International Journal of Cardiology Cardiovascular Risk and Prevention最新文献

{"title":"Relationship between nutrition status and muscle mass and its impact on 1-year mortality in patients with aortic stenosis undergoing transcatheter aortic valve implantation","authors":"Hiroyo Miyata ,&nbsp;Koichiro Matsumura ,&nbsp;Kazue Hamamura ,&nbsp;Masakazu Yasuda ,&nbsp;Shohei Hakozaki ,&nbsp;Kyohei Onishi ,&nbsp;Eijiro Yagi ,&nbsp;Kosuke Fujita ,&nbsp;Katsumi Kajihara ,&nbsp;Teruyoshi Amagai ,&nbsp;Masafumi Ueno ,&nbsp;Gaku Nakazawa","doi":"10.1016/j.ijcrp.2026.200573","DOIUrl":"10.1016/j.ijcrp.2026.200573","url":null,"abstract":"<div><h3>Background</h3><div>We aimed to evaluate whether dual assessment of nutritional status and muscle mass could enhance the prediction of 1-year mortality in patients undergoing transcatheter aortic valve implantation (TAVI).</div></div><div><h3>Methods</h3><div>This retrospective study included 312 consecutive patients who underwent TAVI for aortic stenosis. Nutritional status was determined by calculating the geriatric nutritional risk index (GNRI), with a cutoff of 98. Muscle mass was calculated from the psoas muscle volume index (PMVI). Patients were stratified into three groups based on GNRI and PMVI: Low, middle, and high groups (GNRI: &lt; 98, &lt; 98, and &gt; 98; and below, or below, and above the sex-specific median PMVI, respectively). The primary endpoint was all-cause mortality within 1-year.</div></div><div><h3>Results</h3><div>After exclusion, 259 patients were included in the analysis, and 22 died within 1-year. Kaplan-Meier survival curves showed a significant difference in all-cause mortality within 1-year among the three groups. Multivariate analysis of the Cox proportional hazards model for factors related to all-cause mortality within 1-year showed no significant association in the middle group when the high group was used as a reference, and the low group was independently associated.</div></div><div><h3>Conclusion</h3><div>The combined assessment of nutritional status and muscle mass improves the identification of high-risk patients undergoing transcatheter aortic valve implantation and enhances the prognostic accuracy beyond individual markers. This approach may aid in refining the risk stratification and tailoring the perioperative management of patients undergoing TAVI.</div></div>","PeriodicalId":29726,"journal":{"name":"International Journal of Cardiology Cardiovascular Risk and Prevention","volume":"28 ","pages":"Article 200573"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976980","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":"Housing distance, salt intake and cardiovascular risk in rural Aceh Tamiang: Insights utilizing the WHO 10-year non-laboratory assessment","authors":"Nadya Keumala Fitri ,&nbsp;Bahagia Willibrordus Maria Nainggolan ,&nbsp;Yusrina Br Saragih ,&nbsp;Dina Keumala Sari","doi":"10.1016/j.ijcrp.2025.200560","DOIUrl":"10.1016/j.ijcrp.2025.200560","url":null,"abstract":"<div><h3>Background</h3><div>Assessing cardiovascular disease (CVD) risk is a major challenge in rural areas due to limited access and resources. Addressing this issue is crucial for developing effective public health interventions.</div></div><div><h3>Methods</h3><div>This cross-sectional study utilized the World Health Organization (WHO) 10-year cardiovascular risk assessment charts. Variables included housing distance to the nearest community health center (CHC), salt consumption, and physical activity. Data were analyzed using logistic regression.