The burden of readmissions after rib fractures among older adults.

BACKGROUND: The index hospitalization morbidity and mortality of rib fractures among older adults (aged ≥65 years) is well-known, yet the burden and risks for readmissions after rib fractures in this vulnerable population remain understudied. We aimed to characterize the burdens and etiologies associated with 3-month readmissions among older adults who suffer rib fractures. We hypothesized that readmissions would be common and associated with modifiable etiologies. METHODS: This survey-weighted retrospective study using the 2017 and 2019 National Readmissions Database evaluated adults aged ≥65 years hospitalized with multiple rib fractures and without major extrathoracic injuries. The main outcome was the proportion of patients experiencing all-cause 3-month readmissions. We assessed the 5 leading principal readmission diagnoses overall and delineated them by index hospitalization discharge disposition (home or facility). Sensitivity analysis using clinical classification categories characterized readmissions that could reasonably represent rib fracture-related sequelae. RESULTS: In 2017, 25,092 patients met the inclusion criteria, with 20% (N = 4,894) experiencing 3-month readmissions. Six percent of patients did not survive their readmission. The 5 leading principal readmission diagnoses were sepsis (many associated with secondary diagnoses of pneumonia [41%] or urinary tract infections [41%]), hypertensive heart/kidney disease, hemothorax, pneumonia, and respiratory failure. In 2019, a comparable 3-month readmission rate of 23% and identical 5 leading diagnoses were found. Principal readmission diagnosis of hemothorax was associated with the shortest time to readmission (median [interquartile range]:9 [5-23] days). Among patients discharged home after index hospitalization, pleural effusion-possibly representing mischaracterized hemothorax-was among the leading principal readmission diagnoses. Some patients readmitted with a principal diagnosis of hemothorax or pleural effusion had these diagnoses at index hospitalization; a lower proportion of these patients underwent pleural fluid intervention during index hospitalization compared with readmission. On sensitivity analysis, 30% of 3-month readmissions were associated with principal diagnoses suggesting rib fracture-related sequelae. CONCLUSION: Readmissions are not infrequent among older adults who suffer rib fractures, even in the absence of major extrathoracic injuries. Future studies should better characterize how specific complications associated with readmissions, such as pneumonia, urinary tract infections, and delayed hemothoraces, could be mitigated.

Comparative Analysis of Frailty Scores for Predicting Adverse Outcomes in Hip Fracture Patients: Insights from the United States National Inpatient Sample.

The aim of the current investigation was to compare the ability of several frailty scores to predict adverse outcomes in hip fracture patients. All adult patients (18 years or older) who suffered a hip fracture due to a fall and underwent surgical fixation were extracted from the 2019 National Inpatient Sample (NIS) Database. A combination of logistic regression and bootstrapping was used to compare the predictive ability of the Orthopedic Frailty Score (OFS), the Nottingham Hip Fracture Score (NHFS), the 11-factor modified Frailty Index (11-mFI) and 5-factor (5-mFI) modified Frailty Index, as well as the Johns Hopkins Frailty Indicator. A total of 227,850 patients were extracted from the NIS. In the prediction of in-hospital mortality and failure-to-rescue (FTR), the OFS surpassed all other frailty measures, approaching an acceptable predictive ability for mortality [AUC (95% CI): 0.69 (0.67-0.72)] and achieving an acceptable predictive ability for FTR [AUC (95% CI): 0.70 (0.67-0.72)]. The NHFS demonstrated the highest predictive ability for predicting any complication [AUC (95% CI): 0.62 (0.62-0.63)]. The 11-mFI exhibited the highest predictive ability for cardiovascular complications [AUC (95% CI): 0.66 (0.64-0.67)] and the NHFS achieved the highest predictive ability for delirium [AUC (95% CI): 0.69 (0.68-0.70)]. No score succeeded in effectively predicting venous thromboembolism or infections. In summary, the investigated frailty scores were most effective in predicting in-hospital mortality and failure-to-rescue; however, they struggled to predict complications.

Palliative Intervention for Malignant Bowel Obstruction Comes at a Cost: A National Inpatient Study.

