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.

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.

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.

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.

Effect of telemedicine use on medical spending and health care utilization among patients with gastrointestinal cancer.

BACKGROUND: We sought to assess the impact of telemedicine on healthcare utilization and medical expenditures among patients with a diagnosis of gastrointestinal (GI) cancer. METHODS: Patients with newly diagnosed GI cancer from 2013 to 2020 were identified from the IBM MarketScan database (IBM Watson Health) . Healthcare utilization, total medical outpatient insurance payments within 1 year post-diagnosis, and out-of-pocket (OOP) expenses among telemedicine users and non-users were assessed after propensity score matching (PSM). RESULTS: Among the 32,677 patients with GI cancer (esophageal, n = 1862, 5.7%; gastric, n = 2009, 6.1%; liver, n = 2929, 9.0%; bile duct, n = 597, 1.8%; pancreas, n = 3083, 9.4%; colorectal, n = 22,197, 67.9%), a total of 3063 (9.7%) utilized telemedicine. After PSM (telemedicine users, n = 3064; non-users, n = 3064), telemedicine users demonstrated a higher frequency of clinic visits (median: 5.0 days, IQR 4.0-7.0 vs non-users: 2.0 days, IQR 2.0-3.0, P < .001) and fewer potential days missed from daily activities (median: 7.5 days, IQR 4.5-12.5 vs non-users: 8.5 days, IQR 5.5-13.5, P < .001). Total medical spending per month and utilization of emergency room (ER) visits for telemedicine users were higher vs non-users (median: $10,658, IQR $5112-$18,528 vs non-users: $10,103, IQR $4628-$16,750; 46.8% vs 42.6%, both P < .01), whereas monthly OOP costs were comparable (median: $273, IQR $137-$449 for telemedicine users vs non-users: $268, IQR $142-$434, P = .625). CONCLUSION: Telemedicine utilization was associated with increased outpatient clinic visits yet reduced potential days missed from daily activities among patients with GI cancer. Telemedicine users tended to have more ER visits and total medical spending per month, although monthly OOP costs were comparable with non-users.

Postoperative Outcomes Among Patients Undergoing Cancer Surgery: United States versus International Medical Graduates.

OBJECTIVE: We sought to characterize postoperative outcomes among patients who underwent an oncologic operation relative to whether the treating surgeon was an international medical graduate (IMG) versus a United States medical graduate (USMG). SUMMARY BACKGROUND DATA: IMGs comprise approximately one-quarter of the physician workforce in the United States. METHODS: The 100% Medicare Standard Analytic Files were utilized to extract data on patients with breast, lung, hepato-pancreato-biliary (HPB), and colorectal cancer who underwent surgical resection between 2014 and 2020. Entropy balancing (EB) and multivariable regression analysis were performed to evaluate the association between postoperative outcomes among USMG and IMG surgeons. RESULTS: Among 285,930 beneficiaries, 242,914 (85.0%) and 43,016 (15.0%) underwent surgery by a USMG and IMG surgeon, respectively. Overall, 129,576 (45.3%) individuals were male, and 168,848 (59.1%) patients had a Charlson Comorbidity Index score >2. Notably, IMG surgeons were more likely to care for racial/ethnic minority patients (14.7% vs. 12.5%) and those with a high social vulnerability index (33.3% vs. 32.1%) (all P<0.001). On multivariable analysis after EB, patients treated by an IMG surgeon were less likely to experience adverse postoperative outcomes including 90-day readmission (OR 0.89, 95%CI 0.80-0.99) and index complications (OR 0.84, 95%CI 0.74-0.95) versus USMG surgeons (all P<0.05). Patients treated by IMG versus USMG surgeons had no difference in likelihood to achieve a textbook outcome (OR 1.10, 95%CI 0.99-1.21; P=0.077). CONCLUSIONS: Postoperative outcomes among patients treated by IMG surgeons were roughly equivalent to those of USMG surgeons. In addition, IMG surgeons were more likely to care for patients with multiple comorbidities and individuals from vulnerable communities.

Association of surgeon's sex, and surgeon-patient dyad with financial outcomes among patients undergoing cancer surgery.

