Hospital volume does not mitigate the impact of area socioeconomic deprivation on heart transplantation outcomes.

BACKGROUND: While structural socioeconomic inequity has been linked with inferior health outcomes, some have postulated reduced access to high-quality care to be the mediator. We assessed whether treatment at high-volume centers (HVC) would mitigate the adverse impact of area deprivation on heart transplantation (HT) outcomes. METHODS: All HT recipients ≥18 years were identified in the 2005-2022 Organ Procurement and Transplantation Network. Neighborhood socioeconomic deprivation was assessed using the previously validated Area Deprivation Index. Recipients with scores in the highest quintile were considered Most Deprived (others: Less Deprived). Hospitals in the highest quartile by cumulative center volume (≥21 transplants/year) were classified as HVC. The primary outcome was post-transplant survival. RESULTS: Of 38,022 HT recipients, 7,579 (20%) were considered Most Deprived. Following risk adjustment, Most Deprived demonstrated inferior survival at 3 (hazard ratio [HR] 1.14, 95% confidence interval [CI] 1.06-1.21) and 5 years following transplantation (HR 1.13, CI 1.07-1.20). Similarly, Most Deprived faced greater graft failure at 3 (HR 1.14, CI 1.06-1.22) and 5 years (HR 1.13, CI 1.07-1.20). Evaluating patients transplanted at HVC, Most Deprived continued to face greater mortality at 3 (HR 1.10, CI 1.01-1.21) and 5 years (HR 1.10, CI 1.01-1.19). The interaction between Most Deprived status and care at HVC was not significant, such that transplantation at HVC did not ameliorate the survival disparity between Most and Less Deprived. CONCLUSIONS: Area socioeconomic disadvantage is independently associated with inferior survival. Transplantation at HVC did not eliminate this inequity. Future efforts are needed to increase engagement with longitudinal follow-up care and address systemic root causes to improve outcomes.

Outcomes of surgery for inflammatory bowel disease among patients with psychiatric disorders.

BACKGROUND: Psychiatric disorders (PDs) are common among patients with inflammatory bowel disease (IBD). Brain-gut dysfunction and psychotropic medications may have adverse effects on postoperative outcomes in patients with IBD. This study aimed to evaluate the association between PD and outcomes after surgery for IBD. METHODS: This was a retrospective study of adult patients with IBD who underwent small bowel, colon, or rectal resection in the 2016 to 2021 Nationwide Readmissions Database. PDs, including psychotic, mood, anxiety, eating, sleep, personality, and childhood-onset behavioral disorders, were identified. Records about colorectal cancer were excluded. Multivariate regressions were used to examine the association of PD with outcomes. RESULTS: Of 81,955 patients included in the study, 21,800 (26.6%) had PDs. On risk adjustment, PD was associated with significantly increased postoperative ileus (adjusted odds ratio [AOR], 1.11; 95% CI, 1.03-1.19), length of stay (ß, +1.4 days; 95% CI, 1.1-1.7), and costs (ß, +$2100; 95% CI, $1200-$3100) compared with no PD. In addition, patients with PDs experienced increased odds of nonhome discharge (AOR, 1.23; 95% CI, 1.12-1.34) and 30-day readmission (AOR, 1.32; 95% CI, 1.22-1.43). Over the study period, the prevalence of PDs significantly increased from 24.3% to 28.5% (P < .001), along with an increase in the rates of ileus among patients with PDs (8.1%-15.8%; P < .001). CONCLUSION: PD is associated with a significantly greater burden of adverse clinical and financial outcomes after IBD operations. Given the growing prevalence of mental health conditions among patients with IBD, further efforts to optimize preoperative psychiatric care may enhance the quality of colorectal surgery.

Development of a Surgery-Specific Comorbidity Score for Use in Administrative Data.

OBJECTIVE: To create a novel comorbidity score tailored for surgical database research. SUMMARY BACKGROUND DATA: Despite their use in surgical research, the Elixhauser (ECI) and Charlson Comorbidity Indices (CCI) were developed nearly four decades ago utilizing primarily non-surgical cohorts. METHODS: Adults undergoing 62 operations across 14 specialties were queried from the 2019 National Inpatient Sample (NIS) using International Classification of Diseases, 10th Revision (ICD-10) codes. ICD-10 codes for chronic diseases were sorted into Clinical Classifications Software Refined (CCSR) groups. CCSR with non-zero feature importance across four machine learning algorithms predicting in-hospital mortality were used for logistic regression; resultant coefficients were used to calculate the Comorbid Operative Risk Evaluation (CORE) score based on previously validated methodology. Areas under the receiver operating characteristic (AUROC) with 95% Confidence Intervals (CI) were used to compare model performance in predicting in-hospital mortality for the CORE score, ECI, and CCI. Validation was performed using the 2016-2018 NIS, combined 2018-2019 Florida and New York State Inpatient Databases (SID), and 2016-2022 institutional data. RESULTS: 699,155 records from the 2019 NIS were used for model development. The CORE score better predicted in-hospital mortality compared to the ECI within the NIS (0.90, 95%CI:0.90-0.90 vs. 0.84, 95%CI:0.84-0.84), SID (0.91, 95%CI:0.90-0.91 vs. 0.86, 95%CI:0.86-0.87), and institutional (0.88, 95%CI:0.87-0.89 vs. 0.84, 95%CI:0.83-0.85) databases (all P<0.001). Likewise, it outperformed the CCI for the NIS (0.76, 95%CI:0.76-0.76), SID (0.78, 95%CI:0.77-0.78), and institutional (0.62, 95%CI:0.60-0.64) cohorts (all P<0.001). CONCLUSIONS: The CORE score may better predict in-hospital mortality after surgery due to comorbid diseases in outcome-based research.

