Impact of GLP-1RA on the Risk of Adverse Liver Outcomes Among Patients With Alcohol-Associated Liver Disease and Type 2 Diabetes.

BACKGROUND AND AIMS: We sought to characterise the impact of GLP-1RA on adverse liver outcomes (ALO) among patients with alcohol-associated liver disease (ALD) and Type 2 diabetes mellitus (T2DM). METHODS: Patients with T2DM newly diagnosed with ALD between 2013 and 2020 were identified using IBM MarketScan database and were categorised by GLP-1RA exposure. Overlap propensity score weighting (OPSW) followed by Poisson regression models was used to analyse adjusted risk of ALO, a composite endpoint defined by first occurrence of hepatic decompensation (HD), portal hypertension (PH), hepatocellular carcinoma (HCC) or liver transplantation (LT) relative to GLP-1RA. RESULTS: Among 14 730 patients, most individuals were male (n = 9752, 66.2%) with median age of 57 (IQR 52-61) years; 2.2% (n = 317) of patients had GLP-1RA exposure. Overall, 32.0% (n = 4717) of patients experienced HD, 15.9% (n = 2345) had PH, 3.8% (n = 563) developed HCC, while 2.5% (n = 374) underwent transplantation. Non-GLP-1RA patients had higher incidence of HD (32.2% vs. 22.4%) and HCC (3.9% vs. 0.3%) versus patients taking GLP-1RA (both p < 0.001); in contrast, there was no difference in incidence of PH (14.5% vs. 16.0%) and LT (1.3% vs. 2.6%) (both p > 0.05). After OPSW, overall incidence of ALO was lower in GLP-1RA cohort (GLP-1RA: 12.0%, 95%CI 9.0-16.0 vs. non-GLP-1RA: 21.0%, 95%CI 20.0-22.0) with an absolute incidence risk reduction of 9.0% (95%CI 3.0%-15.0%) associated with GLP-1RA. GLP-1RA was most strongly associated with lower likelihood of HD with reduced adjusted incidence rate of 0.56 (95%CI 0.36-0.86) relative to non-GLP-1RA individuals. CONCLUSIONS: GLP-1RA may have a hepatoprotective impact among patients with ALD and T2DM.

Assessing the Impact of a Gastrointestinal Cancer Diagnosis on Mental Health Claims Among Co-Insured Household Family Members.

BACKGROUND: Gastrointestinal (GI) cancer diagnosis can adversely impact the mental health (MH) of a patient's household members, including spouses and children. The objective of the current study was to explore the potential change in MH claims among households following a patient's GI cancer diagnosis. METHODS: Households of patients with GI cancer diagnosis were identified using the IBM MarketScan Database (2014-2019) and matched with households of patients without cancer. MH-related visits of spouses and children were assessed in the 12 months before and after the index date of diagnosis. Changes were compared between the two cohorts using difference-in-difference (DID) analysis. RESULTS: Among 40,650 households in the spouses' analysis and 20,014 households in the children's analysis, 25.1% (n=10,210) and 26.8% (n=5,368) were households with GI cancer. Univariable DID analysis demonstrated that households with GI cancer had a greater increase in anxiety-related (spouses:2.2% vs. 0.7%; children:2.0% vs. 1.1%), mental illness-related (spouses:3.2% vs. 1.2%; children:3.0% vs. 1.6%), and overall MH-related visits (spouses:3.3% vs. 1.4%), relative to the control group (all p<0.05). In adjusted DID analysis, spouses, children, and households with GI cancer had 2.1%, 1.6%, and 2.3% absolute risk increase of mental illness-related visits, respectively, compared to non-cancer households (all p<0.05). CONCLUSION: In this cohort study of privately-insured households, co-insured spouses and children of patients diagnosed with GI cancer presented a higher risk of having MH-related claims than households not experiencing cancer diagnosis. Interventions should focus on the importance of counseling and psychological support in the aftermath of a loved one's cancer diagnosis.

Preoperative identification of early extrahepatic recurrence after hepatectomy for colorectal liver metastases: A machine learning approach.