</div></div><div><h3>Findings</h3><div>Among 1000 participants, 24.6 % were classified as high-risk. Significant predictors included salt consumption (odds ratio [OR] = 3.87, 95 % CI: 2.46–6.06) and distance to the CHC (OR = 2.2, 95 % CI: 1.44–3.35). The predicted probability of high CVD risk is related to with both housing distance (Estimate = 0.098, SE = 0.018, z = 5.45, p &lt; 0.001) and salt consumption (Estimate = 1.524, SE = 0.158, z = 9.63, p &lt; 0.001).</div></div><div><h3>Conclusion</h3><div>This study highlights the significance of modifiable factors, specifically higher salt consumption and greater distance to a CHC, on CVD risk in a rural Indonesian population.</div></div>","PeriodicalId":29726,"journal":{"name":"International Journal of Cardiology Cardiovascular Risk and Prevention","volume":"28 ","pages":"Article 200560"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022709","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":"Global burden of non-rheumatic calcific aortic valve disease in adults aged 60 years and older, with projections to 2041: insights from the Global Burden of Disease Study 2021","authors":"Jie Tan ,&nbsp;Xiaoqing Fu ,&nbsp;Xiaoqi Li ,&nbsp;Xiaorui Zhao ,&nbsp;Wenqi Huang ,&nbsp;Jing Huang ,&nbsp;Li Xu","doi":"10.1016/j.ijcrp.2025.200565","DOIUrl":"10.1016/j.ijcrp.2025.200565","url":null,"abstract":"<div><h3>Background</h3><div>This study aimed to explore the most recent trends in NRCAVD burden among adults aged 60 years and older and to further predict trends up to 2041.</div></div><div><h3>Methods</h3><div>We estimated the age-standardized incidence (ASIR), prevalence (ASPR), disability-adjusted life years (DALYs) (ASDALYsR) and death rates (ASDR) of NRCAVD in adults aged ≥60 years from 1990 to 2021 using data from the 2021 Global Burden of Disease Study. Temporal trends were quantified using average annual percent change and projections to 2041 were made using the Nordpred model.</div></div><div><h3>Results</h3><div>Globally, in 2021, NRCAVD affected 11.78 million older adults (ASPR: 1122.7/100,000), with 0.84 million new cases (ASIR: 77.3/100,000), resulting in 132,764 deaths (ASDR: 13.7/100,000) and an ASDALYsR of 182 per 100,000. From 1990 to 2021, global ASIR and ASPR increased significantly (22.1 % and 24.8 %, respectively), while ASDALYsR and ASDR declined. High-income regions exhibited the greatest disease burden, notably High-income North America and Western Europe. Marked sex-based differences existed, with males showing higher burden compared to females. Projections indicate that by 2041, the absolute number of cases will rise by 72.1 %.</div></div><div><h3>Conclusions</h3><div>The global burden of NRCAVD in older adults is substantial and varies by age, gender, socio-demographic index, and region. Despite declining age-standardized rates, the absolute burden of NRCAVD will increase, highlighting the need for early screening and improved treatment access.</div></div>","PeriodicalId":29726,"journal":{"name":"International Journal of Cardiology Cardiovascular Risk and Prevention","volume":"28 ","pages":"Article 200565"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925909","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":"Prognostic value of the left atrioventricular coupling index for adverse cardiac outcomes in hypertrophic cardiomyopathy","authors":"Sittinop Titichoatrattana ,&nbsp;Ing-orn Arunakul ,&nbsp;Paisit Kosum ,&nbsp;Aree Maitaothong ,&nbsp;Em-on Puripun ,&nbsp;Monravee Tumkosit ,&nbsp;Yongkasem Vorasettakarnkij ,&nbsp;Pairoj Chattranukulchai ,&nbsp;Nonthikorn Theerasuwipakorn","doi":"10.1016/j.ijcrp.2025.200566","DOIUrl":"10.1016/j.ijcrp.2025.200566","url":null,"abstract":"<div><h3>Background</h3><div>Hypertrophic cardiomyopathy (HCM) involves left atrial remodeling linked to adverse outcomes such as death, heart failure, and atrial fibrillation (AF). The left atrioventricular coupling index (LACI) reflects atrial–ventricular interaction, but its prognostic role in HCM is unclear. The objective of this study is to evaluate the prognostic value of cardiac magnetic resonance imaging (CMR)-derived LACI and identify optimal cut-offs for predicting adverse outcomes in HCM.