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.
Methods
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.
Results
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.
Conclusions
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.
{"title":"Deep learning model for identifying significant tricuspid regurgitation using standard 12-lead electrocardiogram","authors":"Chun-Chin Chang , Ming-Tsung Hsieh , Yin-Hao Lee , Chih-Hsueh Tseng , Wei-Ming Huang , Ruey-Hsing Chou , Chin-Sheng Lin , 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}
Pub Date : 2026-03-01Epub Date: 2025-12-15DOI: 10.1016/j.ijcrp.2025.200564
Pooya Eini , Mohammad Rezayee , Milan Kassulke , Jason Tremblay
Background
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.
Methods
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.
Results
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).
Conclusion
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.
{"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 , Mohammad Rezayee , Milan Kassulke , 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 I<sup>2</sup>, 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 (I<sup>2</sup> = 79.5 %) and specificity (I<sup>2</sup> = 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}
Pub Date : 2026-03-01Epub Date: 2026-01-29DOI: 10.1016/j.ijcrp.2026.200582
Ting Zhao , Suping Lan , Yun Zhang , Yupin Dong , Lunyan Lu , Xu Chen , Song Li , Yuncheng Li , Shen Wang , Yue Wang , Xiaofan Wu , Xinjian Li
{"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 , Suping Lan , Yun Zhang , Yupin Dong , Lunyan Lu , Xu Chen , Song Li , Yuncheng Li , Shen Wang , Yue Wang , Xiaofan Wu , 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}
Pub Date : 2026-03-01Epub Date: 2025-12-11DOI: 10.1016/j.ijcrp.2025.200563
Zhenxing Deng , Bin Cao
{"title":"Comment on “phenotype-specific associations of circulating adipokine levels with carotid atherosclerosis: a systematic review and meta-analysis”","authors":"Zhenxing Deng , 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}
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.
Methods
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.
Results
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 < 0.001) and PCSK9 (272.3 vs. 169.6 ng/mL, p < 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.
Conclusion
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.
脂蛋白(a) [Lp(a)]和PCSK9是新兴的脂质生物标志物,与动脉粥样硬化和残留心血管风险有关,但它们与急性冠状动脉综合征(ACS)中冠状动脉疾病复杂性的关系尚不清楚。本研究评估了首发ACS患者与对照组的血清水平,并探讨了它们与SYNTAX评分定义的冠状动脉严重程度的关系。方法本单中心观察性研究纳入了160例首次出现ACS发作的患者(18-75岁)和40例年龄匹配的健康对照。所有参与者均无降脂治疗和主要合并症。采集空腹血清样本,测量标准血脂、Lp(a)和PCSK9水平。冠状动脉造影后使用SYNTAX评分量化冠状动脉疾病的严重程度。结果ACS队列(平均年龄55.7岁,73.1%为男性)最常表现为STEMI(53.7%)。传统的危险因素包括吸烟/烟草使用(48.8%)、糖尿病(40.0%)和高血压(38.1%)。SYNTAX得分中位数为19.4。与对照组相比,ACS患者的HDL- c显著降低,LDL/HDL和胆固醇/HDL比值显著升高。Lp(a) (38.9 vs. 15.9 mg/dL, p < 0.001)和PCSK9 (272.3 vs. 169.6 ng/mL, p < 0.001)在ACS患者中显著升高。Lp(a)和PCSK9与SYNTAX评分均无相关性。LDL-C与Lp(a)呈正相关(r = 0.163, p = 0.040)。较高的SYNTAX评分与更广泛的多血管疾病相关。结论ACS患者Lp(a)和PCSK9水平明显高于健康对照组,但这些生物标志物不能反映血管造影疾病的复杂性。它们的作用可能更多地在于潜在的心血管风险评估,而不是预测解剖严重程度。
{"title":"A study of extended lipid profile in patients with acute coronary syndrome: Focus on Lipoprotein(a) and PCSK9","authors":"Pradeep Kumar , Sudesh Prajapathi , Abhishek Singh , Akshyaya Pradhan , Ayush Shukla , Monika Bhandari , Akhil Sharma , Pravesh Vishwakarma , Gaurav Chaudhary , Sharad Chandra , Rishi Sethi , Sudhanshu Dwivedi , 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 < 0.001) and PCSK9 (272.3 vs. 169.6 ng/mL, p < 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}
Pub Date : 2026-03-01Epub Date: 2026-01-20DOI: 10.1016/j.ijcrp.2026.200581
Mohamed Fawzi Hemida MD
{"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}
Pub Date : 2026-03-01Epub Date: 2025-12-03DOI: 10.1016/j.ijcrp.2025.200556
Laixi Zhang , Mi Yan , Chunyu Hu, Yuanling Tao, Zhen Cheng, Yalan Zhang, Jiayang Shi, Bing Zou, Li Sun, Zongtao Chen
Background
Cardiometabolic multimorbidity (CMM) is a growing global public health concern, particularly among aging populations. Body Roundness Index (BRI), a novel anthropometric measure reflecting visceral adiposity, may outperform BMI in predicting cardiometabolic risk. This study aimed to investigate the association between longitudinal BRI trajectories and the risk of CMM in a longitudinal cohort.
