{"title":"Obicetrapib and renal function: A welcome signal, but not yet a kidney story","authors":"Fotios Barkas , Kausik K. Ray","doi":"10.1016/j.ajpc.2026.101546","DOIUrl":"10.1016/j.ajpc.2026.101546","url":null,"abstract":"","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"27 ","pages":"Article 101546"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148196013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Juan David Coellar , Neil Keshvani , Anand K. Jain , Muhammad Shariq Usman , Matthew W. Segar , James W. Miller , Myriam Bustillo-Rubio , Dharam J. Kumbhani , Mohanakrishnan Sathyamoorthy , Javed Butler , Subhash Banerjee , Sean Yates , Thomas J. Wang , Ambarish Pandey
{"title":"A polypill strategy for lipid lowering and anti-platelet therapy after acute coronary syndrome: A pilot randomized controlled trial","authors":"Juan David Coellar , Neil Keshvani , Anand K. Jain , Muhammad Shariq Usman , Matthew W. Segar , James W. Miller , Myriam Bustillo-Rubio , Dharam J. Kumbhani , Mohanakrishnan Sathyamoorthy , Javed Butler , Subhash Banerjee , Sean Yates , Thomas J. Wang , Ambarish Pandey","doi":"10.1016/j.ajpc.2026.101499","DOIUrl":"10.1016/j.ajpc.2026.101499","url":null,"abstract":"<div><h3>Background</h3><div>Medication non-adherence following acute coronary syndrome (ACS) is common, especially among underserved populations. The use of fixed-dose combination pills (polypills) may improve both adherence and prescription practices.</div></div><div><h3>Methods</h3><div>This open-label, two-center pilot RCT enrolled adults within 30 days of ACS with stent placement and randomized them 1:1 to a once-daily polypill (aspirin 81 mg, rosuvastatin 40 mg, and clopidogrel 75 mg or prasugrel 10 mg) versus usual care. Key endpoints were follow-up LDL-C levels and platelet reactivity, measured by impedance aggregometry (ohms [Ω]; lower=worse aggregation/better inhibition) at 30 days. Medication adherence was assessed with the Morisky Medication Adherence Scale (range 0–8, higher=better adherence). Treatment effects were reported as least squares means (LSM) differences using baseline-adjusted linear regression models.</div></div><div><h3>Results</h3><div>Among 140 randomized participants (median age 58 years, 29 % female, 14 % Black, 63 % Hispanic), 128 (91 %) completed follow-up. Index ACS events were STEMI (29 %), NSTEMI (51 %), and unstable angina (19 %). There was no significant difference between polypill and usual care in LDL-C (LSM difference: -4.58 mg/dL, 95 % CI -12.68 to 3.52, <em>p</em> = 0.27) and platelet reactivity (-0.08Ω, 95 % CI -0.96, 1.11, <em>p</em> = 0.88) at 30 days. Similarly, medication adherence was similar between groups at 30 days (MMAS-8 LSM difference: 0.13, 95 % CI -0.23 to 0.49, <em>p</em> = 0.47). Composite emergency department visits and hospitalizations over 30 days were similar between groups (polypill vs usual care: 0.14 vs 0.18 events/participant, <em>p</em> = 0.67).</div></div><div><h3>Conclusions</h3><div>This pilot RCT demonstrated the feasibility of a polypill strategy incorporating P2Y12 inhibitors, aspirin, and high-intensity statin in the post-ACS period. Larger, longer-duration trials are needed to evaluate clinical effects.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"27 ","pages":"Article 101499"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148196018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimating residual inflammatory risk: Further insights into repeat hsCRP Testing from the UK BioBank","authors":"Paul M Ridker","doi":"10.1016/j.ajpc.2026.101526","DOIUrl":"10.1016/j.ajpc.2026.101526","url":null,"abstract":"","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"27 ","pages":"Article 101526"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148196098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cheng Hwee Soh , Shaun Khanna , Jingqin Wu , Prasanna Venkataraman , Corey Giles , Nitesh Nerlekar , Melinda Carrington , Gerald F Watts , Stephen J Nicholls , Peter Meikle , Thomas H Marwick
