COVID-19 and Cancer: A Review of the Registry-Based Pandemic Response

Factors Associated with Self-reported COVID-19 Infection and Hospitalization among Patients Seeking Care at a Comprehensive Cancer Center

BACKGROUND

COVID-19 infection severity differs by race and ethnicity, but its long-term effect on cancer-related outcomes is unknown. Therefore, information on COVID-19 history is critical to ascertain among new cancer patients in order to advance research on its impact on cancer outcomes and potentially related health disparities.

METHODS

A cross-sectional study was conducted among 16,025 new patients seeking care at Moffitt Cancer Center (MCC) between 2021 and 2022. Patient self-reported histories of COVID-19 infection and other pre-existing health conditions were obtained from electronic questionnaires administered to all new MCC patients. Associations between demographics and COVID-19 infection and hospitalization were examined.

RESULTS

A total of 1,971 patients (12.3%) reported ever having COVID-19. Self-reported COVID-19 history was significantly more prevalent in Hispanic vs. non-Hispanic patients (OR = 1.24, 1.05-1.45) and less prevalent in Asian versus White patients (OR = 0.49, 95% 0.33-0.70). Among patients who ever had COVID-19, 10.6% reported a COVID-19-related hospitalization. Males had higher odds of a COVID-19 related hospitalization than females (OR = 1.50, 95% CI = 1.09-2.05), as did Black/African American patients (OR = 2.11, 95% CI = 1.18-3.60) and patients of races other than Black/African American and Asian (OR = 2.61, 95% CI = 1.43-4.54) compared to White patients. Hispanic patients also experienced higher odds of hospitalization (OR = 2.06, 95% CI-1.29- 3.23) compared with non-Hispanic patients of all races in a sensitivity analysis that combined race/ethnicity. Pre-existing lung and breathing problems were associated with higher odds of being hospitalized with COVID-19 (OR = 2.38, 95% CI = 1.61-3.48), but these and other health conditions did not explain the observed associations between race and COVID-19 hospitalization.

CONCLUSIONS

Higher rates of COVID-19 hospitalization were observed among patients identifying as Black/African American or Hispanic independent of pre-existing health conditions. Future studies evaluating long-term effects of COVID-19 should carefully examine potential racial/ethnic disparities in cancer outcomes.

Global, regional, and national burden of acute lymphoblastic leukemia in children: Epidemiological trends analysis from 1990 to 2021

Children are the main susceptible group to acute lymphoblastic leukemia (ALL), and the lack of sufficient data has impeded a comprehensive understanding of its global impact. This study analyzed the annual numbers and rates of incidence, deaths, and disability-adjusted life years (DALYs) of childhood ALL from 1990 to 2021, disaggregated by age group, gender, and socio-demographic index (SDI) at the global, regional, and national levels, based on the 2021 Global Burden of Disease (GBD) database. Although global deaths and DALYs rates for childhood ALL showed declining trends, the incidence rate fluctuated. Incidence rates in high SDI regions were higher, but deaths and DALY rates were lower. Moreover, the burden in Sub-Saharan Africa and other low SDI countries was growing. The burden on boys has been higher than on girls in this period. This study underscored improving prevention and treatment measures are critical to control the persistent global burden of children ALL.

Efficacy and safety of interim oncology treatments introduced for solid cancers during the COVID-19 pandemic in England: a retrospective evidence-based analysis

Background

The COVID-19 global pandemic placed unprecedented pressure on cancer services, requiring new interim Systemic Anti-Cancer Treatments (SACT) options to mitigate risks to patients and maintain cancer services. In this study we analyse interim COVID-19 SACT therapy options recommended in England, evaluating the evidence supporting inclusion and delineating how these have been integrated into routine cancer care.

Methods

We performed a retrospective analysis of interim Systemic Anti-Cancer Treatments endorsed by NHS England during the COVID-19 pandemic. Interim therapy options were compared to baseline (replacement) therapies by comparing data from the key pivotal trial(s) in terms of clinical efficacy and potential benefits (e.g., reduced immunosuppression or improved adverse effect profile) within the context of the pandemic. Furthermore, we evaluated the evolution of these interim SACT options, exploring if these have been integrated into current treatment pathways or are no longer accessible at the pandemic end.

