National analysis of outcomes in timing of cholecystectomy for acute cholangitis.

BACKGROUND: The present study aimed to compare outcomes between cholecystectomy on index versus delayed admission for acute cholangitis. METHODS: The 2011-2020 Nationwide Readmissions Database was used to identify adult patients admitted for acute cholangitis who underwent cholecystectomy. Study cohorts were defined based on timing of surgery. Multivariable regressions and Royston-Parmar time-adjusted analysis were used to evaluate the association of cholecystectomy timing and outcomes. RESULTS: Of 65,753 patients, 82.0 â€‹% received surgery on Index and 18.0 â€‹% on Delayed admissions. Following adjustment, Delayed operation was associated with significantly increased odds of mortality (AOR 1.67 [95 â€‹% CI 1.10-2.54]), complications (1.25 [1.13-1.40]), repair of bile duct injury (1.66 [1.15-2.41]), conversion to open (1.69 [1.48-1.93]), and 30-day readmission (3.52 [3.21-3.86]). The Delayed cohort experienced a +$14,200 increment in hospitalization costs relative to Index. CONCLUSIONS: Delayed cholecystectomy for acute cholangitis is significantly associated with adverse postoperative outcomes, suggesting that index cholecystectomy may be safe to perform.

Association of Frailty With Clinical and Financial Outcomes Following Liver Transplantation.

INTRODUCTION: Frailty, a measure of physiological aging and reserve, has been validated as a prognostic indicator of mortality in patients with cirrhosis. However, large-scale analyses of the independent association of frailty with clinical and financial outcomes following liver transplantation (LT) are lacking. METHODS: Adults (≥18 years) undergoing LT were identified in the 2016-2020 National Readmissions Database. Frailty was defined using the binary Johns Hopkins Adjusted Clinical Groups frailty indicator. Multivariable linear and logistic regression models were developed to evaluate the independent association of frailty with in-hospital mortality, perioperative complications, and costs. RESULTS: Of an estimated 34 442 patients undergoing LT, 8265 (24%) were frail. After adjustment, frailty was associated with greater odds of mortality (adjusted odds ratio [AOR] 1.80; 95% Confidence Interval [CI]: 1.49-1.18), postoperative length of stay (ß + 11 days; 95% CI: +10, +12), and hospitalization costs (+$86 880; 95% CI: +75 660, +98 100), as well as a two-fold increase in relative risk of nonhome discharge (AOR 2.17, 95% CI: 1.90-2.49). CONCLUSIONS: Frailty is associated with an increased risk of in-hospital mortality, complications, and resource utilization among LT recipients. As the proportion of frail LT patients continues to rise, our findings underscore the need for novel risk-stratification and individualized care protocols for such vulnerable patients.

Beyond American College of Surgeons Verification: Quality Metrics Associated with High Performance at Level I and II Trauma Centers.

INTRODUCTION: The American College of Surgeons (ACS) Committee on Trauma has established a framework for trauma center quality improvement. Despite efforts, recent studies show persistent variation in patient outcomes across national trauma centers. We aimed to investigate whether risk-adjusted mortality varies at the hospital level and if high-performing centers demonstrate better adherence to ACS Verification, Review, and Consultation (VRC) program quality measures. METHODS: We analyzed data from the 2018-2021 ACS TQIP Participant Use Files, focusing on adult admissions at ACS-verified Level I or II trauma centers for blunt, penetrating, or isolated traumatic brain injury. We used mixed-effects models to assess center-specific risk-adjusted mortality and identified high-performing centers (HPTC), defined as those with the lowest decile of overall risk-adjusted mortality. We compared patient and hospital characteristics, outcomes, and adherence to ACS-VRC quality measures between HPTC and non-HPTC. RESULTS: Over the study period, 1,498,602 patients across 442 Level I and II trauma centers met inclusion criteria: 65.3% presenting with blunt injury, 9.3% with penetrating injury, and 25.4% with isolated TBI. Management at HPTC was associated with lower odds of major complications, failure-to-rescue and takeback. Furthermore, HPTC status was associated with increased odds of adherence to several ACS-VRC quality measures, including balanced resuscitation (Odds Ratio [OR] 1.40, 95%Confidence Interval [CI] 1.29-1.51), appropriate pediatric admissions (OR 1.88, 95%CI 1.07-3.68), and substance abuse screening (AOR 1.14, 95%CI 1.12-1.16). CONCLUSION: Significant variation in risk-adjusted mortality persists across trauma centers. Given the association between adherence to quality measures and high-performance, multidisciplinary efforts to refine and implement guidelines are warranted.

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.

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 patients undergoing ECMO. METHODS: Hospitalizations in adults (aged ≥18 years) with a primary diagnosis of CS who were not undergoing ECMO, cardiac operations, durable left ventricular assist device therapy, or heart 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 (adjusted odds ratio [aOR], 0.85; 95% CI, 0.75-0.95), respiratory complications (aOR, 0.86; 95% CI, 0.79-0.94), and nonhome discharge (aOR, 0.86; 95% CI, 0.79-0.94). However, HVH-ECMO was associated with a longer length of stay by 1.7 days (95% CI, 1.3-2.1) and higher inpatient costs by $9170 (95% CI, $6,490-$12,060). Although 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 patients with CS who were treated at an 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.

Failure to rescue following emergency general surgery: A national analysis.

