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      Estimated impact of the COVID-19 pandemic on cancer services and excess 1-year mortality in people with cancer and multimorbidity: near real-time data on cancer care, cancer deaths and a population-based cohort study

      research-article
      1 , 2 , , 1 , 2 , 1 , 2 , 3 , 4 , 5 , 6 , 1 , 2 , 7 , 8 , 1 , 2 , 1 , 7 , 9 , 10 , 11 , 11 , 7 , 12 , 13 , 14 , 10 , 13 , 15 , 1 , 2 , 16 , 17 , 13 , 18 , 18 , 19 , 4 , 5 , 4 , 5 , 4 , 20 , 21 , 22 , 23 , 4 , 14 , 20 , 4 , 24 , 1 , 2 , 7
      BMJ Open
      BMJ Publishing Group
      COVID-19, oncology, health informatics

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          Abstract

          Objectives

          To estimate the impact of the COVID-19 pandemic on cancer care services and overall (direct and indirect) excess deaths in people with cancer.

          Methods

          We employed near real-time weekly data on cancer care to determine the adverse effect of the pandemic on cancer services. We also used these data, together with national death registrations until June 2020 to model deaths, in excess of background (pre-COVID-19) mortality, in people with cancer. Background mortality risks for 24 cancers with and without COVID-19-relevant comorbidities were obtained from population-based primary care cohort (Clinical Practice Research Datalink) on 3 862 012 adults in England.

          Results

          Declines in urgent referrals (median=−70.4%) and chemotherapy attendances (median=−41.5%) to a nadir (lowest point) in the pandemic were observed. By 31 May, these declines have only partially recovered; urgent referrals (median=−44.5%) and chemotherapy attendances (median=−31.2%). There were short-term excess death registrations for cancer (without COVID-19), with peak relative risk (RR) of 1.17 at week ending on 3 April. The peak RR for all-cause deaths was 2.1 from week ending on 17 April. Based on these findings and recent literature, we modelled 40% and 80% of cancer patients being affected by the pandemic in the long-term. At 40% affected, we estimated 1-year total (direct and indirect) excess deaths in people with cancer as between 7165 and 17 910, using RRs of 1.2 and 1.5, respectively, where 78% of excess deaths occured in patients with ≥1 comorbidity.

          Conclusions

          Dramatic reductions were detected in the demand for, and supply of, cancer services which have not fully recovered with lockdown easing. These may contribute, over a 1-year time horizon, to substantial excess mortality among people with cancer and multimorbidity. It is urgent to understand how the recovery of general practitioner, oncology and other hospital services might best mitigate these long-term excess mortality risks.

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          Most cited references34

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          Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study

