JACC. AsiaPub Date : 2025-07-01DOI: 10.1016/j.jacasi.2025.03.015
Guanhua Dou MMS , Jia Zhou MD , Ziqiang Guo MBBS , Dongkai Shan MD , Xi Wang MD , Tao Li MD , Xinghua Zhang MD , Lei Xu MD , Mei Zhang MD , Xudong Lv MD , Junjie Yang MD , Yundai Chen MD, PhD
{"title":"Developing an ML-Based Pretest Probability Model of Obstructive CAD in Patients With Stable Chest Pain","authors":"Guanhua Dou MMS , Jia Zhou MD , Ziqiang Guo MBBS , Dongkai Shan MD , Xi Wang MD , Tao Li MD , Xinghua Zhang MD , Lei Xu MD , Mei Zhang MD , Xudong Lv MD , Junjie Yang MD , Yundai Chen MD, PhD","doi":"10.1016/j.jacasi.2025.03.015","DOIUrl":"10.1016/j.jacasi.2025.03.015","url":null,"abstract":"<div><h3>Background</h3><div>Updated pretest probability models (ESC2019, the PTP model supported by the European Society of Cardiology after a pooled analysis; and RF-CL, the risk factor-weighted model) are recommended for initial evaluation of patients with stable chest pain before coronary computed tomography angiography to reduce unnecessary examination by recent guidelines. However, the reliability of those pretest probability models has not been fully investigated, especially in Chinese population.</div></div><div><h3>Objectives</h3><div>This study aims to build a machine learning-based pretest probability model in patients with stable chest pain and compare it with ESC2019 and RF-CL model in a Chinese population.</div></div><div><h3>Methods</h3><div>This is an analysis of the Chinese registry in China, with a large scale, foresight, and a multicenter cohort. Obstructive coronary artery disease refers to at least 1 lesion ≥70% diameter stenosis in main branches or ≥50% left main stenosis by coronary computed tomography angiography. A pretest probability model, the C-STRAT (Chinese Registry in Early Detection and Risk Stratification of Coronary Plaques) score, was conducted by an ensemble machine learning algorithm in training data set and compared with other pretest probability models.</div></div><div><h3>Results</h3><div>In the testing data set, the C-STRAT score gave the best performance in discrimination evaluation (AUC: 0.769; 95% CI: 0.753-0.784). It also performed well in calibration evaluation. The integrated discrimination improvement and net reclassification improvement of the C-STRAT score were positive compared with other pretest probability models.</div></div><div><h3>Conclusions</h3><div>A high-performance pretest probability model derived from machine learning algorithm was developed based on a multicenter Chinese population and expected to facilitate the decision making for downstream tests. (Chinese Database of National Coronary Plaques Registry; <span><span>ChiCTR1800015864</span><svg><path></path></svg></span>)</div></div>","PeriodicalId":73529,"journal":{"name":"JACC. Asia","volume":"5 7","pages":"Pages 865-880"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144268042","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}
JACC. AsiaPub Date : 2025-07-01DOI: 10.1016/j.jacasi.2025.03.009
Jiwen Zhong MM , Rui Tang MD , Liuxin Li MM , Wei Zheng MM , Shuohua Chen MM , Jun Feng , Jingli Qu MD , Xi Wang MD , Yu Yin MM , Yu Yuan MD, PhD , Shouling Wu MD, PhD
{"title":"Association Between Modifiable Lifestyle Factors and Incident Cardiac Conduction Disease","authors":"Jiwen Zhong MM , Rui Tang MD , Liuxin Li MM , Wei Zheng MM , Shuohua Chen MM , Jun Feng , Jingli Qu MD , Xi Wang MD , Yu Yin MM , Yu Yuan MD, PhD , Shouling Wu MD, PhD","doi":"10.1016/j.jacasi.2025.03.009","DOIUrl":"10.1016/j.jacasi.2025.03.009","url":null,"abstract":"<div><h3>Background</h3><div>The associations between modifiable lifestyles and cardiac conduction disease (CCD) are poorly studied.</div></div><div><h3>Objectives</h3><div>This study aimed to prospectively assess the association between modifiable lifestyle factors and incident CCD.