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CompletedNCT05172479PASSEMUpdated Sep 13, 2023

Prognostic Accuracy of qSOFA, SIRS, and EWSs for In-hospital Mortality in Emergency Department

An observational study in Sepsis and Septic Shock, sponsored by Aseer Central Hospital. Completed at 20 sites in 7 countries. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2023-09-13.

Primary conditionShock, SepticRegistry: SepsisReclassifiedWhy we changed it
Registry
Sepsis — the first condition term the registry derived for this study.
ClinicalTrials.gg
Shock, Septic
Why
  1. The study's listed conditions name Shock, Septic, a narrower term within Sepsis.
Confidence
High: the new condition is named in the study's own listed conditions. Of 351 hand-checked studies reclassified this way, 68% were exactly right and 84% in the right disease family; the registry's first term was right for 5% (measured 2026-10-21). How we classify →
Wrong?
Tell us the study's main condition →

Sponsored by Aseer Central Hospital · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
3,274
Ages
18 Years and older
Sex
All
01

Study summary

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).

Read the 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).

02

Conditions studied

  • Sepsis
  • Septic Shock

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Keywords

  • Sepsis
  • Septic shock
  • qSOFA
  • SIRS
  • EWS
  • NEWS
  • NEWS2
  • MEWS
  • Emergency department
03

In context

Shock, Septic Reclassified

1,078 studies on the registry are indexed under Shock, Septic; 232 are open to participants now.

This study's enrollment of 3,274 is above the median of 108 across 406 observational studies indexed under Shock, Septic.

Browse Shock, Septic studies →

Lead sponsor

Aseer Central Hospital is the lead sponsor of 2 studies on the registry; none are open to participants now.

Compared within Shock, Septic, this study's primary condition as ClinicalTrials.gg classifies it; the registry's first condition term is Sepsis. The counts are of registry records indexed under each term, refreshed daily. How we classify →

04

Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
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.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  1. Adult patients (age ≥18 years),
  2. Suspected infection (based on the opinion of the emergency physician),
  3. Planned for hospitalization,
  4. Willing to give oral (if required by recruiting center's IRB).

Exclusion criteria

Exclusion Criteria:

  1. Presentation to ED is not due to infection (e.g., diseases, myocardial infarction, stroke, venous thromboembolism, trauma, intoxication ... etc.),
  2. Pregnancy,
  3. Transferred from another hospitals,
  4. Code status is "Do-Not-Resuscitate" (DNR)
  5. Elective admission through ED
  6. Initial diagnosis of infection in the ED was not confirmed after finishing of the recruitment and follow-up phase.
Terms in these criteria, in plain language(2)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

Autoimmune disease

A condition in which the immune system attacks the body’s own tissues, such as rheumatoid arthritis, lupus, psoriasis, type 1 diabetes or inflammatory bowel disease.

Immunotherapy studies often leave out active autoimmune disease, and some name exceptions, such as thyroid disease on replacement hormone. Check the exceptions this study lists.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
3,274 participants (actual)
Patient registry
No

Groups and cohorts

  • Positive qSOFA

    Adult patients with suspected infection and a qSOFA score ≥ 2 at the triage in the ED who are planned for hospitalization

    Diagnostic Test: Measurement of qSOFA score

  • Negative qSOFA

    Adult patients with suspected infection and a qSOFA score \< 2 at the triage in the ED who are planned for hospitalization

    Diagnostic Test: Measurement of qSOFA score

  • Positive SIRS

    Adult patients with suspected infection and a SIRS criteria ≥ 2 at the triage in the ED who are planned for hospitalization

    Diagnostic Test: Measurement of SIRS criteria

  • Negative SIRS

    Adult patients with suspected infection and a SIRS criteria \< 2 at the triage in the ED who are planned for hospitalization

    Diagnostic Test: Measurement of SIRS criteria

  • 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

    Diagnostic Test: Measurement of NEWS

  • Negative NEWS

    Adult patients with suspected infection and a NEWS \< 5 at the triage in the ED who are planned for hospitalization

    Diagnostic Test: Measurement of NEWS

  • 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

    Diagnostic Test: Measurement of NEWS2

  • Negative NEWS2

    Adult patients with suspected infection and a NEWS2 \< 5 at the triage in the ED who are planned for hospitalization

    Diagnostic Test: Measurement of NEWS2

  • Positive MEWS

    Adult patients with suspected infection and a MEWS ≥ 5 at the triage in the ED who are planned for hospitalization

    Diagnostic Test: Measurement of MEWS

  • Negative MEWS

    Adult patients with suspected infection and a MEWS \< 5 at the triage in the ED who are planned for hospitalization

    Diagnostic Test: Measurement of MEWS

Interventions

  • Diagnostic testMeasurement of qSOFA score

    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.

    Also known as: quick Sequential Organ Failure Assessment (qSOFA)

  • Diagnostic testMeasurement of SIRS criteria

    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.

