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      Impacto de la COVID-19 en los enfermos con diagnóstico de cáncer de pulmón en el Hospital Universitario General Calixto García Translated title: Impact of COVID-19 on Ill Patients Diagnosed with Lung Cancer at Hospital Universitario General Calixto García

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          RESUMEN Introducción: En enero de 2020 la Organización Mundial de la Salud declara el estado de pandemia por COVID-19. Los enfermos con cáncer de pulmón tienen gran vulnerabilidad ante esta enfermedad. Objetivo: Evaluar el impacto de la COVID-19 en los enfermos con diagnóstico de cáncer de pulmón. Método: Se realizó un estudio descriptivo, retrospectivo y longitudinal en 273 enfermos con cáncer de pulmón, discutidos en el Grupo Multidisciplinario de Tórax del Hospital Universitario General Calixto García desde el 2019 hasta el 2021. Se analizaron diferentes variables y se aplicaron análisis estadísticos, tales como porcentaje, desviación estándar y media. Resultados: El mayor número de enfermos operados discutidos en el grupo multidisciplinario fue durante el 2019 (21 para un 19,45 %). La etapa clínica II predominó en el año 2019, en 10 pacientes. La lobectomía fue la técnica más empleada y predominó en el 2019 en 16 enfermos (76,2 %), mientras que durante el 2020-2021 fueron 7. En estos años se diagnosticaron con COVID-19 un total de 17 individuos no operados y fallecieron 11. Conclusiones: Durante el período 2020-2021 disminuyó el número de casos discutidos por cáncer de pulmón en el Grupo Multidisciplinario de Tórax del Hospital Universitario General Calixto García. La mayoría no tuvo criterio de cirugía. La lobectomía fue la técnica quirúrgica más empleada, aunque se redujo su realización durante el 2020-2021. La mayoría de los enfermos que contrajeron COVID-19 no fueron operados y más de la mitad de ellos fallecieron.

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          The impact of the COVID-19 pandemic on cancer deaths due to delays in diagnosis in England, UK: a national, population-based, modelling study

          Summary Background Since a national lockdown was introduced across the UK in March, 2020, in response to the COVID-19 pandemic, cancer screening has been suspended, routine diagnostic work deferred, and only urgent symptomatic cases prioritised for diagnostic intervention. In this study, we estimated the impact of delays in diagnosis on cancer survival outcomes in four major tumour types. Methods In this national population-based modelling study, we used linked English National Health Service (NHS) cancer registration and hospital administrative datasets for patients aged 15–84 years, diagnosed with breast, colorectal, and oesophageal cancer between Jan 1, 2010, and Dec 31, 2010, with follow-up data until Dec 31, 2014, and diagnosed with lung cancer between Jan 1, 2012, and Dec 31, 2012, with follow-up data until Dec 31, 2015. We use a routes-to-diagnosis framework to estimate the impact of diagnostic delays over a 12-month period from the commencement of physical distancing measures, on March 16, 2020, up to 1, 3, and 5 years after diagnosis. To model the subsequent impact of diagnostic delays on survival, we reallocated patients who were on screening and routine referral pathways to urgent and emergency pathways that are associated with more advanced stage of disease at diagnosis. We considered three reallocation scenarios representing the best to worst case scenarios and reflect actual changes in the diagnostic pathway being seen in the NHS, as of March 16, 2020, and estimated the impact on net survival at 1, 3, and 5 years after diagnosis to calculate the additional deaths that can be attributed to cancer, and the total years of life lost (YLLs) compared with pre-pandemic data. Findings We collected data for 32 583 patients with breast cancer, 24 975 with colorectal cancer, 6744 with oesophageal cancer, and 29 305 with lung cancer. Across the three different scenarios, compared with pre-pandemic figures, we estimate a 7·9–9·6% increase in the number of deaths due to breast cancer up to year 5 after diagnosis, corresponding to between 281 (95% CI 266–295) and 344 (329–358) additional deaths. For colorectal cancer, we estimate 1445 (1392–1591) to 1563 (1534–1592) additional deaths, a 15·3–16·6% increase; for lung cancer, 1235 (1220–1254) to 1372 (1343–1401) additional deaths, a 4·8–5·3% increase; and for oesophageal cancer, 330 (324–335) to 342 (336–348) additional deaths, 5·8–6·0% increase up to 5 years after diagnosis. For these four tumour types, these data correspond with 3291–3621 additional deaths across the scenarios within 5 years. The total additional YLLs across these cancers is estimated to be 59 204–63 229 years. Interpretation Substantial increases in the number of avoidable cancer deaths in England are to be expected as a result of diagnostic delays due to the COVID-19 pandemic in the UK. Urgent policy interventions are necessary, particularly the need to manage the backlog within routine diagnostic services to mitigate the expected impact of the COVID-19 pandemic on patients with cancer. Funding UK Research and Innovation Economic and Social Research Council.
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            Clinical characteristics of COVID-19-infected cancer patients: a retrospective case study in three hospitals within Wuhan, China

