Association of patient socioeconomic status with outcomes after palliative treatment for disseminated cancer.

BACKGROUND: Palliative treatment has been associated with improved quality of life and survival for a wide variety of metastatic cancers. However, it is unclear whether the benefits of palliative treatment are uniformly experienced across the US cancer population. We evaluated patterns and outcomes of palliative treatment based on socioeconomic, sociodemographic and treating facility characteristics. METHODS: Patients diagnosed between 2008 and 2019 with Stage IV primary cancer of nine organ sites were analyzed in the National Cancer Database. The association between identified variables, and outcomes concerning the administration of palliative treatment were analyzed with multivariable logistic regression and Cox proportional hazard models. RESULTS: Overall 238,995 (23.6%) of Stage IV patients received palliative treatment, which increased over time for all cancers (from 20.7% in 2008 to 25.6% in 2019). Palliative treatment utilization differed significantly by region (West less than Northeast, OR: 0.55 [0.54-0.56], p < 0.001) and insurance payer status (uninsured greater than private insurance, OR: 1.35 [1.32-1.39], p < 0.001). Black race and Hispanic ethnicity were also associated with lower rates of palliative treatment compared to White and non-Hispanics respectively (OR for Blacks: 0.91 [0.90-0.93], p < 0.001 and OR for Hispanics: 0.79 [0.77-0.81] p < 0.001). CONCLUSIONS: There are important differences in the utilization of palliative treatment across different populations in the United States. A better understanding of variability in palliative treatment use and outcomes may identify opportunities to improve informed decision making and optimize quality of care at the end-of-life.

Medicaid Expansion Under the Affordable Care Act and Early Mortality Following Lung Cancer Surgery.

Importance: Medicaid expansion under the Patient Protection and Affordable Care Act is associated with gains in health insurance coverage, earlier stage diagnosis, and improved survival among patients with cancer. Objective: To examine the association of Medicaid expansion with changes in early mortality among adults undergoing surgical resection of non-small cell lung cancer (NSCLC), a setting in which access to care is a major determinant of survival. Design, Setting, and Participants: This cohort study used the National Cancer Database to identify 14 984 adults 45 to 64 years of age who underwent surgical resection of NSCLC between 2008 and 2019. Analysis was conducted between March 28, 2021, and September 1, 2023. Exposure: State of residence Medicaid expansion status. Main Outcomes and Measures: Descriptive statistics were used to compare study population characteristics by Medicaid expansion status of patients' state of residence. Difference-in-differences analyses were used to evaluate the association between Medicaid expansion and postoperative mortality before implementation of the ACA (2008-2013) vs after (2014-2019). Results: Among 14 984 adults included, the mean (SD) age was 56.3 (5.1) years, 54.6% were women, and 62.1% lived in Medicaid expansion states. Both 30-day (from 0.97% to 0.26%) and 90-day (from 2.63% to 1.32%) postoperative mortality decreased from before the ACA to after among patients residing in Medicaid expansion states (both P < .001) but not in nonexpansion states (30-day mortality before the ACA, 0.75% vs after the ACA, 0.68%; P = .74; and 90-day mortality before the ACA, 2.43% vs after the ACA, 2.20%; P = .57), leading to a difference-in-differences of -0.64 percentage points (95% CI, -1.19 to -0.08; P = .03) for 30-day mortality and -1.08 percentage points (95% CI, -2.08 to -0.08; P = .03) for 90-day mortality. The difference-in-differences for in-hospital mortality was not significant (P = .34) between expansion states (1.41% before the ACA to 0.77% after the ACA; 0.63 percentage point decrease; P = .004) and nonexpansion states (1.49% before the ACA to 1.20% after the ACA; 0.30 percentage point decrease; P = .29). Conclusions and Relevance: In this cohort study of patients with NSCLC, Medicaid expansion was associated with declines in 30- and 90-day postoperative mortality following hospital discharge. These findings suggest that Medicaid expansion may be an effective strategy for improving access to care and cancer outcomes in this population.

Assessment of a collaborative treatment model for trimodal management of esophageal cancer.

