Journal of electrocardiology最新文献

{"title":"Does dispersion of atrial repolarization duration reflect atrial myopathy in left ventricular dysfunction?","authors":"Abdülmelik Birgün , Muhammet Cihat Çelik , Macit Kalçık","doi":"10.1016/j.jelectrocard.2025.154179","DOIUrl":"10.1016/j.jelectrocard.2025.154179","url":null,"abstract":"","PeriodicalId":15606,"journal":{"name":"Journal of electrocardiology","volume":"94 ","pages":"Article 154179"},"PeriodicalIF":1.2,"publicationDate":"2025-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145819334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prognostic value of electrocardiographic phenotypes based on conduction intervals and waveform amplitudes in acute anterior myocardial infarction","authors":"Masamichi Yano MD, PhD ,&nbsp;Yasuyuki Egami MD ,&nbsp;Noriyuki Kobayashi MD ,&nbsp;Ayako Sugino MD ,&nbsp;Masaru Abe MD ,&nbsp;Mizuki Ohsuga MD ,&nbsp;Hiroaki Nohara MD ,&nbsp;Shodai Kawanami MD ,&nbsp;Kohei Ukita MD ,&nbsp;Akito Kawamura MD ,&nbsp;Koji Yasumoto MD ,&nbsp;Naotaka Okamoto MD ,&nbsp;Yasuharu Matsunaga-Lee MD ,&nbsp;Masami Nishino MD, PhD","doi":"10.1016/j.jelectrocard.2025.154175","DOIUrl":"10.1016/j.jelectrocard.2025.154175","url":null,"abstract":"<div><h3>Background</h3><div>In patients with acute anterior myocardial infarction (MI), abnormalities in conduction intervals and waveform amplitudes observed on admission electrocardiograms may reflect the extent of myocardial damage. However, their prognostic significance following percutaneous coronary intervention (PCI) remains incompletely understood.</div></div><div><h3>Methods</h3><div>We enrolled consecutive patients undergoing emergent PCI for acute anterior MI and performed hierarchical cluster analysis based on P-wave duration (Pd), P-wave amplitude (PWA), PQ interval, QRS duration, and corrected QT interval (QTc). The primary outcome was a composite of heart failure hospitalization and all-cause mortality after PCI, which was compared across the identified phenogroups.</div></div><div><h3>Results</h3><div>A total of 426 patients were included. Optimal cut-off values for Pd, PWA (leads II, V2, and V6), PQ interval, QRS duration, and QTc in predicting the composite outcome were determined via receiver operating characteristic (ROC) curve analysis. Hierarchical clustering identified four distinct electrocardiographic phenotypes: Phenotype 1 (“Normal morphology”), Phenotype 2 (“Low PWA and wide QRS”), Phenotype 3 (“Prolonged Pd/PQ, low PWA, wide QRS, and prolonged QTc”), and Phenotype 4 (“Prolonged Pd/PQ”). Kaplan–Meier analysis revealed that Phenotype 3 was significantly associated with the highest risk of the composite outcome. This phenotype also exhibited the highest prevalence of atrial fibrillation, along with more frequent renal dysfunction and multivessel coronary artery disease, suggesting the coexistence of pre-existing atrial dysfunction and ventricular electrical–structural abnormalities possibly related to ischemia.</div></div><div><h3>Conclusions</h3><div>In patients with acute anterior MI undergoing PCI, electrocardiographic markers indicative of atrial dysfunction, particularly abnormal P-wave morphology, were significantly associated with adverse clinical outcomes.</div></div>","PeriodicalId":15606,"journal":{"name":"Journal of electrocardiology","volume":"94 ","pages":"Article 154175"},"PeriodicalIF":1.2,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145819368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of P-wave duration with all-cause and cardiovascular mortality in MASHAD cohort study","authors":"Hedieh Alimi ,&nbsp;Ali Tajik ,&nbsp;Mohsen Moohebati ,&nbsp;Alireza Heidari-Bakavoli ,&nbsp;Naghmeh Layegh Khavidaki ,&nbsp;Alireza Ghajari ,&nbsp;Zahra Ghazizadeh ,&nbsp;Habibollah Esmaily ,&nbsp;Gordon A. Ferns ,&nbsp;Sara Saffar Soflaei ,&nbsp;Majid Ghayour-Mobarhan","doi":"10.1016/j.jelectrocard.2025.154177","DOIUrl":"10.1016/j.jelectrocard.2025.154177","url":null,"abstract":"<div><h3>Background and objective</h3><div>P wave indices obtained from the electrocardiogram (ECG) serve as indicators of atrial conduction. P-wave duration (PWD) has been associated with various pathological conditions. The relationship between this factor and cardiovascular mortality remains insufficiently explored. To ascertain the association of PWD and cardiovascular and all-cause mortality in the MASHAD cohort study population.