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1.
Gayathri Nagaraj; - COVID-19 and Cancer Consortium; Shaveta Vinayak; Ali Raza Khaki; Tianyi Sun; Nicole M. Kuderer; David M. Aboulafia; Jared D. Acoba; Joy Awosika; Ziad Bakouny; Nicole B. Balmaceda; Ting Bao; Babar Bashir; Stephanie Berg; Mehmet A. Bilen; Poorva Bindal; Sibel Blau; Brianne E. Bodin; Hala T. Borno; Cecilia Castellano; Horyun Choi; John Deeken; Aakash Desai; Natasha Edwin; Lawrence E. Feldman; Daniel B. Flora; Christopher R. Friese; Matthew D. Galsky; Cyndi Gonzalez Gomez; Petros Grivas; Shilpa Gupta; Marcy Haynam; Hannah Heilman; Dawn L. Hershman; Clara Hwang; Chinmay Jani; Sachin R. Jhawar; Monika Joshi; Virginia Kaklamani; Elizabeth J. Klein; Natalie Knox; Vadim S. Koshkin; Amit A. Kulkarni; Daniel H. Kwon; Chris Labaki; Philip E. Lammers; Kate I. Lathrop; Mark A. Lewis; Xuanyi Li; Gilbert de Lima Lopes; Gary H. Lyman; Della F. Makower; Abdul-Hai Mansoor; Merry-Jennifer Markham; Sandeep H. Mashru; Rana R. McKay; Ian Messing; Vasil Mico; Rajani Nadkarni; Swathi Namburi; Ryan H. Nguyen; Taylor Kristian Nonato; Tracey Lynn O'Connor; Orestis Panagiotou; Kyu Park; Jaymin M. Patel; Kanishka GopikaBimal Patel; Jeffrey Peppercorn; Hyma Polimera; Matthew Puc; Yuan James Rao; Pedram Razavi; Sonya A. Reid; Jonathan W. Riess; Donna R. Rivera; Mark Robson; Suzanne J. Rose; Atlantis D. Russ; Lidia Schapira; Pankil K. Shah; M. Kelly Shanahan; Lauren C. Shapiro; Melissa Smits; Daniel G. Stover; Mitrianna Streckfuss; Lisa Tachiki; Michael A. Thompson; Sara M. Tolaney; Lisa B. Weissmann; Grace Wilson; Michael T. Wotman; Elizabeth M. Wulff-Burchfield; Sanjay Mishra; Benjamin French; Jeremy L. Warner; Maryam B. Lustberg; Melissa K. Accordino; Dimpy Shah.
medrxiv; 2023.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2023.03.09.23287038

ABSTRACT

Title: Clinical Characteristics, Racial Inequities, and Outcomes in Patients with Breast Cancer and COVID-19: A COVID-19 and Cancer Consortium (CCC19) Cohort Study Background: Limited information is available for patients with breast cancer (BC) and coronavirus disease 2019 (COVID-19), especially among underrepresented racial/ethnic populations. Methods: This 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. Results: 1,383 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. Conclusions: Using 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. Funding: This 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; 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 number: CCC19 registry is registered on ClinicalTrials.gov, NCT04354701.


Subject(s)
Coronavirus Infections , Diabetes Mellitus , Neoplasms , Breast Neoplasms , COVID-19
2.
medrxiv; 2022.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2022.04.19.22274047

ABSTRACT

Background: Observational studies have identified patients with cancer as a potential subgroup of individuals at elevated risk of severe SARS-CoV-2 (COVID-19) disease and mortality. Early studies showed an increased risk of COVID-19 mortality for cancer patients, but it is not well understood how this association varies by cancer site, cancer treatment, and vaccination status. Methods: Using electronic health record data from an academic medical center, we identified 259,893 individuals who were tested for or diagnosed with COVID-19 from March 10, 2020, to February 2, 2022. Of these, 41,218 tested positive for COVID-19 of whom 10,266 had a past or current cancer diagnosis. We conducted Firth-corrected, covariate-adjusted logistic regression to assess the association of cancer status, cancer type, and cancer treatment with four COVID-19 outcomes: hospitalization, intensive care unit (ICU) admission, mortality, and a composite "severe COVID-19" outcome which is the union of the first three outcomes. We examine the effect of the timing of cancer diagnosis and treatment relative to COVID diagnosis, and the effect of vaccination. Results: Cancer status was associated with higher rates of severe COVID-19 infection [OR (95% CI): 1.18 (1.08, 1.29)], hospitalization [OR (95% CI): 1.18 (1.06, 1.28)], and mortality [OR (95% CI): 1.22 (1.00, 1.48)]. These associations were driven by patients whose most recent initial cancer diagnosis was within the past three years. Chemotherapy receipt was positively associated with all four COVID-19 outcomes (e.g., severe COVID [OR (95% CI): 1.96 (1.73, 2.22)], while receipt of either radiation or surgery alone were not associated with worse COVID-19 outcomes. Among cancer types, hematologic malignancies [OR (95% CI): 1.62 (1.39, 1.88)] and lung cancer [OR (95% CI): 1.81 (1.34, 2.43)] were significantly associated with higher odds of hospitalization. Hematologic malignancies were associated with ICU admission [OR (95% CI): 1.49 (1.11, 1.97)] and mortality [OR (95% CI): 1.57 (1.15, 2.11)], while melanoma and breast cancer were not associated with worse COVID-19 outcomes. Vaccinations were found to reduce the frequency of occurrence for the four COVID-19 outcomes across cancer status but those with cancer continued to have elevated risk of severe COVID [cancer OR (95% CI) among those fully vaccinated: 1.69 (1.10, 2.62)] relative to those without cancer even among vaccinated. Conclusion: Our study provides insight to the relationship between cancer diagnosis, treatment, cancer type, vaccination, and COVID-19 outcomes. Our results indicate that it is plausible that specific diagnoses (e.g., hematologic malignancies, lung cancer) and treatments (e.g., chemotherapy) are associated with worse COVID-19 outcomes. Vaccines significantly reduce the risk of severe COVID-19 outcomes in individuals with cancer and those without, but cancer patients are still at higher risk of breakthrough infections and more severe COVID outcomes even after vaccination. These findings provide actionable insights for risk identification and targeted treatment and prevention strategies.


Subject(s)
COVID-19 , Neoplasms
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