Defining the Cross-Volume Effect of Extracorporeal Life Support on Outcomes of Cardiogenic Shock.

BACKGROUND: Cardiogenic shock (CS) remains a leading cause of mortality despite advancements in mechanical circulatory support and other management strategies. In particular, venoarterial extracorporeal membrane oxygenation (ECMO) requires expertise in cardiac surgery, cardiology, and critical care. The benefits of such expertise may extend beyond ECMO patients. METHODS: Adult (≥18 years) hospitalizations with a primary diagnosis of CS, not undergoing ECMO, cardiac operations, durable LVAD, or transplantation, were abstracted from the 2016-2020 Nationwide Readmissions Database. Multivariable regression models were developed to assess the association of cardiac surgical and ECMO institutional caseload with clinical and financial outcomes. RESULTS: Of an estimated 70,339 patients with CS identified for study, 33,643 (47.8%) were treated at a high-volume hospital for ECMO (HVH-ECMO). HVH-ECMO was associated with decreased odds of in-hospital mortality (AOR 0.85, CI 0.75 - 0.95), respiratory complications (AOR 0.86, CI 0.79 - 0.94), and non-home discharge (AOR 0.86, CI 0.79 - 0.94). However, HVH-ECMO was associated with greater LOS by 1.7 days (CI 1.3 - 2.1) and inpatient costs by $9,170 (CI $6,490 - $12,060). While ECMO volume was inversely associated with the predicted risk of in-hospital mortality, institutional volume of cardiac operations was not significantly associated with mortality. CONCLUSIONS: Our findings suggest improved outcomes for CS patients treated at a HVH-ECMO. Multidisciplinary care pathways, including those among surgery, cardiology, and critical care, may influence CS management. Further studies are needed to characterize long-term outcomes of regionalization and ensure equitable access for all populations.

Application of machine learning to predict in-hospital mortality after transcatheter mitral valve repair.

INTRODUCTION: Transcatheter mitral valve repair offers a minimally invasive treatment option for patients at high risk for traditional open repair. We sought to develop dynamic machine-learning risk prediction models for in-hospital mortality after transcatheter mitral valve repair using a national cohort. METHODS: All adult hospitalization records involving transcatheter mitral valve repair were identified in the 2016-2020 Nationwide Readmissions Database. As a result of initial class imbalance, undersampling of the majority class and subsequent oversampling of the minority class using Synthetic Minority Oversampling TEchnique were employed in each cross-validation training fold. Machine-learning models were trained to predict patient mortality after transcatheter mitral valve repair and compared with traditional logistic regression. Shapley additive explanations plots were also developed to understand the relative impact of each feature used for training. RESULTS: Among 2,450 patients included for analysis, the in-hospital mortality rate was 1.8%. Naïve Bayes and random forest models were the best at predicting transcatheter mitral valve repair postoperative mortality, with an area under the receiver operating characteristic curve of 0.83 ± 0.05 and 0.82 ± 0.04, respectively. Both models demonstrated superior ability to predict mortality relative to logistic regression (P < .001 for both). Medicare insurance coverage, comorbid liver disease, congestive heart failure, renal failure, and previous coronary artery bypass grafting were associated with greater predicted likelihood of in-hospital mortality, whereas elective surgery and private insurance coverage were linked with lower odds of mortality. CONCLUSION: Machine-learning models significantly outperformed traditional regression methods in predicting in-hospital mortality after transcatheter mitral valve repair. Furthermore, we identified key patient factors and comorbidities linked with greater postoperative mortality. Future work and clinical validation are warranted to continue improving risk assessment in transcatheter mitral valve repair .

Disparities in neoadjuvant chemotherapy for pancreatic adenocarcinoma with vascular involvement.

