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      Impact of COVID-19 on cancer services and patients’ outcomes: a retrospective single-center study

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          Abstract

          Background

          Our main objective was to assess the impact of the coronavirus disease 2019 (COVID-19) on cancer services and cancer patients in terms of disease severity, morbidity and mortality. Secondary objectives were to characterize cancer type, affected age groups, gender, comorbidities, infectivity, and to identify cancer treatment delay and its complications after COVID-19 infection.

          Methods

          A retrospective analysis of electronic health records of polymerase chain reaction (PCR)-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infected cancer patients from April 2020 to March 2021 was done. The following parameters were investigated upon—new and follow-up cases during the pandemic and its preceding years (2018–2019, 2019–2020), age, sex, type of cancer, comorbidities, presentation, symptomatology and treatment for COVID-19, time to recovery, complications, delay in treatment and survival outcome. Statistical analysis using chi-square testing was done on the above variables.

          Results

          There was a 50.49% reduction in the number of new and follow-up cases as compared to that of the previous years. Seventy-four out of 310 (23.87%) COVID-19 positive cancer patients were aged in their sixth decade with the commonest type being hematological malignancies. A proportion of 84.8% (n=263) patients were asymptomatic. Univariate analysis was statistically significant for mortality with regard to age ≥60 years (P=0.034), type of malignancy (P=0.000178), hypertension (P=0.0028), symptomatology of COVID-19 infection (P=0.0016), site of treatment and oxygen/intervention (P<0.0001). There was an average delay in treatment time of 5 to 6 weeks. Multivariate analysis showed that gastrointestinal (GI) and hepato-pancreato-biliary (HPB) malignancies and oxygen requirement (>2 L/min) were responsible for the 20.65% mortality rate.

          Conclusions

          The pandemic significantly affected the care of cancer patients with decreased cases, late presentation, delayed treatment with potentially worse mortality outcome. Although they have decreased immunity, majority were asymptomatic. Most of the fatalities were in the GI and HPB malignancies.

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          Most cited references29

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          Global Cancer Statistics 2018: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries

          This article provides a status report on the global burden of cancer worldwide using the GLOBOCAN 2018 estimates of cancer incidence and mortality produced by the International Agency for Research on Cancer, with a focus on geographic variability across 20 world regions. There will be an estimated 18.1 million new cancer cases (17.0 million excluding nonmelanoma skin cancer) and 9.6 million cancer deaths (9.5 million excluding nonmelanoma skin cancer) in 2018. In both sexes combined, lung cancer is the most commonly diagnosed cancer (11.6% of the total cases) and the leading cause of cancer death (18.4% of the total cancer deaths), closely followed by female breast cancer (11.6%), prostate cancer (7.1%), and colorectal cancer (6.1%) for incidence and colorectal cancer (9.2%), stomach cancer (8.2%), and liver cancer (8.2%) for mortality. Lung cancer is the most frequent cancer and the leading cause of cancer death among males, followed by prostate and colorectal cancer (for incidence) and liver and stomach cancer (for mortality). Among females, breast cancer is the most commonly diagnosed cancer and the leading cause of cancer death, followed by colorectal and lung cancer (for incidence), and vice versa (for mortality); cervical cancer ranks fourth for both incidence and mortality. The most frequently diagnosed cancer and the leading cause of cancer death, however, substantially vary across countries and within each country depending on the degree of economic development and associated social and life style factors. It is noteworthy that high-quality cancer registry data, the basis for planning and implementing evidence-based cancer control programs, are not available in most low- and middle-income countries. The Global Initiative for Cancer Registry Development is an international partnership that supports better estimation, as well as the collection and use of local data, to prioritize and evaluate national cancer control efforts. CA: A Cancer Journal for Clinicians 2018;0:1-31. © 2018 American Cancer Society.
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            Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China

