Left ventricular myocardial fibrosis: a marker of bad prognosis in symptomatic severe aortic stenosis

Natural history of initially asymptomatic severe aortic stenosis: a one-stage meta-analysis

BACKGROUND

Current guidelines on the management strategy for patients with asymptomatic severe aortic stenosis (AS) remain unclear. This uncertainty stems from the lack of data regarding the natural history of these patients. To address this gap, we performed a systematic review and meta-analysis examining the natural history of asymptomatic severe AS patients receiving conservative treatment.

METHODS

The PubMed, Cochrane, and Embase databases were searched from inception to 24 January 2024 using the keywords "asymptomatic" AND "aortic" AND "stenosis". We included studies examining patients with asymptomatic severe AS. In interventional trials, only data from conservatively managed arms were collected. A one-stage meta-analysis was conducted using individual patient data reconstructed from published Kaplan-Meier curves. Sensitivity analysis was performed for major adverse cardiovascular outcomes in patients who remained asymptomatic throughout follow-up.

RESULTS

A total of 46 studies were included (n = 9545). The median time to the development of symptoms was 1.11 years (95% CI 0.90-1.53). 49.36% (40.85-58.59) of patients who were asymptomatic had suffered a major adverse cardiovascular event by 5 years. The median event-free time for heart failure hospitalization (HFH) was 5.50 years (95% CI 5.14-5.91) with 36.34% (95% CI 33.34-39.41) of patients experiencing an HFH by year 5. By 5 years, 79.81% (95% CI 69.26-88.58) of patients developed symptoms (angina, dyspnoea, syncope and others) and 12.36% (95% CI 10.01-15.22) of patients died of cardiovascular causes. For all-cause mortality, the median survival time was 9.15 years (95% CI 8.50-9.96) with 39.43% (CI 33.41-36.40) of patients dying by 5 years. The median time to AVR was 4.77 years (95% CI 4.39-5.17), with 52.64% (95% CI 49.85-55.48) of patients requiring an AVR by 5 years.

CONCLUSION

Our results reveal poor cardiovascular outcomes for patients with asymptomatic severe AS on conservative treatment. A significant proportion eventually requires an AVR. Further research is needed to determine if early intervention with AVR is more effective than conservative treatment.

Predicting Left Ventricular Adverse Remodeling After Transcatheter Aortic Valve Replacement: A Radiomics Approach

RATIONALE AND OBJECTIVES

To develop a radiomics model based on cardiac computed tomography (CT) for predicting left ventricular adverse remodeling (LVAR) in patients with severe aortic stenosis (AS) who underwent transcatheter aortic valve replacement (TAVR).

MATERIALS AND METHODS

Patients with severe AS who underwent TAVR from January 2019 to December 2022 were recruited. The cohort was divided into adverse remodeling group and non-adverse remodeling group based on LVAR occurrence, and further randomly divided into a training set and a validation set at an 8:2 ratio. Left ventricular radiomics features were extracted from cardiac CT. The least absolute shrinkage and selection operator regression was utilized to select the most relevant radiomics features and clinical features. The radiomics features were used to construct the Radscore, which was then combined with the selected clinical features to build a nomogram. The predictive performance of the models was evaluated using the area under the curve (AUC), while the clinical value of the models was assessed using calibration curves and decision curve analysis.

RESULTS

A total of 273 patients were finally enrolled, including 71 with adverse remodeling and 202 with non-adverse remodeling. 12 radiomics features and five clinical features were extracted to construct the radiomics model, clinical model, and nomogram, respectively. The radiomics model outperformed the clinical model (training AUC: 0.799 vs. 0.760; validation AUC: 0.766 vs. 0.755). The nomogram showed highest accuracy (training AUC: 0.859, validation AUC: 0.837) and was deemed most clinically valuable by decision curve analysis.

CONCLUSION

The cardiac CT-based radiomics features could predict LVAR after TAVR in patients with severe AS.

Antifibrotic Effect of a Novel Selective 11β-HSD2 Inhibitor (WZ51) in a rat Model of Myocardial Fibrosis

Myocardial fibrosis (MF) is one of the leading causes of end-stage heart disease. Many studies have confirmed that inflammation caused by aldosterone may play an important role in the process of MF. A selective 11β-hydroxysteroid dehydrogenase type 2 (11β-HSD2) enzyme inhibitor can reduce the inactivation of cortisol, allowing cortisol to compete for mineralocorticoid receptors. This study investigated the protective effect of a novel selective 11βHSD2 inhibitor (WZ51) on MF and described its underlying mechanism. The administration of WZ51 in rats with MF significantly alleviated myocardial injury, accompanied by a decrease in lactate dehydrogenase and the creatine kinase myocardial band. Furthermore, WZ51 significantly inhibited the development of MF and increased the protein level of 11β-HSD2. The results of this study demonstrate that 11β-HSD2 plays an important pathological role in MF. Thus, WZ51 may be a potential therapeutic agent for the treatment of this condition.