{"title":"Screening for high coronary plaque volume in primary prevention: integration of multi-omics and coronary calcium scoring into cardiovascular risk assessment","authors":"Cheng Hwee Soh , Shaun Khanna , Jingqin Wu , Prasanna Venkataraman , Corey Giles , Nitesh Nerlekar , Melinda Carrington , Gerald F Watts , Stephen J Nicholls , Peter Meikle , Thomas H Marwick","doi":"10.1016/j.ajpc.2026.101461","DOIUrl":"10.1016/j.ajpc.2026.101461","url":null,"abstract":"<div><h3>Background</h3><div>Atherosclerotic plaque volume (PV) predicts future cardiovascular events. As coronary computed tomography angiography (CCTA) is unsuitable for population screening, individuals with high total (T)PV often remain undetected.</div></div><div><h3>Objective</h3><div>To evaluate the relative and incremental contributions of lipidomic risk score (LRS), polygenic risk score (PRS), and coronary artery calcium score (CAC) improves screening for high TPV.</div></div><div><h3>Methods</h3><div>Primary prevention participants in two trials underwent clinical assessment, CAC, and blood sampling for LRS and PRS. CCTA was obtained in participants with CAC>0 and ≤400. Associations between risk scores and TPV were assessed using linear regression. Logistic regression identified predictors of high TPV; model performance was evaluated using area under the curve (AUC), net reclassification index (NRI), and integrated discrimination index (IDI).</div></div><div><h3>Results</h3><div>In the development cohort (<em>n</em> = 232, mean age 58.5 years), CAC showed the strongest correlation with TPV (R<sup>2</sup>=0.69). Multivariable regression analyses showed that CAC was the only predictor for high TPV (OR 1.03 per 10-point increase [95%CI 1.02–1.03]). In the validation cohort (<em>n</em> = 199, mean age 61.7 years), the AUC was shown to improve from 0.50 with MESA 10-year cardiovascular risk score (without CAC) to 0.91 with the addition of LRS, PRS and CAC (<em>p</em> < 0.001). The continuous NRI was shown to be +1.36 and IDI to be +0.38.</div></div><div><h3>Conclusion</h3><div>CAC was the dominant determinant of high coronary plaque volume and accounted for the majority of predictive performance. LRS and PRS provided only modest incremental value beyond CAC and clinical risk, supporting their role as complementary rather than primary screening tools.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"27 ","pages":"Article 101461"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148196103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Coronary artery calcium should be the complement to and not the end result of clinical risk scores","authors":"Eric J. Brandt , Romit Bhattacharya","doi":"10.1016/j.ajpc.2026.101472","DOIUrl":"10.1016/j.ajpc.2026.101472","url":null,"abstract":"","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"27 ","pages":"Article 101472"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148196104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pei-Lun Lee , Kuan-Yu Chi , Shao-Wei Lo , Yung-Fang Tu , Yu Chang , Raiza Rossi , Zafer Akman , Armin Nouri , Michele Nanna , Abdulla A. Damluji , Michael G. Nanna
{"title":"Global trends in lipoprotein(a) and high-sensitivity c-reactive protein testing in patients with established atherosclerotic cardiovascular disease","authors":"Pei-Lun Lee , Kuan-Yu Chi , Shao-Wei Lo , Yung-Fang Tu , Yu Chang , Raiza Rossi , Zafer Akman , Armin Nouri , Michele Nanna , Abdulla A. Damluji , Michael G. Nanna","doi":"10.1016/j.ajpc.2026.101510","DOIUrl":"10.1016/j.ajpc.2026.101510","url":null,"abstract":"<div><div>None.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"27 ","pages":"Article 101510"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148195375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sarina Chadha , Gourisree Dharmavaram , Brielle Martinez , Ayaan Mahmud , Dahlia Adler , Raphael Cuomo , Harpreet S. Bhatia , Mattheus Ramsis , Michael J. Wilkinson , Brett C. Meyer , Pam R. Taub
