Clinical characteristics, outcomes, and risk factors for mortality in patients with cancer and COVID-19 in Hubei, China: a multicentre, retrospective, cohort study

ANMCO POSITION PAPER: cardio-oncology in the COVID era (CO and CO)

The COVID-19 pandemic and its impact on patients with cancer and cardiovascular disease have confirmed the particular vulnerability of these populations. Indeed, not only a higher risk of contracting the infection has been reported but also an increased occurrence of a more severe course and unfavourable outcome. Beyond the direct consequences of COVID-19 infection, the pandemic has an enormous impact on global health systems. Screening programmes and non-urgent tests have been postponed; clinical trials have suffered a setback. Similarly, in the area of cardiology care, a significant decline in STEMI accesses and an increase in cases of late presenting heart attacks with increased mortality and complication rates have been reported. Health care systems must therefore get ready to tackle the 'rebound effect' that will likely show a relative increase in the short- and medium-term incidence of diseases such as heart failure, myocardial infarction, arrhythmias, and cardio- and cerebrovascular complications. Scientific societies are taking action to provide general guidance and recommendations aimed at mitigating the unfavourable outcomes of this pandemic emergency. Cardio-oncology, as an emerging discipline, is more flexible in modulating care pathways and represents a beacon of innovation in the development of multi-specialty patient management. In the era of the COVID-19 pandemic, cardio-oncology has rapidly modified its clinical care pathways and implemented flexible monitoring protocols that include targeted use of cardiac imaging, increased use of biomarkers, and telemedicine systems. The goal of these strategic adjustments is to minimize the risk of infection for providers and patients while maintaining standards of care for the treatment of oncologic and cardiovascular diseases. The aim of this document is to evaluate the impact of the pandemic on the management of cardio-oncologic patients with the-state-of-the-art knowledge about severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease (COVID-19) in order to optimize medical strategies during and after the pandemic.

Can we predict the severe course of COVID-19 - a systematic review and meta-analysis of indicators of clinical outcome?

BACKGROUND

COVID-19 has been reported in over 40million people globally with variable clinical outcomes. In this systematic review and meta-analysis, we assessed demographic, laboratory and clinical indicators as predictors for severe courses of COVID-19.

METHODS

This systematic review was registered at PROSPERO under CRD42020177154. We systematically searched multiple databases (PubMed, Web of Science Core Collection, MedRvix and bioRvix) for publications from December 2019 to May 31st 2020. Random-effects meta-analyses were used to calculate pooled odds ratios and differences of medians between (1) patients admitted to ICU versus non-ICU patients and (2) patients who died versus those who survived. We adapted an existing Cochrane risk-of-bias assessment tool for outcome studies.

RESULTS

Of 6,702 unique citations, we included 88 articles with 69,762 patients. There was concern for bias across all articles included. Age was strongly associated with mortality with a difference of medians (DoM) of 13.15 years (95% confidence interval (CI) 11.37 to 14.94) between those who died and those who survived. We found a clinically relevant difference between non-survivors and survivors for C-reactive protein (CRP; DoM 69.10 mg/L, CI 50.43 to 87.77), lactate dehydrogenase (LDH; DoM 189.49 U/L, CI 155.00 to 223.98), cardiac troponin I (cTnI; DoM 21.88 pg/mL, CI 9.78 to 33.99) and D-Dimer (DoM 1.29mg/L, CI 0.9 to 1.69). Furthermore, cerebrovascular disease was the co-morbidity most strongly associated with mortality (Odds Ratio 3.45, CI 2.42 to 4.91) and ICU admission (Odds Ratio 5.88, CI 2.35 to 14.73).

DISCUSSION

This comprehensive meta-analysis found age, cerebrovascular disease, CRP, LDH and cTnI to be the most important risk-factors that predict severe COVID-19 outcomes and will inform clinical scores to support early decision-making.

Comparison of Associations Between Glucocorticoids Treatment and Mortality in COVID-19 Patients and SARS Patients: A Systematic Review and Meta-Analysis

BACKGROUND

The response to glucocorticoids treatment may be different between coronavirus disease 2019 (Covid-19) and severe acute respiratory syndrome (SARS).

METHODS

In this systematic review and meta-analysis, we searched studies on Medline, Embase, EBSCO, ScienceDirect, Web of Science, Cochrane Library, ClinicalTrials.gov, International Clinical Trials Registry Platform from 2002 to October 7, 2020. We used fixed-effects and random-effects models to compute the risk ratio of death in the group receiving glucocorticoids treatment and the control group for COVID-19 and SARS, respectively.

RESULTS

Ten trials and 71 observational studies, with a total of 45,935 patients, were identified. Glucocorticoids treatment was associated with decreased all-cause mortality both in COVID-19 (risk ratio, 0.88; 95% confidence interval, 0.82-0.94; I2 = 26%) and SARS (0.48; 0.29-0.79; 10%), based on high-quality evidence, as well as decreased all-cause mortality-including composite outcome of COVID-19 (0.89; 0.82-0.98; 0%). In subgroup analyses, all-cause mortality was significantly lower among COVID-19 patients being accompanied by severe ARDS but not mild ARDS, taking low-dose or pulse glucocorticoids, being critically severe but not only severe, being of critical severity and old but not young, being of critical severity and men but not women, non-early taking glucocorticoids, taking dexamethasone or methylprednisolone, and with the increased inflammatory state; but for SARS, lower mortality was observed among those who were taking medium-high dose glucocorticoids, being severe or critically severe, early taking glucocorticoids, and taking methylprednisolone or prednisolone.

CONCLUSIONS

Glucocorticoids treatment reduced mortality in COVID-19 and SARS patients of critical severity; however, different curative effects existed between the two diseases among subpopulations, mainly regarding sex- and age-specific effects, optimal doses, and use timing of glucocorticoids.

One-Year Mortality and Consequences of COVID-19 in Cancer Patients: a Cohort Study

The one-year mortality and health consequences of COVID-19 in cancer patients are relatively underexplored. In this multicenter cohort study, 166 COVID-19 patients with cancer were compared with 498 non-cancer COVID-19 patients and 498 non-COVID cancer patients. The one-year all-cause mortality and hospital mortality rates in Cancer COVID-19 Cohort (30% and 20%) were significantly higher than those in COVID-19 Cohort (9% and 8%, both P<0.001) and Cancer Cohort (16% and 2%, both P<0.001). The 12-month all-cause post-discharge mortality rate in survival discharged Cancer COVID-19 Cohort (8%) was higher than that in COVID-19 Cohort (0.4%, P<0.001) but similar to that in Cancer Cohort (15%, P=0.084). The incidence of sequelae in Cancer COVID-19 Cohort (23%, 26/114) is similar to that in COVID-19 Cohort (30%, 130/432, P=0.13). The 1-year all-cause mortality was high among patients with hematologic malignancies (59%), followed by those who have nasopharyngeal, brain, and skin tumors (45%), digestive system neoplasm (40%), and lung cancers (28%). The rate was moderate among patients with genitourinary (13.6%), female genital (12.5%), breast (10.5%), and thyroid tumors (0). COVID-19 patients with cancer showed a high rate of in-hospital mortality and 1-year all-cause mortality, but the 12-month all-cause post-discharge mortality rate in survival discharged cancer COVID-19 patients was similar to that in Cancer Cohort. Comparing to COVID-19 Cohort, risk stratification showed that hematologic, nasopharyngeal, brain, digestive system, and lung tumors were high risk (44% vs 9%, P<0.001), while genitourinary, female genital, breast, and thyroid tumors had moderate risk (10% vs 9%, P=0.85) in COVID-19 Cancer Cohort. Different tumor subtypes had different effects on COVID-19. But if cancer patients with COVID-19 manage to survive their COVID-19 infections, then long-term mortality appears to be similar to the cancer patients without COVID-19, and their long-term clinical sequelae were similar to the COVID-19 patients without cancer.

Could Immunonutrition Help in the Fight against COVID-19 in Cancer Patient?

The rapid and widespread global pandemic of 2019 coronavirus disease (COVID-19) has had unprecedented negative health and economic impacts. Immune responses play a key role in the development of COVID-19, including the disruption of immune balance and cytokine storms caused by excessive inflammatory responses. Due to the effects of cancer itself and treatment, patients often accompanied by immunosuppression appear to be a susceptible population for COVID-19. Worryingly, COVID-19 with cancer is associated with a poor prognosis. Cancer patients are a vulnerable group, threatened by COVID-19, finding a way to combat COVID-19 for them is urgent. Immunonutrition is closely related to balance and strong immune function. Supplementary immunonutrition can improve the immune function and inflammatory response of cancer patients after surgery, which provides evidence for the role of immunonutrition in combating COVID-19. We reviewed possible mechanisms of immunonutrition against COVID-19, including enhancing immune cell function, increasing immune cell count, ameliorating excessive inflammatory response, and regulating gut microbiota. Immunonutrition supplementation in cancer patients may be beneficial to enhance immune function in the early stage of COVID-19 infection and control excessive inflammatory response in the late stage. Therefore, immunonutrition is a potential strategy for the prevention and treatment of COVID-19 in cancer.