Methods
8412 participants were ultimately selected from in the China Health and Retirement Longitudinal Study database. BRI measurements were repeatedly obtained from these participants between 2011 and 2016. Group-based trajectory modeling (GBTM) was applied to identify BRI trajectories from 2011 to 2016, with CMM between 2017 and 2020 designated as the primary outcome. We executed a Cox proportional hazards regression model to assess the association between BRI trajectories and the incidence of CMM. In the sensitivity analysis, we stratified cumulative BRI into quartiles to assess whether the association with CMM remained consistent.
Results
Based on the GBTM, participants were categorized into three distinct BRI trajectory groups. These groups, labeled Low-stable, Moderate-stable, and High-stable, comprised 48.23 %, 42.21 %, and 9.56 % of the study population, respectively. Compared to the Low-stable group, Moderate-stable (HR = 1.99, 95 % CI: 1.69–2.35) and High-stable (HR = 2.88, 95 % CI: 2.28–3.63) groups had significantly increased risks of CMM. Subgroup analyses revealed a significant interaction between BMI level and BRI trajectory on CMM outcomes. Sensitivity results supported these findings.
Conclusion
Persistently high BRI trajectories significantly increase CMM risk. BRI is a simple, noninvasive marker with public health utility for early identification and prevention of cardiometabolic diseases, especially in resource-limited settings.
{"title":"Association between body roundness index trajectories and the risk of cardiometabolic multimorbidity in Chinese middle-aged and older adults: Evidence from the China health and retirement longitudinal study","authors":"Laixi Zhang , Mi Yan , Chunyu Hu, Yuanling Tao, Zhen Cheng, Yalan Zhang, Jiayang Shi, Bing Zou, Li Sun, Zongtao Chen","doi":"10.1016/j.ijcrp.2025.200556","DOIUrl":"10.1016/j.ijcrp.2025.200556","url":null,"abstract":"<div><h3>Background</h3><div>Cardiometabolic multimorbidity (CMM) is a growing global public health concern, particularly among aging populations. Body Roundness Index (BRI), a novel anthropometric measure reflecting visceral adiposity, may outperform BMI in predicting cardiometabolic risk. This study aimed to investigate the association between longitudinal BRI trajectories and the risk of CMM in a longitudinal cohort.</div></div><div><h3>Methods</h3><div>8412 participants were ultimately selected from in the China Health and Retirement Longitudinal Study database. BRI measurements were repeatedly obtained from these participants between 2011 and 2016. Group-based trajectory modeling (GBTM) was applied to identify BRI trajectories from 2011 to 2016, with CMM between 2017 and 2020 designated as the primary outcome. We executed a Cox proportional hazards regression model to assess the association between BRI trajectories and the incidence of CMM. In the sensitivity analysis, we stratified cumulative BRI into quartiles to assess whether the association with CMM remained consistent.</div></div><div><h3>Results</h3><div>Based on the GBTM, participants were categorized into three distinct BRI trajectory groups. These groups, labeled Low-stable, Moderate-stable, and High-stable, comprised 48.23 %, 42.21 %, and 9.56 % of the study population, respectively. Compared to the Low-stable group, Moderate-stable (HR = 1.99, 95 % CI: 1.69–2.35) and High-stable (HR = 2.88, 95 % CI: 2.28–3.63) groups had significantly increased risks of CMM. Subgroup analyses revealed a significant interaction between BMI level and BRI trajectory on CMM outcomes. Sensitivity results supported these findings.</div></div><div><h3>Conclusion</h3><div>Persistently high BRI trajectories significantly increase CMM risk. BRI is a simple, noninvasive marker with public health utility for early identification and prevention of cardiometabolic diseases, especially in resource-limited settings.</div></div>","PeriodicalId":29726,"journal":{"name":"International Journal of Cardiology Cardiovascular Risk and Prevention","volume":"28 ","pages":"Article 200556"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683592","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}
Pub Date : 2026-03-01Epub Date: 2026-01-07DOI: 10.1016/j.ijcrp.2026.200574
Ting Zhao , Suping Lan , Yun Zhang , Yupin Dong , Lunyan Lu , Xu Chen , Song Li , Yuncheng Li , Shen Wang , Yue Wang , Xiaofan Wu , Xinjian Li
Objective
This study aims to evaluate the clinical efficacy of extracorporeal cardiac shock wave therapy(CSWT) and enhanced external counterpulsation(EECP),both individually and in combination,in patients with coronary artery disease(CAD),and to explore effective non-invasive treatment strategies.