{"title":"High prevalence of vascular calcification in young stroke patients","authors":"Sarina Chadha , Gourisree Dharmavaram , Brielle Martinez , Ayaan Mahmud , Dahlia Adler , Raphael Cuomo , Harpreet S. Bhatia , Mattheus Ramsis , Michael J. Wilkinson , Brett C. Meyer , Pam R. Taub","doi":"10.1016/j.ajpc.2026.101647","DOIUrl":"10.1016/j.ajpc.2026.101647","url":null,"abstract":"","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"27 ","pages":"Article 101647"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148195746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Evan S. Manning , Gautam R. Shroff , David R. Jacobs , Daniel A. Duprez
{"title":"Subclinical coronary artery calcification is associated with future inflammatory conditions in the multi-ethnic study of atherosclerosis","authors":"Evan S. Manning , Gautam R. Shroff , David R. Jacobs , Daniel A. Duprez","doi":"10.1016/j.ajpc.2026.101496","DOIUrl":"10.1016/j.ajpc.2026.101496","url":null,"abstract":"<div><h3>Background</h3><div>Inflammation is integral to cardiovascular disease (CVD). We previously defined Chronic Inflammatory-Related Disease (ChrIRD) as a collective of various non-cardiovascular and non-cancer conditions with a common basis of inflammation. ChrIRD has a bidirectional association with CVD. As both coronary artery calcification (CAC) and ChrIRD have inflammatory associations, we hypothesize that baseline CAC predicts future ChrIRD.</div></div><div><h3>Methods</h3><div>We studied Multi-Ethnic Study of Atherosclerosis participants free of overt CVD at baseline. ChrIRD was determined based on ICD codes for hospitalizations and deaths. All participants underwent baseline ECG-gated non-contrast CT with Agatston scoring for CAC quantification. We performed proportional hazards regression to identify associations between baseline CAC, baseline inflammatory markers, and future ChrIRD.</div></div><div><h3>Results</h3><div>Participants (<em>n</em> = 6791) had mean age 62 ± 10 years, with 47 % men, 38 % White, 28 % Black, 22 % Hispanic, and 12 % Chinese race/ethnicity. During 18-year follow-up, ChrIRD occurred in 16 %. Increasing baseline Agatston score was associated with increased risk for future ChrIRD compared to baseline Agatston score 0. Agatston score (HR per SD 1.20) was as strong a predictor of ChrIRD as baseline interleukin-6 (IL-6) levels (HR per SD 1.21).</div></div><div><h3>Conclusions</h3><div>Increasing baseline CAC among individuals free of overt CVD or other significant illness is associated with progressive risk of future ChrIRD. Agatston score was as predictive as IL-6. These findings support CAC as a subclinical marker of systemic inflammation, not limited to the coronary vasculature alone.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"27 ","pages":"Article 101496"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148195752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shubham Tomar , Karita C.F. Lidani , Matthew Dekker , Aline A.I. Moraes , Wendy S. Post , Patrick J. Trainor , Craig W. Johnson , Susan R. Heckbert , Roger S. Blumenthal , Robyn L. McClelland , Yunbi Nam , Khurram Nasir , Michael J. Blaha , Andrew P. DeFilippis
{"title":"Etiological myocardial injury classification versus binary myocardial infarction classification in the multi-ethnic study of atherosclerosis (MESA)","authors":"Shubham Tomar , Karita C.F. Lidani , Matthew Dekker , Aline A.I. Moraes , Wendy S. Post , Patrick J. Trainor , Craig W. Johnson , Susan R. Heckbert , Roger S. Blumenthal , Robyn L. McClelland , Yunbi Nam , Khurram Nasir , Michael J. Blaha , Andrew P. DeFilippis","doi":"10.1016/j.ajpc.2026.101525","DOIUrl":"10.1016/j.ajpc.2026.101525","url":null,"abstract":"<div><h3>Background</h3><div>Prospective cohorts almost exclusively classified acute myocardial injury as a binary entity—presence or absence of myocardial infarction (MI).</div></div><div><h3>Objective</h3><div>To compare Binary Classification of MI used in the Multi-Ethnic Study of Atherosclerosis (MESA) to an Etiological Classification of myocardial injury.