Early Warning Score Combined With Bedside Assessments: Accelerating Emergency Care To Improve Prognosis
NCT ID: NCT07249151
Last Updated: 2025-11-25
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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COMPLETED
NA
1000 participants
INTERVENTIONAL
2024-05-01
2025-09-16
Brief Summary
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Why the Study? Delayed identification of emergency patients at high risk of deterioration worsens outcomes; traditional assessments often miss subtle deterioration signs. This study seeks a more efficient assessment approach to help clinicians recognize high-risk patients earlier and start targeted treatment faster.
Eligibility 200-300 participants will be recruited from the hospital's ED for acute diseases (e.g., severe infection, heart failure, trauma). Inclusion: aged 18-80, with informed consent (or family consent if unable to communicate). Exclusion: severe mental illness, non-intervenable terminal illness.
Study Process All participants receive routine emergency care. The research team uses a new combined assessment tool: first a 2-minute bedside rapid assessment (vital signs, consciousness, breathing), then early warning scoring to classify risk. Doctors adjust treatment priority based on results. The team records time from admission to treatment initiation and 72-hour condition changes. No additional invasive procedures/experimental drugs are used, and no extra cost for assessments.
Potential Benefits Participants may get more timely, targeted emergency care (reducing deterioration risk and hospital stay). Study results will improve emergency care at this and other hospitals, benefiting more emergency patients.
Study Leadership Principal Investigator: Dr. Jun Liu (Attending Physician, ED of Jiangnan University Affiliated Hospital) Responsible Party: Jiangnan University Affiliated Hospital (Sponsor) Ethical Approval: Approved by the hospital's Medical Ethics Committee (Approval No.: To be filled with actual number)
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
HEALTH_SERVICES_RESEARCH
NONE
Study Groups
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Optimized ED Bedside Nursing Protocol
Arm 1 (Intervention: Optimized ED Assessment) 12 clusters (3 hospitals × 6 depts, day/night shifts) randomized to intervention in 10 phases. Participants get "mNEWS + structured bedside rapid assessment" at triage: 3-min standard assessment (2-min checks: BP, HR, RR, SpO₂, GCS, respiratory status; 1-min mNEWS for risk stratification). Staff prioritize treatment via results. Optimized protocol replaces conventional post-randomization.
Optimized ED Bedside Nursing Protocol
A 3-minute standardized emergency nursing assessment exclusively performed by frontline ED nurses, integrating modified National Early Warning Score (mNEWS) and structured bedside checks. Implemented immediately after patient admission (pre-treatment initiation), it includes 2-minute evaluations of systolic BP, HR, RR, SpO₂, respiratory status, and GCS score, followed by 1-minute mNEWS calculation to stratify into low/medium/high risk-directly guiding care prioritization. Distinct from unstructured experience-based assessments or physician-led scoring tools, it's tailored for 24/7 shift-based cluster settings across multiple hospitals.
Control Arm: Conventional Emergency Assessment
Control: Conventional ED Assessment Waitlist clusters keep routine assessment pre-randomization. Conventional process: vital sign recording (BP, HR, RR) + subjective severity judgment, no structured scoring/risk stratification. Clusters switch to optimized post-wait, but control data collected only during conventional implementation.
No interventions assigned to this group
Interventions
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Optimized ED Bedside Nursing Protocol
A 3-minute standardized emergency nursing assessment exclusively performed by frontline ED nurses, integrating modified National Early Warning Score (mNEWS) and structured bedside checks. Implemented immediately after patient admission (pre-treatment initiation), it includes 2-minute evaluations of systolic BP, HR, RR, SpO₂, respiratory status, and GCS score, followed by 1-minute mNEWS calculation to stratify into low/medium/high risk-directly guiding care prioritization. Distinct from unstructured experience-based assessments or physician-led scoring tools, it's tailored for 24/7 shift-based cluster settings across multiple hospitals.
