MultiCenter Study of Intra-Abdominal Abscess Formation After Major Operative Hepatic Trauma.

INTRODUCTION: One of the significant complications of operative liver trauma is intra-abdominal abscesses (IAA). The objective of this study was to determine risk factors associated with postoperative IAA in surgical patients with major operative liver trauma. METHODS: A retrospective multi-institutional study was performed at 13 Level 1 and Level 2 trauma centers from 2012 to 2021. Adult patients with major liver trauma (grade 3 and higher) requiring operative management were enrolled. Univariate and multivariate analyses were performed. RESULTS: Three hundred seventy-two patients were included with 21.2% (n = 79/372) developing an IAA. No difference was found for age, gender, injury severity score, liver injury grade, and liver resections in patients between the groups (P > 0.05). Penetrating mechanism of injury (odds ratio (OR) 3.42, 95% confidence interval (CI) 1.54-7.57, P = 0.02), intraoperative massive transfusion protocol (OR 2.43, 95% CI 1.23-4.79, P = 0.01), biloma/bile leak (OR 2.14, 95% CI 1.01-4.53, P = 0.04), hospital length of stay (OR 1.04, 95% CI 1.02-1.06, P < 0.001), and additional intra-abdominal injuries (OR 2.27, 95% CI 1.09-4.72, P = 0.03) were independent risk factors for IAA. Intra-abdominal drains, damage control laparotomy, total units of packed red blood cells, number of days with an open abdomen, total abdominal surgeries, and blood loss during surgery were not found to be associated with a higher risk of IAA. CONCLUSIONS: Patients with penetrating trauma, massive transfusion protocol activation, longer hospital length of stay, and injuries to other intra-abdominal organs were at higher risk for the development of an IAA following operative liver trauma. Results from this study could help to refine existing guidelines for managing complex operative traumatic liver injuries.

When public health crises collide: 5 years of pediatric firearm injury prevention opportunities.

Objectives: Prior publications on pediatric firearm-related injuries have emphasized significant social disparities. The pandemic has heightened a variety of these societal stresses. We sought to evaluate how we must now adapt our injury prevention strategies. Patients and methods: Firearm-related injuries in children 15 years old and under at five urban level 1 trauma centers between January 2016 and December 2020 were retrospectively reviewed. Age, gender, race/ethnicity, Injury Severity Score, situation, timing of injury around school/curfew, and mortality were evaluated. Medical examiner data identified additional deaths. Results: There were 615 injuries identified including 67 from the medical examiner. Overall, 80.2% were male with median age of 14 years (range 0-15; IQR 12-15). Black children comprised 77.2% of injured children while only representing 36% of local schools. Community violence (intentional interpersonal or bystander) injuries were 67.2% of the cohort; 7.8% were negligent discharges; and 2.6% suicide. Median age for intentional interpersonal injuries was 14 years (IQR 14-15) compared with 12 years (IQR 6-14, p<0.001) for negligent discharges. Far more injuries were seen in the summer after the stay-at-home order (p<0.001). Community violence and negligent discharges increased in 2020 (p=0.004 and p=0.04, respectively). Annual suicides also increased linearly (p=0.006). 5.5% of injuries were during school; 56.7% after school or during non-school days; and 34.3% were after legal curfew. Mortality rate was 21.3%. Conclusions: Pediatric firearm-related injuries have increased during the past 5 years. Prevention strategies have not been effective during this time interval. Prevention opportunities were identified specifically in the preteenage years to address interpersonal de-escalation training, safe handling/storage, and suicide mitigation. Efforts directed at those most vulnerable need to be reconsidered and examined for their utility and effectiveness. Level of evidence: Level III; epidemiological study type.

Multicenter Study of Perioperative Hepatic Angioembolization as an Adjunct for Management of Major Operative Hepatic Trauma.

