Pub Date : 2024-12-01DOI: 10.1016/j.ijcha.2024.101551
Ana Moya , Elayne Kelen de Oliveira , Monika Beles , Dimitri Buytaert , Marc Goethals , Riet Dierckx , Jeroen Dauw , Jozef Bartunek , Ward A. Heggermont , Marc Vanderheyden
Background
Cardiac transthyretin (ATTR) amyloidosis is an often underdiagnosed and potentially fatal disorder associated with poor survival. The National Amyloidosis Centre (NAC) staging system, based on NT-proBNP level and eGFR value, discriminates patients according to survival rates. However, NAC stage II involves a heterogenous group of patients with variable prognosis. This retrospective single-center study was set up to explore the potential role of myocardial work (MW) analysis to enhance risk stratification of ATTR patients prior to therapy.
Methods and Results
37 patients diagnosed with ATTR between March 2021 and August 2023 were included. Baseline NT-proBNP and eGFR values were collected and LVEF, GLS and MW parameters were obtained from stored echocardiographic images. Patients were categorized per NAC stage (16 NAC I, 13 NAC II and 8 NAC III). Whereas the survival rate in NAC II and NAC III was significantly worse than in NAC I (p = 0.031 and p = 0.045 respectively), no significant difference was found between NAC II and III. In the ROC analysis, GCW proved to be the best survival predictor (AUC: 0.7) with optimal cut-off value 1294 mmHg%. Patients from NAC stage II were re-stratified according to GCW cut-off into HIGH RISK together with patients from NAC III or LOW RISK together with patients from NAC I. Patients in the HIGH RISK group exhibited a significantly worse prognosis with only 40 % survival at 2 years follow-up.
Conclusion
Our results demonstrate the advantages of incorporating MW analysis, particularly the use of a GCW cut-off, in the baseline risk stratification of ATTR patients.
{"title":"Myocardial work assessment to improve baseline risk stratification in patients with transthyretin amyloidosis","authors":"Ana Moya , Elayne Kelen de Oliveira , Monika Beles , Dimitri Buytaert , Marc Goethals , Riet Dierckx , Jeroen Dauw , Jozef Bartunek , Ward A. Heggermont , Marc Vanderheyden","doi":"10.1016/j.ijcha.2024.101551","DOIUrl":"10.1016/j.ijcha.2024.101551","url":null,"abstract":"<div><h3>Background</h3><div>Cardiac transthyretin (ATTR) amyloidosis is an often underdiagnosed and potentially fatal disorder associated with poor survival. The National Amyloidosis Centre (NAC) staging system, based on NT-proBNP level and eGFR value, discriminates patients according to survival rates. However, NAC stage II involves a heterogenous group of patients with variable prognosis. This retrospective single-center study was set up to explore the potential role of myocardial work (MW) analysis to enhance risk stratification of ATTR patients prior to therapy.</div></div><div><h3>Methods and Results</h3><div>37 patients diagnosed with ATTR between March 2021 and August 2023 were included. Baseline NT-proBNP and eGFR values were collected and LVEF, GLS and MW parameters were obtained from stored echocardiographic images. Patients were categorized per NAC stage (16 NAC I, 13 NAC II and 8 NAC III). Whereas the survival rate in NAC II and NAC III was significantly worse than in NAC I (p = 0.031 and p = 0.045 respectively), no significant difference was found between NAC II and III. In the ROC analysis, GCW proved to be the best survival predictor (AUC: 0.7) with optimal cut-off value 1294 mmHg%. Patients from NAC stage II were re-stratified according to GCW cut-off into HIGH RISK together with patients from NAC III or LOW RISK together with patients from NAC I. Patients in the HIGH RISK group exhibited a significantly worse prognosis with only 40 % survival at 2 years follow-up.</div></div><div><h3>Conclusion</h3><div>Our results demonstrate the advantages of incorporating MW analysis, particularly the use of a GCW cut-off, in the baseline risk stratification of ATTR patients.</div></div>","PeriodicalId":38026,"journal":{"name":"IJC Heart and Vasculature","volume":"55 ","pages":"Article 101551"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745085","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}
Pub Date : 2024-12-01DOI: 10.1016/j.ijcha.2024.101538
Josip Andelo Borovac , Mihajlo Kovacic , Stefan Harb
{"title":"Use of machine learning algorithms to predict outcomes among frail patients undergoing percutaneous coronary intervention: Are we there yet?","authors":"Josip Andelo Borovac , Mihajlo Kovacic , Stefan Harb","doi":"10.1016/j.ijcha.2024.101538","DOIUrl":"10.1016/j.ijcha.2024.101538","url":null,"abstract":"","PeriodicalId":38026,"journal":{"name":"IJC Heart and Vasculature","volume":"55 ","pages":"Article 101538"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745175","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}
Pub Date : 2024-12-01DOI: 10.1016/j.ijcha.2024.101573
Jina Choi , Joonghee Kim , Carmen Spaccarotella , Giovanni Esposito , Il-Young Oh , Youngjin Cho , Ciro Indolfi
Background
Acute coronary syndromes (ACS) require prompt diagnosis through initial electrocardiograms (ECG), but ECG machines are not always accessible. Meanwhile, smartwatches offering ECG functionality have become widespread. This study evaluates the feasibility of an image-based ECG analysis artificial intelligence (AI) system with smartwatch-based multichannel, asynchronous ECG for diagnosing ACS.
