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DOI: 10.1055/s-0041-1731577
The Impact of COVID-19 Pandemic on Cancer Care in a Tertiary Care Facility
Abstract
Background Coronavirus disease 2019 (COVID-19) pandemic had an overwhelming impact on health care worldwide. Cancer patients represent a subgroup that is vulnerable and is under high risk. It is, therefore, necessary to analyze factors that predict outcomes in these patients so that they can be triaged accordingly to mitigate the effects of COVID-19 on cancer management. To date, the impact of COVID-19 on cancer patients remain largely unknown.
Methods Data of 291 cancer patients undergoing active treatment from March 23 to August 15, 2020 were retrospectively reviewed; the incidence, demographic and clinical characteristics, treatment, and outcomes of cancer patients infected by COVID-19 were included in the analysis.
Discussion During the index period (March 23–August 15, 2020), 4,494 confirmed cases of COVID-19 were admitted at our institute. In the department of medical oncology out of 578 patients presented to outpatient department, 291 patients were admitted for active treatment. Considering the cancer patients, infection rate was 7.9% (23/291) and mortality 13% (3/23). Median age was 40 years and the majority of patients were male (60%). The most common cancer type was acute lymphoblastic leukemia presented at various stages of treatment. Twenty patients (86.9%) were discharged after full clinical recovery and negative real-time polymerase chain reaction on a nasopharyngeal swab. Anticancer treatment was modified according to the type of cancer under intensive surveillance.
Conclusion Although mortality rate in COVID-19 cancer patients is elevated, our results support the feasibility and safety of continuing anticancer treatment during pandemic by endorsing consistent preventive measures, but however should be modified based on the type and prognosis of cancer.
Publication History
Article published online:
02 September 2021
© 2021. MedIntel Services Pvt Ltd. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).
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