Does a reduction in heart rate variability (SDNN) predict mortality better than conventional clinical measurements in patients with chronic heart failure?
Patients with chronic heart failure (CHF)
Measurement of Heart Rate Variability (HRV), specifically standard deviation of normal-to-normal intervals (SDNN)
Other conventional clinical measurements
Death due to progressive heart failurehard clinical
Reduced heart rate variability (SDNN) is a strong predictor of mortality in chronic heart failure, identifying high-risk patients who may need additional therapy beyond ACE inhibitors.
CHF is associated with autonomic dysfunction, which can be quantified by measuring HRV. A reduction in SDNN identifies patients at high risk of death and is a better predictor of death due to progressive heart failure than other conventional clinical measurements. High-risk subgroups identified by this measurement are candidates for additional therapy after prescription of an ACE inhibitor.
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James Nolan
Interventional Cardiology
Phillip D Batin
Ollscoil na Gaillimhe – University of Galway
Richard Andrews
Heart Failure / Cardiomyopathy
Circulation
Queen's Medical Centre
Doncaster Royal Infirmary
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Nolan et al. (Tue,) studied this question.
synapsesocial.com/papers/69d5707275589c71d767dbfb — DOI: https://doi.org/10.1161/01.cir.98.15.1510