Methods
Fifty-six patients with ACS and 15 healthy participants were included, and their standard 12-lead and smartwatch-based 9-lead ECGs were analyzed. The ACS group was categorized into ACS with acute total occlusion (ACS-O(+), culprit stenosis ≥ 99 %, n = 44) and ACS without occlusion (ACS-O(−), culprit stenosis 70 % to < 99 %, n = 12) based on coronary angiography. A deep learning-based AI-ECG tool interpreting 2-dimensional ECG images generated probability scores for ST-elevation myocardial infarction (qSTEMI), ACS (qACS), and myocardial injury (qMI: troponin I > 0.1 ng/mL).
Results
The AI-driven qSTEMI, qACS, and qMI demonstrated correlation coefficients of 0.882, 0.874, and 0.872 between standard and smartwatch ECGs (all P < 0.001). The qACS score effectively distinguished ACS-O(±) from control, with AUROC for both ECGs (0.991 for standard and 0.987 for smartwatch, P = 0.745). The AUROC of qSTEMI in identifying ACS-O(+) from control was 0.989 and 0.982 with 12-lead and smartwatch (P = 0.617). Discriminating ACS-O(+) from ACS-O(−) or control presented a slight challenge, with an AUROC for qSTEMI of 0.855 for 12-lead and 0.880 for smartwatch ECGs (P = 0.352).
Conclusion
AI-ECG scores from standard and smartwatch-based ECGs showed high concordance with comparable diagnostic performance in differentiating ACS-O(+) and ACS-O(−). With increasing accessibility smartwatch accessibility, they may hold promise for aiding ACS diagnosis, regardless of location.
{"title":"Smartwatch ECG and artificial intelligence in detecting acute coronary syndrome compared to traditional 12-lead ECG","authors":"Jina Choi , Joonghee Kim , Carmen Spaccarotella , Giovanni Esposito , Il-Young Oh , Youngjin Cho , Ciro Indolfi","doi":"10.1016/j.ijcha.2024.101573","DOIUrl":"10.1016/j.ijcha.2024.101573","url":null,"abstract":"<div><h3>Background</h3><div>Acute coronary syndromes (ACS) require prompt diagnosis through initial electrocardiograms (ECG), but ECG machines are not always accessible. Meanwhile, smartwatches offering ECG functionality have become widespread. This study evaluates the feasibility of an image-based ECG analysis artificial intelligence (AI) system with smartwatch-based multichannel, asynchronous ECG for diagnosing ACS.</div></div><div><h3>Methods</h3><div>Fifty-six patients with ACS and 15 healthy participants were included, and their standard 12-lead and smartwatch-based 9-lead ECGs were analyzed. The ACS group was categorized into ACS with acute total occlusion (ACS-O(+), culprit stenosis ≥ 99 %, n = 44) and ACS without occlusion (ACS-O(−), culprit stenosis 70 % to < 99 %, n = 12) based on coronary angiography. A deep learning-based AI-ECG tool interpreting 2-dimensional ECG images generated probability scores for ST-elevation myocardial infarction (qSTEMI), ACS (qACS), and myocardial injury (qMI: troponin I > 0.1 ng/mL).</div></div><div><h3>Results</h3><div>The AI-driven qSTEMI, qACS, and qMI demonstrated correlation coefficients of 0.882, 0.874, and 0.872 between standard and smartwatch ECGs (all <em>P</em> < 0.001). The qACS score effectively distinguished ACS-O(±) from control, with AUROC for both ECGs (0.991 for standard and 0.987 for smartwatch, P = 0.745). The AUROC of qSTEMI in identifying ACS-O(+) from control was 0.989 and 0.982 with 12-lead and smartwatch (<em>P</em> = 0.617). Discriminating ACS-O(+) from ACS-O(−) or control presented a slight challenge, with an AUROC for qSTEMI of 0.855 for 12-lead and 0.880 for smartwatch ECGs (<em>P</em> = 0.352).</div></div><div><h3>Conclusion</h3><div>AI-ECG scores from standard and smartwatch-based ECGs showed high concordance with comparable diagnostic performance in differentiating ACS-O(+) and ACS-O(−). With increasing accessibility smartwatch accessibility, they may hold promise for aiding ACS diagnosis, regardless of location.</div></div>","PeriodicalId":38026,"journal":{"name":"IJC Heart and Vasculature","volume":"56 ","pages":"Article 101573"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757169","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}
Pub Date : 2024-12-01DOI: 10.1016/j.ijcha.2024.101501
Guanmou Li , Bo Peng , Junqiao Fan , Dongqun Lin , Kunyang He , Rongjun Zou , Xiaoping Fan
Background
There are some common pathophysiological risk factors between myocardial infarction and osteoporosis, and the exact relationship between the two is not yet clear. Our study aims to provide evidence on the relationship between myocardial infarction and osteoporosis through the analysis of data from the National Health and Nutrition Examination Survey (NHANES) and Mendelian Randomization (MR) analysis from 2015 to 2018.
