FAST and Furious About Quality: Impact of Continuous Review and Feedback on Point-of-Care Ultrasound Examinations.

Background: Focused Assessment with Sonography in Trauma (FAST) examination is a point-of-care ultrasound study used to evaluate for abdominal hemorrhage, pneumothorax, or pericardial blood in trauma patients as an adjunct to their initial assessment. The quality of the image can be limited, and its diagnostic value is heavily dependent on operator skill. Our objective was to determine whether a standardized review process improved image quality and reduced incidence of nondiagnostic or insufficient imaging by 10% over a 6-month period. Study Design: Between July 1, 2021, and March 31, 2022, we evaluated 1106 trauma activations at our level II trauma center. Two exams per practitioner per month were reviewed by an emergency medicine trained traumatologist with specialized training in point-of-care ultrasound and board certification in echocardiography. Priority was given to exams on patients with known injuries identified on other studies. If there were no exams that matched these criteria, random exams were selected. Images were reviewed for image quality, diagnostic accuracy, and labeling with counseling given to the provider if indicated. Categorical variables were compared using chi squared analysis, while continuous non-normally distributed variables were compared using the Mann-Whitney U test. Results: A total of 305 FAST exams were reviewed (186 pre-intervention and 119 during intervention). Image quality improved from 46.3% (n = 31/65) to 79.0% (n = 94/119) (P < .01) with need for counseling falling from 63.1% (n = 41/65) pre-QI to 42.0% (n = 50/119) post-QI (P < .01). Incidence of detectable injury, BMI, ISS, and AIS body regions were consistent across the study period. This was seen in both the geriatric and non-geriatric cohorts despite a significant increase in ISS in the post-intervention geriatric patients.Discussion: A FAST review program is associated with improvement in image quality and decreased need for counseling of trauma providers.

Beyond Mortality: Does Trauma-related Injury Severity Score Predict Complications or Lengths of Stay Using a Large Administrative Dataset.

INTRODUCTION: Despite its shortcomings, trauma-related injury severity score (TRISS) correlates well with mortality in large trauma datasets. The aim of this study was to determine if TRISS correlates with morbidity and hospital lengths of stay using data from an institutional registry at a Level I Trauma Center. We hypothesized that higher TRISS correlates with increased complications and longer hospital stays. METHODS: A retrospective review of our institutional registry was performed, examining all trauma admissions between January 1999 and June 30, 2015. Out of a total of 32,026 patient records, TRISS data were available in 23,205 cases. Abstracted data included patient age, gender, ISS, TRISS, presence of complication, Glasgow Coma Scale (GCS), hospital length of stay, intensive care unit LOS, step-down unit LOS, functional independence measure, and 30-day mortality. RESULTS: TRISS was highly predictive of mortality, with the AUC value of 0.95 (95% confidence interval 0.936-0.954, P < 0.01) compared to ISS (AUC 0.794), GCS (AUC 0.827), and age (AUC 0.650). TRISS also performed better than the other variables in terms of the ability to predict morbidity events (AUC 0.813). TRISS was comparable to ISS in terms of prediction of ICU admission (AUC 0.801 versus 0.811, respectively). After correcting for patient age and gender, higher TRISS significantly correlated with longer hospital stays . CONCLUSIONS: Despite previous criticisms, we found that TRISS is superior to ISS for mortality and morbidity prediction. TRISS correlated significantly with a hospital, step down, and ICU lengths of stay using a large administrative dataset.

Emergency Trauma Providers as Equal Partners: From "Proof of Concept" to "Outcome Parity".

Enmeshment of emergency trauma providers (ETPs) into the United States health-care fabric resulted in the establishment of a formalized surgical critical care fellowship and certification for emergency medicine trainees. The aim of this study was to compare trauma outcomes for surgery-trained providers (STPs) and ETPs at our institution, hypothesizing patient outcome equivalency. We performed an institutional review board-exempt institutional registry review (January 1, 2004 to August 1, 2018), comparing 74 STPs and 6 ETPs. Comparator variables included all-cause mortality, all-cause morbidity, CT imaging studies per provider, time in ED (min), hospital/ICU lengths of stay, ICU admissions, and functional outcomes on discharge. Statistical comparisons included chi-square test for categorical data and analysis of covariance for continuous data (adjustments made for patient age, Injury Severity Score, and trauma mechanism; all P < 0.20). Statistical significance was set at P < 0.05, with an equivalence study design. A total of 33,577 trauma resuscitations were reviewed (32,299 STP-led and 1,278 ETP-led). Except for patient age (STP 50.2 ± 25.9 vs ETP 54.9 ± 25.3 years), Injury Severity Score (8.47 ± 8.14 vs 9.22 ± 8.40), and ICU admissions (16.1% vs 18.8%), we noted no significant intergroup differences. ETPs' performance was equivalent to that of STPs for all primary comparator variables (mortality, morbidity, CT utilization, time in the ED, lengths of stay, and functional outcomes). Incorporation of ETPs into our trauma center resulted in outcome parity between ETPs and STPs, while simultaneously expanding the expertise and experiential diversity within our multidisciplinary team. This study provides support for further incorporation of ETPs as equal partners across the growing network of United States regional trauma centers.

