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This study aimed to test the hypothesis that a practical, bedside-applicable tool could be developed to help identify patients at high risk of mortality following motorcycle accidents more quickly and facilitate treatment by enabling faster clinical decision-making.
Injuries resulting from motorcycle accidents are one of the leading causes of death worldwide, and rates are increasing. This increase is attributed to the disproportionate vulnerability of riders at the moment of impact, inadequate protective barriers during collisions, motorcycles' ability to reach high speeds and biomechanical exposure. The thoracic cage is the anatomical region most commonly affected in motorcycle accident-related injuries. This study aimed to test the hypothesis that a practical, bedside-applicable tool could be developed to help identify patients at high risk of mortality following motorcycle accidents more quickly and facilitate treatment by enabling faster clinical decision-making.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Training set |
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| Test set |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Training set | Other | Training set for model development |
| |
| Measure | Description | Time Frame |
|---|---|---|
| In-hospital mortality | 30 days after ICU admission |
| Measure | Description | Time Frame |
|---|---|---|
| Develop and validate the model | 30 days after ICU admission | |
| Assess the model's discriminatory performance, calibration and classification accuracy | 30 days after ICU admission | |
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Inclusion Criteria:
Exclusion Criteria:
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The study planned to include patients aged 18 years and over who had been involved in a motorcycle accident (as a rider or passenger) and had a chest injury that had been radiologically or clinically confirmed, as well as patients whose medical records had been fully documented during the chart review.
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| Name | Affiliation | Role |
|---|---|---|
| Nilay Cavusoglu Yalcın | University of Health Sciences, Antalya Training and Research Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| University of Health Sciences, Antalya Training and Research Hospital | Antalya | Turkey (Türkiye) |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 15211142 | Background | Lavoie A, Moore L, LeSage N, Liberman M, Sampalis JS. The New Injury Severity Score: a more accurate predictor of in-hospital mortality than the Injury Severity Score. J Trauma. 2004 Jun;56(6):1312-20. doi: 10.1097/01.ta.0000075342.36072.ef. | |
| 20851396 | Background | Schluter PJ. Trauma and Injury Severity Score (TRISS): is it time for variable re-categorisations and re-characterisations? Injury. 2011 Jan;42(1):83-9. doi: 10.1016/j.injury.2010.08.036. |
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| ID | Term |
|---|---|
| D014947 | Wounds and Injuries |
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| Test set |
| Other |
Independent test set for validation |
|
| Classify patients into clinically meaningful risk categories |
| 30 days after ICU admission |
| Assess the independent contribution of helmet use and chest injury patterns to mortality prediction | 30 days after ICU admission |