Harnessing Wearable Technology to Anticipate Surgical Complications in Children

Each year, approximately 4 million children undergo surgical procedures in the United States. While postoperative complications, such as infections, can significantly affect these young patients, early detection and intervention after discharge can be quite difficult.

A groundbreaking study published in Science Advances by researchers from Shirley Ryan AbilityLab, Ann and Robert H. Lurie Children's Hospital of Chicago, and the University of Alabama at Birmingham marks the first instance of utilizing consumer wearable technology to effectively predict postoperative complications in pediatric patients. This innovation holds the potential to expedite treatment and improve care.

According to the senior author of the study, a scientist at Shirley Ryan AbilityLab, the widespread use of consumer wearables has transformed how health metrics are monitored. The study advances this technology by training algorithms to recognize new metrics that are particularly sensitive in detecting complications, indicating a promising future for enhancing patient outcomes in pediatric healthcare.

The research involved equipping 103 children with commercially available Fitbit devices for 21 days following an appendectomy--the most frequently performed surgery in children, which can lead to complications in up to 38% of cases. Rather than relying solely on the standard metrics collected by the Fitbit, researchers developed an algorithm that incorporated new metrics reflecting the circadian rhythms of the children's physical activity and heart rate patterns.

Through this advanced analysis, the researchers discovered that these new metrics were more effective in identifying complications than traditional methods. Their findings revealed that researchers could predict postoperative complications up to three days in advance of formal diagnosis with a sensitivity of 91% and specificity of 74%.

Historically, healthcare providers have depended on subjective reports from children and their caregivers, which can lead to delayed recognition of complications. The introduction of wearables, coupled with this innovative algorithm, presents an opportunity to revolutionize postoperative monitoring and care, ultimately improving health outcomes for young patients.

This research is part of a larger four-year initiative. The next phase aims to transition this predictive approach into a real-time monitoring system that automatically analyzes data and alerts healthcare teams if any concerning patterns emerge.

The findings underscore the significant potential of wearable devices to enhance clinical care and promote faster recoveries for pediatric patients. The research team looks forward to continuing their exploration in this vital area of healthcare.