Chun-Mei Gao, Fan Xie, Han Gao, Ye Chen, Hui Wang, Qiu-Qin Xu, Xin-Lu Hu, Ling Sun, Yun-Jia Tang, Shu-Hui Wang, Hai-Tao Lv
{"title":"An Integrated Heart Sound-Electrocardiogram Synchronization System for Early Detecting Left Ventricular Systolic Dysfunction in Pediatric Populations.","authors":"Chun-Mei Gao, Fan Xie, Han Gao, Ye Chen, Hui Wang, Qiu-Qin Xu, Xin-Lu Hu, Ling Sun, Yun-Jia Tang, Shu-Hui Wang, Hai-Tao Lv","doi":"10.1111/anec.70204","DOIUrl":"10.1111/anec.70204","url":null,"abstract":"<p><strong>Background: </strong>Early detection of pediatric left ventricular systolic dysfunction (LVSD) remains challenging in resource-limited settings. This study evaluates a novel synchronized heart sound-electrocardiogram (HS-ECG) system for LVSD detection in underserved pediatric populations.</p><p><strong>Hypothesis: </strong>Cardiac acoustic biomarkers (CABs) enable age-specific early detection of pediatric LVSD.</p><p><strong>Methods: </strong>This prospective cohort study enrolled 212 children aged 3-16 years, classified into case (LVEF ≤ 55%, n = 80) and control (LVEF > 55%, n = 132) groups with age stratification (3-6 and 7-16 years). All underwent synchronized HS-ECG recording using a high-fidelity wearable device. Signals were processed via wavelet analysis to derive CABs including electromechanical activation time (EMAT), pre - ejection period (PEP), left ventricular ejection time (LVET), left ventricular systolic time (LVST), their rate-corrected values (EMATc, PEPc, LVETc, LVSTc), and the PEP/LVET ratio. Echocardiographic LVEF served as the reference standard.</p><p><strong>Results: </strong>In children aged 3-6 years, EMATc showed strong inverse correlation with LVEF (r = -0.529, p < 0.001) and AUC = 0.821 (cutoff: 11.80%; sensitivity 82.5%, specificity 84.7%). In those aged 7-16 years, EMAT demonstrated superior performance (r = -0.609, p < 0.001; AUC = 0.896; cutoff: 82.50 ms; sensitivity 82.5%, specificity 93.2%).</p><p><strong>Conclusion: </strong>The synchronized HS-ECG system provides clinically valuable biomarkers for pediatric LVSD diagnosis, demonstrating distinct age-dependent diagnostic patterns: EMATc shows optimal performance in younger children (3-6 years), while EMAT exhibits superior efficacy in older children (7-16 years).</p>","PeriodicalId":8074,"journal":{"name":"Annals of Noninvasive Electrocardiology","volume":"31 3","pages":"e70204"},"PeriodicalIF":0.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13239255/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147980059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Osman Karaarslan, Mehmet Mustafa Yılmaz, Macit Kalçık
{"title":"Management of Sinus Node Dysfunction After AF Ablation: Beyond a Conservative Strategy.","authors":"Osman Karaarslan, Mehmet Mustafa Yılmaz, Macit Kalçık","doi":"10.1111/anec.70201","DOIUrl":"10.1111/anec.70201","url":null,"abstract":"","PeriodicalId":8074,"journal":{"name":"Annals of Noninvasive Electrocardiology","volume":"31 3","pages":"e70201"},"PeriodicalIF":0.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13176643/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147940058","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Letter to the Editor, \"Critique on the Prediction of Sinus Rhythm Maintenance After Electrical Cardioversion Using Spectral and Vector Cardiographic ECG Analysis\".","authors":"Ahmed Raza, Shahzadi Gulfishan, Abdullah Aman","doi":"10.1111/anec.70200","DOIUrl":"10.1111/anec.70200","url":null,"abstract":"","PeriodicalId":8074,"journal":{"name":"Annals of Noninvasive Electrocardiology","volume":"31 3","pages":"e70200"},"PeriodicalIF":0.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13172259/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147925924","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Correction to \"Physical Exercise Before Long-Term Electrocardiogram May Enhance the Assessment of Nocturnal Heart Rate Variability in Young Individuals With Type 1 Diabetes Mellitus\".","authors":"","doi":"10.1111/anec.70203","DOIUrl":"10.1111/anec.70203","url":null,"abstract":"","PeriodicalId":8074,"journal":{"name":"Annals of Noninvasive Electrocardiology","volume":"31 3","pages":"e70203"},"PeriodicalIF":0.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13239900/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148026059","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Commentary on “Electrocardiographic Predictors of Major Adverse Cardiovascular Events in Women With Suspected Ischemia and No Obstructive Coronary Artery Disease: Results of the Women's Ischemia Syndrome Evaluation”","authors":"Fatih Enes Durmaz, Bülent Görenek","doi":"10.1111/anec.70194","DOIUrl":"10.1111/anec.70194","url":null,"abstract":"<p>We read with great interest the recent article by Dungan et al. investigating electrocardiographic predictors of major adverse cardiovascular events (MACE) in women with ischemia and no obstructive coronary artery disease (INOCA). Identification of simple and widely available risk markers in this patient population is clinically important, as INOCA is increasingly recognized as a condition associated with significant cardiovascular risk despite the absence of obstructive coronary artery disease. Nevertheless, several methodological aspects warrant further consideration.</p><p>First, although resting heart rate (RHR) was identified as an independent predictor of MACE, receiver operating characteristic (ROC) analysis and a clinically relevant cut-off were not reported. Despite statistical significance in Cox regression (HR 1.018, 95% CI 1.0–1.035), the absence of discrimination analysis limits assessment of clinical usefulness. Without AUC-based evaluation, the incremental value of RHR for risk stratification remains uncertain.