Comparison of a risk calculator with frailty indices in patients undergoing lung cancer resection.

INTRODUCTION: Perioperative risk stratification is an essential component of preoperative planning for cancer surgery. While frailty has gained attention for its utility in risk stratification, no studies have directly compared it to existing risk calculators. Therefore, the objective of this study was to compare the risk stratification of the American College of Surgeons Surgical Risk Calculator (ACS-SRC), the Revised Risk Analysis Index (RAI-rev), and the Modified Frailty Index (5-mFI). The primary outcomes were 30-day postoperative morbidity, 30-day postoperative mortality, unplanned readmission, unplanned reoperation, and discharge disposition other-than-home. METHODS: Patients undergoing anatomic lung resection for primary, non-small cell lung cancer were identified within the American College of Surgeons National Quality Improvement Program (ACS NSQIP) database. The ACS-SRC, RAI-rev, and 5-mFI tools were used to predict adverse postoperative events. Tools were compared for discrimination in the primary outcomes. RESULTS: 9663 patients undergoing anatomic lung resection for cancer between 2012 and 2014 were included. The cohort was 53.1% female. Median age at diagnosis was 67 (interquartile range = 59-74) years. Cardiothoracic surgeons performed 89% and general surgeons performed 11.0% of the operations. Perioperative morbidity and mortality rates were 10.9% (n = 1048) and 1.6% (n = 158). Rates of 30-day postoperative unplanned readmission and reoperation were 7.5% (n = 725) and 4.8% (n = 468). The ACS-SRC had the highest discrimination for all measured outcomes, as measured by the area under the receiver operating curve (AUC) and corresponding confidence interval (95% confidence interval [CI]). This included perioperative mortality (AUC = 0.74, 95% CI = 0.71-0.78), compared to RAI-rev (AUC = 0.66, 95% CI = 0.62-0.69) and 5-mFI (AUC = 0.61, 95% CI = 0.57-0.65; p < 0.001). The RAI-rev and 5-mFI had similar discrimination for all measured outcomes. CONCLUSION: ACS-SRC was the perioperative risk stratification tool with the highest predictive discrimination for adverse, 30-day, postoperative events for patients with cancer treated with anatomic lung resection.

Assessment of Intermediate-Term Mortality Following Pancreatectomy for Cancer.

BACKGROUND: Pancreatic cancer remains highly lethal and resection represents the only chance for cure. Although patients are counseled regarding short-term (0-3 months) mortality, little is known about mortality 3-6 months (intermediate-term) following surgery. We assessed predictors of intermediate-term mortality, evaluated hospital-level variation, and developed a nomogram to predict intermediate-term mortality risk. METHODS: Patients undergoing pancreatic cancer resection were identified from the National Cancer Database (2010-2020). Multivariable logistic regression identified predictors of intermediate-term mortality and assessed differences between short-term and intermediate-term mortality. Multinomial regression grouped by intermediate-term mortality quartiles evaluated hospital-level variation. A neural network model was constructed to predict intermediate-term mortality risk. All statistical tests were 2-sided. RESULTS: Of 45,297 patients, 3,974 (8.9%) died within 6-months of surgery of which 2,216 (5.1%) were intermediate-term. Intermediate-term mortality was associated with increasing T-category, positive nodes, lack of systemic therapy, and positive margins (all p < .05) compared with survival beyond 6-months. Compared with short-term, intermediate-term mortality was associated with treatment at high-volume hospitals, positive nodes, neoadjuvant systemic therapy, adjuvant radiotherapy, and positive margins (all p < .05). Median intermediate-term mortality rate per hospital was 4.5% (IQR 2.6-6.5). Highest quartile hospitals had decreased odds of treatment with neoadjuvant systemic therapy, neoadjuvant radiotherapy, and adjuvant radiotherapy (all p < .05). The neural network nomogram was highly accurate (Accuracy: 0.9499; AUC-ROC of 0.7531) in predicting individualized intermediate-term mortality risk. CONCLUSION: Nearly 10% of patients undergoing pancreatectomy for cancer died within 6-months of which half occurred in the intermediate-term. These data have real-world implications to improve shared decision-making when discussing curative-intent pancreatectomy.

The Use of Hepatic Artery Infusion Chemotherapy for Unresectable Colorectal Cancer Liver Metastases.

