American journal of preventive cardiology最新文献

{"title":"Composite socio-environmental risk score for cardiovascular assessment: An explainable machine learning approach","authors":"Zhuo Chen ,&nbsp;Jean-Eudes Dazard ,&nbsp;Pedro Rafael Vieira de Oliveira Salerno ,&nbsp;Santosh Kumar Sirasapalli ,&nbsp;Mohamed HE Makhlouf ,&nbsp;Sanjay Rajagopalan ,&nbsp;Sadeer Al-Kindi","doi":"10.1016/j.ajpc.2025.100964","DOIUrl":"10.1016/j.ajpc.2025.100964","url":null,"abstract":"<div><h3>Background</h3><div>Cardiovascular disease (CVD) is the leading global cause of death, with socio-environmental factors significantly influencing morbidity and mortality. Understanding these factors is essential for improving risk assessments and interventions.</div></div><div><h3>Objective</h3><div>To develop and evaluate the predictive power of a composite socio-environmental (SE) cardiovascular risk score in forecasting major adverse cardiovascular events (MACE) among patients, considering both traditional and novel socio-environmental risk factors.</div></div><div><h3>Methods</h3><div>A Survival Random Forest (RSF) model was used to create a composite socio-environmental (SE) cardiovascular risk score using 22 census-tract level variables from 62,438 patients in the CLARIFY registry undergoing coronary artery calcium (CAC) scoring. A Cox Proportional Hazard (CPH) model was then applied to assess the association between the SE-MACE risk score and MACE in a hold-out test set. SHapley Additive exPlanations (SHAP) values were used to identify variable importance.</div></div><div><h3>Results</h3><div>The study included 62,438 individuals (mean age 59.6 years, 53.2 % female, 87.7 % White). Hypertension (55.4 %), diabetes (15.7 %), and dyslipidemia (72.3 %) were common, with a median CAC score of 168. The RSF model showed a concordance index of 0.58, with significant factors including smoking prevalence, insurance status, and median household income impacting cardiovascular risk. The SE-MACE risk score was robustly associated with MACE (HR, 1.21 [95 % CI, 1.11-1.32]), independent of clinical variables and the CAC score. Kaplan-Meier analysis highlighted clear risk stratification across SE-MACE score quartiles.</div></div><div><h3>Conclusion</h3><div>The SE-MACE risk score effectively incorporates socio-environmental factors into cardiovascular risk assessment, identifying individuals at higher risk for MACE and supporting the need for holistic assessment frameworks. Further validation in diverse settings is recommended to confirm these findings.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"22 ","pages":"Article 100964"},"PeriodicalIF":4.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The health effects of housing instability and its association with congestive heart failure","authors":"Niloufar Novin ,&nbsp;S. Scott Jones ,&nbsp;Elizabeth Cohn ,&nbsp;Nisha Parikh ,&nbsp;David Zhang ,&nbsp;Pey-Jen Yu ,&nbsp;Kristie Coleman ,&nbsp;Luis David Olivera Leon ,&nbsp;Codruta Chiuzan","doi":"10.1016/j.ajpc.2025.100967","DOIUrl":"10.1016/j.ajpc.2025.100967","url":null,"abstract":"<div><div>Housing instability is a critical social determinant of health (SDOH). Prior studies of homelessness and congestive heart failure (CHF) have looked primarily at the association between socioeconomic status and hospitalization. The association between housing instability and the development of CHF has not been fully investigated.</div><div>We examined data from 4,408 participants with annual household income below $50,000 in the All of Us Research Program, a national cohort study enriched for individuals underrepresented in biomedical research. Within the inceptive survey, participants were asked if they were worried or concerned about not having a place to live in the past 6 months. We assessed the association between this self-reported housing concern and CHF occurrence, finding that individuals with low income and housing instability had a 44 % higher risk of diagnosis of CHF than those with stable housing (HR 1.44; 95 %CI 1.03–2.01). The increased risk remained significant after adjusting for cardiovascular risk factors as potential confounders (HR 1.73; 95 %CI 1.19–2.51) such as cholesterol, history of diabetes, and older age categories aged 55–64 years, 65–74 years, 75 years and older.