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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; 2020.
Preprint in English | medRxiv | ID: ppzbmed-10.1101.2020.07.23.20161000

ABSTRACT

Key PointsO_ST_ABSQuestionC_ST_ABSWhat is the median time to clearance of SARS-CoV-2 among cancer patients according to currently used criteria? FindingsIn this single-institution retrospective cohort study, the median time to SARS-CoV-2 clearance was 50 days using the ASCO/CDC criteria of 2 negative RT-PCR assays >24 hours apart. Using alternative criteria of 1 negative RT-PCR assay (UK-NICE) or CDC clinical criteria (10 days after first positive RT-PCR and 3 days after last symptoms), median clearance times were 31 days and 13 days, respectively. MeaningSARS-CoV-2 clearance times differ substantially depending on criteria used and may be prolonged in cancer patients.


Subject(s)
COVID-19
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