Findings

31 interim oncology treatment options, across 36 indications, for solid cancers were endorsed by NHS England between March 2020 and August 2021. Interim therapies focused on the metastatic setting (83%; 30/36), allowing greater utilisation of immune checkpoint inhibitors (45%; 14/31) and targeted therapies (26%; 8/31), in place of cytotoxic chemotherapy. Overall, 36% (13/36) of therapies could not have efficacy compared with baseline treatments due to a paucity of evidence. For those which could, 39% (9/23) had superior efficacy (e.g., overall survival), 26% (6/23) had equivocal efficacy and 35% (8/23) lower efficacy. 53% (19/36) of interim therapies had better or equivocal toxicity profiles (when assessable), and/or were associated with reduced immunosuppression. Almost half (47%; 17/36) of interim therapies did not have UK market authorisation, being classified as 'off label' use. Analysing access to interim options at the end of the pandemic (May 2023) identified 19 (53% 19/36) interim options were fully available, and a further four (11% 4/36) therapies were partially available.

Interpretation

Interim SACT options, introduced in England, across a range of solid cancers supported delivery of cancer services during the pandemic. Most interim therapies did not demonstrate superior efficacy, but provided other important benefits (e.g., reduced immunosuppression) in the context of the pandemic.

Funding

None.

Adolescents and young adults with cancer: the clinical course of COVID-19 infections

Adolescents and young adults (ie, individuals aged 15-39 years, known as AYAs) with cancer face unique vulnerabilities yet remain underrepresented in clinical trials, including adult registries of COVID-19 in cancer (AYAs: 8%-12%). We used the Pediatric Oncology COVID-19 Case Report to examine the clinical course of COVID-19 among AYAs with cancer. The Pediatric Oncology COVID-19 Case Report collects deidentified clinical and sociodemographic data regarding individuals aged from birth to 39 years with cancer (37%) and COVID-19 from more than 100 institutions. Between April 1, 2020, and November 28, 2023, 191 older AYAs (individuals 22-39 years of age) and 640 younger AYAs (individuals 15-21 years of age) were captured. Older AYAs were less often hospitalized (P < .001), admitted to the intensive care unit (P = .02), and required respiratory support (P = .057). In multivariable analyses, older AYAs faced 80% lower odds of intensive care unit admission but 2.3-times greater odds of changes to cancer-directed therapy. Unvaccinated patients had 5.4-times higher odds of intensive care unit admission. Among AYAs with cancer, the COVID-19 course varies by age. These findings can inform oncology teams directing COVID-19 management and prevention in AYA patients with cancer.

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.

Impact of COVID-19 on Management and Outcomes of Oncology Patients: Results of MENA COVID-19 and Cancer Registry (MCCR)

INTRODUCTION

Despite extensive studies of the impact of COVID-19 on patients with cancer, there is a dearth of information from the Middle East and North Africa (MENA) region. Our study aimed to report pertinent MENA COVID-19 and Cancer Registry (MCCR) findings on patient management and outcomes.

METHODS

MCCR was adapted from the American Society of Clinical Oncology COVID-19 Registry to collect data specifically from patients with cancer and SARS-CoV-2 infection from 12 centers in eight countries including Saudi Arabia, Jordan, Lebanon, Turkey, Egypt, Algeria, United Arab Emirates, and Morocco. The Registry included data on patients and disease characteristics, treatment, and patient outcomes. Logistic regression was used to assess associations with mortality.

RESULTS

Between November 29, 2020, and June 8, 2021, data were captured on 2008 patients diagnosed with COVID-19 from the beginning of the pandemic. Median age was 56 years (16-98), 56.4% were females, and 26% were current or ex-smokers. Breast cancer (28.5%) was the leading diagnosis and 50.5% had metastatic disease. Delays of planned treatment (>14 days) occurred in 80.3% for surgery, 48.8% for radiation therapy, and 32.9% for systemic therapy. Significant reduction in the delays of all three treatment modalities occurred after June 1, 2020. All-cause mortality rates at 30 and 90 days were 17.1% and 23.4%, respectively. All-cause mortality rates at 30 days did not change significantly after June 1, 2020; however, 90-day mortality increased from 33.4% to 42.9% before and after that date (p = 0.015). Multivariable regression analysis showed the following predictors of higher 30- and 90-day mortality: age older than 70 years, having metastatic disease, disease progression, and being off chemotherapy.

