Multiparameter diagnostic sensor measurements in heart failure patients presenting with SARS-CoV-2 infection.

AIMS: Implantable device-based sensor measurements including heart sounds, markers of ventilation, and thoracic impedance have been shown to predict heart failure (HF) hospitalizations. We sought to assess how these parameters changed prior to COVID-19 (Cov-19) and how these compared with those presenting with decompensated HF or pneumonia. METHODS AND RESULTS: This retrospective analysis explores patterns of changes in daily measurements by implantable sensors in 10 patients with Cov-19 and compares these findings with those observed prior to HF (n = 88) and pneumonia (n = 12) hospitalizations from the MultiSENSE, PREEMPT-HF, and MANAGE-HF trials. The earliest sensor changes prior to Cov-19 were observed in respiratory rate (6 days) and temperature (5 days). There was a three-fold to four-fold greater increase in respiratory rate, rapid shallow breathing index, and night heart rate compared with those presenting with HF or pneumonia. Furthermore, activity levels fell more in those presenting with Cov-19, a change that was often sustained for some time. In contrast, there were no significant changes in 1st or 3rd heart sound (S1 and S3 ) amplitude in those presenting with Cov-19 or pneumonia compared with the known changes that occur in HF decompensation. CONCLUSIONS: Multi-sensor device diagnostics may provide early detection of Cov-19, distinguishable from worsening HF by an extreme and fast rise in respiratory rate along with no changes in S3.

Duke Scholars

Author Adrian Felipe Hernandez Medicine, Cardiology