Aims This study investigated the prognostic value of plasma volume status (PVS) in patients who underwent transcatheter aortic valve replacement (TAVR). Methods and results Plasma volume status was calculated in 2588 patients who underwent TAVR using data from the Japanese multicentre registry. All-cause mortality and heart failure hospitalization (HFH) within 2 years of TAVR were compared among the PVS quartiles (Q1,
Objectives
Estimating 1‐year life expectancy is an essential factor when evaluating appropriate indicators for transcatheter aortic valve replacement (TAVR).
Background
It is clinically useful in developing a reliable risk model for predicting 1‐year mortality after TAVR.
Methods
We evaluated 2,588 patients who underwent TAVR using data from the Optimized CathEter vAlvular iNtervention (OCEAN) Japanese multicenter registry from October 2013 to May 2017. The 1‐year clinical follow‐up was achieved by 99.5% of the entire population (n = 2,575). Patients were randomly divided into two cohorts: the derivation cohort (n = 1,931, 75% of the study population) and the validation cohort (n = 644). Considerable clinical variables including individual patient's comorbidities and frailty markers were used for predicting 1‐year mortality following TAVR.
Results
In the derivation cohort, a multivariate logistic regression analysis demonstrated that sex, body mass index, Clinical Frailty Scale, atrial fibrillation, peripheral artery disease, prior cardiac surgery, serum albumin, renal function as estimated glomerular filtration rate, and presence of pulmonary disease were independent predictors of 1‐year mortality after TAVR. Using these variables, a risk prediction model was constructed to estimate the 1‐year risk of mortality after TAVR. In the validation cohort, the risk prediction model revealed high discrimination ability and acceptable calibration with area under the curve of 0.763 (95% confidence interval, 0.728–0.795, p < .001) in the receiver operating characteristics curve analysis and a Hosmer–Lemeshow χ2 statistic of 5.96 (p = .65).
Conclusions
This risk prediction model for 1‐year mortality may be a reliable tool for risk stratification and identification of adequate candidates in patients undergoing TAVR.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.