Abstract
Objectives To develop and validate a simplified Bleeding Audit Triage Trauma (sBATT) score for use by lay persons, or in areas and environments where physiological monitoring equipment may be unavailable or inappropriate.
Design The sBATT was derived from the original BATT, which included prehospital systolic blood pressure (SBP), heart rate, respiratory rate, Glasgow Coma Scale (GCS), age and trauma mechanism. Variables suitable for lay interpretation without monitoring equipment were included (age, level of consciousness, absence of radial pulse, tachycardia and trapped status). The sBATT was validated using data from the UK Trauma Audit Research Network (TARN) registry.
Setting Data sourced from prehospital observations from multiple trauma systems in the UK.
Participants 70 027 motor vehicle collision (MVC) patients from the TARN registry (2012–2019). Participants included were those involved in MVCs, with exclusion criteria being incomplete data or non-trauma-related admissions.
Interventions Not applicable.
Primary and secondary outcome measures Death within 24 hours of MVC. Secondary: need for trauma intervention.
Results In a cohort of 70 027 MVC patients, 1976 (3%) died within 24 hours. The sBATT showed an area under receiver operating characteristic curve of 0.90 (95% CI: 0.90 to 0.91) for predicting 24-hour mortality, surpassing other trauma scores such as the Shock Index and Assessment of Blood Consumption score. Sensitivity was 96% and specificity 72%, with a negative likelihood ratio below 0.1, indicating strong rule-out capability. Sensitivity analyses confirmed consistent performance across varying SBP and GCS thresholds. The sBATT was equally effective across sexes with no significant predictive discrepancies.
Conclusions The sBATT is a novel, simplified tool that performs well at predicting early death in the TARN dataset. It demonstrates high predictive accuracy for 24-hour mortality and need for trauma intervention. Further research should validate sBATT in diverse populations and real-world scenarios to confirm its utility and applicability.
Design The sBATT was derived from the original BATT, which included prehospital systolic blood pressure (SBP), heart rate, respiratory rate, Glasgow Coma Scale (GCS), age and trauma mechanism. Variables suitable for lay interpretation without monitoring equipment were included (age, level of consciousness, absence of radial pulse, tachycardia and trapped status). The sBATT was validated using data from the UK Trauma Audit Research Network (TARN) registry.
Setting Data sourced from prehospital observations from multiple trauma systems in the UK.
Participants 70 027 motor vehicle collision (MVC) patients from the TARN registry (2012–2019). Participants included were those involved in MVCs, with exclusion criteria being incomplete data or non-trauma-related admissions.
Interventions Not applicable.
Primary and secondary outcome measures Death within 24 hours of MVC. Secondary: need for trauma intervention.
Results In a cohort of 70 027 MVC patients, 1976 (3%) died within 24 hours. The sBATT showed an area under receiver operating characteristic curve of 0.90 (95% CI: 0.90 to 0.91) for predicting 24-hour mortality, surpassing other trauma scores such as the Shock Index and Assessment of Blood Consumption score. Sensitivity was 96% and specificity 72%, with a negative likelihood ratio below 0.1, indicating strong rule-out capability. Sensitivity analyses confirmed consistent performance across varying SBP and GCS thresholds. The sBATT was equally effective across sexes with no significant predictive discrepancies.
Conclusions The sBATT is a novel, simplified tool that performs well at predicting early death in the TARN dataset. It demonstrates high predictive accuracy for 24-hour mortality and need for trauma intervention. Further research should validate sBATT in diverse populations and real-world scenarios to confirm its utility and applicability.
| Original language | English |
|---|---|
| Article number | e090517 |
| Journal | BMJ Open |
| Volume | 14 |
| DOIs | |
| Publication status | Published - 26 Dec 2024 |
