- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05172479
Prognostic Accuracy of qSOFA, SIRS, and EWSs for In-hospital Mortality in Emergency Department (PASSEM)
September 10, 2023 updated by: Abdullah M Algarni, Aseer Central Hospital
Prognostic Accuracy of qSOFA Score, SIRS Criteria, and EWSs for In-hospital Mortality Among Adult Patients Presenting With Suspected Infection to the Emergency Department (PASSEM): Protocol for an International Multicentre Prospective External Validation Cohort Study
Early identification of a patient with infection who may develop sepsis is of utmost importance.
Unfortunately, this remains elusive because no single clinical measure or test can reflect complex pathophysiological changes in patients with sepsis.
However, multiple clinical and laboratory parameters indicate impending sepsis and organ dysfunction.
Screening tools using these parameters can help identify the condition, such as SIRS, quick SOFA (qSOFA), National Early Warning Score (NEWS), or Modified Early Warning Score (MEWS).
The 2016 SCCM/ESICM task force recommended using qSOFA, while the 2021 Surviving Sepsis Campaign strongly recommended against its use compared with SIRS, NEWS, or MEWS as a single screening tool for sepsis or septic shock.
We hypothesised that qSOFA has greater prognostic accuracy than SIRS and EWS (NEWS/NEWS2/MEWS).
Study Overview
Status
Completed
Conditions
Detailed Description
Over the past decade, medical advances in sepsis continued to focus on sepsis as a prevalent condition that accounts for 10% of admissions to intensive care units (ICUs) and is associated with a 10-20% in-hospital mortality rate.
Standardised protocols and physician awareness have significantly improved survival, but mortality rates remain between 20% and 36%, with ~270,000 deaths annually in the United States.
However, of patients with sepsis, 80% are treated in an emergency department (ED), and the remainder develops sepsis during hospitalisation with other conditions.
In 2016, the Society of Critical Care Medicine/European Society of Intensive Care Medicine (SCCM/ESICM) task force redefined sepsis based on organ dysfunction and mortality prediction.
Sepsis now is defined as life-threatening organ dysfunction caused by dysregulated host response to infection.
This definition emphasises the complexity of the disease that cannot be explained by infection or body response to it.
Acute change in Sequential Organ Failure Assessment (SOFA) score ≥2 indicates sepsis-related organ dysfunction, a predictor of excess in-hospital mortality.
Systemic Inflammatory Response Syndrome (SIRS) and "severe sepsis" terms were omitted from the most recent definition.
SIRS has been criticised for its poor specificity, while "severe sepsis" may underestimate sepsis's seriousness.
A subset of patients may develop septic shock with underlying profound organ dysfunction and excess mortality.
Clinically, septic shock is defined as persistent hypotension requiring vasopressors to maintain mean arterial pressure (MAP) ≥ 65 mm Hg and serum lactate level ≥ 2 mmol/L (18 mg/dL) despite adequate volume resuscitation.
Early identification of a patient with infection who may develop sepsis is of utmost importance.
Unfortunately, this remains elusive because no single clinical measure or test can reflect complex pathophysiological changes in patients with sepsis.
However, multiple clinical and laboratory parameters indicate impending sepsis and organ dysfunction.
Screening tools using these parameters can help identify the condition, such as SIRS, quick SOFA (qSOFA), National Early Warning Score (NEWS), or Modified Early Warning Score (MEWS).
The 2016 SCCM/ESICM task force recommended using qSOFA, while the 2021 Surviving Sepsis Campaign strongly recommended against its use compared with SIRS, NEWS, or MEWS as a single screening tool for sepsis or septic shock.
We hypothesised that qSOFA has greater prognostic accuracy than SIRS and EWS (NEWS/NEWS2/MEWS).