Background: Multiagent neoadjuvant chemotherapy (NAT) has been linked with improved survival for locally advanced (LA) or borderline resectable (BR) pancreatic ductal adenocarcinoma (PDAC). However, the existence of disparities in its utilization remains to be elucidated. Methods: All adults with PDAC were tabulated from the 2011-2017 Nationwide Cancer Database. Tumor vascular involvement was determined using the clinical T stage and CS_EXTENSION variables. The significance of temporal trends was calculated using Cuzick's non-parametric test. A Cox proportional hazard model was used to assess the impact of NAT utilization on hazard of two-year mortality. A logistic regression model was developed to determine factors associated with receipt of NAT. Results: Of 3811 patients meeting inclusion criteria, 50.8 % received NAT. NAT utilization significantly increased over the study period, from 31.7 % in 2011 to 81.1 % in 2017 (p < 0.001). NAT was associated with significantly reduced two-year mortality (Hazards Ratio 0.34, 95 % Confidence Interval [CI] 0.18-0.67).After adjustment, younger (Adjusted Odds Ratio [AOR] 0.97/year, CI 0.96-0.98) and Black (AOR 0.65, CI 0.48-0.89; ref: White) patients demonstrated reduced odds of NAT. Furthermore, patients with Medicare (AOR 0.73, CI 0.59-0.90; ref: Private) or Medicaid insurance (AOR 0.67, CI 0.46-0.97; ref: Private) had lower odds of NAT, as did those treated at non-academic institutions (Community: AOR 0.42, CI 0.35-0.52, Integrated: 0.68, CI 0.54-0.85) or in the lowest education quartile (AOR 0.52, CI 0.29-0.95; ref: Highest). Conclusions: We identified increasing utilization of NAT for BR/LA pancreatic adenocarcinoma. Despite being linked with significantly reduced two-year mortality, socioeconomic disparities affect odds of NAT.

Discharge against medical advice in trauma patients: Trends, risk factors, and implications for health care management strategies.

OBJECTIVE: Given the nonelective nature of most trauma admissions, patients who experience trauma are at a particular risk of discharge against medical advice. Despite the risk of unplanned readmission and financial burden on the health care system, discharge against medical advice among hospitalized patients continues to rise. The present study aimed to assess evolving trends and outcomes associated in patients with discharge against medical advice among patients hospitalized for traumatic injury. METHODS: The 2016-2020 Nationwide Readmissions Database was queried to identify all hospitalizations for traumatic injuries. The patient cohort was stratified into those who had discharge against medical advice and those who did not. Temporal trends of discharge against medical advice and associated costs over time were evaluated using nonparametric tests. Multivariable regression models were developed to assess factors associated with discharge against medical advice. Associations of discharge against medical advice with length of stay, hospitalization costs, and unplanned 30-day readmission were subsequently evaluated. RESULTS: Of an estimated 4,969,717 patients, 65,354 (1.3%) had discharge against medical advice after hospitalization for traumatic injury. Over the study period, the incidence of discharge against medical advice increased (nptrend <0.001). After risk adjustment, older age (adjusted odds ratio, 0.98/per year; 95% confidence interval, 0.97-0.98), female sex (adjusted odds ratio, 0.65; 95% confidence interval, 0.64-0.67), and management at high-volume trauma center (adjusted odds ratio, 0.71; 95% confidence interval, 0.69-0.74) were associated with lower odds of discharge against medical advice. Compared with others, discharge against medical advice was associated with decrements in length of stay by 1.3 days (95% confidence interval, 1.1-1.5 days) and index hospitalization costs by $2,200 (5% confidence interval, $1,600-2,900), while having a greater risk of unplanned 30-day readmission (adjusted odds ratio, 2.21; 95% confidence interval, 2.06-2.36). CONCLUSION: The incidence of discharge against medical advice and its associated cost burden have increased in recent years. Community-level interventions and institutional efforts to mitigate discharge against medical advice may improve the quality of care and resource allocation for patients with traumatic injuries.

Interhospital variation in the non-operative management of uncomplicated appendicitis in adults.

Background: Recent randomized trials have suggested non-operative management to be a safe alternative to appendectomy for acute uncomplicated appendicitis. Yet, there remains significant variability in treatment approach. This study sought to characterize center-level variation in non-operative management within a national cohort of adults presenting with appendicitis. Methods: The 2016-2020 Nationwide Readmissions Database was queried to identify all adult (≥18 years) hospitalizations for acute uncomplicated appendicitis. Hierarchical, mixed-effects models were developed to ascertain factors linked with non-operative management. Bayesian methodology was applied to predict random effects, which were then used to rank centers by increasing hospital-attributed rate of non-operative management. Institutions with high center-specific rates of non-operative management (>90th percentile) were considered low-operating hospitals (LOH). Results: Of an estimated 447,500 patients, 52,523 (11.7 %) were managed non-operatively. Compared to those undergoing appendectomy, the non-operative cohort was older, more commonly male, and of a higher comorbidity burden. Approximately 30 % in the variability of non-operative management was attributable to hospital effects, with absolute, risk-adjusted rates ranging from 0.5 to 22.5 %. Centers with non-operative management rates ≥90th percentile were considered LOH.Following risk adjustment, among patients undergoing appendectomy, care at LOH was linked with greater odds of postoperative infection, resource utilization, and non-elective readmission. Conclusions: We identified significant interhospital variation in the utilization of non-operative management for acute uncomplicated appendicitis. Further, we found LOH to be associated with inferior outcomes following surgical management. Future work is needed to assess the care pathways that contribute to increased utilization of non-operative strategies, and disseminate best practices across institutions.