</div><div>Compared with men, women in the study were estimated to be at lower risk of CHF diagnosis (HR 0.52; 95 %CI 0.38–0.70) with 5.3 % of men and 2.9 % of women eventually diagnosed. We found that participants with housing instability had a higher risk of diagnosis of CHF compared to those with stable housing, highlighting the potential health impact of this healthcare disparity. Housing instability disrupts the essentials of effective management of cardiovascular risk factors (diabetes, obesity, hypertension) including consistent management, reliable access to care, and access to basic needs like kitchen and bathroom. This exacerbates their severity and increasing the risk of being diagnosed with CHF.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"22 ","pages":"Article 100967"},"PeriodicalIF":4.3,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143724982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The dose-response relationships between all-cause and cardiovascular mortality and the accrual of various dietary habits","authors":"Ying Li ,&nbsp;Donghui Jin ,&nbsp;Sidong Li ,&nbsp;Hao Wu ,&nbsp;Jiangang Wang ,&nbsp;Pingting Yang ,&nbsp;Xue He ,&nbsp;Lu Yin","doi":"10.1016/j.ajpc.2025.100963","DOIUrl":"10.1016/j.ajpc.2025.100963","url":null,"abstract":"<div><h3>Objective</h3><div>To evaluate the potential dose-response relationships of all-cause and cardiovascular death with the accumulation of various dietary habits.</div></div><div><h3>Setting</h3><div>A prospective cohort study.</div></div><div><h3>Methods</h3><div>Twenty-three dietary habits were assessed through face-to-face interviews with 57,737 participants in health check-up programs from 2015 to 2021. The total score of various dietary habits was calculated as the sum of each dietary habit multiplied by its own full-adjusted coefficient (β) for all-cause mortality in Cox proportional hazard models. Cox proportional hazard models were fitted for the associations of total and cause-specific mortality with the scores of various dietary habits.</div></div><div><h3>Results</h3><div>1,692 deaths occurred after the earliest check-ups in our center, followed up for a median time of 2.14 years (range: 1.01–7.71 years). Total mortality was 11.23/1,000 person-years, and the mean scores of dietary habits were 2.83±2.14. All-cause mortality increased significantly with the cumulative score of dietary habits (the highest quartile vs. lowest quartile: adjusted hazard ratio [AHR], 1.72; 95 % confidence interval [CI], 1.49–1.99; <em>P_linear</em>&lt;0.01). Significance was also found for cardiovascular disease (CVD) mortality (HR, 1.82; 95 % CI, 1.47–2.27; <em>P_linear</em>&lt;0.01), cancer mortality (AHR, 1.59; 95 % CI, 1.23–2.04; <em>P_linear</em>&lt;0.01), and other-cause mortality (AHR, 2.00; 95 % CI, 1.46–2.73; <em>P_linear</em>&lt;0.01). These dose-response trends were more significant in total mortality and CVD mortality among middle-aged adults, and non-obese population.</div></div><div><h3>Conclusions</h3><div>The greater the accumulation of diverse dietary habits, the higher the total mortality, CVD mortality, cancer mortality, and other mortality. This additive effect was particularly pronounced in the risk of death among middle-aged individuals and those with average body statures.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"22 ","pages":"Article 100963"},"PeriodicalIF":4.3,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing Long-term Cardiovascular Risk Stratification: Integrating Biomarkers into the Very High-Risk ASCVD Definition in Asian Patients","authors":"Jiaxi Cheng ,&nbsp;Hao-Yu Wang ,&nbsp;Chenxi Song ,&nbsp;Zheng Qiao ,&nbsp;Xiaohui Bian ,&nbsp;Dong Yin ,&nbsp;Lei Feng ,&nbsp;Chenggang Zhu ,&nbsp;Min Yang ,&nbsp;Guofeng Gao ,&nbsp;Kefei Dou","doi":"10.1016/j.ajpc.2025.100965","DOIUrl":"10.1016/j.ajpc.2025.100965","url":null,"abstract":"<div><h3>Background</h3><div>The 2018 American Heart Association/American College of Cardiology (AHA/ACC) cholesterol guideline defines very high-risk (VHR) atherosclerotic cardiovascular disease (ASCVD) patients to guide intensive lipid-lowering therapy.