Effects of cancer on patients with COVID-19: a systematic review and meta-analysis of 63,019 participants

Patients with advanced cancer were treated with immune checkpoint inhibitors and injected with COVID-19 vaccine to improve their prognosis without increasing pancreatic related adverse events

To investigate immune checkpoint inhibitors (ICIs) induced pancreatic injury (ICIPI), the prognostic effect of COVID-19 vaccine on cancer patients, and whether COVID-19 vaccine increases the incidence of ICIPI. We conducted a retrospective study of 256 stage IV cancer patients treated with ICIs at The First Affiliated Hospital of Anhui Medical University from January 2020 to November 2022. Data collected included pancreatic enzyme levels, treatment outcomes, and vaccination status. Statistical significance was determined using the χ2 test and Kaplan-Meier method (p < .05). Compared to the control group, the vaccinated group (p < .0001) and the group with elevated pancreatic enzyme levels (p = .044) demonstrated higher disease control rates, indicating a direct benefit of vaccination and enzyme monitoring on treatment outcomes. Additionally, vaccinated patients demonstrated longer overall survival versus unvaccinated patients (23.9 months [95% CI, 22.3-25.5] vs 23.6 months [95% CI, 21.1-26.2], HR = 0.45 [95% CI, 0.24-0.86], p = .015) and progression-free survival (17.2 months [95% CI, 14.3-20.1] vs 13.7 months [95% CI, 11.3-16.1], HR = 0.54 [95% CI, 0.36-0.82], p = .004). Importantly, the analysis revealed no significant association between vaccination and pancreatic injury (p = .46). Monitoring pancreatic enzymes can effectively evaluate the therapeutic impact in patients using ICIs. Patients vaccinated against COVID-19 experience better immunotherapy outcomes without an increased risk of ICIPI.

A phase 2 study of a longitudinal multidimensional rehabilitation program for allogeneic blood and marrow transplantation patients

ABSTRACT

Allogeneic blood and marrow transplantation (alloBMT) is a curative treatment for blood cancers associated with various treatment-related adverse events and morbidities for which rehabilitation programs are currently limited. A phase 2 randomized controlled trial (RCT) was conducted to assess the feasibility, acceptability, and impact of CaRE-4-alloBMT, a longitudinal, multidimensional cancer rehabilitation program for patients undergoing alloBMT. The primary outcomes included the feasibility and acceptability of the intervention and the methods. Feasibility was assessed through recruitment, retention, and adherence rates. Acceptability was assessed through qualitative interviews. Secondary clinical outcomes were collected through questionnaires and physiological assessments at 4 time points. A total of 80 participants were recruited and randomized. Recruitment (72%) and retention (70%) rates, along with qualitative findings, support the feasibility of the intervention. Adherence was suboptimal, most notably educational module completion (22.7%). Treatment effect sizes of 0.70 (95% confidence interval [CI], 0.20-1.21; 30-second sit-to-stand test) and 0.46 (95% CI, -0.17 to 1.09; 36-Item Short Form Survey) were observed in favor of the intervention. The results appear promising; however, the findings are limited by missing data owing to attrition. Modifications will be required to refine the program and inform a phase 3 RCT. This trial was registered at www.ClinicalTrials.gov as #NCT04966156.

Impact of the COVID-19 Pandemic on Prostate Cancer Diagnosis, Staging, and Treatment: A Population-Based Study in Northern Italy

The COVID-19 pandemic has caused delays in cancer diagnoses and reductions in treatments. The aim of this work is to evaluate the impact of the pandemic on prostate cancer by evaluating whether there has been a shift towards more aggressive (Gleason) and more advanced tumors (stage IV) and a decline in treatments. The study was conducted on 1123 cases of prostate cancer incident in the Province of Reggio Emilia, Northern Italy, in the period of 2018-2021. In 2020, there was a decline in new diagnoses of prostate cancer (-31%), followed by a slight recovery in 2021 (+5%). While Gleason 7 and 8-10 values remained constant, a significant decrease was recorded in stage I (38.7%, 41.6%, 35.5%, and 27.7%) and an increase in stage IV (13.1%, 13%, 15.4%, and 20%) cases in the years 2018, 2019, 2020, and 2021, respectively. However, there was no impact on surgical treatment (which remained constant at around 35%) and radiotherapy (around 39%). Our findings underline the profound impact of COVID-19 on prostate cancer management, highlighting the importance of healthcare resilience in the face of unprecedented disruptions.

Cancer Care During the COVID-19 Pandemic: A Retrospective Study From a Najran Oncology Center

Background The COVID-19 pandemic significantly impacted healthcare systems globally, with cancer patients representing a particularly vulnerable group. This study aims to evaluate the influence of COVID-19 on cancer, focusing on infection rates, types of care, therapy adjustments, and factors associated with COVID-19 infection. Materials and methods This single-center retrospective analysis included adult cancer patients who underwent anticancer therapy at King Khalid Hospital in Najran, Saudi Arabia, from December 20, 2020, to January 23, 2022. Data on patient and cancer characteristics, COVID-19 specifics, treatment delays, outcomes, and factors associated with COVID-19 were collected and analyzed. Results A total of 257 chemotherapy recipients were interviewed. The mean age was 52.6 ± 14.4 years, with 44 (17.1%) over 65 years old. Females comprised 160 (62.3%) of the patients. The most common malignancies were gastrointestinal (71, 27.6%), breast (70, 27.2%), and hematological (50, 19.5%). Metastasis was present in 116 patients (45.1%). Common comorbidities included diabetes (68, 26.5%) and hypertension (55, 21.4%). Most patients (226, 87.9%) were vaccinated against COVID-19. COVID-19 tested positive in 22 patients (8.6%), with a lower infection rate in vaccinated patients (7 vs. 15, p < 0.001). Most cases were mild (18, 81.8%), with fever (19, 7.4%) and cough and fatigue (17, 6.6%) being the most common symptoms. The median time to resume treatment post-infection was 30 days. Factors associated with higher infection rates included diabetes (OR: 4.73, 95% CI: 1.94-12.03, p = 0.001), coronary artery disease (OR: 4.13, 95% CI: 1.07-13.30, p = 0.049), chronic lung disease (OR: 15.58, 95% CI: 5.37-45.79, p < 0.001), chronic liver disease (OR: 7.64, 95% CI: 2.38-22.98, p < 0.001), and multiple comorbidities (OR: 2.04, 95% CI: 1.46-2.90, p < 0.001), cancer patients who received chemotherapy (OR: 1.02, 95% CI: 0.12-12.79, p = 0.027), and immunotherapy (OR: 3.37, 95% CI:1.27-8.43, p = 0.012). Conclusion The incidence of COVID-19 in cancer patients is proportional to the prevalence in the general population of similar geographic areas. Diabetes, coronary artery disease, chronic lung disease, chronic liver disease, receiving chemotherapy or immunotherapy, and multiple comorbidities were associated with higher COVID-19 infection rates.

Loneliness and Crowded Living Predicted Poor Health in a Sample of Cancer Patients During COVID-19 Pandemic

We investigated the influence of social determinants of health (SDOH), healthcare services, and health behaviors on mental and physical health outcomes of cancer patients between the first winter and the following post-vaccine summer of the COVID-19 pandemic. A three-wave online survey of individuals diagnosed with incident cancer between January 2019 and January 2020 was conducted between November of 2020 and August of 2021 in northeast Ohio. Descriptive analysis and mixed-effect regression analyses were performed. A total of 322 newly diagnosed cancer patients, with 40 African Americans and 282 Whites (215 from metropolitan areas and 67 nonmetropolitan) responded to the survey questions. In Wave 3 ending in August 2021, the survey respondents reported significantly reduced depression (p = .019) on the Hamilton Depression Rating Scale and improved global health (p = .036) on PROMIS. With age, comorbidity, and other demographic and medical variables controlled in the analyses, the feeling of loneliness (p < .001) and crowded living space (p = .001, p = .015) were the two most prominent factors associated with depression, irritability, and poor global health at baseline, with the lowest p values and persistent effect. Self-efficacy of taking preventive measures was associated with reduced depression (p = .001) and improved global health (p = .029). Increasing access to medicine (p < .01) and satisfaction with telehealth appointments (p < .01) were significantly associated with better global health and reduced irritability. Respondents who had private health insurance reported better health than those that had Medicare coverage only (p < .05). This longitudinal, observational study demonstrated the impact of SDOH on health outcomes of cancer patients. Substandard living conditions resulting in loneliness and crowdedness, quality of medical care (e.g., quality telehealth and access to medicine), and personal behaviors (e.g., self-efficacy) were significantly associated with health outcomes in newly diagnosed cancer patients during the pandemic and should be given adequate consideration for the purpose of improving clinical care.

Effectiveness of COVID-19 vaccines against severe outcomes in cancer patients: Real-world evidence from self-controlled risk interval and retrospective cohort studies

BACKGROUND

The effectiveness of COVID-19 vaccines is generally reduced in cancer patients compared to the general population. However, there are only a few studies that compare the relative risk of breakthrough infections and severe COVID-19 outcomes in fully vaccinated cancer patients versus their unvaccinated counterparts.

METHODS

To assess the effectiveness of COVID-19 vaccines in cancer patients, we employed (1) a self-controlled risk interval (SCRI) design, and (2) a retrospective matched cohort design. A SCRI design was used to compare the risk of breakthrough infection in vaccinated cancer patients during the period immediately following vaccination ("control window") and the period in which immunity is achieved ("exposure windows"). The retrospective matched cohort design was used to compare the risk of severe COVID-19 outcomes between vaccinated and unvaccinated cancer patients. For both studies, data were extracted from the Korea Disease Control and Prevention Agency-COVID-19-National Health Insurance Service cohort, including demographics, medical history, and vaccination records of all individuals confirmed with COVID-19. We used conditional Poisson regression to calculate the incidence rate ratio (IRR) for breakthrough infection and Cox regression to estimate the hazard ratio (HR) for severe outcomes.