Association of hospital volume and operative approach with clinical and financial outcomes of elective esophagectomy in the United States.

INTRODUCTION: Literature regarding the impact of esophagectomy approach on hospitalizations costs and short-term outcomes is limited. Moreover, few have examined how institutional MIS experience affects costs. We thus examined utilization trends, costs, and short-term outcomes of open and minimally invasive (MIS) esophagectomy as well as assessing the relationship between institutional MIS volume and hospitalization costs. METHODS: All adults undergoing elective esophagectomy were identified from the 2016-2020 Nationwide Readmissions Database. Multiple regression models were used to assess approach with costs, in-hospital mortality, and major complications. Additionally, annual hospital MIS esophagectomy volume was modeled as a restricted cubic spline against costs. Institutions performing > 16 cases/year corresponding with the inflection point were categorized as high-volume hospitals (HVH). We subsequently examined the association of HVH status with costs, in-hospital mortality, and major complications in patients undergoing minimally invasive esophagectomy. RESULTS: Of an estimated 29,116 patients meeting inclusion, 10,876 (37.4%) underwent MIS esophagectomy. MIS approaches were associated with $10,600 in increased incremental costs (95% CI 8,800-12,500), but lower odds of in-hospital mortality (AOR 0.76; 95% CI 0.61-0.96) or major complications (AOR 0.68; 95% CI 0.60, 0.77). Moreover, HVH status was associated with decreased adjusted costs, as well as lower odds of postoperative complications for patients undergoing MIS operations. CONCLUSION: In this nationwide study, MIS esophagectomy was associated with increased hospitalization costs, but improved short-term outcomes. In MIS operations, cost differences were mitigated by volume, as HVH status was linked with decreased costs in the setting of decreased odds of complications. Centralization of care to HVH centers should be considered as MIS approaches are increasingly utilized.

Interhospital variation in the nonoperative management of acute cholecystitis.

BACKGROUND: Cholecystectomy remains the standard management for acute cholecystitis. Given that rates of nonoperative management have increased, we hypothesize the existence of significant hospital-level variability in operative rates. Thus, we characterized patients who were managed nonoperatively at normal and lower operative hospitals (>90th percentile). METHODS: All adult admissions for acute cholecystitis were queried using the 2016-2019 Nationwide Readmissions Database. Centers were ranked by nonoperative rate using multi-level, mixed effects modeling. Hospitals in the top decile of nonoperative rate (>9.4%) were classified as Low Operative Hospitals (LOH; others:nLOH). Separate regression models were created to determine factors associated with nonoperative management at LOH and nLOH. RESULTS: Of an estimated 418,545 patients, 9.9% were managed at 880 LOH. Multilevel modeling demonstrated that 20.6% of the variability was due to hospital factors alone. After adjustment, older age (Adjusted Odds Ratio [AOR] 1.02/year, 95% Confidence Interval [CI] 1.01-1.02) and public insurance (Medicare AOR 1.31, CI 1.21-1.43 and Medicaid AOR 1.43, CI 1.31-1.57; reference: Private Insurance) were associated with nonoperative management at LOH. These were similar at nLOH. At LOH, SNH status (AOR 1.17, CI 1.07-1.28) and small institution size (AOR 1.20, CI 1.09-1.34) were associated with increased odds of nonoperative management. CONCLUSION: We noted a significant variability in the interhospital variation of the nonoperative management of acute cholecystitis. Nevertheless, comparable clinical and socioeconomic factors contribute to nonoperative management at both LOH and non-LOH. Directed strategies to address persistent non-clinical disparities are necessary to minimize deviation from standard protocol and ensure equitable care.

The impact of rurality on racial disparities in costs of bowel obstruction treatment.

