Soluble ST2 for Risk Stratification and the Prediction of Mortality in Patients Undergoing Transcatheter Aortic Valve Implantation.

This study aimed to assess the prognostic value of soluble ST2 (sST2) for risk stratification in patients undergoing transcatheter aortic valve implantation (TAVI). In 461 patients undergoing TAVI, sST2 was determined at baseline and categorized into quartiles. An optimum cutoff of 29 ng/ml was calculated. Primary end point was 1-year all-cause mortality. Results were validated in an independent cohort. Patients with sST2 >29 ng/ml had an increased 30-day (9.7% vs 4.6%, p = 0.043) and 1-year mortality (38.1% vs 21.8%, p = 0.001). In accordance, patients with N-terminal pro-brain natriuretic peptide (NT-proBNP) >8145 pg/ml revealed a comparable 30-day mortality (7.9% vs 4.7%, p = 0.189) and 1-year mortality (39.5% vs 21.0%, p <0.001). In univariate regression analysis, sST2 and NT-proBNP were associated with increased mortality risk. In multivariate regression analysis, independent predictors of mortality were logistic EuroSCORE, chronic renal failure, left ventricular ejection fraction, and sST2. In receiver operating characteristic curve analysis, sST2 did not provide incremental prognostic information beyond that obtained from surgical risk scores such as the STS-PROM or NT-proBNP. Similar findings could be achieved in an independent validation cohort. In conclusion, sST2 is independently associated with adverse outcome after TAVI but was not superior to NT-proBNP or surgical risk scores for the prediction of postprocedural outcomes.

Elevated growth differentiation factor 15 levels predict outcome in patients undergoing transcatheter aortic valve implantation.

AIMS: Transcatheter aortic valve implantation (TAVI) has emerged as a treatment of aortic stenosis in patients at high surgical risk. However, risk stratification in this elderly population is challenging, as patients at extreme risk might not benefit from TAVI. While several clinical criteria have been proposed for estimating the outcome, prediction of individual risk remains difficult. Therefore, our aim was to assess the prognostic value of the biomarker growth differentiation factor 15 (GDF15). METHODS AND RESULTS: Over a 2.9-year period, we prospectively enrolled 217 patients undergoing TAVI. Clinical parameters, risk scores, and biomarkers (NT-proBNP and GDF15) were measured at baseline. The primary endpoint was survival time; prognostic factors were analysed by Cox regression analysis. Mean age of study participants was 81.8 ± 6.0 years. Median Logistic EuroSCORE was 20.1 (Q1-Q3 13.6-32.6). Thirty-day mortality was 6.9%; 30.4% of the patients died during follow-up [median 349 days (Q1-Q3 106-660)]. Median pre-procedural GDF15 values were 2256 pg/mL (1585-3082). High GDF15 levels were associated with numerous factors that could contribute to poor outcome. Analyses comparing the upper quartile with the lower three quartiles for biomarker levels revealed a hazard ratio (HR) of increased GDF15 for adverse outcome of 2.4 [95% confidence interval (CI) 1.5-3.9, P < 0.001]. Of note, in multiple analyses, elevated GDF15 levels were superior to NT-proBNP for predicting negative outcome (adjusted HR of GDF15 1.97, 95% CI 1.2-3.3; P = 0.009). CONCLUSION: Elevated GDF15 levels were superior to NT-proBNP for TAVI risk stratification and provided additional prognostic information. Thus, patient selection for TAVI may benefit from measurement of GDF15.