Sumary of ED-delivered tool feasible for predicting PTSD, major depression after trauma:
- “It’s impossible to implement potentially expensive preventive interventions with all the millions of trauma patients who come to EDs each year.
- An easy-to-implement screening method is needed to determine which patients are at high PTSD risk to target preventive interventions, which is the unmet need we addressed in this research.
- ” Kessler and colleagues aimed to develop and validate a prediction tool based on ED reports following a motor vehicle collision to predict PTSD or major depressive episode at 3 months.
- They analyzed data of 1,003 patients (median age, 34.5 years;
- weighted 67.9% women) included in the Advancing Understanding of Recovery After Trauma study, which investigated adverse posttraumatic neuropsychiatric sequalae among individuals who visited 28 U.S. urban EDs immediately following a traumatic experience, with enrollment beginning on Sept.
- The researchers predicted 3-month PTSD or major depressive episode from baseline information using an ensemble machine learning method.
- Further, they used the PTSD Checklist for DSM-5 to evaluate PTSD, as well as the Patient Reported Outcomes Measurement Information System Depression Short-Form 8b to evaluate major depressive episode.
- Results showed 274 patients (weighted 26.6%) fulfilled criteria for PTSD or major depressive episode at 3 months.