Sepsis Clinical Trial
Official title:
Discharge Readmission Analysis and Management in Sepsis (DReAMS-2): Augmenting Readmission Risk Models With Smartphone PPG Signals and Deep Learning, an Adaptive Platform
NCT number | NCT06099756 |
Other study ID # | DReAMS-2 |
Secondary ID | |
Status | Recruiting |
Phase | |
First received | |
Last updated | |
Start date | October 26, 2023 |
Est. completion date | October 2024 |
This is an adaptive platform. This study is being done to collect information that will help us identify trends in patients with sepsis and other health conditions being readmitted into hospitals within 30 days of being discharged. This information will be used to create a computer tool that will help predict a patient's risk of being readmitted into the hospital after being discharged. Participants will allow the study team to follow their health after they are discharged by taking their temperature once a day and placing their index finger over their smartphone camera when prompted by a text message. Participants will receive the text messages twice a day. When the participant receives the text message, they will click on the link and follow the instructions. Instructions include how to long to keep your finger on your phone camera and how to report your daily temperature. Additional questions will also be asked. After 30 days, the text messages will stop, and participation will be complete.
Status | Recruiting |
Enrollment | 2000 |
Est. completion date | October 2024 |
Est. primary completion date | October 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 100 Years |
Eligibility | Inclusion Criteria: - Age 18 years or older - Admitted to the hospital for 48 hours or greater - Admitted with an index diagnoses of sepsis. We defined sepsis based on the 2018 Centers for Disease Control and Prevention's Adult Sepsis Event (ASE). [1] A subject must have an order for blood cultures, at least 4 qualifying antimicrobial days AND Evidence of at least 1 end organ dysfunction (new vasopressors, initiation of mechanical ventilation, doubling of serum creatinine (or GFR reduction by 50%), total bilirubin = 2.0 mg/dl, an increase by 100% from baseline, platelet count < 100 cells/ul, and lactate = 2.0. - The adaptive design will allow the expansion into additional index hospitalization diagnosis (for example, heart failure exacerbation, sickle cell crises, COPD exacerbation, hip fractures, pneumonia, post surgical patients, diabetes mellitus) Exclusion Criteria: - Imminent death or anticipated death during index admission (to include comfort care or hospice) - Patients due to be transferred to another acute care facility - Participants not proficient with written and spoken English. - Participants who do not have a smartphone and valid mobile number to receive text messages. - Participants leaving the hospital against medical advice. - Participants with essential tremor. - Participants deemed non-compliant or not suitable for the study due to cognitive impairment or serious mental health conditions as determined by the Principal Investigator. - Participants unable to independently navigate and operate smartphone applications. - Participants with diminished decision-making capability. - Participants likely to not be available to complete all protocol-required procedures (e.g., Clinical Outcome Assessments) to the best of the subject and investigator's knowledge. - Participants with history or evidence of any other clinically significant disorder, condition or disease (with the exception of those outlined above) that, in the opinion of the investigator or study team, if consulted, would pose a risk to subject safety or interfere with the study evaluation, procedures or completion - Vulnerable Subjects, this study will not enroll children < 18 years of age, pregnant women, or prisoners. |
Country | Name | City | State |
---|---|---|---|
United States | Duke Regional Hospital | Durham | North Carolina |
United States | Duke University Hospital | Durham | North Carolina |
United States | Duke Raleigh Hospital | Raleigh | North Carolina |
Lead Sponsor | Collaborator |
---|---|
Measure Labs, Inc. | Duke University |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Unplanned readmissions | Number of unplanned readmissions in 30 days | From discharge date to 30, 60, 90 days post discharge | |
Secondary | All cause mortality | Rate of mortality for any reason for 30 days after discharge | Date of discharge to 30, 60, 90 days post discharge | |
Secondary | Emergency Department Visits | Number of emergency department visits after discharge | Date of discharge to 30, 60, 90 days post discharge |
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