</div></div><div><h3>Objectives</h3><div>This study sought to evaluate VHR's effectiveness in assessing cardiovascular (CV) risk in an Asian population and examine the predictive value of additional biomarkers for improving risk stratification.</div></div><div><h3>Methods</h3><div>26,752 ASCVD patients were prospectively enrolled at Fuwai Hospital (2017–2018). VHR was defined as multiple major ASCVD events or one major event with multiple high-risk conditions. The primary outcome was a composite of 3-year CV events, including cardiovascular mortality, myocardial infarction, stroke, and coronary revascularization.</div></div><div><h3>Results</h3><div>14,475 (54.1 %) patients were classified as VHR, with higher 3-year event rates than non-VHR (9.6 % vs. 7.3 %). Hemoglobin (Hb), high-sensitivity C-reactive protein (hs-CRP), lipoprotein(a) (Lp(a)), and high-density lipoprotein cholesterol (HDL-C) were significant CV risk influencers in VHR patients (hazard ratios [95 % CI]: 0.93 [0.90–0.96], 1.13 [1.06–1.21], 1.07 [1.04–1.11], 0.73 [0.61–0.89], respectively), but not in non-VHR patients. Within the VHR category, patients with ≥2 abnormal biomarkers (Hb &lt;12 g/dL for men, &lt;11 g/dL for women; hs-CRP &gt;3 mg/L; Lp(a) ≥50 mg/dL; HDL-C &lt; 1 mmol/L) were categorized as Very Very High Risk (VVHR), showing significantly higher event rates than those with fewer abnormal biomarkers (11.7 % vs. 8.9 %, <em>P</em> &lt; 0.001).</div></div><div><h3>Conclusions</h3><div>The VHR definition effectively identifies high-risk Asian patients but can be refined by integrating biomarker-based high-risk conditions. The proposed VVHR category enhances risk stratification, identifying those who may benefit most from intensive lipid-lowering and residual risk management.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"22 ","pages":"Article 100965"},"PeriodicalIF":4.3,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143697068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Sleep disorders as risk factors for calcific aortic stenosis.","authors":"Nadim El Jamal ,&nbsp;Thomas G. Brooks ,&nbsp;Carsten Skarke ,&nbsp;Garret A. FitzGerald","doi":"10.1016/j.ajpc.2025.100958","DOIUrl":"10.1016/j.ajpc.2025.100958","url":null,"abstract":"<div><h3>Background and Aims</h3><div>Circadian disruption and sleep disorders have been shown to increase the risk for many cardiovascular diseases. Their association specifically with valvular heart disease, however, is inconclusive. In this study we test the association between sleep disorders and the future incidence of aortic stenosis using two large electronic health record (EHR) databases datasets (the TriNetX network and the All <em>of</em> Us study). We also explore biochemical data for potential mechanistic insights into that association.</div></div><div><h3>Methods</h3><div>We fitted Cox proportional hazards models to quantify the risk of future incidence of AS in patients with sleep disorders. We also explored clinical laboratory test datasets for biochemical signals that might explain the association, running mediation analyses.</div></div><div><h3>Results</h3><div>In our fully adjusted Cox models, we find that having any sleep disorder increases the risk for the future incidence of AS (HR: 1.15 95 % CI: 1.13–1.18). Changes in lipid profile mediate a proportion of that association.</div></div><div><h3>Conclusion</h3><div>Sleep disorders are associated with an increased risk of AS incidence. That association is independent of classical cardiovascular risk factors even though dyslipidemia plays a large role in mediating this risk.