Background: Failure to rescue (FTR) is increasingly recognized as a quality metric but remains understudied in emergency general surgery (EGS). We sought to identify patient and operative factors associated with FTR to better inform standardized metrics to mitigate this potentially preventable event. Methods: All adult (≥18 years) non-elective hospitalizations for large bowel resection, small bowel resection, repair of perforated ulcer, laparotomy and lysis of adhesions were identified in the 2016-2020 National Readmissions Database. Patients undergoing trauma-related operations or procedures ≤2 days of admission were excluded. FTR was defined as in-hospital death following acute kidney injury requiring dialysis (AKI), myocardial infarction, pneumonia, respiratory failure, sepsis, stroke, or thromboembolism. Multilevel mixed-effect models were developed to assess factors linked with FTR. Results: Among 826,548 EGS operations satisfying inclusion criteria, 298,062 (36.1 %) developed at least one MAE. Of those experiencing MAE, 43,477 (14.6 %) ultimately did not survive to discharge (FTR). Following adjustment for fixed hospital level effects, only 3.5 % of the variance in FTR was attributable to center-level differences. Relative to private insurance and the highest income quartile, Medicaid insurance (AOR 1.33; 95%CI, 1.23-1.43) and the lowest income quartile (AOR 1.22; 95%CI, 1.17-1.29) were linked with increased odds of FTR.A subset analysis stratified complication-specific rates of FTR by insurance status. Relative to private insurance, Medicaid coverage and uninsured status were linked with greater odds of FTR following perioperative sepsis, pneumonia, and AKI. Conclusion: Our findings underscore the need for increased screening and vigilance following perioperative complications to mitigate disparities in patient outcomes following high-risk EGS.

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.

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.

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.

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.

National trends and outcomes of robotic emergency general surgery in the United States.

BACKGROUND: Robot-assisted surgery has seen exponential adoption over the last decade. Although the safety and efficacy of robotic surgery in the elective setting have been demonstrated, data regarding robotic emergency general surgery remains sparse. METHODS: All adults undergoing non-elective appendectomy, cholecystectomy, small or large bowel resection, perforated ulcer repair, or lysis of adhesions were identified in the 2008 to 2020 National Inpatient Sample. Temporal trends were analyzed using a rank-based, non-parametric test developed by Cuzick (nptrend). Using laparoscopy as a reference, multivariable regressions were used to evaluate the association between robotic techniques and in-hospital mortality, major complications, and resource use for each emergency general surgery operation. RESULTS: Of an estimated 4,040,555 patients undergoing emergency general surgery, 65,853 (1.6%) were performed using robotic techniques. The robotic proportion of minimally invasive emergency general surgery increased significantly overall, with the largest growth seen in robot-assisted large bowel resections and perforated ulcer repairs. After adjustment for various patient and hospital-level factors, robot-assisted large bowel resection (adjusted odds ratio 0.73, 95% confidence interval 0.58-0.91) and cholecystectomy (adjusted odds ratio 0.66, 95% confidence interval 0.55-0.81) were associated with significantly reduced odds of perioperative blood transfusion compared to traditional laparoscopy. Although robotic techniques were associated with modest reductions in postoperative length of stay, costs were uniformly higher by increments of up to $4,900. CONCLUSION: Robotic surgery appears to be a safe and effective adjunct to laparoscopy in minimally invasive emergency general surgery, although comparable cost-effectiveness has yet to be realized. Increasing use of robotic techniques in emergency general surgery may be attributable in part to reduced complications, including blood loss, in certain operative contexts.

Association of severe obesity with risk of conversion to open in laparoscopic cholecystectomy for acute cholecystitis.

Background: Obesity is a known risk factor for cholecystitis and is associated with technical complications during laparoscopic procedures. The present study seeks to assess the association between obesity class and conversion to open (CTO) during laparoscopic cholecystectomy (LC). Methods: Adult acute cholecystitis patients with obesity undergoing non-elective LC were identified in the 2017-2020 Nationwide Readmissions Database. Patients were stratified by obesity class; class 1 (Body Mass Index [BMI] = 30.0-34.9), class 2 (BMI = 35.0-39.9), and class 3 (BMI ≥ 40.0). Multivariable regression models were developed to assess factors associated with CTO and its association with perioperative complications and resource utilization. Results: Of 89,476 patients undergoing LC, 40.6 % had BMI ≥ 40.0. Before adjustment, class 3 obesity was associated with increased rates of CTO compared to class 1-2 (4.6 vs 3.8 %; p < 0.001). Following adjustment, class 3 remained associated with an increased likelihood of CTO (Adjusted Odds Ratio [AOR] 1.45, 95 % Confidence Interval [CI] 1.31-1.61; ref.: class 1-2). Patients undergoing CTO had increased risk of blood transfusion (AOR 3.27, 95 % CI 2.54-4.22) and respiratory complications (AOR 1.36, 95 % CI 1.01-1.85). Finally, CTO was associated with incremental increases in hospitalization costs (ß + $719, 95 % CI 538-899) and length of stay (LOS; ß +2.20 days, 95 % CI 2.05-2.34). Conclusions: Class 3 obesity is a significant risk factor for CTO. Moreover, CTO is associated with increased hospitalization costs and LOS. As the prevalence of obesity grows, improved understanding of operative risk by approach is required to optimize clinical outcomes. Our findings are relevant to shared decision-making and informed consent.

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.

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.

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.

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.

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.