Impact of the COVID-19 pandemic on the management of chronic noninfectious respiratory diseases

Introduction: The COVID-19 pandemic has challenged health care across the world, not just by the severity of the disease and the high mortality rate but also by the consequences on the management of the patients with chronic diseases.Areas covered: This review summarizes the most up-to-date published data regarding the impact of COVID-19 on the management and outcomes of patients with chronic noninfectious respiratory illnesses including obstructive sleep apnea, asthma, chronic obstructive pulmonary disease, bronchiectasis, interstitial and pulmonary vascular diseases, and lung cancer.Expert opinion: Most of chronic respiratory diseases (except asthma and cystic fibrosis) are associated with more severe COVID-19 and poor outcomes but the mechanisms involved are not yet identified. The therapeutic management of the patients with chronic respiratory diseases and COVID-19 is similar to the other patients but the post-recovery course could be worse in this population and followed by the development of pulmonary fibrosis, bronchiectasis, and pulmonary hypertension. The pandemic highly impacted our usual medical activities by limiting the access to several diagnosis procedures, the necessity to develop new methods for the monitoring of the disease and adapt the therapeutic strategies. The long-term consequences of all these changes are still unknown.

Chemotherapy resumption in breast cancer patient after COVID-19

BACKGROUND

While many studies have verified the effect of recent anti-cancer treatment in patients with COVID-19, there are no data on the optimal time for cancer treatment resumption, as well as the safety of chemotherapy in COVID-19 patients. As many cancer patients are recovering from COVID-19, there is an urgent need for reliable clinical information. Herein, we report a case of invasive ductal carcinoma in which we were able to successfully resume chemotherapy after infection with SAR-CoV-2.

CASE PRESENTATION

The patient was a 38-year-old non-smoking Japanese woman with no significant medical history. She had fever on days 5 and 6 of her second course of adjuvant FEC therapy, and on day 7, she tested positive for SARS-CoV-2 by RT-PCR. She was hospitalized for 11 days. We resumed the therapy on day 25 after discharge, as she had no remaining clinical symptoms. The patient completed four courses of the initial chemotherapy without any major adverse events nor the recurrence of COVID-19, and subsequently completed four courses of docetaxel as her second regimen therapy.

CONCLUSIONS

Evaluating the risk for each patient is essential when resuming anti-cancer therapy in cancer patient's post-COVID-19.

Clinical characteristics, risk factors, and cardiac manifestations of cancer patients with COVID-19

Coronavirus disease 2019 (COVID-19) due to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has been associated with cardiovascular features, which may be deteriorated in patients with cancer. However, cardiac outcomes of cancer patients with COVID-19 have not been closely examined. We retrospectively assessed 1,244 patients with COVID-19 from February 1 to August 31, 2020 (140 cancer and 1,104 noncancer patients). Demographic and clinical data were obtained and compared between cancer and noncancer groups. Including the cardiac biomarkers, we also analyzed laboratory findings between these two groups. Risk factors for in-hospital mortality were identified by multivariable Cox regression models. For cancer group, 56% were in severe and critical status with more diabetes and immune deficiency, whereas the proportion was 10% for noncancer group. Patients with cancer had increased levels of leukocyte, neutrophil count, and blood urea nitrogen (BUN) (all P < 0.01), whereas lymphocyte count was significantly lower (P < 0.001). The most common solid tumor types were gastrointestinal cancer (26%), lung cancer (21%), and breast and reproductive cancer (both 19%). There is a rising for cardiac biomarkers, including pro-B-type natriuretic peptide (Pro-BNP), sensitive troponin I (cTnI), myoglobin (MYO), creatine kinase-MB (CK-MB), as well as D-Dimer in COVID-19 cancer population, especially in deceased subjects with cancer. The 30-day in-hospital mortality in cancer group was dramatically raised than that in noncancer group (12.9% vs. 4.0%, P < 0.01). In multivariable Cox regression models, fever, disease severity status, and underlying diseases were risk factors for mortality. COVID-19 patients with cancer relate to deteriorating conditions and poor cardiac outcomes accompanied by a high in-hospital mortality, which warrants more aggressive treatment.

NEW & NOTEWORTHY Our study indicates that the 30-day mortality is higher in COVID-19 patients with cancer; more COVID-19 patients with cancer are in severe and critical status; age, respiratory rate, neutrophil count, AST, BUN, MYO, Pro-BNP, disease severity status, underlying diseases, and fever are risk factors for in-hospital mortality among COVID-19 cancer cases; COVID-19 patients with cancer display severely impaired myocardium, damaged heart function, and imbalanced homeostasis of coagulation; what is more, those with both cancer and CVD have more significantly increased Pro-BNP and D-Dimer level.

The dynamics of inflammatory markers in coronavirus disease-2019 (COVID-19) patients: A systematic review and meta-analysis

BACKGROUND

Coronavirus disease-2019 (COVID-19) is a global pandemic and high mortality rate among severe or critical COVID-19 is linked with SARS-CoV-2 infection-induced hyperinflammation of the innate and adaptive immune systems and the resulting cytokine storm. This paper attempts to conduct a systematic review and meta-analysis of published articles, to evaluate the association of inflammatory parameters with the severity and mortality in COVID-19 patients.

METHODS

A comprehensive systematic literature search of medical electronic databases including Pubmed/Medline, Europe PMC, and Google Scholar was performed for relevant data published from January 1, 2020 to June 26, 2020. Observational studies reporting clear extractable data on inflammatory parameters in laboratory-confirmed COVID-19 patients were included. Screening of articles, data extraction and quality assessment were carried out by two authors independently. Standardized mean difference (SMD)/mean difference (MD/WMD) and 95% confidence intervals (CIs) were calculated using random or fixed-effects models.

RESULTS

A total of 83 studies were included in the meta-analysis. Of which, 54 studies were grouped by severity, 25 studies were grouped by mortality, and 04 studies were grouped by both severity and mortality. Random effect model results demonstrated that patients with severe COVID-19 group had significantly higher levels of C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), procalcitonin (PCT), interleukin-6 (IL-6), interleukin-10 (IL-10), interleukin-2R (IL-2R), serum amyloid A (SAA) and neutrophil-to-lymphocyte ratio (NLR) compared to those in the non-severe group. Similarly, the fixed-effect model revealed significant higher ferritin level in the severe group when compared with the non-severe group. Furthermore, the random effect model results demonstrated that the non-survivor group had significantly higher levels of CRP, PCT, IL-6, ferritin, and NLR when compared with the survivor group.

CONCLUSION

In conclusion, the measurement of these inflammatory parameters could help the physicians to rapidly identify severe COVID-19 patients, hence facilitating the early initiation of effective treatment.

PROSPERO REGISTRATION NUMBER

CRD42020193169.

Mortality in adult patients with solid or hematological malignancies and SARS-CoV-2 infection with a specific focus on lung and breast cancers: A systematic review and meta-analysis

BACKGROUND

A systematic review and meta-analysis was performed to estimate mortality in adult patients with solid or hematological malignancies and SARS-CoV-2 infection.

METHODS

A systematic search of PubMed, up to 31 January 2021, identified publications reporting the case-fatality rate (CFR) among adult patients with solid or hematological malignancies and SARS-CoV-2 infection. The CFR, defined as the rate of death in this population, was assessed with a random effect model; 95% confidence intervals (CI) were calculated.

RESULTS

Among 135 selected studies (N = 33,879 patients), the CFR was 25.4% (95% CI 22.9%-28.2%). At a sensitivity analysis including studies with at least 100 patients, the CFR was 21.9% (95% CI 19.1%-25.1%). Among COVID-19 patients with lung (N = 1,135) and breast (N = 1,296) cancers, CFR were 32.4% (95% CI 26.5%-39.6%) and 14.2% (95% CI 9.3%-21.8%), respectively.

CONCLUSIONS

Patients with solid or hematological malignancies and SARS-CoV-2 infection have a high probability of mortality, with comparatively higher and lower CFRs in patients with lung and breast cancers, respectively.

Preinfection laboratory parameters may predict COVID-19 severity in tumor patients

BACKGROUND

Infection with SARS-CoV-2 leads to COVID-19, the course of which is highly variable and depends on numerous patient-specific risk factors. Patients with tumor diseases are considered to be more susceptible to severe COVID-19; however, they also represent a heterogeneous group of individuals with variable risk. Identifying specific risk factors for a severe course of COVID-19 in patients with cancer is of great importance.

METHODS

Patients diagnosed with solid tumors or hematological malignancies and PCR-confirmed SARS-CoV-2 infection were included into the multicentric ADHOK (Arbeitsgemeinschaft der Hämatologen und Onkologen im Krankenhaus e.V.) coronavirus tumor registry. Detailed information about the patients' cancer disease, treatment, and laboratory parameters prior to infection, was collected retrospectively. The outcome of the SARS-CoV-2 infection was graded according to the WHO.

