98%
921
2 minutes
20
Background: Left bundle branch block (LBBB) can be a marker of cardiovascular risk. This study investigates how electrocardiogram (ECG) measurements can be utilized in risk stratification of LBBB patients.
Methods: Using registry data from the Copenhagen General Practitioners Laboratory, first-time LBBB ECGs were identified from 2001 to 2015. Different ECG parameters were extracted including P-wave duration, PR interval, QRS duration, QRS area, QTc, JTc intervals and heart rate. Data were stratified according to the median values of these parameters (below vs above). The outcome was out-of-hospital cardiac arrest (OHCA), and the crude 5-year risk of OHCA was calculated for each subgroup. Multivariable Cox proportional hazards regression was employed to assess associations of ECG parameters with OHCA.
Results: We identified 4644 patients with incident LBBB contributing to a combined 35,113 person-years follow-up (median age 75 [25th - 75th percentiles 66-83] years; male sex, 62 %). Over the study period, all-cause mortality was 50 % and 4 % reached the primary outcome. The crude 5-year risk of OHCA revealed significant associations for QRS duration >150 ms (p = 0.01) and JTc duration >317 ms (p = 0.03). Multivariable analysis showed a higher hazard ratio (HR) for OHCA associated with QRS duration >150 ms (HR 1.41 [95 % CI 1.06-1.88]), QTc duration >464 ms (HR 1.43 [95 % CI 1.08-1.90]), JTc duration >317 ms (HR 1.50 [95 % CI 1.13-2.00]) and heart rate > 72/min (HR 1.48 [95 % CI 1.12-1.97]).
Conclusion: This study provides insights into associations between specific ECG parameters and the risk of OHCA in patients with LBBB. This holds the potential for risk stratification and targeted intervention in this population, and individuals with LBBB and these specific ECG abnormalities might benefit from earlier referral to investigation by specialists.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jelectrocard.2025.154049 | DOI Listing |
AJR Am J Roentgenol
September 2025
Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Patients with inflammation-associated coronary artery disease (CAD) may exhibit rapid progression and require regular coronary imaging. To evaluate the diagnostic performance of spectral photon-counting detector (PCD) coronary CTA with reduced radiation and contrast media doses for detecting coronary stenosis and in-stent restenosis in patients with inflammation-associated CAD. This prospective study enrolled patients with inflammation-associated CAD from January 2023 to March 2024.
View Article and Find Full Text PDFCell Biol Int
September 2025
Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, India.
Diabetic cardiomyopathy (DCM) is a progressive heart disorder associated with diabetes mellitus, leading to structural and functional cardiac abnormalities. The mechanisms responsible include renin-angiotensin-aldosterone (RAAS) activation, inflammation, apoptosis, and metabolic disturbances. Despite well-established epidemiological links, treatments for DCM are elusive.
View Article and Find Full Text PDFOpen Heart
September 2025
Department of Cardiology, Angiology and Internal Intensive Care Medicine, RWTH Aachen University, Aachen, Germany.
Background: Acute myocarditis is a potentially life-threatening cardiac condition and immediate assessment of this disease is imminent. While laboratory tests, electrocardiography or transthoracic echocardiography can provide indirect signs for the presence of acute myocarditis, cardiac magnetic resonance (CMR) imaging enables direct visualisation of myocardial inflammation and confirms the diagnosis.Since there is limited accessibility to CMR, the goal of this study was to evaluate the sensitivity and specificity of an elevation of established biomarkers for the diagnosis of myocarditis and to define a specific rule-out threshold for deferring CMR.
View Article and Find Full Text PDFFront Artif Intell
August 2025
School of Electronics Engineering (SENSE), Vellore Institute of Technology, Chennai, India.
Introduction: In recent years, Deep Learning (DL) architectures such as Convolutional Neural Network (CNN) and its variants have been shown to be effective in the diagnosis of cardiovascular disease from ElectroCardioGram (ECG) signals. In the case of ECG as a one-dimensional signal, 1-D CNNs are deployed, whereas in the case of a 2D-represented ECG signal, i.e.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
September 2025
Department of Medical Sciences, University of Turin, Turin, Italy.
Context: Cardiometabolic complications are increasingly recognized in congenital adrenal hyperplasia (CAH) due to 21β-hydroxylase deficiency, but adult data remain limited.
Objective: To evaluate cardiovascular and metabolic alterations in adult patients with classic CAH under glucocorticoid treatment, compared to matched controls.
Methods: A cross-sectional study was conducted on adults with classic CAH and sex- and BMI-matched controls.