BACKGROUND AND OBJECTIVES: Surgeon sex has been associated with perioperative clinical outcomes among patients undergoing oncologic surgery. There may be variations in financial outcomes relative to the surgeon-patient dyad. We sought to define the association of surgeon's sex with perioperative financial outcomes following cancer surgery. METHODS: Patients who underwent resection of lung, breast, hepato-pancreato-biliary (HPB), or colorectal cancer between 2014 and 2021 were identified from the Medicare Standard Analytic Files. A generalized linear model with gamma regression was utilized to characterize the association between sex concordance and expenditures. RESULTS: Among 207,935 Medicare beneficiaries (breast: n = 14,753, 7.1%, lung: n = 59,644, 28.7%, HPB: n = 23,400, 11.3%, colorectal: n = 110,118, 53.0%), 87.8% (n = 182,643) and 12.2% (n = 25,292) of patients were treated by male and female surgeons, respectively. On multivariable analysis, female surgeon sex was associated with slightly reduced index expenditures (mean difference -$353, 95%CI -$580, -$126; p = 0.003). However, there were no differences in 90-day post-discharge inpatient (mean difference -$-225, 95%CI -$570, -$121; p = 0.205) and total expenditures (mean difference $133, 95%CI -$279, $545; p = 0.525). CONCLUSIONS: There was minor risk-adjusted variation in perioperative expenditures relative to surgeon sex. To improve perioperative financial outcomes, a diverse surgical workforce with respect to patient and surgeon sex is warranted.

Long-term Health Outcomes of New Persistent Opioid Use After Gastrointestinal Cancer Surgery.

BACKGROUND: New persistent opioid use (NPOU) after surgery has been identified as a common complication. This study sought to assess the long-term health outcomes among patients who experienced NPOU after gastrointestinal (GI) cancer surgery. METHODS: Patients who underwent surgery for hepato-pancreato-biliary and colorectal cancer between 2007 and 2019 were identified using the Surveillance, Epidemiology, and End Results (SEER)-Medicare-linked database. Mixed-effect multivariable logistic regression and Cox proportional hazard models were used to estimate the risk of mortality and hospital visits related to falls, respiratory events, or pain symptoms. RESULTS: Among 15,456 patients who underwent GI cancer surgery, 967(6.6%) experienced NPOU. Notably, the patients at risk for the development of NPOU were those with a history of substance abuse (odds ratio [OR], 1.45; 95% confidence interval [CI], 1.14-1.84), moderate social vulnerability (OR, 1.26; 95% CI, 1.06-1.50), an advanced disease stage (OR, 4.42; 95% CI, 3.51-5.82), or perioperative opioid use (OR, 3.07; 95% CI, 2.59-3.63. After control for competing risk factors, patients who experienced NPOU were more likely to visit a hospital for falls, respiratory events, or pain symptoms (OR, 1.45, 95% CI 1.18-1.78). Moreover, patients who experienced NPOU had a greater risk of death at 1 year (hazard ratio [HR], 2.15; 95% CI, 1.74-2.66). CONCLUSION: Approximately 1 in 15 patients experienced NPOU after GI cancer surgery. NPOU was associated with an increased risk of subsequent hospital visits and higher mortality. Targeted interventions for individuals at higher risk for NPOU after surgery should be used to help mitigate the harmful effects of NPOU.

Practice Patterns and Outcomes Among Surgical Oncology Fellowship Graduates Performing Complex Cancer Surgery in the United States Across Different Career Stages.

BACKGROUND: Practice patterns and potential quality differences among surgical oncology fellowship graduates relative to years of independent practice have not been defined. METHODS: Medicare claims were used to identify patients who underwent esophagectomy, pancreatectomy, hepatectomy, or rectal resection for cancer between 2016 and 2021. Surgical oncology fellowship graduates were identified, and the association between years of independent practice, serious complications, and 90-day mortality was examined. RESULTS: Overall, 11,746 cancer operations (pancreatectomy [61.2%], hepatectomy [19.5%], rectal resection [13.7%], esophagectomy [5.6%]) were performed by 676 surgical oncology fellowship graduates (females: 17.7%). The operations were performed for 4147 patients (35.3%) by early-career surgeons (1-7 years), for 4104 patients (34.9%) by mid-career surgeons (8-14 years), and for 3495 patients (29.8%) by late-career surgeons (>15 years). The patients who had surgery by early-career surgeons were treated more frequently at a Midwestern (24.9% vs. 14.2%) than at a Northeastern institution (20.6% vs. 26.9%) compared with individuals treated by late-career surgeons (p < 0.05). Surgical oncologists had comparable risk-adjusted serious complications and 90-day mortality rates irrespective of career stage (early career [13.0% and 7.2%], mid-career [12.6% and 6.3%], late career [12.8% and 6.5%], respectively; all p > 0.05). Surgeon case-specific volume independently predicted serious complications across all career stages (high vs. low volume: early career [odds ratio {OR}, 0.80; 95% confidence interval {CI}, 0.65-0.98]; mid-career [OR, 0.81; 95% CI, 0.66-0.99]; late career [OR, 0.78; 95% CI, 0.62-0.97]). CONCLUSION: Among surgical oncology fellowship graduates performing complex cancer surgery, rates of serious complications and 90-day mortality were comparable between the early-career and mid/late-career stages. Individual surgeon case-specific volume was strongly associated with postoperative outcomes irrespective of years of independent practice or career stage.