</div></div><div><h3>Method</h3><div>Participants were recruited from the Mashhad Stroke and Heart Atherosclerotic Disorder (MASHAD) cohort study. Participants' demographic information were recorded by checklist. Additionally, a comprehensive medical history was collected to identify cardiovascular risk factors, and history of pre-existing cardiovascular disease (CVD). A 12‑lead electrocardiogram (ECG) was obtained from the participants and they were subsequently categorized into two groups based on their PWD (≥ 120 msec and &lt; 120 msec). All participants were followed for a minimum of 10 years for mortality assessment. We employed Cox regression to evaluate the relationship between PWD and cardiovascular and all-cause mortality. In order to evaluate the incremental predictive value of P wave duration, we calculated the net reclassification improvement (NRI) and integrated discrimination improvement (IDI) at 10-year follow-up timepoint. Subsequently, we developed Kaplan-Meier plots, time-dependent ROC curves, and restricted cubic splines (RCS) to thoroughly evaluate the association between PWD and cardiovascular mortality. Subgroup analysis was conducted to evaluate the impact of PWD across various distinct groups.</div></div><div><h3>Results</h3><div>A total of 8885 participants were enrolled in the study. Prolonged PWD was associated with higher all-cause, cardiovascular mortality in unadjusted model. After controlling for covariates, PWD remained significantly associated with all-cause and cardiovascular mortality in continuous form of it. However, PWD in categorical form did not show significant association with cardiovascular mortality. The addition of P wave duration to the conventional model did not provide statistically significant improvement in risk reclassification or discrimination for either all-cause or cardiovascular mortality. The RCS models indicated that the PWD displayed a positive linear correlation with the risk of all-cause mortality across all models. The time-dependent ROC curve demonstrated favorable predictive performance for the adjusted models at both the 5-year and 10-year timepoints. The subgroup analysis revealed no interaction among the subgroups in our statistically significant multivariable models (all p for interaction &gt;0.05).</div></div><div><h3>Conclusion</h3><div>Continuous P-wave duration predicted all-cause and cardiovascular mortality, whereas the conventional 120 ms cut-off showed limited prognostic utility.</div></div>","PeriodicalId":15606,"journal":{"name":"Journal of electrocardiology","volume":"94 ","pages":"Article 154177"},"PeriodicalIF":1.2,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145819564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fetal R-peak detection using a swin transformer network with dynamic encoding and parallel decoding","authors":"S.R. Breesha ,&nbsp;S.S. Vinsley ,&nbsp;M. Nisha","doi":"10.1016/j.jelectrocard.2025.154176","DOIUrl":"10.1016/j.jelectrocard.2025.154176","url":null,"abstract":"<div><div>The FHR Detection employing dynamic encoding and parallel decoding swin transformer-based fetal R-peak detection network (DPSTFR-Net) was developed to address this issue. A cascaded Sparse Low-Rank and Kernel Recursive Least Squares (CSKL) filter is used to pre-process the input signals in order to eliminate high-frequency noise and baseline interference. DPSTFR-Net with adaptive position encoding is used to combine the position information of multiple receptor fields in order to perform the binary classification. Additionally, the parallel decoder's contextual information is used to reduce the impact of incorrectly categorized data points. Accuracy, precision, Mean Average Error (MAE), and other metrics are assessed using the PhysioNet/Computing in Cardiology Challenge database (PCDB) and the abdominal and direct fECG database (ADFECGDB). The proposed approach obtained 97.02 % accuracy, 98.25 % precision, 97.35 % recall, 97.28 % F1-score, 0.10 TNR, 0.55 FPR, and 0.56 MAE on the PCDB dataset. The approach obtained 97.52 % accuracy, 98.25 % precision, 97.05 % recall, 97.28 % F1-score, 0.09 TNR, 0.60 FPR, and 0.66 MAE for the ADFECGDB dataset. The outcomes of the experiment show that the proposed method is capable of effectively estimating FHR from abdominal ECG data. Commercial applications, such as long-term maternal and fetal monitoring systems, can use the proposed paradigm.