RESULTS

Of 14,448 cancer patients diagnosed with COVID-19 between October 2020 and December 2021, a total of 217 and 3996 cancer patients were included in the SCRI and cohort study respectively. While the risk of breakthrough infections, measured by the incidence rate in the control and exposure windows, did not show statistically significant difference in vaccinated cancer patients (IRR=0.88, 95% CI: 0.64-1.22), the risk of severe COVID-19 outcomes was significantly lower in vaccinated cancer patients compared to those unvaccinated (HR=0.27, 95% CI: 0.22-0.34).

CONCLUSION

COVID-19 vaccines significantly reduce the risk of severe outcomes in cancer patients, though their efficacy against breakthrough infections is less evident.

Comorbidities affecting re-admission and survival in COVID-19: Application of joint frailty model

BACKGROUND

One of the common concerns of healthcare systems is the potential for re-admission of COVID-19 patients. In addition to adding costs to the healthcare system, re-admissions also endanger patient safety. Recognizing the factors that influence re-admission, can help provide appropriate and optimal health care. The aim of this study was to assess comorbidities that affect re-admission and survival in COVID-19 patients using a joint frailty model.

METHODS

This historical cohort study was done using data of patients with COVID-19 who were re-hospitalized more than twice in a referral hospital in North of Iran. We used the joint frailty model to investigate prognostic factors of survival and recurrence, simultaneously using R version 3.5.1 (library "frailtypack"). P-values less than 0.05 were considered as statistically significant.

RESULTS

A total of 112 patients with mean (SD) age of 63.76 (14.58) years old were recruited into the study. Forty-eight (42.9%) patients died in which 53.83% of them were re-admitted for a second time. Using adjusted joint model, the hazard of re-admission increased with cancer (Hazard ratio (HR) = 1.92) and hyperlipidemia (HR = 1.22). Furthermore, the hazard of death increased with hyperlipidemia (HR = 4.05) followed by age (HR = 1.76) and cancer (HR = 1.64). It Also decreased with lung disease (HR = 0.11), hypothyroidism (HR = 0.32), and hypertension (HR = 0.97).

CONCLUSION

Considering the correlation between re-admission and mortality in the joint frailty model, malignancy and hyperlipidemia increased the risk of both re-admission and mortality. Moreover, lung disease probably due to the use of corticosteroids, was a protective factor against both mortality and re-admission.

A comprehensive investigation on the receptor BSG expression reveals the potential risk of healthy individuals and cancer patients to 2019-nCoV infection

BACKGROUND

Coronavirus disease-2019 (COVID-19) pandemic is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a newly emerging coronavirus. BSG (basigin) is involved in the tumorigenesis of multiple tumors and recently emerged as a novel viral entry receptor for SARS-CoV-2. However, its expression profile in normal individuals and cancer patients are still unclear.

METHODS

We performed a comprehensive analysis of the expression and distribution of BSG in normal tissues, tumor tissues, and cell lines via bioinformatics analysis and experimental verification. In addition, we investigated the expression of BSG and its isoforms in multiple malignancies and adjacent normal tissues, and explored the prognostic values across pan-cancers. Finally, we conducted function analysis for co-expressed genes with BSG.

RESULTS

We found BSG was highly conserved in different species, and was ubiquitously expressed in almost all normal tissues and significantly increased in some types of cancer tissues. Moreover, BSG at mRNA expression level was higher than ACE2 in normal lung tissues, and lung cancer tissues. High expression of BSG indicated shorter overall survival (OS) in multiple tumors. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses indicated that BSG is mostly enriched in genes for mitochondria electron transport, oxidoreduction-driven active transmembrane transporter activity, mitochondrial inner membrane, oxidative phosphorylation, and genes involving COVID-19.

CONCLUSIONS

Our present work emphasized the value of targeting BSG in the treatment of COVID-19 and cancer, and also provided several novel insights for understanding the SARS-CoV-2 pandemic.

Low uptake of COVID-19 booster doses among elderly cancer patients in China: A multicentre cross-sectional study

Background

Vaccination is a crucial measure to control the spread of coronavirus disease 2019 (COVID-19) pandemic. The elderly and cancer populations both are more susceptible to SARS-CoV-2 and have higher mortality. However, the uptake of COVID-19 vaccine booster doses among elderly cancer patients remains unclear. This study aimed to investigate the prevalence and associates of COVID-19 vaccine booster doses uptake in elderly cancer patients.

Methods

A multi-center cross-sectional survey was conducted in four general populations of China province from April to June 2022. Demographic and clinical characteristics, as well as COVID-19 vaccination status and reasons for not uptake booster doses, were collected through face-to-face interviews and medical records. Multivariable logistic regression models were performed to explore the associates of the first COVID-19 booster dose vaccination uptake of cancer patients.

Results

A total of 893 cancer patients were eventually included in this study, of which 279 (31.24%) were aged 65 or older and 614 (68.76%) were under 65 years old. The proportion of the first COVID-19 vaccine booster dose among cancer patients aged 65 and above was lower than among adults aged 65 (23.66 vs. 31.92%). Factors affecting individual-level variables among the aged 65 and above cancer patients group whether to uptake the first COVID-19 booster dose were negative attitudes toward COVID-19 vaccine booster dose, perceived subjective norm, perceived behavioural control, and other types of chronic disease. There is no significant difference in the incidence of related adverse reactions between the two age groups (P = 0.19).

Conclusions

Low uptake of COVID-19 vaccine booster doses among elderly cancer patients is a significant concern and implies high susceptibility and high fatality when facing the emergence of SARS Cov-2 outbreak. Efforts to improve vaccine education and accessibility, particularly in rural areas, may help increase uptake and reduce the spread of SARS-Cov-2.

Study Protocol of a Randomized Controlled Clinical Trial to Evaluate the Efficacy and Safety of Ropeginterferon Alfa-2b in COVID-19 Patients with Comorbidities

INTRODUCTION

Ropeginterferon alfa-2b represents a new-generation PEGylated interferon. It is approved for the treatment of polycythemia vera and shows promising anti-SARS-CoV-2 activities.

OBJECTIVE

This clinical study aims to evaluate the efficacy and safety of ropeginterferon alfa-2b in patients with coronavirus disease 2019 (COVID-19) and comorbidities.

METHODS

The randomized controlled study is designed to enroll adult patients with COVID-19 infection and comorbidities. Patients are non-responders to anti-SARS-CoV-2 drugs or not suitable to receive them. Comorbidities include hematologic cancer, solid tumor, and well-controlled autoimmune disease. Non-responders to anti-SARS-CoV-2 drugs are defined as having received treatment but have a Ct value < 30 at 14 days after symptom onset. Patients are randomized in a 1:1 ratio to receive ropeginterferon alfa-2b at 250 μg plus standard of care (SOC) or SOC alone. SARS-CoV-2 antigen test will be conducted at day 15 and day 29 visits to determine whether to administer additional ropeginterferon alfa-2b doses. Patients who are positive on the antigen test on days 15 and 29 will receive the second and third doses of ropeginterferon alfa-2b at 350 μg and 500 μg, respectively. Patients with a negative antigen test but a Ct value < 30 by reverse transcription polymerase chain reaction (RT-PCR) at days 15 and 29 are also administered the second (350 μg) and third (500 μg) doses. Patients at high risk of COVID-19 rebound/relapse, e.g., immunocompromised patients, will be given additional ropeginterferon alfa-2b doses even if the Ct is ≥ 30. Approximately 60 patients will be enrolled.

PLANNED OUTCOMES

The primary outcome is to compare the time from randomization to the achievement of Ct value ≥ 30 by RT-PCR between ropeginterferon alfa-2b and control groups. Our previous studies have shown safety and promising anti-SARS-CoV-2 activities in patients with moderate or severe COVID-19. This study will provide valuable data in patients with COVID-19 and comorbidities, for whom safe and effective treatment is urgently needed.

TRIAL REGISTRATION NUMBER

This trial is registered at ClinicalTrials.gov (Identifier NCT05808322).

mRNA vaccines against SARS-CoV-2 induce divergent antigen-specific T-cell responses in patients with lung cancer

BACKGROUND

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant is highly transmissible and evades pre-established immunity. Messenger RNA (mRNA) vaccination against ancestral strain spike protein can induce intact T-cell immunity against the Omicron variant, but efficacy of booster vaccination in patients with late-stage lung cancer on immune-modulating agents including anti-programmed cell death protein 1(PD-1)/programmed death-ligand 1 (PD-L1) has not yet been elucidated.

METHODS

We assessed T-cell responses using a modified activation-induced marker assay, coupled with high-dimension flow cytometry analyses. Peripheral blood mononuclear cells (PBMCs) were stimulated with various viral peptides and antigen-specific T-cell responses were evaluated using flow cytometry.

RESULTS

Booster vaccines induced CD8+ T-cell response against the ancestral SARS-CoV-2 strain and Omicron variant in both non-cancer subjects and patients with lung cancer, but only a marginal induction was detected for CD4+ T cells. Importantly, antigen-specific T cells from patients with lung cancer showed distinct subpopulation dynamics with varying degrees of differentiation compared with non-cancer subjects, with evidence of dysfunction. Notably, female-biased T-cell responses were observed.

CONCLUSION

We conclude that patients with lung cancer on immunotherapy show a substantial qualitative deviation from non-cancer subjects in their T-cell response to mRNA vaccines, highlighting the need for heightened protective measures for patients with cancer to minimize the risk of breakthrough infection with the Omicron and other future variants.

