Impact of COVID-19 infection on patients with Cancer: experience in a Latin American Country: The ACHOCC-19 Study

Introduction The ACHOCC-19 study was performed to characterize COVID-19 infection in a Colombian oncological population. Methodology Analytical cohort study of patients with cancer and COVID-19 infection in Colombia. From April 1 to October 31, 2020. Demographic and clinical variables related to can...

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Autores:
Ospina, Aylen Vanessa
Brugues, Ricardo
Mantilla, William
Triana, Iván
Ramos, Pedro
Aruachan, Sandra
Quiroga, Alicia
Munevar, Isabel
Ortiz, Juan
Llinás, Néstor
Pinilla, Paola
Vargas, Henry
Idrobo, Henry
Russi, Andrea
Manneh Kopp, Ray
Rivas, Giovanna
González, Héctor
Santa, Daniel
Insuasty, Jesús
Bernal, Laura
Otero, Jorge
Vargas, Carlos
Pacheco, Javier
Alcalá, Carmen
Jiménez, Paola
Lombana, Milton
Contreras, Fernando
Segovia, Javier
Pino, Luis
Lobatón, José
González, Manuel
Cuello, Javier
Bogoya, Juliana
Barrero, Angela
de Lima Lopes Jr, Gilberto
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Universidad El Bosque
Repositorio:
Repositorio U. El Bosque
Idioma:
spa
OAI Identifier:
oai:repositorio.unbosque.edu.co:20.500.12495/6845
Acceso en línea:
http://hdl.handle.net/20.500.12495/6845
https://doi.org/10.1002/onco.13861
Palabra clave:
COVID-19
Cancer
Survival Mortality
Latin American country Colombia
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Description
Summary:Introduction The ACHOCC-19 study was performed to characterize COVID-19 infection in a Colombian oncological population. Methodology Analytical cohort study of patients with cancer and COVID-19 infection in Colombia. From April 1 to October 31, 2020. Demographic and clinical variables related to cancer and COVID-19 infection were collected. The primary outcome was 30-day mortality from all causes. The association between the outcome and the prognostic variables was analyzed using logistic regression models and survival analysis with Cox regression. Results The study included 742 patients; 72% were >51 years. The most prevalent neoplasms were breast (132, 17.77%), colorectal (92, 12.34%), and prostate (81, 10.9%). Two hundred twenty (29.6%) patients were asymptomatic and 96 (26.3%) died. In the bivariate descriptive analysis, higher mortality occurred in patients who were >70 years, patients with lung cancer, ≥2 comorbidities, former smokers, receiving antibiotics, corticosteroids, and anticoagulants, residents of rural areas, low socioeconomic status, and increased acute-phase reactants. In the logistic regression analysis, higher mortality was associated with Eastern Cooperative Oncology Group performance status (ECOG PS) 3 (odds ratio [OR] 28.67; 95% confidence interval [CI], 8.2–99.6); ECOG PS 4 (OR 20.89; 95% CI, 3.36–129.7); two complications from COVID-19 (OR 5.3; 95% CI, 1.50–18.1); and cancer in progression (OR 2.08; 95% CI, 1.01–4.27). In the Cox regression analysis, the statistically significant hazard ratios (HR) were metastatic disease (HR 1.58; 95% CI, 1.16–2.16), cancer in progression (HR 1.08; 95% CI, 1.24–2.61) cancer in partial response (HR 0.31; 95% CI, 0.11–0.88), use of steroids (HR 1.44; 95% CI, 1.01–2.06), and use of antibiotics (HR 2.11; 95% CI, 1.47–2.95). Conclusion In our study, patients with cancer have higher mortality due to COVID-19 infection if they have active cancer, metastatic or progressive cancer, ECOG PS >2, and low socioeconomic status. Implications for Practice This study's findings raise the need to carefully evaluate patients with metastatic cancer, in progression, and with impaired Eastern Cooperative Oncology Group status to define the relevance of cancer treatment during the pandemic, consider the risk/benefit of the interventions, and establish clear and complete communication with the patients and their families about the risk of complications. There is also the importance of offering additional support to patients with low income and residence in rural areas so that they can have more support during cancer treatment.