An application of pacemaker respiratory monitoring system for the prediction of heart failure

• Main Authors: Takashi Koyama, Masanori Kobayashi, Tomohide Ichikawa, Tadamasa Wakabayashi, Hidetoshi Abe
• Format: Article
• Language: English
• Published: Elsevier 2019-01-01
• Series: Respiratory Medicine Case Reports
• Online Access: http://www.sciencedirect.com/science/article/pii/S2213007118303459

Sleep-disordered breathing (SDB) is one of the most common complications among heart failure (HF) patients. Changes of respiratory patterns during the various stages in patients with HF have not been fully investigated. In this case, the algorism using thoracic impedance sensor and minute ventilation (sleep apnea monitoring [SAM] algorithm) with implanted pacemaker (REPLY 200 SR or DR, Sorin CRM SAS, Clamart, France) was used to monitor respiration. Impedance data from the implanted pacemaker can be converted into respiratory data, which can be used to calculate the respiratory disturbance index (RDI) per unit of time. Using this algorithm, we observed a sudden appearance of abnormal breathing at the onset of HF, followed by gradual improvement of respiratory patterns during the recovery stage. The results from respiratory monitoring using the SAM algorithm were strongly correlated with those from the positive airway pressure device. This case report could imply that proper utilization of this sensor could facilitate the early detection and therapeutic control of HF. Keywords: Heart failure, Pacemaker, Respiratory monitoring