Colorectal cancer (CRC) is the third most commonly diagnosed cancer in men and women (Siegel et al. in CA Cancer J Clin 72(1):7-33). Over one-half of newly diagnosed individuals will develop liver metastases. Among those with liver-only metastatic disease, only about one in five will be candidates for potentially curable resection.

Divergent Trends in Postoperative Length of Stay and Postdischarge Complications over Time.

BACKGROUND: There is a push toward shorter length of stay (LOS) after surgery by hospitals, payers, and policymakers. However, the extent to which these changes have shifted the occurrence of complications to the postdischarge setting is unknown. The objectives of this study were to (1) evaluate changes in LOS and postdischarge complications over time and (2) assess factors associated with postdischarge complications. STUDY DESIGN: Patients who underwent surgery across five specialties (colorectal, esophageal, hepatopancreatobiliary [HPB], gynecology, and urology) were identified from the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) procedure-targeted database (2014-2019). Trends in the proportion of postdischarge complications within 30 days of surgery and predictors of postdischarge complications were assessed using multivariable logistic regression. RESULTS: Among 538,172 patients evaluated, median LOS decreased from 3 (2014) to 2 days (2019) (p < 0.001). Overall, 12.2% of patients experienced a 30-day complication, with 50.4% occurring postdischarge. with the highest in hysterectomy (80.9%), prostatectomy (74.6%), and cystectomy (54.6%). The overall postoperative complication decreased, but the proportion of postdischarge complications increased from 44.6% (2014) to 56.4% (2019) (p < 0.001), including surgical site infection (superficial/deep/organ space/wound dehiscence), other infection (pneumonia/urinary tract infection/sepsis), cardiovascular (myocardial infarction/cardiac arrest/stroke), and venous thromboembolism. Factors associated with an increased odds of postdischarge complications included Hispanic or other race, higher American Society of Anesthesiologists class, dependent functional status, increased body mass index, higher wound class, inpatient complication, longer operation, and procedure type (HPB/colorectal/hysterectomy/esophagectomy, vs. prostatectomy) (all p < 0.001). CONCLUSION: This comprehensive retrospective analysis across five representative surgical specialties highlighted that although LOS has decreased over time, the proportion of postdischarge complications has increased over time. Focusing on the development of a comprehensive, proactive, postdischarge monitoring system to better identify and manage postdischarge complications is necessary.

Association of pathologic factors with postoperative venous thromboembolism after gastrointestinal cancer surgery.

BACKGROUND: Venous thromboembolism (VTE) chemoprophylaxis is the standard of care after gastrointestinal (GI) cancer surgery; however, variation in risk based on pathologic factors (eg, stage and histology) is unclear. This study aimed to evaluate the association of pathologic factors with VTE after GI cancer surgery. METHODS: The American College of Surgeons National Surgical Quality Improvement Program procedure targeted datasets were queried for patients who underwent colorectal, pancreatic, primary hepatic, and esophageal cancer surgery between 2017 and 2020. Disease-specific and pathologic factors associated with postoperative VTE were evaluated using multivariable logistic regression. RESULTS: Among 70,934 patients who underwent GI cancer surgery, the incidence rates of 30-day postoperative VTE were 3.3% for pancreatic cancer, 3.2% for esophageal cancer, 2.7% for primary hepatic, and 1.3% for colorectal cancer. T stage was associated with VTE for colorectal cancer (T4 vs T1; odds ratio [OR], 1.79; 95% CI, 1.24-2.60), pancreatic cancer (all T stages vs T1; P < .05), and primary hepatic cancer (T4 vs T1; OR, 2.80; 95% CI, 1.55-5.08). N stage was associated with VTE for colorectal cancer (N2 vs N0; OR, 1.33; 95% CI, 1.04-1.68) and pancreatic cancer (N2 vs N0; OR, 1.36; 95% CI, 1.03-1.81). M stage was associated with VTE for colorectal cancer (OR, 1.47; 95% CI, 1.17-1.85) and esophageal cancer (OR, 2.54; 95% CI, 1.24-5.19). Histologic subtype was not associated with VTE, except for pancreatic neuroendocrine tumors vs adenocarcinoma (OR, 1.34; 95% CI, 1.03-1.74). CONCLUSION: Pathologic factors were associated with higher 30-day VTE risk after GI cancer surgery. Acknowledging the association of pathologic factors on VTE is an important first step to considering a more tailored approach to chemoprophylaxis.

