Effect of Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) on Left Ventricular Mechanics in Patients Without Overt Cardiac Disease: A Systematic Review and Meta-Analysis

Background: Over the last two decades, a fair number of echocardiographic studies have investigated the influence of metabolic dysfunction-associated steatotic liver disease (MASLD) on myocardial strain and strain rate parameters assessed by speckle tracking echocardiography (STE) in individuals without overt heart disease, reporting not univocal results. We aimed at analyzing the main findings of these studies. Methods: All studies examining conventional echoDoppler parameters by transthoracic echocardiography (TTE) and left ventricular (LV) mechanics [LV-global longitudinal strain (GLS), LV-global strain rate in systole (GSRs), in early diastole (GSRe) and late diastole (GSRl)] by STE in MASLD patients without known heart disease vs. healthy individuals, were searched on PubMed, Embase and Scopus databases. The primary endpoint was to quantify the effect of MASLD on LV-GLS in individuals without overt cardiac disease. Continuous data [LV-GLS, LV-GLSRs, LV-GLSRe, LV-GLSRl and left ventricular ejection fraction (LVEF)] were pooled as the standardized mean difference (SMD) comparing MASLD cohorts with healthy controls. Results: A total of 11 studies were included, totaling 1348 MASLD patients and 6098 healthy controls. Overall, MASLD showed a medium effect on LV-GLS (SMD −0.6894; 95%CI −0.895, −0.472, p < 0.001) and LV-GLSRs (SMD −0.753; 95%CI −1.501, −0.006, p = 0.048), a large effect on LV-GLSRe (SMD −0.837; 95%CI −1.662, −0.012, p = 0.047) and a small and not statistically significant effect on LV-GLSRl (SMD −0.375; 95%CI −1.113, 0.363, p = 0.319) and LVEF (SMD −0.134; 95%CI −0.285, 0.017, p = 0.083). The overall I2 statistic was 86.4%, 89.4%, 90.9%, 89.6% and 72.5% for LV-GLS, LV-GLSRs, LV-GLSRe, LV-GLSRl and LVEF studies, respectively, indicating high between-study heterogeneity. Egger’s test for LV-GLS studies gave a p value of 0.11, 0.26, 0.40, 0.32 and 0.42 for LV-GLS, LV-GLSRs, LV-GLSRe, LV-GLSRl and LVEF studies, respectively, thus excluding publication bias. Meta-regression analysis excluded any correlation between potential confounders and LV-GLS in MASLD individuals (all p > 0.05). Sensitivity analysis confirmed the robustness of study results. Conclusions: MASLD has a medium effect on LV-GLS, independently of demographics, anthropometrics and the cardiovascular disease burden. STE analysis may allow early detection of subclinical LV systolic dysfunction in MASLD patients, potentially identifying those who may develop heart failure later in life.