Rural-urban disparities and trends in utilization of palliative care services among US patients with metastatic breast cancer.

PURPOSE: To assess trends and rural-urban disparities in palliative care utilization among patients with metastatic breast cancer. METHODS: We analyzed data from the 2004-2019 National Cancer Database. Palliative care services, including surgery, radiotherapy, systemic therapy, and/or other pain management, were provided to control pain or alleviate symptoms; utilization was dichotomized as "yes/no." Rural-urban residence, defined by the US Department of Agriculture Economic Research Service's Rural-Urban Continuum Codes, was categorized as "rural/urban/metropolitan." Multivariable logistic regression was used to examine rural-urban differences in palliative care use. Adjusted odds ratios (AORs) and 95% confidence intervals (CIs) were calculated. FINDINGS: Of 133,500 patients (mean age 62.4 [SD = 14.2] years), 86.7%, 11.7%, and 1.6% resided in metropolitan, urban, and rural areas, respectively; 72.5% were White, 17.0% Black, 5.8% Hispanic, and 2.7% Asian. Overall, 20.3% used palliative care, with a significant increase from 15.6% in 2004-2005 to 24.5% in 2008-2019 (7.0% increase per year; p-value for trend <0.001). In urban areas, 23.3% received palliative care, compared to 21.0% in rural and 19.9% in metropolitan areas (p < 0.001). After covariate adjustment, patients residing in rural (AOR = 0.84; 95% CI: 0.73-0.98) or metropolitan (AOR = 0.85, 95% CI: 0.80-0.89) areas had lower odds of having used palliative care than those in urban areas. CONCLUSIONS: In this national, racially diverse sample of patients with metastatic breast cancer, the utilization of palliative care services increased over time, though remained suboptimal. Further, our findings highlight rural-urban disparities in palliative care use and suggest the potential need to promote these services while addressing geographic access inequities for this patient population.

Rates and Risk Factors for 30-Day Morbidity After One-Stage Vertical Banded Gastroplasty Conversions: A Retrospective Analysis.

Background: The vertical banded gastroplasty (VBG) is a historic restrictive bariatric operation often requiring further surgery. In this investigation utilizing the 2021 Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) national dataset, we aim to better define the outcomes of VBG conversions.Methods: We queried the 2021 MBSAQIP dataset for patients who underwent a conversion from a VBG to Roux-en-Y gastric bypass (RYGB) or sleeve gastrectomy (SG). Demographics, comorbidities, laboratory values, and additional patient factors were examined. Rates of key consequential outcome measures 30-day readmission, reoperation, reintervention, mortality, and a composite endpoint (at least 1 of the 4) were further calculated.Results: We identified 231 patients who underwent conversion from VBG to SG (n = 23), RYGB (n = 208), or other anatomy (n = 6), of which 93% of patients were female, and 22% of non-white race. The median age was 56 years and body-mass index (BMI) was 43 kg/m2. The most common surgical indications included weight considerations (48%), reflux (25%), anatomic causes (eg, stricture, fistula, and ulcer; 10%), and dysphagia (6.5%). Thirty-day morbidity rates included reoperation (7.8%), readmission (9.1%), reintervention (4.3%), mortality (.4%), and the composite endpoint (15%). Upon bivariate analysis, we did not identify any specific risk factor for the 30-day composite endpoint.Discussion: One-stage VBG conversions to traditional bariatric anatomy are beset with higher 30-day morbidity relative to primary procedures. Additional MBSAQIP data will be required for aggregation, to better characterize the risk factors inherent in these operations.

Prediction of 30-Day Morbidity and Mortality After Conversion of Sleeve Gastrectomy to Roux-en-Y Gastric Bypass: Use of an Artificial Neural Network.

