Prognostic impact of atrial function in cardiac sarcoidosis using two-dimensional speckle-tracking echocardiography
Nishihara, T.; Takaya, Y.; Nakayama, R.; Yoshida, Y.; Toh, N.; Nakamura, K.; Yuasa, S.
Show abstract
AimsAlthough ventricular dysfunction is associated with adverse outcomes in cardiac sarcoidosis (CS), the potential role of atrial function is unknown. The aim of this study was to assess the effect of atrial function on clinical outcomes in patients with CS. MethodsWe retrospectively enrolled 96 patients with CS. Left atrial (LA) and right atrial (RA) function was calculated as LA global longitudinal strain (LAGLS) and RA global longitudinal strain (RAGLS), respectively, using two-dimensional speckle-tracking echocardiography. Major adverse cardiac event (MACE) was a composite of cardiac death, fatal ventricular arrhythmia events, and hospitalization for heart failure. ResultsDuring a median follow-up of 6.0 years, 37 patients had MACE. LAGLS and RAGLS were lower in patients with MACE than in those without MACE. Kaplan-Meier curves showed that patients with atrial dysfunction with LAGLS of [≤] 19.6% or RAGLS of [≤] 22.3% had a higher rate of MACE than those without atrial dysfunction (log-rank test, p = 0.01 for both comparisons). The presence of LAGLS of [≤] 19.6% or RAGLS of [≤] 22.3% was significantly associated with MACE in a model that included age, sex, and New York Heart Association class (hazard ratio: 2.19, 95% confidence interval: 1.06-4.55, p = 0.04; hazard ratio: 2.27, 95% confidence interval: 1.07-4.85, p = 0.03, respectively). ConclusionsAtrial dysfunction represented by LAGLS and RAGLS is associated with adverse outcomes in patients with CS. Our findings suggest a potential role of atrial function for predicting the prognosis in CS.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Relationship of mild to moderate impairment of left ventricular ejection fraction with fatal ventricular arrhythmic events in cardiac sarcoidosis 97%
- Right Heart Remodeling After Pulmonary Valve Replacement in Patients with Pulmonary Atresia or Critical Stenosis with Intact Ventricular Septum 95%
- Surgical strategy for atrial functional mitral regurgitation with atrial fibrillation 94%
Similar papers in this journal
- Prognostic value of compact myocardial thinning in patients with left ventricular non-compaction 97%
- Investigating Electrocardiographic Abnormalities in Patients with Coronary Microvascular Dysfunction 95%
- Atrial functional substrates for the prediction of atrial fibrillation recurrence after pulmonary vein isolation 94%
Similar papers in this journal
- Autologous cardiac micrografts as support therapy to coronary artery bypass surgery 95%
- Electrocardiographic Abnormalities and Troponin Elevation in COVID-19 95%
- Fragmented QRS is independently predictive of long-term adverse clinical outcomes in Asian patients hospitalized for heart failure: a retrospective cohort study 95%
Similar papers in this journal
- Competing Risks in Patients with Primary Prevention Implantable Cardioverters Defibrillators: Global Electrical Heterogeneity and Clinical Outcomes (GEHCO) Study 94%
- Associations between biomarkers and p-wave indices in relation to atrial fibrillation development in heart failure patients 94%
- High Initial Heart Rate Score is an Independent Predictor of New Atrial High-Rate Episodes in Pacemaker Patients with Sinus Node Dysfunction 93%
Similar papers in this journal
- Early left ventricular systolic function is a more sensitive predictor of adverse events after heart transplant 96%
- Family screening for hypertrophic cardiomyopathy: initial cardiologic assessment, and long-term follow-up of genotype-positive phenotype-negative individuals 94%
- Association of Heart Failure Subtypes and Atrial fibrillation: Data from the Atherosclerosis Risk in Communities (ARIC) Study 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.