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Updated: Feb 13, 2026

Optimization of the Cuff Technique for Murine Heart Transplantation
Published on: June 26, 2020
Optimizing risk stratification in heart failure and the selection of candidates for heart transplantation
Tiago Pereira-da-Silva1, Rui M Soares1, Ana Luísa Papoila2
1Department of Cardiology, Hospital de Santa Marta, Centro Hospitalar de Lisboa Central, Lisbon, Portugal.
Insights
Ventilatory efficiency (VE/VCO2) slope is the best predictor of outcomes in heart failure patients. A slope of 39.0 or higher suggests potential benefit from heart transplantation.
Area of Science:
- Cardiology
- Pulmonary Medicine
- Transplantation Science
Background:
- Heart transplantation candidate selection is complex.
- Identifying accurate risk predictors is crucial for optimizing outcomes.
- Heart failure with reduced ejection fraction (HFrEF) requires careful prognostic assessment.
Purpose of the Study:
- To identify key risk predictors in heart failure patients.
- To develop an optimized approach for selecting heart transplantation candidates.
- To evaluate the prognostic accuracy of various parameters in HFrEF.
Main Methods:
- Prospective assessment of ambulatory HFrEF patients (LVEF ≤40%).
- Comprehensive baseline evaluation including clinical, laboratory, and exercise testing.
- 60-month follow-up for cardiac death, urgent transplant, or mechanical support.
Main Results:
- Ventilatory efficiency (VE/VCO2) slope, creatinine, and LVEF independently predicted adverse outcomes.
- VE/VCO2 slope was the most accurate long-term risk predictor.
- A VE/VCO2 slope threshold of 39.0 demonstrated high specificity and prognostic discrimination.
Conclusions:
- VE/VCO2 slope is the premier parameter for risk stratification in HFrEF.
- Patients with VE/VCO2 slope ≥39.0 may be optimal candidates for heart transplantation.
- Further analysis of specific parameters can identify excellent prognosis in low-risk groups.
Introduction And Aims:
Selecting patients for heart transplantation is challenging. We aimed to identify the most important risk predictors in heart failure and an approach to optimize the selection of candidates for heart transplantation.
Methods:
Ambulatory patients followed in our center with symptomatic heart failure and left ventricular ejection fraction ≤40% prospectively underwent a comprehensive baseline assessment including clinical, laboratory, electrocardiographic, echocardiographic, and cardiopulmonary exercise testing parameters. All patients were followed for 60 months. The combined endpoint was cardiac death, urgent heart transplantation or need for mechanical circulatory support, up to 36 months.
Results:
In the 263 enrolled patients (75% male, age 54±12 years), 54 events occurred. The independent predictors of adverse outcome were ventilatory efficiency (VE/VCO2) slope (HR 1.14, 95% CI 1.11-1.18), creatinine level (HR 2.23, 95% CI 1.14-4.36), and left ventricular ejection fraction (HR 0.96, 95% CI 0.93-0.99). VE/VCO2 slope was the most accurate risk predictor at any follow-up time analyzed (up to 60 months). The threshold of 39.0 yielded high specificity (97%), discriminated a worse or better prognosis than that reported for post-heart transplantation, and outperformed peak oxygen consumption thresholds of 10.0 or 12.0 ml/kg/min. For low-risk patients (VE/VCO2 slope <39.0), sodium and creatinine levels and variations in end-tidal carbon dioxide partial pressure on exercise identified those with excellent prognosis.
Conclusions:
VE/VCO2 slope was the most accurate parameter for risk stratification in patients with heart failure and reduced ejection fraction. Those with VE/VCO2 slope ≥39.0 may benefit from heart transplantation.
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