</div></div><div><h3>Methods</h3><div>This retrospective cohort study included HCM patients who underwent CMR with at least 1 year of follow-up. LACI was calculated as the ratio of left atrial to left ventricular end-diastolic volume. Associations between LACI and outcomes were analyzed using Cox regression. The primary outcome was a composite endpoint of all-cause death and hospitalization for heart failure (HHF). Secondary outcomes included all-cause death, HHF, and new-onset AF. Receiver operating characteristic (ROC) analysis determined optimal LACI cut-offs.</div></div><div><h3>Results</h3><div>Among 183 patients (median age 61 years; 59 % male) followed for 4.2 years, 53 (29 %) reached the primary endpoint. Elevated LACI independently predicted the primary composite endpoint (≥0.41: aHR 2.24, 95 %CI: 1.19, 4.24, p = 0.013), HHF (≥0.44: aHR 4.54, 95 %CI: 1.69, 12.19, p = 0.003), and new-onset AF (≥0.44: aHR 3.06, 95 %CI: 1.26, 7.43, p = 0.003) but not all-cause death.</div></div><div><h3>Conclusion</h3><div>CMR-derived LACI independently predicted adverse outcomes in HCM, offering a reproducible marker for improved risk stratification.</div></div>","PeriodicalId":29726,"journal":{"name":"International Journal of Cardiology Cardiovascular Risk and Prevention","volume":"28 ","pages":"Article 200566"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925910","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":"Deep learning model for identifying significant tricuspid regurgitation using standard 12-lead electrocardiogram","authors":"Chun-Chin Chang ,&nbsp;Ming-Tsung Hsieh ,&nbsp;Yin-Hao Lee ,&nbsp;Chih-Hsueh Tseng ,&nbsp;Wei-Ming Huang ,&nbsp;Ruey-Hsing Chou ,&nbsp;Chin-Sheng Lin ,&nbsp;Po-Hsun Huang","doi":"10.1016/j.ijcrp.2025.200557","DOIUrl":"10.1016/j.ijcrp.2025.200557","url":null,"abstract":"<div><h3>Introduction</h3><div>Transthoracic echocardiography (TTE) is the current standard for detecting tricuspid regurgitation (TR); however, it incurs additional costs and is dependent on the operator's skill. In contrast, the 12-lead electrocardiogram (ECG) is widely available during initial evaluations. This study aimed to develop deep learning (DL) models using 12-lead ECG signals and clinical features to detect significant TR.</div></div><div><h3>Methods</h3><div>Between 2017 and 2019, a total of 5432 patients who underwent both 12-lead ECG and TTE were eligible for this study. Significant TR was identified in 570 of these patients. The DL model architecture was based on a combination of one-dimensional convolutional neural network, efficient channel attention block, and Multihead Attention modules. The model was trained on data from 3910 patients, tested on 435 patients, and validated using both internal and external cohorts.</div></div><div><h3>Results</h3><div>The diagnostic performance of the DL model using ECG signals, age, and sex to predict significant TR was as follows: an accuracy of 0.762, sensitivity of 0.809, specificity of 0.756, and an area under the curve (AUC) of 0.857. After incorporating additional factors such as RR interval, QRS duration, corrected QT interval, atrial fibrillation, and hypertension into the DL model, the diagnostic performance remained substantial, with an accuracy of 0.762, sensitivity of 0.836, specificity of 0.752, and an AUC of 0.866. External validation of the DL model showed satisfactory results.</div></div><div><h3>Conclusions</h3><div>Implementing the DL model for ECG interpretation could facilitate the diagnosis of significant TR. However, the clinical utility of this DL model requires further validation and exploration.