Study Type
Observational
Enrollment (Actual)
3274
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Muharraq, Bahrain
- King Hamad University Hospital
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Southern Governorate
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Ar Rifā', Southern Governorate, Bahrain, 947
- Bahrain Defence Force Hospital
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Kuwait, Kuwait
- Amiri Hospital
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Muscat, Oman, 111
- Armed Forces Hospital Oman
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Doha, Qatar
- Hamad Medical Corporation
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Riyadh, Saudi Arabia
- Sulaiman Al-Habib Hospital
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Aseer Province
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Abha, Aseer Province, Saudi Arabia, 62523
- Aseer Central Hospital (ACH)
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Khamis Mushait, Aseer Province, Saudi Arabia, 62413
- Armed Force Hospital Southern Region-Khamis Mushayt (AFHSR-KM)
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Eastern Province
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Dammam, Eastern Province, Saudi Arabia, 32253
- King Fahad Specialist Hospital
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Dhahran, Eastern Province, Saudi Arabia, 34465
- Johns Hopkins Aramco Healthcare
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Jubail, Eastern Province, Saudi Arabia, 31961
- Royal Commission Hospital in Jubail
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Makkah Al Mukarramah Province
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Jeddah, Makkah Al Mukarramah Province, Saudi Arabia, 22252
- King AbdulAziz University Hospital
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Jeddah, Makkah Al Mukarramah Province, Saudi Arabia, 23311
- King Fahd Armed Forces Hospital
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Northern Borders Province
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Arar, Northern Borders Province, Saudi Arabia, 73241
- North Medical Tower
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Riyadh Province
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Riyadh, Riyadh Province, Saudi Arabia, 11564
- King Abdullah bin Abdulaziz University Hospital (KAAUH)
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Riyadh, Riyadh Province, Saudi Arabia, 12231
- King Fahad Medical City (KFMC)
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Riyadh, Riyadh Province, Saudi Arabia, 12746
- King Saud Medical City (KSMC)
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Kocaeli, Turkey, 41380
- Kocaeli University Hospital
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Abu Dhabi, United Arab Emirates
- Sheikh Shakhbout Medical City
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Dubai, United Arab Emirates
- Rashid Hospital
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Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Sampling Method
Probability Sample
Study Population
All consecutive adult patients (age ≥18 years) presenting to the ED with suspected infection who planned to be hospitalized and willing to give informed consent (if required by recruiting center IRB) are eligible.
A presumptive diagnosis of infection will be judged based on the opinion of the emergency physician upon the initial patient presentation to the ED.
We will exclude patients with evidence of other causes of presentation to the ED other than infection (e.g., autoimmune diseases, myocardial infarction, trauma, …etc.), pregnant ladies, those who transferred from other hospitals, those not planned for hospitalization, or those who admitted electively to the hospital through ED.
We will also exclude patients whose initial diagnosis of infection in the ED was not confirmed after the recruitment and follow-up.
Description
Inclusion Criteria:
- Adult patients (age ≥18 years),
- Suspected infection (based on the opinion of the emergency physician),
- Planned for hospitalization,
- Willing to give oral informed consent (if required by recruiting center's IRB).
Exclusion Criteria:
- Presentation to ED is not due to infection (e.g., autoimmune diseases, myocardial infarction, stroke, venous thromboembolism, trauma, intoxication … etc.),
- Pregnancy,
- Transferred from another hospitals,
- Code status is "Do-Not-Resuscitate" (DNR)
- Elective admission through ED
- Initial diagnosis of infection in the ED was not confirmed after finishing of the recruitment and follow-up phase.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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Positive qSOFA
Adult patients with suspected infection and a qSOFA score ≥ 2 at the triage in the ED who are planned for hospitalization
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At the patient's arrival to the ED triage, the nurse will enter the patient's vital signs data into electronic data capture (EDC) system that will calculate the patient's qSOFA score.
Other Names:
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Negative qSOFA
Adult patients with suspected infection and a qSOFA score < 2 at the triage in the ED who are planned for hospitalization
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At the patient's arrival to the ED triage, the nurse will enter the patient's vital signs data into electronic data capture (EDC) system that will calculate the patient's qSOFA score.
