV was classified into quartiles, with the lowest quartile as reference, the ORs for having one, two, or three or more plaques increased in parallel with the quartiles of baPWV, indicating a dose-dependent effect. In a subgroup analysis, the association of baPWV and carotid plaque presence was more pronounced among younger participants (OR: 1.14 vs. 1.06 and 1.03 for the age groups <60 years, 60 ≤ 70 years, and ≥70 years, respectively, P for interaction <0.001). In a Chinese hypertensive population, baPWV was positively associated with carotid plaque presence and carotid plaque number. A more pronounced positive association between baPWV and carotid plaque presence was observed in younger participants.
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16
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Cortés YI, Barinas-Mitchell E, Suder Egnot N, Bhasin S, Jasuja R, Santoro N, Thurston RC. Associations of Endogenous Sex Hormones with Carotid Plaque Burden and Characteristics in Midlife Women. J Clin Endocrinol Metab 2020; 105:5695920. [PMID: 31900485 PMCID: PMC7077951 DOI: 10.1210/clinem/dgz327] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Accepted: 01/01/2020] [Indexed: 12/22/2022]
Abstract
CONTEXT Endogenous sex hormones may be involved in the pathogenesis of cardiovascular disease (CVD) in women. Carotid plaque characteristics, such as echogenicity, an ultrasound measure that reflects plaque composition, may identify unstable plaques that are more likely to rupture, precipitating a CVD event. However, few studies have considered sex steroids in relation to carotid plaque and its characteristics. OBJECTIVE To evaluate estrone (E1), estradiol (E2), testosterone (T), sex hormone binding globulin (SHBG), and free T (FT) in relation to carotid plaque in women. DESIGN, SETTING, AND PARTICIPANTS In MsHeart, a cross-sectional study of 304 women aged 40 to 60 years, participants underwent a carotid artery ultrasound assessment. The current analysis included MsHeart participants with carotid plaque (n = 141, 46%). E1, E2, and T were assayed using liquid chromatography-tandem mass spectrometry; FT was estimated using ensemble allostery models. Regression models were adjusted for sociodemographic characteristics and CVD risk factors. MAIN OUTCOMES Carotid plaque burden (number of plaques, total plaque area [TPA]) and characteristics (calcification, echogenicity) were determined using semi-automated software. RESULTS SHBG was inversely related to TPA (odds ratio [OR] 0.39; 95% confidence interval [CI] 0.21, 0.74; multivariable) and higher FTs were associated with greater TPA (OR 2.89; 95% CI 1.31, 6.37; multivariable). Higher E1 was related to echogenicity (OR 2.31; 95% CI 1.26, 4.33; multivariable), characteristic of more stable plaque. CONCLUSIONS SHBG and FT are related to TPA while E1 is related to plaque echogenicity, suggesting these hormones have different roles in the development of carotid plaque. Our findings highlight the importance of sex hormones in the development of carotid plaque in midlife women.
