Association of Preexisting Heart Failure With Outcomes in Older Patients With Diffuse Large B-Cell Lymphoma.

Importance: Anthracycline-containing regimens are highly effective for diffuse large B-cell lymphoma (DLBCL); however, patients with preexisting heart failure (HF) may be less likely to receive anthracyclines and may be at higher risk of lymphoma mortality. Objective: To assess the prevalence of preexisting HF in older patients with DLBCL and its association with treatment patterns and outcomes. Design, Setting, and Participants: This longitudinal cohort study used data from the Surveillance, Epidemiology, and End Results (SEER)-Medicare registry from 1999 to 2016. The SEER registry is a system of population-based cancer registries, capturing more than 25% of the US population. Linkage to Medicare offers additional information from billing claims. This study included individuals 65 years and older with newly diagnosed DLBCL from 2000 to 2015 with Medicare Part A or B continuously in the year prior to lymphoma diagnosis. Data were analyzed from September 2020 to December 2022. Exposures: Preexisting HF in the year prior to DLBCL diagnosis ascertained from billing codes required one of the following: (1) 1 primary inpatient discharge diagnosis, (2) 2 outpatient diagnoses, (3) 3 secondary inpatient discharge diagnoses, (4) 3 emergency department diagnoses, or (5) 2 secondary inpatient discharge diagnoses plus 1 outpatient diagnosis. Main Outcomes and Measures: The primary outcome was anthracycline-based treatment. The secondary outcomes were (1) cardioprotective medications and (2) cause-specific mortality. The associations between preexisting HF and cancer treatment were estimated using multivariable logistic regression. The associations between preexisting HF and cause-specific mortality were evaluated using cause-specific Cox proportional hazards models with adjustment for comorbidities and cancer treatment. Results: Of 30 728 included patients with DLBCL, 15 474 (50.4%) were female, and the mean (SD) age was 77.8 (7.2) years. Preexisting HF at lymphoma diagnosis was present in 4266 patients (13.9%). Patients with preexisting HF were less likely to be treated with an anthracycline (odds ratio, 0.55; 95% CI, 0.49-0.61). Among patients with preexisting HF who received an anthracycline, dexrazoxane or liposomal doxorubicin were used in 78 of 1119 patients (7.0%). One-year lymphoma mortality was 41.8% (95% CI, 40.5-43.2) with preexisting HF and 29.6% (95% CI, 29.0%-30.1%) without preexisting HF. Preexisting HF was associated with higher lymphoma mortality in models adjusting for baseline and time-varying treatment factors (hazard ratio, 1.24; 95% CI, 1.18-1.31). Conclusions and Relevance: In this study, preexisting HF in patients with newly diagnosed DLBCL was common and was associated with lower use of anthracyclines and lower use of any chemotherapy. Trials are needed for this high-risk population.

Development and validation of a prediction model for 1-year mortality among older adults with Hodgkin Lymphoma who receive dose-intense chemotherapy.

BACKGROUND: Older adults with Hodgkin Lymphoma (HL) have poorer outcomes than younger patients. There are little data about which baseline patient and disease factors inform prognosis among older patients. We sought to create a prediction model for 1-year mortality among older patients with new HL who received dose-intense chemotherapy. METHODS: We included adults ≥65 years old with a new diagnosis of classical HL between 2000-2013 from the Surveillance, Epidemiology, and End Results (SEER)-Medicare dataset who received full-regimen chemotherapy. Through a non-random 2:1 split, we created development and validation cohorts. Multiple imputation was used for missing data. Using stepwise selection and logistic regression, we identified predictive variables for 1-year mortality. The model was applied to the validation cohort. A final model was then fit in the full cohort. RESULTS: We included 1315 patients. In the development cohort (n = 813), we identified significant predictors of 1-year mortality including age, Charlson comorbidity index (CCI), B symptoms at diagnosis, and advanced stage at diagnosis. The c-statistic was 0.70. When this model was applied to the validation cohort (n = 502), the c-statistic was 0.65. Predictors of 1-year mortality in the final model were CCI (OR = 1.41), B symptoms (OR = 1.54), advanced stage (OR = 1.44), and older age at diagnosis (OR = 1.33). CONCLUSION: We present a prediction model for use among older adults with HL who receive intensive chemotherapy. We identify risk factors for death within 1 year of diagnosis. Future work will build upon prognostication and shared decision-making after diagnosis for this population.

