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Published on: February 25, 2022
The 4A classification for patients with tricuspid regurgitation
Ariana González-Gómez1, Covadonga Fernández-Golfín1, Rocío Hinojar2
1Servicio de Cardiología, Hospital Universitario Ramón y Cajal, Madrid, Spain; Centro de Investigación Biomédica en Red de Enfermedades Cardiovasculares (CIBERCV), Spain.
A new 4A classification for tricuspid regurgitation (TR) effectively predicts heart failure hospitalizations and cardiovascular death in patients with significant TR. This tool aids in assessing prognosis for TR patients.
Area of Science:
- Cardiology
- Clinical Medicine
- Medical Diagnostics
Background:
- Significant tricuspid regurgitation (TR) is linked to increased patient morbidity and mortality.
- Clinical assessment of TR patients presents significant challenges.
- Existing evaluation methods may not fully capture prognostic indicators.
Purpose of the Study:
- To introduce and validate the 4A classification, a novel clinical tool for TR patients.
- To assess the prognostic performance of the 4A classification in predicting adverse cardiovascular events.
Main Methods:
- Inclusion of 135 patients with severe isolated TR and no prior heart failure (HF).
- Assessment of asthenia, ankle swelling, abdominal pain/distention, and anorexia (the 4 As).
- Classification from A0 (no symptoms) to A3 (3-4 symptoms); combined endpoint of HF hospitalization or cardiovascular death.
Main Results:
- During a median 26-month follow-up, 39% of patients experienced the combined endpoint (34% HF hospitalization, 5% cardiovascular death).
- Patients with 4A classes A2 or A3 at baseline showed a high incidence of events.
- The 4A classification change independently predicted HF and cardiovascular mortality (aHR per unit change: 1.95).
Conclusions:
- The 4A classification is a novel, clinically derived tool for patients with significant TR.
- This classification demonstrates prognostic value for predicting adverse events, including heart failure and cardiovascular mortality.
- The 4A classification provides a simple yet effective method for risk stratification in TR.
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