RecruitingNot ApplicableNCT06395636

Early Detection of Infection Using the Fitbit in Pediatric Surgical Patients

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

Sponsor

Ann & Robert H Lurie Children's Hospital of Chicago

Enrollment

500 participants

Start Date

Jan 7, 2025

Study Type

INTERVENTIONAL

Conditions

Appendectomy Appendicitis Appendicitis Acute

Summary

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.

Eligibility

Min Age: 3 YearsMax Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying a medical device called Infection-Prediction Algorithm for people with appendectomy, appendicitis, and other related conditions. The study is currently recruiting participants at 4 locations. People eligible for this study include aged 3 Years to 18 Years.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

DEVICEInfection-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.