Cancer or COVID-19? A Review of Guidelines for Safe Cancer Care in the Wake of the Pandemic

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Abstract

In the wake of the COVID-19 pandemic, due to reasons beyond control, health care workers have struggled to deliver treatment for the patients with cancer. The concern for otherwise healthy patients with curable cancers that require timely intervention or therapy is the risk of contracting COVID-19 may outweigh the benefits of cancer treatment. Lack of international guidelines leaves health care providers with a case-to-case approach for delivering optimal cancer care in the wake of the pandemic. Transition to telemedicine has somewhat bridged the gap for in-office visits, but there is a continuing challenge of delays in cancer screening or significant decline of new diagnoses of cancers due to the pandemic. We aim to propose a balance in risk from treatment delay versus risks from COVID-19 with emphasis on treatment modality (surgery, radiation, and systemic therapy) as well as supportive care for cancer patients, and therefore have reviewed the publications and recommendations from international societies and study groups available as of October 2020.

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Clinical Characteristics of Coronavirus Disease 2019 in China

Wei-jie Guan, Zheng-yi Ni, Yu Hu … (2020)

Abstract Background Since December 2019, when coronavirus disease 2019 (Covid-19) emerged in Wuhan city and rapidly spread throughout China, data have been needed on the clinical characteristics of the affected patients. Methods We extracted data regarding 1099 patients with laboratory-confirmed Covid-19 from 552 hospitals in 30 provinces, autonomous regions, and municipalities in mainland China through January 29, 2020. The primary composite end point was admission to an intensive care unit (ICU), the use of mechanical ventilation, or death. Results The median age of the patients was 47 years; 41.9% of the patients were female. The primary composite end point occurred in 67 patients (6.1%), including 5.0% who were admitted to the ICU, 2.3% who underwent invasive mechanical ventilation, and 1.4% who died. Only 1.9% of the patients had a history of direct contact with wildlife. Among nonresidents of Wuhan, 72.3% had contact with residents of Wuhan, including 31.3% who had visited the city. The most common symptoms were fever (43.8% on admission and 88.7% during hospitalization) and cough (67.8%). Diarrhea was uncommon (3.8%). The median incubation period was 4 days (interquartile range, 2 to 7). On admission, ground-glass opacity was the most common radiologic finding on chest computed tomography (CT) (56.4%). No radiographic or CT abnormality was found in 157 of 877 patients (17.9%) with nonsevere disease and in 5 of 173 patients (2.9%) with severe disease. Lymphocytopenia was present in 83.2% of the patients on admission. Conclusions During the first 2 months of the current outbreak, Covid-19 spread rapidly throughout China and caused varying degrees of illness. Patients often presented without fever, and many did not have abnormal radiologic findings. (Funded by the National Health Commission of China and others.)

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Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study

Fei Zhou, Ting Yu, Ronghui Du … (2020)

Summary Background Since December, 2019, Wuhan, China, has experienced an outbreak of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Epidemiological and clinical characteristics of patients with COVID-19 have been reported but risk factors for mortality and a detailed clinical course of illness, including viral shedding, have not been well described. Methods In this retrospective, multicentre cohort study, we included all adult inpatients (≥18 years old) with laboratory-confirmed COVID-19 from Jinyintan Hospital and Wuhan Pulmonary Hospital (Wuhan, China) who had been discharged or had died by Jan 31, 2020. Demographic, clinical, treatment, and laboratory data, including serial samples for viral RNA detection, were extracted from electronic medical records and compared between survivors and non-survivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death. Findings 191 patients (135 from Jinyintan Hospital and 56 from Wuhan Pulmonary Hospital) were included in this study, of whom 137 were discharged and 54 died in hospital. 91 (48%) patients had a comorbidity, with hypertension being the most common (58 [30%] patients), followed by diabetes (36 [19%] patients) and coronary heart disease (15 [8%] patients). Multivariable regression showed increasing odds of in-hospital death associated with older age (odds ratio 1·10, 95% CI 1·03–1·17, per year increase; p=0·0043), higher Sequential Organ Failure Assessment (SOFA) score (5·65, 2·61–12·23; p<0·0001), and d-dimer greater than 1 μg/mL (18·42, 2·64–128·55; p=0·0033) on admission. Median duration of viral shedding was 20·0 days (IQR 17·0–24·0) in survivors, but SARS-CoV-2 was detectable until death in non-survivors. The longest observed duration of viral shedding in survivors was 37 days. Interpretation The potential risk factors of older age, high SOFA score, and d-dimer greater than 1 μg/mL could help clinicians to identify patients with poor prognosis at an early stage. Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future. Funding Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences; National Science Grant for Distinguished Young Scholars; National Key Research and Development Program of China; The Beijing Science and Technology Project; and Major Projects of National Science and Technology on New Drug Creation and Development.

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OpenSAFELY: factors associated with COVID-19 death in 17 million patients

Elizabeth J Williamson, Alex J Walker, Krishnan Bhaskaran … (2020)

COVID-19 has rapidly impacted on mortality worldwide. 1 There is unprecedented urgency to understand who is most at risk of severe outcomes, requiring new approaches for timely analysis of large datasets. Working on behalf of NHS England we created OpenSAFELY: a secure health analytics platform covering 40% of all patients in England, holding patient data within the existing data centre of a major primary care electronic health records vendor. Primary care records of 17,278,392 adults were pseudonymously linked to 10,926 COVID-19 related deaths. COVID-19 related death was associated with: being male (hazard ratio 1.59, 95%CI 1.53-1.65); older age and deprivation (both with a strong gradient); diabetes; severe asthma; and various other medical conditions. Compared to people with white ethnicity, black and South Asian people were at higher risk even after adjustment for other factors (HR 1.48, 1.29-1.69 and 1.45, 1.32-1.58 respectively). We have quantified a range of clinical risk factors for COVID-19 related death in the largest cohort study conducted by any country to date. OpenSAFELY is rapidly adding further patients’ records; we will update and extend results regularly.

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Author and article information

Contributors

Manit K. Gundavda: manit.gundavda@gmail.com

Kaival K. Gundavda: gundavdakaival@gmail.com

Journal

Journal ID (nlm-ta): SN Compr Clin Med

Journal ID (iso-abbrev): SN Compr Clin Med

Title: Sn Comprehensive Clinical Medicine

Publisher: Springer International Publishing (Cham )

ISSN (Electronic): 2523-8973

Publication date (Electronic): 21 November 2020

Pages: 1-11

Affiliations

[1 ]GRID grid.417189.2, Department of Orthopaedic Oncology, , P. D. Hinduja National Hospital and Medical Research Centre, ; Andheri West, Mumbai, Maharashtra 400053 India

[2 ]GRID grid.410871.b, ISNI 0000 0004 1769 5793, Department of Surgical Oncology, , Tata Memorial hospital, ; 93, Ground floor, Main Building, Mumbai, Maharashrta 400012 India

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Publisher ID: 632

DOI: 10.1007/s42399-020-00632-2

PMC ID: 7679239

PubMed ID: 33251481

SO-VID: b5405276-5d81-44a8-ae40-2311320e21b9

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This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

Cancer or COVID-19? A Review of Guidelines for Safe Cancer Care in the Wake of the Pandemic

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Novel Coronavirus Disease COVID-19

Most cited references 87

Clinical Characteristics of Coronavirus Disease 2019 in China

Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study

OpenSAFELY: factors associated with COVID-19 death in 17 million patients

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