Key result
Elevated levels of Log sST2 (P<0.001) and Log NT-proBNP (P=0.002) were strong predictors of death in patients with ICDs and left ventricular dysfunction.
Why the study?
Do cardiovascular biomarkers predict all-cause mortality and survival with appropriate ICD therapy in patients with ICDs and left ventricular dysfunction?
Cohort (n=156)
Do cardiovascular biomarkers predict all-cause mortality and survival with appropriate ICD therapy in patients with ICDs and left ventricular dysfunction?
p-value: p=<0.001
Biomarkers such as NT-proBNP and sST2 may help identify patients with left ventricular dysfunction who are unlikely to gain significant survival benefit from ICD therapy.
May refine mortality risk stratification in ICD recipients with LV dysfunction; hypothesis-generating and requires prospective validation before guiding therapy.
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.
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Scott et al. (2011) conducted a cohort in Left ventricular dysfunction with an implantable cardioverter defibrillator (ICD) (n=156). Cardiovascular biomarkers (NT-proBNP, sST2, GDF-15, CRP, IL-6) was evaluated on All-cause mortality and survival with appropriate ICD therapy (p=<0.001). Elevated levels of Log sST2 (P<0.001) and Log NT-proBNP (P=0.002) were strong predictors of death in patients with ICDs and left ventricular dysfunction.
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