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[This corrects the article DOI: 10.1017/ash.2023.136.].
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Objective: Data are scarce regarding hospital infection control committees and compliance with infection prevention and control (IPC) recommendations in Brazil, a country of continental dimensions. We assessed the main characteristics of infection control committees (ICCs) on healthcare-associated infections (HAIs) in Brazilian hospitals. Methods: This cross-sectional study was conducted in ICCs of public and private hospitals distributed across all Brazilian regions. Data were collected directly from the ICC staff by completing an online questionnaire and during on-site visits through face-to-face interviews. Results: In total, 53 Brazilian hospitals were evaluated from October 2019 to December 2020. All hospitals had implemented the IPC core components in their programs. All centers had protocols for the prevention and control of ventilator-associated pneumonia as well as bloodstream, surgical site, and catheter-associated urinary tract infections. Most hospitals (80%) had no budget specifically allocated to the IPC program; 34% of the laundry staff had received specific IPC training; and only 7.5% of hospitals reported occupational infections in healthcare workers. Conclusions: In this sample, most ICCs complied with the minimum requirements for IPC programs. The main limitation regarding ICCs was the lack of financial support. The findings of this survey support the development of strategic plans to improve IPCs in Brazilian hospitals.
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INTRODUCTION: To analyze COVID-19 mortality in cancer patients and associated factors such as age, sex, type of insurance, situation at COVID-19 diagnosis, and cancer histology during the pandemic at a cancer center in Brazil. METHODS: Cross-sectional study carried out from April 02, 2020 to August 31, 2020 at A.C. Camargo Cancer Center (ACCCC), in São Paulo, Brazil. Cases were extracted from the Hospital Cancer Registry. COVID-19 lethality rates by histology were calculated; multiple logistic regression was used to identify factors associated with COVID-19 mortality. The log-rank test was applied to compare the survival curves for each variable. RESULTS: Of the 411 patients analyzed, 51 (12.4%) died due to COVID-19. Death occurred at an average age of 63 years. The fatality rate was higher for lung (0.333) and hematological (0.213) cancers and was associated with age over 60 years. The greatest chances of death from COVID-19 were in cases of lung (odds ratio, OR, 4.05, 95% confidence interval, CI 1.33-12.34) and hematological (OR 2.17, 95% CI 0.96-4.90) cancers, and in patients currently undergoing cancer treatment (OR 2.77, 95% CI 1.25-6.13). There were no statistical differences in survival by sex, age group, type of insurance, situation at the diagnosis of COVID-19, and histology of cancer for COVID-19. CONCLUSIONS: Mortality due to COVID-19 in cancer patients is heterogeneous. These findings reinforce the need for individualized strategies for the management of different types of cancer that reduce the risk of death from COVID-19.
