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

Inclusion Criteria2

children aged 3-18 years
must be post-surgical laparoscopic appendectomy for complicated appendicitis (Appendicitis is categorized as complicated if perforation, phlegmon, or abscess was present at surgery.)

Exclusion Criteria4

children who are non-ambulatory or have any pre-existing mobility limitations
children who have a doctor-ordered physical activity limit \&amp;amp;gt;48 hours post-surgery
children who have a comorbidity which will impact a patient's recovery
children and/or parents who do not speak English or Spanish (Translation services beyond Spanish will not be available at this time)

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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.