BACKGROUND: Machine learning (ML) may provide novel insights into data patterns and improve model prediction accuracy. The current study sought to develop and validate an ML model to predict early extra-hepatic recurrence (EEHR) among patients undergoing resection of colorectal liver metastasis (CRLM). METHODS: Patients with CRLM who underwent curative-intent resection between 2000 and 2020 were identified from an international multi-institutional database. An eXtreme gradient boosting (XGBoost) model was developed to estimate the risk of EEHR, defined as extrahepatic recurrence within 12 months after hepatectomy, using clinicopathological factors. The relative importance of factors was determined using Shapley additive explanations (SHAP) values. RESULTS: Among 1410 patients undergoing curative-intent resection, 131 (9.3%) patients experienced EEHR. Median OS among patients with and without EEHR was 35.4 months (interquartile range [IQR] 29.9-46.7) versus 120.5 months (IQR 97.2-134.0), respectively (p < 0.001). The ML predictive model had c-index values of 0.77 (95% CI, 0.72-0.81) and 0.77 (95% CI, 0.73-0.80) in the entire dataset and the validation data set with bootstrapping resamples, respectively. The SHAP algorithm demonstrated that T and N primary tumor categories, as well as tumor burden score were the three most important predictors of EEHR. An easy-to-use risk calculator for EEHR was developed and made available online at: https://junkawashima.shinyapps.io/EEHR/. CONCLUSIONS: An easy-to-use online calculator was developed using ML to help clinicians predict the chance of EEHR after curative-intent resection for CRLM. This tool may help clinicians in decision-making related to treatment strategies for patients with CRLM.

Variation in physician spending and its association with postoperative outcomes among patients undergoing surgery for gastrointestinal cancer.

BACKGROUND: There is significant variation in inpatient expenditures among physicians and hospitals. This study aimed to characterize the association between variation in physician spending and short-term outcomes among patients undergoing surgery for pancreatic ductal adenocarcinoma (PDAC) and colorectal cancer (CRC). METHODS: Patients who underwent surgery for PDAC and CRC from 2010 to 2020 were identified using the Surveillance, Epidemiology, and End Result-Medicare-linked database. The cohort was divided into quartiles based on adjusted physician spending, and multivariate models were used to assess the association between physician spending and patient outcomes. RESULTS: Among 27,596 Medicare beneficiaries, 25,615 (92.8%) underwent surgery for CRC and 1981 (7.2%) underwent surgery for PDAC. Of the variations in spending, 79.9% were due to patient-level factors, 13.3% were due to hospital characteristics, and 6.8% were due to surgeon-level variables. On multivariate analysis, there was no association between physician spending and 30-day readmission (with complications: first quartile [Q1], reference; Q4: odds ratio [OR], 1.10; 95% CI, 0.86-1.41; P = .123; without complications: Q1, reference; Q3, stage IV: OR, 0.97; 95% CI, 0.68-1.40; P = .882) or between physician spending and 30-day mortality (without complications: Q1, reference; Q2, stage I: OR, 1.17; 95% CI, 0.45-3.01; P = .804). However, an increase in physician spending was associated with higher 30-day mortality among patients with complications (Q1, reference; Q4: OR, 2.28; 95% CI, 1.72-3.03; P < .001). CONCLUSION: There was more variation in healthcare spending across hospitals than across individual physicians. No consistent association between variation in physician spending and patient outcomes was noted. Wasteful spending can be reduced through targeted interventions aimed at reducing variations at the physician and hospital levels.

Association of Intellectual and Developmental Disabilities With Worse Outcomes After Surgical Treatment of Cancer.

