Factor XIIIA (FXIIIA) levels are independent predictors of early prognosis after acute myocardial infarction (AMI) and the Valine-to-Leucine (V34L) single nucleotide polymorphism (SNP) seems associated with lower AMI risk. Since the long-term AMI prognosis merits deeper investigation, we performed an observational study evaluating relationships between FXIIIA residual levels, cardiovascular risk-factors, and inherited genetic predispositions. FXIIIA V34L was genotyped in 333 AMI patients and a five-year follow-up was performed. FXIIIA levels assessed at day-zero (d0) and four days after AMI (d4), and conventional risk factors were analyzed, focusing on the development of major adverse cardiovascular events (MACE). FXIIIA assessed at d0 and d4 was also an independent MACE predictor in the long-term follow-up (FXIIIAd0, Odds Ratio (OR) = 3.02, 1.79–5.1, p = 0.013; FXIIIAd4, OR = 4.46, 2.33–8.55, p = 0.0001). FXIIIAd4 showed the strongest MACE association, suggesting that the FXIIIA protective role is maximized when high levels are maintained for longer time. Conversely, FXIIIA levels stratified by V34L predicted MACE at a lesser extent among L34-carriers (Hazard Risk (HR)VV34 = 3.89, 2.19–6.87, p = 0.000003; HRL34-carriers = 2.78, 1.39–5.57, p = 0.0039), and V34L did not predict all MACE, only multiple-MACE occurrence (p = 0.0087). Finally, in survival analysis, heart failure and death differed significantly from stroke and recurrent ischemia (p = 0.0013), with FXIIIA levels appreciably lower in the former (p = 0.05). Overall, genetically-determined FXIIIA levels have a significant long-term prognostic role, suggesting that a pharmacogenetics approach might help to select those AMI patients at risk of poor prognosis in the need of dedicated treatments.
Background:
Although in clinical practice heart failure (HF) patients are classified using left ventricular ejection fraction (LVEF), this categorization is insufficient for prognosis, especially when LVEF is preserved or there is a concomitant right ventricular (RV) dysfunction. We hypothesized that a combined noninvasive evaluation of LV forward flow, filling pressure, and RV function would be better than LVEF in predicting all-cause mortality of hospitalized patients with HF.
Methods:
Transthoracic echocardiographic examinations of 603 patients hospitalized with HF were analyzed. In a subsample of 200 patients with HF, LV stroke volume index, LV filling pressure estimation, tricuspid annular plane systolic excursion, and systolic pulmonary artery pressure were combined to determine 4 hemodynamic profiles: normal flow-normal pressure, normal flow-high pressure, low flow without RV dysfunction, and low flow with RV dysfunction profile. This model was then applied in a validation cohort (n=403).
Results:
Prognosis worsened from the normal flow-normal pressure profile to the low flow with right ventricular dysfunction profile. At the multivariate survival analysis, the model showed independent high risk-stratification capability (
P
<0.001), even in subgroups of patients with LVEF < or ≥50% (
P
=0.011 and
P
<0.001, respectively) and < or ≥40% (
P
=0.044 and
P
<0.001, respectively). LVEF and HF classification based on LVEF did not predict outcome.
Conclusions:
Echocardiographic-derived profiling of LV forward flow, filling pressure, and RV function allowed categorization of patients hospitalized with HF and predicted all-cause mortality independently of LVEF. This model is based on conventional echocardiography, is easy to apply, and is, therefore, suggested for clinical practice.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.