</div></div>","PeriodicalId":15606,"journal":{"name":"Journal of electrocardiology","volume":"95 ","pages":"Article 154176"},"PeriodicalIF":1.2,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145870488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrocardiographic criteria and algorithms to identify the culprit artery in inferior wall infarction. Back to the basics","authors":"Anton P.M. Gorgels MD, PhD","doi":"10.1016/j.jelectrocard.2025.154154","DOIUrl":"10.1016/j.jelectrocard.2025.154154","url":null,"abstract":"","PeriodicalId":15606,"journal":{"name":"Journal of electrocardiology","volume":"94 ","pages":"Article 154154"},"PeriodicalIF":1.2,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145781155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exercise practice and short-QT interval on ECG","authors":"Giuseppe Mascia ,&nbsp;Josep Brugada ,&nbsp;Elena Arbelo ,&nbsp;Andrea Minghini ,&nbsp;Lorenzo Bianchi ,&nbsp;Luca Barca ,&nbsp;Nicola Pierucci ,&nbsp;Cinzia Monaco ,&nbsp;Paolo Di Donna ,&nbsp;Italo Porto","doi":"10.1016/j.jelectrocard.2025.154173","DOIUrl":"10.1016/j.jelectrocard.2025.154173","url":null,"abstract":"<div><div>A short-QT interval is a potential electrocardiographic finding, while short-QT syndrome (SQTS) is a rare, inherited channelopathy characterized by pathological shortening of the action potential duration leading to an increased risk of life-threatening arrhythmias. In contrast to the long QT syndrome (LQTS), data on the prevalence, diagnosis, risk stratification, treatment and prognosis of short-QT syndrome are scarce. Understanding the true risk of adverse events in exercise population or sporting activities by the patient with short-QT on 12‑leads electrocardiogram is complex: here, we summarize current knowledge and raise questions regarding the challenging relationship between the difficult SQTS diagnosis and exercise practice.</div></div>","PeriodicalId":15606,"journal":{"name":"Journal of electrocardiology","volume":"94 ","pages":"Article 154173"},"PeriodicalIF":1.2,"publicationDate":"2025-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145733855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Electrocardiographic criteria for silent myocardial infarction: Impact of different definitions on detection rates and prognostic significance in the atherosclerosis risk in communities (ARIC) study: A comparison with evolving bundle branch blocks","authors":"R. Brandon Stacey MD, MS ,&nbsp;Ronald J. Prineas MD, PhD ,&nbsp;Zhu-Ming Zhang MD, MPH ,&nbsp;Bruce M. Psaty MD, PhD ,&nbsp;Wayne Rosamond PhD ,&nbsp;Lynne Wagenknecht DrPH ,&nbsp;Elsayed Z. Soliman MD, MSc, MS","doi":"10.1016/j.jelectrocard.2025.154174","DOIUrl":"10.1016/j.jelectrocard.2025.154174","url":null,"abstract":"<div><h3>Introduction</h3><div>It is unclear how differences in the electrocardiographic (ECG) definition of myocardial infarction (MI) impact detection rates and prognostic significance of silent MI (SMI).</div></div><div><h3>Methods</h3><div>This analysis included 9188 participants (57.4 % women, 20 % black, age 62.6 ± 6.0 years) enrolled in the Atherosclerosis Risk in Communities study who had serial ECGs obtained between visit 1 (1987–1989) and visit 4 (1996–1998). Exclusions included known cardiovascular disease (CVD) prior to visit 1, ECG findings of MI or bundle branch block (BBB) at visit 1, or an adjudicated fatal and non-fatal MI events between visits 1 and 4. Using the Minnesota Code (MC) ECG Classification and in the absence of adjudicated MI, the following SMI definitions were derived: Standard MC MI [major Q-wave abnormality, or minor Q-wave abnormality plus major ST/T abnormality], only major Q-wave abnormality, standard significant serial Q-wave changes [Q1 to Q7], expanded MC serial Q-wave changes[Q1 to Q8], standard MC significant serial Q-wave changes or Standard MC significant serial ST/T changes, and evolving MC BBB. Cox proportional hazard models were used to examine the association of different definitions of SMI (compared to no new MI or evolving BBB) with fatal or non-fatal MI events ascertained after visit 4 until December 2016.