Impact of Anti-angiogenic Drugs on Severity of COVID-19 in Patients with Non-Small Cell Lung Cancer

Introduction: The 2019 coronavirus disease (COVID-19) pandemic has reshaped oncology practice, but the impact of anti-angiogenic drugs on the severity of COVID-19 in patients with non-small cell lung cancer (NSCLC) remains unclear. Patients and Methods: We carried out a retrospective study involving 166 consecutive patients with NSCLC who were positive for COVID-19, aiming to determine the effects of anti-angiogenic drugs on disease severity, as defined by severe/critical symptoms, intensive care unit (ICU) admission/intubation, and mortality outcomes. Risk factors were identified using univariate and multivariate logistic regression models. Results: Of the participants, 73 had been administered anti-angiogenic drugs (termed the anti-angiogenic therapy (AT) group), while 93 had not (non-AT group). Comparative analyses showed no significant disparity in the rates of severe/critical symptoms (21.9% vs 35.5%, P = 0.057), ICU admission/intubation (6.8% vs 7.5%, P = 0.867), or death (11.0% vs 9.7%, P = 0.787) between these two groups. However, elevated risk factors for worse outcomes included age ≥ 60 (odds ratio (OR): 2.52, 95% confidence interval (CI): 1.07-5.92), Eastern Cooperative Oncology Group performance status of 2 or higher (OR: 21.29, 95% CI: 4.98-91.01), chronic obstructive pulmonary disease (OR: 7.25, 95% CI: 1.65-31.81), hypertension (OR: 2.98, 95% CI: 1.20-7.39), and use of immunoglobulin (OR: 5.26, 95% CI: 1.06-26.25). Conclusion: Our data suggests that the use of anti-angiogenic drugs may not exacerbate COVID-19 severity in NSCLC patients, indicating their potential safe application even during the pandemic period.

Factors influencing COVID-19 mortality among cancer patients: A Brazilian multi-institutional study

PURPOSE

This study aimed to describe the demographic and clinical characteristics of cancer patients with COVID-19, exploring factors associated with adverse outcomes.

PATIENTS AND METHODS

This retrospective cohort study methodically extracted and curated data from electronic medical records (EMRs) of numerous healthcare institutions on cancer patients diagnosed with a confirmed SARS-CoV-2 infection between May 2020 and August 2021, to identify risk factors linked to extended hospitalization and mortality. The retrieved information encompassed the patients' demographic and clinical characteristics, including the incidence of prolonged hospitalization, acute complications, and COVID-19-related mortality.

RESULTS

A total of 1446 cancer patients with COVID-19 were identified (mean [Standard deviation] age, 59.2 [14.3] years). Most patients were female (913 [63.1%]), non-white (646 [44.7%]), with non-metastatic (818 [56.6%]) solid tumors (1318 [91.1%]), and undergoing chemotherapy (647 [44.7%]). The rate of extended hospitalization due to COVID-19 was 46% (n = 665), which was significantly impacted by age (p = 0.012), sex (p = 0.003), race and ethnicity (p = 0.049), the presence of two or more comorbidities (p = 0.006), hematologic malignancies (p = 0.013), metastatic disease (p = 0.002), and a performance status ≥ 2 (p = 0.001). The COVID-19-related mortality rate was 18.9% (n = 273), and metastatic disease (<0.001), performance status ≥2 (<0.001), extended hospitalization (p = 0.028), renal failure (p = 0.029), respiratory failure (p < 0.001), sepsis (p = 0.004), and shock (p = 0.040) significantly and negatively influenced survival.

CONCLUSION

The rate of extended hospitalization and COVID-19-specific death in cancer patients was notably high and could be influenced by comorbidities, cancer treatment status, and clinical fragility. These observations may aid in developing risk counseling strategies regarding COVID-19 in individuals diagnosed with cancer.

Postvaccine Era COVID-19 Pandemic-Related Distress in Palliative Care Patients With Advanced Cancer

CONTEXT

The COVID-19 pandemic represents a source of distress in patients with advanced cancer; however, few studies have examined the extent of pandemic-related distress in the postvaccine era.

OBJECTIVES

We conducted a cross-sectional survey to examine pandemic-related distress among patients seen by palliative care after vaccine availability.

METHODS

Patients at our palliative care clinic were surveyed from April 2021 to March 2022 regarding 1) pandemic-related distress level, 2) potential contributors to pandemic-related distress, 3) coping strategies, 4) demographic factors and symptom burden. Univariate and multivariate analyses identified factors associated with pandemic-related distress.

RESULTS

A total of 200 patients completed the survey. Of 79 (40%, 95% confidence interval [CI]: 33%, 46%) reported worse pandemic-related distress. Patients who reported greater distress were more likely to report worse social isolation (67 [86%] vs. 52 [43%]), staying home more often (75 [95%] vs. 95 [79%]), more negative experience staying at home (26 [33%] vs. 11 [9%]), worse stress with child-care duties (14 [19%] vs. 4 [3%]), less seeing family/friends (63 [81%] vs. 72 [60%]), and more difficulty traveling to medical appointments (27 [35%] vs. 20 [17%]). Thirty-seven patients (19%) reported more difficulty getting medical appointments. In multivariable analysis, younger age (odds ratio [OR], 0.97; 95% CI, 0.92-0.99; P = 0.01), worse isolation status (OR, 6.87; 95% CI, 2.76-17.12; P < 0.001), and more negative attitude towards staying home (OR, 4.49; 95% CI, 1.6-12.57; P = 0.004) were associated with pandemic-related distress.

CONCLUSIONS

Patients with advanced cancer continued to experience pandemic-related distress in the postvaccine era. Our findings highlight potential opportunities to support patients.

Immunogenicity of COVID-19 vaccines in lung cancer patients

OBJECTIVE

Patients with lung cancer are at increased risk of SARS-CoV-2 infection and severe complications from COVID-19, but information on the efficacy of anti-SARS-CoV-2 vaccine in these patients is scarce. We aimed at evaluating the safety and immunogenicity of COVID-19 vaccines in this population.

PATIENTS AND METHODS

The prospective, nationwide SOLID substudy, enrolled adults with lung cancer who were fully vaccinated against COVID-19. Serum anti-SARS-CoV-2 IgG antibody levels were quantitatively assessed two weeks and six months after receipt of the last dose using a chemiluminescent microparticle immunoassay. Multivariate odds ratios for the association between demographic and clinical factors and seronegativity after vaccination were estimated.

RESULTS

1973 lung cancer patients were enrolled. Most patients had stage IV disease (66%) and were receiving active cancer treatment (82.7%). No significant differences were found in the probability of being seronegative for anti-SARS-CoV-2 IgG antibodies after full vaccination between patients who were receiving active cancer treatment and those who were not (p = 0.396). The administration of immunotherapy or oral targeted therapy and immunization with mRNA-1273 COVID-19 vaccine were factors independently associated with increased odds of being seropositive after vaccination. From all patients, 1405 received the second dose of vaccine and high levels of antibody titers were observed in 93.6% of patients two weeks after second dose. At six months, multivariate logistic regression analysis showed that performance status ≥ 2 was independently associated with a higher probability of being seronegative after full vaccination with an OR 4.15. On the other hand, received chemotherapy or oral target therapy and vaccination with mRNA-1273 were a factor independently associated with lower odds of being seronegative after full vaccination with an OR 0.52, 0.37 and 0.34, respectively.

CONCLUSIONS

Lung cancer patients can safely achieve a strong immune response against SARS-CoV-2 after full vaccination, regardless of the cancer treatment received.

TRIAL REGISTRATION

NCT04407143.

The impact of cancer on the severity of disease in patients affected with COVID-19: an umbrella review and meta-meta-analysis of systematic reviews and meta-analyses involving 1,064,476 participants

During the COVID-19 pandemic, cancer patients were among the most vulnerable patient groups to the SARS-CoV-2 infection effects. This paper aimed to conduct an umbrella review and meta-meta-analysis to determine the severity of disease in cancer patients affected by COVID-19. The umbrella review and meta-meta-analysis were undertaken according to the PRISMA and MOOSE guidelines. The PubMed/Medline, Web of Science, and Scopus databases were searched for published papers from the start of the pandemic through July 18, 2022. The pooled effect sizes (ES) and odds ratios (ORs) were calculated using a random effect model in the 95% confidence interval (CI) for ICU (Intensive Care Unit) admissions and mortality in cancer patients infected with SARS-CoV-2. Egger's linear regression test, schematic illustrations of funnel plots, and Begg and Mazumdar's rank correlation tests were used to quantify the possibility of publication bias. The pooled ES was calculated based on 1,031,783 participants, and mortality was significantly increased in cancer patients affected by COVID-19 (OR = 2.02, %95 CI: 1.74-2.35, p < 0.001). The pooled ES for ICU admission was also significantly increased in cancer patients infected with SARS-CoV-2 (OR = 1.84, %95 CI: 1.44-2.34, p < 0.001). As a result, this synthesis of systematic reviews and meta-analyses by the meta-meta-analysis method revealed that disease severity is higher in cancer patients affected by COVID-19. Since cancer patients are a more sensitive and specific patient group, they should be evaluated more carefully, especially during the COVID-19 pandemic and other pandemics that may occur in the future.

