Publications by authors named "G R Kane"
Purpose: Optimal approaches for tobacco treatment counseling among individuals who currently smoke and are undergoing shared decision-making (SDM) and lung cancer screening (LCS) are unknown. The objective of this cross-sectional study was to determine the rate of reported interest in tobacco treatment counseling and pharmacotherapy among individuals who currently smoke and are receiving integrated nurse navigation for LCS and tobacco treatment in a centralized LCS Program.
Methods: We identified individuals undergoing SDM through our centralized LCS Program between March 2021 and March 2022.
Surveillance imaging at 45 to 90 days after transcatheter left atrial appendage occlusion device implantation with transesophageal echocardiography (TEE) or cardiac computed tomography (CT) is recommended to assess device position and the presence of device-related complications such as device-related thrombus (DRT) or peridevice leak. Detection of DRT is associated with a significantly increased risk of a stroke or systemic embolization event within 6 months of detection. Nonetheless, there is significant variability in detection of DRT as a result of timing, frequency, and imaging modality used for surveillance.
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- The study aimed to assess the prognostic value of right ventricle (RV) function and its coupling to pulmonary artery pressure in patients with tricuspid regurgitation (TR) to improve risk evaluation beyond an established clinical score.
- Researchers analyzed data from 417 patients with moderate TR and developed a new risk score by integrating RV function measures, finding significant correlations between these parameters and patient mortality during a median follow-up of nearly 4 years.
- Results showed that many patients initially categorized as low- or intermediate-risk were reclassified to higher risk when RV function metrics were included, indicating that incorporating these echocardiographic measures enhances mortality predictions in TR patients.
Background: The determination of left ventricular diastolic function (LVDF) in patients with significant (≥moderate) mitral regurgitation (MR) poses a complex challenge. We recently validated an artificial intelligence-enabled electrocardiogram (AI-ECG) algorithm to estimate LVDF.
Objectives: This study sought to evaluate the risk of all-cause mortality across AI-ECG LVDF-derived myocardial disease (MD) grades in MR.
Background: Aortic regurgitation (AR) is a prevalent valve disease with a long latent period to symptoms. Recent data has suggested the role of novel markers of myocardial overload in assessing onset of decompensation.
Method: We sought to evaluate the role of unsupervised cluster analyses in identifying different clinical clusters, including clinical status, and a large number of echocardiographic variables including left ventricular (LV) volumes, and their association with mortality.