Background: Patients with esophageal cancer often receive care in a collaborative (multi-institutional) treatment model as opposed to a single institutional model. The effect of a collaborative model on the quality of trimodality therapy and survival is unknown. Methods: The National Cancer Database (NCDB) was used to identify patients receiving neoadjuvant chemoradiotherapy (CRT) followed by esophagectomy for esophageal cancer between 2012-2017. Patients who received neoadjuvant therapy and surgery at a single institution were compared to those that received collaborative treatment across multiple institutions. Outcomes included adherence to guideline recommended multiagent chemotherapy, receipt of 41.4-50.4 Gy of radiation, R0 resection, pathologic complete response (pCR), and 5-year survival. Sociodemographics, comorbidities, and tumor characteristics were assessed in bivariate and multivariable analysis. Results: Among 8,396 patients identified, 39% received treatment at a single institution, while 61% received collaborative treatment. Median travel distance to the site of esophagectomy was two times greater for patients receiving collaborative treatment (30 vs. 15 miles; P<0.001). Patients in the collaborative cohort were less likely to receive guideline-recommended multiagent chemotherapy (85% vs. 96%; P<0.001) and 41.4-50.4 Gy of radiation (89% vs. 91%; P=0.01). R0 resection rates were similar (94.4% vs. 93.7%; P=0.17). Patients who received collaborative treatment had an increased rate of pCR (24% vs. 22%; P=0.02). Overall, 90-day and 5-year survival were 92.9% and 42.6% respectively and did not differ significantly between the two groups. Conclusions: Collaborative trimodality treatment of esophageal cancer is a common and reasonable practice model, which may alleviate patient travel burden with only a modest impact on the quality of CRT, pCR, 90-day survival, and 5-year survival.

Acceptance of Simulated Adult Patients With Medicaid Insurance Seeking Care in a Cancer Hospital for a New Cancer Diagnosis.

Importance: Although there have been significant increases in the number of US residents insured through Medicaid, the ability of patients with Medicaid to access cancer care services is less well known. Objective: To assess facility-level acceptance of Medicaid insurance among patients diagnosed with common cancers. Design, Setting, and Participants: This national cross-sectional secret shopper study was conducted in 2020 in a random sample of Commission on Cancer-accredited facilities in the United States using a simulated cohort of Medicaid-insured adult patients with colorectal, breast, kidney, and melanoma skin cancer. Exposures: Telephone call requesting an appointment for a patient with Medicaid with a new cancer diagnosis. Main Outcomes and Measures: Acceptance of Medicaid insurance for cancer care. Descriptive statistics, χ2 tests, and multivariable logistic regression models were used to examine factors associated with Medicaid acceptance for colorectal, breast, kidney, and skin cancer. High access hospitals were defined as those offering care across all 4 cancer types surveyed. Explanatory measures included facility-level factors from the 2016 American Hospital Association Annual Survey and Centers for Medicare & Medicaid Services General Information database. Results: A nationally representative sample of 334 facilities was created, of which 226 (67.7%) provided high access to patients with Medicaid seeking cancer care. Medicaid acceptance differed by cancer site, with 319 facilities (95.5%) accepting Medicaid insurance for breast cancer care; 302 (90.4%), colorectal; 290 (86.8%), kidney; and 266 (79.6%), skin. Comprehensive community cancer programs (OR, 0.4; 95% CI, 0.2-0.7; P = .007) were significantly less likely to provide high access to care for patients with Medicaid. Facilities with nongovernment, nonprofit (vs for-profit: OR, 3.5; 95% CI, 1.1-10.8; P = .03) and government (vs for-profit: OR, 6.6; 95% CI, 1.6-27.2; P = .01) ownership, integrated salary models (OR, 2.6; 95% CI, 1.5-4.5; P = .001), and average (vs above-average: OR, 6.4; 95% CI, 1.4-29.6; P = .02) or below-average (vs above-average: OR, 8.4; 95% CI, 1.5-47.5; P = .02) effectiveness of care were associated with high access to Medicaid. State Medicaid expansion status was not significantly associated with high access. Conclusions and Relevance: This study identified access disparities for patients with Medicaid insurance at centers designated for high-quality care. These findings highlight gaps in cancer care for the expanding population of patients receiving Medicaid.