The Diagnostic, Prognostic, and Therapeutic Potential of Cell-Free DNA with a Special Focus on COVID-19 and Other Viral Infections

Cell-free DNA (cfDNA) in human blood serum, urine, and other body fluids recently became a commonly used diagnostic marker associated with various pathologies. This is because cfDNA enables a much higher sensitivity than standard biochemical parameters. The presence of and/or increased level of cfDNA has been reported for various diseases, including viral infections, including COVID-19. Here, we review cfDNA in general, how it has been identified, where it can derive from, its molecular features, and mechanisms of release and clearance. General suitability of cfDNA for diagnostic questions, possible shortcomings and future directions are discussed, with a special focus on coronavirus infection.

Active cancer as the main predictor of mortality for COVID-19 in oncology patients in a specialized center

Introduction: The role of the type, stage and status of cancer in the outcome of COVID-19 remains unclear. Moreover, the characteristic pathological changes of severe COVID-19 reveled by laboratory and radiological findings are similar to those due to the development of cancer itself and antineoplastic therapies. Objective: To identify potential predictors of mortality of COVID-19 in cancer patients. Materials and methods: A retrospective and cross-sectional study was carried out in patients with clinical suspicion of COVID-19 who were confirmed for COVID-19 diagnosis by RT-PCR testing at the National Institute of Neoplastic Diseases between April and December 2020. Demographic, clinical, laboratory and radiological data were analyzed. Statistical analyses included area under the curve and univariate and multivariate logistic regression analyses. Results: A total of 226 patients had clinical suspicion of COVID-19, the diagnosis was confirmed in 177 (78.3%), and 70/177 (39.5%) died. Age, active cancer, leukocyte count ≥12.8 × 109/L, urea ≥7.4 mmol/L, ferritin ≥1,640, lactate ≥2.0 mmol/L, and lung involvement ≥35% were found to be independent predictors of COVID-19 mortality. Conclusion: Active cancer represents the main prognosis factor of death, while the role of cancer stage and type is unclear. Chest CT is a useful tool in the prognosis of death from COVID-19 in cancer patients. It is a challenge to establish the prognostic utility of laboratory markers as their altered values it could have either oncological or pandemic origins.

Candida glabrata oropharyngeal infection in a patient with oral squamous cell carcinoma after COVID-19 infection

Background and Purpose

The COVID-19 pandemic may be an aggravating risk factor for the delay of the diagnoses of serious illnesses, such as oral squamous cell carcinoma, as well as poor management of patients with underlying morbidities, the onset of oral lesions, and antifungal susceptibility to opportunistic fungal infections. Oral candidiasis is one of the most common oral features of COVID-19.

Case Report

This study aimed to report an 83-year-old female diagnosed with oral carcinoma who developed oropharyngeal candidiasis after falling ill with COVID-19. In late 2020, this patient was hospitalized for COVID-19 pneumonia. A fissured tongue with white scars appeared after the COVID-19 recovery that caused pain, dysphasia, and dysarthria. The sequencing result based on the internal transcribed spacer rDNA region confirmed Candida glabrata. Its antifungal susceptibility showed susceptibility to nystatin, fluconazole, and caspofungin, but resistance to the other azoles and amphotericin B.

Conclusion

Risk of fungal infections, such as Candida seems to be high in patients with severe COVID-19, mainly affecting the oral mucosa. However, whether they are directly attributed to COVID-19 or other surrounding factors is unknown.

Predictors of intensive care unit admission in adult cancer patients presenting to the emergency department with COVID-19 infection: A retrospective study

BACKGROUND

Adult cancer patients with COVID-19 were shown to be at higher risk of Intensive Care Unit (ICU) admission. Previously published prediction models showed controversy and enforced the importance of heterogeneity among different populations studied. Therefore, this study aimed to identify predictors of ICU admission (demographic, clinical, and COVID-19 targeted medications) in cancer patients with active COVID-19 infection presenting to the Emergency Department (ED).

METHODS

This is a retrospective cohort study. It was conducted on adult cancer patients older than 18 years who presented to the American University of Beirut Medical Center ED from February 21, 2020, till February 21, 2021, and were found to have COVID-19 infection. Relevant data were extracted from electronic medical records. The association between different variables and ICU admission was tested. Logistic regression was done to adjust for confounding variables. A p-value less than 0.05 was considered significant.

RESULTS

Eighty-nine distinct patients were included. About 37% were admitted to the ICU (n = 33). Higher ICU admission was seen in patients who had received chemotherapy within one month, had a respiratory rate at triage above 22 breaths per minute, oxygen saturation less than 95%, and a higher c-reactive protein upon presentation to the ED. After adjusting for confounding variables, only recent chemotherapy and higher respiratory rate at triage were significantly associated with ICU admission.

CONCLUSION

Physicians need to be vigilant when taking care of COVID-19 infected cancer patients. Patients who are tachypneic at presentation and those who have had chemotherapy within one month are at high risk for ICU admission.

COVID-19 Vaccination in Patients With Cancer and Patients Receiving HSCT or CAR-T Therapy: Immune Response, Real-World Effectiveness, and Implications for the Future

Patients with cancer demonstrate an increased vulnerability for infection and severe disease by SARS-CoV-2, the causative agent of COVID-19. Risk factors for severe COVID-19 include comorbidities, uncontrolled disease, and current line of treatment. Although COVID-19 vaccines have afforded some level of protection against infection and severe disease among patients with solid tumors and hematologic malignancies, decreased immunogenicity and real-world effectiveness have been observed among this population compared with healthy individuals. Characterizing and understanding the immune response to increasing doses or differing schedules of COVID-19 vaccines among patients with cancer is important to inform clinical and public health practices. In this article, we review SARS-CoV-2 susceptibility and immune responses to COVID-19 vaccination in patients with solid tumors, hematologic malignancies, and those receiving hematopoietic stem cell transplant or chimeric-antigen receptor T-cell therapy.

Cancer trends and risk factors in China over the past 30 years (1990-2019)

Objective: We retrospectively studied cancer mortality and incidence in China from 1990 to 2019, investigated the cancer trends and risk factors, and analyzed the effects of Gross Domestic Product (GDP) on cancer mortality and incidence. Methods: Data was obtained in "Our world in data" in October 2022 to explore mortality rates of different cancers and their trends and the roles of cancer risk factors, including GDP, air pollution, etc. Results: Over the past 30 years, cancer had been China's second leading cause of death. Tracheal, bronchial, and lung cancers, with an annual growth rate of 6.5%, were the most frequently diagnosed cancers. The burden of different cancers changed as the mortality rate of cancer changed. The age-standardized cancer mortality rate had decreased by 19.0%; cancer deaths in all age groups had increased. While the number of cancer deaths in the elderly aged ≥70 did not increase distinctively, its percentage increased by 52.1% and 1.7% annually. The percentage of patients with new-onset cancer increased by 240% and 8.6% annually. For every USD 1,000 increase in GDP, cancer deaths decreased by 2.3/100,000. Tobacco, meat, and alcohol consumption and BMI had increased and were not conducive to the future control of cancer. Conclusions: We summarized the incidence and mortality of major cancers and their trends in China over the past 30 years and analyzed the effects of GDP and the roles of cancer risk factors. Overall GDP growth and effective control of air pollution reduced cancer mortality, while population aging, smoking, alcohol consumption, BMI increasing, and meat consumption brought challenges for cancer control.

Characteristics and Outcomes of COVID-19 Cancer Patients Admitted to a Portuguese Intensive Care Unit: A Case-Control Study

Cancer patients appear to be a vulnerable group in the COVID-19 pandemic. This study aims to compare clinical characteristics and outcomes of cancer and non-cancer patients with COVID-19 admitted to the ICU. All COVID-19 cancer patients (cases) admitted to a Portuguese ICU between March 2020 and January 2021 were included and matched on age, sex and comorbidities with COVID-19 non-cancer patients (controls); 29 cases and 29 controls were enrolled. Initial symptoms were similar between the two groups. Anemia was significantly superior among cases (76% vs. 45%; p = 0.031). Invasive mechanical ventilation (IMV) need at ICU admission was significantly higher among cases (48% vs. 7%; odds ratio (OR) = 12.600, 95% CI: 2.517-63.063, p = 0.002), but there were no differences for global need for IMV during all-length of ICU stay and mortality rates. In a multivariate model of logistic regression, the risk of IMV need at ICU admission among cases remained statistically significant (adjusted OR = 14.036, 95% CI: 1.337-153.111, p = 0.028). Therefore, compared to critical non-cancer patients, critical cancer patients with COVID-19 had an increased risk for IMV need at the moment of ICU admission, however, not for IMV need during all-length of ICU stay or death.

COVID-19 in cancer patients: update from the joint analysis of the ESMO-CoCARE, BSMO, and PSMO international databases

BACKGROUND

COVID-19 has significantly affected patients with cancer and revealed unanticipated challenges in securing optimal cancer care across different disciplines. The European Society for Medical Oncology COVID-19 and CAncer REgistry (ESMO-CoCARE) is an international, real-world database, collecting data on the natural history, management, and outcomes of patients with cancer and SARS-CoV-2 infection.

METHODS

This is the 2nd CoCARE analysis, jointly with Belgian (Belgian Society of Medical Oncology, BSMO) and Portuguese (Portuguese Society of Medical Oncology, PSMO) registries, with data from January 2020 to December 2021. The aim is to identify significant prognostic factors for COVID-19 hospitalization and mortality (primary outcomes), as well as intensive care unit admission and overall survival (OS) (secondary outcomes). Subgroup analyses by pandemic phase and vaccination status were carried out.