BACKGROUND: Patients with intellectual and developmental disabilities (IDD) face unique challenges resulting in disparities in their health care. We sought to define the effect that IDD had on achievement of a "textbook outcome" (TO) following a cancer operation among a nationally representative cohort of patients. METHODS: Data on patients who underwent surgery for a malignant indication, including lung, breast, liver, biliary tract, pancreas, and colorectal, between 2014 and 2020 were extracted from the 100% Medicare Standard Analytical Files database. The association of IDD with TO (defined as the absence of postoperative complications, extended length of stay, 90-day readmission, and 90-day mortality), expenditures, and discharge status was assessed using multivariable logistic regression. RESULTS: Among 500,472 Medicare beneficiaries, 4,326 (0.9%) with IDD had a cancer diagnosis (breast, n=481; lung, n=419; hepatobiliary, n=194; pancreas, n=145; colorectal, n=3,087). Although overall incidence of TO was 50.5%, patients with IDD were less likely to achieve a TO than those without (37.1% vs 50.6%, respectively; odds ratio [OR], 0.50; 95% CI, 0.46-0.53; P<.001). On multivariable regression, patients with IDD had higher odds of a postoperative complication (OR, 1.53; 95% CI, 1.43-1.64), extended length of stay (OR, 2.06; 95% CI, 1.93-2.21), 90-day readmission (OR, 1.15; 95% CI, 1.07-1.24), 90-day mortality (OR, 1.90; 95% CI, 1.70-2.13), and discharge to a skilled nursing facility (OR, 4.28; 95% CI, 3.97-4.62) (all P<.001). CONCLUSIONS: Patients with IDD had a much lower chance of a postoperative TO, as well as discharge to a nonhome setting. The data highlight the need to improve the care of patients with IDD to assure equitable oncologic surgical care.

Trajectory Analysis of Healthcare Use Before and After Gastrointestinal Cancer Surgery.

BACKGROUND: Frailty correlates with worse post-operative outcomes and higher surgical costs, but the long-term impact on healthcare utilization remains ill-defined. We sought to evaluate patterns of healthcare utilization pre- and post-surgery among patients with gastrointestinal cancer and characterize the association with frailty. STUDY DESIGN: Data on patients who underwent surgical resection for liver, biliary, pancreatic, colon and rectal cancer were obtained from the 2005-2020 SEER-Medicare database. Frailty was assessed using the claims-based frailty index. Group-based trajectory modelling identified clusters of patients with discrete patterns of healthcare utilization. Multivariable regression was performed to predict cluster membership based on preoperative factors, including frailty. RESULTS: Among 66,684 beneficiaries, four distinct utilization trajectories based on data from 12 months before and after surgery were identified. Following a surge in utilization during the month of surgery, most patients reverted to pre-surgery baseline utilization (low: n=6588, 9.9%; moderate: n=17,627, 26.4%; high: n=29,850, 44.8%). However, a notable trajectory involving 12,619 (18.9%) patients was identified, wherein surgery precipitated a transition from a "low" pre-surgery utilization state to a "high" utilization state post-surgery. Frail patients were more likely to be among those individuals who transitioned to high utilizers (low: 4.2% vs. vs. transition: 12.6% vs. high: 7.5%; p<0.001). On multivariable analysis incorporating preoperative variables, frailty was associated with high group trajectory membership (ref: least and moderate; highest: OR 4.90, 95%CI 4.49-5.35; p<0.001). CONCLUSIONS: Patients with gastrointestinal cancer demonstrated distinct clusters of healthcare utilization after surgical resection. Preoperative predictive models may help differentiate different health care utilization trajectories to help tailor care for patients in the postoperative period.

Impact of Spousal Mental Illness on Healthcare Utilization Among Patients With Gastrointestinal Cancer.

BACKGROUND: Informal caregiving involves increased responsibilities, with financial and emotional challenges, thereby affecting the well-being of the caregiver. We aimed to investigate the effect of spousal mental illness on hospital visits and medical spending among patients with gastrointestinal (GI) cancer. METHODS: Patients who underwent GI cancer surgery between 2013 and 2020 were identified from the IBM Marketscan database. Multivariable regression analysis was used to examine the association between spousal mental illness and healthcare utilization. RESULTS: A total of 6,035 patients underwent GI surgery for a malignant indication. Median age was 54 years (IQR: 49-59), most patients were male (n = 3592, 59.5%), and had a CCI score of ≤ 2 (n = 5512, 91.3%). Of note, in the 1 year follow-up period, 19.4% (anxiety: n = 509, 8.4%; depression: n = 301, 5.0%; both anxiety and depression: n = 273, 4.5%; severe mental illness: n = 86, 1.4%) of spouses developed a mental illness. On multivariable analysis, after controlling for competing factors, spousal mental illness remained independently associated with increased odds of emergency department visits (OR 1.20, 95% CI 1.05-1.38) and becoming a super healthcare utilizer (OR 1.37, 95% CI 1.04-1.79), as well as 12.1% (95% CI 10.6-15.3) higher medical spending. CONCLUSION: Among patients with GI cancer spousal mental illness is associated with higher rates of outpatient visits, emergency department visits, and expenditures during the 1-year postoperative period. These findings underscore the importance of caregiving resources and counseling in alleviating caregiver burden, thereby reducing the overall burden on the healthcare system.

