Right bundle branch block: Prevalence, incidence, and cardiovascular morbidity and mortality in the general population

Alventosa-Zaidin, Marina; Font, L. Guix; Camps, Mència Benítez; Saumell, Carme Roca; Pera, Guillem; Alzamora, María Teresa; Raurell, Rosa Forés; Nadal, Oriol Rebagliato; Dalfó-Baqué, Antoni; Terradellas, Josep Brugada

doi:10.1080/13814788.2019.1639667

Cited by 30 publications

(22 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Figure 5 C shows the model's identification of deep S waves in lead V1 for LBBB. Typically, RBBB is detected with an RSR′ QRS complex in lead V1 as shown in Figure 5 E. Observations from Figures 5 C and 5E are compatible with the corresponding diagnostic criteria for LBBB and RBBB ( Alventosa-Zaidin et al., 2019 ; Goldberger et al., 2017 ). More interpretation results can be found in Figure S3 .…”

Section: Resultssupporting

confidence: 69%

Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram

et al. 2021

View full text Add to dashboard Cite

Electrocardiogram (ECG) is a widely used reliable, non-invasive approach for cardiovascular disease diagnosis. With the rapid growth of ECG examinations and the insufficiency of cardiologists, accurate and automatic diagnosis of ECG signals has become a hot research topic. In this paper, we developed a deep neural network for automatic classification of cardiac arrhythmias from 12-lead ECG recordings. Experiments on a public 12-lead ECG dataset showed the effectiveness of our method. The proposed model achieved an average F1 score of 0.813. The deep model showed superior performance than 4 machine learning methods learned from extracted expert features. Besides, the deep models trained on single-lead ECGs produce lower performance than using all 12 leads simultaneously. The best-performing leads are lead I, aVR, and V5 among 12 leads. Finally, we employed the SHapley Additive exPlanations method to interpret the model's behavior at both the patient level and population level.

show abstract

Section: Resultssupporting

confidence: 69%

Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram

et al. 2021

View full text Add to dashboard Cite

show abstract

“… 25 Around 5% of the patients in our study had right and left bundle branch blocks, which is like a previous study. 26 The prevalence of the left bundle branch block was higher in the previous study, and this difference is likely due to the lower percentage of the heart failure patients in our study. 27 …”

Section: Discussioncontrasting

confidence: 50%

Thyroid Dysfunction in Patients Admitted in Cardiac Care Unit: Prevalence, Characteristic and Hospitalization Outcomes

Alqahtani

Alakkas

Althobaiti

et al. 2021

IJGM

View full text Add to dashboard Cite

Introduction Cardiovascular disease is one of the main causes of hospital admission and mortality, and thyroid dysfunction increases the risk of developing acute or exacerbation of chronic cardiac conditions. The aim of this study is to investigate the prevalence of thyroid hormone abnormality among patients in the cardiac care unit (CCU) patients and its relation to admission diagnosis, clinical, biochemical data, and hospital-related outcomes. Methods We conducted a retrospective cohort observational that included adult patients who were admitted to the CCU. We excluded those with known thyroid dysfunction and those who received amiodarone or IV contrast. Results A total of 374 patients with a mean age of 62.7+14.7 years old were included. Ischemic changes were observed in 70.6% of the patients based on the admission diagnosis. In comparison to the non-ischemic group, the ischemic group was more likely to be male (P=0.010), to be active/former smokers (P=0.011), to have diabetes (P=0.009), to have diastolic dysfunction (P=<0.001), to have undergone thrombolysis (P=<0.001), and to have been referred to a tertiary center (P=<0.001). Euthyroidism was observed in 57.8% of the patients based on the thyroid function test at admission. Compared to patients with thyroid dysfunction, those with Euthyroidism were more likely to be active/former smokers (P=0.002), to have lower heart rates (P=0.018), to not have chronic kidney disease (P=0.016), to not have heart failure (P=0.006), to have lower thyroid-stimulating hormone (TSH) levels (P=<0.001), and to have lower tricuspid regurgitation (P=0.042). Conclusion Thyroid dysfunction is common among patients admitted to the CCU. Non-significant positive correlations between TSH and hospitalization length, tertiary center referral, 30-day readmission, and in-hospital mortality when adjusting for potential confounders.

show abstract

“…4 Incomplete RBBB was not reported in our registry; a recent study among general population in Spain showed no effect of incomplete RBBB on morbidity and mortality. 18 Xiong et al evaluated 19 cohort studies (201 437 participants) in a meta-analysis and found that RBBB was associated with an increased risk of mortality in a general population as well as patients with heart disease. 1 A significantly higher risk of in-hospital mortality (risk ratio [RR]: 2.31), 30-day mortality (RR: 2.85), and long-term mortality (RR: 1.96) was associated with RBBB.…”

Section: Discussionmentioning

confidence: 99%

“…4 Incomplete RBBB was not reported in our registry; a recent study among general population in Spain showed no effect of incomplete RBBB on morbidity and mortality. 18…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Clinical Presentations and Outcomes in Patients Presenting With Acute Cardiac Events and Right Bundle Branch Block

et al. 2019

View full text Add to dashboard Cite

We conducted a retrospective analysis of 50 974 patients admitted with acute cardiac events with and without right bundle branch block (RBBB) over 23 years. Compared to non-RBBB, patients with RBBB (n = 386; 0.8%) were 3 years older ( P = .001), more likely to present with breathlessness rather than chest pain ( P = .001), and had more diabetes mellitus ( P = .001). Patients with RBBB had significantly higher cardiac enzymes ( P = .001); however, there were no significant differences in the presentation with ST-segment elevation myocardial infarction (24.6% vs 22.2%), non-ST-segment elevation myocardial infarction (23.7% vs 22.4%), and unstable angina (51.7% vs 55.4%). Patients with RBBB were more likely to have congestive heart failure (CHF; 9.6% vs 3.2%, P = .001), cardiogenic shock (10.6% vs 1.7%, P = .001), and ventricular tachyarrhythmias (7.3% vs 2.2%, P = .001). Left ventricular ejection fraction and hospital length of stay were comparable between the groups. All-cause mortality was 5 times greater in patients with RBBB (21% vs 4.2%, P = .001). Right bundle branch block was independent predictor of mortality (adjusted odd ratio 5.14; 95% confidence interval: 3.90-6.70). Subanalysis comparing normal QRS, RBBB, and left BBB showed that RBBB was associated with the worst outcomes except for CHF. Although RBBB presents in only about 1% of patients with cardiac disease, it was found to be an independent predictor of hospital mortality.

show abstract

Right bundle branch block: Prevalence, incidence, and cardiovascular morbidity and mortality in the general population

Cited by 30 publications

References 22 publications

Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram

Interpretable deep learning for automatic diagnosis of 12-lead electrocardiogram

Thyroid Dysfunction in Patients Admitted in Cardiac Care Unit: Prevalence, Characteristic and Hospitalization Outcomes

Clinical Presentations and Outcomes in Patients Presenting With Acute Cardiac Events and Right Bundle Branch Block

Contact Info

Product

Resources

About