Methods
A two-sample MR study using summary statistics from genome-wide association studies (GWAS) was conducted to determine the causal relationship between myocardial infarction and osteoporosis. The Inverse Variance Weighted (IVW) method and other supplementary MR methods were used to validate the causal relationship between myocardial infarction and osteoporosis. Sensitivity analysis was performed to verify the robustness of the results. Weighted multivariable adjusted logistic regression was used on the NHANES 2015–2018 data to evaluate the relationship between HDL, LDL, and BMD factors closely related to myocardial infarction.
Results
An observational study conducted in NHANES included a total of 2516 participants. Weighted multivariable adjusted logistic regression analysis showed that HDL was positively correlated with BMD, with OR and 95 % CI of 0.051 and 0.013–0.088, respectively. LDL was negatively correlated with BMD. The MR analysis also indicated a causal relationship between myocardial infarction and osteoporosis (IVW (OR = 1.16, 95 % CI = 1.02–1.32, P = 0.03)). Sensitivity analysis further confirmed the robustness and reliability of these study results (all P > 0.05).
Conclusion
There is a causal relationship between myocardial infarction and osteoporosis.
背景心肌梗死与骨质疏松之间存在一些共同的病理生理危险因素,两者之间的确切关系尚不清楚。我们的研究旨在通过分析2015 - 2018年国家健康与营养调查(NHANES)和孟德尔随机化(MR)分析的数据,为心肌梗死与骨质疏松症之间的关系提供证据。方法采用全基因组关联研究(GWAS)的汇总统计数据进行两样本MR研究,以确定心肌梗死与骨质疏松症之间的因果关系。采用逆方差加权(IVW)方法及其他辅助MR方法验证心肌梗死与骨质疏松之间的因果关系。进行敏感性分析以验证结果的稳健性。采用加权多变量调整logistic回归分析NHANES 2015-2018数据,评价与心肌梗死密切相关的HDL、LDL和BMD因素之间的关系。结果在NHANES中进行的一项观察性研究共纳入2516名参与者。加权多变量校正logistic回归分析显示HDL与BMD呈正相关,OR为0.051,95% CI为0.013 ~ 0.088。LDL与BMD呈负相关。MR分析还显示心肌梗死与骨质疏松之间存在因果关系(IVW (OR = 1.16, 95% CI = 1.02-1.32, P = 0.03))。敏感性分析进一步证实了这些研究结果的稳健性和可靠性(所有P >;0.05)。结论心肌梗死与骨质疏松有一定的因果关系。
{"title":"Risk of myocardial infarction and Osteoporosis: Insights from the 2015–2018 NHANES and Mendelian randomization Studies","authors":"Guanmou Li , Bo Peng , Junqiao Fan , Dongqun Lin , Kunyang He , Rongjun Zou , Xiaoping Fan","doi":"10.1016/j.ijcha.2024.101501","DOIUrl":"10.1016/j.ijcha.2024.101501","url":null,"abstract":"<div><h3>Background</h3><div>There are some common pathophysiological risk factors between myocardial infarction and osteoporosis, and the exact relationship between the two is not yet clear. Our study aims to provide evidence on the relationship between myocardial infarction and osteoporosis through the analysis of data from the National Health and Nutrition Examination Survey (NHANES) and Mendelian Randomization (MR) analysis from 2015 to 2018.</div></div><div><h3>Methods</h3><div>A two-sample MR study using summary statistics from genome-wide association studies (GWAS) was conducted to determine the causal relationship between myocardial infarction and osteoporosis. The Inverse Variance Weighted (IVW) method and other supplementary MR methods were used to validate the causal relationship between myocardial infarction and osteoporosis. Sensitivity analysis was performed to verify the robustness of the results. Weighted multivariable adjusted logistic regression was used on the NHANES 2015–2018 data to evaluate the relationship between HDL, LDL, and BMD factors closely related to myocardial infarction.</div></div><div><h3>Results</h3><div>An observational study conducted in NHANES included a total of 2516 participants. Weighted multivariable adjusted logistic regression analysis showed that HDL was positively correlated with BMD, with OR and 95 % CI of 0.051 and 0.013–0.088, respectively. LDL was negatively correlated with BMD. The MR analysis also indicated a causal relationship between myocardial infarction and osteoporosis (IVW (OR = 1.16, 95 % CI = 1.02–1.32, P = 0.03)). Sensitivity analysis further confirmed the robustness and reliability of these study results (all P > 0.05).</div></div><div><h3>Conclusion</h3><div>There is a causal relationship between myocardial infarction and osteoporosis.</div></div>","PeriodicalId":38026,"journal":{"name":"IJC Heart and Vasculature","volume":"55 ","pages":"Article 101501"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745089","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}
Pub Date : 2024-12-01DOI: 10.1016/j.ijcha.2024.101531
Yangyang Ke , Wengen Zhu , Wulamiding Kaisaier , Yili Chen
Background
Several studies have reported the association between inflammatory bowel disease (IBD) and the risk of atrial fibrillation (AF). This systematic review and meta-analysis aimed to determine the prevalence and incidence of AF in the IBD population.