A seven-center examination of the relationship between monthly volume and mortality in trauma: a hypothesis-generating study.

INTRODUCTION: The relationship between trauma volumes and patient outcomes continues to be controversial, with limited data available regarding the effect of month-to-month trauma volume variability on clinical results. This study examines the relationship between monthly trauma volume variations and patient mortality at seven Level I Trauma Centers located in the Eastern United States. We hypothesized that higher monthly trauma volumes may be associated with lower corresponding mortality. METHODS: Monthly patient volume data were collected from seven Level I Trauma Centers. Additional information retrieved included monthly mortality, demographics, mean monthly injury severity (ISS), and trauma mechanism (blunt versus penetrating). Mortality was utilized as the primary study outcome. Statistical corrections for mean age, gender distribution, ISS, and mechanism of injury were made using analysis of co-variance (ANCOVA). Center-specific, annually-adjusted median monthly volumes (CSAA-MMV) were calculated to standardize patient volume differences across participating institutions. Statistical significance was set at α < 0.05. RESULTS: A total of 604 months of trauma admissions, encompassing 122,197 patients, were analyzed. Controlling for patient age, gender, ISS, and mechanism of injury, aggregate data suggested that monthly trauma volumes < 100 were associated with significantly greater mortality (3.9%) than months with volumes > 400 (mortality 2.9%, p < 0.01). To account for differences in monthly volumes between centers, as well as for temporal bias associated with potential differences over the entire study duration period, data were normalized using CSAA-MMV as a standardized reference point. Monthly volumes ≤ 33% of the CSAA-MMV were associated with adjusted mortality of 5.0% whereas monthly volumes ≥ 134% CSAA-MMV were associated with adjusted mortality of 2.7% (p < 0.01). CONCLUSIONS: This hypothesis-generating study suggests that greater monthly trauma volumes appear to be associated with lower mortality. In addition, our data also suggest that across all participating centers mortality may be a function of relative month-to-month volume variation. When normalized to institution-specific, annually-adjusted "median" monthly trauma contacts, we show that months with patient volumes ≤ 33% median may be associated with subtly but not negligibly (1.4-2.3%) higher mortality than months with patient volumes ≥ 134% median.

Keys to successful organ procurement: An experience-based review of clinical practices at a high-performing health-care organization.

Organ procurement (OP) from donors after brain death and circulatory death represents the primary source of transplanted organs. Despite favorable laws and regulations, OP continues to face challenges for a number of reasons, including institutional, personal, and societal barriers. This focused review presents some of the key components of a successful OP program at a large, high-performing regional health network. This review focuses on effective team approaches, aggressive resuscitative strategies, optimal communication, family support, and community outreach efforts.

Prognostication of traumatic brain injury outcomes in older trauma patients: A novel risk assessment tool based on initial cranial CT findings.

