Significance of the CAPRI risk score to predict heart failure hospitalization post-TAVI: The CAPRI-HF study
2019; Elsevier BV; Volume: 296; Linguagem: Inglês
10.1016/j.ijcard.2019.08.033
ISSN1874-1754
AutoresBrahim Harbaoui, Éric Durand, Marion Dupré, Muriel Rabilloud, Géraud Souteyrand, Pierre‐Yves Courand, Loïc Boussel, Thierry Lefévre, Hélène Eltchaninoff, Pierre Lantelme,
Tópico(s)Cardiac Imaging and Diagnostics
ResumoBackground Predictors of heart failure (HF) hospitalization after transcatheter aortic valve implantation (TAVI) are not well defined. CAPRI is a score for predicting 1-year post-TAVI cardiovascular and all-cause mortality. The aim of the present study is to assess the prognostic significance of the CAPRI score for HF hospitalization 1 year after TAVI. Methods and results CAPRI-HF is an ancillary study of the C4CAPRI trial, analyzing 409 consecutive patients treated by TAVI. The primary outcome was hospitalization for HF during the first year post-intervention. The prognostic value of the CAPRI score was assessed by multivariable analysis adjusted for diabetes, atrial fibrillation, vascular route, pacemaker implantation, post-TAVI aortic regurgitation, transfusion and pulmonary artery systolic pressure. A subanalysis focused on patients with low-gradient aortic stenosis (LGAS). At 1 year, HF hospitalization occurred in 78 (19.9%) patients. Patients with HF were more prone to have diabetes, atrial fibrillation, renal dysfunction, lower mean aortic gradient, higher logistic EuroSCORE and higher CAPRI score (p < .05 for all associations). In the multivariable analysis, CAPRI score was the sole predictor of HF: hazard ratio (HR) for each 0.1 CAPRI score increase was 1.065, 95% confidence interval (CI) 1.021–1.110. This was confirmed when adjusted for EuroSCORE: HR 1.066, 95% CI 1.024–1.110. The predictive power of the CAPRI score increased for LGAS: HR 1.098, 95% CI 1.028–1.172. Conclusions CAPRI score helps predict HF post-TAVI. Including the score in the decision-making process may help selecting candidates for TAVI and identifying patients who need close monitoring post-procedure.
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