RESULTS

A total of 195 patients (68% with solid neoplasms and 32% with hematological malignancies) were included in the registry. Overall, the course of the SARS-CoV-2 infection varied greatly, as 69% of all patients were either asymptomatic or encountered a mild to moderate course, while 23% of the cohort died from COVID-19. In multivariable analysis, preinfection laboratory parameters (determined at least 10 days and a median of 21 days before the first documentation of SARS-CoV-2 infection) significantly correlated with severe course of the disease. Out of these, the absolute neutrophil count prior to infection showed the strongest association with COVID-19-related death.

CONCLUSION

The course of COVID-19 in patients with tumor diseases is highly variable. Preinfection laboratory parameters may aid to identify patients at risk for severe COVID-19 at an early stage prior to infection with the virus. German Clinical Trials Register identification: DRKS00023012.

Prevalence and impact of comorbidities on disease prognosis among patients with COVID-19 in Bangladesh: A nationwide study amid the second wave

BACKGROUND

Socio-demographics and comorbidities are involved in determining the severity and fatality in patients with COVID-19 suggested by studies in various countries, but study in Bangladesh is insufficient.

AIMS

We designed the study to evaluate the association of sociodemographic and comorbidities with the prognosis of adverse health outcomes in patients with COVID-19 in Bangladesh.

METHODS

A multivariate retrospective cohort study was conducted on data from 966 RT-PCR positive patients from eight divisions during December 13, 2020, to February 13, 2021. Variables included sociodemographic, comorbidities, symptoms, Charlson comorbidity index (CCI) and access to health facilities. Major outcome was fatality. Secondary outcomes included hospitalization, duration of hospital stay, requirement of mechanical ventilation and severity.

RESULTS

Male (65.8%, 636 of 966) was predominant and mean age was 39.8 ± 12.6 years. Fever (79%), dry cough (55%), and loss of test/smell (51%) were frequent and 74% patients had >3 symptoms. Fatality was recorded in 10.5% patients. Comorbidities were found in 44% patients. Hypertension (21.5%) diabetes (14.6%), and cardiovascular diseases (11.3%) were most prevalent. Age >60 years (OR: 4.83, 95% CI: 2.45-6.49), and CCI >3 (OR: 5.48, 95% CI: 3.95-7.24) were predictors of hospitalizations. CCI >4 (aOR: 3.41, 95% CI: 2.57-6.09) was predictor of severity. Age >60 years (aOR: 3.77, 95% CI: 1.07-6.34), >3 symptoms (aOR: 2.14, 95% CI: 0.97-4.91) and CCI >3 vs. CCI <3 (aOR: 5.23, 95% CI: 3.77-8.09) were independently associated with fatality.

CONCLUSIONS

Increased age, >3 symptoms, increasing comorbidities, higher CCI were associated with increased hospitalization, severity and fatality in patients with COVID-19.

Indications for and contraindications of immune checkpoint inhibitors in cancer patients with COVID-19 vaccination

The novel coronavirus disease 2019 (COVID-19) pandemic has lasted over 1 year and will not disappear in a short time. There is no specific remedy against the virus as yet. Vaccination is thus far one of the most important strategies for preventing COVID-19. Cancer patients with COVID-19 have a higher mortality because of immunosuppression. Immune checkpoint inhibitors (ICIs) are a novel anticancer strategy for blocking inhibitory pathways, which are related to the immune response. There is a question regarding whether COVID-19 vaccination and ICI treatment impact each other in cancer patients. This review explores both sides of the relationship between ICI treatment and COVID-19 vaccination and suggests good efficacy and safety of ICI treatment after COVID-19 vaccination as well as little impact on the virus protection and toxicity associated with COVID-19 vaccination during ICI treatment.

The novel coronavirus disease 2019 (COVID-19) pandemic has lasted over 1 year. Vaccination is a promising strategy for preventing COVID-19. Cancer patients are prone to infection with COVID-19, and these patients have high mortality. Immune checkpoint inhibitors (ICIs) are a novel anticancer strategy. Whether COVID-19 vaccination and ICI treatment impact each other in cancer patients remains unknown. This review explores both sides of the relationship between ICI treatment and COVID-19 vaccination and suggests good efficacy and safety of ICI treatment after COVID-19 vaccination as well as little impact on the virus protection and toxicity associated with COVID-19 vaccination during ICI treatment.

Low symptomatic COVID-19 in an elderly patient with follicular lymphoma treated with rituximab-based immunotherapy: A case report

BACKGROUND

Follicular lymphoma is an indolent lymphoma that may progress to a highly aggressive form requiring immunochemotherapy. Most regimens utilize rituximab, an anti-CD20 monoclonal antibody, which may affect the clinical course of novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections [coronavirus disease 2019 (COVID-19)]. Here we describe the first case of mild COVID-19 during ongoing oncological treatment without significant deterioration after rituximab administration.

CASE SUMMARY

A 74-year-old female with an enlargement of her right palatine tonsil was diagnosed with follicular lymphoma following tonsillectomy and started immunochemotherapy according to the rituximab, cyclophosphamide, vincristine, prednisone regimen. At home before the fourth cycle, she developed nonspecific symptoms (excessive fatigue, loss of appetite and nausea), misdiagnosed as adverse effects of chemotherapy. Unexpectedly, interim positron emission tomography-computed tomography scan, performed shortly before rituximab administration, revealed previously nonexistent pulmonary changes, potentially of infectious etiology. SARS-CoV-2 infection was confirmed by a nasopharyngeal swab (with reverse transcriptase polymerase chain reaction test) performed the following day. Despite rituximab infusion, the patient remained oligosymptomatic and was discharged home for self-isolation. Having reached a negative SARS-CoV-2 status before the subsequently scheduled regimen, the patient successfully received six cycles of rituximab, cyclophosphamide, vincristine, prednisone and obtained complete remission by positron emission tomography-computed tomography.

CONCLUSION

Our case shows that rituximab-based immunotherapy due to follicular lymphoma may have no evident negative effect on the COVID-19 clinical course.

Clinical characteristics and risk factors associated with nosocomial COVID-19 infection in patients with hematological disorders in Japan

Patients with cancer are considered at high risk of acquiring coronavirus disease (COVID-19). To identify patients who are likely to be diagnosed with severe COVID-19, we analyzed the risk factors for mortality in patients admitted to the hematology department at our institute. The mortality rate of all patients was as high as 62% (21 of the 34 patients), and most of these patients had malignant malignancies. Patients before an achievement of remission had a 10.8-fold higher risk of death than those in remission. The group receiving chemotherapy with steroids had a shorter survival time and had an 8.3-fold higher risk of death than that receiving chemotherapy without steroids. During the COVID-19 pandemic, it is necessary to carefully monitor or follow-up patients with active diseases and patients receiving steroid-containing chemotherapy.

Impact of SARS-CoV-2 Pandemic on Kidney Cancer Management

BACKGROUND: The SARS-CoV-2 pandemic still has a huge impact on the management of many chronic diseases such as cancer. Few data are presently available reagarding how the management of renal cell carcinoma (RCC) has changed due to this unprecedented situation. OBJECTIVE: To discuss the challenges and issues of the diagnosis and treatment of RCC in the COVID-19 era, and to provide recommendations based on the collected literature and our personal experience. METHODS: Systematic review of the available Literature regarding the management of RCC during the SARS-CoV-2 pandemic. RESULTS: Our review showed a prevalence of narrative publications, raising the issue of the real relevance of the evidence retrieved. Indeed, the only original data about RCC and COVID-19 found were a small retrospective case series and two surveys, providing either patients’ or physicians’ viewpoints. CONCLUSIONS: The expected delayed diagnosis of RCC could lead to an increase of advanced/metastatic cases; thus, proper therapeutic choices for patients with small renal masses should be carefully evaluated case by case, in order to avoid negative effects on long-term survival rates. The controversial interaction between immune checkpoint blockade and COVID-19 pathogenesis is more hypothetical than evidence-based, and thus immunotherapy should not be denied, whenever appropriate. To avoid treatments which won’t have an impact on patients’ survival, a honest and accurate evaluation of the cost/benefit ratio of each treatment option should be always performed. Finally, SARS-CoV-2 swab positivity should not prevent the continuation of ongoing active treatments in asymptomatic cases, or or after symptoms’ resolution.

The demographic characteristics, prognosis, and relationship with cancer subtypes of hospitalized COVID-19 patients with malignancy: A single-center experience

Undoubtedly, cancer patients have suffered the most from the COVID-19 pandemic process. However, cancer is a heterogeneous disease, and each patient has responded differently to COVID-19. We aimed to describe the clinical characteristics and outcomes of patients with cancer and COVID-19. We retrospectively reviewed 45 cancer patients hospitalized in the Cerrahpaşa Medical Faculty COVID-19 department from March 23 to October 23, 2020. We analyzed the demographic characteristics, symptoms, laboratory findings, treatment, prognosis, and cancer subtypes of patients and mortality who were hospitalized for COVID-19. Between March 23 and October 23, 2020, 45 hospitalized cancer patients who had laboratory-confirmed COVID-19 infection were included, with a median age of 60 years (range: 23-92). Patients were divided into two groups a survivor and a non-survivor. Symptoms, demographic information, comorbidities, treatments for COVID-19, and laboratory findings of the two groups were evaluated separately. Two parameters were found, which showed a significant difference between non-survivors and survivors displaying a disadvantage for COPD and low platelet count (p = 0.044-0.038). The mortality rate of all patients was 66%. The presence of comorbidities such as COPD and low platelet count in cancer patients with COVID-19 infection may draw the attention of physicians.