          Summary Background Data on patients with COVID-19 who have cancer are lacking. Here we characterise the outcomes of a cohort of patients with cancer and COVID-19 and identify potential prognostic factors for mortality and severe illness. Methods In this cohort study, we collected de-identified data on patients with active or previous malignancy, aged 18 years and older, with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection from the USA, Canada, and Spain from the COVID-19 and Cancer Consortium (CCC19) database for whom baseline data were added between March 17 and April 16, 2020. We collected data on baseline clinical conditions, medications, cancer diagnosis and treatment, and COVID-19 disease course. The primary endpoint was all-cause mortality within 30 days of diagnosis of COVID-19. We assessed the association between the outcome and potential prognostic variables using logistic regression analyses, partially adjusted for age, sex, smoking status, and obesity. This study is registered with ClinicalTrials.gov, NCT04354701, and is ongoing. Findings Of 1035 records entered into the CCC19 database during the study period, 928 patients met inclusion criteria for our analysis. Median age was 66 years (IQR 57–76), 279 (30%) were aged 75 years or older, and 468 (50%) patients were male. The most prevalent malignancies were breast (191 [21%]) and prostate (152 [16%]). 366 (39%) patients were on active anticancer treatment, and 396 (43%) had active (measurable) cancer. At analysis (May 7, 2020), 121 (13%) patients had died. In logistic regression analysis, independent factors associated with increased 30-day mortality, after partial adjustment, were: increased age (per 10 years; partially adjusted odds ratio 1·84, 95% CI 1·53–2·21), male sex (1·63, 1·07–2·48), smoking status (former smoker vs never smoked: 1·60, 1·03–2·47), number of comorbidities (two vs none: 4·50, 1·33–15·28), Eastern Cooperative Oncology Group performance status of 2 or higher (status of 2 vs 0 or 1: 3·89, 2·11–7·18), active cancer (progressing vs remission: 5·20, 2·77–9·77), and receipt of azithromycin plus hydroxychloroquine (vs treatment with neither: 2·93, 1·79–4·79; confounding by indication cannot be excluded). Compared with residence in the US-Northeast, residence in Canada (0·24, 0·07–0·84) or the US-Midwest (0·50, 0·28–0·90) were associated with decreased 30-day all-cause mortality. Race and ethnicity, obesity status, cancer type, type of anticancer therapy, and recent surgery were not associated with mortality. Interpretation Among patients with cancer and COVID-19, 30-day all-cause mortality was high and associated with general risk factors and risk factors unique to patients with cancer. Longer follow-up is needed to better understand the effect of COVID-19 on outcomes in patients with cancer, including the ability to continue specific cancer treatments. Funding American Cancer Society, National Institutes of Health, and Hope Foundation for Cancer Research.
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            Patients with Cancer Appear More Vulnerable to SARS-CoV-2: A Multicenter Study during the COVID-19 Outbreak

            In a study of 105 patients with cancer and 536 without, all with confirmed COVID-19, cancer was predictive of more severe disease, with stage IV cancer, hematologic cancer, and lung cancer being associated with worse outcomes.
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              COVID-19 mortality in patients with cancer on chemotherapy or other anticancer treatments: a prospective cohort study

