AIMS: More precise characterization of risk factors for occurring ventricular arrhythmia in patients (pts) with primary prevention implantable cardioverter-defibrillator (ICD) therapy is critical. We sought to investigate whether biomarkers of nitric oxide metabolism can predict the occurrence of ventricular tachyarrhythmias and might be used as risk markers in these pts. METHODS AND RESULTS: Plasma levels of l-arginine (Arg), asymmetric dimethylarginine (ADMA), symmetrical dimethylarginine (SDMA), monomethyl l-arginine, and nitrite/nitrate were examined in 106 consecutive pts (mean age 65 years, 97 male, mean LV-EF 24 ± 6%), with ischaemic (n= 82) or non-ischaemic cardiomyopathy (n= 24) who underwent ICD implantation for primary prevention of SCD. Appropriate ICD intervention was assessed during a mean follow-up of 344 days, and occurred in 18 of 106 (17%) pts. Asymmetric dimethylarginine plasma levels were significantly higher in pts with appropriate ICD intervention compared with those without any ICD intervention (0.564 ± 0.083 μmol/L vs. 0.513 ± 0.088 μmol; P= 0.027). The Arg/ADMA ratio was found lower in pts with appropriate ICD intervention than in those without ICD intervention (144.71 ± 32.50 vs. 175.29 ± 41.29; P= 0.002). Univariate Cox regression showed that ADMA (P = 0.028) and the Arg/ADMA ratio (P = 0.003) were associated with a higher incidence of appropriate ICD intervention. In a multivariable Cox regression analysis, an ADMA concentration above the 50th centile was independently associated with appropriate ICD intervention, revealing a hazard ratio (HR) of 4.21 (CI 95 %: 1.14-15.63; P = 0.028, Table 4). An Arg/ADMA ratio below the 25th centile had a HR of 3.83 (1.360-10.87; P = 0.011). CONCLUSION: Asymmetric dimethylarginine and the Arg/ADMA ratio seem to be new biomarkers for the prediction of ventricular tachycardia/ventricular fibrillation episodes and of appropriate ICD intervention in pts with left ventricular ejection fraction dysfunction (LV-EF ≤ 35%), suggesting a value for risk stratification in these pts.
AIMS: More precise characterization of risk factors for occurring ventricular arrhythmia in patients (pts) with primary prevention implantable cardioverter-defibrillator (ICD) therapy is critical. We sought to investigate whether biomarkers of nitric oxide metabolism can predict the occurrence of ventricular tachyarrhythmias and might be used as risk markers in these pts. METHODS AND RESULTS: Plasma levels of l-arginine (Arg), asymmetric dimethylarginine (ADMA), symmetrical dimethylarginine (SDMA), monomethyl l-arginine, and nitrite/nitrate were examined in 106 consecutive pts (mean age 65 years, 97 male, mean LV-EF 24 ± 6%), with ischaemic (n= 82) or non-ischaemic cardiomyopathy (n= 24) who underwent ICD implantation for primary prevention of SCD. Appropriate ICD intervention was assessed during a mean follow-up of 344 days, and occurred in 18 of 106 (17%) pts. Asymmetric dimethylarginine plasma levels were significantly higher in pts with appropriate ICD intervention compared with those without any ICD intervention (0.564 ± 0.083 μmol/L vs. 0.513 ± 0.088 μmol; P= 0.027). The Arg/ADMA ratio was found lower in pts with appropriate ICD intervention than in those without ICD intervention (144.71 ± 32.50 vs. 175.29 ± 41.29; P= 0.002). Univariate Cox regression showed that ADMA (P = 0.028) and the Arg/ADMA ratio (P = 0.003) were associated with a higher incidence of appropriate ICD intervention. In a multivariable Cox regression analysis, an ADMA concentration above the 50th centile was independently associated with appropriate ICD intervention, revealing a hazard ratio (HR) of 4.21 (CI 95 %: 1.14-15.63; P = 0.028, Table 4). An Arg/ADMA ratio below the 25th centile had a HR of 3.83 (1.360-10.87; P = 0.011). CONCLUSION: Asymmetric dimethylarginine and the Arg/ADMA ratio seem to be new biomarkers for the prediction of ventricular tachycardia/ventricular fibrillation episodes and of appropriate ICD intervention in pts with left ventricular ejection fraction dysfunction (LV-EF ≤ 35%), suggesting a value for risk stratification in these pts.
Authors: Yiyi Zhang; Elena Blasco-Colmenares; Amy C Harms; Barry London; Indrani Halder; Madhurmeet Singh; Samuel C Dudley; Rebecca Gutmann; Eliseo Guallar; Thomas Hankemeier; Gordon F Tomaselli; Alan Cheng Journal: Europace Date: 2015-10-25 Impact factor: 5.214
Authors: Achim Leo Burger; Stefan Stojkovic; André Diedrich; Svitlana Demyanets; Johann Wojta; Thomas Pezawas Journal: Clin Biochem Date: 2020-06-04 Impact factor: 3.625