Methods
A total of 259 patients with CAD admitted between January 2023 and June 2024 were enrolled and randomly assigned to four groups:the Control group(n = 65) received conventional medication only; the EECP group(n = 65) received conventional medication plus EECP treatment(EECP; total duration 36 h); the CSWT group(n = 64) received conventional medication plus CSWT therapy(CSWT; total duration 4.5 h); and the Combination group(EECP + CSWT group,n = 65) received conventional medication combined with both CSWT(4.5 h) and EECP(36 h).Coronary stenosis severity, cardiac function indices, blood biochemistry and other indicators were evaluated at baseline and 12 months after treatment.
Results
Baseline characteristics showed no significant differences among the groups(P > 0.05). After 12 months of treatment, the Gensini score of the EECP + CSWT group decreased by 20 points, which was significantly lower than that of the EECP group (−5 points, P < 0.05), the CSWT group (−15 points, P < 0.05) and the control group (−0.5 points, P < 0.05). Secondly, compared with the control group, the CSWT group, EECP group and EECP + CSWT group showed more significant improvements in cardiac function and blood biochemical parameters (P < 0.05). The EECP + CSWT group exhibited the most pronounced therapeutic efficacy, followed by the EECP group and the CSWT group; all three intervention groups were significantly superior to the Control group (P < 0.05).
Conclusion
Both CSWT and EECP effectively improve the severity of coronary artery disease, cardiac function,and blood biochemical parameters in CAD patients.The combination of these two therapies demonstrates synergistic effects, yielding significantly superior outcomes compared to either monotherapy.
{"title":"Clinical efficacy comparison between extracorporeal shock wave therapy and enhanced external counterpulsation for coronary heart disease","authors":"Ting Zhao , Suping Lan , Yun Zhang , Yupin Dong , Lunyan Lu , Xu Chen , Song Li , Yuncheng Li , Shen Wang , Yue Wang , Xiaofan Wu , Xinjian Li","doi":"10.1016/j.ijcrp.2026.200574","DOIUrl":"10.1016/j.ijcrp.2026.200574","url":null,"abstract":"<div><h3>Objective</h3><div>This study aims to evaluate the clinical efficacy of extracorporeal cardiac shock wave therapy(CSWT) and enhanced external counterpulsation(EECP),both individually and in combination,in patients with coronary artery disease(CAD),and to explore effective non-invasive treatment strategies.</div></div><div><h3>Methods</h3><div>A total of 259 patients with CAD admitted between January 2023 and June 2024 were enrolled and randomly assigned to four groups:the Control group(n = 65) received conventional medication only; the EECP group(n = 65) received conventional medication plus EECP treatment(EECP; total duration 36 h); the CSWT group(n = 64) received conventional medication plus CSWT therapy(CSWT; total duration 4.5 h); and the Combination group(EECP + CSWT group,n = 65) received conventional medication combined with both CSWT(4.5 h) and EECP(36 h).Coronary stenosis severity, cardiac function indices, blood biochemistry and other indicators were evaluated at baseline and 12 months after treatment.</div></div><div><h3>Results</h3><div>Baseline characteristics showed no significant differences among the groups(P > 0.05). After 12 months of treatment, the Gensini score of the EECP + CSWT group decreased by 20 points, which was significantly lower than that of the EECP group (−5 points, P < 0.05), the CSWT group (−15 points, P < 0.05) and the control group (−0.5 points, P < 0.05). Secondly, compared with the control group, the CSWT group, EECP group and EECP + CSWT group showed more significant improvements in cardiac function and blood biochemical parameters (P < 0.05). The EECP + CSWT group exhibited the most pronounced therapeutic efficacy, followed by the EECP group and the CSWT group; all three intervention groups were significantly superior to the Control group (P < 0.05).</div></div><div><h3>Conclusion</h3><div>Both CSWT and EECP effectively improve the severity of coronary artery disease, cardiac function,and blood biochemical parameters in CAD patients.The combination of these two therapies demonstrates synergistic effects, yielding significantly superior outcomes compared to either monotherapy.</div></div>","PeriodicalId":29726,"journal":{"name":"International Journal of Cardiology Cardiovascular Risk and Prevention","volume":"28 ","pages":"Article 200574"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976978","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}
Pub Date : 2026-03-01Epub Date: 2026-01-08DOI: 10.1016/j.ijcrp.2026.200578
Bin Cao , Bingning Ma
{"title":"Comments on: “Association between body roundness index trajectories and the risk of cardiometabolic multimorbidity in Chinese middle-aged and older adults: Evidence from the China health and retirement longitudinal study”","authors":"Bin Cao , Bingning Ma","doi":"10.1016/j.ijcrp.2026.200578","DOIUrl":"10.1016/j.ijcrp.2026.200578","url":null,"abstract":"","PeriodicalId":29726,"journal":{"name":"International Journal of Cardiology Cardiovascular Risk and Prevention","volume":"28 ","pages":"Article 200578"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146022628","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}
Pub Date : 2026-03-01Epub Date: 2025-12-04DOI: 10.1016/j.ijcrp.2025.200549
Alberico L. Catapano , Aldo Pietro Maggioni , Francesco Rossi , Eleonora Consolo , Lucia Notarianni , Giancarlo Agnelli , the OMERO study group
Background
The OMERO study (Observational Multicenter study on Effectiveness and tolerability of aliROcumab in real-world) aimed to evaluate the long-term effectiveness, safety and adherence of alirocumab in a cohort of Italian patients with elevated cholesterol at high- or very-high cardiovascular risk.
