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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 .
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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 â¼236,215 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.
Subject(s)
Herniorrhaphy , Patient Readmission , Humans , Herniorrhaphy/economics , Herniorrhaphy/statistics & numerical data , Male , Female , Middle Aged , Aged , Patient Readmission/statistics & numerical data , Patient Readmission/economics , United States/epidemiology , Socioeconomic Factors , Hernia, Ventral/surgery , Hernia, Ventral/economics , Adult , Postoperative Complications/epidemiology , Postoperative Complications/economics , Social Determinants of Health , Hospital Mortality , Vulnerable Populations/statistics & numerical data , Hernia, Femoral/surgery , Hernia, Femoral/economics , Hernia, Inguinal/surgery , Hernia, Inguinal/economicsABSTRACT
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.
Subject(s)
Cholecystitis, Acute , Humans , Cholecystitis, Acute/therapy , Male , Female , Aged , Middle Aged , United States , Hospitals/statistics & numerical data , Adult , Aged, 80 and over , Cholecystectomy/statistics & numerical data , Patient Readmission/statistics & numerical data , Medicare , Databases, FactualABSTRACT
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.
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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.
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Coronary Artery Bypass , Hospital Costs , Machine Learning , Humans , Coronary Artery Bypass/economics , Male , Female , Middle Aged , Hospital Costs/statistics & numerical data , Aged , Length of Stay/economics , Length of Stay/statistics & numerical data , Hospitalization/economics , Hospitalization/statistics & numerical data , United States , Databases, FactualABSTRACT
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 â¼1,788,942 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.
Subject(s)
Socioeconomic Factors , Vulnerable Populations , Humans , Female , Male , Middle Aged , Aged , Adult , Vulnerable Populations/statistics & numerical data , United States/epidemiology , Surgical Procedures, Operative/statistics & numerical data , Patient Readmission/statistics & numerical data , Patient Readmission/economics , Emergencies , Social Determinants of Health , Hospital Mortality , Postoperative Complications/epidemiology , Postoperative Complications/etiology , General Surgery , Acute Care SurgeryABSTRACT
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.
Subject(s)
Graft Survival , Heart Transplantation , Tissue and Organ Procurement , Humans , Male , Female , Middle Aged , United States/epidemiology , Tissue and Organ Procurement/methods , Adult , Retrospective Studies , Tissue Donors/statistics & numerical data , Survival Rate/trends , Brain DeathABSTRACT
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 â¼532,640 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.
Subject(s)
Colectomy , Minimally Invasive Surgical Procedures , Safety-net Providers , Humans , Colectomy/methods , Colectomy/statistics & numerical data , Colectomy/economics , Safety-net Providers/statistics & numerical data , United States , Male , Female , Middle Aged , Minimally Invasive Surgical Procedures/statistics & numerical data , Aged , Adult , Elective Surgical Procedures/statistics & numerical data , Elective Surgical Procedures/economics , Retrospective Studies , Young Adult , Postoperative Complications/epidemiology , AdolescentABSTRACT
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 â¼2,838,485 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.
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Left-sided gallbladder positioning, or sinistroposition, is a rare anatomical variation that poses challenges during surgical intervention due to associated vascular and biliary anomalies. While existing literature suggests an incidence of approximately 0.04-1.1%, it remains an underreported phenomenon that falls well outside the realm of "expected" anatomical variation and are rarely identified on preoperative imaging. Here, we present a case of acute cholecystitis in a patient with unexpected left-sided gallbladder, highlighting the associated challenges and outlining both preoperative and intraoperative strategies for managing this rare but consequential anatomical variant. In this case, a 49-year-old woman with a prior history of bilateral ovarian cysts presented with clinical, laboratory, and imaging findings consistent with acute cholecystitis. She underwent laparoscopic cholecystectomy and was found to have a severely inflamed left-sided gallbladder that was obscured by omentum. Her gallbladder was found in the midline immediately beneath the falciform ligament, with most of the gallbladder body and fundus attached to liver segment III, situated to the left of the midline. An additional left-sided mid-abdominal port was required to enhance retraction, and an intraoperative cholangiogram (IOC) was performed given the elevated risk of structural injury. This case underscores the heightened intraoperative risk associated with deviations in vascular and biliary anatomy and provides recommendations for intraoperative adaptations to mitigate these risks.
