Role of ED crowding relative to trauma quality care in a Level 1 Trauma Center.

OBJECTIVE: Trauma Quality Improvement Program participation among all trauma centers has shown to improve patient outcomes. We aim to identify trauma quality events occurring during the Emergency Department (ED) phase of care. METHODS: This is a single-center observational study using consecutively registered data in local trauma registry (Jan 1, 2016-Jun 30, 2017). Four ED crowding scores as determined by four different crowding estimation tools were assigned to each enrolled patient upon arrival to the ED. Patient related (age, gender, race, severity of illness, ED disposition), system related (crowding, night shift, ED LOS), and provider related risk factors were analyzed in a multivariate logistic regression model to determine associations relative to ED quality events. RESULTS: Total 5160 cases were enrolled among which, 605 cases were deemed ED quality improvement (QI) cases and 457 cases were ED provider related. Similar percentages of ED QI cases (10-12%) occurred across the ED crowding status range. No significant difference was appreciated in terms of predictability of ED QI cases relative to different crowding status after adjustment for potential confounders. However, an adjusted odds ratio of 1.64 (95% CI, 1.17-2.30, p < 0.01) regarding ED LOS ≥2 h predictive of ED related quality issues was noted when analyzed using multivariate logistic regression. CONCLUSION: Provider related issues are a common contributor to undesirable outcomes in trauma care. ED crowding lacks significant association with poor trauma quality care. Prolonged ED LOS (≥2 h) appears to be linked with unfavorable outcomes in ED trauma care.

A Derivation and Validation Study of an Early Blood Transfusion Needs Score for Severe Trauma Patients.

BACKGROUND: There is no existing adequate blood transfusion needs determination tool that Emergency Medical Services (EMS) personnel can use for prehospital blood transfusion initiation. In this study, a simple and pragmatic prehospital blood transfusion needs scoring system was derived and validated. METHODS: Local trauma registry data were reviewed retrospectively from 2004 through 2013. Patients were randomly assigned to derivation and validation cohorts. Multivariate logistic regression was used to identify the independent approachable risks associated with early blood transfusion needs in the derivation cohort in which a scoring system was derived. Sensitivity, specificity, and area under the receiver operational characteristic (AUC) were calculated and compared using both the derivation and validation data. RESULTS: A total of 24,303 patients were included with 12,151 patients in the derivation and 12,152 patients in the validation cohorts. Age, penetrating injury, heart rate, systolic blood pressure, and Glasgow coma scale (GCS) were risks predictive of early blood transfusion needs. An early blood transfusion needs score was derived. A score > 5 indicated risk of early blood transfusion need with a sensitivity of 83% and a specificity of 80%. A sensitivity of 82% and a specificity of 80% were also found in the validation study and their AUC showed no statistically significant difference (AUC of the derivation = 0.87 versus AUC of the validation = 0.86, P > 0.05). CONCLUSIONS: An early blood transfusion scoring system was derived and internally validated to predict severe trauma patients requiring blood transfusion during prehospital or initial emergency department resuscitation.

Predictors of mortality among initially stable adult pelvic trauma patients in the US: Data analysis from the National Trauma Data Bank.

OBJECTIVES: Pelvic fractures are associated with increased risk of death among trauma patients. Studies show independent risks predicting mortality among patients with pelvic fractures vary across different geographic regions. This study analyses national data to determine predictors of mortality in initially stable adult pelvic trauma patients in the US. METHODS: This study is a retrospective analysis of the US National Trauma Data Bank from January 2003 to December 2010 among trauma patients ≥18 years of age with pelvic fractures (including acetabulum). Over 150 variables were reviewed and analysed. The primary outcome was all-cause in-hospital mortality. Logistic regression analysis was used to determine independent risk factors predictive of in-hospital mortality in stable pelvic fracture patients. RESULTS: 30,800 patients were included in the final analysis. Overall in-hospital mortality rate was 2.7%. Mortality increased twofold in middle aged patients (age 55-70), and increased nearly fourfold in patients with advanced age ≥70. We found patients with advanced age, higher severity of injury, Glasgow Coma Scale (GCS) <8, GCS between 9 and 12, prolonged mechanical ventilation, and/or in-hospital blood product administration experienced higher mortality. Patients transported to level 1 or level 2 trauma centres experienced lower mortality while concomitantly experiencing higher associated internal injuries. CONCLUSIONS: Geriatric and middle aged pelvic fracture patients experience higher mortality. Predictors of mortality in initially stable pelvic fracture patients are advanced age, injury severity, mental status, prolonged mechanical ventilation, and/or in-hospital blood product administration. These patients might benefit from transport to local level 1 or level 2 trauma centres.