Fall Injury Mortality Prediction

June 6, 2026 updated by: Tse-Hao Chen, Mackay Memorial Hospital

Development of a Mortality Prediction Model for Fall Injury Patients: An Analysis of the PATOS Trauma Registry

This retrospective, multicenter, registry-based cohort study used data from the Pan-Asian Trauma Outcomes Study registry between January 2016 and December 2024. Adult patients with fall-related trauma were included if they had available data on age, sex, emergency department vital signs, and 30-day mortality. The final cohort was randomly divided into derivation and validation cohorts in a 2:1 ratio. Candidate predictors were selected based on clinical relevance, field triage criteria, prior trauma literature, and early availability. Multivariable logistic regression was used to develop the model, and regression coefficients were converted into an integer-based score. Model performance was assessed using discrimination, calibration, Brier score, and threshold-based metrics.

Study Overview

Status

Completed

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

58353

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

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Among patients with traumatic injuries recorded in the PATOS registry between January 2016 and December 2024, those with fall-related injuries were screened for eligibility. Patients younger than 18 years and those with missing data on age, sex, ED vital signs, or 30-day mortality were excluded.

Description

Inclusion Criteria:

  • Among patients with traumatic injuries recorded in the PATOS registry between January 2016 and December 2024, those with fall-related injuries were screened for eligibility.

Exclusion Criteria:

  • Patients younger than 18 years and those with missing data on age, sex, ED vital signs, or 30-day mortality were excluded.

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

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Fall injury group
adult patients with fall-related trauma
Prediction model development

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
30-day Mortality
Time Frame: 30-day
30-day Mortality
30-day

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

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)

January 1, 2016

Primary Completion (Actual)

December 31, 2024

Study Completion (Actual)

December 31, 2024

Study Registration Dates

First Submitted

June 6, 2026

First Submitted That Met QC Criteria

June 6, 2026

First Posted (Actual)

June 11, 2026

Study Record Updates

Last Update Posted (Actual)

June 11, 2026

Last Update Submitted That Met QC Criteria

June 6, 2026

Last Verified

June 1, 2026

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 26MMHIS178e

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

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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