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Affiliation(s)
- Yamnia I Cortés
- School of Nursing, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
- Correspondence and Reprint Requests: Yamnia I. Cortés, PhD, MPH, FNP-BC, University of North Carolina at Chapel Hill, School of Nursing, Carrington Hall, Campus Box 7460, Chapel Hill, NC 27599-7460. E-mail:
| | - Emma Barinas-Mitchell
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania
| | | | - Shalender Bhasin
- Research Program in Men’s Health: Aging and Metabolism, Boston Claude D. Pepper Older Americans Independence Center, Harvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts
| | - Ravi Jasuja
- Research Program in Men’s Health: Aging and Metabolism, Boston Claude D. Pepper Older Americans Independence Center, Harvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts
- Function Promoting, LLC, Waltham, Massachusetts
| | - Nanette Santoro
- Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Denver, Colorado
| | - Rebecca C Thurston
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
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17
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Zhang Y, Cao X, Duan F, Madhurapantula SV, Yin J, He G, Wang K, Liang S, Ma N, Nie W, Wang L, Duan H, Wang Y, Liu X, Jiao X, Li B, Song C, Wang K. Two-level analysis of risk factors for ischemic cardiovascular disease-A community-based study from Henan, China. J Cardiol 2020; 76:198-204. [PMID: 32192846 DOI: 10.1016/j.jjcc.2020.02.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Revised: 02/08/2020] [Accepted: 02/09/2020] [Indexed: 11/29/2022]
Abstract
BACKGROUND Ischemic cardiovascular disease (ICVD) has high incidence and high mortality worldwide. The studies of its risk factors were mostly concentrated on an individual level, and there are scarce studies on the two levels of risk factors which include individual and regional levels. METHODS The data were obtained from a community-based study in 4 cities and 6 counties of Henan, China. Risk factors were initially screened by one-way analysis of variance or chi-square test. Then, they were re-analyzed using a two-level logistic regression model to construct a personal disease risk prediction model. RESULTS A two-level ICVD risk prediction model comprised 11 variables: age, body mass index (BMI), family history of hypertension, marital status, salt intake, smoking, moderate recreational physical activities, alcohol intake, and education at the individual level. Among the unalterable risk factors, for each additional unit of age and family history of hypertension, the risk of ICVD increased by 1.08 and 1.07 units [β95% confidence interval (95%CI): 0.99-1.16, 0.97-1.17, both p < 0.0001], respectively. Among the modifiable risk factors, the ICVD risk increases by 0.67, 0.27, and 0.28 units for each additional unit of BMI, marital status, and education (β95%CI: 0.60-0.74, p < 0.0001; β95%CI: 0.14-0.40, p = 0.0012, 0.18-0.37, p = 0.0001). CONCLUSIONS The two-level ICVD risk model can predict that the risk of one person for ICVD will be lower if one is younger, thinner, and well-educated without a family history of hypertension. Overall, the two-level ICVD risk prediction model gets a better fitting effect than the single-level model.
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Affiliation(s)
- Yuehua Zhang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Key Laboratory of Tumor Epidemiology of Henan Province, Zhengzhou, China
| | - Xiaoqin Cao
- Affiliated Tumor Hospital of Zhengzhou University, Henan Tumor Hospital, Zhengzhou, China
| | - Fujiao Duan
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Affiliated Tumor Hospital of Zhengzhou University, Henan Tumor Hospital, Zhengzhou, China
| | - Sailaja Vatsalya Madhurapantula
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Key Laboratory of Tumor Epidemiology of Henan Province, Zhengzhou, China
| | - Jingjing Yin
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Key Laboratory of Tumor Epidemiology of Henan Province, Zhengzhou, China
| | - Gui He
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Key Laboratory of Tumor Epidemiology of Henan Province, Zhengzhou, China
| | - Kunyan Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Key Laboratory of Tumor Epidemiology of Henan Province, Zhengzhou, China
| | - Shuying Liang
- The Henan Academy of Medical Sciences, Zhengzhou, China
| | - Nan Ma
- The Henan Academy of Medical Sciences, Zhengzhou, China
| | - Wei Nie
- The Henan Academy of Medical Sciences, Zhengzhou, China
| | - Liuyi Wang
- The Henan Provincial People's Hospital, Zhengzhou, China
| | - Hongyan Duan
- The Henan Provincial People's Hospital, Zhengzhou, China
| | - Yong Wang
- The Henan Provincial People's Hospital, Zhengzhou, China
| | - Xiaoyu Liu
- The Henan Provincial People's Hospital, Zhengzhou, China
| | - Xiuqing Jiao
- The Henan Provincial People's Hospital, Zhengzhou, China
| | - Bing Li
- The Henan Provincial People's Hospital, Zhengzhou, China
| | - Chunhua Song
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Key Laboratory of Tumor Epidemiology of Henan Province, Zhengzhou, China
| | - Kaijuan Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, China; Key Laboratory of Tumor Epidemiology of Henan Province, Zhengzhou, China.