Background: Malignant bowel obstruction (MBO) due to peritoneal carcinomatosis (PC) is associated with poor outcomes. Optimal management for palliation remains unclear. This study aims to characterize nonoperative, procedural, and operative management strategies for MBO and evaluate its association with mortality and cost.Materials and Methods: ICD-10 coding identified patient admissions from the 2018 to 2019 National Inpatient Sample (NIS) for MBO with PC from gastrointestinal or ovarian primary cancers. Management was categorized as nonoperative, procedural, or surgical. Multivariate analysis was used to associate treatment with mortality and cost.Results: 356,316 patient admissions were identified, with a mean age of 63 years. Gender, race, and insurance status were similar among groups. Length of stay (LOS) was longest in the surgical group (surgical: 17 days; procedural: 14 days; nonoperative: 7 days; P = .001). In comparison to nonoperative, procedural and surgical patients had statistically higher hospital charges, post-discharge medical needs, palliative care consults, and admission to rehab centers. Mortality was 7% in nonoperative, 9% in procedural, and 8% in surgical (P = .007) groups. In adjusted analyses, older age, palliative care consult, and non-Medicare payer status were associated with higher mortality. Compared to nonoperative, procedural and surgical groups resulted in increased costs (procedural: $17K more; surgical: $30K more).Conclusions: Admissions for procedural and surgical treatment of MBO are associated with increased LOS, hospital costs, and discharge needs. Optimal management remains challenging. Clinicians must examine all options prior to recommending palliative interventions given a trend towards higher resource utilization and mortality.

Management of Uncomplicated Appendicitis in Adults: A Nationwide Analysis From 2018 to 2019.

INTRODUCTION: Nonoperative management (NOM) of uncomplicated appendicitis (UA) has been increasingly utilized in recent years. The aim of this study was to describe nationwide trends of sociodemographic characteristics, outcomes, and costs of patients undergoing medical versus surgical management for UA. METHODS: The 2018-2019 National (Nationwide) Inpatient Sample was queried for adults (age ≥18 y) with UA; diagnosis, as well as laparoscopic and open appendectomy, were defined by the International Classification of Diseases, 10th Revision, Clinical Modification codes. We examined several characteristics, including cost of care and length of hospital stay. RESULTS: Among the 167,125 patients with UA, 137,644 (82.4%) underwent operative management and 29,481 (17.6%) underwent NOM. In bivariate analysis, we found that patients who had NOM were older (53 versus 43 y, P < 0.001) and more likely to have Medicare (33.6% versus 16.1%, P < 0.001), with higher prevalence of comorbidities such as diabetes (7.8% versus 5.5%, P < 0.001). The majority of NOM patients were treated at urban teaching hospitals (74.5% versus 66.3%, P < 0.001). They had longer LOS's (5.4 versus 2.3 d, P < 0.001) with higher inpatient costs ($15,584 versus $11,559, P < 0.001) than those who had an appendectomy. Through logistic regression we found that older patients had up to 4.03-times greater odds of undergoing NOM (95% CI: 3.22-5.05, P < 0.001). CONCLUSIONS: NOM of UA is more commonly utilized in patients with comorbidities, older age, and those treated in teaching hospitals. This may, however, come at the price of longer length of stay and higher costs. Further guidelines need to be developed to clearly delineate which patients could benefit from NOM.

Firearm-Related Injuries and the US Opioid and Other Substance Use Epidemic: A Nationwide Evaluation of Emergency Department Encounters.

