Using a wearable biopatch to predict readmissions after sepsis
Official title: Prediction of Rehospitalization Following a Sepsis Admission Using a Wearable Biopatch and Deep Learning Model
Run by University of California, San Diego · NCT05806762 · Data updated 2026-11-12
This study is testing if a wearable patch can help predict which patients discharged after sepsis might need to go back to the hospital within 30 days.
Quick facts
| Study type | Observational |
|---|---|
| Ages | 18 Years and up |
| Sex | All |
| Enrollment | 200 (estimated) |
| Sponsor | University of California, San Diego Academic / other |
| Locations | 1 site (San Diego, California) |
| Status | Recruiting |
| Started | May 1, 2023 |
| Main results expected | May 1, 2027 |
| Study ends | May 2, 2027 |
| Registry record updated | April 3, 2024 |
| Trial ID | NCT05806762 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates are adults aged 18 and older who have been diagnosed with sepsis during their hospital stay.
✕Probably not a fit
Patients who are transitioning to comfort measures or have severe dermatologic conditions that prevent the application of the biopatch will not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This observational study aims to evaluate the effectiveness of a wearable biopatch in predicting 30-day readmissions for patients discharged after a sepsis hospitalization. Participants will wear the BioIntelliSense patch, which monitors vital signs and activity levels for 30 days post-discharge. The study will analyze the predictive accuracy of the biopatch in conjunction with existing analytic scores to determine its utility in preventing unplanned readmissions. Data collected will include heart rate, respiratory rate, and other health metrics to enhance prediction models.
Why it matters
Potential benefit: If successful, this approach could significantly reduce the rate of unplanned hospital readmissions for sepsis patients, improving patient outcomes and healthcare efficiency.
How similar studies have gone: While the use of wearable technology in healthcare is growing, this specific application for predicting sepsis readmissions is novel and has not been extensively tested in prior studies.
Who can join: the full rules
Show full inclusion / exclusion criteria
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
Where it's running
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UC San Diego Health
San Diego, California, United States Recruiting
Study contacts
- Study coordinator: Gabriel Wardi
- Email: gwardi@health.ucsd.edu
- Phone: 6195436463
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.