RECRUITING

Early Detection of Infection Using the Fitbit in Pediatric Surgical Patients

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Conditions

AppendectomyAppendicitisAppendicitis Acuteconsumer wearablesmachine learningMLFitbitinfectiondetectionalgorithmprediction

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Study Overview

This clinical trial focuses on testing the efficacy of different digital interventions to promote re-engagement in cancer-related long-term follow-up care for adolescent and young adult (AYA) survivors of childhood cancer.

Description

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.

Official Title

Using the Fitbit for Early Detection of Infection and Reduction of Healthcare Utilization After Discharge in Pediatric Surgical Patients

Quick Facts

Study Start:2025-01-07
Study Completion:2027-07-31
Study Type:Not specified
Phase:Not Applicable
Enrollment:Not specified
Status:RECRUITING

Study ID

NCT06395636

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Ages Eligible for Study:3 Years to 18 Years
Sexes Eligible for Study:ALL
Accepts Healthy Volunteers:No
Standard Ages:CHILD, ADULT
Inclusion CriteriaExclusion Criteria
  1. * children aged 3-18 years
  2. * must be post-surgical laparoscopic appendectomy for complicated appendicitis (Appendicitis is categorized as complicated if perforation, phlegmon, or abscess was present at surgery.)
  1. * children who are non-ambulatory or have any pre-existing mobility limitations
  2. * children who have a doctor-ordered physical activity limit \>48 hours post-surgery
  3. * children who have a comorbidity which will impact a patient's recovery
  4. * children and/or parents who do not speak English or Spanish (Translation services beyond Spanish will not be available at this time)

Contacts and Locations

Study Contact

Fizan Abdullah, MD, PhD
CONTACT
312-227-4210
fabdullah@luriechildrens.org
Arianna Edobor, CRC
CONTACT
312-227-2118
idetect@luriechildrens.org

Principal Investigator

Fizan Abdullah, MD, PhD
PRINCIPAL_INVESTIGATOR
Ann & Robert H Lurie Children's Hospital of Chicago
Hassan Ghomrawi, PhD, MPH
PRINCIPAL_INVESTIGATOR
University of Alabama at Birmingham
Arun Jayaraman, PT, PhD
PRINCIPAL_INVESTIGATOR
Shirley Ryan AbilityLab

Study Locations (Sites)

Ann & Robert H. Lurie Children's Hospital of Chicago
Chicago, Illinois, 60611
United States
Northwestern University (Feinberg School of Medicine, Shirley Ryan AbilityLab)
Chicago, Illinois, 60611
United States
Loyola University Medical Center
Maywood, Illinois, 60153
United States
Northwestern Medicine Central DuPage Hospital
Winfield, Illinois, 60190
United States

Collaborators and Investigators

Sponsor: Ann & Robert H Lurie Children's Hospital of Chicago

  • Fizan Abdullah, MD, PhD, PRINCIPAL_INVESTIGATOR, Ann & Robert H Lurie Children's Hospital of Chicago
  • Hassan Ghomrawi, PhD, MPH, PRINCIPAL_INVESTIGATOR, University of Alabama at Birmingham
  • Arun Jayaraman, PT, PhD, PRINCIPAL_INVESTIGATOR, Shirley Ryan AbilityLab

Study Record Dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Registration Dates

Study Start Date2025-01-07
Study Completion Date2027-07-31

Study Record Updates

Study Start Date2025-01-07
Study Completion Date2027-07-31

Terms related to this study

Keywords Provided by Researchers

  • consumer wearables
  • machine learning
  • ML
  • Fitbit
  • infection
  • detection
  • algorithm
  • prediction

Additional Relevant MeSH Terms

  • Appendectomy
  • Appendicitis
  • Appendicitis Acute