4 results on '"Nguyen, Ryan H"'
Search Results
2. Clinical characteristics, racial inequities, and outcomes in patients with breast cancer and COVID-19: A COVID-19 and cancer consortium (CCC19) cohort study.
- Author
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Nagaraj G, Vinayak S, Khaki AR, Sun T, Kuderer NM, Aboulafia DM, Acoba JD, Awosika J, Bakouny Z, Balmaceda NB, Bao T, Bashir B, Berg S, Bilen MA, Bindal P, Blau S, Bodin BE, Borno HT, Castellano C, Choi H, Deeken J, Desai A, Edwin N, Feldman LE, Flora DB, Friese CR, Galsky MD, Gonzalez CJ, Grivas P, Gupta S, Haynam M, Heilman H, Hershman DL, Hwang C, Jani C, Jhawar SR, Joshi M, Kaklamani V, Klein EJ, Knox N, Koshkin VS, Kulkarni AA, Kwon DH, Labaki C, Lammers PE, Lathrop KI, Lewis MA, Li X, Lopes GL, Lyman GH, Makower DF, Mansoor AH, Markham MJ, Mashru SH, McKay RR, Messing I, Mico V, Nadkarni R, Namburi S, Nguyen RH, Nonato TK, O'Connor TL, Panagiotou OA, Park K, Patel JM, Patel KG, Peppercorn J, Polimera H, Puc M, Rao YJ, Razavi P, Reid SA, Riess JW, Rivera DR, Robson M, Rose SJ, Russ AD, Schapira L, Shah PK, Shanahan MK, Shapiro LC, Smits M, Stover DG, Streckfuss M, Tachiki L, Thompson MA, Tolaney SM, Weissmann LB, Wilson G, Wotman MT, Wulff-Burchfield EM, Mishra S, French B, Warner JL, Lustberg MB, Accordino MK, and Shah DP
- Subjects
- United States epidemiology, Humans, Female, Middle Aged, SARS-CoV-2, Cohort Studies, Retrospective Studies, COVID-19, Breast Neoplasms epidemiology
- Abstract
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., Competing Interests: GN, SV, AK, TS, NK, DA, JA, JA, ZB, NB, TB, BB, SB, MB, PB, SB, BB, HB, CC, HC, JD, AD, NE, LF, DF, CF, MG, CG, PG, SG, MH, HH, DH, CH, CJ, SJ, MJ, VK, EK, NK, VK, AK, DK, CL, PL, KL, ML, XL, GL, GL, DM, AM, MM, SM, RM, IM, VM, RN, SN, RN, TN, TO, OP, KP, JP, KP, JP, HP, MP, YR, PR, SR, JR, DR, MR, SR, AR, LS, PS, MS, LS, MS, DS, MS, LT, MT, ST, LW, GW, MW, EW, SM, BF, JW, ML, MA, DS No competing interests declared
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- 2023
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3. Assessment of Regional Variability in COVID-19 Outcomes Among Patients With Cancer in the United States.
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Hawley JE, Sun T, Chism DD, Duma N, Fu JC, Gatson NTN, Mishra S, Nguyen RH, Reid SA, Serrano OK, Singh SRK, Venepalli NK, Bakouny Z, Bashir B, Bilen MA, Caimi PF, Choueiri TK, Dawsey SJ, Fecher LA, Flora DB, Friese CR, Glover MJ, Gonzalez CJ, Goyal S, Halfdanarson TR, Hershman DL, Khan H, Labaki C, Lewis MA, McKay RR, Messing I, Pennell NA, Puc M, Ravindranathan D, Rhodes TD, Rivera AV, Roller J, Schwartz GK, Shah SA, Shaya JA, Streckfuss M, Thompson MA, Wulff-Burchfield EM, Xie Z, Yu PP, Warner JL, Shah DP, French B, and Hwang C
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- Aged, Cause of Death, Censuses, Female, Health Facilities, Humans, Intensive Care Units, Male, Middle Aged, Odds Ratio, Registries, Respiration, Artificial, Retrospective Studies, Risk Factors, SARS-CoV-2, Severity of Illness Index, Spatial Analysis, United States epidemiology, COVID-19 epidemiology, Neoplasms epidemiology, Pandemics, Rural Population, Social Vulnerability, Urban Population
- Abstract
Importance: The COVID-19 pandemic has had a distinct spatiotemporal pattern in the United States. Patients with cancer are at higher risk of severe complications from COVID-19, but it is not well known whether COVID-19 outcomes in this patient population were associated with geography., Objective: To quantify spatiotemporal variation in COVID-19 outcomes among patients with cancer., Design, Setting, and Participants: This registry-based retrospective cohort study included patients with a historical diagnosis of invasive malignant neoplasm and laboratory-confirmed SARS-CoV-2 infection between March and November 2020. Data were collected from cancer care delivery centers in the United States., Exposures: Patient residence was categorized into 9 US census divisions. Cancer center characteristics included academic or community classification, rural-urban continuum code (RUCC), and social vulnerability index., Main Outcomes and Measures: The primary outcome was 30-day all-cause mortality. The secondary composite outcome consisted of receipt of mechanical ventilation, intensive care unit admission, and all-cause death. Multilevel mixed-effects models estimated associations of center-level