Time to surgical stabilization of rib fractures: does it impact outcomes?

Objectives: Rib fractures are common, morbid, and potentially lethal. Intuitively, if interventions to mitigate downstream effects of rib fractures can be implemented early, likelihood of developing these complications should be reduced. Surgical stabilization of rib fractures (SSRF) is one therapeutic intervention shown to be useful for mitigating complications of these common fractures. Our aim was to investigate for association between time to SSRF and complications among patients with isolated rib fractures undergoing SSRF. Methods: The 2016-2019 American College of Surgeons Trauma Quality Improvement Program (TQIP) database was queried to identify patient >18 years with isolated thoracic injury undergoing SSRF. Patients were divided into three groups: SSRF ≤2 days, SSRF >2 days but <3 days, and SSRF >3 days. Poisson regression, and adjusting for demographic and clinical covariates, was used to evaluate the association between time to SSRF and the primary endpoint, in-hospital complications. Quantile regression was used to evaluate the effects of time to SSRF on the secondary endpoints, hospital and intensive care unit (ICU) length of stay (LOS). Results: Out of 2185 patients, 918 (42%) underwent SSRF <2 days, 432 (20%) underwent SSRF >2 days but <3 days, and 835 (38%) underwent SSRF >3 days. Hemothorax was more common among patients undergoing SSRF >3 days, otherwise all demographic and clinical variables were similar between groups. After adjusting for potential confounding, SSRF >3 days was associated with a threefold risk of composite in-hospital complications (adjusted incidence rate ratio: 3.15, 95% CI 1.76 to 5.62; p<0.001), a 4-day increase in total hospital LOS (change in median LOS: 4.09; 95% CI 3.69 to 4.49, p<0.001), and a nearly 2-day increase in median ICU LOS (change in median LOS: 1.70; 95% CI 1.32 to 2.08, p<0.001), compared with SSRF ≤2 days. Conclusion: Among patients undergoing SSRF in TQIP, earlier SSRF is associated with less in-hospital complications and shorter hospital stays. Standardization of time to SSRF as a trauma quality metric should be considered. Level of evidence: Level II, retrospective.

The Surgical Infection Society Guidelines on the Management of Intra-Abdominal Infection: 2024 Update.

Background: The Surgical Infection Society (SIS) published evidence-based guidelines for the management of intra-abdominal infection (IAI) in 1992, 2002, 2010, and 2017. Here, we present the most recent guideline update based on a systematic review of current literature. Methods: The writing group, including current and former members of the SIS Therapeutics and Guidelines Committee and other individuals with content or guideline expertise within the SIS, working with a professional librarian, performed a systematic review using PubMed/Medline, the Cochrane Library, Embase, and Web of Science from 2016 until February 2024. Keyword descriptors combined "surgical site infections" or "intra-abdominal infections" in adults limited to randomized controlled trials, systematic reviews, and meta-analyses. Additional relevant publications not in the initial search but identified during literature review were included. The Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) system was utilized to evaluate the evidence. The strength of each recommendation was rated strong (1) or weak (2). The quality of the evidence was rated high (A), moderate (B), or weak (C). The guideline contains new recommendations and updates to recommendations from previous IAI guideline versions. Final recommendations were developed by an iterative process. All writing group members voted to accept or reject each recommendation. Results: This updated evidence-based guideline contains recommendations from the SIS for the treatment of adult patients with IAI. Evidence-based recommendations were developed for antimicrobial agent selection, timing, route of administration, duration, and de-escalation; timing of source control; treatment of specific pathogens; treatment of specific intra-abdominal disease processes; and implementation of hospital-based antimicrobial agent stewardship programs. Summary: This document contains the most up-to-date recommendations from the SIS on the prevention and management of IAI in adult patients.

Practical guide to building machine learning-based clinical prediction models using imbalanced datasets.

Clinical prediction models often aim to predict rare, high-risk events, but building such models requires robust understanding of imbalance datasets and their unique study design considerations. This practical guide highlights foundational prediction model principles for surgeon-data scientists and readers who encounter clinical prediction models, from feature engineering and algorithm selection strategies to model evaluation and design techniques specific to imbalanced datasets. We walk through a clinical example using readable code to highlight important considerations and common pitfalls in developing machine learning-based prediction models. We hope this practical guide facilitates developing and critically appraising robust clinical prediction models for the surgical community.