Methods
Italian patients with elevated cholesterol received alirocumab for at least six months before the inclusion visit and were monitored for up to five years. The achievement of the recommended LDL-Cholesterol (LDL-C) goal (70 mg/dL in high-risk patients; 100 mg/dL in very-high-risk patients) after one year, regardless of modifications of concurrent lipid-lowering therapy or treatment adherence, was the primary endpoint of the study. The evaluation of the lipid profile, the concomitant use of lipid-lowering therapies, the treatment adherence and the occurrence of adverse events were also investigated.
Results
517 (68.6 %) of the 754 FAS patients met the primary endpoint 12 months after beginning their treatment with alirocumab. Median (mean ± SD) LDL-C reductions at the final visit (median or mean follow-up period) were −60.7 % (−57.4 % ± 19.3 %) compared to baseline. The primary endpoint was achieved by 341(70.7%) of the 482 patients with an LDL-C measurement 3 years after initiating alirocumab. Adherence to the alirocumab regimen was approximately 100 % during the observation period. Eighteen (2.3 %) of the 797 patients included in the safety population experienced at least one adverse drug reaction.
Conclusion
The effectiveness of alirocumab in reducing LDL-C and its favorable safety and tolerability profile have been consistently confirmed in a real-world setting among Italian patients treated for up to 3 years.
{"title":"Observational, Multicenter study on long-term Effectiveness and tolerability of aliROcumab (OMERO): an Italian real-life experience","authors":"Alberico L. Catapano , Aldo Pietro Maggioni , Francesco Rossi , Eleonora Consolo , Lucia Notarianni , Giancarlo Agnelli , the OMERO study group","doi":"10.1016/j.ijcrp.2025.200549","DOIUrl":"10.1016/j.ijcrp.2025.200549","url":null,"abstract":"<div><h3>Background</h3><div>The OMERO study (Observational Multicenter study on Effectiveness and tolerability of aliROcumab in real-world) aimed to evaluate the long-term effectiveness, safety and adherence of alirocumab in a cohort of Italian patients with elevated cholesterol at high- or very-high cardiovascular risk.</div></div><div><h3>Methods</h3><div>Italian patients with elevated cholesterol received alirocumab for at least six months before the inclusion visit and were monitored for up to five years. The achievement of the recommended LDL-Cholesterol (LDL-C) goal (70 mg/dL in high-risk patients; 100 mg/dL in very-high-risk patients) after one year, regardless of modifications of concurrent lipid-lowering therapy or treatment adherence, was the primary endpoint of the study. The evaluation of the lipid profile, the concomitant use of lipid-lowering therapies, the treatment adherence and the occurrence of adverse events were also investigated.</div></div><div><h3>Results</h3><div>517 (68.6 %) of the 754 FAS patients met the primary endpoint 12 months after beginning their treatment with alirocumab. Median (mean ± SD) LDL-C reductions at the final visit (median or mean follow-up period) were −60.7 % (−57.4 % ± 19.3 %) compared to baseline. The primary endpoint was achieved by 341(70.7%) of the 482 patients with an LDL-C measurement 3 years after initiating alirocumab. Adherence to the alirocumab regimen was approximately 100 % during the observation period. Eighteen (2.3 %) of the 797 patients included in the safety population experienced at least one adverse drug reaction.</div></div><div><h3>Conclusion</h3><div>The effectiveness of alirocumab in reducing LDL-C and its favorable safety and tolerability profile have been consistently confirmed in a real-world setting among Italian patients treated for up to 3 years.</div></div>","PeriodicalId":29726,"journal":{"name":"International Journal of Cardiology Cardiovascular Risk and Prevention","volume":"28 ","pages":"Article 200549"},"PeriodicalIF":2.1,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145791198","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}