INTRODUCTION: Advanced age has been traditionally associated with worse traumatic brain injury (TBI) outcomes. Although prompt neurosurgical intervention (NSI, craniotomy or craniectomy) may be life-saving in the older trauma patient, it does not guarantee survival and/or return to preinjury functional status. The aim of this study was to determine whether a simple score, based entirely on the initial cranial computed tomography (CCT) is predictive of the need for NSI and key outcome measures (e.g., morbidity and mortality) in the older (age 45+ years) TBI patient subset. We hypothesized that increasing number of categorical CCT findings is independently associated with NSI, morbidity, and mortality in older patients with severe TBI. METHODS: After IRB approval, a retrospective study of patients 45 years and older was performed using our Regional Level 1 Trauma Center registry data between June 2003 and December 2013. Collected variables included patient demographics, Injury Severity Score (ISS), Abbreviated Injury Scale Head (AISh), brain injury characteristics on CCT, Glasgow Coma Scale (GCS), Intensive Care Unit (ICU) and hospital length of stay (LOS), all-cause morbidity and mortality, functional independence scores, as well as discharge disposition. A novel CCT scoring tool (CCTST, scored from 1 to 8+) was devised, with one point given for each of the following findings: subdural hematoma, epidural hematoma, subarachnoid blood, intraventricular blood, cerebral contusion/intraparenchymal blood, skull fracture, pneumocephalus, brain edema/herniation, midline shift, and external (skin/face) trauma. Descriptive statistics and univariate analyses were conducted with 30-day mortality, in-hospital morbidity, and need for NSI as primary end-points. Secondary end-points included the length of stay in the ICU (ICULOS), step-down unit (SDLOS), and the hospital (HLOS) as well as patient functional outcomes, and postdischarge destination. Factors associated with the need for NSI were determined using matched NSI (n = 310) and non-NSI (n = 310) groups. All other analyses examined the combined patient sample (n = 620). Variables achieving a significance level of P < 0.20 were included in the logistic regression. Receiver operating characteristic curves, with corresponding area under the curve (AUC) determinations, were also analyzed. Statistical significance was set at α = 0.05. Data are presented as percentages, mean ± standard deviation, or adjusted odds ratios (AORs) with 95% confidence intervals (95% CIs). RESULTS: A total of 620 patients were analyzed, including 310 patients who underwent NSI and 310 age- and ISS-matched non-NSI controls. Average patient age was 72.8 ± 13.4 years (64.1% male, 99% blunt trauma, mean ISS 25.1 ± 8.68, and mean AISh/GCS of 4.63/10.9). CCTST was the only variable independently associated with NSI (AOR 1.23, 95% CI 1.06-1.42) and was inversely proportional to initial GCS and functional outcome scores on discharge. Increasing CCTST was associated with greater mortality, morbidity, HLOS, SDLOS, ICULOS, and ventilator days. On multivariate analysis, factors independently associated with mortality included AISh (AOR 2.70, 95% CI 1.21-6.00), initial GCS (AOR 1.14, 1.07-1.22), and CCTST (AOR 1.31, 1.09-1.58). Variables independently associated with in-hospital morbidity included CCTST (AOR 1.16, 1.02-1.34), GCS (AOR 1.05, 1.01-1.09), and NSI (AOR 2.62, 1.69-4.06). Multivariate models incorporating factors independently associated with each respective outcome displayed good overall predictive characteristics for mortality (AUC 0.787) and in-hospital morbidity (AUC 0.651). Finally, modified CCTST demonstrated good overall predictive ability for NSI (AUC 0.755). CONCLUSION: This study found that the number of discrete findings on CCT is independently associated with major TBI outcome measures, including 30-day mortality, in-hospital morbidity, and NSI. Of note, multivariate models with best predictive characteristics incorporate both CCTST and GCS. CCTST is easy to calculate, and this preliminary investigation of its predictive utility in older patients with TBI warrants further validation, focusing on exploring prognostic synergies between CCTST, GCS, and AISh. If independently confirmed to be predictive of clinical outcomes and the need for NSI, the approach described herein could lead to a shift in both operative and nonoperative management of patients with TBI.

Injury and fatality risks in aeromedical transport: focus on prevention.

BACKGROUND: Aeromedical transport (AMT) is a reliable and well-established life-saving option for rapid patient transfers to health care delivery hubs. However, owing to the very nature of AMT, fatal and nonfatal events may occur. This study reviews aeromedical incidents reported since the publication of the last definitive review in 2003, aiming to provide additional insight into a wide range of factors potentially associated with fatal and nonfatal AMT incidents (AMTIs). We hypothesized that weather and/or visual conditions, postcrash fire, aircraft make and/or type, and time of day all correlate with the risk of AMTI with injury or fatality. METHODS: Specialty databases were queried for AMTI between January 1, 2003 and July 31, 2015. Additional Internet-based resources were also used to find any additional AMTI (including non-US occurrences) to augment the event sample size available for analysis. Univariate analyses of the collected sample were then performed for association between "fatal crash or injury" (FCOI) and weather/visual conditions, aircraft type and/or make, pilot error, equipment failure, post-incident fire, time of day (6 am-7 pm versus 7 pm-6 am), weekend (Friday-Sunday) versus weekday (Monday-Thursday), season of the year, and presence of patient on board. Variables reaching significance level of P < 0.20 were included in multivariate analysis. RESULTS: A total of 59 AMTIs were identified. Helicopters were involved in 52 of 59 AMTIs, with 7 of 59 fixed-wing incidents. Comparing pre-2003 data with post-2003 data, we noted a significant decrease in AMTIs per month (0.70 versus 0.39, respectively, P = 0.048), whereas the number of fatalities per year increased slightly (7.20 versus 8.26, p = n/s). In univariate analyses, abnormal weather conditions, impaired visibility, time of incident (7 pm-6 am), aircraft model/make, and post-incident fire all reached statistical significance sufficient for inclusion in multivariate analysis (P < 0.20). Factors independently associated with FCOI included post-incident fire (odds ratio, 19.0; 95% confidence interval, 1.41-255.5) and time of incident between 7 pm and 6 am (odds ratio, 11.2; 95% confidence interval, 1.29-97.2). Weather conditions, impaired visibility, and aircraft model/make were not independently associated with FCOI. CONCLUSIONS: The present study supports previous observation that post-crash fire is independently associated with FCOI. However, our data do not support previous observations that weather conditions, impaired visibility, or aircraft model/make are independently predictive of fatal AMTI. In addition, this report demonstrates that flights between the hours of 7 pm-6 am may be associated with greater odds of FCOI. Efforts directed at identification, remediation, and active prevention of factors associated with AMTI and FCOI are warranted given the global increase in aeromedical transport.