Predicting Increased Incidence of Common Antibiotic-Resistant and Antibiotic-Associated Pathogens Using Ensemble Species Distribution Modeling.

The Centers for Disease Control estimates antibiotic-associated pathogens result in 2.8 million infections and 38,000 deaths annually in the United States. This study applies species distribution modeling to elucidate the impact of environmental determinants of human infectious disease in an era of rapid global change. We modeled methicillin-resistant Staphylococcus aureus and Clostridioides difficile using 31 publicly accessible bioclimatic, healthcare, and sociodemographic variables. Ensemble models were created from 8 unique statistical and machine learning algorithms. Using International Classification of Diseases, 10th Edition codes, we identified 305,528 diagnoses of methicillin-resistant S.aureus and 302,001 diagnoses of C.difficile presence. Three environmental factors - average maximum temperature, specific humidity, and agricultural land density - emerged as major predictors of increased methicillin-resistant S.aureus and C.difficile presence; variables representing healthcare availability were less important. Species distribution modeling may be a powerful tool for identifying areas at increased risk for disease presence and have important implications for disease surveillance systems.

An initiative to assess and improve the resources and patient care processes used among Chest Wall Injury Society collaborative centers study (CWIS-CC2).

BACKGROUND: Over the last two decades, the acute management of rib fractures has changed significantly. In 2021, the Chest Wall injury Society (CWIS) began recognizing centers that epitomize their mission as CWIS Collaborative Centers. The primary aim of this study was to determine the resources, surgical expertise, access to care, and institutional support that are present among centers. METHODS: A survey was performed including all CWIS Collaborative Centers evaluating the resources available at their hospital for the treatment of patients with chest wall injury. Data about each chest wall injury center care process, availability of resources, institutional support, research support, and educational offerings were recorded. RESULTS: Data were collected from 20 trauma centers resulting in an 80% response rate. These trauma centers were made up of 5 international and 15 US-based trauma centers. Eighty percent (16 of 20) have dedicated care team members for the evaluation and management of rib fractures. Twenty-five percent (5 of 20) have a dedicated rib fracture service with a separate call schedule. Staffing for chest wall injury clinics consists of a multidisciplinary team: with attending surgeons in all clinics, 80% (8 of 10) with advanced practice providers and 70% (7 of 10) with care coordinators. Forty percent (8 of 20) of centers have dedicated rib fracture research support, and 35% (7 of 20) have surgical stabilization of rib fracture (SSRF)-related grants. Forty percent (8 of 20) of centers have marketing support, and 30% (8 of 20) have a web page support to bring awareness to their center. At these trauma centers, a median of 4 (1-9) surgeons perform SSRFs. In the majority of trauma centers, the trauma surgeons perform SSRF. CONCLUSION: Considerable similarities and differences exist within these CWIS collaborative centers. These differences in resources are hypothesis generating in determining the optimal chest wall injury center. These findings may generate several patient care and team process questions to optimize patient care, patient experience, provider satisfaction, research productivity, education, and outreach. LEVEL OF EVIDENCE: Therapeutic/Care Management; Level V.

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.

Chest Wall Injury Society recommendation for surgical stabilization of nonunited rib fractures to decrease pain, reduce opiate use, and improve patient reported outcomes in patients with rib fracture nonunion after trauma.

BACKGROUND: Rib fractures are common injuries which can be associated with acute pain and chronic disability. While most rib fractures ultimately go on to achieve bony union, a subset of patients may go on to develop non-union. Management of these nonunited rib fractures can be challenging and variability in management exists. METHODS: The Chest Wall Injury Society's Publication Committee convened to develop recommendations for use of surgical stabilization of nonunited rib fractures (SSNURF) to treat traumatic rib fracture nonunions. PubMed, Embase, and the Cochrane database were searched for pertinent studies. Using a process of iterative consensus, all committee members voted to accept or reject the recommendation. RESULTS: No identified studies compared SSNURF to alternative therapy and the overall quality of the body of evidence was rated as low. Risk of bias was identified in all studies. Despite these limitations, there is lower-quality evidence suggesting that SSNURF may be beneficial for decreasing pain, reducing opiate use, and improving patient reported outcomes among patients with symptomatic rib nonunion. However, these benefits should be balanced against risk of symptomatic hardware failure and infection. CONCLUSION: This guideline document summarizes the current CWIS recommendations regarding use of SSNURF for management of rib nonunion. LEVEL OF EVIDENCE: Therapeutic/Care Management; Level IV.