and census division-level exposures with outcomes after adjustment for patient-level risk factors and quantified variation in adjusted outcomes across centers, census divisions, and calendar time., Results: Data for 4749 patients (median [IQR] age, 66 [56-76] years; 2439 [51.4%] female individuals, 1079 [22.7%] non-Hispanic Black individuals, and 690 [14.5%] Hispanic individuals) were reported from 83 centers in the Northeast (1564 patients [32.9%]), Midwest (1638 [34.5%]), South (894 [18.8%]), and West (653 [13.8%]). After adjustment for patient characteristics, including month of COVID-19 diagnosis, estimated 30-day mortality rates ranged from 5.2% to 26.6% across centers. Patients from centers located in metropolitan areas with population less than 250 000 (RUCC 3) had lower odds of 30-day mortality compared with patients from centers in metropolitan areas with population at least 1 million (RUCC 1) (adjusted odds ratio [aOR], 0.31; 95% CI, 0.11-0.84). The type of center was not significantly associated with primary or secondary outcomes. There were no statistically significant differences in outcome rates across the 9 census divisions, but adjusted mortality rates significantly improved over time (eg, September to November vs March to May: aOR, 0.32; 95% CI, 0.17-0.58)., Conclusions and Relevance: In this registry-based cohort study, significant differences in COVID-19 outcomes across US census divisions were not observed. However, substantial heterogeneity in COVID-19 outcomes across cancer care delivery centers was found. Attention to implementing standardized guidelines for the care of patients with cancer and COVID-19 could improve outcomes for these vulnerable patients.
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- 2022
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4. Clinical characteristics, racial inequities, and outcomes in patients with breast cancer and COVID-19: A COVID-19 and cancer consortium (CCC19) cohort study
- Author
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Nagaraj, Gayathri, Vinayak, Shaveta, Khaki, Ali Raza, Sun, Tianyi, Kuderer, Nicole M, Aboulafia, David M, Acoba, Jared D, Awosika, Joy, Bakouny, Ziad, Balmaceda, Nicole B, Bao, Ting, Bashir, Babar, Berg, Stephanie, Bilen, Mehmet A, Bindal, Poorva, Blau, Sibel, Bodin, Brianne E, Borno, Hala T, Castellano, Cecilia, Choi, Horyun, Deeken, John, Desai, Aakash, Edwin, Natasha, Feldman, Lawrence E, Flora, Daniel B, Friese, Christopher R, Galsky, Matthew D, Gonzalez, Cyndi J, Grivas, Petros, Gupta, Shilpa, Haynam, Marcy, Heilman, Hannah, Hershman, Dawn L, Hwang, Clara, Jani, Chinmay, Jhawar, Sachin R, Joshi, Monika, Kaklamani, Virginia, Klein, Elizabeth J, Knox, Natalie, Koshkin, Vadim S, Kulkarni, Amit A, Kwon, Daniel H, Labaki, Chris, Lammers, Philip E, Lathrop, Kate I, Lewis, Mark A, Li, Xuanyi, de Lima Lopes, Gilbert, Lyman, Gary H, Makower, Della F, Mansoor, Abdul-Hai, Markham, Merry-Jennifer, Mashru, Sandeep H, McKay, Rana R, Messing, Ian, Mico, Vasil, Nadkarni, Rajani, Namburi, Swathi, Nguyen, Ryan H, Nonato, Taylor Kristian, O'Connor, Tracey Lynn, Panagiotou, Orestis A, Park, Kyu, Patel, Jaymin M, Patel, Kanishka GopikaBimal, Peppercorn, Jeffrey, Polimera, Hyma, Puc, Matthew, Rao, Yuan James, Razavi, Pedram, Reid, Sonya A, Riess, Jonathan W, Rivera, Donna R, Robson, Mark, Rose, Suzanne J, Russ, Atlantis D, Schapira, Lidia, Shah, Pankil K, Shanahan, M Kelly, Shapiro, Lauren C, Smits, Melissa, Stover, Daniel G, Streckfuss, Mitrianna, Tachiki, Lisa, Thompson, Michael A, Tolaney, Sara M, Weissmann, Lisa B, Wilson, Grace, Wotman, Michael T, Wulff-Burchfield, Elizabeth M, Mishra, Sanjay, French, Benjamin, Warner, Jeremy L, Lustberg, Maryam B, Accordino, Melissa K, and Shah, Dimpy P
- Subjects
Biomedical and Clinical Sciences ,Clinical Sciences ,Clinical Research ,Coronaviruses ,Infectious Diseases ,Cancer ,Emerging Infectious Diseases ,Breast Cancer ,Lung ,Women's Health ,Good Health and Well Being ,United States ,Humans ,Female ,Middle Aged ,COVID-19 ,SARS-CoV-2 ,Cohort Studies ,Breast Neoplasms ,Retrospective Studies ,COVID-19 and Cancer Consortium ,breast cancer ,epidemiology ,global health ,human ,oncology ,pandemic ,racial inequities ,Biochemistry and Cell Biology ,Biological sciences ,Biomedical and clinical sciences ,Health sciences - Abstract
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.
- Published
- 2023
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