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"22 ","pages":"Article 100958"},"PeriodicalIF":4.3,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combating cardiovascular disease disparities: The potential role of artificial intelligence","authors":"Chisom J. Orakwue ,&nbsp;Farbod Zahedi Tajrishi ,&nbsp;Constance M. Gistand ,&nbsp;Han Feng ,&nbsp;Keith C. Ferdinand","doi":"10.1016/j.ajpc.2025.100954","DOIUrl":"10.1016/j.ajpc.2025.100954","url":null,"abstract":"","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"22 ","pages":"Article 100954"},"PeriodicalIF":4.3,"publicationDate":"2025-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations between potassium, arterial stiffness, and risk of cardiovascular disease in the Jackson Heart Study","authors":"Ranee Chatterjee ,&nbsp;Clemontina A Davenport ,&nbsp;Ervin R. Fox ,&nbsp;Ramachandran S. Vasan ,&nbsp;Gary F Mitchell","doi":"10.1016/j.ajpc.2025.100955","DOIUrl":"10.1016/j.ajpc.2025.100955","url":null,"abstract":"<div><h3>Background</h3><div>Potassium (K) measures are associated with cardiovascular disease (CVD) risk factors, particularly blood pressure (BP). Arterial stiffness is a pre-clinical marker of CVD risk. We sought to study associations of K measures with arterial stiffness and CVD risk in a population at high-risk of CVD.</div></div><div><h3>Methods</h3><div>We studied participants from the Jackson Heart Study (JHS), a longitudinal cohort of adults racially minoritized as Black, who were without CVD at Visit 1 (2000–2004). We compared characteristics between participants with low-normal (lowK) (≤4.0 mmol/L) vs. high-normal (highK) (&gt;4.0 mmol/L) serum K. We used multivariable regression to examine associations of serum and dietary K at Visit 1 with arterial stiffness [brachial artery pulse pressure (PP) and carotid-femoral pulse wave velocity (CFPWV)], measured between 2012 and 2017, incident CVD overall over up to 15 years of follow-up, and individual CVD outcomes.</div></div><div><h3>Results</h3><div>We included 4035 JHS participants in our analyses; mean age was 54 years, 64 % were female. Participants with highK as compared to lowK had lower mean baseline BP and had reduced arterial stiffness. In adjusted models, higher serum K (per standard deviation increase) was associated with lower CFPWV [estimate (95 % CI) -1.66 (-2.88, -0.44)]. There was a significant difference in cumulative incidence of CVD, with the highK group having lower risk (<em>P</em> = 0.047); however, we did not observe statistically significant associations between serum K and any CVD outcomes after multivariable adjustment. We found no significant associations between dietary K and arterial stiffness or incident CVD.</div></div><div><h3>Conclusions</h3><div>In this cohort of Black adults, higher serum K was significantly associated with lower arterial stiffness. Further study is needed to assess the relationship between K's association with arterial stiffness and future CVD risk.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"22 ","pages":"Article 100955"},"PeriodicalIF":4.3,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143628351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generalizability of VICTORION-1 PREVENT enrollment criteria to the United States population","authors":"Rahul Aggarwal ,&nbsp;Deepak L. Bhatt ,&nbsp;Marc P. Bonaca ,&nbsp;Catrin Deck ,&nbsp;Anastasia Lesogor ,&nbsp;Manesh R. Patel ,&nbsp;Erik S.G. Stroes ,&nbsp;Pam R. Taub ,&nbsp;Stephan Windecker","doi":"10.1016/j.ajpc.2025.100957","DOIUrl":"10.1016/j.ajpc.2025.100957","url":null,"abstract":"<div><h3>Background</h3><div>VICTORION-1 PREVENT (V-1P) is an ongoing trial evaluating inclisiran for lipid lowering in patients with high cardiovascular (CV) risk without established atherosclerotic CV disease (ASCVD). This study evaluates the generalizability of V-1P enrollment criteria to the US population and their clinical comorbidity and CV risk factor burden.</div></div><div><h3>Methods</h3><div>Data from National Health and Nutrition Examination Surveys (2015-March 2020) were used to determine nationally representative estimates. Inclusion criteria were low-density lipoprotein cholesterol (LDL-C) of 70–189 mg/dL and a 10-year ASCVD risk of ≥20% or 7.5%-19.9% with two CV risk enhancers. The pooled cohort equations (PCE) was used to stratify ASCVD risk in primary analysis. Estimates of the US population were compared with the V-1P eligible population.