JACC. Cardiovascular imaging最新文献

{"title":"Allocation of Semaglutide According to Coronary Artery Calcium and BMI: Applying the SELECT Trial to MESA.","authors":"Alexander C Razavi, Alexander M Cao Zhang, Zeina A Dardari, Khurram Nasir, Michael Khorsandi, Martin Bødtker Mortensen, Mouaz H Al-Mallah, Michael D Shapiro, Melissa A Daubert, Roger S Blumenthal, Laurence S Sperling, Seamus P Whelton, Michael J Blaha, Omar Dzaye","doi":"10.1016/j.jcmg.2024.10.004","DOIUrl":"https://doi.org/10.1016/j.jcmg.2024.10.004","url":null,"abstract":"<p><strong>Background: </strong>Implementation of semaglutide weight loss therapy has been challenging due to drug supply and cost, underscoring a need to identify those who derive the greatest absolute benefit.</p><p><strong>Objectives: </strong>Allocation of semaglutide was modeled according to coronary artery calcium (CAC) among individuals without diabetes or established atherosclerotic cardiovascular disease (CVD).</p><p><strong>Methods: </strong>In this analysis, 3,129 participants in the MESA (Multi-Ethnic Study of Atherosclerosis) without diabetes or clinical CVD met body mass index criteria for semaglutide and underwent CAC scoring on noncontrast cardiac computed tomography. Cox proportional hazards regression assessed the association of CAC with major adverse cardiovascular events (MACE), heart failure (HF), chronic kidney disease (CKD), and all-cause mortality. Risk reduction estimates from the SELECT (Semaglutide Effects on Heart Disease and Stroke in Patients with Overweight or Obesity) trial (median follow-up: 3.3 years) were applied to observed incidence rates for semaglutide 5-year number-needed-to-treat calculations.</p><p><strong>Results: </strong>Mean age was 61.2 years, 54% were female, 62% were non-White, mean body mass index was 31.8 kg/m², and 49% had CAC. Compared with CAC = 0, CAC ≥300 conferred a 2.2-fold higher risk for MACE (HR: 2.16 [95% CI: 1.57-2.99]; P < 0.001). Higher risks for HF (HR: 2.80 [95% CI: 1.81-4.35]; P < 0.001), CKD (HR: 1.59 [95% CI: 1.15-2.22]; P = 0.006), and all-cause mortality (HR: 1.35 [95% CI: 1.08-1.69]; P = 0.009) comparing CAC ≥300 vs CAC = 0 were also observed. There were large 5-year number-needed-to-treat differences between CAC = 0 and CAC ≥300 for MACE (653 vs 79), HF (1,094 vs 144), CKD (1,044 vs 144), and all-cause mortality (408 vs 98).</p><p><strong>Conclusions: </strong>Measurement of CAC may enhance value of care with weight loss dose semaglutide in those without diabetes or clinical CVD, improving allocation of a limited health care resource.</p>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":" ","pages":""},"PeriodicalIF":12.8,"publicationDate":"2025-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142965076","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coronary Microvascular Function in Asymptomatic Middle-Aged Individuals With Cardiometabolic Risk Factors","authors":"Ana Devesa MD, PhD ,&nbsp;Valentin Fuster MD, PhD ,&nbsp;Inés García-Lunar MD PhD ,&nbsp;Belén Oliva BSc ,&nbsp;Ana García-Alvarez MD, PhD ,&nbsp;Andrea Moreno-Arciniegas MD ,&nbsp;Ravi Vazirani MD ,&nbsp;Cristina Pérez-Herreras MD ,&nbsp;Pablo Marina PhD ,&nbsp;Héctor Bueno MD, PhD ,&nbsp;Leticia Fernández-Friera MD, PhD ,&nbsp;Antonio Fernández-Ortiz MD, PhD ,&nbsp;Javier Sanchez-Gonzalez PhD ,&nbsp;Borja Ibanez MD, PhD","doi":"10.1016/j.jcmg.2024.08.002","DOIUrl":"10.1016/j.jcmg.2024.08.002","url":null,"abstract":"<div><h3>Background</h3><div>In patients with ischemic heart disease, coronary microvascular dysfunction is associated with cardiovascular risk factors and poor prognosis; however, data from healthy individuals are scarce.