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      Prescreening for COVID-19 in patients receiving cancer treatment using a patient-reported outcome platform

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          Abstract

          COVID-19 is an infectious pandemic disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus with varying presentations ranging from asymptomatic, sensation of a mild cold or influenza to severe bilateral pneumonia and death.1 Patients with cancer and COVID-19 are at a significantly higher likelihood of poor disease outcomes.2 3 In the absence of a vaccine or adequate treatment of COVID-19 current measures to minimise the infectious risk of SARS-CoV-2 in a cancer patient population are focused on physical distancing and protective measures. As it is clear that a hospital is a high-risk setting to contract COVID-19, one of the strategies we can use to treat patients with cancer as safe as possible is to reduce hospital visits to a strict minimum. We previously reported on AMTRA (ambulatory Monitoring of cancer Therapy using an interactive Application) which is a home-based monitoring, registration and interaction PRO (Patient Reported Outcomes) tool, developed in Belgium as an academic research project.4 The platform, RemeCare Oncology, was initially developed as a home toxicity monitoring system for oral treatment, but later expanded to all anticancer treatments and linked to an interactive home blood sampling system. It proved to be effective and reliable and patients were highly satisfied using it5. Consenting patients are equipped with a PRO application (RemeCare app) for remote interactive monitoring of toxicities. During the present COVID-19 pandemic the system was used to maximise the home care of patients with cancer (COrona REmeCare Oncology). COVID-19-related complaints are routinely questioned by the AMTRA system (fever, muscular pain, cough, shortness of breath). Via an online connection the presence and severity (from grade 0 to 3) of toxicities are registered at any time and uploaded to a web-based central platform, stored in the patients’ electronic medical record (figure 1). If the registered temperature is above 38.0°C or there is at least one symptom suspicious for COVID-19 the patient is asked to come to the hospital (emergency COVID-19 screening unit) for SARS-CoV-2 formal PCR testing on a nose/throat swab. This implicates that the App does not discriminate between COVID-19 and other causes of alarm such as neutropenic fever, bacterial infections, and so on. Over the last month we used this platform in 164 patients receiving systemic cancer treatment. A COVID-19 alarm was raised in five patients and in three of them a formal diagnosis of COVID-19 could be confirmed (table 1). One patient had a laryngitis according to his general practitioner and did not have a COVID test and one patient tested negative. We are not aware of patients in this population being admitted for COVID-19 without a RemeCare alarm signal. Although further research is needed to confirm the sensitivity and specificity of our App, the current observations show that patient-reported outcome platforms work in daily life to prescreen for COVID-19. As several cases are reported in Belgium of patients with COVID-19 collapsing and dying at home despite attempts of resuscitation as they ignored their symptoms, we hope that home patient monitoring may be helpful to alert patients with cancer to seek advice at an earlier stage. Figure 1 Flow of the RemeCare system. Table 1 Characteristics of the patients with a COVID-19-related alarm included in the COREO project Age Gender WHO Tumour type Date of diagnosis Metastasis Treatment Alarm RemeCare Test COVID-19 Result Hospitalisation Follow-up Date Symptom 66 M 2 Urothelial cancer 1 October 2015 Liver/peritoneal Chemo: CarboTaxol once weekly 20 March 2020 T°39.2 Initially considered as tumour fever         22 March 2020 T°38.2         23 March 2020 T°39.2 24 March 2020 Negative Still hospitalised at present         5 April 2020 T°38.7           15 April 2020 Positive 15 April 2020 74 M 1 Glioblastoma 2 August 2018 None Targeted: regorafenib 22 March 2020 Dyspnoea/cough/myalgia/T°38 Netherlands Positive 23 March 2020 Home isolation         1 April 2020 T°39.9 16 April 2020 54 M 0 Nasopharyngeal carcinoma 12 November 2019 Bone/lung/pleura Chemo: cisplatin/gemcitabine 6 April 2020 Cough/T°39.4 6 April 2020 Positive 6 April 2020 Admitted to hospital, discharged 24 March 2020         7 April 2020 T°39.4 21 April 2020 Positive 62 M 1 Urothelial cancer 1 December 2019 Lung Chemo: paclitaxel/carboplatin 7 April 2020 Dyspnoea/cough/myalgia Not tested         20 April 2020 T°38 Pharyngitis according to GP             No symptoms at present 54 M 0 Rectal adenocarcinoma 4 October 2019 None Chemo: CAPOX every 3 weeks 19 April 2020 T°38.2 5 April 2020 Negative No retesting             No symptoms at present CAPOX, capecitabine plus oxaliplatin; COREO, COrona REmeCare Oncology; GP, general practitioner.

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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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            Do Patients with Cancer Have a Poorer Prognosis of COVID-19? An Experience in New York City.

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              AMTRA: a multicentered experience of a web-based monitoring and tailored toxicity management system for cancer patients

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                Author and article information

                Journal
                ESMO Open
                ESMO Open
                esmoopen
                esmoopen
                ESMO Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2059-7029
                2020
                21 June 2020
                21 June 2020
                : 5
                : 3
                : e000817
                Affiliations
                [1 ]departmentDepartment of Medical Oncology, MOCA , University Hospital Antwerp (UZA) , Antwerp, Belgium
                [2 ]departmentDepartment of Molecular Imaging, Pathology, Radiotherapy & Oncology (MIPRO), Center for Oncological Research (CORE) , Antwerp University , Antwerp, Belgium
                [3 ]departmentUnit of Gynecologic Oncology, Department of Obstetrics & Gynecology, MOCA , University Hospital Antwerp (UZA) , Antwerp, Belgium
                [4 ]departmentDepartment of Medical Oncology , AZ Maria Middelares VZW , Gent, Belgium
                [5 ]Remedus Bvba , Aartselaar, Belgium
                [6 ]departmentUnit of Thoracic Oncology, MOCA , University Hospital Antwerp (UZA) , Antwerp, Belgium
                Author notes
                [Correspondence to ] Dr Marc Peeters; marc.peeters@ 123456uza.be
                Author information
                http://orcid.org/0000-0003-4969-2303
                http://orcid.org/0000-0002-9184-7703
                Article
                esmoopen-2020-000817
                10.1136/esmoopen-2020-000817
                7307523
                80403077-c067-43a9-b434-97f1c3cee891
                © Author (s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. Published by BMJ on behalf of the European Society for Medical Oncology.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, any changes made are indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 29 April 2020
                : 18 May 2020
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                covid-19,cancer,prescreening,telemonitoring
                covid-19, cancer, prescreening, telemonitoring

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