Background: Black race has been associated with increased resource utilization after operation for small bowel obstruction (SBO). While prior literature has similarly demonstrated differences between urban and rural institutions, limited work has defined the impact of rurality on resource utilization by race. Methods: The 2016-2020 National Inpatient Sample was used to identify adults undergoing adhesiolysis after non-elective admission for SBO. The primary endpoint was hospitalization costs. Additional outcomes included surgical delay (≥ hospital day 3), length of stay (LOS), and nonhome discharge. Regression models were developed to identify the impact of Black race and rurality on the outcomes of interest with an interaction term to examine the incremental association of Black race on rurality. Results: Of an estimated 132,390 patients, 11.4 % were treated at an annual average of 377 rural hospitals (18.5 % of institutions). After adjustment, rural hospitals had higher costs (ß + $4900, 95 % Confidence Interval [CI] [4200, 5700]), compared to others. However, rurality was associated with reduced odds of surgical delay (Adjusted Odds Ratio [AOR] 0. 76, CI[0.69, 0.85]), decreased LOS (ß -1.66 days, CI[-1.99, -1.36]), and nonhome discharge (AOR 0.78, CI[0.70, 0.87]). While White patients experienced significant cost reductions at urban centers ($26,100 [25,800-26,300] vs $31,000 [30,300-31,700]), this was not noted for Black patients ($30,100 [29,400-30,700] vs $30,800 [29,300-32,400]). Conclusions: We found that Black patients do not benefit from the same cost protection afforded by urban settings as White patients after operative SBO admission. Future work should focus on setting-specific interventions to address drivers of disparities within each community.

Association of socioeconomic vulnerability with clinical and financial outcomes following emergent hernia repair.

BACKGROUND: While race and insurance have been linked with greater likelihood of hernia incarceration and emergent presentation, the association of broader social determinants of health (SDOH) with outcomes following urgent repair remains to be elucidated. STUDY DESIGN: All adult hospitalizations entailing emergent repair for strangulated inguinal, femoral, and ventral hernias were identified in the 2016-2020 Nationwide Readmissions Database. Socioeconomic vulnerability was ascertained using relevant diagnosis codes. Multivariable models were developed to consider the independent associations between socioeconomic vulnerability and study outcomes. RESULTS: Of ∼236,215 patients, 20,306 (8.6 â€‹%) were Vulnerable. Following risk-adjustment, socioeconomic vulnerability remained associated with greater odds of in-hospital mortality, any perioperative complication, increased hospitalization expenditures and higher risk of non-elective readmission. CONCLUSIONS: Among patients undergoing emergent hernia repair, socioeconomic vulnerability was linked with greater morbidity, expenditures, and readmission. As part of patient-centered care, novel screening, postoperative management, and SDOH-informed discharge planning programs are needed to mitigate disparities in outcomes.

Heart Transplantation After Donation After Circulatory Death: Early United States Experience.

BACKGROUND: Given the renewed interest in heart transplantation after donation after circulatory death (DCD), a contemporary analysis of trends and longer-term survival is warranted. METHODS: Adult heart transplant recipients (December 2019-September 2023) were identified in the Organ Procurement and Transplantation Network. Recipients were stratified as donation after brain death (DBD) or DCD. DCD procurements were further classified as direct procurement and perfusion (DCD-DPP) or normothermic regional perfusion (DCD-NRP), based on the declaration of death to cross-clamp interval (≥40 minutes DCD-NRP). The main outcome was posttransplant survival at 1 and 3 years. RESULTS: Of 11,625 transplantations, 792 (7%) involved DCD allografts (249 DCD-NRP, 543 DCD-DPP). The proportion of transplants involving DCD allografts significantly increased from 2% (December 2019) to 11% (January-September 2023, P < .001). Upon adjusted analysis, 1-year posttransplant survival was similar for DBD vs DCD-DPP (hazard ratio [HR], 1.00; 95% CI, 0.66-1.66) or DCD-NRP (HR, 0.92; 95% CI, 0.49-1.72). This remained true at 3 years for DCD-DPP (HR, 1.07; 95% CI, 0.77-1.48) and DCD-NRP (HR, 1.04; 95% CI, 0.62-1.73). Incidence of postoperative stroke, dialysis, acute graft rejection, and primary graft dysfunction were similar across groups. Across various strata of recipient risk and center volume, survival was equivalent between the DBD and DCD cohorts. CONCLUSIONS: Rates of DCD heart transplantation continue to rise. Across various recipient risk and center volume categories, DCD and DBD recipients show comparable posttransplant survival up to 3 years. These findings encourage broader use of such donors in attempts to expand the organ pool.

Demystifying the association of center-level operative trauma volume and outcomes of emergency general surgery.

