May 18, 2009 - CardioNet Inc. launched SomNet, a new clinical indicator for severe sleep disorders available in the company’s existing Mobile Cardiac Outpatient Telemetry (MCOT) system, during last week’s Heart Rhythm Society’s (HRS) 30th Annual Scientific Sessions in Boston.
Because many patients with cardiac disorders also suffer from common sleep disorders like sleep apnea, CardioNet believes that SomNet has the potential to identify patients with a high likelihood of such sleep disorders by measuring cyclic variation of heart rate (CVHR), a rhythm that is caused by repeated arousals from sleep due to such disorders. SomNet’s utility is based on data presented
In an 80-patient study presented at HRS, Phyllis K. Stein, Ph.D., research associate professor of medicine at Washington University School of Medicine, found that automated identification of clinically relevant CVHR is feasible using CardioNet’s MCOT system. The study compared MCOT automatic analysis of CVHR patterns versus a human expert’s direct analysis of plots of HR patterns for measuring clear (large amplitude) CVHR. Findings showed similar specificity and positive predictive value measures between MCOT and human expert analysis, with slightly lower sensitivity measures for the automated analysis.
“Although slightly less sensitive than more labor intensive human over reading, the MCOT system and SomNet may provide a platform for efficiently identifying patients with severe sleep disorders, like sleep apnea, in a large population,” Dr. Stein said.
For more information: www.cardionet.com
News | May 18, 2009