</div></div><div><h3>Results</h3><div>The prevalence of SMI ranged from 0.6 % to 7.0 % depending on the ECG criteria defining SMI. Presence of SMI was predictive of fatal/non-fatal MI regardless of the definition but with varying levels of association. Standard MC expanded serial Q-wave changes had the strongest adjusted relationship [Hazard Ratio: 2.53 (95 % Confidence Interval (CI): 1.60–4.01)] while evolving BBB had the weakest adjusted association [HR: 1.39 (95 % CI: 0.80–2.40)].</div></div><div><h3>Conclusions</h3><div>The prevalence and prognostic significance of SMI are impacted by the ECG criteria defining MI. A uniform approach(s) for detection of SMI in population studies which builds on the available standard definitions that fit different research scenarios is needed.</div></div>","PeriodicalId":15606,"journal":{"name":"Journal of electrocardiology","volume":"94 ","pages":"Article 154174"},"PeriodicalIF":1.2,"publicationDate":"2025-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145733854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Atrial repolarization in patients with left ventricular dysfunction","authors":"Neha Pulath,&nbsp;Ramanathan Velayutham,&nbsp;Anish Bhargav,&nbsp;J. Barathkrishnan,&nbsp;Raja J. Selvaraj","doi":"10.1016/j.jelectrocard.2025.154160","DOIUrl":"10.1016/j.jelectrocard.2025.154160","url":null,"abstract":"<div><h3>Background</h3><div>Atrial depolarization is represented by the P wave on the electrocardiogram (ECG), while atrial repolarization (Ta wave) is usually obscured by the QRS complex. In patients with third-degree atrioventricular block, the Ta wave can be observed and studied. Although atrial repolarization has been described in healthy subjects and in those with paroxysmal atrial fibrillation, it has not been studied in left ventricular dysfunction.</div></div><div><h3>Methods</h3><div>Patients with pacemaker implanted for third-degree AV block were studied. Group 1 included patients with normal ejection fraction (LVEF ≥55 %), and group 2 included patients with reduced ejection fraction (LVEF ≤40 %). Pacemakers were programmed to VVI pacing at 40 bpm, and six standard 12‑lead ECGs were recorded. P waves not followed by QRS complex for 500 ms were identified. PTa segments were extracted, averaged, and analyzed for duration, amplitude, axis and dispersion.</div></div><div><h3>Results</h3><div>Of 31 enrolled patients, 25 were included in the final analysis (13 in group 1, 12 in group 2). The mean PTa duration was 482 ± 36 ms and was not different between the groups. P wave duration, Ta amplitude, and Ta axis also were not different. Ta axis was northwest in all patients, opposite to the direction of atrial depolarisation. PTa dispersion was significantly higher in group 2 (74 ± 21 ms) compared to group 1 (54 ± 14 ms, <em>p</em> = 0.008).</div></div><div><h3>Conclusion</h3><div>PTa wave amplitude, duration, and axis are not altered in left ventricular dysfunction. PTa dispersion is increased in these patients and may be a marker of elevated risk for atrial arrhythmias.</div></div>","PeriodicalId":15606,"journal":{"name":"Journal of electrocardiology","volume":"94 ","pages":"Article 154160"},"PeriodicalIF":1.2,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145682159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic accuracy of 18-lead versus 12-lead electrocardiography in acute coronary syndrome: A systematic review and meta-analysis","authors":"Almaz Rehman Koolikad,&nbsp;Syed Ahmad Khan,&nbsp;Muhammad Shahzaib,&nbsp;Bushra Arif,&nbsp;Shivam Singla,&nbsp;Bhavna Singla,&nbsp;Muhammad Subhan,&nbsp;Abida Perveen,&nbsp;Jahanzeb Malik","doi":"10.1016/j.jelectrocard.2025.154161","DOIUrl":"10.1016/j.jelectrocard.2025.154161","url":null,"abstract":"<div><h3>Objective</h3><div>To evaluate the diagnostic accuracy and clinical impact of 18‑lead electrocardiography compared with conventional 12‑lead ECG in patients with suspected acute coronary syndromes (ACS).