Surgical Infection Society-Chest Wall Injury Society Recommendations for Management of Surgical Site or Implant-Related Infections After Surgical Stabilization of Traumatic Rib or Sternal Fractures.

Background: Surgical stabilization of rib fractures (SSRF) and surgical stabilization of sternal fractures (SSSF) involves open reduction and internal fixation of fractures with an implantable titanium plate to restore and maintain anatomic alignment. The presence of this foreign, non-absorbable material presents an opportunity for infection. Although surgical site infection (SSI) and implant infection rates after SSRF and SSSF are low, they present a challenging clinical entity. Methods: The Surgical Infection Society's Therapeutics and Guidelines Committee and Chest Wall Injury Society's Publication Committee convened to develop recommendations for management of SSIs or implant-related infections after SSRF or SSSF. PubMed, Embase, Web of Science and the Cochrane database were searched for pertinent studies. Using a process of iterative consensus, all committee members voted to accept or reject each recommendation. Results: For patients undergoing SSRF or SSSF who develop an SSI or an implant-related infection, there is insufficient evidence to suggest a single optimal management strategy. For patients with an SSI, systemic antibiotic therapy, local wound debridement, and vacuum-assisted closure have been used in isolation or combination. For patients with an implant-related infection, initial implant removal with or without systemic antibiotic therapy, systemic antibiotic therapy with local wound drainage, and systemic antibiotic therapy with local antibiotic therapy have been documented. For patients who do not undergo initial implant removal, 68% ultimately require implant removal to achieve source control. Conclusions: Insufficient evidence precludes the ability to recommend guidelines for the treatment of SSI or implant-related infection following SSRF or SSSF. Further studies should be performed to identify the optimal management strategy in this population.

Xanthogranulomatous inflammation requiring small bowel anastomosis revision: A case report.

BACKGROUND: Xanthogranulomatous inflammation (XGI) is an uncommon process involving an accumulation of inflammatory cells, commonly lipid-laden macrophages. XGI has been described to occur throughout the body but only rarely in the lower gastrointestinal tract. We describe a case of XGI contributing to chronic obstructive symptoms in the terminal ileum, in which the patient had an initial diagnostic laparoscopy, continued to have symptoms, then proceeded to have the definitive treatment. To our knowledge, this is the first report of XGI associated with a prior small bowel anastomosis. CASE SUMMARY: We report the case of a 42-year-old female who presented with intermittent epigastric pain and subjective fevers. She had undergone a laparoscopic small bowel resection for Meckel's diverticulum five years prior. Her workup was notable for computed tomography scan demonstrating mild inflammation and surrounding stranding at the level of the prior anastomosis. She underwent a laparotomy, resection of the prior anastomosis and re-anastomosis, with final histopathological examination findings consistent with mural XGI. CONCLUSION: XGI can occur at the site of a prior bowel anastomosis and cause chronic obstructive symptoms.

FasterRib: A deep learning algorithm to automate identification and characterization of rib fractures on chest computed tomography scans.

OBJECTIVE: Characterizing and enumerating rib fractures are critical to informing clinical decisions, yet in-depth characterization is rarely performed because of the manual burden of annotating these injuries on computed tomography (CT) scans. We hypothesized that our deep learning model, FasterRib , could predict the location and percentage displacement of rib fractures using chest CT scans. METHODS: The development and internal validation cohort comprised more than 4,700 annotated rib fractures from 500 chest CT scans within the public RibFrac. We trained a convolutional neural network to predict bounding boxes around each fracture per CT slice. Adapting an existing rib segmentation model, FasterRib outputs the three-dimensional locations of each fracture (rib number and laterality). A deterministic formula analyzed cortical contact between bone segments to compute percentage displacements. We externally validated our model on our institution's data set. RESULTS: FasterRib predicted precise rib fracture locations with 0.95 sensitivity, 0.90 precision, 0.92 f1 score, with an average of 1.3 false-positive fractures per scan. On external validation, FasterRib achieved 0.97 sensitivity, 0.96 precision, and 0.97 f1 score, and 2.24 false-positive fractures per scan. Our publicly available algorithm automatically outputs the location and percent displacement of each predicted rib fracture for multiple input CT scans. CONCLUSION: We built a deep learning algorithm that automates rib fracture detection and characterization using chest CT scans. FasterRib achieved the highest recall and the second highest precision among known algorithms in literature. Our open source code could facilitate FasterRib's adaptation for similar computer vision tasks and further improvements via large-scale external validation. LEVEL OF EVIDENCE: Diagnostic Tests/Criteria; Level III.

