Factors influencing COVID-19 mortality among cancer patients: A Brazilian multi-institutional study

Author:

da Silva Jessé LopesORCID,de Souza Bruno Santos Wance,de Albuquerque Lucas Zanetti,Aleixo Sabina Bandeira,Resende Gilmara Anne da SilvaORCID,de Oliveira Daniela Galvão BarrosORCID,dos Santos Emerson Neves,Nogueira-Rodrigues Angélica,Clara Renan Orsati,Gaui Maria de Fatima Dias,Mota Augusto Cesar de Andrade,de Lima Vladmir Claudio CordeiroORCID,Rosa Daniela Dornelles,Munhoz Rodrigo Ramella,Morbeck Igor Alexandre Protzner,Gelatti Ana Caroline Zimmer,Mathias Clarissa Maria de Cerqueira,de Melo Andréia CristinaORCID

Abstract

Purpose This study aimed to describe the demographic and clinical characteristics of cancer patients with COVID-19, exploring factors associated with adverse outcomes. Patients and methods This retrospective cohort study methodically extracted and curated data from electronic medical records (EMRs) of numerous healthcare institutions on cancer patients diagnosed with a confirmed SARS-CoV-2 infection between May 2020 and August 2021, to identify risk factors linked to extended hospitalization and mortality. The retrieved information encompassed the patients’ demographic and clinical characteristics, including the incidence of prolonged hospitalization, acute complications, and COVID-19-related mortality. Results A total of 1446 cancer patients with COVID-19 were identified (mean [Standard deviation] age, 59.2 [14.3] years). Most patients were female (913 [63.1%]), non-white (646 [44.7%]), with non-metastatic (818 [56.6%]) solid tumors (1318 [91.1%]), and undergoing chemotherapy (647 [44.7%]). The rate of extended hospitalization due to COVID-19 was 46% (n = 665), which was significantly impacted by age (p = 0.012), sex (p = 0.003), race and ethnicity (p = 0.049), the presence of two or more comorbidities (p = 0.006), hematologic malignancies (p = 0.013), metastatic disease (p = 0.002), and a performance status ≥ 2 (p = 0.001). The COVID-19-related mortality rate was 18.9% (n = 273), and metastatic disease (<0.001), performance status ≥2 (<0.001), extended hospitalization (p = 0.028), renal failure (p = 0.029), respiratory failure (p < 0.001), sepsis (p = 0.004), and shock (p = 0.040) significantly and negatively influenced survival. Conclusion The rate of extended hospitalization and COVID-19-specific death in cancer patients was notably high and could be influenced by comorbidities, cancer treatment status, and clinical fragility. These observations may aid in developing risk counseling strategies regarding COVID-19 in individuals diagnosed with cancer.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference51 articles.

1. The novel zoonotic COVID-19 pandemic: An expected global health concern;C Contini;J Infect Dev Ctries,2020

2. COVID-19: An Update on the Epidemiological, Clinical, Preventive and Therapeutic Evidence and Guidelines of Integrative Chinese-Western Medicine for the Management of 2019 Novel Coronavirus Disease;KW Chan;Am J Chin Med,2020

3. Wuhan to World: The COVID-19 Pandemic;A Kumar;Frontiers in Cellular and Infection Microbiology,2021

4. COVID-19 in Brazil;FAL Marson;Pulmonology,2020

5. WHO Coronavirus (COVID-19) Dashboard [Internet]. [cited 2023 Jan 10]. Available from: https://covid19.who.int

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