CONCLUSION

Patients with cancer in the MENA region experienced similar risks and outcome of COVID-19 as reported in other populations. Although there were fewer treatment delays after June 1, 2020, 90-day mortality increased, which may be attributed to other risk factors such as disease progression or new patients who presented with more advanced disease.

Conceptual framework for establishing twins prevention and continuous health promotion programme: a qualitative study

BACKGROUND

Twin registries and cohorts face numerous challenges, including significant resource allocation, twins' recruitment and retention. This study aimed to assess expert feedback on a proposed pragmatic idea for launching a continuous health promotion and prevention programme (HPPP) to establish and maintain twin cohorts.

DESIGN

A qualitative study incorporating an inductive thematic analysis.

SETTING

Tehran University of Medical Sciences.

PARTICIPANTS

Researchers with expertise in twin studies participated in our study.

ANALYSIS AND DESIGN

Expert opinions were gathered through focus group discussions (FGDs). Thematic analysis was employed to analyse the findings and develop a model for designing a comprehensive, long-term health promotion programme using ATLAS.ti software. Additionally, a standardised framework was developed to represent the conceptual model of the twin HPPP.

RESULTS

Eight FGDs were conducted, involving 16 experts. Thematic analysis identified eight themes and seven subthemes that encompassed the critical aspects of a continuous monitoring programme for twin health. Based on these identified themes, a conceptual framework was developed for the implementation of an HPPP tailored for twins.

CONCLUSION

This study presented the initial endeavour to establish a comprehensive and practical solution in the form of a continuous HPPP designed to tackle the obstacles of twins' cohorts.

The Outcomes of Patients with Omicron Variant Infection who Undergo Elective Surgery: A Propensity-score-matched Case-control Study

Aim: To investigate whether it is safe for patients with Omicron variant infection to undergo surgery during perioperative period. Methods: A total of 3,661 surgical patients were enrolled: 3,081 who were not infected with the Omicron variant and 580 who were infected with the Omicron variant. We conducted propensity score matching (PSM) with a ratio of 1:4 and a caliper value of 0.1 to match the infected and uninfected groups based on 13 variables. After PSM, we further divided the Infected group (560 cases) by the number of days between the preoperative Omicron variant infection and surgery: 0-7, 8-14, 15-30, and >30 days. Multivariate logistic regression analysis was subsequently conducted on the categorical variables and continuous variables with a P value below 0.05, thereby comparing the infected group (0-7, 8-14, 15-30, >30 days) and the uninfected group for perioperative complications. Results: Multivariate logistic regression analysis revealed that, compared to the uninfected group, among the four subgroups of the infected patients (0-7, 8-14, 15-30, >30 days), only renal insufficiency in the 8-14 days subgroup (OR: 0.09, 95%CI 0.01-0.74, P = 0.025) and anemia in the > 30 days subgroup (OR 0.6, 95%CI 0.4-0.9, P < 0.017) showed significant difference. However, there was no statistically significant difference in the incidence rate of blood transfusion, postoperative intensive care unit transfer, lung infection/pneumonia, pleural effusion, atelectasis, respiratory failure, sepsis, postoperative deep vein thrombosis, hypoalbuminemia, urinary tract infections, and medical expenses. Conclusion: Omicron infection does not significantly increase the risk of perioperative major complications. The Omicron infection may not be a sufficient risk factor to postpone elective surgery.

A global comparative analysis of the the inclusion of priority setting in national COVID-19 pandemic plans: A reflection on the methods and the accessibility of the plans

BACKGROUND

Despite the swift governments' response to the COVID-19 pandemic, there remains a paucity of literature assessing the degree to which; priority setting (PS) was included in the pandemic plans and the pandemic plans were publicly accessible. This paper reflects on the methods employed in a global comparative analysis of the degree to which countries integrated PS into their COVID-19 pandemic plans based on Kapiriri & Martin's framework. We also assessed if the accessibility of the plans was related to the country's transparency index.

METHODS

Through a three stage search strategy, we accessed and reviewed 86 national COVID-19 pandemic plans (and 11 Canadian provinces and territories). Secondary analysis assessed any alignment between the readily accessible plans and the country's transparency index.