First-line treatment in older patients with Hodgkin lymphoma: a Surveillance, Epidemiology, and End Results (SEER)-Medicare population-based study.

While Hodgkin lymphoma (HL) is highly curable in younger patients, older patients have higher relapse and death rates, which may reflect age-related factors, distinct disease biology and/or treatment decisions. We described the association between patient, disease and geographic factors and first-line treatment in older patients (≥65 years) with incident HL using Surveillance, Epidemiology, and End Results (SEER)-Medicare data from 1999 to 2014 (n = 2825). First-line treatment initiated at ≤4 months after diagnosis was categorised as: full chemotherapy regimen (n = 699, 24·7%); partial chemotherapy regimen (n = 1016, 36·0%); single chemotherapy agent or radiotherapy (n = 382, 13·5%); and no treatment (n = 728, 25·8%). Among the fully treated, ABVD [doxorubicin (Adriamycin), bleomycin, vinblastine, dacarbazine]/AVD was most common (n = 635, 90·8%). Adjusted multinomial logistic regression identified factors associated with treatment. Older age, Medicaid dual eligibility, not married, frailty, cardiac comorbidity, prior cancer, earlier diagnosis date, histology, advanced disease Stage, B symptoms and South region were independently associated with increased odds of not receiving full chemotherapy regimens. In conclusion, we found variability in first-line HL treatment for older patients. Treatment differences by Medicaid and region may indicate disparities. Even after adjusting for frailty and cardiac comorbidity, age was associated with treatment, suggesting factors such as end-of-life care or shared decision-making may influence treatment in older patients.

Adolescent and young adult cancer care: Financial hardship and continued uncertainty.

Since 2005, there has been a steady increase in the number of new cancer diagnoses among adolescents and young adults (AYA) in the United States (US), likely due to improved awareness and detection within this age group, as well as the possible contribution of insurance expansion under the Patient Protection and Affordable Care Act. AYAs with cancer remain highly vulnerable financially, a situation that will only worsen with proposed rollbacks in access to and affordability of healthcare. In this review, we will discuss existing aspects of financial hardship and highlight areas of uncertainty, based on the current US political climate.

Risk factors for length of stay and charge per day differ between older and younger hospitalized patients with AML.

Acute myeloid leukemia (AML) is associated with frequent hospitalizations. We evaluated factors associated with length of stay (LOS) and charge per day (CPD) for admissions in older (≥60 years) and younger patients (<60 years). We identified patients with ICD-9-CM codes for AML or myeloid sarcoma in the 2012 HCUP-NIS. In separate models based on age, we examined patient (sex, race, income, insurance payer, chronic conditions, chemotherapy administration, death) and hospital (type, geography) characteristics. Multivariable negative binomial regression estimated factor effects on LOS and CPD using rate ratios, with HCUP-NIS weights. In 43,820 discharges, LOS was longer in patients <60 than ≥60 (6.8 vs. 5.4 days). For patients <60, longer LOS was seen with more chronic conditions (RR = 1.10), Black race (RR = 1.16), chemotherapy (RR = 2.27), and geography; shorter LOS was associated with older age (RR = 0.93), Medicare (RR = 0.83), and hospital type. For patients ≥60, longer LOS associated with chronic conditions (RR = 1.07) and Asian race (RR = 1.33). Shorter LOS associated with older age (RR = 0.86), higher income (RR = 0.93), and hospital type. For patients <60, higher CPD associated with chronic conditions (RR = 1.05), death (RR = 1.93), and geography; lower CPD associated with increasing age (RR = 0.96), Medicaid (RR = 0.93), and rural hospitals (RR = 0.65). For patients ≥60, higher CPD associated with Medicare (RR = 1.05), more chronic conditions (RR = 1.02), younger age (RR = 1.1), west geography (RR = 1.37), death (RR = 1.45), and Hispanic race (RR = 1.15). We identify predictors for increased healthcare utilization in hospitalized patients with AML, which differ within age groups. Future efforts are needed to link utilization outcomes with clinical treatments and response.