            Background Cancer patients are regarded as a highly vulnerable group in the current Coronavirus Disease 2019 (COVID-19) pandemic. To date, the clinical characteristics of COVID-19-infected cancer patients remain largely unknown. Patients and methods In this retrospective cohort study, we included cancer patients with laboratory-confirmed COVID-19 from three designated hospitals in Wuhan, China. Clinical data were collected from medical records from 13 January 2020 to 26 February 2020. Univariate and multivariate analyses were carried out to assess the risk factors associated with severe events defined as a condition requiring admission to an intensive care unit, the use of mechanical ventilation, or death. Results A total of 28 COVID-19-infected cancer patients were included; 17 (60.7%) patients were male. Median (interquartile range) age was 65.0 (56.0–70.0) years. Lung cancer was the most frequent cancer type (n = 7; 25.0%). Eight (28.6%) patients were suspected to have hospital-associated transmission. The following clinical features were shown in our cohort: fever (n = 23, 82.1%), dry cough (n = 22, 81%), and dyspnoea (n = 14, 50.0%), along with lymphopaenia (n = 23, 82.1%), high level of high-sensitivity C-reactive protein (n = 23, 82.1%), anaemia (n = 21, 75.0%), and hypoproteinaemia (n = 25, 89.3%). The common chest computed tomography (CT) findings were ground-glass opacity (n = 21, 75.0%) and patchy consolidation (n = 13, 46.3%). A total of 15 (53.6%) patients had severe events and the mortality rate was 28.6%. If the last antitumour treatment was within 14 days, it significantly increased the risk of developing severe events [hazard ratio (HR) = 4.079, 95% confidence interval (CI) 1.086–15.322, P = 0.037]. Furthermore, patchy consolidation on CT on admission was associated with a higher risk of developing severe events (HR = 5.438, 95% CI 1.498–19.748, P = 0.010). Conclusions Cancer patients show deteriorating conditions and poor outcomes from the COVID-19 infection. It is recommended that cancer patients receiving antitumour treatments should have vigorous screening for COVID-19 infection and should avoid treatments causing immunosuppression or have their dosages decreased in case of COVID-19 coinfection.
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              Collateral damage: the impact on outcomes from cancer surgery of the COVID-19 pandemic

              Background Cancer diagnostics and surgery have been disrupted by the response of healthcare services to the COVID-19 pandemic. Progression of cancers during delay will impact on patient long-term survival. Methods We generated per-day hazard ratios of cancer progression from observational studies and applied these to age-specific, stage-specific cancer survival for England 2013-2017. We modelled per-patient delay of three months and six months and periods of disruption of one year and two years. Using healthcare resource costing, we contextualise attributable lives saved and life-years gained from cancer surgery to equivalent volumes of COVID-19 hospitalisations. Findings Per year, 94,912 resections for major cancers result in 80,406 long-term survivors and 1,717,051 life years gained. Per-patient delay of three/six months would cause attributable death of 4,755/10,760 of these individuals with loss of 92,214/208,275 life-years. For cancer surgery, average life-years gained (LYGs) per patient are 18.1 under standard conditions and 17.1/15.9 with a delay of three/six months (an average loss of 0.97/2.19 LYG per patient). Taking into account units of healthcare resource (HCRU), surgery results on average per patient in 2.25 resource-adjusted life-years gained (RALYGs) under standard conditions and 2.12/1.97 RALYGs following delay of three/six months. For 94,912 hospital COVID-19 admissions, there are 482,022 LYGs requiring of 1,052,949 HCRUs. Hospitalisation of community-acquired COVID-19 patients yields on average per patient 5.08 LYG and 0.46 RALYGs. Interpretation Modest delays in surgery for cancer incur significant impact on survival. Delay of three/six months in surgery for incident cancers would mitigate 19%/43% of life-years gained by hospitalisation of an equivalent volume of admissions for community-acquired COVID-19. This rises to 26%/59% when considering resource-adjusted life-years gained. To avoid a downstream public health crisis of avoidable cancer deaths, cancer diagnostic and surgical pathways must be maintained at normal throughput, with rapid attention to any backlog already accrued.
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                Author and article information

                Journal
                cir
                Revista Cubana de Cirugía
                Rev Cubana Cir
                Editorial Ciencias Médicas (Ciudad de la Habana, , Cuba )
                0034-7493
                1561-2945
                December 2023
                : 62
                : 4
                : e1547
                Affiliations
                [1] La Habana orgnameHospital Universitario Clínico Quirúrgico General Calixto García Cuba
                Article
                S0034-74932023000400005 S0034-7493(23)06200400005
                327795e5-1fe0-49d1-9c5e-66b67ca8b874

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                History
                : 20 June 2023
                : 18 July 2023
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 28, Pages: 0
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                SciELO Cuba

                Categories
                ARTÍCULO ORIGINAL

                pandemic,pandemia,COVID-19,cáncer de pulmón,lung cancer
                pandemic, pandemia, COVID-19, cáncer de pulmón, lung cancer

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