Methods
We conducted a systematic search of the PubMed and Embase databases for relevant studies published up to February 2024. We used the random-effects model to pool the prevalence and incidence rates of AF among IBD patients. The subgroup analyses were performed according to the IBD type.
Results
A total of twenty-five studies were included. The pooled prevalence of AF among IBD patients was 6.23 % (95 % confidence interval [CI]: 4.99 %−7.47 %). The incidence rate of AF among IBD patients was 3.53 % (95 % CI: 0.57 %−6.48 %). The risk of developing AF in IBD patients was 1.45 times higher than that in the general population (risk ratio [RR]: 1.45, 95 % CI: 1.21–1.73). When comparing specific IBD types to the general population, the RR was 1.35 (95 % CI: 1.11–1.64) for CD and 1.17 (95 % CI: 1.11–1.23) for UC.
Conclusions
Our findings suggest that IBD patients exhibit an increased risk of developing AF compared to the general population. CD patients have a higher AF incidence compared to UC patients.
{"title":"Risk of atrial fibrillation in patients with inflammatory bowel disease: A systematic review and meta-analysis","authors":"Yangyang Ke , Wengen Zhu , Wulamiding Kaisaier , Yili Chen","doi":"10.1016/j.ijcha.2024.101531","DOIUrl":"10.1016/j.ijcha.2024.101531","url":null,"abstract":"<div><h3>Background</h3><div>Several studies have reported the association between inflammatory bowel disease (IBD) and the risk of atrial fibrillation (AF). This systematic review and <em>meta</em>-analysis aimed to determine the prevalence and incidence of AF in the IBD population.</div></div><div><h3>Methods</h3><div>We conducted a systematic search of the PubMed and Embase databases for relevant studies published up to February 2024. We used the random-effects model to pool the prevalence and incidence rates of AF among IBD patients. The subgroup analyses were performed according to the IBD type.</div></div><div><h3>Results</h3><div>A total of twenty-five studies were included. The pooled prevalence of AF among IBD patients was 6.23 % (95 % confidence interval [CI]: 4.99 %−7.47 %). The incidence rate of AF among IBD patients was 3.53 % (95 % CI: 0.57 %−6.48 %). The risk of developing AF in IBD patients was 1.45 times higher than that in the general population (risk ratio [RR]: 1.45, 95 % CI: 1.21–1.73). When comparing specific IBD types to the general population, the RR was 1.35 (95 % CI: 1.11–1.64) for CD and 1.17 (95 % CI: 1.11–1.23) for UC.</div></div><div><h3>Conclusions</h3><div>Our findings suggest that IBD patients exhibit an increased risk of developing AF compared to the general population. CD patients have a higher AF incidence compared to UC patients.</div></div>","PeriodicalId":38026,"journal":{"name":"IJC Heart and Vasculature","volume":"55 ","pages":"Article 101531"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745086","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}
Pub Date : 2024-12-01DOI: 10.1016/j.ijcha.2024.101528
Danny van Noort , Liang Guo , Shuang Leng , Luming Shi , Ru-San Tan , Lynette Teo , Min Sen Yew , Lohendran Baskaran , Ping Chai , Felix Keng , Mark Chan , Terrance Chua , Swee Yaw Tan , Liang Zhong
Background
The use of machine learning (ML) based coronary computed tomography angiography (CCTA) derived fractional flow reserve (ML-FFRCT), shortens the time of diagnosis of ischemia considerably and eliminates unnecessary invasive procedures, when compared to invasive coronary angiography with invasive FFR (iFFR). This systematic review aims to summarize the current evidence on the diagnostic accuracy of (ML-FFRCT) compared with iFFR for diagnosis of patient- and vessel-level coronary ischemia.
Methods
To identify suitable studies, comprehensive literature search was performed in PubMed, the Cochrane Library, Embase, up to August 2023. The index test was ML derived FFR and studies with diagnostic test accuracy data of ML-FFRCT at a threshold of 0.8 were included for the review and meta-analysis. Quality of evidence was assessed using QUADAS-2 checklist.
Results
After full text review of 230 identified studies, 17 were included for analysis, which encompassed 3255 participants (age 62.0 ± 3.7). 8 studies reported patient-level data; and 12, vessel-level data. With iFFR as the reference standard, the pooled patient-level sensitivity, specificity, and area-under-curve (AUC) of ML-FFRCT were 0.86 [95 % CI: 0.79, 0.91], 0.87 [95 % CI: 0.76, 0.94], and 0.92 [95 % CI: 0.89–0.94], respectively; and pooled vessel-level sensitivity, specificity, and AUC, 0.80 [95 % CI: 0.74–0.84], 0.84 [95 % CI: 0.77–0.89), and 0.88 [95 % CI: 0.85–0.91], respectively.