Survival Among Patients With High-Risk Gastrointestinal Cancers During the COVID-19 Pandemic.

Importance: Prior reports demonstrated that patients with cancer experienced worse outcomes from pandemic-related stressors and COVID-19 infection. Patients with certain malignant neoplasms, such as high-risk gastrointestinal (HRGI) cancers, may have been particularly affected. Objective: To evaluate disruptions in care and outcomes among patients with HRGI cancers during the COVID-19 pandemic, assessing for signs of long-term changes in populations and survival. Design, Setting, and Participants: This retrospective cohort study used data from the National Cancer Database to identify patients with HRGI cancer (esophageal, gastric, primary liver, or pancreatic) diagnosed between January 1, 2018, and December 31, 2020. Data were analyzed between August 23 and September 4, 2023. Main Outcome and Measures: Trends in monthly new cases and proportions by stage in 2020 were compared with the prior 2 years. Kaplan-Meier curves and Cox regression were used to assess 1-year mortality in 2020 compared with 2018 to 2019. Proportional monthly trends and multivariable logistic regression were used to evaluate 30-day and 90-day mortality in 2020 compared with prior years. Results: Of the 156 937 patients included in this study, 54 994 (35.0%) were aged 60 to 69 years and 100 050 (63.8%) were men. There was a substantial decrease in newly diagnosed HRGI cancers in March to May 2020, which returned to prepandemic levels by July 2020. For stage, there was a proportional decrease in the diagnosis of stage I (-3.9%) and stage II (-2.3%) disease, with an increase in stage IV disease (7.1%) during the early months of the pandemic. Despite a slight decrease in 1-year survival rates in 2020 (50.7% in 2018 and 2019 vs 47.4% in 2020), survival curves remained unchanged between years (all P > .05). After adjusting for confounders, diagnosis in 2020 was not associated with increased 1-year mortality compared with 2018 to 2019 (hazard ratio, 0.99; 95% CI, 0.97-1.01). The rates of 30-day (2.1% in 2018, 2.0% in 2019, and 2.1% in 2020) and 90-day (4.3% in 2018, 4.4% in 2019, and 4.6% in 2020) operative mortality also remained similar. Conclusions and Relevance: In this retrospective cohort study, a period of underdiagnosis and increase in stage IV disease was observed for HRGI cancers during the pandemic; however, there was no change in 1-year survival or operative mortality. These results demonstrate the risks associated with gaps in care and the tremendous efforts of the cancer community to ensure quality care delivery during the pandemic. Future research should investigate long-term survival changes among all cancer types as additional follow-up data are accrued.

Safety and feasibility of establishing an adjuvant hepatic artery infusion program.

BACKGROUND: Hepatic artery infusion (HAI) is less frequently used in the adjuvant setting for resectable colorectal liver metastasis (CRLM) due to concerns regarding toxicity. Our objective was to evaluate the safety and feasibility of establishing an adjuvant HAI program. METHODS: Patients who underwent HAI pump placement between January 2019 and February 2023 for CRLM were identified. Complications and HAI delivery were compared between patients who received HAI in the unresectable and adjuvant settings. RESULTS: Of 51 patients, 23 received HAI for unresectable CRLM and 28 in the adjuvant setting. Patients with unresectable CRLM more commonly had bilobar disease (n = 23/23 vs n = 18/28, p < 0.01) and more preoperative liver metastases (median 10 [IQR 6-15] vs 4 [IQR 3-7], p < 0.01). Biliary sclerosis was the most common complication (n = 2/23 vs n = 4/28); however, there were no differences in postoperative or HAI-specific complications. In the most recent two years, 0 patients in the unresectable group vs 2 patients in the adjuvant group developed biliary sclerosis. All patients were initiated on HAI with no difference in treatment times or dose reductions. CONCLUSION: Adjuvant HAI is safe and feasible for patients with resectable CRLM. HAI programs can carefully consider including patients with resectable CRLM if managed by an experienced multidisciplinary team with quality assurance controls in place.

Establishing the clinical relevance of grade A post-hepatectomy liver failure.