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 outcomes of colorectal cancer surgery among adults with intellectual and developmental disabilities.

BACKGROUND: Disparities in colorectal cancer screening have been documented among people with intellectual and developmental disabilities (IDD). However, surgical outcomes in this population have yet to be studied. The present work aimed to evaluate the association of IDD with outcomes following colorectal cancer resection. METHODS: All adults undergoing resection for colorectal cancer in the 2011-2020 National Inpatient Sample were identified. Multivariable linear and logistic regression models were developed to examine the association of IDD with risk factors as well as outcomes including mortality, complications, costs, length of stay (LOS), and non-home discharge. The study is limited by its retrospective nature and did not capture disease staging or time of diagnosis. RESULTS: Among 722,736 patients undergoing colorectal cancer resection, 2,846 (0.39%) had IDD. Compared to patients without IDD, IDD patients were younger and had a higher burden of comorbidities. IDD status was associated with increased odds of non-elective admission (AOR 1.40 [95% CI 1.14-1.73]) and decreased odds of treatment at high-volume centers (AOR 0.64 [95% CI 0.51-0.81]). Furthermore, IDD patients experienced significantly greater LOS (9 vs 6 days, p<0.001) and hospitalization costs ($23,500 vs $19,800, p<0.001) relative to neurotypical patients. Upon risk adjustment, IDD was significantly associated with 2-fold increased odds of mortality (AOR 2.34 [95% CI 1.48-3.71]), 1.4-fold increase in complications (AOR 1.41 [95% CI 1.15-1.74]), and 6.8-fold increase in non-home discharge (AOR 6.83 [95% CI 5.46-8.56]). CONCLUSIONS: IDD patients undergoing colorectal cancer resection experience increased likelihood of non-elective admission, adverse clinical outcomes, and resource use. Our findings highlight the need for more accessible screening and patient-centered interventions to improve quality of surgical care for this at-risk population.

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.

Center-level variation in hospitalization costs of pancreaticoduodenectomy for pancreatic cancer.

BACKGROUND: Pancreaticoduodenectomy is a highly morbid operation with significant resource utilization. Using a national cohort, we examined the interhospital variation in pancreaticoduodenectomy hospitalization cost in the United States. METHODS: Adults undergoing elective pancreaticoduodenectomy in the setting of pancreatic cancer were tabulated from the 2016-2020 Nationwide Readmissions Database. A 2-level mixed-effects model was developed to evaluate the interhospital variation in pancreaticoduodenectomy hospitalization costs. Institutions within the top decile of risk-adjusted expenditures were defined as high-cost hospitals. Multivariable regression models were fitted to examine the association between high-cost hospital status and outcomes of interest. To account for the effects of complications on expenditures, a subgroup analysis comprising of patients with no adverse events was conducted. RESULTS: The study included an estimated 24,779 patients with a median hospitalization cost of $38,800. After mixed-effects modeling, 40.9% of the cost variation was attributable to hospital, rather than patient, factors. Multivariable regression models revealed an association between high-cost hospital status and greater odds of complications and longer length of stay. Among patients without an adverse event, interhospital cost variation remained significant at 61.0%, and treatment at high-cost hospitals was similarly linked to longer length of stay. CONCLUSION: Our study identified significant interhospital variation in pancreaticoduodenectomy hospitalization costs in the United States. Although high-cost hospital status was associated with increased odds of complications, variation remained significant even among patients without an adverse event. These results suggest the important role of hospital practices as contributors to expenditures. Further efforts to identify drivers of costs and standardize pancreatic surgical care are warranted.

Timing of Noncardiac Surgery Following Transcatheter Aortic Valve Replacement: A National Analysis.

