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      A Rapid Fatal Evolution of Coronavirus Disease-19 in a Patient With Advanced Lung Cancer With a Long-Time Response to Nivolumab

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          Abstract

          To the Editor: Coronavirus disease-19 (COVID-19) is now a pandemic disease. In Italy, the first set of cases were documented at the end of January 2020 reporting a dramatic spread. Liang et al. 1 reported an increased risk of COVID-19 for patients with cancer, having poorer prognosis than those without cancer. We present a case of a rapid fatal evolution of COVID-19 in a patient with metastatic lung cancer in partial remission with immunotherapy since 2013. On March 4, 2020, a 65-year-old male patient presented in the emergency department for shortness of breath, fever, and mental confusion. The hemogasanalysis revealed hypoxia; laboratory tests revealed normal leukocytes with lymphopenia, and elevation of C-reactive protein, transaminases, and lactate dehydrogenase. Chest radiograph showed reticular interstitial addensative findings (Fig. 1). Nasal swab was positive for COVID-19. Figure 1 March 4 2020 Chest X-ray. His medical history was positive for emphysema and lung adenocarcinoma diagnosed in August 2012. At that time, the patient underwent cerebral metastasectomy, panencephalic radiotherapy, and chemotherapy (carboplatin and pemetrexed) until July 2013. After six cycles of chemotherapy, brain magnetic resonance imaging and computed tomography scan revealed progression of the disease. He was then enrolled in CA209-057 clinical trial and treated from August 2013 to February 14, 2020 with nivolumab, a programmed cell death protein-1 checkpoint inhibitor, in which there was partial response without adverse events reported. The last computed tomography scan was performed on February 2, 2020, which described stable disease (Fig. 2). Figure 2 February 4 2020 CT scan. On March 5, 2020, he was admitted to the infectious disease unit and started empiric antibiotic treatment and oxygen therapy with a reservoir mask at 15 L/minute. He was sedated because of agitation; because of this, he never received prescribed lopinavir plus ritonavir and hydroxychloroquine. The patient had a rapid worsening of the condition and died on March 9, 2020. There are no specific therapeutic agents for coronavirus infections. As per WHO’s guidelines in the management of severe COVID-19, our patient was treated with an empiric antimicrobial, oxygen therapy, and other symptomatic treatment. 2 Emerging evidence suggests that the same patient with a severe course may respond to the infection with a “cytokine storm.” 3 Histologic examination of the biopsy samples at autopsy from a patient who died from severe COVID-19 revealed the presence of bilateral diffuse alveolar damage with cellular fibromyxoid exudates and mononuclear inflammatory lymphocytes in both lungs. 4 Our patient had a history of long exposure to immunotherapy; and although a kind of paradoxical immunologic response to influenza infection or vaccination during the use of immune checkpoint inhibitors has been previously described, 5 we have no data regarding immune checkpoint inhibitors and the risk of COVID-19. Our patient presented a rapid evolution of respiratory failure and was not treated with more invasive procedures, probably owing to his cancer and emphysema history. We do not know whether treatment with steroids, not routinely recommended in COVID-19 (but very useful against side effects of immunotherapy), could help to control pneumonitis in these patients. This case emphasized the importance of a multidisciplinary approach, even in the presence of a severe outbreak like the pandemic COVID-19, because the knowledge of underlying disease and concomitant treatments is important to take the best individual therapeutic decision.

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          Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study

          Summary Background In December, 2019, a pneumonia associated with the 2019 novel coronavirus (2019-nCoV) emerged in Wuhan, China. We aimed to further clarify the epidemiological and clinical characteristics of 2019-nCoV pneumonia. Methods In this retrospective, single-centre study, we included all confirmed cases of 2019-nCoV in Wuhan Jinyintan Hospital from Jan 1 to Jan 20, 2020. Cases were confirmed by real-time RT-PCR and were analysed for epidemiological, demographic, clinical, and radiological features and laboratory data. Outcomes were followed up until Jan 25, 2020. Findings Of the 99 patients with 2019-nCoV pneumonia, 49 (49%) had a history of exposure to the Huanan seafood market. The average age of the patients was 55·5 years (SD 13·1), including 67 men and 32 women. 2019-nCoV was detected in all patients by real-time RT-PCR. 50 (51%) patients had chronic diseases. Patients had clinical manifestations of fever (82 [83%] patients), cough (81 [82%] patients), shortness of breath (31 [31%] patients), muscle ache (11 [11%] patients), confusion (nine [9%] patients), headache (eight [8%] patients), sore throat (five [5%] patients), rhinorrhoea (four [4%] patients), chest pain (two [2%] patients), diarrhoea (two [2%] patients), and nausea and vomiting (one [1%] patient). According to imaging examination, 74 (75%) patients showed bilateral pneumonia, 14 (14%) patients showed multiple mottling and ground-glass opacity, and one (1%) patient had pneumothorax. 17 (17%) patients developed acute respiratory distress syndrome and, among them, 11 (11%) patients worsened in a short period of time and died of multiple organ failure. Interpretation The 2019-nCoV infection was of clustering onset, is more likely to affect older males with comorbidities, and can result in severe and even fatal respiratory diseases such as acute respiratory distress syndrome. In general, characteristics of patients who died were in line with the MuLBSTA score, an early warning model for predicting mortality in viral pneumonia. Further investigation is needed to explore the applicability of the MuLBSTA score in predicting the risk of mortality in 2019-nCoV infection. Funding National Key R&D Program of China.
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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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              Author and article information

              Contributors
              Journal
              J Thorac Oncol
              J Thorac Oncol
              Journal of Thoracic Oncology
              International Association for the Study of Lung Cancer. Published by Elsevier Inc.
              1556-0864
              1556-1380
              31 March 2020
              June 2020
              31 March 2020
              : 15
              : 6
              : e83-e85
              Affiliations
              [1]Oncology Unit, Azienda Socia Sanitaria Territoriale Ospedale Papa Giovanni XXIII, Bergamo, Lombardia, Italy
              Author notes
              []Address for correspondence: Lucia Bonomi, MD, Oncology Unit, Azienda Socia Sanitaria Territoriale Ospedale Papa Giovanni XXIII Bergamo, Lombardia, Italy. lbonomi@ 123456asst-pg23.it
              Article
              S1556-0864(20)30285-9
              10.1016/j.jtho.2020.03.021
              7270552
              32243919
              e5ab64da-0aec-48c4-8411-2edf0840ab9e
              © 2020 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.

              Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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