AIMS: Implantable cardioverter defibrillator (ICD) therapy improves survival in patients at high sudden cardiac death (SCD) risk. However, some patient groups fulfilling indications for ICD therapy may not gain significant benefit: patients whose absolute risk of SCD is low and patients whose risk of death even with an ICD is high. The value of biomarkers in identifying patients' potential for survival benefit from ICD therapy is unknown. We performed a pilot study to investigate this. METHODS AND RESULTS: Five established cardiovascular biomarkers were measured in patients with ICDs on the background of left ventricular dysfunction: N-terminal pro-brain natriuretic peptide [NT-proBNP], soluble ST2 [sST2], growth differentiation factor-15, C-reactive protein, and interleukin-6. The endpoints were all-cause mortality and survival with appropriate ICD therapy. One hundred and fifty-six patients were enrolled (age 69 years [Q1-Q3 62-77], 85% male, 76% ischaemic aetiology). During a follow-up of 15 ± 3 months, 12 patients died and 43 survived with appropriate ICD therapy. In a Cox proportional hazards model, the strongest predictors of death were Log sST2 (P< 0.001), serum creatinine (P< 0.001), and Log NT-proBNP (P= 0.002). The strongest predictor of survival with appropriate ICD therapy was Log NT-proBNP (P= 0.01). CONCLUSION: The biomarkers NT-proBNP and sST2 are promising biomarkers for identifying patients with little potential to gain significant survival benefit from ICD therapy. However, their incremental benefit, in addition to currently available clinical risk prediction models, remains unclear. These results demand a confirmatory prospective cohort study, designed and powered to derive and validate prediction algorithms incorporating these markers.
AIMS: Implantable cardioverter defibrillator (ICD) therapy improves survival in patients at high sudden cardiac death (SCD) risk. However, some patient groups fulfilling indications for ICD therapy may not gain significant benefit: patients whose absolute risk of SCD is low and patients whose risk of death even with an ICD is high. The value of biomarkers in identifying patients' potential for survival benefit from ICD therapy is unknown. We performed a pilot study to investigate this. METHODS AND RESULTS: Five established cardiovascular biomarkers were measured in patients with ICDs on the background of left ventricular dysfunction: N-terminal pro-brain natriuretic peptide [NT-proBNP], soluble ST2 [sST2], growth differentiation factor-15, C-reactive protein, and interleukin-6. The endpoints were all-cause mortality and survival with appropriate ICD therapy. One hundred and fifty-six patients were enrolled (age 69 years [Q1-Q3 62-77], 85% male, 76% ischaemic aetiology). During a follow-up of 15 ± 3 months, 12 patients died and 43 survived with appropriate ICD therapy. In a Cox proportional hazards model, the strongest predictors of death were Log sST2 (P< 0.001), serum creatinine (P< 0.001), and Log NT-proBNP (P= 0.002). The strongest predictor of survival with appropriate ICD therapy was Log NT-proBNP (P= 0.01). CONCLUSION: The biomarkers NT-proBNP and sST2 are promising biomarkers for identifying patients with little potential to gain significant survival benefit from ICD therapy. However, their incremental benefit, in addition to currently available clinical risk prediction models, remains unclear. These results demand a confirmatory prospective cohort study, designed and powered to derive and validate prediction algorithms incorporating these markers.
Authors: Christina Ip; King Sum Luk; Vincent Lok Cheung Yuen; Lorraine Chiang; Ching Ki Chan; Kevin Ho; Mengqi Gong; Teddy Tai Loy Lee; Keith Sai Kit Leung; Leonardo Roever; George Bazoukis; Konstantinos Lampropoulos; Ka Hou Christien Li; Gary Tse; Tong Liu Journal: Int J Cardiol Heart Vasc Date: 2021-10-18
Authors: Stefan Stojkovic; Alexandra Kaider; Lorenz Koller; Mira Brekalo; Johann Wojta; Andre Diedrich; Svitlana Demyanets; Thomas Pezawas Journal: J Cell Mol Med Date: 2018-02-04 Impact factor: 5.295