BACKGROUND: The optimal timing of noncardiac surgery (NCS) following transcatheter aortic valve replacement (TAVR) for aortic stenosis has not been elucidated by current national guidelines. OBJECTIVES: The aim of this study was to evaluate the effect of the time interval between TAVR and NCS (Δt) on the perioperative risk of major adverse events (MAEs). METHODS: All adult admissions for isolated TAVR for aortic stenosis were identified in the 2016 to 2020 Nationwide Readmissions Database. Patients who received NCS on subsequent admission were included for analysis and grouped by Δt as follows: ≤30, 31 to 60, 61 to 90, and >90 days. Multivariable regression models were constructed to examine the association of Δt with ensuing outcomes. RESULTS: Of 3,098 patients (median age = 79 years, 41.6% female), 19.1% underwent NCS at ≤30 days, 22.9% at 31 to 60 days, 16.7% at 61 to 90 days, and 41.3% at >90 days. After adjustment, the odds of MAEs were similar for operations performed at ≤30 days (adjusted OR [AOR]: 1.05; 95% CI: 0.74-1.50), 31 to 60 days (AOR: 0.97; 95% CI: 0.71-1.31), and 61 to 90 days (AOR: 0.95; 95% CI: 0.67-1.34), with those at >90 days as reference. When examining the average marginal effect of the interval to surgery, risk-adjusted MAE rates were statistically similar across Δt groups for elective status and NCS risk category combinations. CONCLUSIONS: NCS within 30, 31 to 60, or 61 to 90 days after TAVR was not associated with increased odds of MAEs compared with operations after 90 days irrespective of NCS risk category or elective status. Our findings suggest that the interval between NCS and TAVR may not be an accurate predictor of MAE risk in this population.

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.

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 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.

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.

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.

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.

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.

Clinical and financial outcomes associated with the utilization of right internal mammary artery versus radial artery in multivessel coronary artery bypass grafting.

BACKGROUND: Multi-arterial coronary bypass grafting with the left internal mammary artery as a conduit has been shown to offer superior long-term survival compared to single-arterial coronary bypass grafting. Nevertheless, the selection of a secondary conduit between the right internal mammary artery and the radial artery remains controversial. Using a national cohort, we examined the relationships between the right internal mammary artery and the radial artery with acute clinical and financial outcomes. METHODS: Adults undergoing on-pump multivessel coronary bypass grafting with left internal mammary artery as the first arterial conduit were identified in the 2016 to 2020 Nationwide Readmissions Database. Patients receiving either the right internal mammary artery or the radial artery, but not both, were included in the analysis. Multivariable regression models were fitted to examine the association between the conduits and in-hospital mortality, as well as additional secondary outcomes. RESULTS: Of an estimated 49,798 patients undergoing multi-arterial coronary bypass grafting, 29,729 (59.7%) comprised the radial artery cohort. During the study period, the proportion of multi-arterial coronary bypass grafting utilizing the radial artery increased from 51.3% to 65.2% (nptrend <0.001). Following adjustment, the radial artery was associated with reduced odds of in-hospital mortality (adjusted odds ratio 0.44), prolonged mechanical ventilation (adjusted odds ratio 0.78), infectious complications (adjusted odds ratio 0.69), and 30-day nonelective readmission (adjusted odds ratio 0.77, all P < .05). CONCLUSION: Despite no definite endorsement from surgical societies, the radial artery is increasingly utilized as a secondary conduit in multi-arterial coronary bypass grafting. Compared to the right internal mammary artery, the radial artery was associated with lower odds of in-hospital mortality, complications, and reduced healthcare expenditures. These results suggest that whenever feasible, the radial artery should be the favored conduit over the right internal mammary artery. Nevertheless, future studies examining long-term outcomes associated with these vessels remain necessary.

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.

A National Analysis of Alcohol Withdrawal Syndrome in Patients with Operative Trauma.

Background: Alcohol withdrawal syndrome (AWS) presents with a complex spectrum of clinical manifestations that complicate postoperative management. In trauma setting, subjective screening for AWS remains challenging due to the criticality of injury in these patients. We thus identified several patient characteristics and perioperative outcomes associated AWS development. Methods: The 2016-2020 National Inpatient Sample was queried to identify all non-elective adult (≥18 years) hospitalizations for blunt or penetrating trauma undergoing operative management with a diagnosis of AWS. Patients with traumatic brain injury or with a hospital duration of stay <2 days were excluded. Outcomes of interest included in-hospital mortality, perioperative complications, hospitalization costs, length of stay (LOS) and non-home discharge. Results: Of an estimated 2,965,079 operative trauma hospitalizations included for analysis, 36,415 (1.23 %) developed AWS following admission. The AWS cohort demonstrated increased odds of mortality (Adjusted Odds Ratio [AOR] 1.46, 95 % Confidence Interval [95 % CI] 1.23-1.73), along with infectious (AOR 1.73, 95 % CI 1.58-1.88), cardiac (AOR 1.24, 95 % CI 1.06-1.46), and respiratory (AOR 1.96, 95 % CI 1.81-2.11) complications. AWS was associated with prolonged LOS, (ß: 3.3 days, 95 % CI: 3.0 to 3.5), greater cost (ß: +$8900, 95 % CI $7900-9800) and incremental odds of nonhome discharge (AOR 1.43, 95 % CI 1.34-1.53). Furthermore, male sex, Medicaid insurance status, head injury and thoracic operation were linked with greater odds of development of AWS. Conclusion: In the present study, AWS development was associated with increased odds of in-hospital mortality, perioperative complications, and resource burden. The identification of patient and operative characteristics linked with AWS may improve screening protocols in trauma care.