Publications by authors named "Mohyee Ayouty"
J Am Heart Assoc
July 2021
Article Synopsis
- The study investigates cardiogenic shock (CS) by using machine learning to identify distinct patient phenotypes, highlighting variations in clinical profiles and in-hospital mortality rates.*
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- Researchers analyzed data from 1959 CS patients across three international cohorts and identified three clusters: "non-congested," "cardiorenal," and "cardiometabolic," with the latter showing the highest mortality risk.*
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- The findings suggest that understanding these phenotypes could enhance patient-specific treatment strategies and improve clinical trial enrollment for more effective management of CS.*
Circ Heart Fail
September 2020
Article Synopsis
- The study evaluates the Society for Cardiovascular Angiography and Interventions (SCAI) stages to determine their effectiveness in predicting in-hospital mortality for patients with cardiogenic shock (CS).
- Out of 1414 patients, those with myocardial infarction had a significantly higher mortality rate (41%) compared to those with heart failure (26%).
- The research indicates that increasing SCAI stages correspond with higher mortality risks, and elevated biventricular filling pressures indicate severe hemodynamic congestion, suggesting better management strategies may be needed for high-risk CS patients.