RESULTS

The cohort includes 3294 patients (CoCARE: 2049; BSMO: 928, all hospitalized by eligibility criteria; PSMO: 317), diagnosed in four distinct pandemic phases (January to May 2020: 36%; June to September 2020: 9%; October 2020 to February 2021: 41%; March to December 2021: 12%). COVID-19 hospitalization rate was 54% (CoCARE/PSMO), ICU admission 14%, and COVID-19 mortality 22% (all data). At a 6-month median follow-up, 1013 deaths were recorded with 73% 3-month OS rate. No significant change was observed in COVID-19 mortality among hospitalized patients across the four pandemic phases (30%-33%). Hospitalizations and ICU admission decreased significantly (from 78% to 34% and 16% to 10%, respectively). Among 1522 patients with known vaccination status at COVID-19 diagnosis, 70% were non-vaccinated, 24% had incomplete vaccination, and 7% complete vaccination. Complete vaccination had a protective effect on hospitalization (odds ratio = 0.24; 95% confidence interval [0.14-0.38]), ICU admission (odds ratio = 0.29 [0.09-0.94]), and OS (hazard ratio = 0.39 [0.20-0.76]). In multivariable analyses, COVID-19 hospitalization was associated with patient/cancer characteristics, the first pandemic phase, the presence of COVID-19-related symptoms or inflammatory biomarkers, whereas COVID-19 mortality was significantly higher in symptomatic patients, males, older age, ethnicity other than Asian/Caucasian, Eastern Cooperative Oncology Group performance status ≥2, body mass index <25, hematological malignancy, progressive disease versus no evident disease, and advanced cancer stage.

CONCLUSIONS

The updated CoCARE analysis, jointly with BSMO and PSMO, highlights factors that significantly affect COVID-19 outcomes, providing actionable clues for further reducing mortality.

The COVID-19 Era Is Associated With Delays in Esophageal Cancer Diagnosis and Treatment

INTRODUCTION

The coronavirus disease-2019 (COVID-19) pandemic has substantially affected the delivery of healthcare globally. The purpose of this study was to evaluate the association of this era with the timeline of care in esophageal cancer patients.

METHODS

We performed a retrospective chart-review of patients presenting to a single high-volume tertiary care center with the diagnosis of esophageal cancer. COVID era was defined as March 2020-December 2020 and compared with the year before (3/2019-12/2019).

RESULTS

In total, 117 patients presented in the COVID-era versus 190 in pre-COVID. Stage 3 + 4 disease was found in 77.8% of the patients in the COVID-era compared to 68.9% in the pre-COVID era (P = 0.34). Diagnoses through emergency department admission were 35.5% in the COVID versus 26.7% in the pre-COVID group (P = 0.15). In the COVID era it took a median of 78 d to visit primary care provider (versus 52 d, P = 0.12 in pre-COVID), 45 d to endoscopy (versus 18 d, P = 0.004) and 38 d to treatment initiation (versus 36 d, P = 0.48). Thirty-five percent of the patients underwent esophagectomy compared to 26% in the pre-COVID-era. Median days of intensive-care-unit (ICU) (2 versus 3, P = 0.16) and hospital stay (14 versus 15, P = 0.28) were similar in both groups as well as postoperative 30-day morbidities (63 versus 63%, P = 0.48). One-year follow-up showed 83.7% (95% confidence interval [CI]: 73.8%-90.1%) survival in the COVID-group compared to 76.4% (95% CI: 66.9%-83.5%) in the pre-COVID-group (P = 0.58). Only three patients had a positive COVID result.

CONCLUSIONS

Our institution treated fewer esophageal cancer patients during COVID-19 accompanied by a delay in endoscopic diagnosis. Postoperative outcomes and 1-year survival remained similar.

Impact of Cancerous Pulmonary Involvement on Outcomes in COVID-19 Patients

BACKGROUND

SARS-CoV2 is a highly contagious virus causing COVID-19 (Corona virus disease 2019), which has resulted in more than 6 million deaths worldwide as of June 2022. Mortality in COVID-19 has mainly been attributed to respiratory failure. Previous studies showed that the presence of cancer did not adversely affect the outcome of COVID-19. However, in our clinical practice, it was noted that in cancer patients with pulmonary involvement, COVID-19-related morbidity, and morbidity were high. Therefore, this study was designed to assess the impact of cancerous pulmonary involvement on COVID-19 outcomes and to compare clinical outcomes of COVID-19 in cancer and non-cancer population, with further discretion between cancers with and without pulmonary involvement.

METHODS

We performed a retrospective study from April 2020 until June 2020 with a sample size of 117 patients with a confirmed diagnosis of SARS-CoV2 on nasal swab PCR. Data was extracted from HIS (Hospital Information System). Hospitalization, supplemental oxygen, ventilatory support, and death were compared between non-cancer and cancer patients with a particular focus on pulmonary involvement.

RESULTS

Admissions, supplemental oxygen requirement, and mortality were significantly higher in cancer patients with pulmonary involvement (63.3%, 36.4%, and 45%, respectively) compared to cancer patients without pulmonary involvement (22.1%, 14.7%, and 8.8% respectively) (p-values: 0.00003, 0.003, and 0.00003 respectively). In the non-cancer group, there was no mortality, only 2% required admission, and none needed supplemental oxygen.

CONCLUSION

We conclude that the cancer patient with pulmonary involvement was significantly at higher risk of complications and death from COVID when compared with the non-pulmonary cancer group and the general population.

Socioeconomic correlates of health outcomes and mental health disparity in a sample of cancer patients during the COVID-19 pandemic

AIMS AND OBJECTIVES

To investigate socioeconomic, behavioural and healthcare delivery factors that are associated with health outcomes of cancer patients during the COVID-19 pandemic, especially among underserved cancer patients.

BACKGROUND

Cancer patients are at a higher risk of adverse physical and mental health outcomes during the pandemic than those without cancer.

DESIGN

Cross-sectional online survey. We followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines in this study.

METHODS

The sample comprised 322 individuals diagnosed with incident cancer between January 2019 and January 2020. Demographically, 64% were female, 49% had a college degree, 12% were African American, and 88% were White (77% of the Whites were from metropolitan and 23% from nonmetropolitan areas). Descriptive analysis and multivariable regression analyses of global health status, depression and irritability were performed.

RESULTS

After adjusting for demographic variables and comorbidity, the feelings of loneliness, crowded living space, lower confidence in taking preventive measures and less satisfaction with telehealth visits were significantly associated with poorer global health, depression and irritability. Daily exercise was associated with better global health, and difficulty in getting medicine was associated with depression and irritability. Moreover, African Americans who felt lonely reported more depression and irritability and those who had less confidence in taking preventive measures reported more irritability than Whites. Respondents having low income and feeling lonely reported more depression than others.

CONCLUSIONS

In this study, socioeconomic factors (e.g. loneliness or crowded living conditions) were as important to health outcomes during the pandemic as behavioural (e.g. prevention and exercises) and quality-of-care factors (e.g. telehealth, access to medicine). Disparity was more pronounced in the mental health of African Americans and those with low incomes.

RELEVANCE TO CLINICAL PRACTICE

Healthcare providers should promote social support and physical activity for improving health and reducing mental health disparities among cancer patients.

Impact of comorbidities on hospitalised Syrian patients with COVID-19: a retrospective study

OBJECTIVES

This study aims to compare the clinical manifestations, laboratory findings, outcomes and overall survival time of patients with COVID-19 with and without comorbidities.

DESIGN

Retrospective design.

SETTING

This study was undertaken at two hospitals in Damascus.

PARTICIPANTS

A total of 515 Syrian patients met the inclusion criterion, laboratory-confirmed COVID-19 infection following the Centers for Disease Control and Prevention. Exclusion criteria were suspected and probable cases that were not confirmed with a positive reverse transcription-PCR assay, and patients who self-discharged from the hospital against medical advice.

PRIMARY AND SECONDARY OUTCOME MEASURES

First, assess the impacts of comorbidities on COVID-19 infection in four areas (clinical manifestations, laboratory findings, severity and outcomes). Second, calculate the overall survival time for patients with COVID-19 with comorbidities.

RESULTS

Of 515 patients included, 316 (61.4%) were male and 347 (67.4%) had at least one coexisting chronic disease. Patients with comorbidities compared with no comorbidities were more vulnerable to poor outcomes such as severe infection (32.0% vs 9.5%, p<0.001), severe complications (34.6% vs 9.5%, p<0.001), the need for mechanical ventilation (28.8% vs 7.7%, p<0.001) and death (32.0% vs 8.3%, p<0.001). Multiple logistic regression showed that age ≥65 years old, positive smoking history, having ≥2 comorbidities and chronic obstructive pulmonary disease were risk factors linked to severe COVID-19 infection in patients with comorbidities. Overall survival time was lower among patients with comorbidities (vs no comorbidities), patients with ≥2 comorbidities (vs one comorbidity), and patients with hypertension, chronic obstructive pulmonary disease, malignancy or obesity (vs other comorbidities) (p<0.05).

CONCLUSION

This study revealed that COVID-19 infection had poor outcomes among those with comorbidities. Severe complications, mechanical ventilation usage and death were more prevalent among patients with comorbidities compared with those with no comorbidities.

Vaccination status and attitudes towards COVID-19 vaccination in patients undergoing active cancer treatment in a referral center in Mexico: a survey study

BACKGROUND

COVID-19 vaccination refusal/hesitancy among patients with cancer has been reported to be high. This study aimed to assess vaccination status and attitudes towards COVID-19 vaccines in patients with cancer undergoing active treatment in a single center in Mexico.

METHODS

A cross-sectional, 26-item survey evaluating vaccination status and attitudes towards COVID-19 vaccination was conducted among patients undergoing active cancer treatment. Descriptive statistics were used to analyze the sociodemographic characteristics, vaccination status, and attitudes. X2 tests and multivariate analysis were used to evaluate associations between characteristics and attitudes with adequate vaccination status.

