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Eur. J. Clin. Invest. · Oct 2015
Additional Prognostic Value of EAS index in predicting the occurrence of rehospitalizations in chronic heart failure: data from the Daunia Heart Failure Registry.
- Michele Correale, Antonio Totaro, Armando Ferraretti, Francesco Musaico, Tommaso Passero, Fiorella De Rosa, Silvia Abruzzese, Riccardo Ieva, Matteo Di Biase, and Natale Daniele Brunetti.
- Cardiology Department, University of Foggia, Foggia, Italy.
- Eur. J. Clin. Invest. 2015 Oct 1; 45 (10): 1098-105.
BackgroundTissue Doppler imaging (TDI) may be useful in identifying subjects at higher risk among patients with chronic heart failure (CHF). The clinical role of newly developed TDI parameters, however, still needs to be documented.MethodsA total of 287 consecutive patients with CHF enrolled in the Daunia Heart Failure Registry underwent echocardiography assessment and were followed prospectively for a median 255 (204-316) days. Conventional echocardiography and TDI parameters were calculated. We also quantified by TDI a combined index (EAS index) of diastolic and systolic performance E'/(A'xS') and assessed its possible additional prognostic role in combination with 'traditional' parameters such as left ventricular ejection fraction (LVEF) and myocardial performance index (MPI).ResultsSubjects readmitted for worsening HF were characterized by higher levels of EAS index (median 0·14 (95% C.I. 0·12-0·21) vs. 0·11 (0·10-0·12, P < 0·05)). Increased rates of rehospitalization were found in subjects with EAS index >median (0·115) (21% vs. 10%, P < 0·05); higher EAS index values predicted the incidence of readmissions for worsening HF during follow-up, even at multivariable analysis. The assessment of EAS index in addition to LVEF and MPI showed an adjunctive prognostic value (log-rank P < 0·001 and P < 0·05, respectively).ConclusionsEAS index assessed by TDI may be helpful in predicting the risk of rehospitalizations in subjects with CHF. EAS index may represent an independent adjunctive tool for the risk stratification of patients with CHF in addition to 'traditional' tools such as LVEF or MPI.© 2015 Stichting European Society for Clinical Investigation Journal Foundation.
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