UMMS Sepsis Early Prediction Score (SEPSys) and RESCUE Score Combined Clinical Trial
NCT ID: NCT06779617
Last Updated: 2025-10-06
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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NOT_YET_RECRUITING
NA
150000 participants
INTERVENTIONAL
2026-04-01
2027-06-30
Brief Summary
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Detailed Description
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The first risk score, the RESCUE Score, produces a highly accurate 1-4 color-coded risk score where a 1 indicates that a patient has a low risk of having a deterioration event in the next four hours and a 4 indicates that the patient has a high risk of having a deterioration event in the next four hours. The second risk score, the SEPSys Score, produces a highly accurate 1-4 color coded risk score where 1 indicates that a patient has a low risk of developing sepsis in the next 4 hours and a 4 indicates that the patient has a high risk of developing sepsis in the next 4 hours. Both of these scores are predictive of events that may happen in the future but are not detective or diagnostic of events that are actively occurring.
In this study, hospitals will be randomized for the order in which they cross-over from the control arm (no risk score) to either having the SEPSys or RESCUE Score visible for their inpatients. After a few months with an individual risk score, the second risk score will be added. Thus, at the beginning of the study, no hospitals with have the new risk scores available, for a period in the middle of the study each hospital will have one risk score available, and by the end of the study all hospitals will have both risk scores available. Regardless of which risk scores are available, the clinicians will be free to recommend treatments and implement care plans using their own judgement. No procedures impacting patient care will be specified for this study.
Conditions
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Study Design
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RANDOMIZED
FACTORIAL
HEALTH_SERVICES_RESEARCH
SINGLE
Study Groups
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SEPSys
Cluster has SEPSys Score only
SEPSys
The SEPSys Score is a clinical decision support tool for predicting the risk of developing sepsis in the next 4 hours. The SEPSys Score produces a 1-4, color-coded risk, where 4 (red) is the highest risk and 1 (green) is the lowest risk.
RESCUE
Cluster has RESCUE Score only
RESCUE
The RESCUE Score is a clinical decision support tool for predicting the risk of patient experiencing clinical deterioration (cardiac arrest, rapid response team call, death, or unplanned increase in care) in the next 4 hours. The RESCUE Score produces a 1-4, color-coded risk, where 4 (red) is the highest risk and 1 (green) is the lowest risk.
SEPSys+RESCUE
Cluster has both SEPSys \& RESCUE Scores
SEPSys
The SEPSys Score is a clinical decision support tool for predicting the risk of developing sepsis in the next 4 hours. The SEPSys Score produces a 1-4, color-coded risk, where 4 (red) is the highest risk and 1 (green) is the lowest risk.
RESCUE
The RESCUE Score is a clinical decision support tool for predicting the risk of patient experiencing clinical deterioration (cardiac arrest, rapid response team call, death, or unplanned increase in care) in the next 4 hours. The RESCUE Score produces a 1-4, color-coded risk, where 4 (red) is the highest risk and 1 (green) is the lowest risk.
Baseline
Cluster has neither SEPSys nor RESCUE
No interventions assigned to this group
Interventions
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SEPSys
The SEPSys Score is a clinical decision support tool for predicting the risk of developing sepsis in the next 4 hours. The SEPSys Score produces a 1-4, color-coded risk, where 4 (red) is the highest risk and 1 (green) is the lowest risk.
RESCUE
The RESCUE Score is a clinical decision support tool for predicting the risk of patient experiencing clinical deterioration (cardiac arrest, rapid response team call, death, or unplanned increase in care) in the next 4 hours. The RESCUE Score produces a 1-4, color-coded risk, where 4 (red) is the highest risk and 1 (green) is the lowest risk.
Eligibility Criteria
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Inclusion Criteria
* Units treat inpatient patients
* Units agree to participate in the study
* Encounter is on a participating inpatient unit
* Encounter is associated with a bedded patient in the hospital
* Encounter is associated with an adult (at least 18 years of age at time of admission)
• Encounter has a SEPSys Score
• Encounter has a RESCUE Score
Exclusion Criteria
* Unit treats primarily or exclusively pediatric patients (patients under the age of 18 years old)
* Unit treats exclusively psychiatric patients
* Encounter is with OB for a normal delivery and the patient has yet to give birth. This encounter can become eligible once the patient has given birth.
* Encounter is admitted with a diagnosis of sepsis
* Sepsis was already diagnosed during the encounter
This encounter will have been eligible until the patient began showing clinical signs or symptoms of sepsis or received a diagnosis of sepsis. Once they have a diagnosis or clinical signs or symptoms of sepsis, their SEPSys Score will no longer be updated. Data will continue to be collected on time of laboratory orders and treatments.
• Encounter is admitted with a high RESCUE Score (RESCUE Score of 4)
18 Years
ALL
No
Sponsors
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University of Maryland, Baltimore
OTHER
Responsible Party
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Samuel Tisherman
Professor, Department of Surgery and the Program in Trauma
Locations
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University of Maryland Medical Center - Midtown
Baltimore, Maryland, United States
University of Maryland Medical Center
Baltimore, Maryland, United States
University of Maryland Upper Chesapeake Medical Center
Bel Air, Maryland, United States
University of Maryland Shore Medical Center
Easton, Maryland, United States
University of Maryland Baltimore Washington Medical Center
Glen Burnie, Maryland, United States
University of Maryland Charles Regional Medical Center
La Plata, Maryland, United States
University of Maryland Capital Region Medical Center
Largo, Maryland, United States
University of Maryland St. Joseph Medical Center
Towson, Maryland, United States
Countries
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Central Contacts
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Other Identifiers
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HP-00109072
Identifier Type: -
Identifier Source: org_study_id
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