Conclusions
This systemic review demonstrated the favourable diagnostic performance of ML-FFRCT against standard iFFR, although heterogeneity exists, providing support for the use of ML-FFRCT as a triage tool for non-invasive screening of coronary ischemia in the clinical setting.
{"title":"Evaluating machine learning accuracy in detecting significant coronary stenosis using CCTA-derived fractional flow reserve: Meta-analysis and systematic review","authors":"Danny van Noort , Liang Guo , Shuang Leng , Luming Shi , Ru-San Tan , Lynette Teo , Min Sen Yew , Lohendran Baskaran , Ping Chai , Felix Keng , Mark Chan , Terrance Chua , Swee Yaw Tan , Liang Zhong","doi":"10.1016/j.ijcha.2024.101528","DOIUrl":"10.1016/j.ijcha.2024.101528","url":null,"abstract":"<div><h3>Background</h3><div>The use of machine learning (ML) based coronary computed tomography angiography (CCTA) derived fractional flow reserve (ML-FFR<sub>CT</sub>), shortens the time of diagnosis of ischemia considerably and eliminates unnecessary invasive procedures, when compared to invasive coronary angiography with invasive FFR (iFFR). This systematic review aims to summarize the current evidence on the diagnostic accuracy of (ML-FFR<sub>CT</sub>) compared with iFFR for diagnosis of patient- and vessel-level coronary ischemia.</div></div><div><h3>Methods</h3><div>To identify suitable studies, comprehensive literature search was performed in PubMed, the Cochrane Library, Embase, up to August 2023. The index test was ML derived FFR and studies with diagnostic test accuracy data of ML-FFR<sub>CT</sub> at a threshold of 0.8 were included for the review and <em>meta</em>-analysis. Quality of evidence was assessed using QUADAS-2 checklist.</div></div><div><h3>Results</h3><div>After full text review of 230 identified studies, 17 were included for analysis, which encompassed 3255 participants (age 62.0 ± 3.7). 8 studies reported patient-level data; and 12, vessel-level data. With iFFR as the reference standard, the pooled patient-level sensitivity, specificity, and area-under-curve (AUC) of ML-FFR<sub>CT</sub> were 0.86 [95 % CI: 0.79, 0.91], 0.87 [95 % CI: 0.76, 0.94], and 0.92 [95 % CI: 0.89–0.94], respectively; and pooled vessel-level sensitivity, specificity, and AUC, 0.80 [95 % CI: 0.74–0.84], 0.84 [95 % CI: 0.77–0.89), and 0.88 [95 % CI: 0.85–0.91], respectively.</div></div><div><h3>Conclusions</h3><div>This systemic review demonstrated the favourable diagnostic performance of ML-FFR<sub>CT</sub> against standard iFFR, although heterogeneity exists, providing support for the use of ML-FFR<sub>CT</sub> as a triage tool for non-invasive screening of coronary ischemia in the clinical setting.</div></div>","PeriodicalId":38026,"journal":{"name":"IJC Heart and Vasculature","volume":"55 ","pages":"Article 101528"},"PeriodicalIF":2.5,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142745090","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}
Pub Date : 2024-11-30DOI: 10.1016/j.ijcha.2024.101567
Chengxi Yan , Ying Chang , FangWu , Minglei Yang , Shuangfeng Dai , Jiannan Zhang , Yuelang Zhang
Objectives
To evaluate the prognostic value of lateral mitral annular plane systolic excursion (MAPSE) in the prediction of major adverse cardiology events (MACE) in patients with suspected coronary artery disease (CAD).
Methods
233 consecutive patients were enrolled with suspected CAD from October 2012 to September 2013 and performed contrast-enhanced cardiac magnetic resonance (CMR) and two-dimensional echocardiogram studies no later than 72 h after admission. CMR imaging protocol included 4-chamber cine(cine-CMR), cardiovascular magnetic resonance angiography (CMRA) and late gadolinium enhancement (LGE). The primary endpoint is the time of first occurrence of a MACE The independent association between lateral MAPSE and MACE was evaluated by Kaplan-Meier analysis and multivariable Cox regression analysis. C statistic and net reclassification improvement (NRI) were used to evaluate the prognostic value of lateral MAPSE in MACE.
Results
Forty-five MACE occurred during an average follow-up of 9.2 years. Patients with lateral MAPSE<9.885 mm experienced a significantly higher incidence of MACE than patients with lateral MAPSE ≥ 9.885 mm (P<0.001). After adjustment for established univariate predictors (age, diabetes, hypertension, hypercholesterolemia, transmural myocardial infarction), lateral MAPSE remained a significant independent predictor of MACE (HR = 1.373; P = 0.020). The incorporation of lateral MAPSE into the risk model resulted in significant improvement in C statistic (increasing from 0.668 to 0.844; P = 0.005). NRI improvement was 0.33 (P<0.001).
Conclusions
lateral MAPSE derived from cine-CMR is an independent predictor of MACE, and improve risk reclassification beyond traditional clinical and CMR risk factors in patients with suspected coronary disease.
