The Relationship of Left Ventricular Diastolic Dysfunction and Asymmetrical Dimethylarginine as a Biomarker of

Livija Sušić1,2, Lana Maričić2,3, Ines Šahinović2,4

  • 1Department of Specialist-Consultative Health Care, Health Center of Osijek-Baranja County, 31000 Osijek, Croatia.

Insights

High cardiovascular risk, indicated by the Systematic Coronary Risk Evaluation 2 (SCORE2) algorithm, correlates with left ventricular diastolic dysfunction (LVDD) and heart failure (HF). Biomarkers for endothelial dysfunction (ED) showed a negative correlation, likely due to medication effects.

Area of Science:

  • Cardiology
  • Vascular Biology
  • Clinical Risk Assessment

Background:

  • Cardiovascular (CV) risk factors are primary drivers of endothelial dysfunction (ED) and left ventricular diastolic dysfunction (LVDD).
  • These dysfunctions significantly increase the risk of developing heart failure (HF).

Purpose of the Study:

  • To investigate the association between LVDD and ED with CV risk, as quantified by the Systematic Coronary Risk Evaluation 2 (SCORE2) algorithm.
  • To explore the relationship between LVDD, ED, and the incidence of HF.

Main Methods:

  • A cross-sectional study involving 178 middle-aged adults from November 2019 to May 2022.
  • Left ventricular (LV) function assessed via transthoracic echocardiography (TTE).
  • Endothelial dysfunction (ED) evaluated by plasma asymmetric dimethylarginine (ADMA) levels using ELISA.

Main Results:

  • Subjects with LVDD grades 2 and 3 exhibited high/very high SCORE2 scores, developed HF, and were medicated (p < 0.001).
  • Significantly lower plasma ADMA values were observed in these patients (p < 0.001).
  • Drug therapies, particularly combinations, were found to influence ADMA concentration reduction (p < 0.001).

Conclusions:

  • A positive correlation was confirmed between LVDD, HF, and SCORE2 severity.
  • A negative correlation was observed between ED biomarkers, LVDD severity, HF, and SCORE2.
  • Medication effects are hypothesized as the reason for the observed negative correlation with ED biomarkers.

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