RESULTS AND CONCLUSION

71 national plans were readily accessible while 43 were not. There were no systematic differences between the countries whose plans were readily available and those whose plans were 'missing'. However, most of the countries with 'missing' plans tended to have a low transparency index. The framework was adapted to the pandemic context by adding a parameter on the need to plan for continuity of priority routine services. While document review may be the most feasible and appropriate approach to conducting policy analysis during health emergencies, interviews and follow up document review would assess policy implementation.

Impact of SARS-CoV-2 vaccines and recent chemotherapy on COVID-19 morbidity and mortality in patients with soft tissue sarcoma: an analysis from the OnCovid registry

Background

To date, limited evidence exists on the impact of COVID-19 in patients with soft tissue sarcoma (STS), nor about the impact of SARS-CoV-2 vaccines and recent chemotherapy on COVID-19 morbidity and mortality in this specific population.

Methods

We described COVID-19 morbidity and mortality among patients with STS across 'Omicron' (15 December 2021-31 January 2022), 'Pre-vaccination' (27 February 2020-30 November 2020), and 'Alpha-Delta' phase (01 December 2020-14 December 2021) using OnCovid registry participants (NCT04393974). Case fatality rate at 28 days (CFR28) and COVID-19 severity were also described according to the SARS-CoV-2 vaccination status, while the impact of the receipt of cytotoxic chemotherapy within 4 weeks prior to COVID-19 on clinical outcomes was assessed with Inverse Probability of Treatment Weighting (IPTW) models adjusted for possible confounders.

Results

Out of 3820 patients, 97 patients with STS were included. The median age at COVID-19 diagnosis was 56 years (range: 18-92), with 65 patients (67%) aged < 65 years and most patients had a low comorbidity burden (65, 67.0%). The most frequent primary tumor sites were the abdomen (56.7%) and the gynecological tract (12.4%). In total, 36 (37.1%) patients were on cytotoxic chemotherapy within 4 weeks prior to COVID-19. The overall CFR28 was 25.8%, with 38% oxygen therapy requirement, 34% rate of complications, and 32.3% of hospitalizations due to COVID-19. CFR28 (29.5%, 21.4%, and 12.5%) and all indicators of COVID-19 severity demonstrated a trend toward a numerical improvement across the pandemic phases. Similarly, vaccinated patients demonstrated numerically improved CFR28 (16.7% versus 27.7%) and COVID-19 morbidity compared with unvaccinated patients. Patients who were on chemotherapy experienced comparable CFR28 (19.4% versus 26.0%, p = 0.4803), hospitalizations (50.0% versus 44.4%, p = 0.6883), complication rates (30.6% versus 34.0%, p = 0.7381), and oxygen therapy requirement (28.1% versus 40.0%, p = 0.2755) compared to those who were not on anticancer therapy at COVID-19, findings further confirmed by the IPTW-fitted multivariable analysis.

Conclusion

In this study, we demonstrate an improvement in COVID-19 outcomes in patients with STS over time. Recent exposure to chemotherapy does not impact COVID-19 morbidity and mortality and SARS-CoV-2 vaccination confers protection against adverse outcomes from COVID-19 in this patient population.

Cancer management during the COVID-19 world pandemic

Since 2019, the world has been experiencing an outbreak of a novel beta-coronavirus, severe acute respiratory syndrome coronavirus (SARS-CoV)-2. The worldwide spread of this virus has been a severe challenge for public health, and the World Health Organization declared the outbreak a public health emergency of international concern. As of June 8, 2023, the virus' rapid spread had caused over 767 million infections and more than 6.94 million deaths worldwide. Unlike previous SARS-CoV-1 and Middle East respiratory syndrome coronavirus outbreaks, the COVID-19 outbreak has led to a high death rate in infected patients; this has been caused by multiorgan failure, which might be due to the widespread presence of angiotensin-converting enzyme 2 (ACE2) receptors-functional receptors of SARS-CoV-2-in multiple organs. Patients with cancer may be particularly susceptible to COVID-19 because cancer treatments (e.g., chemotherapy, immunotherapy) suppress the immune system. Thus, patients with cancer and COVID-19 may have a poor prognosis. Knowing how to manage the treatment of patients with cancer who may be infected with SARS-CoV-2 is essential. Treatment decisions must be made on a case-by-case basis, and patient stratification is necessary during COVID-19 outbreaks. Here, we review the management of COVID-19 in patients with cancer and focus on the measures that should be adopted for these patients on the basis of the organs or tissues affected by cancer and by the tumor stage.