Understanding the Implications of Medicaid Expansion for Cancer Care in the US: A Review.

IMPORTANCE: Insurance status has been linked to important differences in cancer treatment and outcomes in the US. With more than 15 million individuals gaining health insurance through Medicaid expansion, there is an increasing need to understand the implications of this policy within the US cancer population. This review provides an overview of the fundamental principles and nuances of Medicaid expansion, as well as the implications for cancer care. OBSERVATIONS: The Patient Protection and Affordable Care Act presented states with an option to expand Medicaid coverage by broadening the eligibility criteria (eg, raising the eligible income level). During the past 10 years, Medicaid expansion has been credited with a 30% reduction in the population of uninsured individuals in the US. Such a significant change in the insurance profile could have important implications for the 1.7 million patients diagnosed with cancer each year, the oncology teams that care for them, and policy makers. However, several factors may complicate efforts to characterize the effect of Medicaid expansion on the US cancer population. Most notably, there is considerable variation among states in terms of whether Medicaid expansion took place, when expansion occurred, eligibility criteria for Medicaid, and coverage types that Medicaid provides. In addition, economic and health policy factors may be intertwined with factors associated with Medicaid expansion. Finally, variability in the manner in which cancer care has been captured and depicted in large databases could affect the interpretation of findings associated with expansion. CONCLUSIONS AND RELEVANCE: The expansion of Medicaid was a historic public policy initiative. To fully leverage this policy to improve oncological care and to maximize learning for subsequent policies, it is critical to understand the effect of Medicaid expansion. This review aims to better prepare investigators and their audiences to fully understand the implications of this important health policy initiative.

Where the Other Half Dies: Analysis of Mortalities Occurring More Than 30 Days After Complex Cancer Surgery.

BACKGROUND: Nearly half of operative mortalities occur outside the traditionally studied 30-day period after surgery. To identify additional opportunities to improve surgical safety, the circumstances of deaths occurring 31-90 days after complex cancer surgery are analyzed. PATIENTS AND METHODS: Patients aged ≥ 65 years who died within 90 days of complex cancer surgery for nonmetastatic cancer were analyzed in the Surveillance, Epidemiology, and End Results (SEER)-Medicare and the Connecticut Tumor Registry (CTR) databases. RESULTS: Of the 36,114 patients undergoing complex cancer surgery from 2004 to 2013 in SEER-Medicare, 1367 (3.8%) died within 31-90 days ("late mortalities"). Seventy-eight percent of late mortalities were readmitted prior to death. The highest proportion of late mortalities occurred during a readmission (49%), and 11% were never discharged from their index admission. Cause of death (COD) was largely attributed to the malignancy itself (56%), which is unlikely to be the underlying cause. Of the noncancer COD, cardiac causes were most frequent (34%), followed by pulmonary causes (18%). Death was rarely attributed to thromboembolic disease (< 1%). The CTR provided location of death, which was most commonly in a hospital (65%) or nursing facility (20%); death at home was rare (6%). CONCLUSIONS: The vast majority of patients dying between 31 and 90 days of surgery were admitted to a hospital or nursing facility at the time of their death after initially being discharged, and few patients died at home. Greater clarity in death documentation is needed to identify specific opportunities to rescue patients from fatal complications arising in the later postoperative period.

COVID-19 guidance for triage of operations for thoracic malignancies: A consensus statement from Thoracic Surgery Outcomes Research Network.

The extraordinary demands of managing the COVID-19 pandemic has disrupted the world's ability to care for patients with thoracic malignancies. As a hospital's COVID-19 population increases and hospital resources are depleted, the ability to provide surgical care is progressively restricted, forcing surgeons to prioritize among their cancer populations. Representatives from multiple cancer, surgical, and research organizations have come together to provide a guide for triaging patients with thoracic malignancies as the impact of COVID-19 evolves as each hospital.

Differential Safety Between Top-Ranked Cancer Hospitals and Their Affiliates for Complex Cancer Surgery.