Healthcare utilization and expenditures among patients with venous thromboembolism following gastrointestinal cancer surgery.

BACKGROUND: We sought to assess healthcare utilization and expenditures among patients who developed venous thromboembolism (VTE) after gastrointestinal cancer surgery. METHODS: Patients who underwent surgery for esophageal, gastric, hepatic, biliary duct, pancreatic, and colorectal cancer between 2013 and 2020 were identified using the MarketScan database. Entropy balancing was performed to obtain a cohort that was well balanced relative to different clinical covariates. Generalized linear models were used to compare 1-year postdischarge costs among patients who did and did not develop a postoperative VTE. RESULTS: Among 20,253 individuals in the analytical cohort (esophagus [n = 518 {2.6%}], stomach [n = 970 {4.8%}], liver [n = 608 {3.0%}], bile duct [n = 294 {1.5%}], pancreas [n = 1511 {7.5%}], colon [n = 12,222 {60.3%}], and rectum [n = 4130 {20.4%}]), 894 (4.4%) developed VTE. Overall, most patients were male (n = 10,656 [52.6%]), aged between 55 and 64 years (n = 10,372 [51.2%]), and were employed full time (n = 11,408 [56.3%]). On multivariable analysis, VTE was associated with higher inpatient (mean difference [MD], $17,547; 95% CI, $15,141-$19,952), outpatient (MD, $8769; 95% CI, $7045-$10,491), and pharmacy (MD, $2811; 95% CI, $2509-$3113) expenditures (all P < .001). Furthermore, patients who developed VTE had higher out-of-pocket costs for inpatient (MD, $159; 95% CI, $66-$253) and pharmacy (MD, $122; 95% CI, $109-$136) services (all P < .001). CONCLUSION: Among privately insured patients aged <65 years, VTE was associated with increased healthcare utilization and expenditures during the first year after discharge.

Association of preoperative cholangitis with outcomes and expenditures among patients undergoing pancreaticoduodenectomy.

BACKGROUND: This study aimed to characterize the association of preoperative acute cholangitis (PAC) with surgical outcomes and healthcare costs. METHODS: Patients who underwent pancreaticoduodenectomy (PD) between 2013 and 2021 were identified using 100% Medicare Standard Analytic Files. PAC was defined as the occurrence of at least 1 episode of acute cholangitis within the year preceding surgery. Multivariable regression analyses were used to compare postoperative outcomes and costs relative to PAC. RESULTS: Among 23,455 Medicare beneficiaries who underwent PD, 2,217 patients (9.5%) had at least 1 episode of PAC. Most patients (n = 14,729 [62.8%]) underwent PD for a malignant indication. On multivariable analyses, PAC was associated with elevated odds of surgical site infection (odds ratio [OR], 1.14; 95% CI, 1.01-1.29), sepsis (OR, 1.17; 95% CI, 1.01-1.37), extended length of stay (OR, 1.13; 95% CI, 1.01-1.26), and readmission within 90 days (OR, 1.14; 95% CI, 1.04-1.26). Patients with a history of PAC before PD had a reduced likelihood of achieving a postoperative textbook outcome (OR, 0.83; 95% CI, 0.75-0.92) along with 87.8% and 18.4% higher associated preoperative and postoperative healthcare costs, respectively (all P < .001). Overall costs increased substantially among patients with more than 1 PAC episode ($59,893 [95% CI, $57,827-$61,959] for no episode vs $77,922 [95% CI, $73,854-$81,990] for 1 episode vs $101,205 [95% CI, $94,871-$107,539] for multiple episodes). CONCLUSION: Approximately 1 in 10 patients undergoing PD experienced an antecedent PAC episode, which was associated with adverse surgical outcomes and greater healthcare expenditures.

Impact of early primary care physician follow-up on hospital readmission following gastrointestinal cancer surgery.

