Abstract 4145889: Association between Pulmonary Artery Elastance and all cause mortality in patients with Heart Failure: A Meta-Analysis

Background: Pulmonary Artery Elastance (PAE) is an echocardiographic value commonly calculated in Heart Failure (HF) patients. It is presumed to be associated with mortality and adverse outcomes. We aim to evaluate pulmonary artery elastance (PAE) as a predictor of all-cause mortality in heart failure (HF) patients Methods: A comprehensive literature review was conducted on PubMed and Google Scholar from inception till May 2024 for articles relevant to the mortality outcomes in HF patients with respect to pulmonary arterial elastance as one of their predictors. Data were extracted independently by four different reviewers. We used a fixed-effects model meta-analysis model to evaluate and pool the outcomes in association with PAE and all-cause mortality. Further assessment of the outcomes was performed by sensitivity analysis with a one-study removal method and meta-regression analysis. Results: Out of 63 studies, 4 studies with 759 patients were included in our meta-analysis. Mean age ranged from 54 to 65 years. We found there was a statistically significant association between pulmonary artery elastance and all-cause mortality (OR: 1.12, 1.06 - 1.19, p < 0.0001] (Figure 1a). Sensitivity analysis with one-study removal showed overall effects in the meta-analysis still lean towards supporting PAE as the predictor for ACM (Figure 1b). Meta-regression analysis with age (Figure 1c), sex and other supportive variables did not show statistically significant associated confounders. Conclusion: This meta-analysis establishes a significant association between elevated PAE and increased risk for all-cause mortality in HF patients. These results suggest PAE could be a strong predictor for all-cause mortality in HF patients. Further research is needed to provide a more comprehensive understanding of the predictive value of PAE for HF patients. The association between PAE and mortality could provide significant insights that could influence clinical practice and improve patient outcomes in HF.