{"title":"Evaluation of the prognostic value of lateral MAPSE in patients with suspected coronary artery disease","authors":"Chengxi Yan , Ying Chang , FangWu , Minglei Yang , Shuangfeng Dai , Jiannan Zhang , Yuelang Zhang","doi":"10.1016/j.ijcha.2024.101567","DOIUrl":"10.1016/j.ijcha.2024.101567","url":null,"abstract":"<div><h3>Objectives</h3><div>To evaluate the prognostic value of lateral mitral annular plane systolic excursion (MAPSE) in the prediction of major adverse cardiology events (MACE) in patients with suspected coronary artery disease (CAD).</div></div><div><h3>Methods</h3><div>233 consecutive patients were enrolled with suspected CAD from October 2012 to September 2013 and performed contrast-enhanced cardiac magnetic resonance (CMR) and two-dimensional echocardiogram studies no later than 72 h after admission. CMR imaging protocol included 4-chamber cine(cine-CMR), cardiovascular magnetic resonance angiography (CMRA) and late gadolinium enhancement (LGE). The primary endpoint is the time of first occurrence of a MACE The independent association between lateral MAPSE and MACE was evaluated by Kaplan-Meier analysis and multivariable Cox regression analysis. C statistic and net reclassification improvement (NRI) were used to evaluate the prognostic value of lateral MAPSE in MACE.</div></div><div><h3>Results</h3><div>Forty-five MACE occurred during an average follow-up of 9.2 years. Patients with lateral MAPSE<9.885 mm experienced a significantly higher incidence of MACE than patients with lateral MAPSE ≥ 9.885 mm (<em>P</em><0.001). After adjustment for established univariate predictors (age, diabetes, hypertension, hypercholesterolemia, transmural myocardial infarction), lateral MAPSE remained a significant independent predictor of MACE (HR = 1.373; <em>P</em> = 0.020). The incorporation of lateral MAPSE into the risk model resulted in significant improvement in C statistic (increasing from 0.668 to 0.844; <em>P</em> = 0.005). NRI improvement was 0.33 (<em>P</em><0.001).</div></div><div><h3>Conclusions</h3><div>lateral MAPSE derived from cine-CMR is an independent predictor of MACE, and improve risk reclassification beyond traditional clinical and CMR risk factors in patients with suspected coronary disease.</div></div>","PeriodicalId":38026,"journal":{"name":"IJC Heart and Vasculature","volume":"56 ","pages":"Article 101567"},"PeriodicalIF":2.5,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747938","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}
Pub Date : 2024-11-30DOI: 10.1016/j.ijcha.2024.101574
Wu He , Gen Li , Ke Xu , Bo Yu , Yang Sun , Kaineng Zhong , Da Zhou , Yongcui Yan , Junfang Wu , Dao Wen Wang
Background
Coronavirus disease (COVID-19) remains one of the most significant factors threatening public health security worldwide. The COVID-19 pandemic has been ongoing for more than 3 years; however, there are few studies on the clinical characteristics and mortality risk factors in patients with COVID-19 based on comprehensive data from multiple centers.
Methods
A total of 53,030 patients with confirmed COVID-19 from 138 hospitals in Hubei Province were included in this study. We compared the clinical characteristics between survivors and non-survivors and analyzed the risk factors for in-hospital mortality.
Results
Among the 53,030 patients with COVID-19, 49,320 (93.0 %) were discharged, and 3,710 (7.0 %) died during hospitalization. Cardiovascular disease was the most common comorbidity, followed by endocrine and digestive diseases. Male sex, >65-year-old, and high diastolic blood pressure, a series of abnormal laboratory test indicators and hyponatremia, hypokalemia, acute respiratory distress syndrome, shock, solid tumor, hematological tumor, and insulin use were independent risk factors for in-hospital mortality of patients with COVID-19. In addition, male sex, older age, and higher disease severity were associated with increased mortality in patients with COVID-19.
Conclusion
Patients with early COVID-19 in Hubei Province had high mortality and a high proportion of severe cases and initial comorbidities. Cardiovascular disease was the most common comorbidity in patients with COVID-19. Male sex, older age, comorbidities, and abnormal laboratory data have been identified as independent risk factors for in-hospital mortality in patients with COVID-19. Therefore, there should be an increased focus on patients with COVID-19 with these risk factors.
