Actively Recruiting
Early Detection of Infection Using the Fitbit in Pediatric Surgical Patients
Led by Ann & Robert H Lurie Children's Hospital of Chicago · Updated on 2026-05-13
500
Participants Needed
4
Research Sites
129 weeks
Total Duration
On this page
Sponsors
A
Ann & Robert H Lurie Children's Hospital of Chicago
Lead Sponsor
N
Northwestern University
Collaborating Sponsor
AI-Summary
What this Trial Is About
The purpose of this study is to analyze Fitbit data to predict infection after surgery for complicated appendicitis and the effect this prediction has on clinician decision making.
CONDITIONS
Official Title
Early Detection of Infection Using the Fitbit in Pediatric Surgical Patients
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Children aged 3 to 18 years
- Must have had laparoscopic appendectomy surgery for complicated appendicitis (perforation, phlegmon, or abscess present at surgery)
You will not qualify if you...
- Children who cannot walk or have pre-existing mobility limitations
- Children with a doctor-ordered physical activity restriction lasting more than 48 hours after surgery
- Children with medical conditions that could affect recovery
- Children and/or parents who do not speak English or Spanish (no other translation services available)
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 4 locations
1
Ann & Robert H. Lurie Children's Hospital of Chicago
Chicago, Illinois, United States, 60611
Actively Recruiting
2
Northwestern University (Feinberg School of Medicine, Shirley Ryan AbilityLab)
Chicago, Illinois, United States, 60611
Not Yet Recruiting
3
Loyola University Medical Center
Maywood, Illinois, United States, 60153
Not Yet Recruiting
4
Northwestern Medicine Central DuPage Hospital
Winfield, Illinois, United States, 60190
Actively Recruiting
Research Team
F
Fizan Abdullah, MD, PhD
CONTACT
A
Arianna Edobor, CRC
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
NON_RANDOMIZED
Model
SEQUENTIAL
Primary Purpose
DIAGNOSTIC
Number of Arms
2
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