Characteristics and outcomes of over 300,000 patients with COVID-19 and history of cancer in the United States and Spain

Autor: Lana Yin Hui Lai, Daniel R. Morales, Talita Duarte-Salles, Thomas Falconer, Carlos Areia, Jitendra Jonnagaddala, Kristin Kostka, Christian G. Reich, Daniel Prieto-Alhambra, Lisa M. Schilling, Dalia Dawoud, Clair Blacketer, Marc A. Suchard, Isabelle Soerjomataram, Frank J. DeFalco, George Hripcsak, Osaid Alser, Jose D. Posada, Fredrik Nyberg, Laura Hester, William Carter, Lin Zhang, Michael E. Matheny, Sergio Fernandez-Bertolin, Ying Zhang, Waheed Ul Rahman Ahmed, María Aragón, Heba Alghoul, Karthik Natarajan, Asieh Golozar, Mengchun Gong, Martina Recalde, Patrick B. Ryan, Aedín C. Culhane, Andrea Pistillo, Vignesh Subbian, Kristine E. Lynch, Thamir M. Alshammari, Albert Prats-Uribe, Yang Shen, Donna R. Rivera, Diana Puente, Anthony G. Sena, Hokyun Jeon, Karishma Shah, Elena Roel, Nigam H. Shah, Eng Hooi Tan, Paula Casajust, Scott L. DuVall, Matthew Spotniz, Anna Ostropolets, Annalisa Trama
Přispěvatelé: Medical Informatics
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Male
Databases
Factual

Outcome Assessment
Epidemiology
Comorbidity
outcomes
Medical and Health Sciences
Cohort Studies
Risk Factors
Neoplasms
Outcome Assessment
Health Care

Prevalence
80 and over
Medicine
Young adult
Aetiology
Child
Cancer
Aged
80 and over

cohort
Hematology
Middle Aged
Hospitalization
Infectious Diseases
Cohort
oncology
Female
Patient Safety
Cohort study
Human
Adult
Urologic Diseases
medicine.medical_specialty
Adolescent
Databases
Young Adult
Rare Diseases
SDG 3 - Good Health and Well-being
Clinical Research
Internal medicine
Influenza
Human

Breast Cancer
Humans
Adverse effect
Pandemics
Factual
Aged
Immunosuppression Therapy
business.industry
SARS-CoV-2
Prevention
COVID-19
medicine.disease
United States
Influenza
Health Care
Good Health and Well Being
El Niño
Spain
Observational study
business
2.4 Surveillance and distribution
Zdroj: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, vol 30, iss 10
Cancer Epidemiol Biomarkers Prev.
Roel, E, Pistillo, A, Recalde, M, Sena, A G, Fernández-Bertolín, S, Aragón, M, Puente, D, Ahmed, W U R, Alghoul, H, Alser, O, Alshammari, T M, Areia, C, Blacketer, C, Carter, W, Casajust, P, Culhane, A C, Dawoud, D, DeFalco, F, DuVall, S L, Falconer, T, Golozar, A, Gong, M, Hester, L, Hripcsak, G, Tan, E H, Jeon, H, Jonnagaddala, J, Lai, L Y H, Lynch, K E, Matheny, M E, Morales, D R, Natarajan, K, Nyberg, F, Ostropolets, A, Posada, J D, Prats-Uribe, A, Reich, C G, Rivera, D R, Schilling, L M, Soerjomataram, I, Shah, K, Shah, N H, Shen, Y, Spotniz, M, Subbian, V, Suchard, M A, Trama, A, Zhang, L, Zhang, Y, Ryan, P B, Prieto-Alhambra, D, Kostka, K & Duarte-Salles, T 2021, ' Characteristics and outcomes of over 300,000 patients with COVID-19 and history of cancer in the United States and Spain ', Cancer Epidemiology Biomarkers and Prevention, vol. 30, no. 10, pp. 1884-1894 . https://doi.org/10.1158/1055-9965.EPI-21-0266
Cancer Epidemiology Biomarkers and Prevention, 30(10), 1884-1894. American Association for Cancer Research Inc.
ISSN: 1055-9965
DOI: 10.1158/1055-9965.epi-21-0266
Popis: Background: We described the demographics, cancer subtypes, comorbidities, and outcomes of patients with a history of cancer and coronavirus disease 2019 (COVID-19). Second, we compared patients hospitalized with COVID-19 to patients diagnosed with COVID-19 and patients hospitalized with influenza. Methods: We conducted a cohort study using eight routinely collected health care databases from Spain and the United States, standardized to the Observational Medical Outcome Partnership common data model. Three cohorts of patients with a history of cancer were included: (i) diagnosed with COVID-19, (ii) hospitalized with COVID-19, and (iii) hospitalized with influenza in 2017 to 2018. Patients were followed from index date to 30 days or death. We reported demographics, cancer subtypes, comorbidities, and 30-day outcomes. Results: We included 366,050 and 119,597 patients diagnosed and hospitalized with COVID-19, respectively. Prostate and breast cancers were the most frequent cancers (range: 5%–18% and 1%–14% in the diagnosed cohort, respectively). Hematologic malignancies were also frequent, with non-Hodgkin's lymphoma being among the five most common cancer subtypes in the diagnosed cohort. Overall, patients were aged above 65 years and had multiple comorbidities. Occurrence of death ranged from 2% to 14% and from 6% to 26% in the diagnosed and hospitalized COVID-19 cohorts, respectively. Patients hospitalized with influenza (n = 67,743) had a similar distribution of cancer subtypes, sex, age, and comorbidities but lower occurrence of adverse events. Conclusions: Patients with a history of cancer and COVID-19 had multiple comorbidities and a high occurrence of COVID-19-related events. Hematologic malignancies were frequent. Impact: This study provides epidemiologic characteristics that can inform clinical care and etiologic studies.
Databáze: OpenAIRE