    Also known as: Systemic inflammatory response syndrome (SIRS)

  • Diagnostic testMeasurement of NEWS

    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.

    Also known as: National Early Warning Score (NEWS)

  • Diagnostic testMeasurement of NEWS2

    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.

    Also known as: National Early Warning Score 2 (NEWS2)

  • Diagnostic testMeasurement of MEWS

    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.

    Also known as: Modified Early Warning Score (MEWS)

06

What researchers measure

Primary outcomes

  1. In-hospital mortality

    Mortality rate during hospitalization of patient

    Time frame: 30 days

Secondary outcomes

  1. Intensive care unit admission

    Number of participants admitted to an intensive care unit

    Time frame: 30 days

  2. Length of stay in the intensive care unit

    Stay in intensive care unit \>72 hours

    Time frame: 30 days

07

Study locations

20 sites
  • Bahrain Defence Force Hospital
    Ar Rifā', Southern Governorate 947, Bahrain
  • King Hamad University Hospital
    Muharraq, Bahrain
  • Amiri Hospital
    Kuwait, Kuwait
  • Armed Forces Hospital Oman
    Muscat, 111, Oman
  • Hamad Medical Corporation
    Doha, Qatar
  • Aseer Central Hospital (ACH)
    Abha, Aseer Province 62523, Saudi Arabia
  • Armed Force Hospital Southern Region-Khamis Mushayt (AFHSR-KM)
    Khamis Mushait, Aseer Province 62413, Saudi Arabia
  • King Fahad Specialist Hospital
    Dammam, Eastern Province 32253, Saudi Arabia
  • Johns Hopkins Aramco Healthcare
    Dhahran, Eastern Province 34465, Saudi Arabia
  • Royal Commission Hospital in Jubail
    Jubail, Eastern Province 31961, Saudi Arabia
  • King Abdulaziz University Hospital
    Jeddah, Makkah Al Mukarramah Province 22252, Saudi Arabia
  • King Fahd Armed Forces Hospital
    Jeddah, Makkah Al Mukarramah Province 23311, Saudi Arabia
  • North Medical Tower
    Arar, Northern Borders Province 73241, Saudi Arabia
  • King Abdullah bin Abdulaziz University Hospital (KAAUH)
    Riyadh, Riyadh Province 11564, Saudi Arabia
  • King Fahad Medical City (KFMC)
    Riyadh, Riyadh Province 12231, Saudi Arabia
  • King Saud Medical City (KSMC)
    Riyadh, Riyadh Province 12746, Saudi Arabia
  • Sulaiman Al-Habib Hospital
    Riyadh, Saudi Arabia
  • Kocaeli University Hospital
    Kocaeli, 41380, Turkey
  • Sheikh Shakhbout Medical City
    Abu Dhabi, United Arab Emirates
  • Rashid Hospital
    Dubai, United Arab Emirates
08

References and documents

Publications

  • Algarni AM, Alfaifi MS, Al Bshabshe AA, Omair OM, Alsultan MA, Alzahrani HM, Alali HE, Alsabaani AA, Alqarni AM, Alghanem SA, Al Mufareh BS, Almemari AM, Sindi AA, Ozturan IU, Alhadhira AA, Shujaa AS, Alotaibi AH, Awladthani MM, Alsaad AA, Almarshed AA, AlQahtani AM, Harris TR, Alyahya BA, Assiri SA, Abuzeyad FH, Kazim SN, Al-Fares AA, Almazroua FY, Marzook NT, Basri AA, Elsafti AM, Alalshaikh AS, Ozturan CA, Alawad YI, AlOmari A, Alkhateeb MA, Farooq MM, AlMutairi LA, Alasfour MM, Al Haber MI, Umar UA, Bokhary NH, Alqahtani SF, Almutairi A, Alyahya HF, Alzahrani WS, Alsalmi F, Omair AM, Alasmari FM, Alfifi SY, Al-Nujimi MS, Foroutan F. 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) Multicenter prospective external validation cohort study protocol. PLoS One. 2024 Jan 17;19(1):e0281208. doi: 10.1371/journal.pone.0281208. eCollection 2024. PubMed 38232095 ↗

Individual participant data

Plan to share: Undecided

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Sep 13, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT05172479
Lead sponsor
Aseer Central Hospital
Collaborators
Armed Force Hospital Southern Region-Khamis Mushayt (AFHSR-KM), King Khalid University (KKU)
Responsible party
Abdullah M Algarni (Family medicine consultant, Aseer Central Hospital) — Principal investigator
First posted
Dec 29, 2021
Start date
Dec 12, 2021
Primary completion
Sep 11, 2023
Completion
Sep 11, 2023
Last update
Sep 13, 2023

Study contacts

Abdullah M Algarni, MBBS
principal investigator · Aseer Central Hospital (ACH)

Oversight

Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Sep 2023. You cannot join it, but the record below documents what was studied.

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