INTRODUCTION: There has been a sharp climb in the Unites States' death rate among opioid and other substance abuse patients, as well as an increased prevalence in gun violence. We aimed to investigate the association between substance abuse and gun violence in a national sample of patients presenting to US emergency departments (EDs). METHODS: We queried the 2018-2019 Nationwide Emergency Department Sample for patients ≥18 years with substance abuse disorders (opioid and other) using International Classification of Diseases, 10th Revision, Clinical Modification codes. Within this sample, we analyzed characteristics and outcomes of patients with firearm-related injuries. The primary outcome was mortality; secondary outcomes were ED charges and length of stay. RESULTS: Among the 25.2 million substance use disorder (SUD) patients in our analysis, 35,306 (0.14%) had a firearm-related diagnosis. Compared to other SUD patients, firearm-SUD patients were younger (33.3 versus 44.7 years, P < 0.001), primarily male (88.6% versus 54.2%, P < 0.001), of lower-income status (0-25th percentile income: 56.4% versus 40.5%, P < 0.001), and more likely to be insured by Medicaid or self-pay (71.6% versus 53.2%, P < 0.001). Firearm-SUD patients had higher mortality (1.4% versus 0.4%, P < 0.001), longer lengths of stay (6.5 versus 4.9 days, P < 0.001), and higher ED charges ($9269 versus $5,164, P < 0.001). Firearm-SUD patients had a 60.3% rate of psychiatric diagnoses. Firearm-SUD patients had 5.5 times greater odds of mortality in adjusted analyses (adjusted odds ratio: 5.5, P < 0.001). CONCLUSIONS: Opioid-substance abuse patients with firearm injuries have higher mortality rates and costs among these groups, with limited discharge to postacute care resources. All these factors together point to the urgent need for improved screening and treatment for this vulnerable group of patients.

Angioembolization for splenic injuries: does it help? Retrospective evaluation of grade III-V splenic injuries at two level I trauma centers.

Background: Splenic angioembolization (SAE) has increased in utilization for blunt splenic injuries. We hypothesized lower SAE usage would not correlate with higher rates of additional intervention or mortality when choosing initial non-operative management (NOM) or surgery. Study design: Trauma registries from two level I trauma centers from 2010 to 2020 were used to identify patients aged >18 years with grade III-V blunt splenic injuries. Results were compared with the National Trauma Data Bank (NTDB) for 2018 for level I and II centers. Additional intervention or failure was defined as any subsequent SAE or surgery. Mortality was defined as death during admission. Results: There were 266 vs 5943 patients who met inclusion/exclusion criteria at Stanford/Santa Clara Valley Medical Center (SCVMC) versus the NTDB. Initial intervention differed significantly between cohorts with the use of SAE (6% vs 17%, p=0.000). Failure differed significantly between cohorts (1.5% vs 6.5%, p=0.005). On multivariate analysis, failure in NOM was significantly associated with NTDB cohort status, age 65+ years, more than one comorbidity, mechanism of injury, grade V spleen injury, and Injury Severity Score (ISS) 25+. On multivariate analysis, failure in SAE was significantly associated with Shock Index >0.9 and 10+ units blood in 24 hours. On multivariate analysis, a higher risk of mortality was significantly associated with NTDB cohort status, age 65+ years, no private insurance, more than one comorbidity, mechanism of injury, ISS 25+, 10+ units blood in 24 hours, NOM, more than one hospital complications, anticoagulant use, other Abbreviated Injury Scale ≥3 abdominal injuries. Conclusions: Compared with national data, our cohort had less SAE, lower rates of additional intervention, and had lower risk-adjusted mortality. Shock Index >0.9, grade V splenic injuries, and increased transfusion requirements in the first 24 hours may signal a need for surgical intervention rather than SAE or NOM and may reduce mortality in appropriately selected patients. Level of evidence: Level II/III.

Impact of Medicaid Expansion and Firearm Legislation on Cost of Firearm Injuries.

INTRODUCTION: Firearm injury-related hospitalizations in the U.S. cost $900 million annually. Before the Affordable Care Act, government insurance programs covered 41% of the costs. This study describes the impact of Affordable Care Act Medicaid expansion and state-level firearm legislation on coverage and costs for firearm injuries. METHODS: This cross-sectional study included 35,854,586 hospitalizations from 27 states in 2013 and 2016. Data analyses were performed in 2022. Firearm injuries were classified by mechanism: assault, unintentional, self-harm, or undetermined. The impact of the Affordable Care Act expansion was determined using difference-in-differences analysis. Differences in per capita costs between states with stronger and weak firearm legislation were compared using univariable and multivariable analyses. RESULTS: The authors identified 31,451 initial firearm injury-related hospitalizations. In states with weak firearm legislation, hospitalization costs per 100,000 residents were higher from unintentional ($25,834; p=0.04) and self-inflicted ($11,550; p=0.02) injuries; there were no state-level differences in assault or total per capita firearm-related hospitalization costs. Affordable Care Act expansion increased government coverage of costs by 15 percentage points (95% CI=3, 29) and decreased costs to uninsured/self-pay by 14 percentage points (95% CI=6, 21). In 2016, states with weak firearm legislation and no Affordable Care Act expansion had the highest proportion of hospitalization costs attributed to uninsured/self-pay patients (24%, 95% CI=15, 34). CONCLUSIONS: Affordable Care Act expansion increased government coverage of hospitalizations for firearm injuries. Unintentional and self-harm costs were significantly higher for states with weak firearm legislation. States with weak firearm legislation that did not expand Medicaid had the highest proportion of uninsured/self-pay patients.