BACKGROUND: The management of major liver trauma continues to evolve in trauma centers across the US with increasing use of minimally invasive techniques. Data on the outcomes of these procedures remain minimal. The objective of this study was to evaluate patient complications after perioperative hepatic angioembolization as an adjunct to management of major operative liver trauma. STUDY DESIGN: A retrospective multi-institutional study was performed at 13 level 1 and level 2 trauma centers from 2012 to 2021. Adult patients with major liver trauma (grade 3 and higher) requiring operative management were enrolled. Patients were divided into 2 groups: angioembolization (AE) and no angioembolization (NO AE). Univariate and multivariate analyses were performed. RESULTS: A total of 442 patients were included with AE performed in 20.4% (n = 90 of 442) of patients. The AE group was associated with higher rates of biloma formation (p = 0.0007), intra-abdominal abscess (p = 0.04), pneumonia (p = 0.006), deep vein thrombosis (p = 0.0004), acute renal failure (p = 0.004), and acute respiratory distress syndrome (p = 0.0003), and it had longer ICU and hospital length of stay (p < 0.0001). On multivariate analysis, the AE had a significantly higher amount intra-abdominal abscess formation (odds ratio 1.9, 95% CI 1.01 to 3.6, p = 0.05). CONCLUSIONS: This is one of the first multicenter studies comparing AE in specifically operative high-grade liver injuries and found that patients with liver injury that undergo AE in addition to surgery have higher rates of both intra- and extra-abdominal complications. This provides important information that can guide clinical management.

A novel machine-learning tool to identify community risk for firearm violence: The Firearm Violence Vulnerability Index.

BACKGROUND: Firearm violence in the United States is a public health crisis, but accessing accurate firearm assault data to inform prevention strategies is a challenge. Vulnerability indices have been used in other fields to better characterize and identify at-risk populations during crises, but no tool currently exists to predict where rates of firearm violence are highest. We sought to develop and validate a novel machine-learning algorithm, the Firearm Violence Vulnerability Index (FVVI), to forecast community risk for shooting incidents, fill data gaps, and enhance prevention efforts. METHODS: Open-access 2015 to 2022 fatal and nonfatal shooting incident data from Baltimore, Boston, Chicago, Cincinnati, Los Angeles, New York City, Philadelphia, and Rochester were merged on census tract with 30 population characteristics derived from the 2020 American Community Survey. The data set was split into training (80%) and validation (20%) sets; Chicago data were withheld for an unseen test set. XGBoost, a decision tree-based machine-learning algorithm, was used to construct the FVVI model, which predicts shooting incident rates within urban census tracts. RESULTS: A total of 64,909 shooting incidents in 3,962 census tracts were used to build the model; 14,898 shooting incidents in 766 census tracts were in the test set. Historical third grade math scores and having a parent jailed during childhood were population characteristics exhibiting the greatest impact on FVVI's decision making. The model had strong predictive power in the test set, with a goodness of fit ( D2 ) of 0.77. CONCLUSION: The Firearm Violence Vulnerability Index accurately predicts firearm violence in urban communities at a granular geographic level based solely on population characteristics. The Firearm Violence Vulnerability Index can fill gaps in currently available firearm violence data while helping to geographically target and identify social or environmental areas of focus for prevention programs. Dissemination of this standardized risk tool could also enhance firearm violence research and resource allocation. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level IV.

Novel Trauma Composite Score is a more reliable predictor of mortality than Injury Severity Score in pediatric trauma.