Importance: Leading cancer hospitals have increasingly shared their brands with other hospitals through growing networks of affiliations. However, the brand of top-ranked cancer hospitals may evoke distinct reputations for safety and quality that do not extend to all hospitals within these networks. Objective: To assess perioperative mortality of Medicare beneficiaries after complex cancer surgery across hospitals participating in networks with top-ranked cancer hospitals. Design, Setting, and Participants: A cross-sectional study was performed of the Centers for Medicare & Medicaid Services 100% Medicare Provider and Analysis Review file from January 1, 2013, to December 31, 2016, for top-ranked cancer hospitals (as assessed by U.S. News and World Report) and affiliated hospitals that share their brand. Participants were 29 228 Medicare beneficiaries older than 65 years who underwent complex cancer surgery (lobectomy, esophagectomy, gastrectomy, colectomy, and pancreaticoduodenectomy [Whipple procedure]) between January 1, 2013, and October 1, 2016. Exposures: Undergoing complex cancer surgery at a top-ranked cancer hospital vs an affiliated hospital. Main Outcomes and Measures: Risk-adjusted 90-day mortality estimated using hierarchical logistic regression and comparison of the relative safety of hospitals within each cancer network estimated using standardized mortality ratios. Results: A total of 17 300 patients (59.2%; 8612 women and 8688 men; mean [SD] age, 74.7 [6.2] years) underwent complex cancer surgery at 59 top-ranked hospitals and 11 928 patients (40.8%; 6287 women and 5641 men; mean [SD] age, 76.2 [6.9] years) underwent complex cancer surgery at 343 affiliated hospitals. Overall, surgery performed at affiliated hospitals was associated with higher 90-day mortality (odds ratio, 1.40; 95% CI, 1.23-1.59; P < .001), with odds ratios that ranged from 1.32 (95% CI, 1.12-1.56; P = .001) for colectomy to 2.04 (95% CI, 1.41-2.95; P < .001) for gastrectomy. When the relative safety of each top-ranked cancer hospital was compared with its collective affiliates, the top-ranked hospital was safer than the affiliates in 41 of 49 studied networks (83.7%; 95% CI, 73.1%-93.3%). Conclusions and Relevance: The likelihood of surviving complex cancer surgery appears to be greater at top-ranked cancer hospitals compared with the affiliated hospitals that share their brand. Further investigation of performance across trusted cancer networks could enhance informed decision making for complex cancer care.

Delayed discharge does not decrease the cost of readmission after pulmonary lobectomy.

BACKGROUND: Readmission after pulmonary lobectomy has become a potentially avoidable source of excess health care costs. Initiatives that focus on expedited discharge after lobectomy may decrease costs, but a criticism of this approach is that expedited discharge may be associated with more frequent and more expensive readmissions. We explored whether patients are at greater risk for costly readmission after expedited discharge. METHODS: The Nationwide Readmission Database was queried for cases of lobectomy for lung cancer between 2010 and 2014. Patients 65 years of age and older were categorized into three groups: patients discharged between hospital day 1 and 3 (expedited), between hospital days 4 and 7 (routine), or discharge after day 8 (late). Risk-adjusted 90-day readmission rates and hospital costs for readmission were compared among groups. RESULTS: A total of 104,905 patients underwent lobectomy for lung cancer during the study period. There were 18,652 (17.8%) expedited discharges, 54,551 (52.0%) routine discharges, and 31,702 (30.2%) late discharges. Compared with the expedited group, patients in the routine discharge group had a 3.2% greater risk-adjusted readmission rate (P < .0001), and patients in the late discharge group had 12.7% greater risk-adjusted readmission rate (P < .0001). After adjustment, expedited discharge was associated with a $4,066 decrease in index hospital costs compared with routine discharge, and a $19,233 decrease compared with late discharges (both P < .0001) but was not associated with costlier readmission (routine mean -$24 ± standard error $153, P = .87; late mean +$2,528 ± standard error $178; P < .0001). CONCLUSION: Expedited discharge after lobectomy is associated with a greater risk-adjusted readmission rate and greater index hospital costs over routine and late discharge, with no increased costs for readmission. These data demonstrate that prolonged hospital duration of stay does not decrease the risk of 90-day readmission after lobectomy, providing support for protocols that expedite patient discharge and decrease overall health care utilization.