BACKGROUND: We sought to examine the association between primary care physician (PCP) follow-up on readmission following gastrointestinal (GI) cancer surgery. METHODS: Patients who underwent surgery for GI cancer were identified using the Surveillance, Epidemiology and End Results (SEER) database. Multivariable regression was performed to examine the association between early PCP follow-up and hospital readmission. RESULTS: Among 60 957 patients who underwent GI cancer surgery, 19 661 (32.7%) visited a PCP within 30-days after discharge. Of note, patients who visited PCP were less likely to be readmitted within 90 days (PCP visit: 17.4% vs. no PCP visit: 28.2%; p < 0.001). Median postsurgical expenditures were lower among patients who visited a PCP (PCP visit: $4116 [IQR: $670-$13 860] vs. no PCP visit: $6700 [IQR: $870-$21 301]; p < 0.001). On multivariable analysis, PCP follow-up was associated with lower odds of 90-day readmission (OR: 0.52, 95% CI: 0.50-0.55) (both p < 0.001). Moreover, patients who followed up with a PCP had lower risk of death at 90-days (HR: 0.50, 95% CI: 0.40-0.51; p < 0.001). CONCLUSION: PCP follow-up was associated with a reduced risk of readmission and mortality following GI cancer surgery. Care coordination across in-hospital and community-based health platforms is critical to achieve optimal outcomes for patients.

Prognostic significance of postoperative complications for patients with hepatocellular carcinoma relative to alpha-feto protein and tumor burden score.

BACKGROUND: We sought to elucidate the impact of postoperative complications on patient outcomes relative to differences in alpha-fetoprotein-tumor burden score (ATS) among patients with hepatocellular carcinoma (HCC). METHODS: Patients who underwent resection of HCC between 2000 and 2020 were identified from an international database. Moderate/severe complications were defined using the optimal cut-off value of the comprehensive complication index (CCI) based on the log-rank test. RESULTS: A total of 1124 patients was included. CCI cut-off value of 16.6 was identified as the optimal prognostic threshold. Patients who experienced moderate/severe complications were more likely to have worse recurrence free survival [RFS] versus individuals who had no/mild complications (2-year RFS; no/mild complication: 55.9% vs. moderate/severe complication: 38.1% p < 0.001). Of note, low and medium ATS patients who experienced moderate/severe complications had a higher risk of recurrence (2-year RFS; no/mild complication: postoperative complications 70.0% vs. moderate/severe complication: 51.1%, p = 0.006; medium: no/mild complication: 50.8% vs moderate/severe complication: 56.7%, p = 0.01); however, postoperative complications were not associated with worse outcomes among patients with high ATS (no/mild complication: 39.1% vs. moderate/severe complication: 29.2%, p = 0.20). CONCLUSION: These data serve to emphasize how reduction in postoperative complications may be crucial to improve prognosis, particularly among patients with favorable HCC characteristics.

Association of county-level provider density and social vulnerability with colorectal cancer-related mortality.

BACKGROUND: Health care providers play a crucial role in increasing overall awareness, screening, and treatment of cancer, leading to reduced cancer mortality. We sought to characterize the impact of provider density on colorectal cancer population-level mortality. METHODS: County-level provider data, obtained from the Area Health Resource File between 2016 and 2018, were used to calculate provider density per county. These data were merged with county-level colorectal cancer mortality 2016-2020 data from the Centers for Disease Control and Prevention. Multivariable regression was performed to define the association between provider density and colorectal cancer mortality. RESULTS: Among 2,863 counties included in the analytic cohort, 1,132 (39.5%) and 1,731 (60.5%) counties were categorized as urban and rural, respectively. The colorectal cancer-related crude mortality rate was higher in counties with low provider density versus counties with moderate or high provider density (low = 22.9, moderate = 21.6, high = 19.3 per 100,000 individuals; P < .001). On multivariable analysis, the odds of colorectal cancer mortality were lower in counties with moderate and high provider density versus counties with low provider density (moderate odds ratio 0.97, 95% confidence interval 0.94-0.99; high odds ratio 0.88, 95% confidence interval 0.86-0.91). High provider density remained associated with a lower likelihood of colorectal cancer mortality independent of social vulnerability index (low social vulnerability index and high provider density: odds ratio 0.85, 95% confidence interval 0.81-0.89; high social vulnerability index and high provider density: odds ratio 0.93, 95% confidence interval 0.89-0.98). CONCLUSION: Regardless of social vulnerability index, high county-level provider density was associated with lower colorectal cancer-related mortality. Efforts to increase access to health care providers may improve health care equity, as well as long-term cancer outcomes.

The Role of Delirium on Short- and Long-Term Postoperative Outcomes Following Major Gastrointestinal Surgery for Cancer.