</div></div><div><h3>Objectives</h3><div>The purpose of this study was to assess the impact of cardiovascular risk factors and subclinical atherosclerosis on coronary microvascular function in middle-aged asymptomatic individuals.</div></div><div><h3>Methods</h3><div>Myocardial perfusion was measured at rest and under stress using cardiac magnetic resonance in 453 individuals and used to generate myocardial blood flow (MBF) maps and calculate myocardial perfusion reserve (MPR). Subclinical atherosclerosis was assessed using 3-dimensional vascular ultrasound of the carotid and femoral arteries and coronary artery calcium scoring at baseline and at 3-year follow-up.</div></div><div><h3>Results</h3><div>Median participant age was 52.6 years (range: 48.9-55.8 years), and 84.5% were male. After adjusting for age and sex, rest MBF was directly associated with the number of the metabolic syndrome components present (elevated waist circumference, systolic and diastolic blood pressure, fasting glucose, and triglycerides and low high-density lipoprotein cholesterol), insulin resistance (homeostatic model assessment for insulin resistance), and presence of diabetes. MPR was reduced in the presence of several metabolic syndrome components, elevated homeostatic model assessment for insulin resistance, and diabetes. Stress MBF was inversely associated with coronary artery calcium presence and with global plaque burden. Higher stress MBF and MPR were associated with less atherosclerosis progression (increase in plaque volume) at 3 years.</div></div><div><h3>Conclusions</h3><div>In asymptomatic middle-aged individuals free of known cardiovascular disease, the presence of cardiometabolic risk factors and systemic (poly-vascular) subclinical atherosclerosis are associated with impaired coronary microvascular function. Better coronary microvascular function reduces atherosclerosis progression at follow-up. (Progression of Early Subclinical Atherosclerosis [PESA]; <span><span>NCT01410318</span><svg><path></path></svg></span>)</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 1","pages":"Pages 48-58"},"PeriodicalIF":12.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142251230","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Incremental Prognostic Value of Carotid Plaque–RADS Over Stenosis Degree in Relation to Stroke Risk","authors":"Zhe Huang MD,&nbsp;Xue-Qing Cheng MD,&nbsp;Rui-Rui Lu MD,&nbsp;Xiao-Jun Bi MD, PhD,&nbsp;Ya-Ni Liu MD, PhD,&nbsp;You-Bin Deng MD, PhD","doi":"10.1016/j.jcmg.2024.07.004","DOIUrl":"10.1016/j.jcmg.2024.07.004","url":null,"abstract":"<div><h3>Background</h3><div>Recently, a standardized classification system for carotid atherosclerotic plaques, known as Carotid Plaque–RADS (Reporting and Data System), has been introduced. However, its capacity to improve stroke risk stratification beyond traditional stenosis degree assessment has not been extensively explored.</div></div><div><h3>Objectives</h3><div>This study aimed to determine the incremental prognostic value of Carotid Plaque–RADS over stenosis degree for stroke risk.</div></div><div><h3>Methods</h3><div>A retrospective analysis was performed on data from January 2010 to December 2021, involving subjects who underwent magnetic resonance imaging, computed tomography angiography, and ultrasound evaluations of the carotid artery. Disease-free survival (DFS) and recurrence-free survival (RFS) rates were compared across different stenosis degrees, Carotid Plaque–RADS categories, and their combination, using the Kaplan-Meier and net reclassification improvement formula.