{"title":"Clinical characteristics and risk factors for in-hospital mortality of COVID-19 patients in Hubei Province: A multicenter retrospective study","authors":"Wu He , Gen Li , Ke Xu , Bo Yu , Yang Sun , Kaineng Zhong , Da Zhou , Yongcui Yan , Junfang Wu , Dao Wen Wang","doi":"10.1016/j.ijcha.2024.101574","DOIUrl":"10.1016/j.ijcha.2024.101574","url":null,"abstract":"<div><h3>Background</h3><div>Coronavirus disease (COVID-19) remains one of the most significant factors threatening public health security worldwide. The COVID-19 pandemic has been ongoing for more than 3 years; however, there are few studies on the clinical characteristics and mortality risk factors in patients with COVID-19 based on comprehensive data from multiple centers.</div></div><div><h3>Methods</h3><div>A total of 53,030 patients with confirmed COVID-19 from 138 hospitals in Hubei Province were included in this study. We compared the clinical characteristics between survivors and non-survivors and analyzed the risk factors for in-hospital mortality.</div></div><div><h3>Results</h3><div>Among the 53,030 patients with COVID-19, 49,320 (93.0 %) were discharged, and 3,710 (7.0 %) died during hospitalization. Cardiovascular disease was the most common comorbidity, followed by endocrine and digestive diseases. Male sex, >65-year-old, and high diastolic blood pressure, a series of abnormal laboratory test indicators and hyponatremia, hypokalemia, acute respiratory distress syndrome, shock, solid tumor, hematological tumor, and insulin use were independent risk factors for in-hospital mortality of patients with COVID-19. In addition, male sex, older age, and higher disease severity were associated with increased mortality in patients with COVID-19.</div></div><div><h3>Conclusion</h3><div>Patients with early COVID-19 in Hubei Province had high mortality and a high proportion of severe cases and initial comorbidities. Cardiovascular disease was the most common comorbidity in patients with COVID-19. Male sex, older age, comorbidities, and abnormal laboratory data have been identified as independent risk factors for in-hospital mortality in patients with COVID-19. Therefore, there should be an increased focus on patients with COVID-19 with these risk factors.</div></div>","PeriodicalId":38026,"journal":{"name":"IJC Heart and Vasculature","volume":"56 ","pages":"Article 101574"},"PeriodicalIF":2.5,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757168","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}
Coronary Artery Bypass Grafting (CABG) is the most common cardiac surgery, yet little is known about unplanned readmissions after CABG despite increasing clinical and policy focus on reducing readmissions. We assessed the incidence, timing, and reasons for unplanned readmission within 30 days of CABG and evaluated for variation in readmission rates across hospitals in Australia and New Zealand (ANZ).
Method
We identified isolated CABG procedures from 2013 to 2017 across all public and most private hospitals in ANZ. The primary outcome was unplanned (acute) readmissions within 30-days of discharge. Hospital specific risk standardised readmission rates (RSRRs) and 95% CI were estimated using a hierarchical generalized linear model accounting for differences in patient characteristics.
Results
52,104 patients (mean age 66.1 ± 9.9 years, 17.6 % female, 30.7 % acute) were included. The 30-day unplanned readmission rate was 12.7 % (n = 6,613) and was higher following urgent surgery (16.2 %, n = 2,595). Readmission rates peaked on days 2–4 with a median time to readmission of 9 (IQR: 4–17) days. Procedural complications and chest pain were the most common diagnoses on readmission. Risk adjustment model demonstrated satisfactory performance (C-statistic = 0.62). The median RSRR was 12.8 % (range: 6.1–20.3 %) across 37 hospitals. Only one hospital had its RSRR estimate lower than average and no hospitals had higher than average RSRR.
Conclusion
One-in-8 patients undergoing CABG experienced an unplanned readmission within 30-day, rising to one-in-6 following urgent CABG. There was little statistically significant institutional variation in RSRR. Nevertheless, many readmissions are likely related to care quality and potentially preventable, highlighting scope for clinical and policy interventions to reduce readmissions.
{"title":"Incidence, timing and variation in unplanned readmissions within 30-days following isolated coronary artery bypass grafting","authors":"Aayush Patel , Sunnya Khawaja , Trang Dang , Isuru Ranasinghe","doi":"10.1016/j.ijcha.2024.101552","DOIUrl":"10.1016/j.ijcha.2024.101552","url":null,"abstract":"<div><h3>Background</h3><div>Coronary Artery Bypass Grafting (CABG) is the most common cardiac surgery, yet little is known about unplanned readmissions after CABG despite increasing clinical and policy focus on reducing readmissions. We assessed the incidence, timing, and reasons for unplanned readmission within 30 days of CABG and evaluated for variation in readmission rates across hospitals in Australia and New Zealand (ANZ).</div></div><div><h3>Method</h3><div>We identified isolated CABG procedures from 2013 to 2017 across all public and most private hospitals in ANZ. The primary outcome was unplanned (acute) readmissions within 30-days of discharge. Hospital specific risk standardised readmission rates (RSRRs) and 95% CI were estimated using a hierarchical generalized linear model accounting for differences in patient characteristics.</div></div><div><h3>Results</h3><div>52,104 patients (mean age 66.1 ± 9.9 years, 17.6 % female, 30.7 % acute) were included. The 30-day unplanned readmission rate was 12.7 % (n = 6,613) and was higher following urgent surgery (16.2 %, n = 2,595). Readmission rates peaked on days 2–4 with a median time to readmission of 9 (IQR: 4–17) days. Procedural complications and chest pain were the most common diagnoses on readmission. Risk adjustment model demonstrated satisfactory performance (C-statistic = 0.62). The median RSRR was 12.8 % (range: 6.1–20.3 %) across 37 hospitals. Only one hospital had its RSRR estimate lower than average and no hospitals had higher than average RSRR.</div></div><div><h3>Conclusion</h3><div>One-in-8 patients undergoing CABG experienced an unplanned readmission within 30-day, rising to one-in-6 following urgent CABG. There was little statistically significant institutional variation in RSRR. Nevertheless, many readmissions are likely related to care quality and potentially preventable, highlighting scope for clinical and policy interventions to reduce readmissions.</div></div>","PeriodicalId":38026,"journal":{"name":"IJC Heart and Vasculature","volume":"56 ","pages":"Article 101552"},"PeriodicalIF":2.5,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747461","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}
Pub Date : 2024-11-26DOI: 10.1016/j.ijcha.2024.101569
Changrong Nie , Yifeng Zhu , Minghu Xiao , Changsheng Zhu , Yanhai Meng , Zhengyang Lu , Qiulan Yang , Shuiyun Wang
Background
Pulmonary hypertension (PH) and female have been linked to a worse survival in patients with obstructive hypertrophic cardiomyopathy (oHCM). However, female patients with PH exhibited a better prognosis than males. Herein, we investigated sex differences in the prevalence and survival of pH in oHCM following septal myectomy.