Components of Existing National Surgical Site Infection Surveillance Programs Based on a Case Series of Low- and Middle-Income Countries: Building Blocks for Success and Opportunities for Improvement.

Background: Surgical site infection (SSI) surveillance programs are recommended to be included in national infection prevention and control (IPC) programs, yet few exist in low- or middle-income countries (LMICs). Our goal was to identify components of surveillance in existing programs that could be replicated elsewhere and note opportunities for improvement to build awareness for other countries in the process of developing their own national surgical site infection surveillance (nSSIS) programs. Methods: We administered a survey built upon the U.S. Centers for Disease Control and Prevention's framework for surveillance system evaluation to systematically deconstruct logistical infrastructure of existing nSSIS programs in LMICs. Qualitative analyses of survey responses by thematic elements were used to identify successful surveillance system components and recognize opportunities for improvement. Results: Three respondents representing countries in Europe and Central Asia, sub-Saharan Africa, and South Asia designated as upper middle-income, lower middle-income, and low-income responded. Notable strengths described by respondents included use of local paper documentation, staggered data entry, and limited data entry fields. Opportunities for improvement included outpatient data capture, broader coverage of healthcare centers within a nation, improved audit processes, defining the denominator of number of surgical procedures, and presence of an easily accessible, free SSI surveillance training program for healthcare workers. Conclusions: Outpatient post-surgery surveillance, national coverage of healthcare facilities, and training on how to take local SSI surveillance data and integrate it within a broader nSSIS program at the national level remain areas of opportunities for countries looking to implement a nSSIS program.

Pectoralis Major Tendon Rupture While Bouldering.

Pectoralis major tendon ruptures are rare injuries. We present a case of a pectoralis major tendon rupture incurred while bouldering that required surgical repair. The diagnosis of pectoralis major tendon rupture relies predominantly on clinical examination. Among athletes, outcomes after surgical repair are superior to those after nonoperative therapy in most cases of complete tendon rupture. Although infrequent, pectoralis major tendon ruptures can occur while climbing, and early recognition and expedited surgical treatment are paramount to maximize functional recovery.

Female sex is independently associated with reduced inpatient mortality after endovascular repair of blunt thoracic aortic injury.

BACKGROUND: Female sex has been associated with decreased mortality after blunt trauma, but whether sex influences the outcomes of thoracic endovascular aortic repair (TEVAR) for traumatic blunt thoracic aortic injury (BTAI) is unknown. METHODS: In this retrospective study of a prospectively maintained database, the Vascular Quality Initiative registry was queried from 2013 to 2020 for patients undergoing TEVAR for BTAI. Univariate Student's t-tests and χ2 tests were performed, followed by multivariate logistic regression for variables associated with inpatient mortality. RESULTS: Of 806 eligible patients, 211 (26.2%) were female. Female patients were older (47.9 vs 41.8 years, P < .0001) and less likely to smoke (38.3% vs 48.2%, P = .044). Most patients presented with grade III BTAI (54.5% female, 53.6% male), followed by grade IV (19.0% female, 19.5% male). Mean Injury Severity Scores (30.9 + 20.3 female, 30.5 + 18.8 male) and regional Abbreviated Injury Score did not vary by sex. Postoperatively, female patients were less likely to die as inpatients (3.8% vs 7.9%, P = .042) and to be discharged home (41.4% vs 52.2%, P = .008). On multivariate logistic regression, female sex (odds ratio [OR]: 0.05, P = .002) was associated with reduced inpatient mortality. Advanced age (OR: 1.06, P < .001), postoperative transfusion (OR: 1.05, P = .043), increased Injury Severity Score (OR: 1.03, P = .039), postoperative stroke (OR: 9.09, P = .016), postoperative myocardial infarction (OR: 9.9, P = .017), and left subclavian coverage (OR: 2.7, P = .029) were associated with inpatient death. CONCLUSIONS: Female sex is associated with lower odds of inpatient mortality after TEVAR for BTAI, independent of age, injury severity, BTAI grade, and postoperative complications. Further study of the influence of sex on postdischarge outcomes is needed.

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.

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.