</div></div><div><h3>Results</h3><div>The study enrolled 1,378 subjects. During a follow-up period of 57 ± 25 months, 4.6% of 987 asymptomatic individuals and 16.9% of 391 subjects with stroke history experienced initial and recurrent strokes, respectively. Significant differences in DFS and RFS rates were found between subjects with mild/moderate and severe stenosis (<em>P &lt;</em> 0.001). Significant differences in DFS rates were observed across Carotid Plaque–RADS categories (<em>P &lt;</em> 0.001), with a notable decrease in DFS rates as Carotid Plaque–RADS categories increased from 1 to 4. This trend was similar in subjects with a history of stroke (<em>P &lt;</em> 0.001). For patients with mild/moderate stenosis, significant differences in DFS and RFS rates were found between those with Carotid Plaque–RADS of ≥3 vs &lt;3 (<em>P &lt;</em> 0.001). Correct reclassification was achieved for 3.3% (32 of 979) of asymptomatic individuals and 9.7% (37 of 381) of subjects with a stroke history initially identified with mild/moderate stenosis. Incorporating Carotid Plaque–RADS with stenosis grading markedly improved risk assessment, resulting in net reclassification improvement of 63.8% for initial stroke and 47.8% for recurrent stroke prediction. The likelihood ratio test demonstrated that Carotid Plaque–RADS scores significantly enhanced the prognostic accuracy of stenosis degrees for both asymptomatic individuals and patients with a history of stroke (both <em>P &lt;</em> 0.001).</div></div><div><h3>Conclusions</h3><div>Carotid Plaque–RADS significantly improves stroke risk stratification over traditional stenosis grading, especially in mild/moderate stenosis cases.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 1","pages":"Pages 77-89"},"PeriodicalIF":12.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142145680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stress CMR Perfusion Imaging in the Medicare-Eligible Population","authors":"Yin Ge MD ,&nbsp;Panagiotis Antiochos MD ,&nbsp;Benedikt Bernhard MD ,&nbsp;Bobak Heydari MD ,&nbsp;Kevin Steel DO ,&nbsp;Scott Bingham MD ,&nbsp;J. Ronald Mikolich MD ,&nbsp;Andrew E. Arai MD ,&nbsp;W. Patricia Bandettini MD ,&nbsp;Amit R. Patel MD ,&nbsp;Sujata M. Shanbhag ,&nbsp;Afshin Farzaneh-Far MD, PhD ,&nbsp;John F. Heitner MD ,&nbsp;Chetan Shenoy MD ,&nbsp;Steve W. Leung MD ,&nbsp;Jorge A. Gonzalez MD ,&nbsp;Dipan J. Shah MD ,&nbsp;Subha V. Raman MD ,&nbsp;Victor A. Ferrari MD ,&nbsp;Jeanette Schulz-Menger MD ,&nbsp;Raymond Y. Kwong MD, MPH","doi":"10.1016/j.jcmg.2024.07.029","DOIUrl":"10.1016/j.jcmg.2024.07.029","url":null,"abstract":"<div><h3>Background</h3><div>Patients aged ≥65 years account for a disproportionately large portion of cardiovascular (CV) events and pose a challenge for noninvasive detection of coronary artery disease.</div></div><div><h3>Objectives</h3><div>This study sought to determine the prognostic value of stress cardiac magnetic resonance (CMR) in a Medicare-eligible group of patients in a multicenter setting in the United States.</div></div><div><h3>Methods</h3><div>From a multicenter U.S. registry, the study identified patients aged ≥65 years who were referred for stress CMR for evaluation of myocardial inducible ischemia. The primary outcome was defined as CV death or nonfatal myocardial infarction, whereas the secondary outcome was defined as any primary outcome, hospitalization for unstable angina, hospitalization for congestive heart failure, and unplanned late coronary artery bypass grafting. The associations of CMR findings with CV outcomes adjusted to clinical risk markers and health care cost spending were determined.