Impact of hospital volume and facility characteristics on postoperative outcomes after hepatectomy: A mediation analysis.

BACKGROUND: The impact of hospital procedural volume on outcomes after hepatectomy relative to other facility-related factors remains unclear. We sought to define the comparative impact of hospital volume compared with other facility-related factors on postoperative outcomes among Medicare beneficiaries undergoing hepatectomy. METHODS: Data on patients who underwent hepatectomy between 2013 and 2021 were collected from the Medicare Standard Analytic Files and linked with facility-level data from the American Hospital Association Survey databases. Hospital volume was stratified into high- (top 10%) and low-volume centers. Propensity score matching was used to account for variable imbalances in patient characteristics among high-compared with low-volume centers. Mediation analysis was employed to delineate facility-related factors responsible for the impact of hospital volume on outcomes with a specific focus on incidence of complications, in-hospital mortality, and failure to rescue. RESULTS: The analytic cohort included 22,969 patients from 340 institutions. After propensity score matching, receipt of surgery at a high-volume center was associated with a lower likelihood of postoperative complications (39.9% vs 41.7%, P = .01), in-hospital mortality (2.2% vs 2.8%, P = .02), and failure to rescue (5.4% vs 6.5%, P = .04) versus low-volume centers. Mediation analysis revealed that hospital capacity (bed capacity and nurse-to-bed ratio) contributed the most to the variations in risk of complications and in-hospital mortality, whereas liver transplant program status had the largest impact on failure to rescue. CONCLUSIONS: Hospital volume is a significant determinant of postoperative outcomes after hepatectomy, with hospital capacity and liver transplant program status being important mediators of this effect. Centralization and optimal resource distribution are important to achieve favorable outcomes following liver resection.

Long-term lorazepam use may be associated with worse long-term outcomes among patients with pancreatic adenocarcinoma.

BACKGROUND: Lorazepam recently has been reported to alter the tumor microenvironment of pancreatic adenocarcinoma in a murine model. We sought to evaluate whether the use of lorazepam was associated with worse outcomes among patients with pancreatic adenocarcinoma. METHODS: Medicare beneficiaries diagnosed with stage I-IV pancreatic adenocarcinoma between 2013 and 2019 were identified from the Surveillance, Epidemiology and End Results-Medicare database. The association of lorazepam prescription relative to overall survival and recurrence-free survival was examined. RESULTS: Among 2,810 patients with stage I-III and 10,181 patients with stage IV pancreatic adenocarcinoma, a total of 133 (4.7%) and 444 individuals (4.4%) had a lorazepam prescription before disease diagnosis, respectively. Although the overall lorazepam group had comparable 5-year overall survival (15.0% vs 14.2%, P = .20) and recurrence-free survival (12.7% vs 10.9%, P = .42) with the no-lorazepam group after pancreatic adenocarcinoma resection, individuals with long-term lorazepam prescription (>30 days) had worse 5-year overall survival (9.0% vs 21.0%, P = .02) and recurrence-free survival (6.4% vs 17.1%, P = .009) compared with short-term lorazepam users (≤30 days). Similarly, among patients with metastatic pancreatic adenocarcinoma, individuals with a long-term lorazepam prescription had worse 1-year overall survival (9.7% vs 15.9%, P = .02) compared with patients who had short-term lorazepam prescriptions. On multivariable analysis, long-term lorazepam prescription was independently associated with overall survival among patients with resectable (hazard ratio, 1.82; 95% confidence interval, 1.22-2.74) and metastatic pancreatic adenocarcinoma (hazard ratio, 1.24; 95% confidence interval, 1.02-1.51). CONCLUSION: Long-term lorazepam prescription was associated with worse long-term outcomes among patients who underwent resection for pancreatic adenocarcinoma and patients with metastatic pancreatic adenocarcinoma. These data support the need for further large scale studies to confirm a potential harmful effect of lorazepam among patients with pancreatic adenocarcinoma.