Stochastic tumor-immune interaction model with external treatments and time delays: An optimal control problem

Herein, we discuss an optimal control problem (OC-P) of a stochastic delay differential model to describe the dynamics of tumor-immune interactions under stochastic white noises and external treatments. The required criteria for the existence of an ergodic stationary distribution and possible extinction of tumors are obtained through Lyapunov functional theory. A stochastic optimality system is developed to reduce tumor cells using some control variables. The study found that combining white noises and time delays greatly affected the dynamics of the tumor-immune interaction model. Based on numerical results, it can be shown which variables are optimal for controlling tumor growth and which controls are effective for reducing tumor growth. With some conditions, white noise reduces tumor cell growth in the optimality problem. Some numerical simulations are conducted to validate the main results.

The safety of digestive tract cancer surgery during COVID-19: A living systematic review and meta-analysis

Surgery is the primary curative treatment of solid cancers. However, its safety has been compromised by the outbreak of COVID-19. Therefore, it is necessary to evaluate the safety of digestive tract cancer surgery in the context of COVID-19. We used the Review Manager software (v.5.4) and Stata software (version 16.0) for meta-analysis and statistical analysis. Sixteen retrospective studies involving 17,077 patients met the inclusion criteria. The data indicates that performing digestive tract cancer surgery during the COVID-19 pandemic led to increased blood loss(MD = -11.31, 95%CI:-21.43 to -1.20, P = 0.03), but did not increase postoperative complications(OR = 1.03, 95%CI:0.78 to1.35, P = 0 0.86), anastomotic leakage (OR = 0.96, 95%CI:0.52 to1.77, P = 0 0.89), postoperative mortality (OR = 0.65, 95%CI:0.40 to1.07, P = 0 0.09), number of transfusions (OR = 0.74, 95%CI:0.30 to 1.80, P = 0.51), number of patients requiring ICU care(OR = 1.37, 95%CI:0.90 to 2.07, P = 0.14), postoperative 30-d readmission (OR = 0.94, 95%CI:0.82 to 1.07, P = 0 0.33), total hospital stay (MD = 0.11, 95%CI:-2.37 to 2.59, P = 0.93), preoperative waiting time(MD = - 0.78, 95%CI:-2.34 to 0.79, P = 0.33), postoperative hospital stay(MD = - 0.44, 95%CI:-1.61 to 0.74, P = 0.47), total operation time(MD = -12.99, 95%CI:-28.00 to 2.02, P = 0.09) and postoperative ICU stay (MD = - 0.02, 95%CI:-0.62 to 0.57, P = 0.94). Digestive tract cancer surgery can be safely performed during the COVID-19.

Risk and Severity of COVID-19 Infection in Monoclonal Gammopathy of Undetermined Significance: A 3-Year Propensity Matched Cohort Study

INTRODUCTION

Monoclonal gammopathy of undetermined significance (MGUS) is a premalignant disorder causing monoclonal plasma cell proliferation in bone marrow. This population is at risk of developing multiple myeloma (MM) and severe viral infections; risk factors of severe COVID-19 infection. Using TriNetX, a global platform providing data of 120 million patients, we aimed to quantify the risk and severity of COVID-19 in MGUS patients.

PATIENTS AND METHODS

A retrospective cohort analysis was performed using the TriNetX Global Collaborative Network. From January 20, 2020, to January 20, 2023, we identified a cohort of 58,859 MGUS patients and compared to non-MGUS patients, determined by relevant diagnosis/LOINC test codes. After 1:1 propensity score-matching, we identified COVID-19 cases to quantify risk and identify patients who had been hospitalized, ventilated/intubated, and deceased to quantify severity. Measures of association and Kaplan-Meier analysis were conducted.

RESULTS

After propensity-score matching, there were 58,668 patients in both cohorts. MGUS patients were found to be at a reduced risk of contracting COVID-19 (RR 0.88, 95% CI 0.85-0.91). MGUS patients with COVID-19 showed higher mortality risk and decreased survival time compared to the general population (HR 1.14, 95% CI 1.01-1.27). MGUS patients with COVID-19 who were hospitalized exhibited significantly decreased survival time (log-rank test, P = 0.04).

CONCLUSION

As COVID-19 remains a looming health concern, especially amongst vulnerable populations, our analysis emphasizes the need for adequate vaccination and treatment regimens as well as an understanding of the severity of infection in MGUS patients and justification for precautionary measures.