Subject(s)
Cholecystectomy, Laparoscopic , Cholecystitis, Acute , Gallbladder , Preoperative Care , Humans , Female , Middle Aged , Gallbladder/abnormalities , Gallbladder/surgery , Gallbladder/diagnostic imaging , Cholecystectomy, Laparoscopic/methods , Preoperative Care/methods , Cholecystitis, Acute/surgery , Cholangiography , Gallbladder DiseasesABSTRACT
Background: Affecting >20million people in the U.S., including 4 % of all hospitalized patients, substance use disorder (SUD) represents a growing public health crisis. Evaluating a national cohort, we aimed to characterize the association of concurrent SUD with perioperative outcomes and resource utilization following elective abdominal operations. Methods: All adult hospitalizations entailing elective colectomy, gastrectomy, esophagectomy, hepatectomy, and pancreatectomy were tabulated from the 2016-2020 National Inpatient Sample. Patients with concurrent substance use disorder, comprising alcohol, opioid, marijuana, sedative, cocaine, inhalant, hallucinogen, or other psychoactive/stimulant use, were considered the SUD cohort (others: nSUD). Multivariable regression models were constructed to evaluate the independent association between SUD and key outcomes. Results: Of â¼1,088,145 patients, 32,865 (3.0 %) comprised the SUD cohort. On average, SUD patients were younger, more commonly male, of lowest quartile income, and of Black race. SUD patients less frequently underwent colectomy, but more often pancreatectomy, relative to nSUD.Following risk adjustment and with nSUD as reference, SUD demonstrated similar likelihood of in-hospital mortality, but remained associated with increased odds of any perioperative complication (Adjusted Odds Ratio [AOR] 1.17, CI 1.09-1.25). Further, SUD was linked with incremental increases in adjusted length of stay (ß + 0.90 days, CI +0.68-1.12) and costs (ß + $3630, CI +2650-4610), as well as greater likelihood of non-home discharge (AOR 1.54, CI 1.40-1.70). Conclusions: Concurrent substance use disorder was associated with increased complications, resource utilization, and non-home discharge following major elective abdominal operations. Novel interventions are warranted to address increased risk among this vulnerable population and address significant disparities in postoperative outcomes.
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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 â¼1 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.
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BACKGROUND: Readmission at a non-index hospital, or care fragmentation (CF), has been previously linked to greater morbidity and resource utilization. However, a contemporary evaluation of the impact of CF on readmission outcomes following elective colectomy is lacking. We additionally sought to evaluate the role of hospital quality in mediating the effect of CF. METHODS: All records for adults undergoing elective colectomy were tabulated from the 2016 to 2020 Nationwide Readmissions Database. Patients readmitted non-electively within 30 days to a non-index center comprised the CF cohort (others: Non-CF). Hierarchical mixed-effects models were constructed to ascertain risk-adjusted rates of major adverse events (MAEs, a composite of in-hospital mortality and any complication) attributable to center-level effects. Hospitals with risk-adjusted MAE rates ≥50th percentile were considered Low-Quality Hospitals (LQHs) (others: High-Quality Hospitals [HQHs]). RESULTS: Of 68,185 patients readmitted non-electively within 30 days, 8968 (13.2%) were categorized as CF. On average, CF was older, of greater comorbidity burden, and more often underwent colectomy for cancer, relative to Non-CF. Following risk adjustment, CF remained independently associated with greater likelihood of MAE (adjusted odds ratio [AOR] 1.16, 95% Confidence Interval [CI] 1.05-1.27) and per-patient expenditures (ß+$2,280, CI +$1080-3490). Further, readmission to non-index LQH was linked with significantly increased odds of MAE, following initial care at HQH (AOR 1.43, CI 1.03-1.99) and LQH (AOR 1.72, CI 1.30-2.28; Reference: Non-CF). CONCLUSIONS: Care fragmentation was associated with greater morbidity and resource utilization at readmission following elective colectomy. Further, rehospitalization at non-index LQH conferred significantly inferior outcomes. Novel efforts are needed to improve continuity of care.