Characteristics and outcomes of cancer patients with covid-19 at a safety-net hospital

Patients with cancer are a vulnerable population during the COVID-19 pandemic due to underlying immunosuppression, pre-existing comorbidities, and poor nutrition. There is a lack of data describing the disease course of cancer patients with COVID-19 disease. Therefore, we analyzed data from cancer patients with COVID-19 who were admitted to our hospital. Cancer patients were categorized into two groups as survivors and non-survivors of COVID-19. Among 68 cancer patients with COVID-19, 27% of patients were admitted to ICU, and 37% of the patients died. The median age was 72, and non-survivors were older than survivors (p = 0.001). Non-survivors had higher comorbidity scores, late-stage cancer, and worse ECOG performance status than survivors (all p values<0.005). Non-survivors also had significantly lower lymphocyte count and albumin level but higher lactate dehydrogenase, C-reactive protein, fibrinogen, troponin, and ferritin levels than survivors. On multivariable analysis, increased age and mechanical ventilation were associated with increased odds of death. We report no association between anti-cancer treatments and mortality from COVID-19 disease. In summary, cancer patients have higher mortality of COVID-19 infection than the general population. In addition to generally known risk factors, the high mortality rate in cancer patients with COVID-19 is associated with several cancer-specific factors.

COVID-19 Vaccination in Patients with Classic Kaposi's Sarcoma

The novel coronavirus disease 2019 (COVID-19) has represented an overwhelming challenge for worldwide health systems. Patients with cancer are considered at higher risk for severe COVID-19 and increased mortality in case of infection. Although data on the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination in patients with cancer are limited, there is enough evidence supporting anti-infective vaccination in general in patients with active cancer, or with history of previous malignancy. Subjects with classic Kaposi's sarcoma (KS) represent a small subset of cancer patients, which should be considered at heightened risk for infections due to several factors including age, and impaired immune function status. Several cases of human herpesviruses reactivation among critically ill COVID-19 patients have been described. Moreover, in case of severe infection and treatment with immunomodulating agents, patients with CKS are exposed at significant risk of viral reactivation and disease progression. Considering the baseline clinical risk factors of patients with CKS, and the complex interplay of the two viral agents, SARS-CoV-2 vaccination should be strongly recommended among patients with KS. KS represents an interesting field to study the interactions among chronic viral infections, SARS-CoV-2 and the host's immune system. Prospective observational studies are needed to provide more insights on vaccine activity and safety among patients with cancer, optimal vaccine schedules, potential interactions with antineoplastic therapies, and other comorbidities including chronic viral infections.

COVID-19 outcomes in hospitalized patients with active cancer: Experiences from a major New York City health care system

Background

The authors sought to study the risk factors associated with severe outcomes in hospitalized coronavirus disease 2019 (COVID‐19) patients with cancer.

Methods

The authors queried the New York University Langone Medical Center's records for hospitalized patients who were polymerase chain reaction–positive for severe acute respiratory syndrome coronavirus 2 (SARS CoV‐2) and performed chart reviews on patients with cancer diagnoses to identify patients with active cancer and patients with a history of cancer. Descriptive statistics were calculated and multivariable logistic regression was used to determine associations between clinical, demographic, and laboratory characteristics with outcomes, including death and admission to the intensive care unit.

Results

A total of 4184 hospitalized SARS CoV‐2+ patients, including 233 with active cancer, were identified. Patients with active cancer were more likely to die than those with a history of cancer and those without any cancer history (34.3% vs 27.6% vs 20%, respectively; P < .01). In multivariable regression among all patients, active cancer (odds ratio [OR], 1.89; CI, 1.34‐2.67; P < .01), older age (OR, 1.06; CI, 1.05‐1.06; P < .01), male sex (OR for female vs male, 0.70; CI, 0.58‐0.84; P < .01), diabetes (OR, 1.26; CI, 1.04‐1.53; P = .02), morbidly obese body mass index (OR, 1.87; CI, 1.24‐2.81; P < .01), and elevated D‐dimer (OR, 6.41 for value >2300; CI, 4.75‐8.66; P < .01) were associated with increased mortality. Recent cancer‐directed medical therapy was not associated with death in multivariable analysis. Among patients with active cancer, those with a hematologic malignancy had the highest mortality rate in comparison with other cancer types (47.83% vs 28.66%; P < .01).

Conclusions

The authors found that patients with an active cancer diagnosis were more likely to die from COVID‐19. Those with hematologic malignancies were at the highest risk of death. Patients receiving cancer‐directed therapy within 3 months before hospitalization had no overall increased risk of death.

Lay Summary

Our investigators found that hospitalized patients with active cancer were more likely to die from coronavirus disease 2019 (COVID‐19) than those with a history of cancer and those without any cancer history.

Patients with hematologic cancers were the most likely among patients with cancer to die from COVID‐19.

Patients who received cancer therapy within 3 months before hospitalization did not have an increased risk of death.

Investigators have found that hospitalized patients with active cancer are more likely to die from coronavirus disease 2019 than those with a history of cancer and those without any cancer history. Patients who receive antineoplastic medications at least 3 months before hospitalization have no overall increased risk of death.

Nutrition in Cancer Patients Positive for COVID-19; Case Series and a Systematic Review of Literature

Cancer is making patients vulnerable to diseases by impairing immunity directly or by anticancer therapy. In COVID-19 era, it is mandatory to face cancer with more organized & prompter response. Nutrition plays an important role in prevention & management of cancer patients. The objective of this study is to understand the role of nutrition in cancer patients during Corvid 19 era. We conducted literature searches till May 2020, electronic databases, evidence-based collections, relevant websites and trial registries about SARS-CoV2/COVID-19 and nutrition in cancer patients. Search generated 836 sources; 83/836 sources were relevant. This review summarized role of nutrition in predisposition, prevention and management of COVID-19 in cancer patient and role of vitamins, mineral supplements and microbiota in era of COVID-19. In this review, implementing appropriate nutritional care with vitamins or mineral supplementation & their effect on outcome remain largely unknown. COVID co-infection with cancer whether under chemotherapy or not have worse outcome especially in male adults. Findings may help in creating recommendations on nutritional protocol of management & prevention of complications during ongoing COVID-19 pandemic for all cancer patients.

Business as unusual: medical oncology services adapt and deliver during COVID-19

BACKGROUND

The COVID-19 pandemic has challenged cancer care globally, introducing resource limitations and competing risks into clinical practice.

AIMS

To describe the COVID-19 impact on medical oncology care provision in an Australian setting.

METHODS

Calvary Mater Newcastle and Newcastle Private Hospital medical oncology data from 1 February to 31 April 2019 versus 2020 were retrospectively analysed.

RESULTS

Three hundred and sixty-four inpatient admissions occurred in 2020, 21% less than in 2019. Total inpatient days decreased by 22% (2842 vs 2203). April was most impacted (36% and 44% fewer admissions and inpatient days respectively). Mean length of stay remained unchanged (6.4 vs 6.2 days, P = 0.7). In all, 5072 outpatient consultations were conducted, including 417 new-patient consultations (4% and 6% increase on 2019 respectively). Telephone consultations (0 vs 1380) replaced one-quarter of face-to-face consultations (4859 vs 3623, -25%), with minimal telehealth use (6 vs 69). Day Treatment Centre encounters remained stable (3751 vs 3444, -8%). The proportion of new patients planned for palliative treatment decreased (35% vs 28%, P = 0.04), observation increased (16% vs 23%, P = 0.04) and curative intent treatment was unchanged (both 41%). Recruiting clinical trials decreased by one-third (45 vs 30), two trials were activated (vs 5 in 2019) and 45% fewer patients consented to trial participation (62 vs 34).

CONCLUSION

Our medical oncology teams adapted rapidly to COVID-19 with significant changes to care provision, including fewer hospital admissions, a notable transition to telephone-based outpatient clinics and reduced clinical trial activity. The continuum of care was largely defended despite pandemic considerations and growing service volumes.

Clinical outcomes of patients hospitalized for COVID-19 and evidence-based on the pharmacological management reduce mortality in a region of the Colombian Caribbean

INTRODUCTION

Despite the high volume of infections, some clinical aspects of this disease are still unknown. There are currently no studies in Colombia that describe the disease's clinical and treatment aspects in detail.