SARS-CoV-2 Infection, Hospitalization, and Mortality in Adults With and Without Cancer

Importance

Patients with cancer are at increased risk of SARS-CoV-2-associated adverse outcomes.

Objective

To determine the associations of tumor type with SARS-CoV-2 infection, hospitalization, intensive care unit (ICU) admission, and death.

Design, Setting, and Participants

This retrospective, population-based cohort study included community-dwelling adults aged at least 18 years in Ontario, Canada, ICES-linked provincial health databases from January 1, 2020, to November 30, 2021. Data were analyzed from December 1, 2021, to November 1, 2022.

Exposures

Cancer diagnosis.

Main Outcomes and Measures

The primary outcome was SARS-CoV-2 infection, and secondary outcomes included all-cause 14-day hospitalization, 21-day ICU admission, and 28-day death following SARS-CoV-2 infection. Cox proportional hazards models were used to obtain adjusted hazard ratios (aHRs) and 95% CIs.

Results

Of 11 732 108 people in the ICES-linked health databases, 279 287 had cancer (57.2% female; mean [SD] age, 65.9 [16.1] years) and 11 452 821 people did not have cancer (45.7% female; mean [SD] age, 65.9 [16.0] years). Overall, 464 574 individuals (4.1%) developed SARS-CoV-2 infection. Individuals with hematologic malignant neoplasms (33 901 individuals) were at increased risk of SARS-CoV-2 infection (aHR, 1.19; 95% CI, 1.13-1.25), 14-day hospitalization (aHR, 1.75; 95% CI, 1.57-1.96), and 28-day mortality (aHR, 2.03; 95% CI, 1.74-2.38) compared with the overall population, while individuals with solid tumors (245 386 individuals) were at lower risk of SARS-CoV-2 infection (aHR, 0.93; 95% CI, 0.91-0.95) but increased risk of 14-day hospitalization (aHR, 1.11; 95% CI, 1.05-1.18) and 28-day mortality (aHR, 1.31; 95% CI, 1.19-1.44). The 28-day mortality rate was high in hospitalized patients with hematologic malignant neoplasms (163 of 321 hospitalized patients [50.7%]) or solid tumors (486 of 1060 hospitalized patients [45.8%]). However, the risk of 21-day ICU admission in patients with hematologic malignant neoplasms (aHR, 1.14; 95% CI, 0.93-1.40) or solid tumors (aHR, 0.93; 95% CI, 0.82-1.05) was not significantly different from that among individuals without cancer. The SARS-CoV-2 infection risk decreased stepwise with increasing numbers of COVID-19 vaccine doses received (1 dose: aHR, 0.63; 95% CI, 0.62-0.63; 2 doses: aHR, 0.16; 95% CI, 0.16-0.16; 3 doses: aHR, 0.05; 95% CI, 0.04-0.06).

Conclusions and Relevance

These findings highlight the importance of prioritization strategies regarding ICU access to reduce the mortality risk in increased-risk populations, such as patients with cancer.

Assessment of Gender-Specific COVID-19 Case Fatality Risk per Malignant Neoplasm Type

Importance

While the characteristics of COVID-19 infection and mortality among patients with a malignant neoplasm have previously been examined, little data are available for gender-specific COVID-19 mortality.

Objective

To examine the gender-specific COVID-19 case fatality risks among patients with a malignant neoplasm.

Design, Setting, and Participants

In this cohort study using the Healthcare Cost and Utilization Project's National Inpatient Sample, patients admitted to the hospital from April to December 2020 with a diagnosis of COVID-19 infection were identified by the World Health Organization's International Statistical Classification of Diseases and Related Health Problems, Tenth Revision code U07.1. Data analysis was performed from November 2022 to January 2023.

Exposure

Diagnosis of malignant neoplasm, identified and classified according to the National Cancer Institute's definition.

Main Outcome and Measure

COVID-19 in-hospital case fatality rate, defined as the number of deaths that occurred during index hospital admissions.

