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Puc, Matthew M

0000-0002-9281-2262

Mayo Clinic

Virtua Health, Marlton, United States.

Citations 2

Clinical characteristics, racial inequities, and outcomes in patients with breast cancer and COVID-19: A COVID-19 and cancer consortium (CCC19) cohort study
Nagaraj, Gayathri , Vinayak, Shaveta , Sun, Tianyi , Kuderer, Nicole M. , Bakouny, Ziad , Balmaceda, Nicole , Bilen, Mehmet Asım , Bindal, Poorva , Blau, Sibel , Bodin, Brianne E, Borno, Hala T. , Castellano, Cecilia A. , Choi, Horyun, Deeken, John F. , Desai, Aakash , Edwin, Natasha, Feldman, Lawrence , Flora, Daniel , Galsky, Matthew D. , Gonzalez, Cyndi J, Grivas, Petros , Gupta, Shilpa , Haynam, Marcy , Heilman, Hannah, Jani, Chinmay , Jhawar, Sachin R, Kaklamani, Virginia , Klein, Elizabeth J. , Koshkin, Vadim S. , Kulkarni, Amit , Kwon, Daniel H. , Lammers, Philip E. , Lathrop, Kate, Lewis, Mark A. , Li, Xuanyi , Lopes, Gilbert de Lima, Makower, Della , Mansoor, Abdul-Hai, Mashru, Sandeep H., McKay, Rana R. , Messing, Ian , Mico, Vasil, Nadkarni, Rajani, Namburi, Swathi, Nguyen, Ryan H, Nonato, Taylor K., O’Connor, Tracey L. , Park, Kyu, Patel, Jaymin , Patel, Kanishka G. , Peppercorn, Jeffrey , Polimera, Hyma , Puc, Matthew , Rao, Yuan James , Reid, Sonya , Riess, Jonathan W. , Rivera, Donna R. , Rose, Suzanne J. , Russ, Atlantis Dawn, Schapira, Lidia , Shah, Pankil , Shanahan, M Kelly, Smits, Melissa, Streckfuss, Mitrianna, Thompson, Michael A, Tolaney, Sara M. , Weissmann, Lisa B., Wilson, Grace, Wulff‐Burchfield, Elizabeth , French, Benjamin , Lustberg, Maryam B. , Accordino, Melissa , Sun, Tianyi , Hwang, Clara , Puc, Matthew M , Mishra, Sanjay , Accordino, Melissa K , Desai, Aakash P , Bakouny, Ziad , Bilen, Mehmet A , Lustberg, Maryam , Khaki, Ali Raza , Aboulafia, David M. , Acoba, Jared David , Awosika, Joy A. , Bao, Ting , Bashir, Babar , Berg, Stephanie , Friese, Christopher R. , Hershman, Dawn L. , Hwang, Clara , Jhawar, Sachin R, Joshi, Monika , Knox, Natalie, Labaki, Chris , Lyman, Gary H , Markham, Merry Jennifer , Nguyen, Ryan H, Panagiotou, Orestis A. , Razavi, Pedram , Robson, Mark E. , Shapiro, Lauren C. , Stover, Daniel G. , Tachiki, Lisa , Wotman, Michael T. , Mishra, Sanjay , Warner, Jeremy L. , Shah, Dimpy P.

eLife | October 17, 2023 | Volume: 12 | Issue: No issue available | Pages: No page available

10.7554/elife.82618 Get It

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: 1383 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; 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 number: CCC19 registry is registered on ClinicalTrials.gov, NCT04354701 .
Utilization of COVID-19 Treatments and Clinical Outcomes among Patients with Cancer: A COVID-19 and Cancer Consortium (CCC19) Cohort Study
Rivera, Donna R. , Peters, Solange , Shah, Dimpy P. , Kuderer, Nicole M. , Hsu, Chih–Yuan , Rubinstein, Samuel M. , Lee, Brendan J., Choueiri, Toni K. , Lopes, Gilberto , Grivas, Petros , Arcobello, Jonathan , Bakouny, Ziad , Doroshow, Deborah B. , Egan, Pamela , Fecher, Leslie A. , Friese, Christopher R. , Galsky, Matthew D. , Gupta, Shilpa , Hálfdánarson, Þorvarður R. , Halmos, Balázs , Khaki, Ali Raza , Lemmon, Christopher A. , Mishra, Sanjay , Puc, Matthew , Revankar, Sanjay G. , Schapira, Lidia , Schmidt, Andrew , Shah, Sumit , Wu, Julie , Xie, Zhuoer , Yeh, Albert C. , Zhu, Huili , Shyr, Yu , Grivas, Petros , Bakouny, Ziad , Galsky, Matthew D , Goel, Sanjay , Halfdanarson, Thorvardur R , Hawley, Jessica E , Mishra, Sanjay , Pennell, Nathan A , Puc, Matthew M , Revankar, Sanjay G , Wu, Julie T , Yeh, Albert C , Warner, Jeremy L , Peters, Solange , Choueiri, Toni K , Xie, Zhuoer , Khaki, Ali Raza , Panagiotou, Orestis A. , Painter, Corrie , Rini, Brian I. , Thompson, Michael A. , Farmakiotis, Dimitrios , Goel, Sanjay , Hawley, Jessica E. , Olszewski, Adam J. , Schwartz, Gary K. , Lyman, Gary H , Warner, Jeremy L.

Cancer Discovery | July 22, 2020 | Volume: 10 | Issue: 10 | Pages: 1514-1527

10.1158/2159-8290.cd-20-0941 Get It

Abstract Among 2,186 U.S. adults with invasive cancer and laboratory-confirmed SARS-CoV-2 infection, we examined the association of COVID-19 treatments with 30-day all-cause mortality and factors associated with treatment. Logistic regression with multiple adjustments (e.g., comorbidities, cancer status, baseline COVID-19 severity) was performed. Hydroxychloroquine with any other drug was associated with increased mortality versus treatment with any COVID-19 treatment other than hydroxychloroquine or untreated controls; this association was not present with hydroxychloroquine alone. Remdesivir had numerically reduced mortality versus untreated controls that did not reach statistical significance. Baseline COVID-19 severity was strongly associated with receipt of any treatment. Black patients were approximately half as likely to receive remdesivir as white patients. Although observational studies can be limited by potential unmeasured confounding, our findings add to the emerging understanding of patterns of care for patients with cancer and COVID-19 and support evaluation of emerging treatments through inclusive prospective controlled trials. Significance: Evaluating the potential role of COVID-19 treatments in patients with cancer in a large observational study, there was no statistically significant 30-day all-cause mortality benefit with hydroxychloroquine or high-dose corticosteroids alone or in combination; remdesivir showed potential benefit. Treatment receipt reflects clinical decision-making and suggests disparities in medication access. This article is highlighted in the In This Issue feature, p. 1426