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18
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Gaibazzi N, Davies J, Tuttolomondo D, Pontone G, Guaricci AI, Lorenzoni V, Benatti G, Siniscalchi C, Pastorini G. Association of coronary artery Doppler-echocardiography diastolic-systolic velocity ratio at rest with obstructive coronary artery stenosis on the left main or left anterior descending coronary artery. Int J Cardiol 2019; 281:1-7. [PMID: 30739803 DOI: 10.1016/j.ijcard.2019.01.104] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2018] [Revised: 01/07/2019] [Accepted: 01/30/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND We assessed whether the non-invasive measure of peak diastolic-systolic velocity ratio (rDSVR) at rest on the left anterior descending artery (LAD) using Doppler transthoracic echocardiography is associated with obstructive coronary artery disease (CAD) on the LAD and left main (LM) arteries. We compared rDSVR diagnostic accuracy with stress wall motion (WM) and coronary flow reserve (CFR-LAD), in a group of subjects who underwent contrast stress-echocardiography (cSE) and coronary angiography within 3 months. METHODS 286 patients selected with a clinical indication to cSE, in which CFR-LAD was measured during the test who also underwent coronary angiography within 3 months were selected and diagnostic performance compared. RESULTS Demographics and clinical variables were univariate predictors of LAD or LM >50% stenosis, but rDSVR < 1.7 outperformed other variables (OR 11.18, 95% CI 5.82-21.49, p < 0.001), comprising cSE variables such as reversible WM abnormalities (OR 1.53, 95% CI 0.94-2.49, p = 0.087) or CFR-LAD < 2 (OR 2.88, 95% CI 21.74-4.77, p < 0.001). The addition of rDSVR to multivariate logistic regression models (clinical or clinical + cSE variables) led to a marked increase in C-index (0.82, 95%CI 0.78-0.87) with significant improvement compared to all prior models (p < 0.001). CONCLUSIONS Our data suggest a strict association of reduced rDSVR with >50% coronary artery stenosis on the LM/LAD, superior to other standard clinical or cSE related indexes, such as WM assessment or CFR-LAD, and builds incrementally to them and clinical variables in multivariable logistic models for the prediction of CAD on LM and LAD coronaries.
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Affiliation(s)
- Nicola Gaibazzi
- Parma University Hospital, Via Gramsci 14, 43123 Parma, Italy.
| | | | | | | | | | | | - Giorgio Benatti
- Parma University Hospital, Via Gramsci 14, 43123 Parma, Italy
| | | | - Guido Pastorini
- Parma University Hospital, Via Gramsci 14, 43123 Parma, Italy
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19
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Faggiano P, Dasseni N, Gaibazzi N, Rossi A, Henein M, Pressman G. Cardiac calcification as a marker of subclinical atherosclerosis and predictor of cardiovascular events: A review of the evidence. Eur J Prev Cardiol 2019; 26:1191-1204. [DOI: 10.1177/2047487319830485] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Affiliation(s)
- Pompilio Faggiano
- Cardiology Division, Spedali Civili Hospital and University of Brescia, Italy
| | - Nicolò Dasseni
- Cardiology Division, Spedali Civili Hospital and University of Brescia, Italy
| | | | - Andrea Rossi
- Cardiology Division, University of Verona, Italy
| | - Michael Henein
- Department of Public Health and Clinical Medicine, Umea University, Sweden
- St George University, London, UK
- Brunel University, London, UK
| | - Gregg Pressman
- Heart and Vascular Institute, Einstein Medical Center, Philadelphia, USA
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20
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Gaibazzi N. Stress Echocardiography: Need to Optimize its Appropriate Use in Suspected Angina and a Review of Available Additional Tools for its Clinical Application in 2018: First do no Harm! Second do it at the Highest Possible Accuracy. J Cardiovasc Echogr 2018; 28:154-159. [PMID: 30306018 PMCID: PMC6172890 DOI: 10.4103/jcecho.jcecho_16_18] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
There is a need to reassess the most appropriate indications for stress echocardiography in the current era, in patients with suspect or known coronary artery disease (CAD), and also the most helpful additional parameters that can be easily calculated in clinical practice to increase the known suboptimal sensitivity for obstructive CAD of this test. The current review tries to clarify what is and what should be the proper role for functional testing in general, but specifically regarding modern stress echocardiography in the current practice, for suspected CAD and/or atypical chest pain. Few candidate additional parameters beyond wall motion assessment are here suggested to improve diagnostic accuracy of stress echocardiography, and pertinent literature is briefly reviewed, together with a more personal view of the author regarding the characteristics of each parameter, as far as ease of acquisition, cost, and true diagnostic or prognostic clinical usefulness are concerned. The reviewed additional parameters, which can be acquired during stress echocardiography, are Doppler coronary flow reserve in the left anterior descending artery, cardiac calcium score, global longitudinal strain, ventricular elastance, and contrast myocardial perfusion. Each of them finds a potential place in the current practice or may find a place in the future practice of stress echocardiography.
