Features of 16,749 hospitalised UK patients with COVID-19 using the ISARIC WHO Clinical Characterisation Protocol. Docherty et al, MEDRXIV 2020

PREPRINT: Features of 16,749 hospitalised UK patients with COVID-19 using the ISARIC WHO Clinical Characterisation Protocol.

Docherty et al, MEDRXIV 2020

ABSTRACT: Objective: To characterize the clinical features of patients with severe COVID-19 in the UK. Design: Prospective observational cohort study with rapid data gathering and near real-time analysis, using a pre-approved questionnaire adopted by the WHO.

Setting: 166 UK hospitals between 6th February and 18th April 2020. Participants: 16,749 people with COVID-19. Interventions: No interventions were performed, but with consent samples were taken for research purposes. Many participants were co-enrolled in other interventional studies and clinical trials.

Results: The median age was 72 years [IQR 57, 82; range 0, 104], the median duration of symptoms before admission was 4 days [IQR 1,8] and the median duration of hospital stay was 7 days [IQR 4,12]. The commonest comorbidities were chronic cardiac disease (29%), uncomplicated diabetes (19%), non-asthmatic chronic pulmonary disease (19%) and asthma (14%); 47% had no documented reported comorbidity. Increased age and comorbidities including obesity were associated with a higher probability of mortality. Distinct clusters of symptoms were found: 1. respiratory (cough, sputum, sore throat, runny nose, ear pain, wheeze, and chest pain); 2. systemic (myalgia, joint pain and fatigue); 3. enteric (abdominal pain, vomiting and diarrhoea).

Overall, 49% of patients were discharged alive, 33% have died and 17% continued to receive care at date of reporting. 17% required admission to High Dependency or Intensive Care Units; of these, 31% were discharged alive, 45% died and 24% continued to receive care at the reporting date. Of those receiving mechanical ventilation, 20% were discharged alive, 53% died and 27% remained in hospital. Conclusions: We present the largest detailed description of COVID-19 in Europe, demonstrating the importance of pandemic preparedness and the need to maintain readiness to launch research studies in response to outbreaks. 

Summary: A cohort of approx. 1,000 cancer patients infected with SARS-CoV-2. Marginally higher mortality in cancer patients

Determinants of Severity in Cancer Patients with COVID-19 Illness. Robilotti et al, Medrxiv 2020

PREPRINT: Determinants of Severity in Cancer Patients with COVID-19 Illness.

Robilotti et al, Medrxiv 2020.

ABSTRACT: New York State had 180,458 cases of SARS-CoV-2 and 9385 reported deaths as of April 10th, 2020. Patients with cancer comprised 8.4% of deceased individuals1. Population-based studies from China and Italy suggested a higher COVID-19 death rate in patients with cancer2,3, although there is a knowledge gap as to which aspects of cancer and its treatment confer risk of severe COVID-19 disease4. This information is critical to balance the competing safety considerations of reducing SARS-CoV-2 exposure and cancer treatment continuation.

Since March 10th, 2020 Memorial Sloan Kettering Cancer Center performed diagnostic testing for SARS-CoV-2 in symptomatic patients. Overall, 40% out of 423 patients with cancer were hospitalized for COVID-19 illness, 20% developed severe respiratory illness, including 9% that required mechanical ventilation, and 9% that died. On multivariate analysis, age ≥ 65 years and treatment with immune checkpoint inhibitors (ICI) within 90 days were predictors for hospitalization and severe disease, while receipt of chemotherapy within 30 days and major surgery were not. Overall, COVID-19 illness is associated with higher rates of hospitalization and severe outcomes in patients with cancer. Association between ICI and COVID-19 outcomes will need interrogation in tumor-specific cohorts

Summary: A cohort of 788 cancer patients infected with SARS-CoV-2. Higher rates of hospitalization and severe outcomes in patients with cancer. Age and treatment with immune checkpoint inhibitors within 90 days were predictors of hospitalization. 

OpenSAFELY: factors associated with COVID-19-related hospital death in the linked electronic health records of 17 million adult NHS patients. Williamson et al, Medrxiv 2020

PRE-PRINT: OpenSAFELY: factors associated with COVID-19-related hospital death in the linked electronic health records of 17 million adult NHS patients.

Williamson et al, Medrxiv 2020. 

