Infants with single ventricle heart disease require a series of surgeries to survive. Patients have a 12% risk of death between the first two surgeries (the interstage period), but the causes of death are not well known. Wearable data could provide valuable insights into risk factors for, causes of, and effective interventions to prevent mortality in interstage patients. This is an ideal population for wearables given the high life-threatening event rate, unknown causes of death, and scarcity of effective interventions.
Interstage patients would be continuously monitored with a wearable relaying heart rate, oxygen saturation, respiratory rate, etc. Patterns in vital signs that occurred before life-threatening events would be identified and used to develop a risk score for impending events, the Wearable InterStage Event Risk (WISER) score. In the validation phase, the device could calculate a real-time WISER score and, if high, could alert caregivers of impending events.
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