Early Assessment of Lung Cancer Immunotherapy Response via Circulating Tumor DNA.

Purpose: Decisions to continue or suspend therapy with immune checkpoint inhibitors are commonly guided by tumor dynamics seen on serial imaging. However, immunotherapy responses are uniquely challenging to interpret because tumors often shrink slowly or can appear transiently enlarged due to inflammation. We hypothesized that monitoring tumor cell death in real time by quantifying changes in circulating tumor DNA (ctDNA) levels could enable early assessment of immunotherapy efficacy.Experimental Design: We compared longitudinal changes in ctDNA levels with changes in radiographic tumor size and with survival outcomes in 28 patients with metastatic non-small cell lung cancer (NSCLC) receiving immune checkpoint inhibitor therapy. CtDNA was quantified by determining the allele fraction of cancer-associated somatic mutations in plasma using a multigene next-generation sequencing assay. We defined a ctDNA response as a >50% decrease in mutant allele fraction from baseline, with a second confirmatory measurement.Results: Strong agreement was observed between ctDNA response and radiographic response (Cohen's kappa, 0.753). Median time to initial response among patients who achieved responses in both categories was 24.5 days by ctDNA versus 72.5 days by imaging. Time on treatment was significantly longer for ctDNA responders versus nonresponders (median, 205.5 vs. 69 days; P < 0.001). A ctDNA response was associated with superior progression-free survival [hazard ratio (HR), 0.29; 95% CI, 0.09-0.89; P = 0.03], and superior overall survival (HR, 0.17; 95% CI, 0.05-0.62; P = 0.007).Conclusions: A drop in ctDNA level is an early marker of therapeutic efficacy and predicts prolonged survival in patients treated with immune checkpoint inhibitors for NSCLC. Clin Cancer Res; 24(8); 1872-80. ©2018 AACR.

Validating the Thoracic Revised Cardiac Risk Index Following Lung Resection.

BACKGROUND: The Thoracic Revised Cardiac Index (ThRCRI) is a tool that differentiates patients who may proceed to lung resection (classes A or B) from those who should receive additional cardiac evaluation (classes C or D). This study aims to describe the ability of the ThRCRI to stratify patients based on major cardiac complication rates using a large multi-institutional dataset. METHODS: Patients undergoing lobectomy or pneumonectomy were identified in the American College of Surgeons National Surgical Quality Improvement Program dataset from 2005 to 2012. Patients were grouped into 4 risk classes based on a summary score of preoperative risk factors: ischemic heart disease, cerebrovascular disease, renal comorbidity, and pneumonectomy. The primary outcome was the incidence of perioperative major cardiac complication in each of the 4 risk classes. RESULTS: Of the 4,625 patients identified, the majority underwent surgery for malignant disease (78%) and had an open procedure (70%). Among ThRCRI risk factors, 9% of patients had ischemic heart disease, 7% had cerebrovascular disease, 2% had renal comorbidity, and 6% underwent pneumonectomy. Incidence of cardiac complication in all patients was 2%. Incidence of cardiac complication within risk classes A, B, C, and D were 1%, 3%, 9%, and 4%, respectively (p < 0.01). CONCLUSIONS: Using a large multi-institutional dataset, the ThRCRI can differentiate patients at higher risk for cardiac complication following lung resection (classes C and D) and can be a useful preoperative instrument. The ThRCRI may allow for identifying patients who would benefit from additional cardiac evaluation.

Length of Stay From the Hospital Perspective: Practice of Early Discharge Is Not Associated With Increased Readmission Risk After Lung Cancer Surgery.