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Affiliation(s)
- Nicola Gaibazzi
- Department of Cardiology, Parma University Hospital, Parma, Italy
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21
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Wu N, Chen X, Li M, Qu X, Li Y, Xie W, Wu L, Xiang Y, Li Y, Zhong L. Predicting obstructive coronary artery disease using carotid ultrasound parameters: A nomogram from a large real-world clinical data. Eur J Clin Invest 2018; 48:e12956. [PMID: 29782650 DOI: 10.1111/eci.12956] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 05/16/2018] [Indexed: 12/18/2022]
Abstract
BACKGROUND Carotid ultrasound is a noninvasive tool for risk assessment of coronary artery disease (CAD). There is no consensus on which carotid ultrasound parameter constitutes the best measurement of atherosclerosis. We investigated which model of carotid ultrasound parameters and clinical risk factors (CRF) has the highest predictive value for CAD. MATERIALS AND METHODS We enrolled 2431 consecutive patients who have suspected CAD and underwent coronary angiography and carotid ultrasound with measurements of carotid intima-media thickness (CIMT), total number of plaques and areas of different types of plaques classified by echogenicity. RESULTS Total number of plaques demonstrated the highest incremental prediction ability to predict CAD over CRF (area under the curve [AUC] 0.752 vs 0.701, net reclassification index [NRI] = 0.514, P < .001), followed by area of maximum mixed and soft plaques. CIMT had no significant incremental value over CRF (AUC 0.704 vs 0.701, P = .241; NRI = 0.062, P = .168). The model comprising total number of plaques, areas of maximum soft, hard and mixed plaques plus CRF had the highest discriminatory (AUC = 0.757) and reclassification value (NRI = 0.567) for CAD. A nomogram based on this model was developed to predict CAD. For subjects at low and intermediate risk, the model comprising total number of plaques plus CRF was the best. CONCLUSIONS Total number of plaques, area of maximum soft, hard and mixed plaques showed significantly incremental prediction ability over CRF. A nomogram based on these factors provided an intuitive and practical method in detecting CAD.