</div></div><div><h3>Methods</h3><div>A total of 89,377 participants (aged 18-90 years) free of CCD at baseline were enrolled in the Kailuan cohort. Lifestyle factors, including smoking, alcohol consumption, physical activity, sedentary behavior, and nighttime sleep duration, were collected to test the relations of both baseline and long-term lifestyle factors with incident CCD.</div></div><div><h3>Results</h3><div>During 1,226,634.1 person-years of follow-up (median: 14.1 years; Q1-Q3: 13.8-14.2 years), 3,723 CCD cases (3.04 per 1,000 person-years; 95% CI: 2.94-3.13 person-years) were identified. Compared with the participants who had healthy lifestyles at baseline, the adjusted HRs for participants who consumed alcohol ≥5 drinks per day, had sedentary behavior ≥4 hours per day, and had night sleep <em>≥</em>9 hours per day were 1.16 (95% CI: 1.04-1.32), 1.12 (95% CI: 1.03-1.22), and 1.32 (95% CI: 1.02-1.68), respectively. Furthermore, compared with the participants adhered to long-term healthy lifestyles, the adjusted HRs for participants who chronically consumed alcohol ≥5 drinks per day, had sedentary behavior ≥4 hours per day, and had night sleep ≥9 hours per day were 2.16 (95% CI: 1.68-2.79), 1.77 (95% CI: 1.50-2.09), and 1.67 (95% CI: 1.25-2.24), respectively.</div></div><div><h3>Conclusions</h3><div>The study revealed excessive alcohol consumption, high sedentary behavior, and longer sleep duration were associated with higher risks of CCD in adults. The findings supported the beneficial impact of a low-risk lifestyle on the primary prevention of CCD.</div></div>","PeriodicalId":73529,"journal":{"name":"JACC. Asia","volume":"5 7","pages":"Pages 927-939"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144112586","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}
JACC. AsiaPub Date : 2025-07-01DOI: 10.1016/j.jacasi.2025.04.004
Lifan Yang MD , Zilong Weng MB , Shasha Chen MD , Yuan Zhang MD , Daxin Zhou MD , Wenzhi Pan MD , Junbo Ge MD
{"title":"Noncoronary Sinus Pivot Implantation for Transcatheter Aortic Valve Replacement With Self-Expanding Valve for Aortic Regurgitation","authors":"Lifan Yang MD , Zilong Weng MB , Shasha Chen MD , Yuan Zhang MD , Daxin Zhou MD , Wenzhi Pan MD , Junbo Ge MD","doi":"10.1016/j.jacasi.2025.04.004","DOIUrl":"10.1016/j.jacasi.2025.04.004","url":null,"abstract":"<div><h3>Background</h3><div>Our initial study suggested that patients undergoing transcatheter aortic valve replacement (TAVR) with a self-expanding valve for pure native aortic regurgitation (PNAR) had a lower rate of major adverse cardiac events (MACE) when the noncoronary sinus pivot implantation (NCPI) was achieved.</div></div><div><h3>Objectives</h3><div>This study enrolled patients with PNAR who underwent TAVR with self-expanding valves between January 2019 and April 2024, compared the NCPI strategy with the conventional approach, and analyzed factors associated with successful NCPI.</div></div><div><h3>Methods</h3><div>We divided 87 patients into an early (conventional) group of patients treated before February 2023 and a late (NCPI strategy) group of patients treated after February 2023. Then the patients were also categorized by successful NCPI and non-NCPI group.</div></div><div><h3>Results</h3><div>The late group had significantly higher device success rates than the early group (92.9% vs 73.3%; <em>P =</em> 0.016) and lower rates of MACE (19.5% vs 51.1%; <em>P =</em> 0.002) and valve-in-valve implantation (4.8% vs 24.4%; <em>P =</em> 0.01). Importantly, NCPI was achieved in 90.5% of patients in the late group compared with only 17.8% in the early group (<em>P <</em> 0.001). The NCPI group had a higher device success rate (93.5% vs 70.7%; <em>P =</em> 0.005) and lower MACE rate (17.4%vs 56.1%; <em>P</em> < 0.001) than the non-NCPI group. NCPI (OR: 6.71; <em>P =</em> 0.032) and aortic angulation (OR: 1.07; <em>P =</em> 0.035) were independent predictors of device success.