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Off-pump coronary revascularization (OPCAB) has been proposed to benefit patients who are at a greater surgical risk because it avoids the use of extracorporeal circulation. Although, historically, older patients were considered high-risk candidates, recent studies implicate frailty as a more comprehensive measure of perioperative fitness. Yet, the outcomes of OPCAB in frail patients have not been elucidated. Thus, using a national cohort of frail patients, we assessed the impact of OPCAB relative to on-pump coronary revascularization (ONCAB). Patients who underwent first-time elective coronary revascularization were tabulated from the 2010 to 2020 Nationwide Readmissions Database. Frailty was assessed using the previously-validated Johns Hopkins Adjusted Clinical Groups indicator. Multivariable models were used to consider the independent associations between OPCAB and the key outcomes. Of â¼26,529 frail patients, 6,322 (23.8%) underwent OPCAB. After risk adjustment and compared with ONCAB, OPCAB was linked with similar odds of in-hospital mortality but greater likelihood of postoperative cardiac arrest (adjusted odds ratio [AOR] 1.53, confidence interval [CI] 1.13 to 2.07) and myocardial infarction (AOR 1.44, CI 1.23 to 1.69). OPCAB was further associated with greater odds of postoperative infection (AOR 1.22, CI 1.02 to 1.47) but decreased need for blood transfusion (AOR 0.68, CI 0.60 to 0.77). In addition, OPCAB faced a +0.86-day increase in length of stay (CI 0.21 to 1.51) but similar costs (ß $1,610, CI -$1,240 to 4,460) relative to ONCAB. Although OPCAB was associated with no difference in mortality compared with ONCAB, it was linked with greater likelihood of postoperative cardiac arrest and myocardial infarction. Our findings demonstrate that ONCAB remains associated with superior outcomes, even in the growing population of frail patients who underwent coronary revascularization.
Subject(s)
Coronary Artery Bypass, Off-Pump , Hospital Mortality , Postoperative Complications , Humans , Male , Female , Aged , Coronary Artery Bypass, Off-Pump/methods , Postoperative Complications/epidemiology , Frailty/complications , Frailty/epidemiology , Coronary Artery Disease/surgery , Coronary Artery Disease/complications , United States/epidemiology , Aged, 80 and over , Frail Elderly , Middle Aged , Length of Stay/statistics & numerical data , Coronary Artery Bypass , Treatment Outcome , Retrospective StudiesABSTRACT
Donation after circulatory death (DCD) could account for the largest expansion of the donor allograft pool in the contemporary era. However, the organ yield and associated costs of normothermic regional perfusion (NRP) compared to super-rapid recovery (SRR) with ex-situ normothermic machine perfusion, remain unreported. The Organ Procurement and Transplantation Network (December 2019 to June 2023) was analyzed to determine the number of organs recovered per donor. A cost analysis was performed based on our institution's experience since 2022. Of 43 502 donors, 30 646 (70%) were donors after brain death (DBD), 12 536 (29%) DCD-SRR and 320 (0.7%) DCD-NRP. The mean number of organs recovered was 3.70 for DBD, 3.71 for DCD-NRP (P < .001), and 2.45 for DCD-SRR (P < .001). Following risk adjustment, DCD-NRP (adjusted odds ratio 1.34, confidence interval 1.04-1.75) and DCD-SRR (adjusted odds ratio 2.11, confidence interval 2.01-2.21; reference: DBD) remained associated with greater odds of allograft nonuse. Including incomplete and completed procurement runs, the total average cost of DCD-NRP was $9463.22 per donor. By conservative estimates, we found that approximately 31 donor allografts could be procured using DCD-NRP for the cost equivalent of 1 allograft procured via DCD-SRR with ex-situ normothermic machine perfusion. In conclusion, DCD-SRR procurements were associated with the lowest organ yield compared to other procurement methods. To facilitate broader adoption of DCD procurement, a comprehensive understanding of the trade-offs inherent in each technique is imperative.