INTRODUCTION: The International Study Group of Liver Surgery's criteria stratifies post-hepatectomy liver failure (PHLF) into grades A, B, and C. The clinical significance of these grades has not been fully established. METHODS: The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) hepatectomy-targeted database was analyzed. Outcomes between patients without PHLF, with grade A PHLF, and grade B or C PHLF were compared. Univariate and multivariable logistic regression were performed. RESULTS: Six thousand two hundred seventy-four adults undergoing elective major hepatectomy were included in the analysis. The incidence of grade A PHLF was 4.3% and grade B or C was 5.3%. Mortality was similar between patients without PHLF (1.2%) and with grade A PHLF (1.1%), but higher in those with grades B or C PHLF (25.4%). Overall morbidities rates were 19.3%, 41.7%, and 72.8% in patients without PHLF, with grade A PHLF, and with grade B or C PHLF, respectively (p < 0.001). Grade A PHLF was associated with increased morbidity (grade A: odds ratios [OR] 2.7 [95% CI: 2.0-3.5]), unplanned reoperation (grade A: OR 3.4 [95% CI: 2.2-5.1]), nonoperative intervention (grade A: OR 2.6 [95% CI: 1.9-3.6]), length of stay (grade A: OR 3.1 [95% CI: 2.3-4.1]), and readmission (grade A: OR 1.8 [95% CI: 1.3-2.5]) compared to patients without PHLF. CONCLUSIONS: Although mortality was similar between patients without PHLF and with grade A PHLF, other postoperative outcomes were notably inferior. Grade A PHLF is a clinically distinct entity with relevant associated postoperative morbidity.

Access, Outcomes, and Costs Associated with Surgery for Malignancy Among People Experiencing Homelessness.

BACKGROUND: Little is known about surgery for malignancy among people experiencing homelessness (PEH). Poor healthcare access may lead to delayed diagnosis and need for unplanned surgery. This study aimed to (1) characterize access to care among PEH, (2) evaluate postoperative outcomes, and (3) assess costs associated with surgery for malignancy among PEH. METHODS: This was a retrospective cohort study of patients in the Healthcare Cost and Utilization Project (HCUP) who underwent surgery in Florida, New York, or Massachusetts for gastrointestinal or lung cancer from 2016 to 2017. PEH were identified using HCUP's "Homeless" variable and ICD-10 code Z59. Multivariable regression models controlling patient and hospital variables evaluated associations between homelessness and postoperative morbidity, length of stay (LOS), 30-day readmission, and hospitalization costs. RESULTS: Of 67,034 patients at 566 hospitals, 98 (0.2%) were PEH. Most PEH (44.9%) underwent surgery for colorectal cancer. PEH more frequently underwent unplanned surgery than housed patients (65.3% vs 23.7%, odds ratio (OR) 5.17, 95% confidence interval (CI) 3.00-8.92) and less often were treated at cancer centers (66.0% vs 76.2%, p=0.02). Morbidity rates were similar between groups (20.4% vs 14.5%, p=0.10). However, PEH demonstrated higher odds of facility discharge (OR 5.89, 95% CI 3.50-9.78) and readmission (OR 1.81, 95% CI 1.07-3.05) as well as 67.7% longer adjusted LOS (95% CI 42.0-98.2%). Adjusted costs were 32.7% higher (95% CI 14.5-53.9%) among PEH. CONCLUSIONS: PEH demonstrated increased odds of unplanned surgery, longer LOS, and increased costs. These results underscore a need for improved access to oncologic care for PEH.

Association Between Racial and Socioeconomic Disparities and Hospital Performance in Treatment and Outcomes for Patients with Colon Cancer.