</div></div><div><h3>Results</h3><div>Among 1,780 patients (aged 73 ± 5.7 years; 46% female), study investigators observed 144 primary events and 323 secondary events, over a median follow-up of 4.8 years. The presence of inducible ischemia and late gadolinium enhancement (LGE) was associated with incrementally higher event rates. Patients with neither inducible ischemia nor LGE experienced a &lt;1% annualized rate of primary outcome. In a multivariable model adjusted for CV risk factors, inducible ischemia and LGE maintained an independent association with primary (HR: 2.80 [95% CI: 1.93-4.05]; <em>P &lt;</em> 0.001; and HR: 1.85 [95% CI: 1.21-2.82]; <em>P =</em> 0.004, respectively) and secondary (HR: 2.46 [95% CI: 1.90-3.19]; <em>P &lt;</em> 0.001; and HR: 1.72 [95% CI: 1.30-2.27]; <em>P &lt;</em> 0.001, respectively) outcomes. Rates of revascularization, as well as downstream costs for patients without CMR-detected inducible ischemia, remained low throughout the follow-up period.</div></div><div><h3>Conclusions</h3><div>In a multicenter cohort of Medicare-eligible older patients, stress CMR was effective in providing risk stratification. (Stress CMR Perfusion Imaging in the United States [SPINS] study; <span><span>NCT03192891</span><svg><path></path></svg></span>)</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 1","pages":"Pages 33-44"},"PeriodicalIF":12.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142465944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An Automated Machine Learning–Based Quantitative Multiparametric Approach for Mitral Regurgitation Severity Grading","authors":"Anita Sadeghpour MD ,&nbsp;Zhubo Jiang ,&nbsp;Yoran M. Hummel PhD ,&nbsp;Matthew Frost BE ,&nbsp;Carolyn S.P. Lam MD ,&nbsp;Sanjiv J. Shah MD ,&nbsp;Lars H. Lund MD ,&nbsp;Gregg W. Stone MD ,&nbsp;Madhav Swaminathan MD ,&nbsp;Neil J. Weissman MD ,&nbsp;Federico M. Asch MD","doi":"10.1016/j.jcmg.2024.06.011","DOIUrl":"10.1016/j.jcmg.2024.06.011","url":null,"abstract":"<div><h3>Background</h3><div>Considering the high prevalence of mitral regurgitation (MR) and the highly subjective, variable MR severity reporting, an automated tool that could screen patients for clinically significant MR (≥ moderate) would streamline the diagnostic/therapeutic pathways and ultimately improve patient outcomes.</div></div><div><h3>Objectives</h3><div>The authors aimed to develop and validate a fully automated machine learning (ML)–based echocardiography workflow for grading MR severity.</div></div><div><h3>Methods</h3><div>ML algorithms were trained on echocardiograms from 2 observational cohorts and validated in patients from 2 additional independent studies. Multiparametric echocardiography core laboratory MR assessment served as ground truth. The machine was trained to measure 16 MR-related parameters. Multiple ML models were developed to find the optimal parameters and preferred ML model for MR severity grading.</div></div><div><h3>Results</h3><div>The preferred ML model used 9 parameters. Image analysis was feasible in 99.3% of cases and took 80 ± 5 seconds per case. The accuracy for grading MR severity (none to severe) was 0.80, and for significant (moderate or severe) vs nonsignificant MR was 0.97 with a sensitivity of 0.96 and specificity of 0.98. The model performed similarly in cases of eccentric and central MR. Patients graded as having severe MR had higher 1-year mortality (adjusted HR: 5.20 [95% CI: 1.24-21.9]; <em>P =</em> 0.025 compared with mild).</div></div><div><h3>Conclusions</h3><div>An automated multiparametric ML model for grading MR severity is feasible, fast, highly accurate, and predicts 1-year mortality. Its implementation in clinical practice could improve patient care by facilitating referral to specialized clinics and access to evidence-based therapies while improving quality and efficiency in the echocardiography laboratory.