Tricuspid annular plane systolic excursion/pulmonary arterial systolic pressure ratio as a predictor of in-hospital mortality for acute heart failure

Right ventricular (RV) function is an important prognostic factor in heart failure. Patients with impaired right ventricular function have a poorer prognosis. The ratio between a tricuspid annular plane systolic excursion (TAPSE) and pulmonary artery systolic pressure (PASP) is a simple non-invasive...

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Veröffentlicht in:BMC cardiovascular disorders 2022-09, Vol.22 (1), p.414-9, Article 414
Hauptverfasser: Naseem, Mohamed, Alkassas, Amr, Alaarag, Ahmed
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Sprache:eng
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Zusammenfassung:Right ventricular (RV) function is an important prognostic factor in heart failure. Patients with impaired right ventricular function have a poorer prognosis. The ratio between a tricuspid annular plane systolic excursion (TAPSE) and pulmonary artery systolic pressure (PASP) is a simple non-invasive parameter that has shown a good correlation with invasively estimated right ventricle (RV)-pulmonary artery (PA) coupling. The current study aimed to determine the value of the non-invasive evaluation of RV-PA coupling using the TAPSE/PASP ratio in predicting in-hospital mortality in patients with acute heart failure. We included 200 patients with (heart failure and reduced ejection fraction) HFrEF presented by acute heart failure. Echocardiographic evaluation for left ventricle systolic and diastolic function was performed at the time of admission. RV functions were evaluated by calculating the following (TAPSE, PSAP, TAPSE/PASP ratio). Data were analyzed to find the predictors of in-hospital mortality. The study cohort included two hundred consecutive patients who were hospitalized for a diagnosis of acute decompensation of chronic heart failure. The in-hospital mortality rate was 12%. TAPSE/PASP was an independent predictor for in-hospital mortality (odd ratio = 3.470; 95% confidence interval, 1.240-9.705, p-value = 0.018) and (odd ratio = 18.813; 95% confidence interval, 1.974-179.275, p-value = 0.011) in univariate and multivariable logistic regression analyses respectively. In ROC curve analysis, TAPSE/PASP with a cut-off value 
ISSN:1471-2261
1471-2261
DOI:10.1186/s12872-022-02857-6