</div></div><div><h3>Methods</h3><div>Comparison of two different MI adjudication systems in 6809 participants aged 45–84 years old from MESA, a community-dwelling cohort free of cardiovascular disease at enrollment (2000). The Binary Classification defined events as MI versus \"No MI\". The Etiological Classification, based on the Fourth Universal Definition of MI, categorized events as MI (types 1–5), acute non-ischemic myocardial injury, chronic myocardial injury, and no myocardial injury. Number and distribution of myocardial infarction/injury events identified by each classification system were compared.</div></div><div><h3>Results</h3><div>Binary Classification identified 333 MI events, while Etiological Classification identified 406 MIs, of which 202 (49.8%) were type 1 MI and 182 (44.8%) were type 2 MI, 22 (5.4%) were other MI types. Notably, 147 events (33 type 1 MI, 105 type 2 MI, 9 other MI types) were newly captured as MI with the Etiological Classification that were classified as No-MI by the Binary Classification. Among the 333 MI identified by the Binary Classification, 51% were type 1 MI (<em>N</em> = 169), 23% as type 2 MI (<em>N</em> = 77) and 17% as acute non-ischemic myocardial injury (<em>N</em> = 55) in the Etiological Classification.</div></div><div><h3>Conclusions</h3><div>Etiological Classification identifies additional, etiologically distinct myocardial injury events. Almost half of the events identified as an MI by Binary Classification were identified as type 2 MI or acute non-ischemic myocardial injury by Etiological Classification.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"27 ","pages":"Article 101525"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148195755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Steatotic liver disease indices for cardiovascular event prediction: Panasonic cohort study 28","authors":"Nozomi Kuramoto , Hiroshi Okada , Hanako Nakajima , Naoko Nakanishi , Emi Ushigome , Masahide Hamaguchi , Toshiaki Ohkuma , Daisuke Tanaka , Teruki Miyake , Kazushiro Kurogi , Hiroaki Murata , Eri Tsuda , Naoki Yoshida , Masato Ito , Michiaki Fukui","doi":"10.1016/j.ajpc.2026.101541","DOIUrl":"10.1016/j.ajpc.2026.101541","url":null,"abstract":"<div><h3>Background</h3><div>Noninvasive hepatic steatosis indices may aid in cardiovascular risk assessment; however, their comparative predictive abilities remain uncertain.</div></div><div><h3>Methods</h3><div>We analyzed data from 134,604 Japanese adults aged ≥ 40 years who underwent health checkups between 2011 and 2020. Four indices (the ZJU index, Hepatic Steatosis Index (HSI), Fatty Liver Index (FLI), and K-NAFLD score) were evaluated for their ability to predict major adverse cardiovascular events (MACE). Time-dependent receiver operating characteristic (ROC) analyses based on 10-year follow-up were performed using univariable Cox models including each index. The area under the ROC curve (AUC) was calculated to assess predictive performance. We compared AUCs between pairs of indices to determine which performed better, using 1,000 bootstrap resamples and 95 % confidence intervals.</div></div><div><h3>Results</h3><div>During a total follow-up period of approximately 860,000 person-years, 3,532 participants developed MACE (incidence: 4 per 1,000 person-years). All indices were significantly associated with MACE incidence. FLI showed the highest AUC for predicting MACE (0.615), followed by the K-NAFLD score (0.613), with optimal cutoffs of 23.33 and –2.61, respectively. Both indices outperformed the ZJU index and HSI, with statistically significant differences in AUCs. No significant difference was observed between FLI and the K-NAFLD score.</div></div><div><h3>Conclusions</h3><div>The FLI and K-NAFLD score demonstrated relatively better predictive performance for cardiovascular events compared with the ZJU index and HSI. These findings may support their use in public health screening and clinical risk stratification.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"27 ","pages":"Article 101541"},"PeriodicalIF":5.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148195694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}