Rates and risk factors for anastomotic leak following blunt trauma-associated bucket handle intestinal injuries: a multicenter study.

Objectives: The risk factors for anastomotic leak (AL) after resection and primary anastomosis for traumatic bucket handle injury (BHI) have not been previously defined. This multicenter study was conducted to address this knowledge gap. Methods: This is a multicenter retrospective study on small intestine and colonic BHIs from blunt trauma between 2010 and 2021. Baseline patient characteristics, risk factors, presence of shock and transfusion, operative details, and clinical outcomes were compared using R. Results: Data on 395 subjects were submitted by 12 trauma centers, of whom 33 (8.1%) patients developed AL. Baseline details were similar, except for a higher proportion of patients in the AL group who had medical comorbidities such as diabetes, hypertension, and obesity (60.6% vs. 37.3%, p=0.015). AL had higher rates of surgical site infections (13.4% vs. 5.3%, p=0.004) and organ space infections (65.2% vs. 11.7%, p<0.001), along with higher readmission and reoperation rates (48.4% vs. 9.1%, p<0.001, and 39.4% vs. 11.6%, p<0.001, respectively). There was no difference in intensive care unit length of stay or mortality (p>0.05). More patients with AL were discharged with an ostomy (69.7% vs. 7.3%, p<0.001), and the mean duration until ostomy reversal was 5.85±3 months (range 2-12.4 months). The risk of AL significantly increased when the initial operation was a damage control procedure, after adjusting for age, sex, injury severity, presence of one or more comorbidities, shock, transfusion of >6 units of packed red blood cells, and site of injury (adjusted RR=2.32 (1.13, 5.17)), none of which were independent risk factors in themselves. Conclusion: Damage control surgery performed as the initial operation appears to double the risk of AL after intestinal BHI, even after controlling for other markers of injury severity. Level of evidence: III.

The relationship and predictive value of dementia and frailty for mortality in patients with surgically managed hip fractures.

BACKGROUND: Both dementia and frailty have been associated with worse outcomes in patients with hip fractures. However, the interrelation and predictive value of these two entities has yet to be clarified. The current study aimed to investigate the predictive relationship between dementia, frailty, and in-hospital mortality after hip fracture surgery. METHODS: All patients registered in the 2019 National Inpatient Sample Database who were 50 years or older and underwent emergency hip fracture surgery following a traumatic fall were eligible for inclusion. Logistic regression (LR) models were constructed with in-hospital mortality as the response variables. One model was constructed including markers of frailty and one model was constructed excluding markers of frailty [Orthopedic Frailty Score (OFS) and weight loss]. The feature importance of all variables was determined using the permutation importance method. New LR models were then fitted using the top ten most important variables. The area under the receiver-operating characteristic curve (AUC) was used to compare the predictive ability of these models. RESULTS: An estimated total of 216,395 patients were included. Dementia was the 7th most important variable for predicting in-hospital mortality. When the OFS and weight loss were included, they replaced dementia in importance. There was no significant difference in the predictive ability of the models when comparing the model that included markers of frailty [AUC for in-hospital mortality (95% CI) 0.79 (0.77-0.81)] with the model that excluded markers of frailty [AUC for in-hospital mortality (95% CI) 0.79 (0.77-0.80)]. CONCLUSION: Dementia functions as a surrogate for frailty when predicting in-hospital mortality in hip fracture patients. This finding highlights the importance of early frailty screening for improvement of care pathways and discussions with patients and their families in regard to expected outcomes.

Anastomotic leak rates after repair of mesenteric bucket-handle injuries: A multi-center retrospective cohort study.