RESULTS

Of 201 respondents, 95% had received at least one dose, and 67% had adequate COVID-19 vaccination status (≥ 3 doses). Thirty-six percent of patients had at least one reason for doubting/rejecting vaccination, and the main reason was being afraid of side effects. On multivariate analysis, age ≥ 60 years (odds ratio (OR) 3.77), mass media as main source of information on COVID-19 (OR 2.55), agreeing vaccination against COVID-19 is safe in patients with cancer (OR 3.11), and not being afraid of the composition of the COVID-19 vaccines (OR 5.10) statistically increased the likelihood of adequate vaccination status.

CONCLUSIONS

Our study shows high vaccination rates and positive attitudes towards COVID-19 vaccines, with a significant proportion of patients undergoing active cancer treatment with adequate vaccination status (≥ 3 doses). Older age, use of mass media as main source of COVID-19 information, and positive attitudes towards COVID-19 vaccines were significantly associated with a higher likelihood of adequate COVID-19 vaccination status among patients with cancer.

The Influence of COVID-19 on New Lung Cancer Diagnoses, by Stage and Treatment, in Northern Italy

The COVID-19 pandemic has had a significant impact on new cancer diagnoses. This study aims to evaluate the implications of the lockdown period on new lung cancer diagnoses in northern Italy. We compared 2020 with 2019 cancer registry data, reporting the variations by age, stage, and treatments. In 2020, 303 lung cancer cases were registered, 21 fewer than in 2019. Cases fell in men (−31 patients, 9.6%) but not in women (+10 patients, +3.1%). A significant drop in stage I from 19.8% to 12.9% (p < 0.05) and an increase in stage III (12.7% vs. 19.1%; p < 0.05) was observed. Histological confirmation dropped (70.1% vs. 60.1%; p < 0.05) while cytology increased (12% vs. 20.8%; p < 0.01). Surgery declined (28.7% vs. 21.5%; p < 0.05) but increased in stage III (19.5% vs. 25.9%; p = 0.46), while chemotherapy increased (17.6% vs. 34.3%; p < 0.01) for all stages. During the pandemic, new lung cancer diagnoses dropped only in men. The reorganization of health services has ensured a decrease in surgical interventions (due to the unavailability of operating rooms) counterbalanced by an increase in chemotherapy.

The handling of biopharmaceuticals used in home-based therapy for cancer patients

BACKGROUND

Due to their low bioavailability, biopharmaceuticals are typically administered via injection or infusion in a hospital setting. Home-based therapy could be a valuable alternative for cancer patients. However, when exposed to stressors, such as high or low temperatures, particles can form in the biopharmaceutical solution, compromising the safety and efficacy of the biopharmaceutical.

AIM

This research investigated current practises with ready-to-administer biopharmaceuticals to determine if it is possible to offer cancer patients home-based therapy with monoclonal antibodies.

METHODS

First, a questionnaire was conducted with the survey tool Survalyzer among Amsterdam UMC patients receiving immunoglobulins at home. Secondly, a web-based questionnaire (Survalyzer) was sent to pharmacists throughout Europe with a home-based therapy programme in place.

RESULTS

The patient questionnaire (n = 52) showed that the biopharmaceutical is stored outside the recommended temperature range by 38% of the patients. Additionally, 17% of the patients do not recall getting any information on how to store their biopharmaceuticals, and 23% would like more information on the subject. Furthermore, the questionnaire amongst pharmacists (n = 21) showed that there is a lack of resources and logistical challenges when home-based therapy is applied to biopharmaceuticals used in cancer therapy.

CONCLUSION

Home-based therapy with monoclonal antibodies for cancer patients is challenging to implement.

Safety Following COVID-19 Booster Vaccine with BNT162b2 Compared to mRNA-1273 in Solid Cancer Patients Previously Vaccinated with ChAdOx1 or CoronaVac

Safety data following the COVID-19 booster mRNA vaccine in solid cancer patients are scarce. We prospectively evaluated adverse events after a booster dose of the BNT162b2 vaccine as compared to the mRNA-1273 vaccine in solid malignancy patients who had previously received two doses of ChAdOx1 or heterogenous CoronaVac/ChAdOx1. Data regarding solicited and unsolicited adverse events were collected using questionnaires. The primary endpoint was the difference in incidence and severity of adverse events between BNT162b2 and mRNA-1273 vaccines. A total of 370 subjects were enrolled, including 172 (47%) and 198 (54%) patients receiving booster doses of BNT162b2 and mRNA-1273 vaccines, respectively. The overall incidence of adverse events in the two groups was comparable (BNT162b2 vs. mRNA-1273; 63% vs. 66%, p = 0.6). There was no significant difference in severity, and the majority of adverse events reported were classed as mild to moderate. Tenderness at the injection site was the only reaction that had a statistically higher reported incidence after the mRNA-1273 vaccine than after the BNT162b2 vaccine (56% vs. 41%, p = 0.003). In conclusion, a booster dose of the mRNA vaccine, either BNT162b2 or mRNA-1273, in solid cancer patients previously vaccinated with ChAdOx1 and CoronaVac appears safe, and no new safety concerns were observed.

Risk Factors for One-Year Mortality in Hospitalized Adults with Severe COVID-19

As the body's immunity declines with age, elderly-hospitalized patients due to COVID-19 might be at higher mortality risk. Therefore, the aim of this prospective study was to examine the possible risk factors (demographic, social or comorbidities) most associated with mortality one-year after diagnosis of COVID-19. Routine data were collected from a cohort of hospitalized adults with severe COVID-19. The primary endpoint was mortality at one-year after diagnosis of COVID-19. We used a Cox proportional hazard model to estimate the hazard ratios (HRs) for both all-cause and specific cardiorespiratory mortality. A fully adjusted model included sex, socioeconomic status, institutionalization status, disability, smoking habit, and comorbidities as confounders. A total of 368 severe cases hospitalized on average 67.3 ± 15.9 years old were included. Participants aged ≥ 71 years had significantly higher HRs for all-cause mortality (adjusted HRs = 2.86, 95%CI: 2.01-4.07) and cardiorespiratory mortality (adjusted HRs = 2.86, 95%CI: 1.99-4.12). The association between age and mortality after diagnosis of COVID-19 due to both all-causes and cardiorespiratory mortality showed a consistent dose-response fashion. Institutionalization, disability, and socioeconomic status also showed a significant association with mortality. In conclusion, aging itself was the most important risk factor associated with mortality one year after diagnosis of COVID-19. People with disabilities, institutionalized or low socioeconomic status are significantly more likely to die after COVID-19.

Unexpected CD5+ B Cell Lymphocytosis during SARS-CoV-2 Infection: Relevance for the Pathophysiology of Chronic Lymphocytic Leukemia

Recently, cases of fortuitous discovery of Chronic Lymphocytic Leukemia (CLL) during hospitalization for Coronavirus disease (COVID-19) have been reported. These patients did not show a monoclonal B cell expansion before COVID-19 but were diagnosed with CLL upon a sudden lymphocytosis that occurred during hospitalization. The (hyper)lymphocytosis during COVID-19 was also described in patients with overt CLL disease. Contextually, lymphocytosis is an unexpected phenomenon since it is an uncommon feature in the COVID-19 patient population, who rather tend to experience lymphopenia. Thus, lymphocytosis that arises during COVID-19 infection is a thought-provoking behavior, strikingly in contrast with that observed in non-CLL individuals. Herein, we speculate about the possible mechanisms involved with the observed phenomenon. Many of the plausible explanations might have an adverse impact on these CLL patients and further clinical and laboratory investigations might be desirable.

Cancer and COVID-19 Vaccines on Twitter:The Voice and Vaccine Attitude of Cancer Community

We investigate social media discourses on the relationship between cancer and COVID-19 vaccines focusing on the key textual topics, themes reflecting the voice of cancer community, authors who contribute to the discourse, and valence toward vaccines. We analyzed 6,427 tweets about cancer and COVID-19 vaccines, posted from when vaccines were approved in the U.S. (December 2020) to the February 2022. We mixed quantitative text mining, manual coding and statistical analysis, and inductive qualitative thematic analysis. Nearly 16% of the tweets posted by a cancer community member mentioned about refusal or delay of their vaccination at the state/local level during the initial rollout despite the CDC's recommendation to prioritize adults with high-risk medical conditions. Most tweets posted by cancer patients (pro = 82.4% vs. anti = 5.1%) and caregivers (pro = 89.2% vs. anti = 4.2%) showed positive valence toward vaccines and advocated for vaccine uptake increase among cancer patients and the general population. Vaccine hesitancy, self-reported adverse events, and COVID-19 disruption of cancer treatment also appeared as key themes. The cancer community called for actions to improve vaccination procedures to become safe and accessible especially for elderly cancer patients, develop COVID-19 vaccines suitable for varying type, stage, and treatment of cancer, and advance cancer vaccines. Future research should continue surveilling conversations around continuous impacts of COVID-19 interference with the cancer control continuum, beyond vaccination, focusing on the voice and concern of cancer community.

Challenges faced in the cancer diagnosis and management-COVID-19 pandemic and beyond-Lessons for future

The COVID-19 pandemic with multiple waves of infection has caused panic and distress globally. Cancer patients being immuno-compromised are more susceptible to infection leading to increased morbidity and unpredictability of their survival. There has been a halt in the diagnosis and treatment of patients suffering from cancer because of the COVID-19 pandemic. Oncologists have the tedious task of assessing the urgency of managing cancer patients against the risk of Coronavirus infection. Timely diagnostic services along with the treatment strategy are needed for the proper management of cancer patients. Since the laboratories are already overwhelmed with the investigations related to the COVID-19 management, there has been a compromise and delay in the diagnosis, thus leading to an overall lag in the management of cancer patients.

