Search

BackgroundLimited information is available for patients with breast cancer (BC) and coronavirus disease 2019 (COVID-19), especially among underrepresented racial/ethnic populations.MethodsThis is a COVID-19 and Cancer Consortium (CCC19) registry-based retrospective cohort study of females with active or history of BC and laboratory-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection diagnosed between March 2020 and June 2021 in the US. Primary outcome was COVID-19 severity measured on a five-level ordinal scale, including none of the following complications, hospitalization, intensive care unit admission, mechanical ventilation, and all-cause mortality. Multivariable ordinal logistic regression model identified characteristics associated with COVID-19 severity.Results1383 female patient records with BC and COVID-19 were included in the analysis, the median age was 61 years, and median follow-up was 90 days. Multivariable analysis revealed higher odds of COVID-19 severity for older age (aOR per decade, 1.48 [95% CI, 1.32-1.67]); Black patients (aOR 1.74; 95 CI 1.24-2.45), Asian Americans and Pacific Islander patients (aOR 3.40; 95 CI 1.70-6.79) and Other (aOR 2.97; 95 CI 1.71-5.17) racial/ethnic groups; worse ECOG performance status (ECOG PS ≥2: aOR, 7.78 [95% CI, 4.83-12.5]); pre-existing cardiovascular (aOR, 2.26 [95% CI, 1.63-3.15])/pulmonary comorbidities (aOR, 1.65 [95% CI, 1.20-2.29]); diabetes mellitus (aOR, 2.25 [95% CI, 1.66-3.04]); and active and progressing cancer (aOR, 12.5 [95% CI, 6.89-22.6]). Hispanic ethnicity, timing, and type of anti-cancer therapy modalities were not significantly associated with worse COVID-19 outcomes. The total all-cause mortality and hospitalization rate for the entire cohort was 9% and 37%, respectively however, it varied according to the BC disease status.ConclusionsUsing one of the largest registries on cancer and COVID-19, we identified patient and BC-related factors associated with worse COVID-19 outcomes. After adjusting for baseline characteristics, underrepresented racial/ethnic patients experienced worse outcomes compared to non-Hispanic White patients.FundingThis study was partly supported by National Cancer Institute grant number P30 CA068485 to Tianyi Sun, Sanjay Mishra, Benjamin French, Jeremy L Warner; P30-CA046592 to Christopher R Friese; P30 CA023100 for Rana R McKay; P30-CA054174 for Pankil K Shah and Dimpy P Shah; KL2 TR002646 for Pankil Shah and the American Cancer Society and Hope Foundation for Cancer Research (MRSG-16-152-01-CCE) and P30-CA054174 for Dimpy P Shah. REDCap is developed and supported by Vanderbilt Institute for Clinical and Translational Research grant support (UL1 TR000445 from NCATS/NIH). The funding sources had no role in the writing of the manuscript or the decision to submit it for publication.Clinical trial numberCCC19 registry is registered on ClinicalTrials.gov, NCT04354701.

Background Sedative-hypnotic medications are used to treat chemotherapy-related nausea, anxiety, and insomnia. However, prolonged sedative-hypnotic use can lead to dependence, misuse, and increased health-care use. We aimed to estimate the rates at which patients who receive adjuvant chemotherapy for breast cancer become new persistent users of sedative-hypnotic medications, specifically benzodiazepines and nonbenzodiazepine sedative-hypnotics (Z-drugs). Methods Using the MarketScan health-care claims database, we identified sedative-hypnotic–naïve patients who received adjuvant chemotherapy for breast cancer. Patients who filled 1 and more prescriptions during chemotherapy and 2 and more prescriptions up to 1 year after chemotherapy were classified as new persistent users. Univariate and multivariable logistic regression analyses were used to estimate odds of new persistent use and associated characteristics. Results We identified 22 039 benzodiazepine-naïve patients and 23 816 Z-drug–naïve patients who received adjuvant chemotherapy from 2008 to 2017. Among benzodiazepine-naïve patients, 6159 (27.9%) filled 1 and more benzodiazepine prescriptions during chemotherapy, and 963 of those (15.6%) went on to become new persistent users. Among Z-drug–naïve patients, 1769 (7.4%) filled 1 and more prescriptions during chemotherapy, and 483 (27.3%) became new persistent users. In both groups, shorter durations of chemotherapy and receipt of opioid prescriptions were associated with new persistent use. Medicaid insurance was associated with new persistent benzodiazepine use (odds ratio = 1.88, 95% confidence interval = 1.43 to 2.47) compared with commercial or Medicare insurance. Conclusions Patients who receive sedative-hypnotic medications during adjuvant chemotherapy for breast cancer are at risk of becoming new persistent users of these medications after chemotherapy. Providers should ensure appropriate sedative-hypnotic use through tapering dosages and encouraging nonpharmacologic strategies when appropriate. [ABSTRACT FROM AUTHOR]