OBJECTIVE

Describe the characteristics and clinical management of a group of admitted patients with SARS-CoV-2 infection in a private clinic in Montería, Córdoba-Colombia.

PATIENTS AND METHODS

A descriptive observational study was carried out between May and August 2020 in 209 hospitalized patients with a confirmed diagnosis of COVID-19. Upon admittance, clinical, sociodemographic characteristics, comorbidities, and complications were analyzed. Additionally, the effect of the following medications was described: 1-antibiotics (cefepime, piperacillin, tazobactam, meropenem, vancomycin) + low molecular weight heparin (LMWH) + corticosteroids (dexamethasone-methylprednisolone) + colchicine. 2- Antibiotic + LMWH + corticosteroids. 3-LMWH + corticosteroids. 4-LMWH + corticosteroids + colchicine. 5-Other treatments (Tocilizumab).

RESULTS

107 (51%) of the 209 patients with a confirmed diagnosis of COVID-19 passed away. The main comorbidities related to mortality of these hospitalized patients with COVID-19 were obesity and kidney disease (P < 0.05). The main complications associated with fatal outcomes in this group of patients were Acute Respiratory Distress Syndrome (ARDS) and sepsis (P < 0.05). Furthermore, it was evidenced that the colchicine combination showed a significant difference in reducing mortality in hospitalized patients compared to the other therapeutic regimens (P < 0.05).

CONCLUSION

A mortality rate of 51% was found attributable to several factors such as advanced age, obesity, kidney disease, and an average time in days of late consultation. The implementation of the colchicine combination could reduce the mortality rate in this disease.

Clinical presentations and outcomes of children with cancer and COVID-19: A systematic review

Information regarding the novel coronavirus disease (COVID-19) in pediatric oncology is limited. We conducted a systematic review of the available published literature on children with cancer affected by COVID-19. The last date of the study search was October 20, 2020, and 33 studies comprising 226 children were included for the final analysis. Data were extracted in a predefined data collection form, and the variables were extracted and analyzed. Patients with hematological malignancies were more in number. Males and children on intensive treatment were more frequently affected. Fever was the commonest symptom. The disease was asymptomatic/mild in 48% and severe in 9.6%. Consolidation, peribronchial cuffing, and consolidation with ground glass opacities were the common imaging findings. Hydroxychloroquine was the most frequently used drug for COVID-19. About 10% of children required intensive care, and about 32% had oxygen requirements. The percentage of children who died due to COVID-19 was 4.9%. The severity, morbidity, and mortality of COVID-19 in pediatric oncology were more compared to the general pediatric population. This information can help in risk stratification for the management of COVID-19.

Insights into SARS-CoV-2 Persistence and Its Relevance

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causative agent of coronavirus disease 2019 (COVID-19), continues to wreak havoc, threatening the public health services and imposing economic collapse worldwide. Tailoring public health responses to the SARS-CoV-2 pandemic depends on understanding the mechanism of viral replication, disease pathogenesis, accurately identifying acute infections, and mapping the spreading risk of hotspots across the globe. However, effective identification and isolation of persons with asymptomatic and mild SARS-CoV-2 infections remain the major obstacles to efforts in controlling the SARS-CoV-2 spread and hence the pandemic. Understanding the mechanism of persistent viral shedding, reinfection, and the post-acute sequalae of SARS-CoV-2 infection (PASC) is crucial in our efforts to combat the pandemic and provide better care and rehabilitation to survivors. Here, we present a living literature review (January 2020 through 15 March 2021) on SARS-CoV-2 viral persistence, reinfection, and PASC. We also highlight potential areas of research to uncover putative links between viral persistence, intra-host evolution, host immune status, and protective immunity to guide and direct future basic science and clinical research priorities.

Clinical Features and Disease Course of Cancer Patients Infected with SARS-CoV-2 During Anticancer Treatments

Background: Cancer patients infected with SARS-CoV-2 during their active anticancer treatment represent a highly vulnerable population. We aimed this investigation to show clinical features and outcomes of the patients who had mild to moderate COVID-19 symptoms or were asymptomatic at the admission to the COVID Center.

Patients and methods: The retrospective study included 25 cancer patients confirmed with SARS-CoV-2 within seven days of their last anticancer treatment. Clinical data were collected from medical records and processed by methods of descriptive and inferential statistics.

Results: Patients’ mean age was 68.1±10.4 years. More than 2/3 of the patients were with ECOG PS 0 and 1, and about 4/5 of patients were in III or IV cancer stage. The most frequently applied types of therapy were radiotherapy and combined radio/chemotherapy. Eleven (44.0%) patients had bilateral while 4 (16%) had unilateral pneumonia. The most frequent symptoms were fever (72%), fatigue (72%), dyspnea (32%), and cough (32%). 1/5 of the patients needed oxygen support. Mean neutrophil (2.6±1.2), lymphocyte (0.9±0.6) and platelets (200.1±88.1) number significantly increased from admission to discharge (p=0.004, p=0.005, p<0.001). Median CRP significantly decreased from 40.4 (6.2-96.2) at admission to 11.35 (3.75-27.65) at discharge (p=0.008). Twenty-four patients were cured, and one patient died. Naso-pharyngeal SARS-CoV-2 clearance time was 19.4±6.9 days; the minimum was seven, and the maximum was 39 days.

Conclusion: Cancer patients infected with SARS-CoV-2 during active anticancer treatment can successfully overcome COVID-19 without developing further respiratory or other complications during hospitalization. An increase in lymphocyte and neutrophil counts, with a decrease in CRP, may be markers of a favorable prognosis.

Clinical Significance of Plasma D-Dimer in COVID-19 Mortality

It is not clear whether D-dimer can be an independent predictor of coronavirus disease 2019 (COVID-19) mortality, and the cut-off of D-dimer for clinical use remains to be determined. Therefore, a comprehensive analysis is still necessary to illuminate the clinical significance of plasma D-dimer in COVID-19 mortality. We searched PubMed, Embase, Cochrane Library, and Scopus databases until November 2020. STATA software was used for all the statistical analyses. The identifier of systematic review registration was PROSPERO CRD42020220927. A total of 66 studies involving 40,614 COVID-19 patients were included in our meta-analysis. Pooled data showed that patients in high D-dimer group had poor prognosis than those in low D-dimer group [OR = 4.52, 95% CI = (3.61, 5.67), P < 0.001; HR = 2.81, 95% CI = (1.85, 4.27), P < 0.001]. Sensitivity analysis, pooled data based on different effect models and the Duval and Tweedie trim-and-fill method did not change the conclusions. Subgroup analyses stratified by different countries, cutoffs, sample size, study design, and analysis of OR/HR still keep consistent conclusions. D-dimer was identified as an independent predictor for COVID-19 mortality. A series of values including 0.5 μg/ml, 1 μg/ml, and 2 μg/ml could be determined as cutoff of D-dimer for clinic use. Measurement and monitoring of D-dimer might assist clinicians to take immediate medical actions and predict the prognosis of COVID-19.

Clinical Characteristics of COVID-19-Infected Cancer Patients in Pakistan: Differences Between Survivors and Non-Survivors

Background

Cancer patients are considered as highly vulnerable individuals in the current COVID-19 pandemic. We studied the clinical characteristics of survivor and non-survivor COVID-19-infected cancer patients in Pakistan.

Patients and Methods

We did a retrospective study of 70 cancer patients with PCR-confirmed COVID-19 infection from Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore and Peshawar, Pakistan between April 13 and July 09, 2020. These patients were discharged from the hospital or had died by July 09, 2020. Clinical, pathological and radiological characteristics were compared between survivors and non-survivors by fisher's exact test and chi-square test. Univariable and multivariable logistic regression models were performed to explore the risk factors of mortality.

Results

Seventy cancer patients with SARS-CoV-2 infection were enrolled and the majority were males 38 (54.3%). 57 (81.4%) had solid tumors and 13 (18.6%) had hematological malignancies. Dyspnea (44 cases) was the most common symptom (62.9%). Complications were reported in 51 (72.9%) patients during the course of disease. 19 (27.1%) patients were admitted to an intensive care unit (ICU). A significant increase in the C-reactive protein level and neutrophil count was observed in the deceased patients as compared to the surviving patients. D-dimer values of ≥0.2 mg/L were significantly associated with mortality (P=0.01). We identified two independent risk factors associated with death, ICU admission (P=0.007) and D-dimer (P=0.003).

Conclusion

Pakistani cancer patients with COVID-19 infection reported poor prognosis. Intensive surveillance of clinicopathological characteristics of cancer patients infected with COVID-19 especially D-dimer values may play a pivotal role in the outcome of the disease.

Profiles and outcomes in patients with COVID-19 admitted to wards of a French oncohematological hospital: A clustering approach

OBJECTIVES

Although some prognostic factors for COVID-19 were consistently identified across the studies, differences were found for other factors that could be due to the characteristics of the study populations and the variables incorporated into the statistical model. We aimed to a priori identify specific patient profiles and then assess their association with the outcomes in COVID-19 patients with respiratory symptoms admitted specifically to hospital wards.