The Interplay of Lung Cancer, COVID-19, and Vaccines

Patients with cancer are more susceptible to a higher risk of coronavirus infection and its severe complications than the general population. In addition, these patients were not included in the pivotal clinical trials for COVID-19 vaccines. Therefore, considerable uncertainty remains regarding the management of cancer patients during the COVID-19 pandemic and the safety of COVID-19 vaccinations in cancer patients. In this review, we summarize the current knowledge generated from the beginning of the COVID-19 pandemic on the vulnerability of cancer patients to the coronavirus disease, as well as the effectiveness of COVID-19 vaccines in this population. We also discuss the available data on the effects of anticancer treatment with immune checkpoint inhibitors on the immune responses to SARS-CoV-2 in cancer patients. Special attention in this review will be given to patients with lung cancer, as such patients are at an increased risk for severe effects from COVID-19.

Immunogenicity evaluation of ChAdox1 nCov-19 (AZD1222) vaccine in solid cancer patients in Chulabhorn Hospital

INTRODUCTION

Cancer patients are more vulnerable to coronavirus disease 2019 (COVID-19) owing to their compromised immune status. However, data regarding COVID-19 vaccine safety and immune response in cancer patients are scarce.

METHOD

This prospective, age- and sex-matched, single-center cohort study included 61 cancer patients and 122 healthy control participants. Seropositivity was defined as anti-S IgG titer >0.8 units/ml. Primary end point was seroconversion rate of immunoglobulin (Ig)G antibodies against the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike (S) protein (anti-S IgG) in cancer patients vs. healthy control participants following the second dose of COVID-19 vaccine ChAdOx1 nCoV-19 (AZD1222).

RESULTS

After the second-dose vaccination, there was no difference in seropositivity rate between groups (57 [93.44%] patients with cancer vs. 121 [99.18%] control participants; geometric mean ratio [GMR]: 0.39; 95%CI: 0.01-10.46; p-value = 0.571). In contrast, after the first-dose vaccination, the seropositivity rate was significantly lower in the cancer patients than in the control participants (50/61 [81.97%] vs. 121/122 [99.18%]; GMR: 0.07; 95%CI: 0.01-0.71; p = 0.025). The median anti-S IgG titer after the first-and second dose vaccination were not significantly different between groups. Female sex was significantly associated with a higher anti-S IgG titer. 5FU- and taxane-based chemotherapy regimens were associated with a lower IgG titer. Side effects of vaccination were tolerable.

CONCLUSIONS

The anti-S IgG seropositivity rate after completing the second vaccine dose did not differ between the cancer patients and control participants. However, the anti-S IgG seropositivity rate after the first-dose vaccination was lower in cancer patients.

Vaccine-Related adverse events following AZD1222 (ChAdOx1-nCoV-19) Covid-19 vaccine in solid malignancy patients receiving cancer treatment, as compared to age-matched healthy controls

The study aimed to evaluate vaccine-related adverse events (VRAEs) following ChAdOx1-nCoV-19 vaccine in solid cancer patients receiving treatment compared to healthy controls. 399 cancer patients and 90 healthy volunteers were enrolled. In the overall population, the incidence of VRAEs was significantly lower in cancer patients than in healthy volunteers (57% vs 80%, P < .001). Because the mean age of the cancer patients was higher than the healthy volunteers (59 vs 48 years, P < .001), we analyzed age-matched comparison and found that there was no significant difference of VRAEs between two groups (74% vs 79%, P .32). Most VRAEs were of mild severity in both groups. The most common local VRAE was pain at the injection site in both groups, and the most common systemic VRAE was fatigue in the cancer cohort, while myalgia was the most common VRAE among the healthy controls. In the cancer cohort, fever was the only VRAE that led to interruption of the cancer treatment (in two cases). Among the cancer treatment types, patients undergoing chemotherapy-containing regimens had a lower likelihood of experiencing VRAEs. In summary, the overall incidence of VRAEs following ChAdOx1-nCoV-19 vaccine in actively treated cancer patients was comparable to healthy controls after adjusting for age. The VRAEs that occurred rarely interfered with the cancer treatment. These findings substantiate that vaccination with AZD1222 is safe in cancer patients undergoing treatment.

Individual-level factors associated with COVID-19 vaccine acceptance among U.S. patients with cancer

INTRODUCTION

Vaccine hesitancy in the wake of the COVID-19 pandemic is a major public health concern in the US. Cancer patients are especially vulnerable to adverse COVID-19 outcomes and require targeted prevention efforts against COVID-19.

METHODS

We used longitudinal survey data from patients seen at Moffitt Cancer Center to identify attitudes, beliefs, and sociodemographic factors associated with COVID-19 vaccination acceptance among cancer patients. Patients with confirmed invasive cancer diagnosis through Cancer Registry data were asked about vaccine acceptance through the question "Now that a COVID-19 vaccine is available, are you likely to get it?" and dichotomized into high accepters (already received it, would get it when available) and low accepters (waiting for a doctor to recommend it, waiting until more people received it, not likely to get it).

RESULTS

Most patients (86.8% of 5,814) were high accepters of the COVID-19 vaccine. High accepters had more confidence in the effectiveness and safety of the vaccine than low accepters. Multivariable logistic regression showed older individuals (70-89 vs.18-49: OR:2.57, 95% CI:1.33-4.86), those with greater perceived severity of COVID-19 infection (very serious vs. not at all serious: OR:2.55, 95% CI:1.76-3.70), practicing more risk mitigation behaviors (per one standard deviation OR:1.75, 95% CI:1.57-1.95), and history of receiving the flu shot versus not (OR:6.56, 95% CI:5.25-8.20) had higher odds of vaccine acceptance. Individuals living with more than one other person (vs. alone: OR: 0.53, 95% CI: 0.35, 0.79) and those who were more socioeconomically disadvantaged (per 10 percentile points: OR: 0.89, 95 %CI: 0.85, 0.93) had lower odds of reporting vaccine acceptance.

CONCLUSION

Most patients with cancer have or would receive the COVID-19 vaccine. Those who are less likely to accept the vaccine have more concerns regarding effectiveness and side effects, are younger, more socioeconomically disadvantaged, and have lower perceptions of COVID-19 severity.

SARS-Cov-2 infection in cancer patients, susceptibility, outcome and care

The COVID-19 pandemic has led to many problems in cancer patients, which in part are due to insufficient knowledge of the exact implications of the virus on these individuals. Perceptions based on known facts about previous pandemics and coronaviruses might not agree with actual real-life experience and objective findings. We present a compilation of scientific facts and actual observations on different aspects of SARS-CoV-2 infection in cancer patients. These patients are at increased risk of viral contraction and have higher chances of severe disease/mortality. The latter is impacted by other factors and is still debated. In contrast to preliminary impressions, the benefits of anti-cancer treatments outweigh their risks and should be continued. Cancer patients generate antibodies in response to vaccination but in lower amounts than healthy people, especially those with hematologic cancers. Boosters, including third doses, have shown increased immune-responses in most patients. Vaccination should be prioritized in these individuals.

Current global research landscape on COVID-19 and cancer: Bibliometric and visualization analysis

BACKGROUND

Cancer is a severe public health issue that seriously jeopardizes global health. In individuals with coronavirus disease 2019 (COVID-19), cancer is considered an independent risk factor for severe illness and increased mortality.

AIM

To identify research hotspots and prospects, we used bibliometrics to examine the global production of COVID-19 literature published in the field of oncology.

METHODS

Data on publication output were identified based on the Scopus database between January 1, 2020, and June 21, 2022. This study used VOSviewer to analyze collaboration networks among countries and assess the terms most often used in the titles and abstracts of retrieved publications to determine research hotspots linked to cancer and COVID-19. The Impact Index Per Article for the top 10 high-cited papers collected from Reference Citation Analysis (RCA) are presented.

RESULTS

A total of 7015 publications were retrieved from the database. The United States published the greatest number of articles (2025; 28.87%), followed by Italy (964; 13.74%), the United Kingdom (839; 11.96%), and China (538; 7.67%). The University of Texas MD Anderson Cancer Center (n = 205, 2.92%) ranked first, followed by the Memorial Sloan-Kettering Cancer Center (n = 176, 2.51%). The European Journal of Cancer (n = 106, 1.51%) ranked first, followed by the Frontiers in Oncology (n = 104, 1.48%), Cancers (n = 102, 1.45%), and Pediatric Blood and Cancer (n = 95; 1.35%). The hot topics were stratified into "cancer care management during the COVID-19 pandemic"; and "COVID-19 vaccines in cancer patients".

CONCLUSION

This is the first bibliometric analysis to determine the present state and upcoming hot themes related to cancer and COVID-19 and vice versa using VOSviewer during the early stages of the pandemic. The emergence of hot themes related to cancer and COVID-19 may aid researchers in identifying new research areas in this field.

Health influence of SARS-CoV-2 (COVID-19) on cancer: a review

The novel coronavirus, namely, SARS-CoV-2 (COVID-19), broke out two years ago and has caused major global health issues. Adequate treatment options are still lacking for the management of COVID-19 viral infections. Many patients afflicted with COVID-19 may range from asymptomatic to severe symptomatic, triggering poor clinical outcomes, morbidity, and mortality. Cancer is one of the leading causes of death worldwide. It is pertinent to re-examine cancer prevalence during the COVID-19 pandemic to prevent mortality and complications. Understanding the impact of SARS-CoV-2 on cancer is key to appropriate healthcare measures for the treatment and prevention of this vulnerable population. Data was acquired from PubMed using key search terms. Additional databases were utilized, such as the Centers for Disease Prevention and Control, American Cancer Society (ACS), and National Cancer Institute (NCI). Cancer patients are more prone to SARS-CoV-2 infection and exhibit poor health outcomes, possibly due to a chronic immunosuppressive state and anticancer therapies. Male sex, older age, and active cancer disease or previous cancer are risk factors for COVID-19 infection, leading to possible severe complications, including morbidity or mortality. The speculated mechanism for potentially higher mortality or COVID-19 complications is through reduced immune system function and inflammatory processes through cancer disease, anticancer therapy, and active COVID-19 infection. This review includes prostate, breast, ovarian, hematologic, lung, colorectal, esophageal, bladder, pancreatic, cervical, and head and neck cancers. This review should help better maintain the health of cancer patients and direct clinicians for COVID-19 prevention to improve the overall health outcomes.

