Marianna Fontana MD, PhD , Adam Ioannou MBBS, BSc, PhD , Sarah Cuddy MBBCH, BAO , Sharmila Dorbala MD, MPH , Ahmad Masri MD , James C. Moon MD , Vasvi Singh MD , Olivier Clerc MD , Mazen Hanna MD , Fredrick Ruberg MD , Martha Grogan MD , Michele Emdin MD, PhD , Julian Gillmore MD, PhD
{"title":"The Last Decade in Cardiac Amyloidosis","authors":"Marianna Fontana MD, PhD , Adam Ioannou MBBS, BSc, PhD , Sarah Cuddy MBBCH, BAO , Sharmila Dorbala MD, MPH , Ahmad Masri MD , James C. Moon MD , Vasvi Singh MD , Olivier Clerc MD , Mazen Hanna MD , Fredrick Ruberg MD , Martha Grogan MD , Michele Emdin MD, PhD , Julian Gillmore MD, PhD","doi":"10.1016/j.jcmg.2024.10.011","DOIUrl":"10.1016/j.jcmg.2024.10.011","url":null,"abstract":"<div><div>Cardiac amyloidosis represents a unique disease process characterized by amyloid fibril deposition within the myocardial extracellular space. Advances in multimodality cardiac imaging enable accurate diagnosis and facilitate prompt initiation of disease-modifying therapies. Furthermore, rapid advances in multimodality imaging have enriched understanding of the underlying pathogenesis, enhanced prognostication, and resulted in the development of imaging-based markers that reflect the amyloid burden, which is of increasing importance when assessing the response to treatment. Whereas conventional therapies have focused on reducing amyloid formation and subsequent stabilization of the cardiac disease process, novel agents are being developed to accelerate the immune-mediated removal of amyloid fibrils from the heart. In this context, the ability to track changes in the amyloid burden over time is of paramount importance. Although advanced imaging techniques have shown efficacy in tracking the treatment response, future research focused on improved precision through use of artificial intelligence may augment the detection of changes earlier in the course of treatment.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 4","pages":"Pages 478-499"},"PeriodicalIF":12.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142965088","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}
Harlan M. Krumholz MD, SM (Editor-in-Chief, JACC), Biykem Bozkurt MD, PhD (Editor-in-Chief, JACC: Heart Failure), Y. Chandrashekhar MD (Editor-in-Chief, JACC: Cardiovascular Imaging), Bonnie Ky MD, MSCE (Editor-in-Chief, JACC: CardioOncology), Douglas L. Mann MD (Editor-in-Chief, JACC: Basic to Translational Science), David J. Moliterno MD (Editor-in-Chief, JACC: Cardiovascular Interventions), Kalyanam Shivkumar MD, PhD (Editor-in-Chief, JACC: Clinical Electrophysiology), Candice K. Silversides MD (Editor-in-Chief, JACC: Advances), Gilbert H.L. Tang MD, MSc, MBA (Editor-in-Chief, JACC: Case Reports), Jian’an Wang MD, PhD (Editor-in-Chief, JACC: Asia)
{"title":"Articulating the JACC Journals’ Direction in Times of Global Change","authors":"Harlan M. Krumholz MD, SM (Editor-in-Chief, JACC), Biykem Bozkurt MD, PhD (Editor-in-Chief, JACC: Heart Failure), Y. Chandrashekhar MD (Editor-in-Chief, JACC: Cardiovascular Imaging), Bonnie Ky MD, MSCE (Editor-in-Chief, JACC: CardioOncology), Douglas L. Mann MD (Editor-in-Chief, JACC: Basic to Translational Science), David J. Moliterno MD (Editor-in-Chief, JACC: Cardiovascular Interventions), Kalyanam Shivkumar MD, PhD (Editor-in-Chief, JACC: Clinical Electrophysiology), Candice K. Silversides MD (Editor-in-Chief, JACC: Advances), Gilbert H.L. Tang MD, MSc, MBA (Editor-in-Chief, JACC: Case Reports), Jian’an Wang MD, PhD (Editor-in-Chief, JACC: Asia)","doi":"10.1016/j.jcmg.2025.02.002","DOIUrl":"10.1016/j.jcmg.2025.02.002","url":null,"abstract":"","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 4","pages":"Pages 522-523"},"PeriodicalIF":12.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791697","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}
Jelena Pavlović MD, MSc , Daniel Bos MD, PhD , M. Kamran Ikram MD, PhD , M. Arfan Ikram MD, PhD , Maryam Kavousi MD, PhD , Maarten J.G. Leening MD, PhD