Upper gastrointestinal cancers: Trends and determinants of location of death.

BACKGROUND: Patients diagnosed with upper gastrointestinal cancers often require extensive end-of-life care. We sought to investigate social determinants of health associated with disparities in the location of death among patients who died of upper gastrointestinal cancers. METHODS: Patients who died between 2003 and 2020 from esophageal cancer, gastric cancer, hepatobiliary cancer, and pancreatic cancer were identified using the Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research database. Social determinants of health were assessed using the Social Vulnerability Index. Patients were categorized on the basis of location of death: inpatient hospital, home, nursing home, hospice, and outpatient medical facility/emergency department. Multivariable regression and mediation analyses defined the association of patient race as well as social determinants of health with location of death. RESULTS: Among 815,780 decedents (esophageal cancer: 15.3%; gastric cancer: 3.6%; hepatobiliary cancer: 36.6%; pancreatic cancer: 54.5%), most were male (60.8%), aged 55-74 years (52.3%), and White (89.1%). Most decedents died at home (55.7%), followed by inpatient hospital (24.8%), hospice (9.0%), nursing home (8.1%), and outpatient medical facility/emergency department (2.5%). During the study period, location of death shifted notably from inpatient hospital (36.8% to 21.3%) to home (45.8% to 56.3%). Residents of high Social Vulnerability Index areas were more likely to die at inpatient hospital compared with home (31.8% vs 24.3%) (P < .001). Black race (reference: White; odds ratio; 0.41, 95% confidence interval, 0.40-0.42) and social vulnerability (reference: low Social Vulnerability Index; odds ratio, 0.64, 95% confidence interval, 0.63-0.65) remained independently associated with lower odds of dying at home compared with an inpatient hospital. Notably, 65% of the overall race-based association with death at inpatient hospital was driven indirectly through social determinants of health. CONCLUSION: Social determinants are important drivers of end-of-life care and impact the potential ability of patients with cancer to die at home.

Clinical Outcomes, Costs, and Value of Surgery Among Older Patients with Colon Cancer at US News and World Report Ranked Versus Unranked Hospitals.

BACKGROUND: US News and World Report (USNWR) hospital rankings influence patient choice of hospital, but their association with surgical outcomes remains ill-defined. We sought to characterize clinical outcomes and costs of surgery for colon cancer among USNWR top ranked and unranked hospitals. METHODS: Using Medicare Standard Analytic Files, patients aged ≥65 years undergoing surgery for colon cancer were identified. Hospitals were categorized as 'ranked' or 'unranked' based on USNWR cancer hospital rankings. One-to-one matching was performed between patients treated at ranked and unranked hospitals, and clinical outcomes and costs of surgery were compared. RESULTS: Among 50 ranked and 2522 unranked hospitals, 13,650 patient pairs were compared. Overall, 30-day mortality was 2.13% in ranked hospitals versus 3.68% in unranked hospitals (p < 0.0001), and the overall paired cost difference was $8159 (p < 0.0001). As patient risk increased, 30-day mortality differences became larger, with the ranked hospitals having 30-day mortality of 7.59% versus 11.84% for unranked hospitals among the highest-risk patients (p < 0.0001). Overall paired cost differences also increased with increasing patient risk, with cost of care being $72,229 for ranked hospitals versus $56,512 for unranked hospitals among the highest-risk patients (difference = $14,394; p = 0.02). The difference in cost per 1% reduction in 30-day mortality was $9009 (95% confidence interval [CI] $6422-$11,597) for lowest-risk patients, which dropped to $3387 (95% CI $2656-$4119) for highest-risk patients (p < 0.0001). CONCLUSION: Treatment at USNWR-ranked hospitals, particularly for higher-risk patients, was associated with better outcomes but higher-cost care. The benefit of being treated at highly ranked USNWR hospitals was most pronounced among high-risk patients.

The Association of Established Primary Care with Postoperative Outcomes Among Medicare Patients with Digestive Tract Cancer.