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Affiliation(s)
- Na Wu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China.,Center for Clinical Epidemiology and Evidence-based Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xinghua Chen
- Department of Cardiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Mingyang Li
- Department of Cardiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xiaolong Qu
- Department of Cardiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yueli Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China.,Center for Clinical Epidemiology and Evidence-based Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Weijia Xie
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China.,Center for Clinical Epidemiology and Evidence-based Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Long Wu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China.,Center for Clinical Epidemiology and Evidence-based Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ying Xiang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China.,Center for Clinical Epidemiology and Evidence-based Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yafei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China.,Center for Clinical Epidemiology and Evidence-based Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Li Zhong
- Cardiovascular Disease Center, Third Affiliated Hospital of Chongqing Medical University, Chongqing, China
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22
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Guaricci AI, Lorenzoni V, Guglielmo M, Mushtaq S, Muscogiuri G, Cademartiri F, Rabbat M, Andreini D, Serviddio G, Gaibazzi N, Pepi M, Pontone G. Prognostic relevance of subclinical coronary and carotid atherosclerosis in a diabetic and nondiabetic asymptomatic population. Clin Cardiol 2018; 41:769-777. [PMID: 29604092 DOI: 10.1002/clc.22952] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Revised: 03/16/2018] [Accepted: 03/27/2018] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND We sought to evaluate the incremental prognostic benefit of carotid artery disease and subclinical coronary artery disease (CAD) features in addition to clinical evaluation in an asymptomatic population. METHODS Over a 6-year period, 10-year Framingham risk score together with carotid ultrasound and coronary computed tomography angiography were evaluated for prediction of major adverse cardiac events (MACE). RESULTS We enrolled 517 consecutive asymptomatic patients (63% male, mean age 64 ±10 years; 17.6% with diabetes). Median (interquartile range) coronary artery calcium score (CACS) was 34 (0-100). Over a median follow-up of 4.4 (3.4-5.1) years, there were 53 MACE (10%). Patients experiencing MACE had higher CACS, incidence of carotid disease, presence of CAD ≥50%, and remodeled plaque as compared with patients without MACE. At multivariable analyses, presence of CAD ≥50% (HR: 5.14, 95% CI: 2.1-12.4) and percentage of segments with remodeled plaque (HR: 1.04, 95% CI: 1.03-1.06) independently predicted MACE (P < 0.001). Models adding CAD ≥50% or percentage of segments with remodeled plaque resulted in higher discrimination and reclassification ability compared with a model based on 10-year FRS, carotid disease, and CACS. Specifically, the C-statistic improved to 0.75 with addition of CAD and 0.84 when adding percentage of segments with remodeled plaque, whereas net reclassification improvement indices were 0.86 and 0.92, respectively. CONCLUSIONS In an asymptomatic population, CAD and plaque positive remodeling increase MACE prediction compared with a model based on 10-year FRS, carotid disease, and CACS estimation. In the diabetes subgroup, percentage of segments with remodeled plaque was the only predictor of MACE.
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Affiliation(s)
- Andrea Igoren Guaricci
- Institute of Cardiovascular Disease, Department of Emergency and Organ Transplantation, University Hospital Policlinico, Bari, Italy.,Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
| | | | | | | | - Giuseppe Muscogiuri
- Centro Cardiologico Monzino, IRCCS, Milan, Italy.,C.M.O., Torre Annunziata, Naples, Italy
| | | | - Mark Rabbat
- Center for Heart and Vascular Medicine, Loyola University of Chicago, Chicago, Illinois.,Center for Heart and Vascular Medicine, Edward Hines Jr. VA Hospital, Hines, Illinois
| | - Daniele Andreini
- Centro Cardiologico Monzino, IRCCS, Milan, Italy.,Department of Cardiovascular Sciences and Community Health, University of Milan, Milan, Italy
| | - Gaetano Serviddio
- Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy
| | - Nicola Gaibazzi
- Department of Cardiology, Parma University Hospital, Parma, Italy
| | - Mauro Pepi
- Centro Cardiologico Monzino, IRCCS, Milan, Italy
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23