Background: Cardiovascular disease (CVD) is the leading cause of death among patients with early-stage breast cancer (BC), but adherence to cardiovascular disease risk factor (CVD-RF) medications is reported to be poor in BC survivors. The objective of the current study was to determine the association between nonadherence to CVD-RF medications and cardiovascular events in BC survivors.Methods: The authors included patients with stages I to III BC from the Surveillance, Epidemiology, and End Results (SEER)-Medicare database who had Medicare part D coverage and who were taking at least 1 CVD-RF medication prior to their BC diagnosis (2008-2013). Logistic regression was performed to define factors associated with nonadherence. Cox regression was used to calculate the association between nonadherence and new cardiac events after treatment.Results: Among 15,576 patients included in the current analysis, 4797 (30.8%) were nonadherent to at least 1 category after the initial BC treatment period. Black race, greater comorbidity burden, more advanced cancer stage, hormone receptor-negative status, and receipt of chemotherapy were found to be associated with nonadherence. Nonadherence after treatment demonstrated a trend toward an increased risk of a subsequent cardiac event (hazard ratio [HR], 1.15; 95% CI 1.00-1.33 [P = .06]). This effect size increased with nonadherence to a greater number of medications (P < .01). There was an increased risk of experiencing a cardiac event noted with becoming nonadherent to hypertension medications (HR, 1.33; 95% CI, 1.18-1.51 [P < .0001]), hyperlipidemia medications (HR, 1.21; 95% CI, 1.05-1.40 [P = .009]), and diabetes medications (HR, 1.31; 95% CI, 1.10-1.56 [P = .003]).Conclusions: Nonadherence to CVD-RF medications after treatment of BC is associated with an increased risk of a cardiac event. Improving outcomes and reducing morbidity after a diagnosis of BC requires attention to non-BC conditions. [ABSTRACT FROM AUTHOR]

Purpose: Multidisciplinary care (MDC) encourages multiple specialists to formulate a unified treatment plan. We sought to determine the frequency and predictors of MDC and assess the association between MDC and nationally-recognized quality metrics in patients with breast cancer. Methods: We used the surveillance, epidemiology, and end results-medicare dataset to evaluate patients diagnosed with stages I-III breast cancer who underwent breast-conserving surgery between 2002 and 2011 with follow-up to 2012. We defined MDC as a visit claim from a surgeon, radiation oncologist and medical oncologist within 12 months of diagnosis. We used multivariable regression analysis to determine the association between demographic and clinical variables and MDC, and to assess the association between MDC and three nationally-recognized quality indicators (adjuvant hormone therapy for hormone receptor-positive tumors, chemotherapy for hormone receptor-negative cancer, and radiation after lumpectomy). Results: Of the 61,039 patients in our initial cohort, 53,849 (88.2%) saw a medical oncologist, 46,521 (76.2%) saw a radiation oncologist, and 43,280 (70.9%) were evaluated by all three providers the first year after diagnosis. MDC use was higher in patients with the highest socioeconomic status compared with the lowest [odds ratio (OR) 1.74, 95% CI 1.63-1.86], in patients diagnosed in later years, and those with stage III disease compared to stage I [OR 1.29, 95% CI 1.19-1.41]. Patients older in age (≥80 vs. 65-69 years, OR 0.33, 95% CI 0.31-0.34), patients with more comorbidities, those who lived in a rural setting compared to urban (OR 0.61, 95% CI 0.57-0.64), and unmarried patients (OR 0.79, 95% CI 0.76-0.82) were less likely to see all three providers. In a multivariable analysis, MDC use was associated with increased likelihood of meeting each quality metric. Conclusion: Early stage breast cancer patients were evaluated by a surgeon, radiation oncologist and medical oncologist less than 75% of the time. Enhanced coordination of care and navigation programs may improve the quality of care delivered. [ABSTRACT FROM AUTHOR]