BACKGROUND Current evidence-based screening algorithms for blunt cerebrovascular injury (BCVI) may miss more than 30% of carotid or vertebral artery injuries. We implemented universal screening for BCVI with computed tomography angiography of the neck at our level 1 trauma center, hypothesizing that only universal screening would identify all clinically relevant BCVIs. METHODS Adult blunt trauma activations from July 2017 to August 2019 underwent full-body computed tomography scan including computed tomography angiography neck with a 128-slice computed tomography scanner. We calculated sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of common screening criteria. We determined independent risk factors for BCVI using multivariate analyses. RESULTS A total of 4,659 patients fulfilled the inclusion criteria, 2.7% (n = 126) of which had 158 BCVIs. For the criteria outlined in the American College of Surgeons Trauma Quality Improvement Program Best Practices Guidelines, sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 72.2%, 64.9%, 6.8%, 98.5%, and 65.2%, respectively; for the risk factors suggested in the more extensive expanded Denver criteria, they were 82.5%, 50.4%, 5.3%, 98.9%, and 51.4%, respectively. Twenty-three percent (n = 14) of patients with BCVI grade 3 or higher would not have been captured by any screening criteria. Cervical spine, facial, and skull base fractures were the strongest predictors of BCVI with odds ratios and 95% confidence intervals of 8.1 (5.4–12.1), 5.7 (2.2–15.1), and 2.7 (1.5–4.7), respectively. Eighty-three percent (n = 105) of patients with BCVI received antiplatelet agents or therapeutic anticoagulation, with 4% (n = 5) experiencing a bleeding complication, 3% (n = 4) a BCVI progression, and 8% (n = 10) a stroke. CONCLUSION Almost 20% of patients with BCVI, including a quarter of those with BCVI grade 3 or higher, would have gone undiagnosed by even the most extensive and sensitive BCVI screening criteria. Implementation of universal screening should strongly be considered to ensure the detection of all clinically relevant BCVIs. LEVEL OF EVIDENCE Diagnostic study, level III.
Background Most triage guidelines for blunt chest wall trauma focus on advanced age and multiple fractured ribs to indicate a high-risk patient population that should be admitted to an intensive care unit (ICU). Overly sensitive ICU admission criteria, however, may result in overutilization of resources. We revised our rib fracture triage guideline to de-emphasize age and number of rib fractures, hypothesizing that we could lower ICU admission rates without compromising outcomes. Methods Patients admitted to our level 1 trauma center over 9 months after the institution of the revised guideline (N = 248) were compared with those admitted over 6 months following the original guideline (N = 207) using Fisher’s exact and Wilcoxon-Mann-Whitney tests, as appropriate. Univariate followed by multivariate analyses were performed to determine risk factors for complications. Results The ICU admission rate significantly decreased from 73% to 63% ( P = .02) after the institution of the revised guideline, despite an increase in the patient’s age and injury acuity of the cohort. There was no significant difference in respiratory complications, unplanned ICU admission rates, and overall mortality. Poor incentive spirometer effort (750 mL or less) and dyspnea in the trauma bay were the strongest predictors of an adverse composite outcome and prolonged hospital length of stay. Discussion A revised rib fracture triage guideline with less emphasis on the patient’s age and the number of fractured ribs safely lowered ICU admission rates. Poor functional status rather than age and anatomy was the strongest predictor of complications and prolonged hospital stay.
Interprofessional collaboration (IPC) is an essential component of care delivery needed to achieve optimal patient- and system-level outcomes. The purpose of this project was to measure the impact of a structured IPC model, RAMPED-UP, on hospital length of stay (LOS) in a surgical trauma population. The study design was a prospective cohort with a historical comparison group. The project was conducted at a Level 1 trauma center. The RAMPED-UP group constituted trauma patients admitted from October to December 2017 (n = 96). Trauma patients admitted from October to December 2016 constituted the pre-RAMPED-UP group (n = 98). The 2 groups were similar in demographics. Hospital LOS was not statistically significant between groups. Median RAMPED-UP LOS, defined as the number of days the patient received RAMPED-UP rounds, was 3 days. Patients in the RAMPED-UP group were more likely to be discharged home, with higher discharge-by-noon (DBN) rates of 18.2% (p = .005). A statistically significant correlation was found between incentive spirometry (I/S) values and hospital LOS and RAMPED-UP LOS in the RAMPED-UP group (95% CI: rs −0.301, p = .008; 95% CI: rs −0.270, p = .018, respectively). Although the RAMPED-UP model did not decrease hospital LOS, the model did significantly improve DBN and RAMPED-UP LOS. Further exploration of I/S values as a predictor of LOS is warranted. The use of a structured IPC model that includes essential members of the IPC team can aid in improving patient outcomes such as DBN.
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