Author: Ospina, Aylen Vanessa; Bruges, 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; Kopp, Ray Manneh; 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, Gilberto
Title: Impact of COVIDâ€19 Infection on Patients with Cancer: Experience in a Latin American Country: The ACHOCCâ€19 Study Cord-id: xa4dq8pw Document date: 2021_7_1
ID: xa4dq8pw
Snippet: INTRODUCTION: The ACHOCCâ€19 study was performed to characterize COVIDâ€19 infection in a Colombian oncological population. METHODOLOGY: Analytical cohort study of patients with cancer and COVIDâ€19 infection in Colombia. From April 1 to October 31, 2020. Demographic and clinical variables related to cancer and COVIDâ€19 infection were collected. The primary outcome was 30â€day mortality from all causes. The association between the outcome and the prognostic variables was analyzed using log
Document: INTRODUCTION: The ACHOCCâ€19 study was performed to characterize COVIDâ€19 infection in a Colombian oncological population. METHODOLOGY: Analytical cohort study of patients with cancer and COVIDâ€19 infection in Colombia. From April 1 to October 31, 2020. Demographic and clinical variables related to cancer and COVIDâ€19 infection were collected. The primary outcome was 30â€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 acuteâ€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 COVIDâ€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 COVIDâ€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.
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