Early Detection of Infection Using the Fitbit in Pediatric Surgical Patients

NARecruitingINTERVENTIONAL
Enrollment

500

Participants

Timeline

Start Date

January 7, 2025

Primary Completion Date

January 1, 2027

Study Completion Date

July 31, 2027

Conditions
AppendectomyAppendicitisAppendicitis Acute
Interventions
DEVICE

Infection-Prediction Algorithm

This machine learning algorithm will be developed(Aim1a) and validated(Aim 1b) using the participant Fitbit data and survey results collected during Aim 1. In Aim 2 the algorithm will be used in real time to predict postoperative infection.

Trial Locations (4)

60153

NOT_YET_RECRUITING

Loyola University Medical Center, Maywood

60190

RECRUITING

Northwestern Medicine Central DuPage Hospital, Winfield

60611

RECRUITING

Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago

NOT_YET_RECRUITING

Northwestern University (Feinberg School of Medicine, Shirley Ryan AbilityLab), Chicago

All Listed Sponsors
collaborator

Northwestern University

OTHER

collaborator

Central DuPage Hospital

OTHER

collaborator

University of Chicago

OTHER

collaborator

Loyola University Chicago

OTHER

lead

Ann & Robert H Lurie Children's Hospital of Chicago

OTHER