Publications by authors named "V Crudo"

Purpose To investigate the determinants and effect of right ventricular (RV) dysfunction in aortic regurgitation (AR) using cardiac MRI. Materials and Methods This study included patients with moderate or severe AR who were enrolled in the DEBAKEY-CMR registry between January 2009 and June 2020. Patients with previous valve intervention, cardiomyopathy deemed unrelated to AR, severe aortic stenosis, and other confounders were excluded.

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Background: Cardiac arrest is a common and devastating emergency of both the heart and brain. More than 380,000 patients suffer out-of-hospital cardiac arrest annually in the USA. Induced cooling of comatose patients markedly improved neurological and functional outcomes in pivotal randomized clinical trials, but the optimal duration of therapeutic hypothermia has not yet been established.

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Background: Cardiac arrest is a common and devastating emergency of both the heart and brain. More than 380,000 patients suffer out-of-hospital cardiac arrest annually in the United States. Induced cooling of comatose patients markedly improved neurological and functional outcomes in pivotal randomized clinical trials, but the optimal duration of therapeutic hypothermia has not yet been established.

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Article Synopsis
  • Mitral valve prolapse (MVP) is a common heart condition that can lead to serious issues like sudden cardiac death, and complex ventricular ectopy (ComVE) is a significant risk marker associated with it.
  • Researchers used electrocardiogram (ECG) data to train machine learning models (CNNs) to identify MVP patients at risk for ComVE, death, and myocardial fibrosis based on cardiac imaging.
  • The CNNs demonstrated good accuracy in detecting ComVE (AUC of 0.80) and all-cause mortality (AUC of 0.82), suggesting that ECG analysis could help identify MVP patients who need closer monitoring and potential imaging tests.
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Developing partnerships among patients and healthcare providers improves quality of virtual care. Successful patient engagement is influenced by digital literacy. Although adults (35-64) with chronic health challenges may be motivated to use virtual services, they may not have the required skills or orientation to effectively participate on their virtual team.

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