Publications by authors named "S Buddhe"

Article Synopsis
  • Researchers investigated how machine learning could improve predicting cardiomyopathy risk in childhood cancer survivors using echocardiograms from multiple centers.
  • They designed deep convolutional neural networks (DCNNs) to analyze different sets of echocardiographic data and gauge model performance using standard metrics like F1-score and AUPRC.
  • Results showed that the DCNN effectively distinguished between survivors who developed cardiomyopathy and those who didn't, suggesting a potential tool for early prediction in at-risk patients.
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  • Current methods to predict sudden cardiac death (SCD) in children with hypertrophic cardiomyopathy (HCM) are insufficient, although late gadolinium enhancement (LGE) in CMR imaging has shown a link to SCD in adults.
  • This study aimed to assess the significance of LGE in HCM patients under 21 years, utilizing data from various international centers between 2015 and 2022.
  • Results indicated that 32.9% of the 700 patients had LGE, and those with LGE were more likely to experience SCD or related events, emphasizing the potential role of LGE in clinical assessments for younger patients with HCM.
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Article Synopsis
  • The study investigated the clinical features and long-term outcomes of myocarditis linked to COVID-19 vaccination, focusing on 333 affected patients under 30 compared to 100 with MIS-C.
  • Findings indicated that C-VAM patients were mostly young white males, experienced milder symptoms initially, but had higher rates of myocardial injury as shown by cardiac imaging.
  • Despite a generally benign course and no reported cardiac deaths during follow-up, 60% of patients still showed evidence of myocardial injury after approximately six months.
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Background: In infants with complete atrioventricular canal (CAVC) defects, post-operative left atrioventricular valve regurgitation (LAVVR) is a known major cause of morbidity and mortality and a common indication for re-operation. However, there is scarce data to identify risk factors for poor outcomes. Our study aims to find echocardiographic characteristics that predict post-operative LAVVR at discharge and 1-year follow-up.

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Background: Cardiovascular disease is the leading cause of death among patients with Duchenne muscular dystrophy (DMD). Identifying patients at risk of early death could allow for increased monitoring and more intensive therapy. Measures that associate with death could serve as surrogate outcomes in clinical trials.

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