BACKGROUND: Disparities in colon cancer care and outcomes by race/ethnicity, socioeconomic status (SES), and insurance are well recognized; however, the extent to which inequalities are driven by patient factors versus variation in hospital performance remains unclear. We sought to compare disparities in care delivery and outcomes at low- and high-performing hospitals. METHODS: We identified patients with stage I-III colon adenocarcinoma from the 2012-2017 National Cancer Database. Adequate lymphadenectomy and timely adjuvant chemotherapy administration defined hospital performance. Multilevel regression models evaluated disparities by race/ethnicity, SES, and insurance at the lowest- and highest-performance quartile hospitals. RESULTS: Of 92,573 patients from 704 hospitals, 45,982 (49.7%) were treated at 404 low-performing hospitals and 46,591 (50.3%) were treated at 300 high-performing hospitals. Low-performing hospitals treated more non-Hispanic (NH) Black, Hispanic, low SES, and Medicaid patients (all p < 0.01). Among low-performing hospitals, patients with low versus high SES (odds ratio [OR] 0.87, 95% confidence interval [CI] 0.82-0.92), and Medicare (OR 0.90, 95% CI 0.85-0.96) and Medicaid (OR 0.88, 95% CI 0.80-0.96) versus private insurance, had decreased odds of receiving high-quality care. At high-performing hospitals, NH Black versus NH White patients (OR 0.83, 95% CI 0.72-0.95) had decreased odds of receiving high-quality care. Low SES, Medicare, Medicaid, and uninsured patients had worse overall survival at low- and high-performing hospitals (all p < 0.01). CONCLUSION: Disparities in receipt of high-quality colon cancer care occurred by SES and insurance at low-performing hospitals, and by race at high-performing hospitals. However, survival disparities by SES and insurance exist irrespective of hospital performance. Future steps include improving low-performing hospitals and identifying mechanisms affecting survival disparities.

Emergency department use after outpatient thyroidectomy across three states.

BACKGROUND: Although outpatient thyroidectomy has become common, few large-scale studies have examined post-thyroidectomy emergency department use, readmission, and encounters not resulting in readmission, known as "treat-and-release" encounters. We evaluated post-outpatient thyroidectomy emergency department use and readmission and characterized associated factors. METHODS: Using the Healthcare Cost and Utilization Project databases, we identified adult outpatient (same-day or <24-hour discharge) thyroidectomies performed in Florida, Maryland, and New York from 2016 to 2017. We identified the procedures linked with emergency department treat-and-release encounters and readmissions within 30 days postoperatively and the factors associated with post-thyroidectomy emergency department use and readmission. RESULTS: Of the 17,046 patients who underwent outpatient thyroidectomy at 374 facilities, 7.5% had emergency department treat-and-release encounters and 2.3% readmissions. The most common reasons for emergency department treat-and-release encounters (9.9%) and readmissions (22.2%) were hypocalcemia-related diagnoses. Greater odds of treat-and-release were associated with identifying as non-Hispanic Black (adjusted odds ratio: 1.5, 95% confidence interval: 1.3-1.8) or Hispanic race/ethnicity (adjusted odds ratio: 1.4, 95% CI: 1.1-1.6), having Medicaid insurance (adjusted odds ratio: 2.7, 95% CI: 2.3-3.2), and living in non-metropolitan areas (adjusted odds ratio: 1.6, 95% CI: 1.1-2.2). We observed no associations between these factors and the odds of readmission. CONCLUSION: Emergency department use after outpatient thyroidectomy is common. Racial, ethnic, socioeconomic, and geographic disparities are associated with treat-and-release encounters but not readmissions. Standardization of perioperative care pathways, focusing on identifying and addressing specific issues in vulnerable populations, could improve care, reduce disparities, and improve patient experience by avoiding unnecessary emergency department visits after outpatient thyroidectomy.

Alterations in Cancer Treatment During the First Year of the COVID-19 Pandemic in the US.