</div></div><div><h3>Results</h3><div>The V-1P eligible population included 23,837,940 adults. Compared with US adults ages 40-79 years, V-1P eligible adults had higher mean 10-year ASCVD risk by PCE (21.1% [95% CI: 20.1%-22.2%] vs 10.0% [95% CI: 9.4%-10.6%]). The V-1P eligible population also had higher rates of hypertension (85.4% [95% CI: 81.6%-89.1%] vs 59.4% [95% CI: 56.7%-62.2%], diabetes (35.6% [95% CI: 31.3%-40.0%] vs 18.7% [95% CI: 16.9%- 20.5%]) and metabolic syndrome (81.6% [95% CI: 78.4%-84.7%] vs 51.1% [48.3%- 53.9%]). Adults meeting V-1P eligibility had high levels of LDL-C (117.8 mg/dL [95% CI: 114.3 mg/dL-121.2 mg/dL]) and low statin use (36.7% [95% CI: 31.9%-41.5%]).</div></div><div><h3>Conclusions</h3><div>Many primary prevention patients have high CV risk, significant comorbidity burden, and are eligible for lipid-lowering therapy, yet rates of treatment are low. Public health interventions to improve CV risk factor management are necessary.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"22 ","pages":"Article 100957"},"PeriodicalIF":4.3,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143705110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of long-term insulin variability before the onset of diabetes with cardiovascular outcomes in later life: Findings from the coronary artery risk development in young adults (CARDIA) study","authors":"Kun Zhang ,&nbsp;Chunlan Huang ,&nbsp;Junping Li ,&nbsp;Peibiao Mai ,&nbsp;Shuwan Xu ,&nbsp;Feifei Huang ,&nbsp;Wanbing He ,&nbsp;Huanji Zhang ,&nbsp;Yang Liu ,&nbsp;Weijing Feng","doi":"10.1016/j.ajpc.2025.100952","DOIUrl":"10.1016/j.ajpc.2025.100952","url":null,"abstract":"<div><h3>Background</h3><div>The important effects of variability of some physiological/biological characteristics (such as LDL cholesterol, blood pressure) on cardiovascular outcomes have been elucidated, while the role of insulin variability is undefined.</div></div><div><h3>Objectives</h3><div>To investigate the associations of long-term fasting insulin variability during young adulthood before the onset of diabetes with subsequent cardiovascular outcomes in middle age.</div></div><div><h3>Methods</h3><div>We included 3,983 CARDIA (Coronary Artery Risk Development Study in Young Adults) participants aged 18 to 30 years with at least three fasting insulin measurements. Intra-individual fasting insulin variability was defined by the average real variability (ARV) of insulin and standard deviation (SD) of insulin during 30-year follow-up. The presence and the degree of coronary artery calcification (CAC) were assessed by computed tomography at year 25. Incident cardiovascular disease (CVD) and all-cause mortality were adjudicated.</div></div><div><h3>Results</h3><div>After multivariable adjustment, comparing high versus low tertile of insulin ARV, the hazard of CVD increased by 65 % (HR, 1.65; 95 % CI, 1.13–2.39) and all-cause mortality by 97 % (HR, 1.97; 95 % CI, 1.38–2.82). Higher tertile of insulin ARV was associated with significantly worse degree of CAC (β =0.1; 95 % CI, 0.03–0.18) but not with the presence of CAC (<em>P</em> = 0.197). Similar results were also observed in insulin SD.</div></div><div><h3>Conclusion</h3><div>High long-term insulin variability in young adulthood before the onset of diabetes was associated with an increased risk of CVD and all-cause mortality in later life, independent of average FG, HOMA-IR and other established cardiovascular risk factors. Long-term insulin variability was associated with the degree but not the presence of CAC.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"22 ","pages":"Article 100952"},"PeriodicalIF":4.3,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143631805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editors’ Message – March 2025","authors":"Nathan D. Wong ,&nbsp;Erin D. Michos","doi":"10.1016/j.ajpc.2025.100962","DOIUrl":"10.1016/j.ajpc.2025.100962","url":null,"abstract":"","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"21 ","pages":"Article 100962"},"PeriodicalIF":4.3,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}