Prediction of Rehospitalization Following a Sepsis Admission Using a Wearable Biopatch

Sponsor
University of California, San Diego (Other)
Overall Status
Not yet recruiting
CT.gov ID
NCT05806762
Collaborator
(none)
200
48

Study Details

Study Description

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.

Condition or Disease Intervention/Treatment Phase
  • Device: BioIntellisense

Detailed 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 predictive value (PPV) of readmission prediction as the the primary outcome of interest from the following approaches: analytic score plus biopatch, analytic score alone, LACE+ score. Secondary outcomes include area under the curve of the receiver operator characteristic (AUCroc) of predictive scores (analytic score and biopatch, analytic score alone, LACE+ score) and number of patients readmitted to the hospital within 30 days of discharge.

Protocol for Patient Selection and Application of Biopatch: Patients who meet "Sepsis 3" definition will be identified with institutional review board (IRB)-approved screening protocols. Our previously derived and validated machine-learning algorithm to predict unplanned 30-day readmissions will then generate daily predictions about 30-day readmission probability which will be recorded, as well as LACE+ scores. As a patient approaches discharge, the treatment team and patient (or legally authorized representative) will be approached about potential enrollment. If there is agreement to enroll in this prospective study, then we will apply the patch at the time of discharge. Patients will then be followed with the BioIntellisence patch with augmented and real-time risk predictions based on data obtained from this. For this proposal, we will use data from the BioIntelliSense patch and are not providing clinicians with data on risk of readmission.

Study Design

Study Type:
Observational [Patient Registry]
Anticipated Enrollment :
200 participants
Observational Model:
Cohort
Time Perspective:
Prospective
Official Title:
Prediction of Rehospitalization Following a Sepsis Admission Using a Wearable Biopatch and Deep Learning Model
Anticipated Study Start Date :
May 1, 2023
Anticipated Primary Completion Date :
May 1, 2027
Anticipated Study Completion Date :
May 2, 2027

Arms and Interventions

Arm Intervention/Treatment
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.

Device: BioIntellisense
Enrolled patients will have a BioIntellisense patch applied to their chest. There is no comparator group enrolled.

Outcome Measures

Primary Outcome Measures

  1. Hospital readmission [30 days]

    Patients with an index hospitalization with sepsis will be followed to see if they have an unplanned readmission to the hospital.

Secondary Outcome Measures

  1. Area under the curve of the receiver operating characteristic [30 days]

    AUCroc of predictive scores (analytic score and biopatch, analytic score alone, LACE+ score)

  2. Positive predictive value [30 days]

    PPV of of predictive scores (analytic score and biopatch, analytic score alone, LACE+ score)

Eligibility Criteria

Criteria

Ages Eligible for Study:
18 Years and Older
Sexes Eligible for Study:
All
Accepts 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

Contacts and Locations

Locations

No locations specified.

Sponsors and Collaborators

  • University of California, San Diego

Investigators

None specified.

Study Documents (Full-Text)

None provided.

More Information

Publications

None provided.
Responsible Party:
Gabriel Wardi, Associate Professor, University of California, San Diego
ClinicalTrials.gov Identifier:
NCT05806762
Other Study ID Numbers:
  • Gabriel.Wardi
First Posted:
Apr 10, 2023
Last Update Posted:
Apr 10, 2023
Last Verified:
Mar 1, 2023
Individual Participant Data (IPD) Sharing Statement:
Yes
Plan to Share IPD:
Yes
Studies a U.S. FDA-regulated Drug Product:
No
Studies a U.S. FDA-regulated Device Product:
Yes
Additional relevant MeSH terms:

Study Results

No Results Posted as of Apr 10, 2023