Importance: The COVID-19 pandemic created challenges to the evaluation and treatment of cancer, and abrupt resource diversion toward patients with COVID-19 put cancer treatment on hold for many patients. Previous reports have shown substantial declines in cancer screening and diagnoses in 2020; however, the extent to which the delivery of cancer care was altered remains unclear. Objective: To assess alterations in cancer treatment in the US during the first year of the COVID-19 pandemic. Design, Setting, and Participants: This retrospective cohort study used data from the National Cancer Database (NCDB) on patients older than 18 years with newly diagnosed cancer from January 1, 2018, to December 31, 2020. Main Outcomes and Measures: The main outcomes were accessibility (time to treatment, travel distance, and multi-institutional care), availability (proportional changes in cancer treatment between years), and utilization (reductions by treatment modality, hospital type) of cancer treatment in 2020 compared with 2018 to 2019. Autoregressive models forecasted expected findings for 2020 based on observations from prior years. Results: Of 1 229 654 patients identified in the NCDB in 2020, 1 074 225 were treated for cancer, representing a 16.8% reduction from what was expected. Patients were predominately female (53.8%), with a median age of 66 years (IQR, 57-74 years), similar to demographics in 2018 and 2019. Median time between diagnosis and treatment was 26 days (IQR, 0-36 days) in 2020, and median travel distance for care was 11.1 miles (IQR, 5.0-25.3 miles), similar to 2018 and 2019. In 2020, fewer patients traveled longer distances (20.2% reduction of patients traveling >35 miles). The proportions of patients treated with chemotherapy (32.0%), radiation (29.5%), and surgery (57.1%) were similar to those in 2018 and 2019. Overall, 146 805 fewer patients than expected underwent surgery, 80 480 fewer received radiation, and 68 014 fewer received chemotherapy. Academic hospitals experienced the greatest reduction in cancer surgery and treatment, with a decrease of approximately 484 patients (-19.0%) per hospital compared with 99 patients (-12.6%) at community hospitals and 110 patients (-12.8%) at integrated networks. Conclusions and Relevance: This study found that among patients diagnosed with cancer in 2020, access and availability of treatment remained intact; however, reductions in treated patients varied across treatment modalities and were greater at academic hospitals than at community hospitals and integrated networks compared with expected values. These results suggest the resilience of cancer service lines and frame the economic losses from reductions in cancer treatment during the pandemic.

Venous Thromboembolism Chemoprophylaxis Adherence Rates After Major Cancer Surgery.

Importance: Venous thromboembolism (VTE) represents a major source of preventable morbidity and mortality and is a leading cause of death in the US after cancer surgery. Previous research demonstrated variability in VTE chemoprophylaxis prescribing, although it is unknown how these rates compare with performance in the Veterans Health Administration (VHA). Objective: To determine VTE rates after cancer surgery, as well as rates of inpatient and outpatient (posthospital discharge) chemoprophylaxis adherence within the VHA. Design, Setting, and Participants: This retrospective cohort study within 101 hospitals of the VHA health system included patients aged 41 years or older without preexisting bleeding disorders or anticoagulation usage who underwent surgical treatment for cancer with general surgery, thoracic surgery, or urology between January 1, 2015, and December 31, 2022. The VHA Corporate Data Warehouse, Pharmacy Benefits Management database, and the Veterans Affairs Surgical Quality Improvement Program database were used to identify eligible patients. Data analysis was conducted between January 2022 and July 2023. Exposures: Inpatient surgery for cancer with general surgery, thoracic surgery, or urology. Main Outcomes and Measures: Rates of postoperative VTE events within 30 days of surgery and VTE chemoprophylaxis adherence were determined. Multivariable Poisson regression was used to determine incidence-rate ratios of inpatient and postdischarge chemoprophylaxis adherence by surgical specialty. Results: Overall, 30 039 veterans (median [IQR] age, 67 [62-71] years; 29 386 men [97.8%]; 7771 African American or Black patients [25.9%]) who underwent surgery for cancer and were at highest risk for VTE were included. The overall postoperative VTE rate was 1.3% (385 patients) with 199 patients (0.7%) receiving a diagnosis during inpatient hospitalization and 186 patients (0.6%) receiving a diagnosis postdischarge. Inpatient chemoprophylaxis was ordered for 24 139 patients (80.4%). Inpatient chemoprophylaxis ordering rates were highest for patients who underwent procedures with general surgery (10 102 of 10 301 patients [98.1%]) and lowest for patients who underwent procedures with urology (11 471 of 17 089 patients [67.1%]). Overall, 3142 patients (10.5%) received postdischarge chemoprophylaxis, with notable variation by specialty. Conclusions and Relevance: These findings indicate the overall VTE rate after cancer surgery within the VHA is low, VHA inpatient chemoprophylaxis rates are high, and postdischarge VTE chemoprophylaxis prescribing is similar to that of non-VHA health systems. Specialty and procedure variation exists for chemoprophylaxis and may be justified given the low risks of overall and postdischarge VTE.

Current Practices in Hepatic Artery Infusion (HAI) Chemotherapy: An International Survey of the HAI Consortium Research Network.