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BACKGROUND: Esophagectomy is a complex oncologic operation associated with high rates of postoperative complications. While respiratory and septic complications have been well-defined, the implications of acute kidney injury (AKI) remain unclear. Using a nationally representative database, we aimed to characterize the association of AKI with mortality, resource use, and 30-day readmission. METHODS: All adults undergoing elective esophagectomy with a diagnosis of esophageal or gastric cancer were identified in the 2010-2019 Nationwide Readmissions Database. Study cohorts were stratified based on presence of AKI. Multivariable regressions and Royston-Parmar survival analysis were used to evaluate the independent association between AKI and outcomes of interest. RESULTS: Of an estimated 40,438 patients, 3,210 (7.9%) developed AKI. Over the 10-year study period, the incidence of AKI increased from 6.4% to 9.7%. Prior radiation/chemotherapy and minimally invasive operations were associated with reduced odds of AKI, whereas public insurance coverage and concurrent infectious and respiratory complications had greater risk of AKI. After risk adjustment, AKI remained independently associated with greater odds of in-hospital mortality (AOR: 4.59, 95% CI: 3.62-5.83) and had significantly increased attributable costs ($112,000 vs $54,000) and length of stay (25.7 vs 13.3 days) compared to patients without AKI. Furthermore, AKI demonstrated significantly increased hazard of 30-day readmission (hazard ratio: 1.16, 95% CI: 1.01-1.32). CONCLUSIONS: AKI after esophagectomy is associated with greater risk of mortality, hospitalization costs, and 30-day readmission. Given the significant adverse consequences of AKI, careful perioperative management to mitigate this complication may improve quality of esophageal surgical care at the national level.
Subject(s)
Acute Kidney Injury , Neoplasms , Adult , Humans , Esophagectomy/adverse effects , Risk Factors , Retrospective Studies , Neoplasms/complications , Postoperative Complications/epidemiology , Postoperative Complications/etiology , Acute Kidney Injury/epidemiology , Acute Kidney Injury/etiology , Acute Kidney Injury/diagnosisABSTRACT
BACKGROUND: Although early discharge after colectomy has garnered significant interest, contemporary, large-scale analyses are lacking. OBJECTIVE: The present study utilized a national cohort of patients undergoing colectomy to examine costs and readmissions following early discharge. METHODS: All adults undergoing elective colectomy for primary colon cancer were identified in the 2016-2019 Nationwide Readmissions Database. Patients with perioperative complications or prolonged length of stay (>8 days) were excluded to enhance cohort homogeneity. Patients discharged by postoperative day 3 were classified as Early, and others as Routine. Entropy balancing and multivariable regression were used to assess the risk-adjusted association of early discharge with costs and non-elective readmissions. Importantly, we compared 90-day stroke rates to examine whether our results were influenced by preferential early discharge of healthier patients. RESULTS: Of an estimated 153,996 patients, 45.5% comprised the Early cohort. Compared to Routine, the Early cohort was younger and more commonly male. Patients in the Early group more commonly underwent left-sided colectomy and laparoscopic operations. Following multivariable adjustment, expedited discharge was associated with a $4,500 reduction in costs as well as lower 30-day (adjusted odds ratio [AOR] 0.74, p<0.001) and 90-day non-elective readmissions (AOR 0.74, p<0.001). However, among those readmitted within 90 days, Early patients were more commonly readmitted for gastrointestinal conditions (45.8 vs 36.4%, p<0.001). Importantly, both cohorts had comparable 90-day stroke rates (2.2 vs 2.1%, p = 0.80). CONCLUSIONS: The present work represents the largest analysis of early discharge following colectomy for cancer and supports its relative safety and cost-effectiveness.