Methodological Considerations on COVID-19 Mortality in Cancer Patients: A Systematic Review and Meta-Analysis

BACKGROUND

Patients with cancer are at risk for severe COVID-19. Previous studies examining mortality in cancer patients with COVID-19 have produced inconclusive results. Several published meta-analyses have aimed to estimate this association; however, because of methodological limitations in study selection and data aggregation, these studies do not reliably estimate the independent association between cancer and COVID-19 mortality. We conducted this systematic review and meta-analysis to determine whether cancer is an independent risk factor for COVID-19 mortality.

METHODS

A literature search was performed in PubMed to identify studies that compared COVID-19 mortality in adult patients with and without cancer. Selection criteria included polymerase chain reaction-confirmed COVID-19, multivariate adjustment and/or matching for mortality risk estimates, and inclusion of hospitalized noncancer controls. Adjusted odds ratios and/or hazard ratios for mortality based on cancer status were extracted. Odds ratio and hazard ratio estimates were pooled using a random effects model.

RESULTS

The analysis included 42 studies comprising 129 840 patients: 8612 cancer patients and 121 228 noncancer patients. Of these studies, 18 showed a null difference in survival between cancer and noncancer patients with COVID-19, and 24 studies showed statistically significantly worse survival in cancer patients with COVID-19. Meta-analysis revealed an increased risk of mortality in patients with cancer compared with noncancer patients with COVID-19 (odds ratio = 1.93, 95% confidence interval = 1.55 to 2.41; hazard ratio = 1.54, 95% confidence interval = 1.29 to 1.84).

CONCLUSION

We conclude that cancer is an independent risk factor for mortality in unvaccinated patients admitted for or diagnosed with COVID-19 during hospitalization.

Clinical characteristics and outcomes of lung cancer patients with COVID-19: A systematic review and meta-analysis protocol

Background

COVID-19 is spreading rapidly worldwide, and the population is generally susceptible to SARS-CoV-2, especially those with cancer. Hence, our study aims to design a protocol for a systematic review and meta-analysis of the clinical characteristics and prognoses of lung cancer patients with COVID-19.

Methods

The protocol is prepared following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. The literature will be searched in Embase, Pubmed, the Cochrane Library, LitCovid, and CNKI for potentially eligible articles. The quality of the articles will be used in the Newcastle-Ottawa Quality Assessment Scale (NOS) and Cochrane Handbook for Systematic Reviews of Interventions. Statistical analysis will be performed through RevMan 5 software. This review protocol has been registered in PROSPERO (CRD42022306866).

Discussion

To clarify whether COVID-19 affects the clinical symptoms and prognoses of lung cancer patients. Further study is needed to establish the best evidence-based for the management of lung cancer patients with COVID-19.

Conclusion

The definitive conclusion will be important to physicians effectively manage lung cancer patients with COVID-19.

Personalized survival probabilities for SARS-CoV-2 positive patients by explainable machine learning

Interpretable risk assessment of SARS-CoV-2 positive patients can aid clinicians to implement precision medicine. Here we trained a machine learning model to predict mortality within 12 weeks of a first positive SARS-CoV-2 test. By leveraging data on 33,938 confirmed SARS-CoV-2 cases in eastern Denmark, we considered 2723 variables extracted from electronic health records (EHR) including demographics, diagnoses, medications, laboratory test results and vital parameters. A discrete-time framework for survival modelling enabled us to predict personalized survival curves and explain individual risk factors. Performance on the test set was measured with a weighted concordance index of 0.95 and an area under the curve for precision-recall of 0.71. Age, sex, number of medications, previous hospitalizations and lymphocyte counts were identified as top mortality risk factors. Our explainable survival model developed on EHR data also revealed temporal dynamics of the 22 selected risk factors. Upon further validation, this model may allow direct reporting of personalized survival probabilities in routine care.

Risk Factors Associated with Mortality in COVID-19 Hospitalized Patients: Data from the Middle East

This study aimed to assess the risk factors for COVID-19 mortality among hospitalized patients in Jordan. All COVID-19 patients admitted to a tertiary hospital in Jordan from September 20, 2020, to August 8, 2021, were included in this study. Demographics, clinical characteristics, comorbidities, and laboratory results were extracted from the patients' electronic records. Multivariable logistic and machine learning (ML) methods were used to study variable importance. Out of 1,613 COVID-19 patients, 1,004 (62.2%) were discharged from the hospital (survived), while 609 (37.8%) died. Patients who were of elderly age (>65 years) (OR, 2.01; 95% CI, 1.28-3.16), current smokers (OR, 1.61; 95%CI, 1.17-2.23), and had severe or critical illness at admission ((OR, 1.56; 95%CI, 1.05-2.32) (OR, 2.94; 95%CI, 2.02-4.27); respectively), were at higher risk of mortality. Comorbidities including chronic kidney disease (OR, 2.90; 95% CI, 1.90-4.43), deep venous thrombosis (OR, 2.62; 95% CI, 1.08-6.35), malignancy (OR, 2.22; 95% CI, 1.46-3.38), diabetes (OR, 1.31; 95% CI, 1.04-1.65), and heart failure (OR, 1.51; 95% CI, 1.02-2.23) were significantly associated with increased risk of mortality. Laboratory abnormalities associated with mortality included hypernatremia (OR, 11.37; 95% CI, 4.33-29.81), elevated aspartate aminotransferase (OR, 1.81; 95% CI, 1.42-2.31), hypoalbuminemia (OR, 1.75; 95% CI, 1.37-2.25), and low platelets level (OR, 1.43; 95% CI, 1.05-1.95). Several demographic, clinical, and laboratory risk factors for COVID-19 mortality were identified. This study is the first to examine the risk factors associated with mortality using ML methods in the Middle East. This will contribute to a better understanding of the impact of the disease and improve the outcome of the pandemic worldwide.

COVID-19 patient with B Cell Lymphoma co-morbidity managed with co-administration of Ayurvedic formulation

‘Renaissance took place in Chaos and plague’. It was COVID-19 pandemic, when world realized ayurveda co-interventions are praiseworthy even in acute, infective and fatal conditions like COVID-19. We report perhaps first case of COVID-19 patient with cancer managed with poly-herbal ayurvedic formulation and integrated approach. In the first wave of COVID-19 (June 2020), a 47 year old male with history of Chronic kidney disease and active B Cell Lymphoma complained of fever, malaise, cattarah and ageusia. He was found positive on RT-PCR which was done promptly and was later treated in home quarantine with antipyretics, Vitamin C and Madhav rasayan a polyherbal preparation containing Piper longum, Glycyrrhiza glabra, Eclipta alba, Achyranthes aspera, Embelia ribes and Aloe vera designed to modulate host response. It was challenging to treat a patient with cancer with immunocompromised status as he had recently finished his chemotherapy cycle (R–CHOP regimen). Patient well tolerated the intervention and recovered symptomatically. He did not developed any respiratory complications and oxygen saturation remained maintained. On 7th day RT-PCR was found to be negative. Plethora of literature is available on anti-viral and immunomodulatory efficacies of Ayurveda herbs based on in vitro studies. Such efficacies can be replicated at patient's level if supported with wisdom of Ayurveda epistemology. Early diagnosis on RT-PCR and early inception of ayurveda medicine and diet interventions might be crucial element for better recovery.

Conceptual Framework for Cancer Care During a Pandemic Incorporating Evidence From the COVID-19 Pandemic

PURPOSE

With successive infection waves and the spread of more infectious variants, the COVID-19 pandemic continues to have major impacts on health care. To achieve best outcomes for patients with cancer during a pandemic, efforts to minimize the increased risk of severe pandemic infection must be carefully balanced against unintended adverse impacts of the pandemic on cancer care, with consideration to available health system capacity. Cancer Australia's conceptual framework for cancer care during a pandemic provides a planning resource for health services and policy-makers that can be broadly applied globally and to similar pandemics.

METHODS

Evidence on the impact of the COVID-19 pandemic on cancer care and health system capacity to June 2021 was reviewed, and the conceptual framework was developed and updated.

RESULTS

Components of health system capacity vary during a pandemic, and capacity relative to pandemic numbers and severity affects resources available for cancer care delivery. The challenges of successive pandemic waves and high numbers of pandemic cases necessitate consideration of changing health system capacity in decision making about cancer care. Cancer Australia’s conceptual framework provides guidance on continuation of care across the cancer pathway, in the face of challenges to health systems, while minimizing infection risk for patients with cancer and unintended consequences of delays in screening, diagnosis, and cancer treatment and backlogs because of service interruption.

CONCLUSION

Evidence from the COVID-19 pandemic supports continuation of cancer care wherever possible during similar pandemics. Cancer Australia's conceptual framework, underpinned by principles for optimal cancer care, informs decision making across the cancer care continuum. It incorporates consideration of changes in health system capacity and capacity for cancer care, in relation to pandemic progression, enabling broad applicability to different global settings.