BACKGROUND: Primary care (PC) is essential to overall wellness and management of comorbidities. In turn, patients without adequate access to PC may face healthcare disparities. We sought to characterize the impact of established PC on postoperative outcomes among patients undergoing a surgical procedure for a digestive tract cancer. METHODS: Medicare beneficiaries with a diagnosis of hepatobiliary, pancreas, and colorectal cancer between 2005 and 2019 were identified within the Surveillance, Epidemiology, and End Results program and Medicare-linked database. Individuals who did versus did not have PC encounters within 1-year before surgery were identified. A postoperative textbook outcome (TO) was defined as the absence of complications, no prolonged hospital stay, no readmission within 90 days, and no mortality. RESULTS: Among 63,177 patients, 50,974 (80.7%) had at least one established PC visit before surgery. Patients with established PC were more likely to achieve TO (odds ratio [OR], 1.14; 95% confidence interval [CI], 1.09-1.19) with lower odds for complications (OR, 0.85; 95% CI, 0.72-0.89), extended hospital stay (OR, 0.86; 95% CI, 0.81-0.94), 90-day readmission (OR, 0.94; 95% CI, 0.90-0.99), and 90-day mortality (OR, 0.87; 95% CI, 0.79-0.96). In addition, patients with established PC had a 4.1% decrease in index costs and a 5.2% decrease in 1-year costs. Notably, patients who had one to five visits with their PC in the year before surgery had improved odds of TO (OR, 1.21; 95% CI, 1.16-1.27), whereas individuals with more than 10 visits had lower odds of a postoperative TO (OR, 0.91; 95% CI, 0.84-0.98). CONCLUSION: Most Medicare beneficiaries with digestive tract cancer had established PC within the year before their surgery. Established PC was associated with a higher probability of achieving ideal outcomes and lower costs. In contrast, patients with more than 10 PC appointments, which was likely a surrogate of overall comorbidity burden, experienced no improvement in postoperative outcomes.

Association of county-level provider density with hepatobiliary cancer incidence and mortality.

BACKGROUND: Access to healthcare providers is a key factor in reducing cancer incidence and mortality, underscoring the significance of provider density as a crucial metric of health quality. We sought to characterize the association of provider density on hepatobiliary cancer population-level incidence and mortality. STUDY DESIGN: County-level hepatobiliary cancer incidence and mortality data from 2016 to 2020 and provider data from 2016 to 2018 were obtained from the CDC and Area Health Resource File. Multivariable logistic regression was utilized to evaluate the relationship between provider density and hepatobiliary cancer incidence and mortality. RESULTS: Among 1359 counties, 851 (62.6%) and 508 (37.4%) counties were categorized as urban and rural, respectively. The median number of providers in any given county was 104 (IQR: 44-306), while provider density was 120.1 (IQR: 86.7-172.2) per 100,000 population; median household income was $51,928 (IQR: $45,050-$61,655). Low provider-density counties were more likely to have a greater proportion of residents over 65 years of age (52.7% vs. 49.6%) who were uninsured (17.4% vs. 13.2%) versus higher provider-density counties (p < 0.05). Moreover, all-stage incidence, late-stage incidence, and mortality rates were higher in counties with low provider density. On multivariable analysis, moderate, and high provider density were associated with lower odds of all-stage incidence, late-stage incidence, and mortality. CONCLUSION: Higher county-level provider density was associated with lower hepatobiliary cancer-related incidence and mortality. Efforts to increase access to healthcare providers may improve healthcare equity as well as long-term cancer outcomes.

Community Privilege and Unplanned Surgery for Access-Sensitive Surgical Conditions.