BACKGROUND: Conversion of sleeve gastrectomy to Roux-en-Y gastric bypass is indicated primarily for unsatisfactory weight loss or gastroesophageal reflux disease (GERD). This study aimed to use a comprehensive database to define predictors of 30-day reoperation, readmission, reintervention, or mortality. An artificial neural network (ANN) was employed to optimize prediction of the composite endpoint (occurrence of 1+ morbid event). METHODS: Areview of 8895 patients who underwent conversion for weight-related or GERD-related indications was performed using the 2021 MBSAQIP national dataset. Demographics, comorbidities, laboratory values, and other factors were assessed for bivariate and subsequent multivariable associations with the composite endpoint (P ≤ .05). Factors considered in the multivariable model were imputed into a three-node ANN with 20% randomly withheld for internal validation, to optimize predictive accuracy. Models were compared using receiver operating characteristic (ROC) curve analysis. RESULTS: 39% underwent conversion for weight considerations and 61% for GERD. Rates of 30-day reoperation, readmission, reintervention, mortality, and the composite endpoint were 3.0%, 7.1%, 2.1%, .1%, and 9.1%, respectively. Of the nine factors associated with the composite endpoint on bivariate analysis, only non-white race (P < .001; odds ratio 1.4), lower body-mass index (P < .001; odds ratio .22), and therapeutic anticoagulation (P = .001; odds ratio 2.0) remained significant upon multivariable analysis. Areas under ROC curves for the multivariable regression, ANN training, and validation sets were .587, .601, and .604, respectively. DISCUSSION: Identification of risk factors for morbidity after conversion offers critical information to improve patient selection and manage postoperative expectations. ANN models, with appropriate clinical integration, may optimize prediction of morbidity.

Novel Sequence of Endoscopic Therapy for the Management of Colonic Adenocarcinoma and Surrounding Adenoma.

An 80-year-old man with a history of an orthotopic heart transplant was found to have a 25 × 40 mm centrally ulcerated mass at the hepatic flexure during evaluation of anemia. Owing to comorbidities, the patient was deemed to be a poor surgical candidate and was referred to the advanced endoscopy team to explore palliative and potentially curative options. We present a novel sequence of intervention involving full-thickness resection with subsequent morcellation clean-up to achieve complete endoscopic removal of a neoplastic lesion.

Impact of Insurance Status on Late-Stage Disease Presentation and Disease-Specific Survival among US Patients With Gastric Cancer.

Purpose: The impact of insurance status on cause-specific survival and late-stage disease presentation among US patients with gastric cancer (GC) has been less well-defined. Materials and Methods: A retrospective study analyzed the 2007-2016 Surveillance Epidemiology and End Results. GC events were defined as GC-specific deaths; patients without the event were censored at the time of death from other causes or last known follow-up. Late-stage disease was stage III-IV. Insurance status was categorized as "uninsured/Medicaid/private." Five-year survival rates were compared using log-rank tests. Cox regression was used to assess the association between insurance status and GC-specific survival. Logistic regression was used to examine the relationship of insurance status and late-stage disease presentation. Results: Of 5,529 patients, 78.1% were aged ≥50 years; 54.2% were White, 19.4% Hispanic, and 14.0% Black; 73.4% had private insurance, 19.5% Medicaid, and 7.1% uninsured. The 5-year survival was higher for the privately insured (33.9%) than those on Medicaid (24.8%) or uninsured (19.2%) (p<0.001). Patients with Medicaid (adjusted hazard ratio [aHR] 1.22, 95%CI: 1.11-1.33) or uninsured (aHR 1.43, 95%CI: 1.25-1.63) had worse survival than those privately insured. The odds of late-stage disease presentation were higher in the uninsured (adjusted odds ratio [aOR] 1.61, 95%CI: 1.25-2.08) or Medicaid (aOR 1.32, 95%CI: 1.12-1.55) group than those with private insurance. Hispanic patients had greater odds of late-stage disease presentation (aOR 1.35, 95%CI: 1.09-1.66) than Black patients. Conclusions: Findings highlight the need for policy interventions addressing insurance coverage among GC patients and inform screening strategies for populations at risk of late-stage disease.