            China and the rest of the world are experiencing an outbreak of a novel betacoronavirus known as severe acute respiratory syndrome corona virus 2 (SARS-CoV-2). 1 By Feb 12, 2020, the rapid spread of the virus had caused 42 747 cases and 1017 deaths in China and cases have been reported in 25 countries, including the USA, Japan, and Spain. WHO has declared 2019 novel coronavirus disease (COVID-19), caused by SARS-CoV-2, a public health emergency of international concern. In contrast to severe acute respiratory system coronavirus and Middle East respiratory syndrome coronavirus, more deaths from COVID-19 have been caused by multiple organ dysfunction syndrome rather than respiratory failure, 2 which might be attributable to the widespread distribution of angiotensin converting enzyme 2—the functional receptor for SARS-CoV-2—in multiple organs.3, 4 Patients with cancer are more susceptible to infection than individuals without cancer because of their systemic immunosuppressive state caused by the malignancy and anticancer treatments, such as chemotherapy or surgery.5, 6, 7, 8 Therefore, these patients might be at increased risk of COVID-19 and have a poorer prognosis. On behalf of the National Clinical Research Center for Respiratory Disease, we worked together with the National Health Commission of the People's Republic of China to establish a prospective cohort to monitor COVID-19 cases throughout China. As of the data cutoff on Jan 31, 2020, we have collected and analysed 2007 cases from 575 hospitals (appendix pp 4–9 for a full list) in 31 provincial administrative regions. All cases were diagnosed with laboratory-confirmed COVID-19 acute respiratory disease and were admitted to hospital. We excluded 417 cases because of insufficient records of previous disease history. 18 (1%; 95% CI 0·61–1·65) of 1590 COVID-19 cases had a history of cancer, which seems to be higher than the incidence of cancer in the overall Chinese population (285·83 [0·29%] per 100 000 people, according to 2015 cancer epidemiology statistics 9 ). Detailed information about the 18 patients with cancer with COVID-19 is summarised in the appendix (p 1). Lung cancer was the most frequent type (five [28%] of 18 patients). Four (25%) of 16 patients (two of the 18 patients had unknown treatment status) with cancer with COVID-19 had received chemotherapy or surgery within the past month, and the other 12 (25%) patients were cancer survivors in routine follow-up after primary resection. Compared with patients without cancer, patients with cancer were older (mean age 63·1 years [SD 12·1] vs 48·7 years [16·2]), more likely to have a history of smoking (four [22%] of 18 patients vs 107 [7%] of 1572 patients), had more polypnea (eight [47%] of 17 patients vs 323 [23%] of 1377 patients; some data were missing on polypnea), and more severe baseline CT manifestation (17 [94%] of 18 patients vs 1113 [71%] of 1572 patients), but had no significant differences in sex, other baseline symptoms, other comorbidities, or baseline severity of x-ray (appendix p 2). Most importantly, patients with cancer were observed to have a higher risk of severe events (a composite endpoint defined as the percentage of patients being admitted to the intensive care unit requiring invasive ventilation, or death) compared with patients without cancer (seven [39%] of 18 patients vs 124 [8%] of 1572 patients; Fisher's exact p=0·0003). We observed similar results when the severe events were defined both by the above objective events and physician evaluation (nine [50%] of 18 patients vs 245 [16%] of 1572 patients; Fisher's exact p=0·0008). Moreover, patients who underwent chemotherapy or surgery in the past month had a numerically higher risk (three [75%] of four patients) of clinically severe events than did those not receiving chemotherapy or surgery (six [43%] of 14 patients; figure ). These odds were further confirmed by logistic regression (odds ratio [OR] 5·34, 95% CI 1·80–16·18; p=0·0026) after adjusting for other risk factors, including age, smoking history, and other comorbidities. Cancer history represented the highest risk for severe events (appendix p 3). Among patients with cancer, older age was the only risk factor for severe events (OR 1·43, 95% CI 0·97–2·12; p=0·072). Patients with lung cancer did not have a higher probability of severe events compared with patients with other cancer types (one [20%] of five patients with lung cancer vs eight [62%] of 13 patients with other types of cancer; p=0·294). Additionally, we used a Cox regression model to evaluate the time-dependent hazards of developing severe events, and found that patients with cancer deteriorated more rapidly than those without cancer (median time to severe events 13 days [IQR 6–15] vs 43 days [20–not reached]; p<0·0001; hazard ratio 3·56, 95% CI 1·65–7·69, after adjusting for age; figure). Figure Severe events in patients without cancer, cancer survivors, and patients with cancer (A) and risks of developing severe events for patients with cancer and patients without cancer (B) ICU=intensive care unit. In this study, we analysed the risk for severe COVID-19 in patients with cancer for the first time, to our knowledge; only by nationwide analysis can we follow up patients with rare but important comorbidities, such as cancer. We found that patients with cancer might have a higher risk of COVID-19 than individuals without cancer. Additionally, we showed that patients with cancer had poorer outcomes from COVID-19, providing a timely reminder to physicians that more intensive attention should be paid to patients with cancer, in case of rapid deterioration. Therefore, we propose three major strategies for patients with cancer in this COVID-19 crisis, and in future attacks of severe infectious diseases. First, an intentional postponing of adjuvant chemotherapy or elective surgery for stable cancer should be considered in endemic areas. Second, stronger personal protection provisions should be made for patients with cancer or cancer survivors. Third, more intensive surveillance or treatment should be considered when patients with cancer are infected with SARS-CoV-2, especially in older patients or those with other comorbidities.
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              Comorbidity and its impact on 1590 patients with Covid-19 in China: A Nationwide Analysis

