Rest-activity rhythmicity as digital biomarkers of postoperative recovery and complications in children

Michela Carter1, Rui Hua2,3, Megan K O'Brien3,4

  • 1Division of Pediatric Surgery, Department of Surgery, Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.

Digital Health
|July 6, 2026
PubMed

Insights

Consumer wearables can track children's circadian rhythms after surgery. Distinct rest-activity rhythmicity (RAR) patterns in children with and without complications suggest RAR metrics are useful digital biomarkers for recovery.

Area of Science:

  • Pediatric surgery
  • Circadian biology
  • Digital health

Background:

  • Surgery and postoperative complications disrupt children's natural circadian rhythms.
  • Measuring these rhythms is crucial for understanding recovery but lacks practical clinical tools.

Purpose of the Study:

  • To investigate the feasibility of using consumer wearable devices to monitor circadian rhythms in children post-appendectomy.
  • To identify distinct rest-activity rhythmicity (RAR) patterns between children with and without postoperative complications.

Main Methods:

  • Children aged 3-18 undergoing appendectomy used a Fitbit for 21 days post-operation.
  • Three novel RAR metrics were calculated: 24-hour activity rhythm periodicity and amplitude, and 24-hour heart rate (HR) rhythm circadian quotient.
  • RAR trajectories were compared between patients with and without complications.

Main Results:

  • Ninety-four patients were analyzed; 13 experienced complications.
  • In uncomplicated cases, RAR metrics plateaued between postoperative days 11-20.
  • Children with complications showed increased RAR metrics but no plateau within the study period.

Conclusions:

  • Wearable-derived circadian rhythm data show different RAR metric patterns in children with and without postoperative complications.
  • RAR metrics derived from wearables show potential as digital biomarkers for tracking pediatric recovery and detecting complications.
Abstract