BACKGROUND: The equivalent Injury Severity Score (ISS) cutoffs for severe trauma vary between adult (ISS, >16) and pediatric (ISS, >25) trauma. We hypothesized that a novel injury severity prediction model incorporating age and mechanism of injury would outperform standard ISS cutoffs. METHODS: The 2010 to 2016 National Trauma Data Bank was queried for pediatric trauma patients. Cut point analysis was used to determine the optimal ISS for predicting mortality for age and mechanism of injury. Linear discriminant analysis was implemented to determine prediction accuracy, based on area under the curve (AUC), of ISS cutoff of 25 (ISS, 25), shock index pediatric adjusted (SIPA), an age-adjusted ISS/abbreviated Trauma Composite Score (aTCS), and our novel Trauma Composite Score (TCS) in blunt trauma. The TCS consisted of significant variables (Abbreviated Injury Scale, Glasgow Coma Scale, sex, and SIPA) selected a priori for each age. RESULTS: There were 109,459 blunt trauma and 9,292 penetrating trauma patients studied. There was a significant difference in ISS (blunt trauma, 9.3 ± 8.0 vs. penetrating trauma, 8.0 ± 8.6; p < 0.01) and mortality (blunt trauma, 0.7% vs. penetrating trauma, 2.7%; p < 0.01). Analysis of the entire cohort revealed an optimal ISS cut point of 25 (AUC, 0.95; sensitivity, 0.86; specificity, 0.95); however, the optimal ISS ranged from 18 to 25 when evaluated by age and mechanism. Linear discriminant analysis model AUCs varied significantly for each injury metric when assessed for blunt trauma and penetrating trauma (penetrating trauma-adjusted ISS, 0.94 ± 0.02 vs. ISS 25, 0.88 ± 0.02 vs. SIPA, 0.62 ± 0.03; p < 0.001; blunt trauma-adjusted ISS, 0.96 ± 0.01 vs. ISS 25, 0.89 ± 0.02 vs. SIPA, 0.70 ± 0.02; p < 0.001). When injury metrics were assessed across age groups in blunt trauma, TCS and aTCS performed the best. CONCLUSION: Current use of ISS in pediatric trauma may not accurately reflect injury severity. The TCS and aTCS incorporate both age and mechanism and outperform standard metrics in mortality prediction in blunt trauma. LEVEL OF EVIDENCE: Retrospective review, level IV.

The use of fecal microbiota transplant in sepsis.

Sepsis is defined as a dysregulated inflammatory response, which ultimately results from a perturbed interaction of both an altered immune system and the biomass and virulence of involved pathogens.  This response has been tied to the intestinal microbiota, as the microbiota and its associated metabolites play an essential role in regulating the host immune response to infection.  In turn, critical illness as well as necessary health care treatments result in a collapse of the intestinal microbiota diversity and a subsequent loss of health-promoting short chain fatty acids, such as butyrate, leading to the development of a maladaptive pathobiome.  These perturbations of the microbiota contribute to the dysregulated immune response and organ failure associated with sepsis.  Several case series have reported the ability of fecal microbiota transplant (FMT) to restore the host immune response and aid in recovery of septic patients.  Additionally, animal studies have revealed the mechanism of FMT rescue in sepsis is likely related to the ability of FMT to restore butyrate producing bacteria and alter the innate immune response aiding in pathogen clearance.  However, several studies have reported lethal complications associated with FMT, including bacteremia.  Therefore, FMT in the treatment of sepsis is and should remain investigational until a more detailed mechanism of how FMT restores the host immune response in sepsis is determined, allowing for the development of more fine-tuned microbiota therapies.

The effect of body mass index on outcomes following severe blunt chest trauma.