BACKGROUND: Recent studies have demonstrated a positive volume-outcome relationship in emergency general surgery. Some have advocated for the sub-specialization of emergency general surgery independent from trauma. We hypothesized inferior clinical outcomes of emergency general surgery with increasing center-level operative trauma volume, potentially attributable to overall hospital quality. METHODS: Adults (≥18 years) undergoing complex emergency general surgery operations (large and small bowel resection, repair of perforated peptic ulcer, lysis of adhesions, laparotomy) were identified in the 2016 to 2020 Nationwide Readmissions Database. Multivariable risk-adjusted models were developed to evaluate the association of treatment at a high-volume trauma center (reference: low-volume trauma center) with clinical and financial outcomes after emergency general surgery. To evaluate hospital quality, mortality among adult hospitalizations for acute myocardial infarction was assessed by hospital trauma volume. RESULTS: Of an estimated 785,793 patients undergoing a complex emergency general surgery operation, 223,116 (28.4%) were treated at a high-volume trauma center. Treatment at a high-volume trauma center was linked to 1.19 odds of in-hospital mortality (95% confidence interval 1.12-1.27). Although emergency general surgery volume was associated with decreasing predicted risk of mortality, increasing trauma volume was linked to an incremental rise in the odds of mortality after emergency general surgery. Secondary analysis revealed increased mortality for admissions for acute myocardial infarction with greater trauma volume. CONCLUSION: We note increased mortality for emergency general surgery and acute myocardial infarction in patients receiving treatment at high-volume trauma centers, signifying underlying structural factors to broadly affect quality. Thus, decoupling trauma and emergency general surgery services may not meaningfully improve outcomes for emergency general surgery patients. Our findings have implications for the evolving specialty of emergency general surgery, especially for the safety and continued growth of the acute care surgery model.

Machine learning prediction of hospitalization costs for coronary artery bypass grafting operations.

BACKGROUND: With the steady rise in health care expenditures, the examination of factors that may influence the costs of care has garnered much attention. Although machine learning models have previously been applied in health economics, their application within cardiac surgery remains limited. We evaluated several machine learning algorithms to model hospitalization costs for coronary artery bypass grafting. METHODS: All adult hospitalizations for isolated coronary artery bypass grafting were identified in the 2016 to 2020 Nationwide Readmissions Database. Machine learning models were trained to predict expenditures and compared with traditional linear regression. Given the significance of postoperative length of stay, we additionally developed models excluding postoperative length of stay to uncover other drivers of costs. To facilitate comparison, machine learning classification models were also trained to predict patients in the highest decile of costs. Significant factors associated with high cost were identified using SHapley Additive exPlanations beeswarm plots. RESULTS: Among 444,740 hospitalizations included for analysis, the median cost of hospitalization in coronary artery bypass grafting patients was $43,103. eXtreme Gradient Boosting most accurately predicted hospitalization costs, with R2 = 0.519 over the validation set. The top predictive features in the eXtreme Gradient Boosting model included elective procedure status, prolonged mechanical ventilation, new-onset respiratory failure or myocardial infarction, and postoperative length of stay. After removing postoperative length of stay, eXtreme Gradient Boosting remained the most accurate model (R2 = 0.38). Prolonged ventilation, respiratory failure, and elective status remained important predictive parameters. CONCLUSION: Machine learning models appear to accurately model total hospitalization costs for coronary artery bypass grafting. Future work is warranted to uncover other drivers of costs and improve the value of care in cardiac surgery.

Association of uninsured status and rurality with risk of financial toxicity after pediatric trauma.

BACKGROUND: Pediatric traumatic injury is associated with long-term morbidity as well as substantial economic burden. Prior work has labeled the catastrophic out-of-pocket medical expenses borne by patients as financial toxicity. We hypothesized uninsured rural patients to be vulnerable to exorbitant costs and thus at greatest risk of financial toxicity. METHODS: Pediatric patients (<18 years) experiencing traumatic injury were identified in the 2016-2019 National Inpatient Sample. Patients were considered to be at risk of financial toxicity if their hospitalization cost exceeded 40% of post-subsistence income. Individual family income was computed using a gamma distribution probability density function with parameters derived from publicly available US Census Bureau data, in accordance with prior work. A multivariable logistic regression was developed to assess factors associated with risk of financial toxicity. RESULTS: Of an estimated 225,265 children identified for study, 34,395 (15.3%) were Rural. Rural patients were more likely to experience risk of financial toxicity (29.1 vs 22.2%, P < .001) compared to Urban patients. After adjustment, rurality (reference: urban status; adjusted odds ratio 1.45, 95% confidence interval 1.36-1.55) and uninsured status (reference: private; adjusted odds ratio 1.85, 95% confidence interval 1.67-2.05) remained linked to increased odds of risk of financial toxicity. Specifically among those with private insurance, Rural patients experienced markedly higher predicted risk of financial toxicity, relative to Urban. CONCLUSION: Our findings suggest a complex interplay between rural status and insurance type in the prediction of risk of financial toxicity after pediatric trauma. To target policy interventions, future studies should characterize the patients and communities at greatest risk of financial devastation among rural pediatric trauma patients.