              Summary Background Individuals with cancer, particularly those who are receiving systemic anticancer treatments, have been postulated to be at increased risk of mortality from COVID-19. This conjecture has considerable effect on the treatment of patients with cancer and data from large, multicentre studies to support this assumption are scarce because of the contingencies of the pandemic. We aimed to describe the clinical and demographic characteristics and COVID-19 outcomes in patients with cancer. Methods In this prospective observational study, all patients with active cancer and presenting to our network of cancer centres were eligible for enrolment into the UK Coronavirus Cancer Monitoring Project (UKCCMP). The UKCCMP is the first COVID-19 clinical registry that enables near real-time reports to frontline doctors about the effects of COVID-19 on patients with cancer. Eligible patients tested positive for severe acute respiratory syndrome coronavirus 2 on RT-PCR assay from a nose or throat swab. We excluded patients with a radiological or clinical diagnosis of COVID-19, without a positive RT-PCR test. The primary endpoint was all-cause mortality, or discharge from hospital, as assessed by the reporting sites during the patient hospital admission. Findings From March 18, to April 26, 2020, we analysed 800 patients with a diagnosis of cancer and symptomatic COVID-19. 412 (52%) patients had a mild COVID-19 disease course. 226 (28%) patients died and risk of death was significantly associated with advancing patient age (odds ratio 9·42 [95% CI 6·56–10·02]; p<0·0001), being male (1·67 [1·19–2·34]; p=0·003), and the presence of other comorbidities such as hypertension (1·95 [1·36–2·80]; p<0·001) and cardiovascular disease (2·32 [1·47–3·64]). 281 (35%) patients had received cytotoxic chemotherapy within 4 weeks before testing positive for COVID-19. After adjusting for age, gender, and comorbidities, chemotherapy in the past 4 weeks had no significant effect on mortality from COVID-19 disease, when compared with patients with cancer who had not received recent chemotherapy (1·18 [0·81–1·72]; p=0·380). We found no significant effect on mortality for patients with immunotherapy, hormonal therapy, targeted therapy, radiotherapy use within the past 4 weeks. Interpretation Mortality from COVID-19 in cancer patients appears to be principally driven by age, gender, and comorbidities. We are not able to identify evidence that cancer patients on cytotoxic chemotherapy or other anticancer treatment are at an increased risk of mortality from COVID-19 disease compared with those not on active treatment. Funding University of Birmingham, University of Oxford.
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2020
                17 November 2020
                : 10
                : 11
                : e043828
                Affiliations
                [1 ]departmentInstitute of Health Informatics , University College London , London, UK
                [2 ]Health Data Research UK, University College London , London, UK
                [3 ]Barts Health NHS Trust, The Royal London Hospital , Whitechapel Rd, London, UK
                [4 ]DATA-CAN, Health Data Research UK hub for cancer hosted by UCLPartners , London, UK
                [5 ]Leeds Institute of Medical Research, University of Leeds , Leeds, UK
                [6 ]Leeds Teaching Hospitals NHS Trust , Leeds, UK
                [7 ]University College London Hospitals NIHR Biomedical Research Centre , London, UK
                [8 ]The Alan Turing Institute , London, UK
                [9 ]departmentInstitute of Cardiovascular Science , University College London , London, UK
                [10 ]University College London Hospitals NHS Trust , London, UK
                [11 ]Division of Infection and Immunity, University College London , London, UK
                [12 ]Department of Hematology, University College London Cancer Institute , London, UK
                [13 ]University College London Cancer Institute , London, UK
                [14 ]Royal Free NHS Foundation Trust , London, UK
                [15 ]Division of Genetics and Epidemiology, Institute of Cancer Research , London, UK
                [16 ]Northern Ireland Cancer Network , Northern Ireland, UK
                [17 ]Barts Liver Centre, Blizard Institute, Queen Mary University of London , London, UK
                [18 ]Office for National Statistics , London, UK
                [19 ]departmentLeeds Institute of Health Sciences , University of Leeds , Leeds, UK
                [20 ]UCLPartners Academic Health Science Partnership , London, UK
                [21 ]Centre for Cancer Outcomes, University College London Hospitals NHS Foundation Trust , London, UK
                [22 ]departmentUCL Great Ormond Street Institute of Child Health , University College London , London, UK
                [23 ]Conflict and Health Research Group, Institute of Cancer Policy, King’s College London , London, UK
                [24 ]Patrick G Johnston Centre for Cancer Research, Queen’s University Belfast , Belfast, UK
                Author notes
                [Correspondence to ] Dr Alvina G Lai; alvina.lai@ 123456ucl.ac.uk

                AL, ML and HH are joint senior authors.

                Author information
                http://orcid.org/0000-0001-8960-8095
                http://orcid.org/0000-0001-8741-3411
                http://orcid.org/0000-0002-8094-1841
                http://orcid.org/0000-0002-1734-5772
                http://orcid.org/0000-0003-0160-217X
                http://orcid.org/0000-0003-2279-0624
                Article
                bmjopen-2020-043828
                10.1136/bmjopen-2020-043828
                7674020
                33203640
                31f8494e-cf17-4295-a308-a42962ba659a
                © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See:  https://creativecommons.org/licenses/by/4.0/.

                History
                : 14 August 2020
                : 20 October 2020
                : 23 October 2020
                Funding
                Funded by: Health Data Research UK - DATA-CAN;
                Award ID: MC_PC_19006
                Funded by: FundRef http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: 204841/Z/16/Z
                Funded by: National Institute for Health Research University College London Hospitals Biomedical Research Centre;
                Award ID: BRC714/HI/RW/101440
                Funded by: National Institute for Health Research Great Ormond Street Hospital Biomedical Research Centre;
                Award ID: 19RX02
                Categories
                Oncology
                1506
                2474
                1717
                Original research
                Custom metadata
                unlocked

                Medicine
                covid-19,oncology,health informatics
                Medicine
                covid-19, oncology, health informatics

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