Analysis of right ventricle echocardiographic function parameters for the prediction of outcomes in significant functional tricuspid regurgitation
| Autor: | A Travieso Gonzalez, I Vilacosta, T S Luque Diaz, D. Vivas Balcones, T Romero Delgado, P Mahia Casado |
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| Rok vydání: | 2021 |
| Předmět: |
medicine.medical_specialty
Univariate analysis business.industry medicine.disease medicine.anatomical_structure Quality of life Tricuspid Valve Insufficiency Functional tricuspid regurgitation Ventricle Heart failure Internal medicine medicine Medical imaging Cardiology Cardiology and Cardiovascular Medicine business Area under the roc curve |
| Zdroj: | European Heart Journal. 42 |
| ISSN: | 1522-9645 0195-668X |
| Popis: | Introduction Functional tricuspid regurgitation is a common disease that significantly impairs survival and quality of life. The role of echocardiographic right ventricular (RV) function parameters to detect patients with worse prognosis that may benefit from invasive treatment is still under debate. Methods 121 consecutive patients with grade III and IV functional tricuspid regurgitation were evaluated. RV function parameters and clinical variables were assessed at baseline, and then patients were prospectively followed-up. The primary endpoint was the combination of death or heart failure (HF) admissions. Comparison of imaging parameters was done using receiver-operating characteristics (ROC) curves. Multivariate logistic regression analysis was preformed to establish independent predictors of outcomes. Results Median follow up was 27.3 months. 73.6% of the patients were female, and mean age was 80.4 years. 63.6% were grade IV tricuspid regurgitation. In the univariate analysis using the area under the ROC curve (AUC), RV-free wall strain (RVS, AUC=0.633) and pulmonary artery systolic pressure (PASP, AUC=0.605) were the best predictors of death and HF admissions, although the individual diagnostic performance was weak. In the multivariate analysis including either clinical and echocardiographic variables, independent predictors of death and HF admissions were Age (OR 1.07, p=0.029), RVS >−16 (OR 5.0, p=0.001), Diabetes mellitus (OR 3.0, p=0.011), eGFR (ml/min, OR 0.96, p=0.001) and Hemoglobin (g/dL, OR=0.74, p=0.048). The model including these variables was superior than RVS and PASP alone (AUC 0.884, p Conclusions In patients with significant functional tricuspid regurgitation, RVS and PASP show the best performance for the detection of death and HF admissions. A multivariate model including age, diabetes, eGFR, hemoglobin and RVS was superior than the individual imaging parameters. Funding Acknowledgement Type of funding sources: None. Table 1Graph 1 |
| Databáze: | OpenAIRE |
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