</div></div><div><h3>Methods</h3><div>A systematic review and meta-analysis were conducted by searching PubMed, Embase, Scopus, and the Cochrane Library from inception to August 2025. Eligible studies compared 18‑lead with 12‑lead ECG using angiography, biomarkers, or imaging as reference standards. Data were extracted to construct 2 × 2 tables where available, and pooled sensitivity, specificity, and risk ratios were calculated using random-effects models. Risk of bias was assessed with QUADAS-2, and certainty of evidence was graded with GRADE.</div></div><div><h3>Results</h3><div>Seven studies met the inclusion criteria, of which four provided extractable diagnostic accuracy data (n ≈ 535). Across studies, 18‑lead ECG significantly improved sensitivity for posterior myocardial infarction (≈80–85 % vs 55–65 % with 12‑lead) and right ventricular infarction (≈78 % vs 58 %) while preserving specificity (≈90 %). Pooled analysis demonstrated a 34 % relative improvement in diagnostic yield (RR 1.34, 95 % CI 1.18–1.55; <em>p</em> &lt; 0.01). Approximately 10–15 % of patients initially classified as NSTEMI were reclassified as STEMI-equivalents using 18‑lead recordings. Evidence of earlier catheterization laboratory activation was noted in emergency department cohorts.</div></div><div><h3>Conclusion</h3><div>Eighteen‑lead ECG enhances detection of posterior and right ventricular infarctions without loss of specificity and supports earlier intervention. Broader clinical adoption and outcome-focused trials are warranted.</div></div>","PeriodicalId":15606,"journal":{"name":"Journal of electrocardiology","volume":"94 ","pages":"Article 154161"},"PeriodicalIF":1.2,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145668673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of non-alcoholic fatty liver disease with arrhythmic disorders and electrocardiogram traits: A Mendelian randomization study","authors":"Panji Wang ,&nbsp;Ruixia Yuan ,&nbsp;Yuan Meng ,&nbsp;Hengdao Liu ,&nbsp;Shenzhen Gong ,&nbsp;Zhaowei Sun ,&nbsp;Hailong Tao","doi":"10.1016/j.jelectrocard.2025.154158","DOIUrl":"10.1016/j.jelectrocard.2025.154158","url":null,"abstract":"<div><h3>Introduction</h3><div>Observational studies indicate a link between arrhythmias, electrocardiogram (ECG) characteristics, and non-alcoholic fatty liver disease (NAFLD). However, it is uncertain whether NAFLD acts merely as a risk marker or directly contributes to the development and progression of these arrhythmic disorders. Mendelian randomization (MR) was employed to investigate the causal relationship of NAFLD on arrhythmias and ECG traits.</div></div><div><h3>Methods</h3><div>A two-sample Mendelian randomization (MR) analysis was performed to examine the causal relationship of genetically predicted NAFLD (imaging and biopsy confirmed NAFLD) on arrhythmias [i.e., atrial fibrillation (AF), left bundle branch block (LBBB), right bundle branch block (RBBB), and atrioventricular block (AVB)] and ECG traits [i.e., P wave duration (PWD), PR interval, QT interval, and QRS duration]. We utilized the inverse variance weighted method as the principal analytical approach, supplemented by a range of sensitivity analyses.</div></div><div><h3>Results</h3><div>Inverse-variance weighted method showed a statistically significant association between genetically predicted NAFLD and LBBB (OR: 1.261, 95% CI: 1.066-1.491, <em>p</em> = 0.0068). However, there was insufficient evidence to support a significant association between genetically predicted NAFLD and other arrhythmias or electrocardiographic characteristics. Sensitivity analyses revealed low heterogeneity and the absence of horizontal pleiotropy, suggesting that the findings are robust.</div></div><div><h3>Conclusion</h3><div>The study indicates a causal relationship between genetically predicted NAFLD and LBBB, suggesting that NAFLD may influence cardiac electrical activity.</div></div>","PeriodicalId":15606,"journal":{"name":"Journal of electrocardiology","volume":"94 ","pages":"Article 154158"},"PeriodicalIF":1.2,"publicationDate":"2025-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145661459","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}