Publications by authors named "L Rosenbloom"

Functional mitral regurgitation (FMR) is associated with increased mortality and has been considered a marker for advanced heart disease, yet the value of mitral valve repair (MVr) in this population remains unclear. This study aims to evaluate the impact of reducing FMR burden through surgical MVr on survival. Patients with severe FMR who underwent MVr with an undersized, complete, rigid, annuloplasty between 2004 and 2017 were assessed (n = 201).

View Article and Find Full Text PDF

Background: To address the infectious disease (ID) and substance use disorder (SUD) syndemic, we developed an integrated ID/SUD clinical team rooted in harm reduction at a county hospital in Miami, Florida. The Severe Injection-Related Infection (SIRI) team treats people who inject drugs (PWID) and provides medical care, SUD treatment, and patient navigation during hospitalization and after hospital discharge. We assessed the impact of the SIRI team on ID and SUD treatment and healthcare utilization outcomes.

View Article and Find Full Text PDF

Objective: Functional mitral regurgitation (FMR) is a cardiac pathology that causes the mitral valve to malfunction, leading to mitral regurgitation (MR). The optimal strategy for FMR remains unclear, and FMR outcomes are poor. All etiologies of FMR might not be the same, and subdividing patients with FMR caused by atrial (AFMR) versus ventricular FMR pathology might be important.

View Article and Find Full Text PDF
Article Synopsis
  • * Researchers suggest that bedside computed X-ray (CXR) images can provide additional predictive value for patient outcomes post-mechanical ventilation, using deep transfer learning to analyze features from a dataset of COVID-19 ICU patients.
  • * Their model, which includes CXR data, achieved a better predictive accuracy (0.743 AUC) compared to models based solely on traditional risk factors, indicating that high-quality images further enhance prediction performance.
View Article and Find Full Text PDF