              Background The coronavirus disease 2019 (Covid-19) outbreak is evolving rapidly worldwide. Objective To evaluate the risk of serious adverse outcomes in patients with coronavirus disease 2019 (Covid-19) by stratifying the comorbidity status. Methods We analysed the data from 1590 laboratory-confirmed hospitalised patients 575 hospitals in 31 province/autonomous regions/provincial municipalities across mainland China between December 11th, 2019 and January 31st, 2020. We analyse the composite endpoints, which consisted of admission to intensive care unit, or invasive ventilation, or death. The risk of reaching to the composite endpoints was compared according to the presence and number of comorbidities. Results The mean age was 48.9 years. 686 patients (42.7%) were females. Severe cases accounted for 16.0% of the study population. 131 (8.2%) patients reached to the composite endpoints. 399 (25.1%) reported having at least one comorbidity. The most prevalent comorbidity was hypertension (16.9%), followed by diabetes (8.2%). 130 (8.2%) patients reported having two or more comorbidities. After adjusting for age and smoking status, COPD [hazards ratio (HR) 2.681, 95% confidence interval (95%CI) 1.424–5.048], diabetes (HR 1.59, 95%CI 1.03–2.45), hypertension (HR 1.58, 95%CI 1.07–2.32) and malignancy (HR 3.50, 95%CI 1.60–7.64) were risk factors of reaching to the composite endpoints. The HR was 1.79 (95%CI 1.16–2.77) among patients with at least one comorbidity and 2.59 (95%CI 1.61–4.17) among patients with two or more comorbidities. Conclusion Among laboratory-confirmed cases of Covid-19, patients with any comorbidity yielded poorer clinical outcomes than those without. A greater number of comorbidities also correlated with poorer clinical outcomes.
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                Author and article information

                Journal
                Ann Transl Med
                Ann Transl Med
                ATM
                Annals of Translational Medicine
                AME Publishing Company
                2305-5839
                2305-5847
                15 June 2023
                30 June 2023
                : 11
                : 9
                : 310
                Affiliations
                [1 ]deptDepartment of Trauma & Orthopaedics , Imperial College London Healthcare NHS Trust , London, UK;
                [2 ]deptDepartment of Surgical Oncology , Saroj Gupta Cancer Centre and Research Institute , Kolkata, India;
                [3 ]Department of Medical Oncology, Mount Vernon Cancer Centre, East and North Hertfordshire NHS Trust , London, UK;
                [4 ]Department of Medical Oncology, Barts Cancer Centre, St. Bartholomew’s Hospital, Barts Health NHS Trust , London, UK;
                [5 ]Department of Medical Oncology, Medway NHS Foundation Trust, Gillingham , Kent, UK;
                [6 ]deptDepartment of Critical Care , Saroj Gupta Cancer Centre and Research Institute , Kolkata, India;
                [7 ]deptDepartment of Surgical Oncology , University of Nebraska Medical Centre , Omaha, NE, USA;
                [8 ]deptFaculty of Life Sciences & Medicine, School of Cancer & Pharmaceutical Sciences , King’s College London , London, UK;
                [9 ]deptKent Medway Medical School , University of Kent , Canterbury, UK;
                [10 ]AELIA Organization , 9 th Km Thessaloniki-Thermi, Thessaloniki, Greece
                Author notes

                Contributions: (I) Conception and design: B Sain, C Are, S Boussios; (II) Administrative support: All authors; (III) Provision of study materials or patients: All authors; (IV) Collection and assembly of data: All authors; (V) Data analysis and interpretation: All authors, (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.

                Correspondence to: Prof. Stergios Boussios, MD, MSc, PhD, FRCP. Faculty of Life Sciences & Medicine, School of Cancer and Pharmaceutical Sciences, King’s College London, London SE1 9RT, UK; Consultant Medical Oncologist, Department of Medical Oncology, Medway NHS Foundation Trust, Windmill Road, Gillingham ME7 5NY, Kent, UK; Kent Medway Medical School, University of Kent, Canterbury CT2 7LX, UK; AELIA Organization, 9 th Km Thessaloniki-Thermi, 57001 Thessaloniki, Greece; Clinical Lead for Research & Innovation, Department of Research & Innovation, Medway NHS Foundation Trust, Gillingham ME7 5NY, Kent, UK; Associate Royal College Tutor in Medicine, Medway Faculty Group, Kent ME7 5NY, UK. Email: stergiosboussios@ 123456gmail.com ; stergios.boussios@ 123456nhs.net ; stergios.boussios@ 123456kcl.ac.uk .
                [^]

                ORCID: 0000-0002-2512-6131.

                Article
                atm-11-09-310
                10.21037/atm-22-5876
                10316091
                9e10d60f-bec4-4bbf-931d-8ee169a8c0e5
                2023 Annals of Translational Medicine. All rights reserved.

                Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0.

                History
                : 24 November 2022
                : 21 April 2023
                Categories
                Original Article

                coronavirus disease 2019 (covid-19),cancer,comorbidities,morbidity,mortality

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