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 1","pages":"Pages 1-12"},"PeriodicalIF":12.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141995756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Academic Profile and Gender Representation of Advanced Cardiac Imaging Fellowship Program Directors in the United States","authors":"Vivek Bhat MBBS,&nbsp;Ashish Kumar MD,&nbsp;Ankur Kalra MD, MSc,&nbsp;Nandan Anavekar MBBCh,&nbsp;Lauren A. Baldassarre MD,&nbsp;Roosha Parikh MD,&nbsp;Purvi Parwani MBBS, MPH","doi":"10.1016/j.jcmg.2024.07.016","DOIUrl":"10.1016/j.jcmg.2024.07.016","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 1","pages":"Pages 116-118"},"PeriodicalIF":12.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142145677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Timing of Regadenoson-Induced Peak Hyperemia and the Effects on Coronary Flow Reserve","authors":"Nathan Kattapuram BS,&nbsp;Shahrad Shadman MD,&nbsp;Eric E. Morgan MD, PhD,&nbsp;Charles Benton AS,&nbsp;Stacian Awojoodu DNP,&nbsp;Dong-Yun Kim PhD,&nbsp;Joao Ramos MD, PhD,&nbsp;Ana Barac MD, PhD,&nbsp;W. Patricia Bandettini MD,&nbsp;Peter Kellman PhD,&nbsp;Gaby Weissman MD,&nbsp;Marcus Carlsson MD, PhD","doi":"10.1016/j.jcmg.2024.08.010","DOIUrl":"10.1016/j.jcmg.2024.08.010","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 1","pages":"Pages 125-127"},"PeriodicalIF":12.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142500765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Right Ventricular Systolic Strain Reference Ranges Across Contemporary Vendor-Neutral Echocardiography Software in Healthy Patients","authors":"Elio Haroun MD,&nbsp;Ankit Agrawal MD,&nbsp;Joseph El Dahdah MD,&nbsp;Tiffany Dong MD,&nbsp;Aro Daniela Arockiam MD,&nbsp;Muhammad Majid MD,&nbsp;Sharmeen Sorathia MD,&nbsp;Richard A. Grimm DO,&nbsp;L. Leonardo Rodriguez MD,&nbsp;Zoran B. Popovic MD, PhD,&nbsp;Brian P. Griffin MD,&nbsp;Tom Kai Ming Wang MBChB, MD","doi":"10.1016/j.jcmg.2024.08.008","DOIUrl":"10.1016/j.jcmg.2024.08.008","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 1","pages":"Pages 122-124"},"PeriodicalIF":12.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142465943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical Characteristics and Outcomes of Patients With Takotsubo Syndrome and Left Ventricular Outflow Tract Obstruction","authors":"Davide Di Vece MD,&nbsp;Michele Bellino MD,&nbsp;Angelo Silverio MD, PhD,&nbsp;Serena Migliarino MD,&nbsp;Eduardo Bossone MD, PhD,&nbsp;Fernando Scudiero MD,&nbsp;Giuseppina Novo MD,&nbsp;Matteo Cameli MD, PhD,&nbsp;Olga Vriz MD,&nbsp;Aneta Aleksova MD,&nbsp;Concetta Zito MD,&nbsp;Pasquale Innelli MD,&nbsp;Fausto Rigo MD,&nbsp;Mario Cristiano MD,&nbsp;Jorge Salerno-Uriarte MD,&nbsp;Tiziana Attisano MD,&nbsp;Gennaro Galasso MD, PhD,&nbsp;Guido Parodi MD, PhD,&nbsp;Gianfranco Sinagra MD,&nbsp;Carmine Vecchione MD, PhD,&nbsp;Rodolfo Citro MD, PhD","doi":"10.1016/j.jcmg.2024.07.015","DOIUrl":"10.1016/j.jcmg.2024.07.015","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 1","pages":"Pages 119-121"},"PeriodicalIF":12.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142125758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Complex Relationship Between Risk Factor Exposure and Coronary Epicardial as Well as Microvascular Disease","authors":"João A.C. Lima MD ,&nbsp;Joanne D. Schuijf PhD","doi":"10.1016/j.jcmg.2024.09.011","DOIUrl":"10.1016/j.jcmg.2024.09.011","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 1","pages":"Pages 59-61"},"PeriodicalIF":12.8,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142785417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}