INTRODUCTION: The growing burden of an aging population has raised concerns about demands on healthcare systems and resources, particularly in the context of surgical and cancer care. Delirium can affect treatment outcomes and patient recovery. We sought to determine the prevalence of postoperative delirium among patients undergoing digestive tract surgery for malignant indications and to analyze the role of delirium on surgical outcomes. METHODS: Medicare claims data were queried to identify patients diagnosed with esophageal, gastric, hepatobiliary, pancreatic, and colorectal cancers between 2018 and 2021. Postoperative delirium, occurring within 30 days of operation, was identified via International Classification of Diseases, 10th edition codes. Clinical outcomes of interested included "ideal" textbook outcome (TO), characterized as the absence of complications, an extended hospital stay, readmission within 90 days, or mortality within 90 days. Discharge disposition, intensive care unit (ICU) utilization, and expenditures also were examined. RESULTS: Among 115,654 cancer patients (esophageal: n = 1854, 1.6%; gastric: n = 4690, 4.1%; hepatobiliary: n = 6873, 5.9%; pancreatic: n = 8912, 7.7%; colorectal: n = 93,325, 90.7%), 2831 (2.4%) were diagnosed with delirium within 30 days after surgery. On multivariable analysis, patients with delirium were less likely to achieve TO (OR 0.27 [95% CI 0.25-0.30]). In particular, patients who experienced delirium had higher odds of complications (OR 3.00 [2.76-3.25]), prolonged length of stay (OR 3.46 [3.18-3.76]), 90-day readmission (OR 1.96 [1.81-2.12]), and 90-day mortality (OR 2.78 [2.51-3.08]). Furthermore, patients with delirium had higher ICU utilization (OR 2.85 [2.62-3.11]). Upon discharge, patients with delirium had a decreased likelihood of being sent home (OR 0.40 [0.36-0.46]) and instead were more likely to be transferred to a skilled nursing facility (OR 2.17 [1.94-2.44]). Due to increased utilization of hospital resources, patients with delirium incurred in-hospital expenditures that were 55.4% higher (no delirium: $16,284 vs. delirium: $28,742) and 90-day expenditures that were 100.7% higher (no delirium: $2564 vs. delirium: $8226) (both p < 0.001). Notably, 3-year postoperative survival was adversely affected by delirium (no delirium: 55.5% vs. delirium: 37.3%), even after adjusting risk for confounding factors (HR 1.79 [1.70-1.90]; p < 0.001). CONCLUSIONS: Postoperative delirium occurred in one in 50 patients undergoing surgical resection of a digestive tract cancer. Delirium was linked to a reduced likelihood of achieving an optimal postoperative outcome, increased ICU utilization, higher expenditures, and a worse long-term prognosis. Initiatives to prevent delirium are vital to improve postoperative outcomes among cancer surgery patients.

Association of Hospital Market Competition with Outcomes of Complex Cancer Surgery.

BACKGROUND: The association of hospital market competition, financial costs, and quality of oncologic care has not been well-defined. This study sought to evaluate variations in patient outcomes and financial expenditures after complex cancer surgery across high- and low-competition markets. METHODS: Medicare 100% Standard Analytic Files were used to identify patients with lung, esophageal, gastric, hepatopancreaticobiliary, or colorectal cancer who underwent surgical resection between 2018 and 2021. Data were merged with the annual hospital survey database, and the hospital market Herfindahl-Hirschman index was used to categorize hospitals into low- and high-concentration markets. Multi-level, multivariable regression models adjusting for patient characteristics (i.e., age, sex, comorbidities, and social vulnerability), year of procedure, and hospital factors (i.e., case volume, nurse-bed ratio, and teaching status) were used to assess the association between hospital market competition and outcomes. RESULTS: Among 117,641 beneficiaries who underwent complex oncologic surgery, the mean age was 73.8 ± 6.1 years, and approximately one-half of the cohort was male (n = 56,243, 47.8%). Overall, 63.8% (n = 75,041) of the patients underwent care within a high-competition market. Notably, there was marked geographic variation relative to market competition. High versus low market-competition hospitals were more likely to be in high social vulnerability areas (35.1 vs 27.5%; p < 0.001), as well as care for racial/ethnic minority individuals (13.8 vs 7.7%; p < 0.001), and patients with more comorbidities (≥ 2 Elixhauser comorbidities: 63.1 vs 61.1%; p < 0.001). In the multivariable analysis, treatment at hospitals in high- versus low-competition markets was associated with lower odds of achieving a textbook outcome (odds ratio, 0.95; 95% confidence interval, 0.91-0.99; p = 0.009). Patients at high-competition hospitals had greater mean index hospitalization costs ($19,462.2 [16211.9] vs $18,844.7 [14994.7]) and 90-day post-discharge costs ($7807.8 [15431.3] vs $7332.8 [14038.2]) (both p < 0.001) than individuals at low-competition hospitals. CONCLUSIONS: Hospital market competition was associated with poor achievement of an optimal postoperative outcome and greater hospitalization costs.