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2022 ◽  
Vol 38 ◽  
pp. 100946
Shinwan Kany ◽  
Johannes Brachmann ◽  
Thorsten Lewalter ◽  
Ibrahim Akin ◽  
Horst Sievert ◽  

2022 ◽  
Vol 38 ◽  
pp. 100928
Laura Rottner ◽  
Andreas Metzner ◽  
Andreas Rillig

PLoS ONE ◽  
2022 ◽  
Vol 17 (1) ◽  
pp. e0259638
Jae-Man Lee ◽  
Hyun-Bin Park ◽  
Jin-Eun Song ◽  
In-Cheol Kim ◽  
Ji-Hun Song ◽  

Background Sudden cardiac death (SCD) and stroke-related events accompanied by atrial fibrillation (AF) can affect morbidity and mortality in hypertrophic cardiomyopathy (HCM). This study sought to evaluate a scoring system predicting cardio-cerebral events in HCM patients using cardiopulmonary exercise testing (CPET). Methods We investigated the role of a previous prediction model based on CPET, the HYPertrophic Exercise-derived Risk score for Heart Failure-related events (HyperHF), which is derived from peak circulatory power ventilatory efficiency and left atrial diameter (LAD), for predicting a composite of SCD-related (SCD, serious ventricular arrhythmia, death from cardiac cause, heart failure admission) and stroke-related (new-onset AF, acute stroke) events. The Novel HyperHF risk model using left atrial volume index (LAVI) instead of LAD was proposed and compared with the previous HCM Risk-SCD model. Results A total of 295 consecutive HCM patients (age 59.9±13.2, 71.2% male) who underwent CPET was included in the present study. During a median follow-up of 742 days (interquartile range 384–1047 days), 29 patients (9.8%) experienced an event (SCD-related event: 14 patients (4.7%); stroke-related event: 17 patients (5.8%)). The previous model for SCD risk score showed fair prediction ability (AUC of HCM Risk-SCD 0.670, p = 0.002; AUC of HyperHF 0.691, p = 0.001). However, the prediction power of Novel HyperHF showed the highest value among the models (AUC of Novel HyperHF 0.717, p<0.001). Conclusions Both conventional HCM Risk-SCD score and CPET-derived HyperHF score were useful for prediction of overall risk of SCD-related and stroke-related events in HCM. Novel HyperHF score using LAVI could be utilized for a better prediction power.

2022 ◽  
Harsh Goel ◽  
Kashyap Shah ◽  
Janish Kothari ◽  
Timothy Daly ◽  
Pooja Saraiya ◽  

Abstract Background: COVID-19 has caused an unprecedented global pandemic, with cardiovascular risk factors predicting outcomes. We investigated whether baseline trans-thoracic echocardiography could refine risk beyond clinical risk factors. Methods: Symptomatic COVID-19 positive (RT-PCR) adults across St Luke’s University Health Network between March 1st-October 31st 2021, with trans-thoracic echocardiography (TTE) within 15-180 days preceding COVID-19 positivity were selected. Demographic/clinical/echocardiographic variables were extracted from patients’ EHR and compared between groups stratified by disease severity. Logistic regression was used to identify independent predictors of hospitalization. Results: 192 patients were included. 87 (45.3%) required hospitalization, 34 (17.7%) suffered severe disease (need for ICU care/mechanical ventilation/in-hospital death). Age, co-morbidities, and several echocardiographic abnormalities were more prevalent in moderate-severe versus mild disease. On multivariate analysis, age (OR 1.039, 95% CI 1.011-1.067), coronary artery disease (OR 4.184, 95% CI 1.451-12.063), COPD (OR 6.886, 95% CI 1.396-33.959) and left atrial (LA) diameter ≥4.0cm (OR 2.379, 95% CI 1.031-5.493) predicted need for hospitalization. Model showed excellent discrimination (ROC AUC 0.809, 95% CI 0.746-0.873). Conclusion: Baseline LA enlargement independently predicts risk of hospitalization in COVID-19. When available, baseline LA enlargement could identify patients for 1) closer outpatient follow-up, and 2) counseling vaccine-hesitancy.