OBJECTIVE: We sought to define the association of privilege on rates of unplanned surgery and perioperative outcomes for access-sensitive surgical conditions. BACKGROUND: Social determinants of health (SDOH) are critical in influencing timely access to healthcare. Privilege represents a right, benefit, advantage, or opportunity that positively influences all SDOH. METHODS: The California Department of Health Care Access and Information (HCAI) database identified patients who underwent abdominal aortic aneurysm repair, ventral hernia repair, or colectomy for colon cancer between 2017 and 2020 and was merged using ZIP codes with the Index of Concentration of Extremes, a validated measure of racial and economic privilege obtained from the American Community Survey. Clustered multivariable regression was performed to assess the association between privilege and outcomes. RESULTS: Among 185,316 patients who underwent a surgical procedure for one of three access-sensitive surgical conditions, roughly 1 in 5 individuals resided in areas with the highest (Q5; n=37,308; 20.1%) or lowest (Q1; n=36,352, 19.6%) privilege. Nearly one-half of the surgeries were unplanned (n=88,814, 46.9%), and colectomy for colon cancer was the most performed emergent procedure. Patients residing in the lowest privileged areas had higher rates of unplanned surgery compared with those residing in the highest privilege (Q1; 55.4% vs. 39.4%; referent: Q5; adjusted odds ratio [OR], 1.23, 95%CI 1.16-1.31; P<0.001). For each access-sensitive surgical condition, patients in the least privileged areas were more likely to experience higher rates of inpatient mortality (Q1; 3.1% vs. 2.1%; referent: Q5; adjusted OR, 1.41, 95%CI 1.24-1.60; P<0.001), perioperative complications (Q1; 30.4% vs. Q5; 23.8%; referent: Q5; adjusted OR, 1.24, 95%CI 1.18-1.31; P<0.001) and extended hospital stays (Q1; 26.3% vs. 20.1%; referent: Q5; adjusted OR, 1.16, 95%CI 1.09-1.22; P<0.001). CONCLUSIONS AND RELEVANCE: Privilege was associated with rates of unplanned surgery and adverse clinical outcomes. This indicates the role privilege as a key SDOH that influences patient access to and quality of surgical care.

Machine learning models including preoperative and postoperative albumin-bilirubin score: short-term outcomes among patients with hepatocellular carcinoma.

BACKGROUND: We sought to assess the impact of various perioperative factors on the risk of severe complications and post-surgical mortality using a novel maching learning technique. METHODS: Data on patients undergoing resection for HCC were obtained from an international, multi-institutional database between 2000 and 2020. Gradient boosted trees were utilized to construct predictive models. RESULTS: Among 962 patients who underwent HCC resection, the incidence of severe postoperative complications was 12.7% (n = 122); in-hospital mortality was 2.9% (n = 28). Models that exclusively used preoperative data achieved AUC values of 0.89 (95%CI 0.85 to 0.92) and 0.90 (95%CI 0.84 to 0.96) to predict severe complications and mortality, respectively. Models that combined preoperative and postoperative data achieved AUC values of 0.93 (95%CI 0.91 to 0.96) and 0.92 (95%CI 0.86 to 0.97) for severe morbidity and mortality, respectively. The SHAP algorithm demonstrated that the factor most strongly predictive of severe morbidity and mortality was postoperative day 1 and 3 albumin-bilirubin (ALBI) scores. CONCLUSION: Incorporation of perioperative data including ALBI scores using ML techniques can help risk-stratify patients undergoing resection of HCC.

The Association of Socio-Environmental Inequality and Outcomes Among Patients Undergoing Major Surgery.

INTRODUCTION: Environmental hazards may influence health outcomes and be a driver of health inequalities. We sought to characterize the extent to which social-environmental inequalities were associated with surgical outcomes following a complex operation. METHODS: In this cross-sectional study, patients who underwent abdominal aortic aneurysm repair, coronary artery bypass grafting, colectomy, pneumonectomy, or pancreatectomy between 2016 and 2021 were identified from Medicare claims data. Patient data were linked with social-environmental data sourced from Centers for Disease Control and Agency for Toxic Substances and Disease Registry data based on county of residence. The Environmental Justice Index social-environmental ranking (SER) was used as a measure of environmental injustice. Multivariable regression analysis was performed to assess the relationship between SER and surgical outcomes. RESULTS: Among 1,052,040 Medicare beneficiaries, 346,410 (32.9%) individuals lived in counties with low SER, while 357,564 (33.9%) lived in counties with high SER. Patients experiencing greater social-environmental injustice were less likely to achieve textbook outcome (odds ratio 0.95, 95% confidence interval 0.94-0.96, P < 0.001) and to be discharged to an intermediate care facility or home with a health agency (odds ratio 0.97, 95% confidence interval 0.96-0.98, P < 0.001). CONCLUSIONS: Cumulative social and environmental inequalities, as captured by the Environmental Justice Index SER, were associated with postoperative outcomes among Medicare beneficiaries undergoing a range of surgical procedures. Policy makers should focus on environmental, as well as socioeconomic injustice to address preventable health disparities.