Eligibility Criteria
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Inclusion Criteria
1. Age between 18 and 80 years at the time of presentation.
2. Presentation to the emergency department (ED) for acute medical evaluation.
3. Completion of at least one documented Early Warning Score (EWS) assessment upon ED admission or during the ED stay.
Exclusion Criteria
1. Do-not-resuscitate (DNR) orders or enrollment in a palliative/comfort care pathway at the time of presentation.
2. Cardiac arrest upon arrival to the ED (unresponsive, pulseless, requiring resuscitation without return of spontaneous circulation).
3. Transfer out of the hospital (to another institution or to the operating room for immediate surgery) within 24 hours of ED admission.
4. History of major cardiac surgery (e.g., coronary artery bypass grafting, valve replacement) or heart transplantation, as these conditions may alter baseline hemodynamics and limit EWS applicability.
5. Severe chronic organ dysfunction, including:
End-stage renal disease requiring maintenance dialysis; Severe hepatic insufficiency (Child-Pugh class C or equivalent); Advanced heart failure (New York Heart Association class IV).
6. Known allergy or contraindication to iodinated contrast media (if relevant laboratory or imaging assessments are required for outcome evaluation).
7. Pregnancy, due to altered physiological parameters and ethical considerations.
8. Incomplete or missing clinical records, preventing calculation of EWS or confirmation of study endpoints.
9. Duplicate enrollment due to repeated ED visits or readmissions during the study period (only the first eligible admission will be included).
18 Years
80 Years
ALL
No
Sponsors
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Jun Liu
OTHER
Responsible Party
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Jun Liu
Attending Physician
Locations
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Wuxi Taihu Hospital; Affiliated Hospital of Jiangnan University; Wuxi Binhu District Traditional Chinese Medicine Hospital; Wuxi Xinwu District Traditional Chinese Medicine Hospital
Wuxi, Jiangsu, China
Countries
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References
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Covino M, Sandroni C, Della Polla D, De Matteis G, Piccioni A, De Vita A, Russo A, Salini S, Carbone L, Petrucci M, Pennisi M, Gasbarrini A, Franceschi F. Predicting ICU admission and death in the Emergency Department: A comparison of six early warning scores. Resuscitation. 2023 Sep;190:109876. doi: 10.1016/j.resuscitation.2023.109876. Epub 2023 Jun 17.
Churpek MM, Snyder A, Han X, Sokol S, Pettit N, Howell MD, Edelson DP. Quick Sepsis-related Organ Failure Assessment, Systemic Inflammatory Response Syndrome, and Early Warning Scores for Detecting Clinical Deterioration in Infected Patients outside the Intensive Care Unit. Am J Respir Crit Care Med. 2017 Apr 1;195(7):906-911. doi: 10.1164/rccm.201604-0854OC.
Candel BGJ, Nissen SK, Nickel CH, Raven W, Thijssen W, Gaakeer MI, Lassen AT, Brabrand M, Steyerberg EW, de Jonge E, de Groot B. Development and External Validation of the International Early Warning Score for Improved Age- and Sex-Adjusted In-Hospital Mortality Prediction in the Emergency Department. Crit Care Med. 2023 Jul 1;51(7):881-891. doi: 10.1097/CCM.0000000000005842. Epub 2023 Mar 23.
Arevalo-Buitrago P, Morales-Cane I, Olivares Luque E, Godino-Rubio M, Rodriguez-Borrego MA, Lopez-Soto PJ. Early detection of risk for clinical deterioration in emergency department patients: validation of a version of the National Early Warning Score 2 for use in Spain. Emergencias. 2022 Dec;34(6):452-457. English, Spanish.
Nannan Panday RS, Minderhoud TC, Alam N, Nanayakkara PWB. Prognostic value of early warning scores in the emergency department (ED) and acute medical unit (AMU): A narrative review. Eur J Intern Med. 2017 Nov;45:20-31. doi: 10.1016/j.ejim.2017.09.027. Epub 2017 Oct 7.
Other Identifiers
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82302187
Identifier Type: OTHER_GRANT
Identifier Source: secondary_id
AHJN-NURS-20240917
Identifier Type: -
Identifier Source: org_study_id
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