</div></div>","PeriodicalId":29726,"journal":{"name":"International Journal of Cardiology Cardiovascular Risk and Prevention","volume":"28 ","pages":"Article 200557"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145658774","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":"Efficacy and comparative performance of machine learning models for stroke risk prediction in hypertensive patients: A systematic review and meta-analysis","authors":"Pooya Eini ,&nbsp;Mohammad Rezayee ,&nbsp;Milan Kassulke ,&nbsp;Jason Tremblay","doi":"10.1016/j.ijcrp.2025.200564","DOIUrl":"10.1016/j.ijcrp.2025.200564","url":null,"abstract":"<div><h3>Background</h3><div>Stroke poses a significant health burden among hypertensive patients, where traditional risk models often lack precision. Machine learning (ML) has shown promise in enhancing prediction accuracy by integrating diverse data sources.</div></div><div><h3>Methods</h3><div>Following PRISMA guidelines, we searched 5 databases from inception to September 2025. Eligible studies reported the performance of ML models in hypertensive cohorts. Data were pooled using random-effects models, with heterogeneity assessed via I², subgroup analyses, meta-regression, and leave-one-out sensitivity. The risk of bias was evaluated using PROBAST + AI, and the evidence quality was assessed using the GRADE approach.</div></div><div><h3>Results</h3><div>Ten studies (n = 13,299 stroke cases) were included. Pooled sensitivity was 0.88 (95 % CI: 0.80–0.93), specificity 0.88 (95 % CI: 0.77–0.94), positive likelihood ratio 7.1 (95 % CI: 3.4–15.1), negative likelihood ratio 0.14 (95 % CI: 0.08–0.26), and AUC-ROC 0.94 (95 % CI: 0.91–0.96), indicating good discriminative ability. Heterogeneity was high for both sensitivity (I² = 79.5 %) and specificity (I² = 76.8 %), potentially due to variations in study design and populations. Subgroup analyses showed consistent performance in Chinese studies (sensitivity 0.85, specificity 0.84) and those using multimodal features (sensitivity 0.84, specificity 0.83), with higher sensitivity for ischemic/hemorrhagic-specific models (0.90). Meta-regression explained 73.9 % of variance and No publication bias was detected (Deeks' p = 0.654).</div></div><div><h3>Conclusion</h3><div>ML models demonstrate good performance for stroke prediction in hypertensive patients. However, heterogeneity underscores the need for standardized approaches. This evidence, rated moderate by GRADE, supports ML integration in clinical practice for improved prevention.</div></div>","PeriodicalId":29726,"journal":{"name":"International Journal of Cardiology Cardiovascular Risk and Prevention","volume":"28 ","pages":"Article 200564"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925353","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":"Corrigendum to ‘Clinical efficacy comparison between extracorporeal shock wave therapy and enhanced external counterpulsation for coronary heart disease’ [Int. J. Cardio. Cardiovas. Risk Prev. 28 (2026) 200574]","authors":"Ting Zhao ,&nbsp;Suping Lan ,&nbsp;Yun Zhang ,&nbsp;Yupin Dong ,&nbsp;Lunyan Lu ,&nbsp;Xu Chen ,&nbsp;Song Li ,&nbsp;Yuncheng Li ,&nbsp;Shen Wang ,&nbsp;Yue Wang ,&nbsp;Xiaofan Wu ,&nbsp;Xinjian Li","doi":"10.1016/j.ijcrp.2026.200582","DOIUrl":"10.1016/j.ijcrp.2026.200582","url":null,"abstract":"","PeriodicalId":29726,"journal":{"name":"International Journal of Cardiology Cardiovascular Risk and Prevention","volume":"28 ","pages":"Article 200582"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147365706","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":"Comment on “phenotype-specific associations of circulating adipokine levels with