INTRODUCTION: Obesity has been described as a significant risk factor for adverse outcomes in hospitalized patients. However, recent literature reports an "obesity paradox", suggesting that obesity may have a protective effect in a subset of surgical and critically ill patients. The present study assesses the effect of body mass index (BMI) on outcomes following severe isolated blunt chest trauma. METHODS: This was a TQIP database study including patients with severe isolated blunt chest injury (chest AIS 3-5, extrathoracic AIS <3). Patients were excluded for age <20 or >89, death on arrival, facility transfer, or BMI <10 or >55. Patients were divided into five groups according to BMI: underweight (BMI <18.5), normal weight (18.5-24.9), overweight (25.0-29.9), obesity class 1 (30.0-34.9), obesity class 2 (35.0-39.9) and obesity class 3 (≥40.0). Logistic regression models were constructed to evaluate the effect of BMI on outcomes. RESULTS: 28,820 patients met criteria for inclusion in the analysis. After multivariable analysis, underweight patients as well as obesity class 2 and 3 patients had a significantly higher mortality (OR 1.86 [95% CI, 1.12-3.10], OR 1.48 [95% CI, 1.02-2.16], and OR 1.60 [95% CI, 1.03-2.50]), respectively. Underweight patients had significantly higher risk of overall complications as compared to normal weight patients (OR 1.58 [95% CI, 1.34-1.88]). Obesity class 2 and 3 were independently associated with increased respiratory complications (OR 1.60 [95% CI, 1.27-2.01] and OR 1.58 [95% CI, 1.20-2.09], respectively) and all classes of overweight and obese patients were associated with increased risk of VTE complications (OR 1.68 [95% CI, 1.23-2.27], OR 1.98 [95% CI, 1.42-2.77], OR 2.32 [95% CI, 1.55-3.48], OR 2.02 [95% CI, 1.23-3.33], respectively for overweight and obesity class 1, 2, 3). CONCLUSIONS: The obesity paradox does not extend to severe blunt chest trauma. Underweight and obesity class 2 and 3 patients have worse mortality than normal weight patients. Obesity was independently associated with an increased risk of pulmonary and VTE complications.

Isolated severe blunt traumatic brain injury: effect of obesity on outcomes.

OBJECTIVE: Obesity has been widely reported to confer significant morbidity and mortality in both medical and surgical patients. However, contemporary data indicate that obesity may confer protection after both critical illness and certain types of major surgery. The authors hypothesized that this "obesity paradox" may apply to patients with isolated severe blunt traumatic brain injuries (TBIs). METHODS: The Trauma Quality Improvement Program (TQIP) database was queried for patients with isolated severe blunt TBI (head Abbreviated Injury Scale [AIS] score 3-5, all other body areas AIS < 3). Patient data were divided based on WHO classification levels for BMI: underweight (< 18.5 kg/m2), normal weight (18.5-24.9 kg/m2), overweight (25.0-29.9 kg/m2), obesity class 1 (30.0-34.9 kg/m2), obesity class 2 (35.0-39.9 kg/m2), and obesity class 3 (≥ 40.0 kg/m2). The role of BMI in patient outcomes was assessed using regression models. RESULTS: In total, 103,280 patients were identified with isolated severe blunt TBI. Data were excluded for patients aged < 20 or > 89 years or with BMI < 10 or > 55 kg/m2 and for patients who were transferred from another treatment center or who showed no signs of life upon presentation, leaving data from 38,446 patients for analysis. Obesity was not found to confer a survival advantage on univariate analysis. On multivariate analysis, underweight patients as well as obesity class 1 and 3 patients had a higher rate of mortality (OR 1.86, 95% CI 1.48-2.34; OR 1.18, 95% CI 1.01-1.37; and OR 1.41, 95% CI 1.03-1.93, respectively). Increased obesity class was associated with an increased risk of respiratory complications (obesity class 1: OR 1.19, 95% CI 1.03-1.37; obesity class 2: OR 1.30, 95% CI 1.05-1.62; obesity class 3: OR 1.55, 95% CI 1.18-2.05) and thromboembolic complications (overweight: OR 1.43, 95% CI 1.16-1.76; obesity class 1: OR 1.45, 95% CI 1.11-1.88; obesity class 2: OR 1.55, 95% CI 1.05-2.29) despite a decreased risk of overall complications (obesity class 2: OR 0.82, 95% CI 0.73-0.92; obesity class 3: OR 0.83, 95% CI 0.72-0.97). Underweight patients had a significantly increased risk of overall complications (OR 1.39, 95% CI 1.24-1.57). CONCLUSIONS: Although there was an obesity-associated decrease in overall complications, the study data did not demonstrate a paradoxical protective effect of obesity on mortality after isolated severe blunt TBI. Obese patients with isolated severe blunt TBI are at increased risk of respiratory and venous thromboembolic complications. However, underweight patients appear to be at highest risk after severe blunt TBI, with significantly increased risks of morbidity and mortality.