ABSTRACT: Background Establishing who is at risk from a novel rapidly arising cause of death, and why, requires a new approach to epidemiological research with very large datasets and timely data. Working on behalf of NHS England we therefore set out to deliver a secure and pseudonymised analytics platform inside the data centre of a major primary care electronic health records vendor establishing coverage across detailed primary care records for a substantial proportion of all patients in England.

The following results are preliminary. Data sources Primary care electronic health records managed by the electronic health record vendor TPP, pseudonymously linked to patient-level data from the COVID-19 Patient Notification System (CPNS) for death of hospital inpatients with confirmed COVID-19, using the new OpenSAFELY platform. Population 17,425,445 adults. Time period 1st Feb 2020 to 25th April 2020. Primary outcome Death in hospital among people with confirmed COVID-19. Methods Cohort study analysed by Cox-regression to generate hazard ratios: age and sex adjusted, and multiply adjusted for co-variates selected prospectively on the basis of clinical interest and prior findings.

Results There were 5683 deaths attributed to COVID-19. In summary after full adjustment, death from COVID-19 was strongly associated with: being male (hazard ratio 1.99, 95%CI 1.88-2.10); older age and deprivation (both with a strong gradient); uncontrolled diabetes (HR 2.36 95% CI 2.18-2.56); severe asthma (HR 1.25 CI 1.08-1.44); and various other prior medical conditions. Compared to people with ethnicity recorded as white, black people were at higher risk of death, with only partial attenuation in hazard ratios from the fully adjusted model (age-sex adjusted HR 2.17 95% CI 1.84-2.57; fully adjusted HR 1.71 95% CI 1.44-2.02); with similar findings for Asian people (age-sex adjusted HR 1.95 95% CI 1.73-2.18; fully adjusted HR 1.62 95% CI 1.43-1.82).

Conclusions We have quantified a range of clinical risk factors for death from COVID-19, some of which were not previously well characterised, in the largest cohort study conducted by any country to date. People from Asian and black groups are at markedly increased risk of in-hospital death from COVID-19, and contrary to some prior speculation this is only partially attributable to pre-existing clinical risk factors or deprivation; further research into the drivers of this association is therefore urgently required. Deprivation is also a major risk factor with, again, little of the excess risk explained by co-morbidity or other risk factors. The findings for clinical risk factors are concordant with policies in the UK for protecting those at highest risk. Our OpenSAFELY platform is rapidly adding further NHS patients’ records; we will update and extend these results regularly. 

Summary: A cohort of 1120 cancer patients infected with SARS-CoV-2. Increased risk of mortality if your cancer was diagnosed <1 year (solid organ tumour) <5 years for haematological malignancies. 

Do Patients with Cancer Have a Poorer Prognosis of COVID-19? An Experience in New York City. Miyashita et al, Annals of Oncology, 2020

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

Miyashita et al, Annals of Oncology, 2020.

ABSTRACT: Not applicable- research letter

Summary: A cohort of 334 cancer patients infected with SARS-CoV-2. These patients had similar outcomes to non-cancer patients but with an increased risk of intubation in elderly patients with cancer. 

Patients with cancer appear more vulnerable to SARS-COV-2: a multi-center study during the COVID-19 outbreak, Mengyuan Dai et al Cancer Discovery 2020.

PRE-PRINT: Patients with cancer appear more vulnerable to SARS-COV-2: a multi-center study during the COVID-19 outbreak,

Mengyuan Dai et al Cancer Discovery 2020.

ABSTRACT: The novel COVID-19 outbreak has affected more than 200 countries and territories as of March 2020. Given that patients with cancer are generally more vulnerable to infections, systematic analysis of diverse cohorts of patients with cancer affected by COVID-19 are needed. We performed a multi- center study including 105 cancer patients and 536 age-matched non-cancer patients confirmed with COVID-19.

Our results showed COVID-19 patients with cancer had higher risks in all severe outcomes. Patients with hematological cancer, lung cancer, or with metastatic cancer (stage IV) had the highest frequency of severe events. Non-metastatic cancer patients experienced similar frequencies of severe conditions to those observed in patients without cancer. Patients who received surgery had higher risks of having severe events, while patients with only radiotherapy did not demonstrate significant differences in severe events when compared to patients without cancer. These findings indicate that cancer patients appear more vulnerable to SARS-COV-2 outbreak. 