BACKGROUND: Primary aim was to assess the relative risk (RR) of anastomotic leak (AL) in intestinal bucket-handle (BH) compared to non-BH injury. METHODS: Multi-center study comparing AL in BH from blunt trauma 2010-2021 compared to non-BH intestinal injuries. RR was calculated for small bowel and colonic injury using R. RESULTS: AL occurred in 20/385 (5.2%) of BH vs. 4/225 (1.8%) of non-BH small intestine injury. AL was diagnosed 11.6 ± 5.6 days from index operation in small intestine BH and 9.7 ± 4.3 days in colonic BH. Adjusted RR for AL was 2.32 [0.77-6.95] for small intestinal and 4.83 [1.47-15.89] for colonic injuries. AL increased infections, ventilator days, ICU & total length of stay, reoperation, and readmission rates, although mortality was unchanged. CONCLUSION: BH carries a significantly higher risk of AL, particularly in the colon, than other blunt intestinal injuries.

Validation of the orthopedic frailty score for measuring frailty in hip fracture patients: a cohort study based on the United States National inpatient sample.

BACKGROUND: The Orthopedic Frailty Score (OFS) has been proposed as a tool for measuring frailty in order to predict short-term postoperative mortality in hip fracture patients. This study aims to validate the OFS using a large national patient register to determine its relationship with adverse outcomes as well as length of stay and cost of hospital stay. METHODS: All adult patients (18 years or older) registered in the 2019 National Inpatient Sample Database who underwent emergency hip fracture surgery following a traumatic fall were eligible for inclusion. The association between the OFS and mortality, complications, and failure-to-rescue (FTR) was determined using Poisson regression models adjusted for potential confounders. The relationship between the OFS and length of stay and cost of hospital stay was instead determined using a quantile regression model. RESULTS: An estimated 227,850 cases met the study inclusion criteria. There was a stepwise increase in the rate of complications, mortality, and FTR for each additional point on the OFS. After adjusting for potential confounding, OFS 4 was associated with an almost ten-fold increase in the risk of in-hospital mortality [adjusted IRR (95% CI): 10.6 (4.02-27.7), p < 0.001], a 38% increased risk of complications [adjusted IRR (95% CI): 1.38 (1.03-1.85), p = 0.032], and an almost 11-fold increase in the risk of FTR [adjusted IRR (95% CI): 11.6 (4.36-30.9), p < 0.001], compared to OFS 0. Patients with OFS 4 also required a day and a half additional care [change in median length of stay (95% CI): 1.52 (0.97-2.08), p < 0.001] as well as cost approximately $5,200 more to manage [change in median cost of stay (95% CI): 5166 (1921-8411), p = 0.002], compared to those with OFS 0. CONCLUSION: Patients with an elevated OFS display a substantially increased risk of mortality, complications, and failure-to-rescue as well as a prolonged and more costly hospital stay.

Effect of Seasonality on Variation Among Patients Presenting With Rib Fractures in the United States.

BACKGROUND: A prior single-site study from the Midwest exploring seasonality of traumatic rib fractures found injuries are more common during summer months and lower in winter months. There have been no modern studies evaluating seasonality of these common injuries nationally. Our aim was to describe temporal and spatial distribution of rib fractures in the United States. We hypothesized presentations for traumatic rib fractures follow a seasonal pattern, with greater frequency of rib fractures in the summer and lower levels in the winter. METHODS: We obtained hospital emergency department (ED) encounter data from Nationwide Emergency Department Sample (NEDS) from January 1, 2018 to December 31, 2018. We used ICD-10 codes to identify all patients with diagnostic codes specific to rib fractures. To examine seasonal patterns, we constructed negative binomial regression models using seasons as covariates to predict incidence of rib fracture encounters across regions. RESULTS: Of 15,439,004 trauma-related ED encounters in 2018, 384 431 (2%) encounters included a diagnosis of rib fracture(s). The percentage of ED trauma encounters with rib fractures was similar across the 4 regions. Rib fractures were more common in the summer in the Midwest, South, and West as compared to winter [22% (95% CI = 10-34%, P = .007), 12% (95% CI = 5-20%, P = 0.02), and 11% (95% CI = 5-17%, P = .008), respectively]. DISCUSSION: Our hypothesis was generally supported by our evaluation of NEDS. However, while seasonal variation in rib fractures does appear to exist in the Midwest, South, and West, this variation is not ubiquitous across the United States.