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Ultrasound cardiac calcification as a marker of subclinical atherosclerosis and future cardiovascular events in clinical practice: Is there enough evidence? Int J Cardiol 2018; 260:145-147. [DOI: 10.1016/j.ijcard.2018.02.081] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2018] [Accepted: 02/20/2018] [Indexed: 11/22/2022]
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24
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Ciccone MM, Loverro G, Scicchitano P, Loverro M, Ricci G, Scaramuzzi F, Gesualdo M, Zito A, Campagna M, Moncelli M, Nicolardi V, Manca F, Boninfante B, Carbonara S, Cortese F, Todarello O, Bettocchi C. Surgical and pharmacological reassignment: influence on transsexual cardiovascular risk profile. Intern Med J 2017; 47:1255-1262. [PMID: 28857448 DOI: 10.1111/imj.13597] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2017] [Revised: 08/23/2017] [Accepted: 08/23/2017] [Indexed: 12/16/2022]
Affiliation(s)
- Marco M. Ciccone
- Department of Cardiovascular Disease Section, Department of Emergency and Organ Transplantation; University of Bari; Bari Italy
| | - Giuseppe Loverro
- Department of Obstetrics and Gynecology; University of Bari; Bari Italy
| | - Pietro Scicchitano
- Department of Cardiovascular Disease Section, Department of Emergency and Organ Transplantation; University of Bari; Bari Italy
| | - Matteo Loverro
- Department of Obstetrics and Gynecology; University of Bari; Bari Italy
| | - Gabriella Ricci
- Department of Cardiovascular Disease Section, Department of Emergency and Organ Transplantation; University of Bari; Bari Italy
| | | | - Michele Gesualdo
- Department of Cardiovascular Disease Section, Department of Emergency and Organ Transplantation; University of Bari; Bari Italy
| | - Annapaola Zito
- Department of Cardiovascular Disease Section, Department of Emergency and Organ Transplantation; University of Bari; Bari Italy
| | - Marcello Campagna
- Department of Emergency and Organ Transplantation, Urology, Andrology and Kidney Transplantation Unit; University of Bari; Bari Italy
| | - Michele Moncelli
- Department of Cardiovascular Disease Section, Department of Emergency and Organ Transplantation; University of Bari; Bari Italy
| | - Vittorio Nicolardi
- Department of Economics and Mathematical Methods; University of Bari; Italy
| | - Fabio Manca
- Department of Science of Educational Psychology, and Communication; University of Bari; Bari Italy
| | - Barbara Boninfante
- P.J.D. of Statistical Part-time Lecturer of Medical Statistics; University of Bari; Bari Italy
| | - Santa Carbonara
- Department of Cardiovascular Disease Section, Department of Emergency and Organ Transplantation; University of Bari; Bari Italy
| | - Francesca Cortese
- Department of Cardiovascular Disease Section, Department of Emergency and Organ Transplantation; University of Bari; Bari Italy
| | | | - Carlo Bettocchi
- Department of Emergency and Organ Transplantation, Urology, Andrology and Kidney Transplantation Unit; University of Bari; Bari Italy
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25
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Yu AR, Hasjim B, Yu LE, Gabriel C, Anshus A, Lee JB, Louthan MJ, Kim EC, Lee K, Tse C, Keown T, Lahham S, Alvarado M, Bunch S, Gari A, Fox JC. Comparison of ultrasound-measured properties of the common carotid artery to tobacco smoke exposure in a cohort of Indonesian patients. World J Emerg Med 2017; 8:177-183. [PMID: 28680513 DOI: 10.5847/wjem.j.1920-8642.2017.03.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND The purpose of this study was to use point-of-care ultrasound (POCUS) to investigate the relationship between tobacco smoke exposure and the characteristics of the common carotid artery (CCA). The effect of both primary and secondary smoking on CCA properties was evaluated. METHODS We performed a prospective cross-sectional study across 20 primary care clinics in Bandung, West Java, Indonesia in July 2016. Point of care ultrasound was performed on a convenience sample of Indonesian patients presenting to clinic. The CCA wall stiffness and carotid intima-media thickness (CIMT) were measured during diastole and systole. These measurements were correlated with smoke exposure and cardiovascular disease. RESULTS We enrolled 663 patients in the study, with 426 patients enrolled in the smoking category and 237 patients enrolled in the second-hand smoke category. There was an overall positive correlation with the measured lifestyle factors and the ultrasound-measured variables in the group of individuals who smoked. For all variables, age seemed to contribute the most out of all of the lifestyle factors for the positive changes in CIMT and CCA wall stiffness. CONCLUSION Our data yielded correlations between CCA properties and cardiovascular risk, as well as between CIMT and arterial stiffness. We were also able to demonstrate an increase in thickness of the CIMT in patients who have been exposed by tobacco through the use of ultrasound. Further large scale studies comparing patients with multiple cardiac risk factors need to be performed to confirm the utility of ultrasound findings of cardiovascular disease and stroke.