METHODS

We conducted a retrospective single-center study from February 2020 to April 2020. A non-supervised cluster analysis was first used to detect patient profiles based on characteristics at admission of 220 consecutive patients admitted to our institution. Then, we assessed the prognostic value using Cox regression analyses to predict survival.

RESULTS

Three clusters were identified, with 47 patients in cluster 1, 87 in cluster 2, and 86 in cluster 3; the presentation of the patients differed among the clusters. Cluster 1 mostly included sexagenarian patients with active malignancies who were admitted early after the onset of COVID-19. Cluster 2 included the oldest patients, who were generally overweight and had hypertension and renal insufficiency, while cluster 3 included the youngest patients, who had gastrointestinal symptoms and delayed admission. Sixty-day survival rates were 74.3%, 50.6% and 96.5% in clusters 1, 2, and 3, respectively. This was confirmed by the multivariable Cox analyses that showed the prognostic value of these patterns.

CONCLUSION

The cluster approach seems appropriate and pragmatic for the early identification of patient profiles that could help physicians segregate patients according to their prognosis.

Preexisting and Post-COVID-19 Immune Responses to SARS-CoV-2 in Patients with Cancer

Patients with cancer, in particular patients with hematologic malignancies, are at increased risk for critical illness upon COVID-19. We here assessed antibody as well as CD4⁺ and CD8⁺ T-cell responses in unexposed and SARS-CoV-2-infected patients with cancer to characterize SARS-CoV-2 immunity and to identify immunologic parameters contributing to COVID-19 outcome. Unexposed patients with hematologic malignancies presented with reduced prevalence of preexisting SARS-CoV-2 cross-reactive CD4⁺ T-cell responses and signs of T-cell exhaustion compared with patients with solid tumors and healthy volunteers. Whereas SARS-CoV-2 antibody responses did not differ between patients with COVID-19 and cancer and healthy volunteers, intensity, expandability, and diversity of SARS-CoV-2 T-cell responses were profoundly reduced in patients with cancer, and the latter associated with a severe course of COVID-19. This identifies impaired SARS-CoV-2 T-cell immunity as a potential determinant for dismal outcome of COVID-19 in patients with cancer. SIGNIFICANCE: This first comprehensive analysis of SARS-CoV-2 immune responses in patients with cancer reports on the potential implications of impaired SARS-CoV-2 T-cell responses for understanding pathophysiology and predicting severity of COVID-19, which in turn might allow for the development of therapeutic measures and vaccines for this vulnerable patient population.See related commentary by Salomé and Horowitz, p. 1877.This article is highlighted in the In This Issue feature, p. 1861.

Impact of anti-cancer therapy on disease severity and mortality in cancer patients with COVID-19: a systematic review and meta-analysis

Background: Cancer patients are more vulnerable to Coronavirus disease-2019 (COVID-19) and have a higher risk of adverse outcomes than the general population. Therefore, it is necessary to evaluate whether anti-cancer therapies such as surgery, chemotherapy, immunotherapy, and targeted therapy will increase the severity and mortality of cancer patients with COVID-19.Methods: Relevant articles were retrieved from PubMed, Embase, Web of Science, Cochrane Library and China National Knowledge Infrastructure (CNKI). The search time was from December 1, 2019 to January 23, 2021. Meta-analysis was conducted using Revman 5.3 statistical software.Results: A total of 26 studies were included in this meta-analysis, involving 5571 cancer patients infected with SARS-CoV-2. Meta-analysis showed that surgery, chemotherapy, immunotherapy and targeted therapy were not associated with disease severity or mortality (107/688, OR =1.30, 95% CI[0.79, 2.13], P =0.30; 1956/2674, OR =1.27, 95% CI [0.95, 1.69], P =0.10; 342/1455, OR =1.20, 95% CI [0.90, 1.61], P =0.21; 503/1378, OR =0.92, 95% CI [0.72, 1.19], P =0.54, respectively).Conclusion: In cancer patients with COVID-19, anti-cancer therapy had no adverse effect on disease severity or mortality. Further research is necessary to determine the complex interrelationship between anti-cancer therapy, particularly chemotherapy, and COVID-19.

Coronavirus Disease (COVID-19) Testing in Asymptomatic Patients Planned for Day Care Systemic Therapy: A Tertiary Cancer Center Experience

Introduction The Indian Council of Medical Research recommends coronavirus disease 2019 (COVID-19) testing for asymptomatic patients only in hospitalized condition or those seeking hospitalization for chemotherapy.

Materials and Methods This was a retrospective study to assess the incidence of asymptomatic COVID-19 positivity among asymptomatic, adult patients who were planned for systemic therapy as day care at a tertiary care cancer center. COVID-19 testing was done by reverse transcriptase-polymerase chain reaction by throat/nasopharyngeal swab once before the first cycle of systemic therapy and once every 3 weeks until completion of systemic therapy.

Results A total of 824 systemic therapies were delivered in day care from May 7 to June 20, 2020. Among the 761 COVID-19 testing done before systemic therapy, 11 patients were COVID-19 positive (1.45%, 95% confidence interval: 0.60–2.29). Among the 11 patients, 45% were negative before the first systemic therapy but tested positive before subsequent cycles. Among the asymptomatic COVID-19-positive patients, 54% were hospitalized for observation and 46% were on home quarantine for 14 days. None of them received investigational therapy or traditional treatment for COVID-19. None of the patients needed admission in the intensive care unit or oxygen/ventilatory support. There was no mortality among these patients. All patients turned COVID-19 negative at a median of 9 days. Currently, 45% (n = 5/11) of the patients have resumed systemic therapy.

Conclusion The incidence of asymptomatic COVID-19 positivity among adult cancer patients planned for day care systemic therapy is low (1.45%). Hence, COVID-19 testing should be done after informed/shared decision with the patient/attendants. Repeat COVID-19 testing before each cycle of systemic therapy is preferable, as 45% of the patients were COVID-19 negative before the first cycle of systemic therapy and turned positive before subsequent cycles in the present study. There was no morbidity or mortality in this cohort of asymptomatic COVID-19-positive cancer patients.

The intersection of COVID-19 and cancer: signaling pathways and treatment implications

The outbreak of the novel coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has emerged as a serious public health concern. Patients with cancer have been disproportionately affected by this pandemic. Increasing evidence has documented that patients with malignancies are highly susceptible to severe infections and mortality from COVID-19. Recent studies have also elucidated the molecular relationship between the two diseases, which may not only help optimize cancer care during the pandemic but also expand the treatment for COVID-19. In this review, we highlight the clinical and molecular similarities between cancer and COVID-19 and summarize the four major signaling pathways at the intersection of COVID-19 and cancer, namely, cytokine, type I interferon (IFN-I), androgen receptor (AR), and immune checkpoint signaling. In addition, we discuss the advantages and disadvantages of repurposing anticancer treatment for the treatment of COVID-19.

Clinical features and outcomes of COVID-19 in patients with solid tumors: Turkish National Registry Data

We present demographic, clinical, laboratory characteristics and outcomes of the patients with solid malignancies and novel coronavirus disease (COVID-19) collected from the National COVID-19 Registry of Turkey. A total of 1523 patients with a current or past diagnosis of solid tumors and diagnosed with COVID-19 (confirmed with PCR) between 11 March and 20 May 2020 were included. The primary outcome was 30-day mortality. Median age was 61 (range: 18-94), and 752 (49%) were male. The most common types of cancers were breast (19.8%), prostate (10.9%) and colorectal cancer (10.8%). 65% of the patients had at least one comorbidity. At least one COVID-19-directed therapy was given in 73% of the patients.. Hospitalization rate of the patients was 56.6% and intensive care unit admission rate was 11.4%. Seventy-seven (5.1%) patients died within 30 days of diagnosis. The first multivariate model which included only the demographic and clinical characteristics showed older age, male gender and presence of diabetes and receipt of cytotoxic therapy to be associated with increased 30-day mortality, while breast and prostate cancer diagnoses were associated with lower 30-day mortality. In the second set, we further included laboratory parameters. The presence of leukocytosis (OR 6.7, 95% CI 3.3-13.7, P < .001), lymphocytopenia (OR 3,1, 95% CI 1,6-6,1, P = .001) and thrombocytopenia (OR 3,4 95% CI 1,5-8,1, P = .005) were found to be associated with increased 30-day mortality. Relatively lower mortality compared to Western countries and China mainly results from differences in baseline risk factors but may also implicate the importance of intensive supportive care.

Lung cancer patients with COVID-19 in Spain: GRAVID study

INTRODUCTION

Patients with cancer may be at increased risk of more severe COVID-19 disease; however, prognostic factors are not yet clearly identified. The GRAVID study aimed to describe clinical characteristics, outcomes, and predictors of poor outcome in patients with lung cancer and COVID-19.

METHODS

Prospective observational study that included medical records of patients with lung cancer and PCR-confirmed COVID-19 diagnosis across 65 Spanish hospitals. The primary endpoint was all-cause mortality; secondary endpoints were hospitalization and admission to intensive care units (ICU).