Association of socioeconomic vulnerability with outcomes after emergency general surgery.

PURPOSE: Social determinants of health are increasingly recognized to shape health outcomes. Yet, the effect of socioeconomic vulnerability on outcomes after emergency general surgery remains under-studied. METHODS: All adult (≥18 years) hospitalizations for emergency general surgery operations (appendectomy, cholecystectomy, laparotomy, large bowel resection, perforated ulcer repair, or small bowel resection), within 2 days of non-elective admission were tabulated in the 2016 to 2020 Nationwide Readmissions Database. Socioeconomic vulnerability was defined using relevant diagnosis codes and comprised economic, educational, healthcare, environmental, and social needs. Patients demonstrating socioeconomic vulnerability were considered Vulnerable (others: Non-Vulnerable). Multivariable models were constructed to evaluate the independent associations between socioeconomic vulnerability and key outcomes. RESULTS: Of ∼1,788,942 patients, 177,764 (9.9%) were considered Vulnerable. Compared to Non-Vulnerable, Vulnerable patients were older (67 [55-77] vs 58 years [41-70), P < .001), more often insured by Medicaid (16.4 vs 12.7%, P < .001), and had a higher Elixhauser Comorbidity Index (4 [3-5] vs 2 [1-3], P < .001). After risk adjustment and with Non-Vulnerable as a reference, Vulnerable remained linked with a greater likelihood of in-hospital mortality (adjusted odds ratio 1.64, confidence interval 1.58-1.70) and any perioperative complication (adjusted odds ratio 2.02, confidence interval 1.98-2.06). Vulnerable also experienced a greater duration of stay (ß+4.64 days, confidence interval +4.54-4.74) and hospitalization costs (ß+$1,360, confidence interval +980-1,740). Further, the Vulnerable cohort demonstrated increased odds of non-home discharge (adjusted odds ratio 2.44, confidence interval 2.38-2.50) and non-elective readmission within 30 days of discharge (adjusted odds ratio 1.29, confidence interval 1.26-1.32). CONCLUSION: Socioeconomic vulnerability is independently associated with greater morbidity, resource use, and readmission after emergency general surgery. Novel interventions are needed to build hospital screening and care pathways to improve disparities in outcomes.

Trends and associated outcomes of fat embolism after trauma surgery.

BACKGROUND: Fat embolism is a life-threatening complication often occurring in patients with traumatic injuries. However, temporal trends and perioperative outcomes of fat embolism remain understudied. Using a nationally representative cohort, we aimed to characterize temporal trends of fat embolism and its associated resource utilization in operatively managed trauma patients. METHODS: All patients (≥18 years) undergoing any major operations after traumatic injuries were tabulated using the 2005 to 2020 National Inpatient Sample. Patients were stratified into those with fat embolism and those without. Multivariable logistic and linear regressions were developed to assess the association between fat embolism and outcomes of interest. RESULTS: Of an estimated 10,600,000 hospitalizations, 7,479 (0.07%) patients had fat embolism. Compared to the non-fat embolism cohort, the fat embolism cohort was younger (55 [26-79] vs 69 [49-82] years, standard mean difference = 0.46) and more likely to receive treatment at a high-volume trauma center (42.9 vs 33.7%, standard mean difference = 0.19). Over the study period, there was an increase in annual mortality and hospitalization costs among the fat embolism group (nptrend <0.001). After risk adjustment, fat embolism was associated with greater odds of mortality (adjusted odds ratio: 2.65, 95% confidence interval: 2.24-3.14) compared to others. Additionally, fat embolism was associated with increased odds of cerebrovascular, infectious, and renal complications. CONCLUSION: Among all operatively managed trauma patients, those who developed fat embolism had increased mortality, rates of complications, length of stay, and costs. Optimization of early and accurate identification of fat embolism is warranted to mitigate complications and improve resource allocation among trauma patients.

Nationwide Trends in Utilization of Minimally Invasive Techniques for Blunt Abdominal Trauma.

