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A Study of Child Injury Based on Data Mining

A Prospective Observational Study of Child Injury Based on Data Mining

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04528810
Enrollment
10762
Registered
2020-08-27
Start date
2025-07-01
Completion date
2027-07-31
Last updated
2025-02-18

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Child, Injuries

Keywords

Injuries, Child, Epidemiology

Brief summary

A comprehensive pediatric injury burden assessment is an essential foundation for formulating injury prevention strategies and improving emergency care for injured children. Although the hospital-based passive surveillance of national injury surveillance system of medical and health institutions has been well-established in China, the monitoring points of hospitals were not stratified according to children's hospital. Aim of the project is to collect epidemiological and clinical data to describe causes, clinical features and outcomes of pediatric injuries at a Children's Hospital in Shanghai, China. The project intends to establish a method for collecting and analyzing high quality data of child injury using data mining based on the hospital information system.

Detailed description

Injuries are a leading cause of death for infants and children around the world. According to the Haddon Injury Control Model, 90 percent of injuries are both predictable and preventable. Injuries are preventable, not accidents. All unintentionally and intentionally injured children first visit to the emergency department are recruited in the study. Children's Hospital of Fudan University with a Regional Pediatric Trauma Centre is also the first Pediatric Injury Prevention Center established in China. We conduct a prospective cohort study to investigate the epidemiology, clinical course, and outcomes of the injured child first visit to the emergency department, which expected to serve as evidence of injury prevention and promising practices. In the study, we collect and analyze high quality data of child injury based on data mining.

Interventions

This is an observational study and does not include interventions.

Sponsors

Children's Hospital of Fudan University
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
0 Years to 18 Years
Healthy volunteers
No

Inclusion criteria

All pediatric patients between the ages of 0-18 years newly diagnosed with injuries in the emergency department,and recorded ICD-10 diagnosis codes from V01 to X39

Exclusion criteria

Patients who were dead on arrival to the emergency department are not included.

Design outcomes

Primary

MeasureTime frameDescription
Distribution of injury categoriesAt baselineAccording to the electronic medical record system, the distribution of injury categories is defined as the proportion of various injury causes (fall,motor vehicle crash,sports, struck, foreign body) in the cohort subjects.

Secondary

MeasureTime frameDescription
28 days mortalityWithin 28 days from ED admissionMortality within 28 days from Emergency Department(ED)admission based on electronic medical records system
180 days mortalityWithin 180 days from ED admissionMortality based on electronic medical records system
Short-term disabilityAt 180 days from ED admissionDisability accessed by the Glasgow Outcome Scale (GOS) at 180 days from ED admission. The Glasgow Outcome Scale was dichotomized into favorable outcome (moderate disability or good recovery ; GOS score of 4 or 5) and unfavorable outcome (death, vegetative state or severe disability; GOS score 1-3).
Percentage of ICU admissionFrom ED admission to 72 hoursPercentage of ICU admission from ED admission to 72 hours based on electronic medical records system

Contacts

Primary ContactYANG CHEN
chenyangcn@126.com+8613918374679

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026