Other Names:
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|
Positive SIRS
Adult patients with suspected infection and a SIRS criteria ≥ 2 at the triage in the ED who are planned for hospitalization
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At the patient's arrival to the ED triage, the nurse will enter the patient's vital signs data into electronic data capture (EDC) system that will calculate the patient's SIRS criteria.
Other Names:
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Negative SIRS
Adult patients with suspected infection and a SIRS criteria < 2 at the triage in the ED who are planned for hospitalization
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At the patient's arrival to the ED triage, the nurse will enter the patient's vital signs data into electronic data capture (EDC) system that will calculate the patient's SIRS criteria.
Other Names:
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Positive NEWS
Adult patients with suspected infection and a NEWS ≥ 5 or red score (i.e., a score of 3 in any one parameter) at the triage in the ED who are planned for hospitalization
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At the patient's arrival to the ED triage, the nurse will enter the patient's vital signs data into electronic data capture (EDC) system that will calculate the patient's NEWS.
Other Names:
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Negative NEWS
Adult patients with suspected infection and a NEWS < 5 at the triage in the ED who are planned for hospitalization
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At the patient's arrival to the ED triage, the nurse will enter the patient's vital signs data into electronic data capture (EDC) system that will calculate the patient's NEWS.
Other Names:
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Positive NEWS2
Adult patients with suspected infection and a NEWS2 ≥ 5 or red score (i.e., a score of 3 in any one parameter) at the triage in the ED who are planned for hospitalization
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At the patient's arrival to the ED triage, the nurse will enter the patient's vital signs data into electronic data capture (EDC) system that will calculate the patient's NEWS2.
Other Names:
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Negative NEWS2
Adult patients with suspected infection and a NEWS2 < 5 at the triage in the ED who are planned for hospitalization
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At the patient's arrival to the ED triage, the nurse will enter the patient's vital signs data into electronic data capture (EDC) system that will calculate the patient's NEWS2.
Other Names:
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Positive MEWS
Adult patients with suspected infection and a MEWS ≥ 5 at the triage in the ED who are planned for hospitalization
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At the patient's arrival to the ED triage, the nurse will enter the patient's vital signs data into electronic data capture (EDC) system that will calculate the patient's MEWS.
Other Names:
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Negative MEWS
Adult patients with suspected infection and a MEWS < 5 at the triage in the ED who are planned for hospitalization
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At the patient's arrival to the ED triage, the nurse will enter the patient's vital signs data into electronic data capture (EDC) system that will calculate the patient's MEWS.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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In-hospital mortality
Time Frame: 30 days
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Mortality rate during hospitalization of patient
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30 days
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Intensive care unit admission
Time Frame: 30 days
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Number of participants admitted to an intensive care unit
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30 days
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Length of stay in the intensive care unit
Time Frame: 30 days
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Stay in intensive care unit >72 hours
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30 days
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Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Abdullah M Algarni, MBBS, Aseer Central Hospital (ACH)
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Algarni AM, Alfaifi MS, Bshabshe AAA, et al. Prognostic accuracy of qSOFA score, SIRS criteria, and EWSs for in-hospital mortality among adult patients presenting with suspected infection to the emergency department (PASSEM): protocol for an international multicentre prospective external validation cohort study. medRxiv. 2022.2019.22272537.
Helpful Links
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
December 12, 2021
Primary Completion (Actual)
September 11, 2023
Study Completion (Actual)
September 11, 2023
Study Registration Dates
First Submitted
December 3, 2021
First Submitted That Met QC Criteria
December 11, 2021
First Posted (Actual)
December 29, 2021
Study Record Updates
Last Update Posted (Actual)
September 13, 2023
Last Update Submitted That Met QC Criteria
September 10, 2023
Last Verified
September 1, 2023
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- ACH-2
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
UNDECIDED
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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