Disparities in detection of suspected child abuse.

BACKGROUND: Child abuse is a significant cause of injury and death among children, but accurate identification is often challenging. This study aims to assess whether racial disparities exist in the identification of child abuse. METHODS: The 2010-2014 and 2016-2017 National Trauma Data Bank was queried for trauma patients ages 1-17. Using ICD-9CM and ICD-10CM codes, children with injuries consistent with child abuse were identified and analyzed by race. RESULTS: Between 2010-2014 and 2016-2017, 798,353 patients were included in NTDB. Suspected child abuse victims (SCA) accounted for 7903 (1%) patients. Of these, 51% were White, 33% Black, 1% Asian, 0.3% Native Hawaiian/Other Pacific Islander, 2% American Indian, and 12% other race. Black patients were disproportionately overrepresented, composing 12% of the US population, but 33% of SCA patients (p < 0.001). Although White SCA patients were more severely injured (ISS 16-24: 20% vs 16%, p < 0.01) and had higher in-hospital mortality (9% vs. 6%, p = 0.01), Black SCA patients were hospitalized longer (7.2 ± 31.4 vs. 6.2 ± 9.9 days, p < 0.01) despite controlling for ISS (1-15: 4. 5.7 ± 35.7 vs. 4.2 ± 6.2 days, p < 0.01). In multivariate regression, Black children continued to have longer lengths of stay despite controlling for ISS and insurance type. CONCLUSIONS: Utilizing a nationally representative dataset, Black children were disproportionately identified as potential victims of abuse. They were also subjected to longer hospitalizations, despite milder injuries. Further studies are needed to better understand the etiology of the observed trends and whether they reflect potential underlying unconscious or conscious biases of mandated reporters. TYPE OF STUDY: Treatment study. LEVEL OF EVIDENCE: III.

A National Evaluation of Emergency General Surgery Outcomes Among Hospitalized Cardiac Patients.

INTRODUCTION: Emergency general surgery among cardiac surgery patients is increasingly common and consequential. We sought to characterize the true burden of emergency general surgery among hospitalized complex cardiac patients. METHODS: We performed a retrospective analysis of the 2016-2017 National Inpatient Sample. We included adult patients with a primary diagnosis of complex cardiac disease. We then compared patients who underwent emergency general surgery (GS-OR) with those who did not (non-GS-OR). The primary outcome was mortality; secondary outcomes included length of stay and hospitalization costs. RESULTS: We identified 10.2 million patients with a primary diagnosis of complex cardiac disease, of which 148,309 (1.4%) underwent GS-OR. Mortality rates were significantly higher in the GS-OR group (11.0% versus 5.0%, P < 0.001). Among all cardiac patients, GS-OR was associated with 2.2 times increased odds of death (aOR: 2.2, P < 0.001). GS-OR patients also had longer length of stays (14.1 versus 5.8 d, P < 0.001). Among all cardiac patients, GS-OR was associated with an 8.1-day longer length of stay (P < 0.001). GS-OR patients were less often routinely discharged home (31.7% versus 45.3%, P < 0.001) and incurred higher inpatient costs ($46,136 versus $16,303, P < 0.001). Among all cardiac patients, GS-OR patients incurred $30,102 higher hospitalization costs (P < 0.001). CONCLUSIONS: Emergency general surgery among cardiac surgery patients is associated with a greater than two-fold increase in mortality, longer length of stays, higher rates of nonroutine discharge, and higher hospitalization costs. Emergency general surgery complications account for 4.0% of total inpatient costs of cardiac surgery patients and merit further study.

Explainable Machine Learning to Bring Database to the Bedside: Development and Validation of the TROUT (Trauma fRailty OUTcomes) Index, a Point-of-Care Tool to Prognosticate Outcomes After Traumatic Injury Based on Frailty.