Summary: A cohort of 105 cancer patients infected with SARS-CoV-2 with increased risk in patients with haematological and lung and metastatic cancers. No increased risk in non-metastatic cancers. 

Clinical characteristics and prognosis in cancer patients with COVID-19: A single center's retrospective study. Ma et al. Journal of Infection 2020

PRE-PRINT: Clinical characteristics and prognosis in cancer patients with COVID-19: A single center’s retrospective study.

Ma et al. Journal of Infection 2020

ABSTRACT: Not applicable- research letter

Summary: A cohort of 39 cancer patients infected with SARS-CoV-2. Higher severity of disease in cancer patients and those who do more poorly have a higher IL-6, LDH and NLR blood test. 

Clinical characteristics of COVID-19-infected cancer patients: a retrospective case study in three hospitals within Wuhan, China. Zhang et al, Annals of Oncology 2020.

PRE-PRINT: Clinical characteristics of COVID-19-infected cancer patients: a retrospective case study in three hospitals within Wuhan, China.

Zhang et al, Annals of Oncology 2020.

ABSTRACT: Background: Cancer patients are regarded as a highly vulnerable group in the current Coronavirus Disease 2019 (COVID-19) pandemic. To date, the clinical characteristics of COVID-19-infected cancer patients remain largely unknown. Patients and methods: In this retrospective cohort study, we included cancer patients with laboratory-confirmed COVID-19 from three designated hospitals in Wuhan, China. Clinical data were collected from medical records from 13 January 2020 to 26 February 2020. Univariate and multivariate analyses were carried out to assess the risk factors associated with severe events defined as a condition requiring admission to an intensive care unit, the use of mechanical ventilation, or death.

Results: A total of 28 COVID-19-infected cancer patients were included; 17 (60.7%) patients were male. Median (interquartile range) age was 65.0 (56.0–70.0) years. Lung cancer was the most frequent cancer type (n = 7; 25.0%). Eight (28.6%) patients were suspected to have hospital-associated transmission. The following clinical features were shown in our cohort: fever (n = 23, 82.1%), dry cough (n = 22, 81%), and dyspnoea (n = 14, 50.0%), along with lymphopaenia (n = 23, 82.1%), high level of high-sensitivity C-reactive protein (n = 23, 82.1%), anaemia (n = 21, 75.0%), and hypoproteinaemia (n = 25, 89.3%). The common chest computed tomography (CT) findings were ground-glass opacity (n = 21, 75.0%) and patchy consolidation (n = 13, 46.3%). A total of 15 (53.6%) patients had severe events and the mortality rate was 28.6%. If the last antitumour treatment was within 14 days, it significantly increased the risk of developing severe events [hazard ratio (HR) = 4.079, 95% confidence interval (CI) 1.086–15.322, P = 0.037]. Furthermore, patchy consolidation on CT on admission was associated with a higher risk of developing severe events (HR = 5.438, 95% CI 1.498–19.748, P = 0.010).

Conclusions: Cancer patients show deteriorating conditions and poor outcomes from the COVID-19 infection. It is recommended that cancer patients receiving antitumour treatments should have vigorous screening for COVID-19 infection and should avoid treatments causing immunosuppression or have their dosages decreased in case of COVID-19 coinfection.

Summary: A cohort of 28 cancer patients infected with SARS-CoV-2. Cancer patients have poor outcomes from COVID-19.

Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China. Liang et al, Lancet Oncology 2020

PRE-PRINT: Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China.

Liang et al, Lancet Oncology 2020

ABSTRACT: Not applicable- research letter

Summary: A cohort of 18 cancer patients infected with SARS-CoV-2 and these patients had a more severe disease course

SARS-CoV-2 Transmission in Patients With Cancer at a Tertiary Care Hospital in Wuhan, China. Yu et al, Jama 2020.

PRE-PRINT: SARS-CoV-2 Transmission in Patients With Cancer at a Tertiary Care Hospital in Wuhan, China.

Yu et al, Jama 2020. 

ABSTRACT: Not applicable- research letter

Summary: A cohort of 12 cancer patients infected with SARS-CoV-2, an infection rate of 0.79% with increased risk in the elderly and those with lung cancer