Prediction of Rehospitalization Following a Sepsis Admission Using a Wearable Biopatch and Deep Learning Model
University of California, San Diego
Summary
The goal of this observational study is to learn about the utility of biopatches predicting 30-day readmissions in patients discharged from the hospital with sepsis. The main question\[s\] it aims to answer are: • Does the application of a biopatch provide data that can improve prediction of an unplanned 30-day readmission following a hospitalization for sepsis. Participants will be asked to wear a biopatch on their chest for 30-days following hospital discharge or until readmission to the hospital.
Description
Study Design: Longitudinal cohort study with repeated measure of outcomes and predictors. The BioIntelliSense patch is an FDA approved wearable device that is applied to the chest with a 30-day battery lifespan and allows for real-time monitoring of heart rate, respiratory rate, skin temperature, general activity, severe cough episodes, and sedentary body position, among others. Outcomes of Interest: Hospital readmission within 30 days of discharge following an index admission with a diagnosis of sepsis is the primary outcome of interest for this study. We will calculate the positive predict…
Eligibility
- Age range
- 18+ years
- Sex
- All
- Healthy volunteers
- No
Inclusion Criteria: Age \>= 18 years Development of sepsis, defined by recent international guidelines (Suspected infection AND 2-point change in sequential organ failure assessment (SOFA) score), in emergency department or hospital Admission to hospital from emergency department Exclusion Criteria: Transition to comfort measures within 6 hours of time of sepsis Discharge from the emergency department Admission to bone marrow transplant service Severe burn or other dermatologic condition that will prevent application to skin
Interventions
- DeviceBioIntellisense
Enrolled patients will have a Fitbit placed on their wrist. There is no comparator group enrolled.
Location
- UC San Diego HealthSan Diego, California