BACKGROUND: An increasing number of hepatic artery infusion (HAI) programs have been established worldwide. Practice patterns for this complex therapy across these programs have not been reported. This survey aimed to identify current practice patterns in HAI therapy with the long-term goal of defining best practices and performing prospective studies. METHODS: Using SurveyMonkeyTM, a 28-question survey assessing current practices in HAI was developed by 12 HAI Consortium Research Network (HCRN) surgical oncologists. Content analysis was used to code textual responses, and the frequency of categories was calculated. Scores for rank-order questions were generated by calculating average ranking for each answer choice. RESULTS: Thirty-six (72%) HCRN members responded to the survey. The most common intended initial indications for HAI at new programs were unresectable colorectal liver metastases (uCRLM; 100%) and unresectable intrahepatic cholangiocarcinoma (uIHC; 56%). Practice patterns evolved such that uCRLM (94%) and adjuvant therapy for CRLM (adjCRLM; 72%) have become the most common current indications for HAI at established centers. Referral patterns for pump placement differed between uCRLM and uIHC, with most patients referred while receiving second- and first-line therapy, respectively, with physicians preferring to evaluate patients for HAI while receiving first-line therapy for CRLM. Concern for extrahepatic disease was ranked as the most important factor when considering a patient for HAI. CONCLUSIONS: Indication and patient selection factors for HAI therapy are relatively uniform across most HCRN centers. The increasing use of adjuvant HAI therapy and overall consistency of practice patterns among HCRN centers provides a robust environment for prospective data collection and randomized clinical trials.

Disparities in treatment and survival in early-stage hepatocellular carcinoma in California.

BACKGROUND AND OBJECTIVES: Curative intent therapy is the standard of care for early-stage hepatocellular carcinoma (HCC). However, these therapies are under-utilized, with several treatment and survival disparities. We sought to demonstrate whether the type of facility and distance from treatment center (with transplant capabilities) contributed to disparities in curative-intent treatment and survival for early-stage HCC in California. METHODS: We performed a retrospective analysis of the California Cancer Registry for patients diagnosed with stage I or II primary HCC between 2005 and 2017. Primary and secondary outcomes were receipt of treatment and overall survival, respectively. Multivariable logistic regression and Multivariable Cox proportional hazards regression were used to evaluate associations. RESULTS: Of 19 059 patients with early-stage HCC, only 36% (6778) received curative-intent treatment. Compared to Non-Hispanic White patients, Hispanic patients were less likely, and Asian/Pacific Islander patients were more likely to receive curative-intent treatment. Our results showed that rural residence, public insurance, lower neighborhood SES, and care at non-National Cancer Institute-designated cancer center were associated with not receiving treatment and decreased survival. CONCLUSIONS: Although multiple factors influence receipt of treatment for early-HCC, our findings suggest that early intervention programs should target travel barriers and access to specialist care to help improve oncologic outcomes.

Evaluation of Nationwide Trends in Nodal Sampling Guideline Adherence for Gastric Cancer: 2005-2017.

INTRODUCTION: Surgical resection is the primary curative treatment for localized gastric cancer. A multitude of research supports surgical nodal sampling guidelines. Though there are known disparities in adherence to nodal sampling, it is unclear how hospital program-level disparities have changed over time. The purpose of this study is to evaluate trends in program-level disparities in adherence to gastric cancer nodal sampling guidelines. METHODS: Patients who underwent resection of gastric cancer from 2005 to 2017 were identified in the National Cancer Database. Patients treated at academic programs were compared to those treated at nonacademic programs, and rates and trends of adherence to nodal sampling guidelines (defined as ≥15 lymph nodes) were determined. Adjusted multivariable analysis was used to determine likelihood of nodal sampling adherence while controlling for sociodemographic, clinical, hospital, and travel distance characteristics. RESULTS: A total of 55,421 patients were included with 27,201 (49.1%) of patients meeting adherence criteria for lymph node sampling. Academic programs treated 44.4% of the total cohort. Overall, lymph node sampling criteria were met in 59.2% of patients treated at high-volume academic programs and 37.0% of patients treated at low-volume nonacademic programs (incidence rate ratios 0.67, 95% confidence interval 0.63-0.72 versus high-volume academic programs). Adherence rates improved from 2005 to 2017 for both low-volume nonacademic programs (27.8% in 2005 to 50.1% in 2017) and high-volume academic programs (46.0% in 2005 to 69.8% in 2017, P < 0.001). CONCLUSIONS: Though adherence rates have improved from 2005 to 2017, high-volume academic programs were more likely to adhere to lymph node sampling guidelines for gastric cancer.