Aortic stenosis (AS) is a progressive valvular heart disease characterized by fibrocalcific remodeling, inflammation, and hemodynamic disturbances. Serum biomarkers may indirectly reflect these processes. Autotaxin (ATX) and lysophosphatidic acid (LPA) have been implicated in osteogenic differentiation of valvular interstitial cells, while growth differentiation factor-15 (GDF-15) reflects cellular stress and vascular changes. Thrombomodulin (TM) indicates endothelial injury and interacts with thrombin. This study aimed to evaluate biomarkers focusing on serum ATX, LPA, GDF-15, and TM levels and flow-mediated dilatation (FMD) in patients with AS. Overall, 149 patients were included in the study: 86 consecutive patients with AS hospitalized due to qualification for invasive treatment of AS and 63 controls. The clinical characteristics, echocardiographic data, FMD, and the following biomarkers—ATX, LPA, GDF-15, and TM—were included in the analysis. AS patients presented increased serum levels of ATX, GDF-15, and TM as compared to the controls. Differences in LPA levels were not statistically significant. FMD values were significantly lower in AS patients. The biomarkers mentioned above and FMD correlated with AS severity. There were no differences in both biomarkers’ serum levels and FMD regarding the hemodynamic AS phenotype. GDF-15 serum level was a risk factor for all-cause mortality and MACCE in the 12-month follow-up.

Background: Cardiac resynchronization therapy (CRT) improves outcome in patients with heart failure (HF) however approximately 30% of patients still remain non-responsive. We propose a novel index—Regional Strain Pattern Index (RSPI)—to prospectively evaluate response to CRT. Methods: Echocardiography was performed in 49 patients with HF (66.5 ± 10 years, LVEF 24.9 ± 6.4%, QRS width 173.1 ± 19.1 ms) two times: before CRT implantation and 15 ± 7 months after. At baseline, dyssynchrony was assessed including RSPI and strain pattern. RSPI was calculated from all three apical views across 12 segments as the sum of dyssynchronous components. From every apical view, presence of four components were assessed: (1) contraction of the early-activated wall; (2) prestretching of the late activated wall; (3) contraction of the early-activated wall in the first 70% of the systolic ejection phase; (4) peak contraction of the late-activated wall after aortic valve closure. Each component scored 1 point, thus the maximum was 12 points. Results: Responders reached higher mean RSPI values than non-responders (5.86 ± 2.9 vs. 4.08 ± 2.4; p = 0.044). In logistic regression analysis value of RSPI ≥ 7 points was a predictor of favorable CRT effect (OR: 12; 95% CI = 1.33–108.17; p = 0.004). Conclusions: RSPI could be a valuable predictor of positive outcome in HF patients treated with CRT.