Sleep Apnea Diagnosis Using a Novel Pacemaker Algorithm and Link With Aldosterone Plasma Level in Patients Presenting With Diastolic Dysfunction

Little is known about potential relationships between sleep apnea, plasma aldosterone and diastolic dysfunction which is a very frequent finding among patients requiring permanent cardiac pacing. Sleep apnea is often under diagnosed by clinical examination. Confirmation tests are expensive and access is limited. A specific algorithm available in a recent pacemaker allows assessing breathing variations using minute ventilation sensor, with a good agreement between the respiratory disturbance index and polysomnography results for the diagnosis of severe sleep apnea. The purpose of the study is to examine the diagnostic accuracy of a new pacemaker algorithm for the diagnosis of obstructive sleep apnea in patients presenting with diastolic dysfunction. The investigators also aim to highlight a correlation between plasma aldosterone levels and the severity of sleep apnea, with a reversal effect of ventilation therapy in this specific population.