Continuous Ambulatory Monitoring to Predict Elevated Risk of Infection in Children With Lymphoblastic Leukemia Undergoing Induction Chemotherapy (CAMPER-ALL)

Acute lymphoblastic leukemia (ALL) is the most common cancer of childhood and long-term survival has risen to above 90%, but 1-4% of treated patients die from infections. Early detection and treatment of infection can improve these outcomes by preventing increased severity and death. This study aims to determine whether continuous analysis of information from wearable devices (Like a watch and sticky patch) that measure temperature, pulse rate, oxygen level, and other similar information can predict infection before it is apparent to the patient or caregiver. About 65 patients will be enrolled and will wear these devices for 10 days; during that time the information will be recorded, but not available. After completion, information collected immediately before infection will be compared to other times to identify features that predict infections.