</p><p>Second, although the study is presented as an electrocardiographic investigation, conventional ECG parameters such as PR interval, QRS duration, and QTc interval were not independently associated with MACE. Resting heart rate was the only significant parameter, which may reflect a clinical vital sign rather than a specific electrophysiological marker. Prior studies suggest that depolarization and repolarization abnormalities may provide prognostic information (Rautaharju et al. <span>2013</span>), and limiting evaluation to basic ECG intervals may reduce the ability to identify meaningful predictors.</p><p>Furthermore, the magnitude of the association between RHR and MACE appears relatively modest. A hazard ratio of 1.018 corresponds to approximately a 1.8% increase in risk per 1 beat per minute increase in heart rate. In addition, the mean difference in heart rate between patients with and without MACE was small (71.9 vs. 69.7 bpm), suggesting limited discriminative ability. Although increased resting heart rate has been associated with cardiovascular risk in population studies, small absolute differences may have limited clinical impact (Fox et al. <span>2007</span>).</p><p>Another important consideration is the possible interaction between congestive heart failure (CHF), anemia, and resting heart rate. In the present study, CHF was one of the strongest predictors of MACE (HR 4.688), suggesting that baseline clinical severity strongly influences outcomes. Anemia is common in patients with heart failure and is associated with increased mortality and hospitalization risk (Ezekowitz et al. <span>2003</span>). Reduced hemoglobin may cause compensatory tachycardia to maintain oxygen delivery. Because anemia was not assessed, elevated resting heart rate may reflect impaired oxygen transport rather than primary electrophysiological risk. Adjustment for hemoglobin could clarify whether RHR is an independent predictor.</p>","PeriodicalId":8074,"journal":{"name":"Annals of Noninvasive Electrocardiology","volume":"31 3","pages":""},"PeriodicalIF":1.1,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13107111/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147760406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reconsidering the Role of Resting Heart Rate as a Sole Electrocardiographic Predictor of MACE in Women With INOCA","authors":"Ahmet Yılmaz","doi":"10.1111/anec.70193","DOIUrl":"10.1111/anec.70193","url":null,"abstract":"<p>We read with great interest the recent article by Dungan et al., evaluating electrocardiographic predictors of major adverse cardiovascular events (MACE) in women with ischemia and no obstructive coronary arteries (INOCA) (Dungan et al. <span>2026</span>). The authors are to be commended for addressing this underrecognized and clinically complex population.</p><p>The identification of resting heart rate (RHR) as an independent predictor of MACE is noteworthy; however, several issues merit further consideration. Although statistically significant (HR: 1.018), the effect size is modest, with only an approximately 2 bpm difference between groups, raising concerns regarding its clinical relevance. This suggests that RHR may not represent a causal determinant of adverse outcomes but rather an integrative downstream marker reflecting autonomic imbalance and underlying cardiometabolic burden.</p><p>The absence of significant associations for other established ECG parameters, such as QTc interval, QRS duration, and ST-T abnormalities, is notably discordant with prior literature including earlier WISE analyses (Merz et al. <span>1999</span>). This discrepancy may be related to methodological factors. Specifically, the use of stepwise regression in a relatively limited event setting raises concerns regarding model stability and potential overfitting. While bootstrapping improves internal validity, it does not fully address issues of generalizability, and relevant ECG predictors may have been excluded due to collinearity or model selection constraints.</p><p>Beyond its statistical association, resting heart rate should therefore be interpreted cautiously, as it likely reflects a composite physiological signal integrating sympathetic activation, vascular stiffness, and systemic cardiometabolic stress rather than a direct mechanistic driver of events. In this context, reliance on a single static ECG parameter may oversimplify the complex pathophysiology of INOCA, which is increasingly recognized as a disorder of coronary microvascular dysfunction and systemic hemodynamic dysregulation.</p><p>An additional limitation is the lack of heart rate variability (HRV) and ambulatory monitoring data. HRV represents a more sensitive marker of autonomic dysfunction and may provide superior prognostic discrimination compared to static RHR measurements. Similarly, incorporation of dynamic hemodynamic indices—such as blood pressure variability, arterial stiffness, and vascular load parameters—could better capture the multidimensional risk profile of INOCA.</p><p>From a clinical standpoint, these findings do not support the use of resting heart rate as a standalone risk stratification tool in INOCA patients. Rather, they highlight the need for integrative, multidimensional models that combine electrocardiographic, autonomic, and hemodynamic parameters.</p><p>In conclusion, while this study contributes valuable insights into ECG-based risk assessment in INOCA, future resea","PeriodicalId":8074,"journal":{"name":"Annals of Noninvasive Electrocardiology","volume":"31 3","pages":""},"PeriodicalIF":1.1,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13107112/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147760449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}