carotid atherosclerosis: a systematic review and meta-analysis”","authors":"Zhenxing Deng ,&nbsp;Bin Cao","doi":"10.1016/j.ijcrp.2025.200563","DOIUrl":"10.1016/j.ijcrp.2025.200563","url":null,"abstract":"","PeriodicalId":29726,"journal":{"name":"International Journal of Cardiology Cardiovascular Risk and Prevention","volume":"28 ","pages":"Article 200563"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791199","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":"A study of extended lipid profile in patients with acute coronary syndrome: Focus on Lipoprotein(a) and PCSK9","authors":"Pradeep Kumar ,&nbsp;Sudesh Prajapathi ,&nbsp;Abhishek Singh ,&nbsp;Akshyaya Pradhan ,&nbsp;Ayush Shukla ,&nbsp;Monika Bhandari ,&nbsp;Akhil Sharma ,&nbsp;Pravesh Vishwakarma ,&nbsp;Gaurav Chaudhary ,&nbsp;Sharad Chandra ,&nbsp;Rishi Sethi ,&nbsp;Sudhanshu Dwivedi ,&nbsp;Raman Puri","doi":"10.1016/j.ijcrp.2025.200558","DOIUrl":"10.1016/j.ijcrp.2025.200558","url":null,"abstract":"<div><h3>Background</h3><div>Lipoprotein(a) [Lp(a)] and PCSK9 are emerging lipid biomarkers implicated in atherogenesis and residual cardiovascular risk, but their relationship with coronary disease complexity in acute coronary syndrome (ACS) is unclear. This study evaluates their serum levels in first-episode ACS patients versus controls and explores their relationship with SYNTAX score–defined coronary severity.</div></div><div><h3>Methods</h3><div>This single-centre observational study enrolled 160 patients presenting with their first episode of ACS (aged 18–75) and 40 age-matched healthy controls. All participants were free from lipid-lowering therapy and major comorbidities. Fasting serum samples were collected to measure the standard lipid profile, Lp(a), and PCSK9 levels. The severity of coronary artery disease was quantified using the SYNTAX score after coronary angiography.</div></div><div><h3>Results</h3><div>The ACS cohort (mean age 55.7 years; 73.1 % male) most frequently presented with STEMI (53.7 %). Traditional risk factors included smoking/tobacco use (48.8 %), diabetes (40.0 %), and hypertension (38.1 %). Median SYNTAX score was 19.4. Compared with controls, ACS patients had significantly lower HDL-C and higher LDL/HDL and cholesterol/HDL ratios. Lp(a) (38.9 vs. 15.9 mg/dL, p &lt; 0.001) and PCSK9 (272.3 vs. 169.6 ng/mL, p &lt; 0.001) were markedly elevated in ACS patients. Neither Lp(a) nor PCSK9 correlated with SYNTAX score. LDL-C showed a modest positive correlation with Lp(a) (r = 0.163, p = 0.040). Higher SYNTAX scores were associated with more extensive multivessel disease.</div></div><div><h3>Conclusion</h3><div>Patients with ACS exhibited significantly higher Lp(a) and PCSK9 levels compared with healthy controls, but these biomarkers did not reflect angiographic disease complexity. Their role may lie more in underlying cardiovascular risk assessment than in predicting anatomical severity.</div></div>","PeriodicalId":29726,"journal":{"name":"International Journal of Cardiology Cardiovascular Risk and Prevention","volume":"28 ","pages":"Article 200558"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145738398","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":"Letter to the Editor: Trends in coronary artery disease mortality among hyperlipidemic patients: Geographic, gender, and racial insights from CDC WONDER data (1999–2020)","authors":"Mohamed Fawzi Hemida MD","doi":"10.1016/j.ijcrp.2026.200581","DOIUrl":"10.1016/j.ijcrp.2026.200581","url":null,"abstract":"","PeriodicalId":29726,"journal":{"name":"International Journal of Cardiology Cardiovascular Risk and Prevention","volume":"28 ","pages":"Article 200581"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022629","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}