Mohammad Mahdi Peighambari ◽  
Firoozeh Moradkarami ◽  
Anita Sadeghpour ◽  
Bahador Baharestani ◽  
Alireza Alizadeh-Ghavidel ◽  

Background: Several surgical procedures such as excision or exclusion are recommended for the closure of the left atrial appendage (LAA). This study was conducted with the aim to evaluate the success rate of different surgical techniques for LAA closure, their respective complications, and the rate of post-surgical cerebrovascular accident (CVA). Methods: This retrospective study included 150 consecutive patients who underwent LAA closure most commonly after mitral valve surgery within 3 to 6 months after surgery. An expert echocardiographic fellow collected the data on patients’ surgical LAA closure methods and history of CVA, types of prosthetic valves, mortality, and bleeding. Results: The failure rate for complete LAA closure was 36.7% (55 patients) in our study. The greatest success rate of complete LAA closure was seen in purse-string method (75.5%), followed by resection method (71.4%), while the lowest success rate (≈ 33.3%) was observed in ligation method. A significant relationship was observed between clots on the surface of metallic valve and postoperative CVA (P = 0.001; likelihood ratio: 32). significant relationship between partial LAA closure and the incidence of post-surgical CVA (P > 0.050). Conclusion: We observed the highest success rate of complete LAA closure in purse-string method followed by resection method. Interestingly, our results showed that despite the higher rate of residual LAA clot in cases of partial LAA closure, the occurrence of post-surgical CVA was mostly related to the presence of clots on the surface of metallic mitral prostheses rather than the presence of partial LAA closure.

2022 ◽  
Vol 12 (1) ◽  
Björn Müller-Edenborn ◽  
Jan Minners ◽  
Cornelius Keyl ◽  
Martin Eichenlaub ◽  
Nikolaus Jander ◽  

AbstractThromboembolism and stroke are dreaded complications in atrial fibrillation (AF). Established risk stratification models identify susceptible patients, but their discriminative properties are poor. Atrial cardiomyopathy (ACM) is associated to thromboembolism and stroke in smaller studies, but the modalities used for ACM-diagnosis (MRI and endocardial mapping) are unsuitable for widespread population screening. We aimed to investigate an ECG-based diagnosis of ACM using amplified p-wave analysis (APWA) for stratification of thromboembolic risk and cardiovascular outcome. In this case–control study, ACM-staging was performed using APWA on digital 12-lead sinus rhythm-ECGs in patients with LAA-thrombus and a propensity-score-matched control-cohort. Left atrial contractile function and thrombi were evaluated by transesophageal echocardiography (TEE). Outcome for MACCE including death was assessed using official registries and structured phone interviews. Left-atrial appendage [LAA]-thrombi and appropriate sinus rhythm-ECGs for ACM-staging were found in 109 of 4086 patients that were matched 1:1 to control patients without thrombus (218 patients in total). Both cohorts were comparable regarding cardiovascular risk factors, anticoagulants and CHA2DS2-VASC-score. ACM-stages 1 to 3 (equivalent to no, moderate and extensive ACM) were found in 63 (57.8%), 36 (33.0%) and 10 (9.2%) of patients without and 3 (2.8%), 23 (21.1%) and 83 (76.1%) of patients with LAA-thrombi. Atrial contractile function decreased from ACM-stages 1 to 3 (LAA-flow velocities 38 ± 16 cm/s, 31 ± 15 cm/s and 21 ± 12 cm/s; p < 0.0001), while the likelihood for LAA-thrombus increased (2.8%, 21.1% and 76.1%, p < 0.001). Multivariable analysis confirmed an independent odds ratio for LAA-thrombus of 24.6 (p < 0.001) per ACM-stage. Two-year survival free of stroke/TIA, hospitalization for heart failure, myocardial infarction or all-cause death was strongly reduced in ACM-stage 3 (53.8%) compared to no or moderate ACM (82.8% and 84.7%, respectively; p < 0.0001). Electrocardiographic diagnosis of ACM identifies patients with atrial contractile dysfunction and atrial thrombi at risk for adverse cardiovascular outcomes and death.

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