RESULTS

A total of 447 patients with a mean age of 67.1 ± 9.8 years were analysed. The majority were men (74.3 %) and current/former smokers (85.7 %). NSCLC was the most frequent type of cancer (84.5 %), mainly as adenocarcinoma (51.0 %), and stage III metastatic or unresectable disease (79.2 %). Nearly 60 % of patients were receiving anticancer treatment, mostly first-line chemotherapy. Overall, 350 (78.3 %) patients were hospitalized for a mean of 13.4 ± 11.4 days, 9 (2.0 %) were admitted to ICU and 146 (32.7 %) died. Advanced disease and the use of corticosteroids to treat COVID-19 during hospitalization were predictors of mortality. Hospitalized, non-end-of-life stage patients with lymphocytopenia and high LDH had an increased risk of death. Severity of COVID-19 correlated to higher mortality, ICU admission, and mechanical ventilation rates.

CONCLUSIONS

Mortality rate was higher among patients treated with corticosteroids during hospitalization, while anticancer therapy was not associated with an increased risk of hospitalization or death. Tailored approaches are warranted to ensure effective cancer management while minimizing the risk of exposure to SARS-CoV-2.

COVID-19 and the multidisciplinary care of patients with lung cancer: an evidence-based review and commentary

Delivering lung cancer care during the COVID-19 pandemic has posed significant and ongoing challenges. There is a lack of published COVID-19 and lung cancer evidence-based reviews, including for the whole patient pathway. We searched for COVID-19 and lung cancer publications and brought together a multidisciplinary group of stakeholders to review and comment on the evidence and challenges. A rapid review of the literature was undertaken up to 28 October 2020, producing 144 papers, with 113 full texts screened. We focused on new primary data collection (qualitative or quantitative evidence) and excluded case reports, editorials and commentaries. Following exclusions, 15 published papers were included in the review and are summarised. They included one qualitative paper and 14 quantitative studies (surveys or cohort studies), with a total of 2295 lung cancer patients data included (mean study size 153 patients; range 7-803). Review of current evidence and commentary included awareness and help-seeking; lung cancer screening; primary care assessment and referral; diagnosis and treatment in secondary care, including oncology and surgery; patient experience and palliative care. Cross-cutting themes and challenges were identified using qualitative methods for patients, healthcare professionals and service delivery, with a clear need for continued studies to guide evidence-based decision-making.

Delivery of systemic anti-cancer therapy during the COVID-19 pandemic

BACKGROUND

The first confirmed case of COVID-19 in Ireland was on February 29th 2020. From March until late April, the number of cases increased exponentially. The delivery of anti-cancer therapy during the COVID-19 pandemic was extremely challenging. In order to balance the benefits of continuing anti-cancer therapy with the associated increased hospital visits, combined with the risk of COVID-19 infection, we undertook a series of system changes in the delivery of cancer care.

METHODS

Patients who attended our dayward over a 4-month period were included. Data were obtained from patient and chemotherapy prescribing records. Patients were screened for symptoms of COVID-19 at two separate timepoints: prior to their visit via telephone, and using a symptom questionnaire on arrival at the hospital. If patients displayed COVID-19 symptoms, they were isolated and a viral swab arranged.

RESULTS

A total of 456 patients attended from January 1st to April 30th. The numbers of visits from January to April were 601, 586, 575, and 607, respectively. During this period, there were 2369 patient visits to the dayward and 1953 (82%) intravenous regimens administered. Of the 416 visits that did not lead to treatment, 114 (27%) were scheduled non-treatment review visits, 194 (47%) treatments were held due to disease-related illness, and 108 (26%) treatments were held due to treatment-related complications. Screening measurements were implemented on March 18th due to rising COVID-19 prevalence in the general population. Overall, 53 treatments were held due to the screening process: 19 patients (36%) elicited COVID-19 symptoms via telephone screening; 34 patients (64%) were symptomatic in our pre-assessment area and referred for swabs, of which 4 were positive. Those with a negative swab were rescheduled for chemotherapy the following week.

CONCLUSIONS

With careful systematic changes, safe and continued delivery of systemic anti-cancer therapy during the COVID-19 pandemic is possible.

More Severe COVID-19 in Patients With Active Cancer: Results of a Multicenter Cohort Study

BACKGROUND

The aim of the study was to compare coronavirus disease 2019 (COVID-19) severity presentation between oncologic and non-oncologic patients and to evaluate the impact of cancer type and stage on COVID-19 course.

METHODS

We performed a multicentre, retrospective study involving 13 COVID-19 Units in Campania region from February to May 2020. We defined as severe COVID-19 presentation the cases that required mechanical ventilation and/or admission to Intensive Care Units (ICU) and/or in case of death.

RESULTS

We enrolled 371 COVID-19 patients, of whom 34 (9.2%) had a history or a diagnosis of cancer (24 solid, 6 onco-hematological). Oncologic patients were older (p<0.001), had more comorbidities (p<0.001) and showed a higher rate of severe COVID-19 presentation (p=0.001) and of death (p<0.001). Compared to 12 patients with non-active cancer and to 337 without cancer, the 17 patients with active cancer had more comorbidities and showed a higher rate of severe COVID-19 and of mortality (all p values <0.001). Compared to the 281 non-severe patients, the 90 subjects with a severe presentation of COVID-19 were older (p<0.01), with more comorbidities (p<0.001) and with a higher rate of cancer (p=0.001). At multivariate analysis, age (OR 1.08, 95% CI: 1.04-1.11) and suffering from cancer in an active stage (OR 5.33, 95% CI: 1.77-16.53) were independently associated with severe COVID-19.

CONCLUSIONS

Since the higher risk of severe evolution of COVID-19, cancer patients, especially those with an active malignancy, should be candidates for early evaluation of symptoms and early treatment for COVID-19.

Management of Breast Cancer Patients During the Coronavirus Disease 2019 Pandemic: The Experience From the Epicenter of China, Wuhan

Background

The coronavirus disease 2019 pandemic is a global public health event. Wuhan used to be the epicenter of China and finally controlled the outbreak through city lockdown and many other policies. However, the pandemic and the prevention strategies had a huge impact on the medical care procedures for patients with breast cancer, leading to the delay or interruption of anticancer therapies.

Patients and Methods

To better serve patients with breast cancer under the premise of epidemic control, many strategies have been proposed and optimized in our center. One of the most important parts of these strategies is the promotion of telemedicine, including online consultation, online prescription, and drug mailing services.

Results

In keeping with the city and hospital policies, we have also introduced stricter ward management policies and more precise care.

Conclusion

Here, we collected the diagnosis and treatment process of patients with breast cancer in our center during the coronavirus disease 2019 pandemic, which was found to be correlated to a reduction in chemotherapy-related myelosuppression and hepatic dysfunction, hoping to provide a reference for other cancer centers that may suffer from the similar situation.

Higher mortality in lung cancer patients with COVID-19? A systematic review and meta-analysis

Objective

Given that the coronavirus disease 2019 (COVID-19) mainly spreads through the respiratory system and is associated with severe pulmonary complications, lung cancer patients may have worse outcomes than those with other tumors. There is no confirmed evidence about the mortality comparison between COVID-19 patients with lung cancer and other tumors. We performed a systematic review and pooled analysis to provide precise estimates of the mortality rate of COVID-19 patients with lung cancer and other tumors.

Materials and Methods

Our study systemically included and reviewed 13 studies on the characteristics of COVID-19 patients with lung cancer published up to November 1, 2020. The primary endpoint was all-cause mortality. We also compared the all-cause mortality rates in China and other regions as a secondary endpoint. The mortality rate was assessed with a fixed-effects model, which was used to derive the pooled mortality and 95 % confidence interval (CI).

Results

Thirteen studies from different countries, involving 1,229 patients with both COVID-19 and cancer, were selected for the pooled analysis. A total of 343 deaths were recorded in this population: 86 for lung cancers and 257 for other tumors. The mortality rate varies from 18 % to 60 % for patients with lung cancer and COVID-19 and 10%–41% for other tumor patients with COVID-19. The overall meta-analysis did not show a significant mortality difference for the lung cancer and other tumor subgroups (OR = 1.47, 95 %CI = 0.98–2.20, p = 0.06, I² = 23 %). Nevertheless, in regions other than China, the pooled mortality of lung cancer patients with COVID-19 was 42 %, which was significantly higher than that of other tumors (24 %) (OR = 2.73, 95 % CI = 1.54–4.86, p = 0.0006, I² = 16 %).

Conclusion

Appropriate and aggressive preventive measures should be implemented to reduce the risk of COVID-19 in patients with cancer and optimally manage those who contract the infection.

Clinical Characteristics and Outcomes of COVID-19-Infected Cancer Patients: A Systematic Review and Meta-Analysis

Background

Previous studies have indicated coronavirus disease 2019 (COVID-19) patients with cancer have a high fatality rate.

