NCT05616416

Brief Summary

This observational study aims to use electronic health records to build an International Big Data Centre in Emergency Medicine, within the Institute of Sciences in Emergency Medicine (ISEM) at the Guangdong Provincial People's Hospital. The main questions it seeks to answer are not limited to the following:

  • Identify the relationship between Emergency Department Length of Stay (EDLOS), Mortality, and Adverse Events (AE)
  • Identify the risk factors associated with high mortality and AE rate among patients who experience prolonged EDLOS
  • Other research questions related to emergency medicine, such as building prediction and cluster models for acute diseases

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
500,000

participants targeted

Target at P75+ for all trials

Timeline
18mo left

Started Jan 2011

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress91%
Jan 2011Dec 2027

Study Start

First participant enrolled

January 1, 2011

Completed
11.9 years until next milestone

First Submitted

Initial submission to the registry

November 7, 2022

Completed
8 days until next milestone

First Posted

Study publicly available on registry

November 15, 2022

Completed
5 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 1, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2027

Last Updated

February 23, 2023

Status Verified

February 1, 2023

Enrollment Period

16.9 years

First QC Date

November 7, 2022

Last Update Submit

February 21, 2023

Conditions

Emergency Medicine

Keywords

Machine LearningData MiningArtificial Intelligence

Outcome Measures

Primary Outcomes (1)

  • In-hospital Mortality

    IHM

    From date of ED triage until the date of discharge or date of death from any cause, whichever came first, assessed up to 1 month

Secondary Outcomes (1)

  • Number of Adverse Events

    From date of ED triage until the date of discharge or date of death from any cause, whichever came first, assessed up to 1 month

Study Arms (1)

All ED Patient

All patients visited the emergency department during the period.

Eligibility Criteria

Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The study population will be everybody who visited the Emergency Department.

You may qualify if:

  • Every patient who ever visited Emergency Department from 2011-2022

You may not qualify if:

  • Patients with missing demographic (age, gender, etc.) and triage data

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Guangdong Provincial People's Hospital

Guangzhou, Guangdong, China

RECRUITING

Study Officials

  • Abdelouahab Bellou, MD, PhD, MSc

    Guangdong Provincial People's Hospital

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Abdelouahab Bellou, MD, PhD, MSc

CONTACT

+16176693707abellou402@gmail.com

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Director of Institute of Sciences in Emergency Medicine

Study Record Dates

First Submitted

November 7, 2022

First Posted

November 15, 2022

Study Start

January 1, 2011

Primary Completion (Estimated)

December 1, 2027

Study Completion (Estimated)

December 1, 2027

Last Updated

February 23, 2023

Record last verified: 2023-02

Locations

CN(1)