{"title":"Guideline-Directed Application of Coronary Artery Calcium Scores for Primary Prevention of Atherosclerotic Cardiovascular Disease","authors":"Jelena Pavlović MD, MSc , Daniel Bos MD, PhD , M. Kamran Ikram MD, PhD , M. Arfan Ikram MD, PhD , Maryam Kavousi MD, PhD , Maarten J.G. Leening MD, PhD","doi":"10.1016/j.jcmg.2024.12.008","DOIUrl":"10.1016/j.jcmg.2024.12.008","url":null,"abstract":"<div><h3>Background</h3><div>The 2018 ACC (American College of Cardiology)/AHA (American Heart Association) and 2021 ESC (European Society of Cardiology)/EAS (European Atherosclerosis Society) guidelines recommend coronary artery calcium (CAC) score for risk refinement in primary prevention of atherosclerotic cardiovascular disease (ASCVD).</div></div><div><h3>Objectives</h3><div>This study sought to compare CAC utility as a risk-refining tool following the ACC/AHA guideline using pooled cohort equations (PCE) or PREVENT (Predicting Risk of cardiovascular disease EVENTs) equations and ESC/EAS guideline using SCORE2 (Systematic COronary Risk Evaluation 2).</div></div><div><h3>Methods</h3><div>A total of 1,903 statin-naive participants 55 to 75 years of age, free of ASCVD and diabetes, with low-density lipoprotein cholesterol <190 mg/dL from the prospective population-based Rotterdam Study were included. Per the guidelines, we determined proportions of CAC scan–eligible and reclassified men and women, ASCVD incidence rates, and numbers needed to treat for 10 years (NNT<sub>10y</sub>).</div></div><div><h3>Results</h3><div>By the ACC/AHA (PCE), 18.3% of men and 11.9% of women, and by ACC/AHA (PREVENT), 13.4% of men and 3.4% of women were eligible for a CAC scan. By the ESC/EAS, 46.6% of men and 44.9% of women were CAC eligible. Proportions of uprisked and derisked individuals varied per guideline. Among ACC/AHA and ESC/EAS CAC-eligible individuals, incidence rates ranged from 9.3 to 23.8 per 1,000 person-years, and the estimated NNT<sub>10y</sub> to prevent 1 ASCVD event, based on high-intensity statin use, varied from 11 to 26.</div></div><div><h3>Conclusions</h3><div>The ACC/AHA and ESC/EAS guidelines differ in the selection and application of the CAC score for primary prevention of ASCVD. Guideline-directed application of CAC score in a middle-aged apparently healthy population improved risk stratification at an acceptable NNT<sub>10y</sub> for both guidelines.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 4","pages":"Pages 465-475"},"PeriodicalIF":12.8,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143567061","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}
Alexander C. Razavi MD, MPH, PhD , Alexander M. Cao Zhang MD , Zeina A. Dardari MS , Khurram Nasir MD, MPH, MSc , Michael Khorsandi MD , Martin Bødtker Mortensen MD, PhD , Mouaz H. Al-Mallah MD, MSc , Michael D. Shapiro DO, MCR , Melissa A. Daubert MD , Roger S. Blumenthal MD , Laurence S. Sperling MD , Seamus P. Whelton MD, MPH , Michael J. Blaha MD, MPH , Omar Dzaye MD, MPH, PhD
{"title":"Allocation of Semaglutide According to Coronary Artery Calcium and BMI","authors":"Alexander C. Razavi MD, MPH, PhD , Alexander M. Cao Zhang MD , Zeina A. Dardari MS , Khurram Nasir MD, MPH, MSc , Michael Khorsandi MD , Martin Bødtker Mortensen MD, PhD , Mouaz H. Al-Mallah MD, MSc , Michael D. Shapiro DO, MCR , Melissa A. Daubert MD , Roger S. Blumenthal MD , Laurence S. Sperling MD , Seamus P. Whelton MD, MPH , Michael J. Blaha MD, MPH , Omar Dzaye MD, MPH, PhD","doi":"10.1016/j.jcmg.2024.10.004","DOIUrl":"10.1016/j.jcmg.2024.10.004","url":null,"abstract":"<div><h3>Background</h3><div>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.</div></div><div><h3>Objectives</h3><div>Allocation of semaglutide was modeled according to coronary artery calcium (CAC) among individuals without diabetes or established atherosclerotic cardiovascular disease (CVD).</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>Mean age was 61.2 years, 54% were female, 62% were non-White, mean body mass index was 31.8 kg/m<sup>2</sup>, 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]; <em>P <</em> 0.001). Higher risks for HF (HR: 2.80 [95% CI: 1.81-4.35]; <em>P <</em> 0.001), CKD (HR: 1.59 [95% CI: 1.15-2.22]; <em>P =</em> 0.006), and all-cause mortality (HR: 1.35 [95% CI: 1.08-1.69]; <em>P =</em> 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).</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":14767,"journal":{"name":"JACC. Cardiovascular imaging","volume":"18 4","pages":"Pages 451-461"},"PeriodicalIF":12.8,"publicationDate":"2025-04-01","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}