OBJECTIVE: Exemplify an explainable machine learning framework to bring database to the bedside; develop and validate a point-of-care frailty assessment tool to prognosticate outcomes after injury. BACKGROUND: A geriatric trauma frailty index that captures only baseline conditions, is readily-implementable, and validated nationwide remains underexplored. We hypothesized Trauma fRailty OUTcomes (TROUT) Index could prognosticate major adverse outcomes with minimal implementation barriers. METHODS: We developed TROUT index according to Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis guidelines. Using nationwide US admission encounters of patients aged ≥65 years (2016-2017; 10% development, 90% validation cohorts), unsupervised and supervised machine learning algorithms identified baseline conditions that contribute most to adverse outcomes. These conditions were aggregated into TROUT Index scores (0-100) that delineate 3 frailty risk strata. After associative [between frailty risk strata and outcomes, adjusted for age, sex, and injury severity (as effect modifier)] and calibration analysis, we designed a mobile application to facilitate point-of-care implementation. RESULTS: Our study population comprised 1.6 million survey-weighted admission encounters. Fourteen baseline conditions and 1 mechanism of injury constituted the TROUT Index. Among the validation cohort, increasing frailty risk (low=reference group, moderate, high) was associated with stepwise increased adjusted odds of mortality {odds ratio [OR] [95% confidence interval (CI)]: 2.6 [2.4-2.8], 4.3 [4.0-4.7]}, prolonged hospitalization [OR (95% CI)]: 1.4 (1.4-1.5), 1.8 (1.8-1.9)], disposition to a facility [OR (95% CI): 1.49 (1.4-1.5), 1.8 (1.7-1.8)], and mechanical ventilation [OR (95% CI): 2.3 (1.9-2.7), 3.6 (3.0-4.5)]. Calibration analysis found positive correlations between higher TROUT Index scores and all adverse outcomes. We built a mobile application ("TROUT Index") and shared code publicly. CONCLUSION: The TROUT Index is an interpretable, point-of-care tool to quantify and integrate frailty within clinical decision-making among injured patients. The TROUT Index is not a stand-alone tool to predict outcomes after injury; our tool should be considered in conjunction with injury pattern, clinical management, and within institution-specific workflows. A practical mobile application and publicly available code can facilitate future implementation and external validation studies.

DeepBackRib: Deep learning to understand factors associated with readmissions after rib fractures.

BACKGROUND: Deep neural networks yield high predictive performance, yet obscure interpretability limits clinical applicability. We aimed to build an explainable deep neural network that elucidates factors associated with readmissions after rib fractures among nonelderly adults, termed DeepBackRib . We hypothesized that DeepBackRib could accurately predict readmissions and a game theoretic approach to elucidate how predictions are made would facilitate model explainability. METHODS: We queried the 2017 National Readmissions Database for index hospitalization encounters of adults aged 18 to 64 years hospitalized with multiple rib fractures. The primary outcome was 3-month readmission(s). Study cohort was split 60-20-20 into training-validation-test sets. Model input features included demographic/injury/index hospitalization characteristics and index hospitalization International Classification of Diseases, Tenth Revision , diagnosis codes. The seven-layer DeepBackRib comprised multipronged strategies to mitigate overfitting and was trained to optimize recall. Shapley additive explanation analysis identified the marginal contribution of each input feature for predicting readmissions. RESULTS: A total of 20,260 patients met the inclusion criteria, among whom 11% (n = 2,185) experienced 3-month readmissions. Feature selection narrowed 3,164 candidate input features to 61, and DeepBackRib yielded 91%, 85%, and 82% recall on the training, validation, and test sets, respectively. Shapley additive explanation analysis quantified the marginal contribution of each input feature in determining DeepBackRib's predictions: underlying chronic obstructive pulmonary disease and long index hospitalization length of stay had positive associations with 3-month readmissions, while private primary payer and diagnosis of pneumothorax during index admission had negative associations. CONCLUSION: We developed and internally validated a high-performing deep learning algorithm that elucidates factors associated with readmissions after rib fractures. Despite promising predictive performance, standalone deep learning algorithms are insufficient for clinical prediction tasks: a concerted effort is needed to ensure that clinical prediction algorithms remain explainable. LEVEL OF EVIDENCE: Prognostic and Epidemiological; Level III.

A decade of hospital costs for firearm injuries in the United States by region, 2005-2015: government healthcare costs and firearm policies.