Methods

We conducted a systematic review of studies that reported fatalities in COVID-19 patients with cancer. A comprehensive meta-analysis that assessed the overall case fatality rate and associated risk factors was performed. Using individual patient data, univariate and multivariable logistic regression analyses were used to estimate odds ratios (OR) for each variable with outcomes.

Results

We included 15 studies with 3019 patients, of which 1628 were men; 41.0% were from the United Kingdom and Europe, followed by the United States and Canada (35.7%), and Asia (China, 23.3%). The overall case fatality rate of COVID-19 patients with cancer measured 22.4% (95% confidence interval [CI] = 17.3% to 28.0%). Univariate analysis revealed age (OR = 3.57, 95% CI = 1.80 to 7.06), male sex (OR = 2.10, 95% CI = 1.07 to 4.13), and comorbidity (OR = 2.00, 95% CI = 1.04 to 3.85) were associated with increased risk of severe events (defined as the individuals being admitted to the intensive care unit, or requiring invasive ventilation, or death). In multivariable analysis, only age greater than 65 years (OR = 3.16, 95% CI = 1.45 to 6.88) and being male (OR = 2.29, 95% CI = 1.07 to 4.87) were associated with increased risk of severe events.

Conclusions

Our analysis demonstrated that COVID-19 patients with cancer have a higher fatality rate compared with that of COVID-19 patients without cancer. Age and sex appear to be risk factors associated with a poorer prognosis.

When hematologic malignancies meet COVID-19 in the United States: Infections, death and disparities

Scientific data is limited on the risks, adverse outcomes and racial disparities for COVID-19 illness in individuals with hematologic malignancies in the United States. To fill this void, we screened and analyzed a nation-wide database of patient electronic health records (EHRs) of 73 million patients in the US (up to September 1st) for COVID-19 and eight major types of hematologic malignancies. Patients with hematologic malignancies had increased odds of COVID-19 infection compared with patients without hematologic malignancies for both all-time diagnosis (malignancy diagnosed in the past year or prior) (adjusted Odds ratio or AOR: 2.27 [2.17-2.36], p < 0.001) and recent diagnosis (malignancy diagnosed in the past year) (AOR:11.91 [11.31-12.53], p < 0.001), with strongest effect for recently diagnosed acute lymphoid leukemia (AOR: 31.03 [25.87-37.27], p < 0.001), essential thrombocythemia (AOR: 20.65 [19.10-22.32], p < 0.001), acute myeloid leukemia (AOR: 18.94 [15.79-22.73], p < 0.001), multiple myeloma (AOR: 14.21 [12.72-15.89], p < 0.001). Among patients with hematologic malignancies, African Americans had higher odds of COVID-19 infection than Caucasians with largest racial disparity for multiple myeloma (AOR: 4.23 [3.21-5.56], p < 0.001). Patients with recently diagnosed hematologic malignancies had worse outcomes (hospitalization: 51.9%, death: 14.8%) than COVID-19 patients without hematologic malignancies (hospitalization: 23.5%, death: 5.1%) (p < 0.001) and hematologic malignancy patients without COVID-19 (hospitalization: 15.0%, death: 4.1%) (p < 0.001).

What Proportion of Patients with Bone and Soft Tissue Tumors Contracted Coronavirus-19 and Died From Surgical Procedures During the Initial Period of the COVID-19 Pandemic? Results From the Multicenter British Orthopaedic Oncology Society Observational Study

BACKGROUND

Delivering uninterrupted cancer treatment to patients with musculoskeletal tumors has been essential during the rapidly evolving coronavirus 2019 (COVID-19) pandemic, as delays in management can be detrimental. Currently, the risk of contracting COVID-19 in hospitals when admitted for surgery and the susceptibility due to adjuvant therapies and associated mortality due to COVID-19 is unknown, but knowledge of these potential risks would help treating clinicians provide appropriate cancer care.

QUESTIONS/PURPOSES

(1) What is the risk of hospital-acquired COVID-19 in patients with musculoskeletal tumors admitted for surgery during the initial period of the pandemic? (2) What is the associated mortality in patients with musculoskeletal tumors who have contracted COVID-19? (3) Are patients with musculoskeletal tumors who have had neoadjuvant therapy (chemotherapy or radiation) preoperatively at an increased risk of contracting COVID-19? (4) Is a higher American Society of Anesthesiologists (ASA) grade in patients with musculoskeletal tumors associated with an increased risk of contracting COVID-19 when admitted to the hospital for surgery?

METHODS

This retrospective, observational study analyzed patients with musculoskeletal tumors who underwent surgery in one of eight specialist centers in the United Kingdom, which included the five designated cancer centers in England, one specialist soft tissue sarcoma center, and two centers from Scotland between March 12, 2020 and May 20, 2020. A total of 347 patients were included, with a median (range) age of 53 years (10 to 94); 60% (207 of 347) were men, and the median ASA grade was II (I to IV). These patients had a median hospital stay of 8 days (0 to 53). Eighteen percent (61 of 347) of patients had received neoadjuvant therapy (8% [27] chemotherapy, 8% [28] radiation, 2% [6] chemotherapy and radiation) preoperatively. The decision to undergo surgery was made in adherence with United Kingdom National Health Service and national orthopaedic oncology guidelines, but specific data with regard to the number of patients within each category are not known. Fifty-nine percent (204 of 347) were negative in PCR testing done 48 hours before the surgical procedure; the remaining 41% (143 of 347) were treated before preoperative PCR testing was made mandatory, but these patients were asymptomatic. All patients were followed for 30 days postoperatively, and none were lost to follow-up during that period. The primary outcome of the study was contracting COVID-19 in the hospital after admission. The secondary outcome was associated mortality after contracting COVID-19 within 30 days of the surgical procedure. In addition, we assessed whether there is any association between ASA grade or neoadjuvant treatment and the chances of contracting COVID-19 in the hospital. Electronic patient record system and simple descriptive statistics were used to analyze both outcomes.

RESULTS

Four percent (12 of 347) of patients contracted COVID-19 in the hospital, and 1% (4 of 347) of patients died because of COVID-19-related complications. Patients with musculoskeletal tumors who contracted COVID-19 had increased mortality compared with patients who were asymptomatic or tested negative (odds ratio 55.33 [95% CI 10.60 to 289.01]; p < 0.001).With the numbers we had, we could not show that adjuvant therapy had any association with contracting COVID-19 while in the hospital (OR 0.94 [95% CI 0.20 to 4.38]; p = 0.93). Increased ASA grade was associated with an increased likelihood of contracting COVID-19 (OR 58 [95% CI 5 to 626]; p < 0.001).

CONCLUSION

Our results show that surgeons must be mindful and inform patients that those with musculoskeletal tumors are at risk of contracting COVID-19 while admitted to the hospital and some may succumb to it. Hospital administrators and governmental agencies should be aware that operations on patients with lower ASA grade appear to have lower risk and should consider restructuring service delivery to ensure that procedures are performed in designated COVID-19-restricted sites. These measures may reduce the likelihood of patients contracting the virus in the hospital, although we cannot confirm a benefit from this study. Future studies should seek to identify factors influencing these outcomes and also compare surgical complications in those patients with and without COVID-19.

LEVEL OF EVIDENCE

Level III, therapeutic study.

Impact of COVID-19 on Patients with Cancer Receiving Immune Checkpoint Inhibitors

Introduction

To evaluate the impact of Sars-Cov-2 infection on mortality and immune checkpoint inhibitor (ICI) toxicity in patients with cancer receiving ICIs compared to those not receiving ICIs.

Methods

We conducted a retrospective matched cohort study of 25 patients receiving ICIs within 1 year of coronavirus disease 2019 (COVID-19) diagnosis between March 20, 2020, and June 3, 2020, at the Dana-Farber Cancer Institute/Mass General Brigham. Cases were matched 1:1 with controls based on age, sex, and anticancer therapy within the prior 6 months.

Results

Seven of 25 (28%) patients receiving ICIs died from COVID-19 as compared with nine of 25 (36%) controls. Through multivariable analysis adjusting for age, sex, and anticancer therapy, ICI use was not associated with increased risk for COVID-19 death (OR [odds ratio] 0.36, 95% CI 0.07-1.87). Determinants of mortality included age (OR 1.14, 95% CI 1.03-1.27) and chronic obstructive pulmonary disease (OR 12.26, 95% CI 1.76-85.14). Statin use was protective against mortality (OR 0.08, 95% CI 0.01-0.63). Two patients experienced persistent immune-related adverse events (irAEs) (hypophysitis); one had new-onset irAE (hypothyroidism) during their COVID-19 course. Patients with ICIs had significantly higher platelet (p = 0.017) and D-dimer (p = 0.037) levels. Elevated troponin levels (p = 0.01) were associated with COVID-19 death in patients using ICI.

Conclusion

There is insufficient evidence to conclude COVID-19-related outcomes are associated with ICIs, and we did not observe an increased risk of COVID-19-related death associated with ICIs. The potential protective effect of statin therapy and role of laboratory biomarkers warrant further investigation.