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Affiliation(s)
- Allen R Yu
- School of Medicine, University of California, Irvine, USA
| | - Bima Hasjim
- School of Medicine, University of California, Irvine, USA
| | - Luke E Yu
- School of Medicine, University of California, Irvine, USA
| | | | | | - Jonathan B Lee
- School of Medicine, University of California, Irvine, USA
| | | | - Esther C Kim
- School of Medicine, University of California, Irvine, USA
| | - Katrina Lee
- School of Medicine, University of California, Irvine, USA
| | - Christina Tse
- School of Medicine, University of California, Irvine, USA
| | - Thomas Keown
- School of Medicine, University of California, Irvine, USA
| | - Shadi Lahham
- Department of Emergency Medicine, University of California, Irvine, USA
| | - Maili Alvarado
- Department of Emergency Medicine, University of California, Irvine, USA
| | - Steven Bunch
- Department of Emergency Medicine, University of California, Irvine, USA
| | - Abdulatif Gari
- Department of Emergency Medicine, University of California, Irvine, USA
| | - J Christian Fox
- School of Medicine, University of California, Irvine, USA.,Department of Emergency Medicine, University of California, Irvine, USA
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26
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Gepner AD, Young R, Delaney JA, Budoff MJ, Polak JF, Blaha MJ, Post WS, Michos ED, Kaufman J, Stein JH. Comparison of Carotid Plaque Score and Coronary Artery Calcium Score for Predicting Cardiovascular Disease Events: The Multi-Ethnic Study of Atherosclerosis. J Am Heart Assoc 2017; 6:e005179. [PMID: 28196817 PMCID: PMC5523788 DOI: 10.1161/jaha.116.005179] [Citation(s) in RCA: 108] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2017] [Accepted: 01/11/2017] [Indexed: 12/18/2022]
Abstract
BACKGROUND Coronary artery calcium (CAC) predicts coronary heart disease (CHD) events better than carotid wall plaque presence; however, differences in the utility of CAC burden and carotid plaque burden across the spectrum of cardiovascular disease (CVD) events is unknown. METHODS AND RESULTS CVD, CHD and stroke/transient ischemic attack (TIA) events were evaluated prospectively in a multiethnic cohort without CVD at baseline. Carotid plaque score was determined by the number of ultrasound-detected plaques in the common, bifurcation, and internal carotid artery segments. CAC was detected by computed tomography. Predictive values were compared using Cox proportional hazards models, C-statistics, and net reclassification, adjusting for traditional CVD risk factors. At baseline, the 4955 participants were mean (SD) 61.6 (10.1) years old and 52.8% female; 48.9% had CAC >0 and 50.8% had at least 1 carotid plaque. After 11.3 (3.0) years of follow-up, 709 CVD, 498 CHD, and 262 stroke/TIA events occurred. CAC score compared to carotid plaque score was a stronger predictor of CVD (hazard ratio [HR], 1.78; 95% CI, 1.16-1.98; P<0.001 vs HR, 1.27; 95% CI, 1.16-1.40; P<0.001) and CHD events (HR, 2.09; 95% CI, 1.84-2.38; P<0.001 vs HR, 1.35; 95% CI, 1.21-1.51; P<0.001). CAC score and carotid plaque score were weak predictors of stroke/TIA. CAC score had better reclassification statistics than carotid plaque score, except for stroke/TIA, which had similar predictive values. CONCLUSIONS CAC score improved prediction, discrimination, and reclassification of CVD and CHD better than carotid ultrasound measures, although prediction and discrimination were similar for stroke/TIA.
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Affiliation(s)
- Adam D Gepner
- University of Wisconsin School of Medicine and Public Health, Madison, WI
| | | | | | | | | | | | | | | | | | - James H Stein
- University of Wisconsin School of Medicine and Public Health, Madison, WI
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