</div></div><div><h3>Conclusions</h3><div>NCPI strategy could be a general method used in TAVR with a self-expanding valve for patients with PNAR, which had a higher device success rate and lower rate of complications than the conventional method.</div></div>","PeriodicalId":73529,"journal":{"name":"JACC. Asia","volume":"5 7","pages":"Pages 884-894"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144327984","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}
JACC. AsiaPub Date : 2025-07-01DOI: 10.1016/j.jacasi.2025.05.011
Shengxian Tu PhD, Miao Chu PhD
{"title":"The Long March to Identify Patients With Coronary Artery Disease by Pretest Probability Model","authors":"Shengxian Tu PhD, Miao Chu PhD","doi":"10.1016/j.jacasi.2025.05.011","DOIUrl":"10.1016/j.jacasi.2025.05.011","url":null,"abstract":"","PeriodicalId":73529,"journal":{"name":"JACC. Asia","volume":"5 7","pages":"Pages 881-883"},"PeriodicalIF":0.0,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144524199","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":"Associations Between Body Roundness Index and Cardiovascular Outcomes: A China Kadoorie Biobank Prospective Cohort Study.","authors":"Chaoyue Zhao, Xushen Yang, Shiyu Zhu, Yufeng Wu, Gaoyu Yu, Hui Ni, Yini Shen, Meixiang Xiang, Yao Xie","doi":"10.1016/j.jacasi.2025.05.014","DOIUrl":"https://doi.org/10.1016/j.jacasi.2025.05.014","url":null,"abstract":"<p><strong>Background: </strong>Obesity traditionally scaled by body mass index, and visceral fat are independent risk factors for cardiovascular diseases (CVDs). Assessing obesity's impact on CVDs based solely on height or weight can be inaccurate. The body roundness index (BRI) estimates visceral fat distribution, but its association with CVDs in large-scale Chinese cohort remained unexplored.</p><p><strong>Objectives: </strong>This study sought to investigate the association between BRI and cardiovascular outcome in the general Chinese population.</p><p><strong>Methods: </strong>In a prospective cohort of 488,656 CKD (China Kadoorie Biobank) participants free of CVDs, multivariable Cox proportional hazard models were employed to investigate the association between BRI and a composite outcome of coronary heart disease (CHD), heart failure (HF), stroke, and cardiovascular death. The mediation effect of hypertension and diabetes in the BRI-CVD association was further explored.</p><p><strong>Results: </strong>During a median follow-up of 10.2 years (Q1-Q3: 9.2-11.3 years), 76,891 of 488,656 cases (15.7%) of composite outcome were documented. Compared to the lowest BRI quartile, participants in the highest quartile exhibited significantly increased hazards of composite outcomes (HR: 1.37; 95% CI: 1.34-1.40), CHD (HR: 1.52; 95% CI: 1.47-1.57), HF (HR: 1.24; 95% CI: 1.13-1.37), and stroke (HR: 1.41; 95% CI: 1.37-1.46). Restricted cubic spline analysis demonstrated J-shaped dose-response associations between BRI and composite outcome or CHD, whereas the BRI-HF and BRI-cardiovascular death associations were U-shaped. Both hypertension and diabetes mediated the BRI-CVD association, with a mediation proportion of 14.2% (95% CI: 13.2%-15.0%) and 1.7% (95% CI: 1.4%-2.0%), respectively.</p><p><strong>Conclusions: </strong>In the CKB cohort, BRI was positively significantly associated with cardiovascular outcome. Hypertension could be a potential mediator in the BRI-CVD association.</p>","PeriodicalId":73529,"journal":{"name":"JACC. Asia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144692624","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}