BACKGROUND: Despite increasing use of minimally invasive surgical (MIS) techniques for trauma, limited large-scale studies have evaluated trends, outcomes, and resource utilization at centers that utilize MIS modalities for blunt abdominal trauma. METHODS: Operative adult admissions after blunt assault, falls, or vehicular collisions were tabulated from the 2016-2020 National Inpatient Sample. Patients who received diagnostic laparoscopy or other laparoscopic and robotic intervention were classified as MIS. Institutions with at least one MIS trauma operation in a year were defined as an MIS Performing Institution (MPI; rest: non-MPI). The primary endpoint was mortality, with secondary outcomes of reoperation, complication, postoperative length of stay (LOS), and hospitalization costs. Mixed regression models were used to determine the association of MPI status on the outcomes of interest. RESULTS: Throughout the study period, the proportion of MIS operations and MPI significantly increased from 22.6 to 29.8% and 45.9 to 58.8%, respectively. Of an estimated 77,480 patients, 66.7% underwent care at MPI. After adjustment, MPI status was not associated with increased odds of mortality (adjusted odds ratio [AOR] 1.09, 95% confidence interval [CI] [.96,1.24]), reoperation (AOR 1.02, CI [.87,1.19]), or any of the tabulated complications. There was additionally no difference in adjusted LOS (ß-.18, CI [-.85, +.49]) or costs (ß+$1600, CI [-1600, +4800]), between MPI and non-MPI. DISCUSSION: The use of MIS operations in blunt abdominal trauma has significantly increased, with performing centers experiencing no difference in mortality or resource utilization. Prospectively collected data on outcomes following MIS trauma surgery is necessary to elucidate appropriate applications.

Persistent Racial Disparities in Morbidity Following Major Elective Operations.

Introduction: Despite considerable national attention, racial disparities in surgical outcomes persist. We sought to consider whether race-based inequities in outcomes following major elective surgery have improved in the contemporary era. Methods: All adult hospitalization records for elective coronary artery bypass grafting, abdominal aortic aneurysm repair, colectomy, and hip replacement were tabulated from the 2016-2020 National Inpatient Sample. Patients were stratified by Black or White race. To consider the evolution in outcomes, we included an interaction term between race and year. We designated centers in the top quartile of annual procedural volume as high-volume hospitals (HVH). Results: Of ∼2,838,485 patients, 245,405 (8.6%) were of Black race. Following risk-adjustment, Black race was linked with similar odds of in-hospital mortality, but increased likelihood of major complications (Adjusted Odds Ratio [AOR] 1.41, 95%Confidence Interval [CI] 1.36-1.47). From 2016-2020, overall risk-adjusted rates of major complications declined (patients of White race: 9.2% to 8.4%; patients of Black race 11.8% to 10.8%, both P < .001). Yet, the delta in risk of adverse outcomes between patients of White and Black race did not significantly change. Of the cohort, 158,060 (8.4%) were treated at HVH. Following adjustment, Black race remained associated with greater odds of morbidity (AOR 1.37, CI 1.23-1.52; Ref:White). The race-based difference in risk of complications at HVH did not significantly change from 2016 to 2020. Conclusion: While overall rates of complications following major elective procedures declined from 2016 to 2020, patients of Black race faced persistently greater risk of adverse outcomes. Novel interventions are needed to address persistent racial disparities and ensure acceptable outcomes for all patients.

Utilization of minimally invasive colectomy at safety-net hospitals in the United States.

BACKGROUND: Prior literature has reported inferior surgical outcomes and reduced access to minimally invasive procedures at safety-net hospitals. However, this relationship has not yet been elucidated for elective colectomy. We sought to characterize the association between safety-net hospitals and likelihood of minimally invasive resection, perioperative outcomes, and costs. METHODS: All adult (≥18 years) hospitalization records entailing elective colectomy were identified in the 2016-2020 National Inpatient Sample. Centers in the top quartile of safety-net burden were considered safety-net hospitals (others: non-safety-net hospitals). Multivariable regression models were developed to assess the impact of safety-net hospitals status on key outcomes. RESULTS: Of ∼532,640 patients, 95,570 (17.9%) were treated at safety-net hospitals. The safety-net hospitals cohort was younger and more often of Black race or Hispanic ethnicity. After adjustment, care at safety-net hospitals remained independently associated with reduced odds of minimally invasive surgery (adjusted odds ratio 0.92; 95% confidence interval 0.87-0.97). The interaction between safety-net hospital status and race was significant, such that Black race remained linked with lower odds of minimally invasive surgery at safety-net hospitals (reference: White race). Additionally, safety-net hospitals was associated with greater likelihood of in-hospital mortality (adjusted odds ratio 1.34, confidence interval 1.04-1.74) and any perioperative complication (adjusted odds ratio 1.15, confidence interval 1.08-1.22), as well as increased length of stay (ß+0.26 days, confidence interval 0.17-0.35) and costs (ß+$2,510, confidence interval 2,020-3,000). CONCLUSION: Care at safety-net hospitals was linked with lower odds of minimally invasive colectomy, as well as greater complications and costs. Black patients treated at safety-net hospitals demonstrated reduced likelihood of minimally invasive surgery, relative to White patients. Further investigation is needed to elucidate the root causes of these disparities in care.

