Impact of COVID-19 on healthcare organisation and cancer outcomes

被引:32
作者
Bardet, Aurelie [1 ,2 ]
Fraslin, Alderic M. [1 ,2 ]
Marghadi, Jamila [3 ]
Borget, Isabelle [1 ,2 ]
Faron, Matthieu [1 ,2 ,4 ]
Honore, Charles [4 ]
Delaloge, Suzette [5 ]
Albiges, Laurence [5 ]
Planchard, David [6 ]
Ducreux, Michel [5 ,7 ]
Hadoux, Julien [8 ]
Colomba, Emeline [5 ]
Robert, Caroline [5 ]
Bouhir, Samia [9 ]
Massard, Christophe [10 ]
Micol, Jean-Baptiste [11 ,12 ]
Ter-Minassian, Lucile [13 ]
Michiels, Stefan [1 ,2 ]
Auperin, Anne [1 ,2 ]
Barlesi, Fabrice [5 ,14 ]
Bonastre, Julia [1 ,2 ]
机构
[1] Paris Saclay Univ, Gustave Roussy, Dept Biostat & Epidemiol, 114 Rue Edouard Vaillant, F-94800 Villejuif, France
[2] Paris Saclay Univ, Labeled Ligue Canc, INSERM, Oncostat U1018, Villejuif, France
[3] Gustave Roussy, Serv Med Informat, Villejuif, France
[4] Gustave Roussy, Dept Surg Oncol, Villejuif, France
[5] Paris Saclay Univ, Gustave Roussy, Dept Canc Med, Villejuif, France
[6] Gustave Roussy, Thorac Oncol Unit, Dept Canc Med, Villejuif, France
[7] INSERM, U1279, Villejuif, France
[8] Gustave Roussy, Imaging Dept, Dept Endocrinol, Villejuif, France
[9] Paris Saclay Univ, Gustave Roussy, Dept Head & Neck Oncol, Villejuif, France
[10] Paris Saclay Univ, Gustave Roussy, Dept Drug Dev DITEP, Villejuif, France
[11] Paris Saclay Univ, Gustave Roussy, Dept Hematol, Villejuif, France
[12] INSERM, U1287, Villejuif, France
[13] Univ Oxford, Dept Stat, Oxford, England
[14] Aix Marseille Univ, CNRS, INSERM, CRCM, Marseille, France
关键词
COVID-19; Delay; Diagnostics; Oncology; Survival; Hospital resources; BREAST-CANCER; SURVIVAL; DIAGNOSIS; DELAY; TIME; UK;
D O I
10.1016/j.ejca.2021.05.012
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Changes in the management of patients with cancer and delays in treatment delivery during the COVID-19 pandemic may impact the use of hospital resources and cancer mortality. Patients and methods: Patient flows, patient pathways and use of hospital resources during the pandemic were simulated using a discrete event simulation model and patient-level data from a large French comprehensive cancer centre's discharge database, considering two scenarios of delays: massive return of patients from November 2020 (early-return) or March 2021 (late -return). Expected additional cancer deaths at 5 years and mortality rate were estimated using individual hazard ratios based on literature. Results: The number of patients requiring hospital care during the simulation period was 13,000. In both scenarios, 6-8% of patients were estimated to present a delay of >2 months. The overall additional cancer deaths at 5 years were estimated at 88 in early-return and 145 in late-return scenario, with increased additional deaths estimated for sarcomas, gynaecological, liver, head and neck, breast cancer and acute leukaemia. This represents a relative additional cancer mortality rate at 5 years of 4.4 and 6.8% for patients expected in year 2020, 0.5 and 1.3% in 2021 and 0.5 and 0.5% in 2022 for each scenario, respectively. Conclusions: Pandemic-related diagnostic and treatment delays in patients with cancer are expected to impact patient survival. In the perspective of recurrent pandemics or alternative events requiring an intensive use of limited hospital resources, patients should be informed not to postpone care, and medical resources for patients with cancer should be sanctuarised. (c) 2021 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:123 / 132
页数:10
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