Background: Firearm injuries are a costly, national public health emergency, and government-sponsored programs frequently pay these hospital costs. Understanding regional differences in firearm injury burden may be useful for crafting appropriate policies, especially with widely varying state gun laws. Objective: To estimate the volume of, and hospital costs for, fatal and non-fatal firearm injuries from 2005 to 2015 for each region of the United States and analyze the proportionate cost by payer status. Methods: We used the Healthcare Cost and Utilization Project Nationwide Inpatient Sample to identify patients admitted for firearm-related injuries from 2005 to 2015. We converted hospitalization charges to costs, which were inflation-adjusted to 2015 dollars. We used survey weights to create regional estimates. We used the Brady Gun Law to determine significance between firearm restrictiveness and firearm hospitalizations by region. Results: There were a total of 317 479 firearm related admissions over the study period: 52 829 (16.66%), 66 671 (21.0%), 134 008 (42.2%), and 63 972 (20.2%) for the Northeast, Midwest, South, and West respectively, demonstrating high regional variability. In the Northeast, hospital costs were $1.98 billion (13.9% of total), of which 56.0% was covered by government payers; for the Midwest, costs were $153 billion (19.7% of total), 40.4% of which was covered by government payers; in the South costs were highest at $3.2 billion (41.4% of total), but government payers only covered 34.3%; and costs for the West were $1.94 billion (25.0% of total), with government programs covering 41.6% of the cost burden. Conclusions: Hospital admissions and costs for firearm injuries demonstrated wide variation by region, suggesting opportunities for financial savings. As government insurance programs cover 41.5% of costs, tax dollars heavily subsidize the financial burden of firearm injuries and cost recovery options for treating residents injured by firearms should be considered. Injury control strategies have not been well applied to this national public health crisis. Level of evidence: Level II, Economic and Value Based Evaluation.

Building a Trainee-led Research Community to Propel Academic Productivity in Health Services Research.

Academic productivity is an increasingly important asset for trainees pursuing academic careers. Medical schools and graduate medical education programs offer structured research programs, but providing longitudinal and individualized health services research education remains challenging. Whereas in basic science research, members at multiple training levels support each other within a dedicated community (the laboratory), health services research projects frequently occur within individual faculty-trainee relationships. An optimal match of expertise, availability, and interest may be elusive for an individual mentor-mentee pair. We aimed to share our experience building Surgeons Writing about Trauma (SWAT), a trainee-led research community that propels academic productivity by facilitating peer collaboration and opportunities to transition into independent researchers. We highlight challenges of health services research for trainees, present how structured mentorship and a peer community can address this challenge, and detail SWAT's operational structure to guide replication at peer institutions.

Infection with Two Multi-Drug-Resistant Organisms in Solid Organ Transplant Patients Is Associated with Increased Mortality and Prolonged Hospitalization.

Background: Solid organ transplant recipients have several risk factors for peri-operative multi-drug-resistant infection: their immune system is dampened as a result of critical illness and surgical stress that may be further impaired by induction immunotherapy and broad-spectrum antibiotic prophylaxis promotes selection for resistant pathogens. Infection with multi-drug-resistant organisms (MDRO) results in morbidity and mortality for solid organ transplant recipients. Patients and Methods: To assess in-hospital mortality and hospitalization duration associated with these infections, we analyzed cross-sectional, retrospective data from the 2016 Agency for Healthcare and Quality, Healthcare Cost and Utilization Project's National Inpatient Sample. Our analysis included 31,105 index admissions records for liver, kidney, heart, lung, and pancreas transplant recipients in the United States. Outcomes were assessed by multivariable regression analysis adjusting for covariables. Results: One percent (355/29,451) of patients with diagnosis of no MDRO infections died, 3% (40/1491) with diagnosis of one MDRO infection died, and 15% (25/166) with diagnosis of two MDRO infections died. Diagnosis of one MDRO infection was associated with a 20-day increase in hospitalization duration (95% confidence interval [CI], 17-22) but not increased odds of death (odds ratio [OR], 1.2; 95% CI, 0.5-2.5). Diagnosis of two MDRO infections was associated with an increased odds of death (OR, 9.6' 95% CI, 3.3-27.9) and a 41-day increase in hospitalization duration (95% CI, 34-49). Conclusions: Strategies to decrease peri-operative MDRO infection may improve survival and decrease duration of hospitalization for solid organ transplant patients.