OBJECTIVE: To determine if hospitals that routinely discharge patients early after lobectomy have increased readmissions. BACKGROUND: Hospitals are increasingly motivated to reduce length of stay (LOS) after lung cancer surgery, yet it is unclear if a routine of early discharge is associated with increased readmissions. The relationship between hospital discharge practices and readmission rates is therefore of tremendous clinical and financial importance. METHODS: The National Cancer Database was queried for patients undergoing lobectomy for lung cancer from 2004 to 2013 at Commission on Cancer-accredited hospitals, which performed at least 25 lobectomies in a 2-year period. Facility discharge practices were characterized by a facility's median LOS relative to the median LOS for all patients in that same time period. RESULTS: In all, 59,734 patients met inclusion criteria; 2687 (4.5%) experienced an unplanned readmission. In a hierarchical logistic regression model, a routine of early discharge (defined as a facility's tendency to discharge patients faster than the population median in the same time period) was not associated with increased risk of readmission (odds ratio 1.12, 95% confidence interval 0.97-1.28, P = 0.12). In a risk-adjusted hospital readmission rate analysis, hospitals that discharged patients early did not experience more readmissions (P = 0.39). The lack of effect of early discharge practices on readmission rates was observed for both minimally invasive and thoracotomy approaches. CONCLUSIONS: It is possible for hospitals to develop early discharge practices without increasing readmissions. Further study is needed to identify the critical practice elements that have enabled hospitals to aggressively discharge patients without increasing readmission risk.

The Natural History of Operable Non-Small Cell Lung Cancer in the National Cancer Database.

BACKGROUND: The survival of untreated non-small cell lung cancer (NSCLC), or the natural history, is an important perspective for patients considering resection for NSCLC. The National Cancer Database (NCDB) allows untreated NSCLC patients who were recommended to undergo surgical resection (ie, "operable") to be identified. The survival of untreated NSCLC patients in the NCDB was studied to determine the natural history of operable NSCLC. METHODS: The NCDB was queried for untreated clinical stage I to IIIA NSCLC patients diagnosed between 2003 and 2009. The natural history cohort was defined as patients who were recommended to undergo resection but went untreated. RESULTS: We identified 1,693 untreated patients with operable NSCLC. The median survival for clinical stage I, II, and IIIA was 16.6, 9.4, and 8.4 months, respectively. The 5-year Kaplan-Meier estimates of survival for clinical stage I, II, and IIIA NSCLC were 10.1%, 7.3%, and 4.9%, respectively. At each stage (I to IIIA), the survival of untreated operable NSCLC patients was superior to that of untreated NSCLC patients not recommended to undergo resection (nonoperable, p < 0.001). A multivariable Cox regression model identified increasing age, male gender, white (vs black) race, increasing comorbidity, squamous cell or large cell histology, and increasing stage as predictors of decreased survival. CONCLUSIONS: The natural history of operable NSCLC, although poor, varies with clinical stage and is superior to that of nonoperable NSCLC.

Estimating the Annual Incremental Cost of Several Complications Following Pulmonary Lobectomy.

Determine the incremental increase in cost as well as length of hospital stay associated with several major complications following pulmonary lobectomy using a large national dataset. A retrospective cohort analysis of the 2012 National Inpatient Sample, Healthcare Cost and Utilization Project database was performed. Demographic and clinical data on patients ≥18 years having undergone an open or VATS lobectomy were included in the analysis. The median increase in cost and length of stay associated with relevant major complications were determined using a multivariable quantile regression model. Nearly one-quarter (24.9%) of hospitalizations for pulmonary lobectomy resulted in at least one complication such as air leak and acute respiratory failure, among others. The most costly complication was empyema with fistula, which was associated with a median net increase in hospital cost of $21,427 and an increased length of hospital stay of 11.6 days. Overall, however, acute respiratory failure accounted for the largest increase in aggregate national costs-$13.4 million. The most common complication was postoperative air leak, which was associated with a median net increase in cost and length of hospitalization of $3219 and 1.9 days, respectively. In aggregate, these complications accounted for nearly $40 million of annual health care expenditures. Complications following pulmonary lobectomy significantly increase in the cost and length of hospitalization. This data has the potential to help identify future areas of improvement, especially in today's era of shifting reimbursement policies aimed at cutting costs and improving health care quality.