Interhospital Transfer for Emergency General Surgery: A Contemporary National Analysis.

BACKGROUND: Patients undergoing emergency general surgery (EGS) often require complex management and transfer to higher acuity facilities, especially given increasing national efforts aimed at centralizing care. We sought to characterize factors and evaluate outcomes associated with interhospital transfer using a contemporary national cohort. METHODS: All adult hospitalizations for EGS (appendectomy, cholecystectomy, laparotomy, lysis of adhesions, small/large bowel resection, and perforated ulcer repair) ≤2 days of admission were identified in the 2016-2020 National Inpatient Sample. Patients initially admitted to a different institution and transferred to the operating hospital comprised the Transfer cohort (others: Non-Transfer). Multivariable models were developed to consider the association of Transfer with outcomes of interest. RESULTS: Of ∼1 653 169 patients, 107 945 (6.5%) were considered the Transfer cohort. The proportion of patients experiencing interhospital transfer increased from 5.2% to 7.7% (2016-2020, P < .001). On average, Transfer was older, more commonly of White race, and of a higher Elixhauser comorbidity index. After adjustment, increasing age, living in a rural area, receiving care in the Midwest, and decreasing income quartile were associated with greater odds of interhospital transfer. Following risk adjustment, Transfer remained linked with increased odds of in-hospital mortality (AOR 1.64, CI 1.49-1.80), as well as any perioperative complication (AOR 1.33, CI 1.27-1.38; Reference: Non-Transfer). Additionally, Transfer was associated with significantly longer duration of hospitalization (ß + 1.04 days, CI + .91-1.17) and greater costs (ß+$3,490, CI + 2840-4140). DISCUSSION: While incidence of interhospital transfer for EGS is increasing, transfer patients face greater morbidity and resource utilization. Novel interventions are needed to optimize patient selection and improve post-transfer outcomes.

Machine learning based predictive modeling of readmissions following extracorporeal membrane oxygenation hospitalizations.

Background: Despite increasing utilization and survival benefit over the last decade, extracorporeal membrane oxygenation (ECMO) remains resource-intensive with significant complications and rehospitalization risk. We thus utilized machine learning (ML) to develop prediction models for 90-day nonelective readmission following ECMO. Methods: All adult patients receiving ECMO who survived index hospitalization were tabulated from the 2016-2020 Nationwide Readmissions Database. Extreme Gradient Boosting (XGBoost) models were developed to identify features associated with readmission following ECMO. Area under the receiver operating characteristic (AUROC), mean Average Precision (mAP), and the Brier score were calculated to estimate model performance relative to logistic regression (LR). Shapley Additive Explanation summary (SHAP) plots evaluated the relative impact of each factor on the model. An additional sensitivity analysis solely included patient comorbidities and indication for ECMO as potential model covariates. Results: Of ∼22,947 patients, 4495 (19.6 %) were readmitted nonelectively within 90 days. The XGBoost model exhibited superior discrimination (AUROC 0.64 vs 0.49), classification accuracy (mAP 0.30 vs 0.20) and calibration (Brier score 0.154 vs 0.165, all P < 0.001) in predicting readmission compared to LR. SHAP plots identified duration of index hospitalization, undergoing heart/lung transplantation, and Medicare insurance to be associated with increased odds of readmission. Upon sub-analysis, XGBoost demonstrated superior disclination compared to LR (AUROC 0.61 vs 0.60, P < 0.05). Chronic liver disease and frailty were linked with increased odds of nonelective readmission. Conclusions: ML outperformed LR in predicting readmission following ECMO. Future work is needed to identify other factors linked with readmission and further optimize post-ECMO care among this cohort.