Methods
We consecutively enrolled 1491 patients diagnosed with oHCM. PH was defined as a pulmonary artery systolic pressure (PASP) > 36 mm Hg.
Results
Females were older, more likely to experience chest pain and NYHA class III/IV symptoms, and had a higher prevalence of PH (37.6 % vs. 19.9 %, p < 0.001) than males. Multivariable analysis showed that female was an independent risk for PH (OR 2.3, 95 % CI: 1.70–3.11, p < 0.001) though the PASP was comparable between males and females (44.93 ± 10.87 vs. 44.74 ± 9.72 mm Hg, p = 0.856). Over a median follow-up of 36 months [IQR 23.5–52.5 months), 28 deaths and 189 composite endpoints were observed. Kaplan-Meier analysis showed a higher cumulative incidence of death (p = 0.015) and composite endpoints (p < 0.001) in patients with PH, and Cox regression analysis revealed that PH (HR 1.78, 95 % CI: 1.30–2.45, p < 0.001) and female (HR 1.39, 95 % CI: 1.02–1.90, p = 0.038) were independently associated with composite endpoints. However, no significant survival differences were found between males and females within the PH subgroup.
Conclusions
Female was independently associated with higher prevalence but not severity of PH. Although PH and female were independently associated with worse survival, no survival difference was found between males and females in the PH subgroup.
{"title":"Sex differences in the prevalence and survival of pulmonary hypertension in obstructive hypertrophic cardiomyopathy following septal myectomy","authors":"Changrong Nie , Yifeng Zhu , Minghu Xiao , Changsheng Zhu , Yanhai Meng , Zhengyang Lu , Qiulan Yang , Shuiyun Wang","doi":"10.1016/j.ijcha.2024.101569","DOIUrl":"10.1016/j.ijcha.2024.101569","url":null,"abstract":"<div><h3>Background</h3><div>Pulmonary hypertension (PH) and female have been linked to a worse survival in patients with obstructive hypertrophic cardiomyopathy (oHCM). However, female patients with PH exhibited a better prognosis than males. Herein, we investigated sex differences in the prevalence and survival of pH in oHCM following septal myectomy.</div></div><div><h3>Methods</h3><div>We consecutively enrolled 1491 patients diagnosed with oHCM. PH was defined as a pulmonary artery systolic pressure (PASP) > 36 mm Hg.</div></div><div><h3>Results</h3><div>Females were older, more likely to experience chest pain and NYHA class III/IV symptoms, and had a higher prevalence of PH (37.6 % vs. 19.9 %, p < 0.001) than males. Multivariable analysis showed that female was an independent risk for PH (OR 2.3, 95 % CI: 1.70–3.11, p < 0.001) though the PASP was comparable between males and females (44.93 ± 10.87 vs. 44.74 ± 9.72 mm Hg, p = 0.856). Over a median follow-up of 36 months [IQR 23.5–52.5 months), 28 deaths and 189 composite endpoints were observed. Kaplan-Meier analysis showed a higher cumulative incidence of death (p = 0.015) and composite endpoints (p < 0.001) in patients with PH, and Cox regression analysis revealed that PH (HR 1.78, 95 % CI: 1.30–2.45, p < 0.001) and female (HR 1.39, 95 % CI: 1.02–1.90, p = 0.038) were independently associated with composite endpoints. However, no significant survival differences were found between males and females within the PH subgroup.</div></div><div><h3>Conclusions</h3><div>Female was independently associated with higher prevalence but not severity of PH. Although PH and female were independently associated with worse survival, no survival difference was found between males and females in the PH subgroup.</div></div>","PeriodicalId":38026,"journal":{"name":"IJC Heart and Vasculature","volume":"56 ","pages":"Article 101569"},"PeriodicalIF":2.5,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142722692","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}