Prediction of Rehospitalization Following a Sepsis Admission Using a Wearable Biopatch
1 other identifier
observational
200
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started May 2023
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
March 28, 2023
CompletedFirst Posted
Study publicly available on registry
April 10, 2023
CompletedStudy Start
First participant enrolled
May 1, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 1, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
May 2, 2027
April 3, 2024
April 1, 2024
4 years
March 28, 2023
April 1, 2024
Conditions
Outcome Measures
Primary Outcomes (1)
Hospital readmission
Patients with an index hospitalization with sepsis will be followed to see if they have an unplanned readmission to the hospital.
30 days
Secondary Outcomes (2)
Area under the curve of the receiver operating characteristic
30 days
Positive predictive value
30 days
Study Arms (1)
Sepsis Patients Discharged From the Hospital
We aim to apply a wearable biopatch to sepsis patients discharged from the hospital to determine if the additional data afforded by the biopatch can improve prediction of readmissions.
Interventions
Enrolled patients will have a Fitbit placed on their wrist. There is no comparator group enrolled.
Eligibility Criteria
All patients admitted to the hospital from the emergency department at UC San Diego who have sepsis are eligible if they meet appropriate inclusion criteria. After screening is completed, possible subjects will be approached by the study team for enrollment.
You may qualify if:
- 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
You may not qualify if:
- 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
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
UC San Diego Health
San Diego, California, 92103, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Shamim Nemati
CONTACT
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 30 Days
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
March 28, 2023
First Posted
April 10, 2023
Study Start
May 1, 2023
Primary Completion (Estimated)
May 1, 2027
Study Completion (Estimated)
May 2, 2027
Last Updated
April 3, 2024
Record last verified: 2024-04
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ANALYTIC CODE
- Time Frame
- 5 years
- Access Criteria
- Available upon reasonable request.
Data abstracted from the BioIntellisense biopatch will be shared with my K23 mentorship team as well trainees that are working with me on this project. All study members will be listed on the IRB. De-identified data may be shared with other researchers.