| Unique ID issued by UMIN | UMIN000055269 |
|---|---|
| Receipt number | R000063091 |
| Scientific Title | Effectiveness of Early Definitive Fracture Fixation (E-FRAX) trial: A multicenter prospective observational study |
| Date of disclosure of the study information | 2024/08/19 |
| Last modified on | 2024/08/17 16:03:02 |
Effectiveness of Early Definitive Fracture Fixation (E-FRAX) trial: A multicenter prospective observational study
E-FRAX study
Effectiveness of Early Definitive Fracture Fixation (E-FRAX) trial: A multicenter prospective observational study
E-FRAX study
| Japan |
fracture
| Orthopedics | Emergency medicine |
Others
NO
Define early definitive fracture fixation (EDFF) as early surgical intervention for fractures of the extremities and pelvis resulting from blunt trauma, and investigate its impact on patient outcomes. Hypothesize that EDFF may reduce trauma- and surgery-related complications within six months of patient arrival, and validate this hypothesis.
Efficacy
Trauma- and surgery-related complications over six months from inclusion.
Observational
| 18 | years-old | <= |
| Not applicable |
Male and Female
Patients aged 18 years or older with bone fractures resulting from blunt trauma, meeting one of the following criteria:
-Fractures of the extremities or pelvis with Abbreviated Injury Scale (AIS) scores ranging from 3 to 5.
-Fractures of the extremities or pelvis with AIS scores of 2 or higher, combined with other injuries at different body sites with AIS scores ranging from 2 to 5.
-Patients who present more than 24 hours after the injury.
-Patients with spinal cord injuries accompanied by paralysis.
-Cases of cardiac arrest before hospital arrival.
-Cases of cardiac arrest in the emergency department.
-Patients with proximal femur fractures (however, fractures accompanying the inclusion criteria are allowed).
-Patients who underwent abdominal, thoracic, or cranial surgery, or surgery for hemostasis including interventional radiology, prior to definitive fracture fixation.
-Patients who received external fixation before definitive fracture fixation (the external fixation does not need to be limited to the same site as the definitive fracture fixation).
-Patients who have expressed a refusal to participate in the study.
-Patients deemed unsuitable for participation by the clinical investigator.
1027
| 1st name | Junichi |
| Middle name | |
| Last name | sasaki |
Keio University School of Medicine
Department of Emergency and Critical Care Medicine
1600016
35 Shinanomachi Shinjuku Tokyo
03-3225-1323
sasaki.junichi@keio.jp
| 1st name | Yusho |
| Middle name | |
| Last name | Nishida |
Keio University School of Medicine
Department of Emergency and Critical Care Medicine
1600016
35 Shinanomachi Shinjuku Tokyo
03-3225-1323
yushonishida@keio.jp
Keio University School of Medicine
Keio University School of Medicine
Self funding
Committee of Ethics, Keio University School of Medicine
35 Shinanomachi Shinjuku Tokyo
03-3353-1211
keio@esct.bvits.com
NO
| 2024 | Year | 08 | Month | 19 | Day |
Unpublished
Preinitiation
| 2024 | Year | 06 | Month | 24 | Day |
| 2024 | Year | 06 | Month | 24 | Day |
| 2024 | Year | 08 | Month | 19 | Day |
| 2027 | Year | 08 | Month | 18 | Day |
Clinical information will be collected at Day 0 (admission) and Day 1. Surgical-related information will also be collected. Data on survival, trauma- and surgery-related complications, and functional outcomes of the affected limb will be collected at 1 month and 6 months post-admission. Comparisons will be made between the EDFF group and the non-EDFF group for the above-mentioned items.
To adjust for observable confounders between the EDFF group and the control group and to accurately evaluate the time-varying treatment effect, we will perform inverse probability weighting (IPW) for time-varying treatment. The details are as follows:
Using the information collected at each time point from Day 0-1 as fixed-effect covariates and the facility as a random-effect covariate, we will apply a logistic regression mixed-effects model, using the administration of EDFF at each time point from Day 0-1 as the response variable. This will allow us to calculate the inverse probability weight (IPW) that accounts for the time-varying administration of EDFF, enabling the adjustment for background factors, including time-dependent covariates, between the two groups. Additionally, we will estimate the absolute difference in the primary outcome between the weighted EDFF and control groups by performing doubly-robust estimation, where the same covariates and primary outcome are regressed.
Considering that the observation period is six months long and that missing data on primary outcomes may lead to selection bias, multiple imputation will be used to complement the missing covariates and primary outcomes.
| 2024 | Year | 08 | Month | 17 | Day |
| 2024 | Year | 08 | Month | 17 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000063091