Waitlist Time, Age, and Social Vulnerability: Impact on the Survival Benefit of Deceased Donor Kidney Transplantation Versus Long-term Dialysis Among Patients With End-stage Renal Disease.

BACKGROUND: We sought to define the survival benefit of kidney transplantation versus long-term dialysis relative to waitlist time on dialysis, social vulnerability, and age among end-stage renal transplant candidates. METHODS: End-stage renal disease patients who were candidates for their first deceased donor kidney transplantation between 2008 and 2020 were identified using the US Renal Data System. Survival probabilities for patient survival were compared using the restricted mean survival times (RMSTs) across different age and social vulnerability index (SVI) ranges. RESULTS: Among 149 923 patients, 68 795 (45.9%) patients underwent a kidney transplant and 81 128 (54.1%) remained on dialysis. After propensity-score matching (n = 58 035 in each cohort), the 5-y RMST difference between kidney transplant and dialysis demonstrated an increasing trend in mean life-years gained within 5 y of follow-up relative to advancing age (<30 y: 0.40 y, 95% confidence interval, 0.36-0.44 y versus >70 y: 0.75 y, 95% confidence interval, 0.70-0.80 y). Conversely, disparities in 5-y RMSTs remained consistent relative to social vulnerability (median 5-y RMST difference: 0.62 y comparing low versus high SVI). When considering waitlist duration, stratified analyses demonstrated increasing trends across different age groups with the largest RMST differences observed among older patients aged ≥70 y. Notably, longer waitlist durations (>3 y) yielded more pronounced RMST differences compared with shorter durations (<1 y). CONCLUSIONS: These data underscore the survival benefit associated with kidney transplantation over long-term dialysis across various age and SVI ranges. Transplantation demonstrated a greater advantage among older patients who had a longer waitlist duration.

Preoperative and postoperative predictive models of early recurrence for colorectal liver metastases following chemotherapy and curative-intent one-stage hepatectomy.

INTRODUCTION: Accurate prediction of patients at risk for early recurrence (ER) among patients with colorectal liver metastases (CRLM) following preoperative chemotherapy and hepatectomy remains limited. METHODS: Patients with CRLM who received chemotherapy prior to undergoing curative-intent resection between 2000 and 2020 were identified from an international multi-institutional database. Multivariable Cox regression analysis was used to assess clinicopathological factors associated with ER, and an online calculator was developed and validated. RESULTS: Among 768 patients undergoing preoperative chemotherapy and curative-intent resection, 128 (16.7 %) patients had ER. Multivariable Cox analysis demonstrated that Eastern Cooperative Oncology Group Performance status ≥1 (HR 2.09, 95%CI 1.46-2.98), rectal cancer (HR 1.95, 95%CI 1.35-2.83), lymph node metastases (HR 2.39, 95%CI 1.60-3.56), mutated Kirsten rat sarcoma oncogene status (HR 1.95, 95%CI 1.25-3.02), increase in tumor burden score during chemotherapy (HR 1.51, 95%CI 1.03-2.24), and bilateral metastases (HR 1.94, 95%CI 1.35-2.79) were independent predictors of ER in the preoperative setting. In the postoperative model, in addition to the aforementioned factors, tumor regression grade was associated with higher hazards of ER (HR 1.91, 95%CI 1.32-2.75), while receipt of adjuvant chemotherapy was associated with lower likelihood of ER (HR 0.44, 95%CI 0.30-0.63). The discriminative accuracy of the preoperative (training: c-index: 0.77, 95%CI 0.72-0.81; internal validation: c-index: 0.79, 95%CI 0.75-0.82) and postoperative (training: c-index: 0.79, 95%CI 0.75-0.83; internal validation: c-index: 0.81, 95%CI 0.77-0.84) models was favorable (https://junkawashima.shinyapps.io/CRLMfollwingchemotherapy/). CONCLUSIONS: Patient-, tumor- and treatment-related characteristics in the preoperative and postoperative setting were utilized to develop an online, easy-to-use risk calculator for ER following resection of CRLM.