Results

There were 1 622 755 patients who were admitted to the hospital from April 1 to December 31, 2020, with a diagnosis of COVID-19. The cohort-level COVID-19 in-hospital case fatality rate was 12.9% with a median time to death of 5 days (IQR, 2-11 days). Frequently reported morbidities among the patients with COVID-19 included pneumonia (74.3%), respiratory failure (52.9%), cardiac arrythmia or cardiac arrest (29.3%), acute kidney injury (28.0%), sepsis (24.6%), shock (8.6%), cerebrovascular accident (5.2%), and venous thromboembolism or pulmonary embolism (5.0%). In a multivariable analysis, gender (male vs female, 14.5% vs 11.2%; adjusted odds ratio [aOR], 1.28; 95% CI, 1.27-1.30) and malignant neoplasm (17.9% vs 12.7%; aOR, 1.29; 95% CI, 1.27-1.32) were both associated with increased COVID-19 in-hospital case fatality risk at the cohort level. Among the group of female patients, there were 5 malignant neoplasms in which the COVID-19 in-hospital case fatality risk was greater than 2-fold higher. These included anal cancer (23.8%; aOR, 2.94; 95% CI, 1.84-4.69), Hodgkin lymphoma (19.5%; aOR, 2.79; 95% CI, 1.90-4.08), non-Hodgkin lymphoma (22.4%; aOR, 2.23; 95% CI, 2.02-2.47), lung cancer (24.3%; aOR, 2.21; 95% CI, 2.03-2.39), and ovarian cancer (19.4%; aOR, 2.15; 95% CI, 1.79-2.59). Among the group of male patients, Kaposi sarcoma (33.3%; aOR, 2.08; 95% CI, 1.18-3.66) and malignant neoplasm in the small intestine (28.6%; aOR, 2.04; 95% CI, 1.18-3.53) had a greater than 2-fold increased COVID-19 in-hospital case mortality risk.

Conclusions and Relevance

The results of this cohort study confirmed the substantial case fatality rate among patients with COVID-19 in the early pandemic experience in 2020 in the US. While COVID-19 in-hospital case fatality risks were lower among women compared with men, the associations of a concurrent malignant neoplasm with the COVID-19 case fatality were overall more substantial for women than for men.

Pandemic Phase-Adjusted Analysis of COVID-19 Outcomes Reveals Reduced Intrinsic Vulnerability and Substantial Vaccine Protection From Severe Acute Respiratory Syndrome Coronavirus 2 in Patients With Breast Cancer

PURPOSE

Although representing the majority of newly diagnosed cancers, patients with breast cancer appear less vulnerable to COVID-19 mortality compared with other malignancies. In the absence of patients on active cancer therapy included in vaccination trials, a contemporary real-world evaluation of outcomes during the various pandemic phases, as well as of the impact of vaccination, is needed to better inform clinical practice.

METHODS

We compared COVID-19 morbidity and mortality among patients with breast cancer across prevaccination (February 27, 2020-November 30, 2020), Alpha-Delta (December 1, 2020-December 14, 2021), and Omicron (December 15, 2021-January 31, 2022) phases using OnCovid registry participants (ClinicalTrials.gov identifier: NCT04393974). Twenty-eight-day case fatality rate (CFR28) and COVID-19 severity were compared in unvaccinated versus double-dosed/boosted patients (vaccinated) with inverse probability of treatment weighting models adjusted for country of origin, age, number of comorbidities, tumor stage, and receipt of systemic anticancer therapy within 1 month of COVID-19 diagnosis.

RESULTS

By the data lock of February 4, 2022, the registry counted 613 eligible patients with breast cancer: 60.1% (n = 312) hormone receptor-positive, 25.2% (n = 131) human epidermal growth factor receptor 2-positive, and 14.6% (n = 76) triple-negative. The majority (61%; n = 374) had localized/locally advanced disease. Median age was 62 years (interquartile range, 51-74 years). A total of 193 patients (31.5%) presented ≥ 2 comorbidities and 69% (n = 330) were never smokers. In total, 392 (63.9%), 164 (26.8%), and 57 (9.3%) were diagnosed during the prevaccination, Alpha-Delta, and Omicron phases, respectively. Analysis of CFR28 demonstrates comparable estimates of mortality across the three pandemic phases (13.9%, 12.2%, 5.3%, respectively; P = .182). Nevertheless, a significant improvement in outcome measures of COVID-19 severity across the three pandemic time periods was observed. Importantly, when reported separately, unvaccinated patients from the Alpha-Delta and Omicron phases achieved comparable outcomes to those from the prevaccination phase. Of 566 patients eligible for the vaccination analysis, 72 (12.7%) were fully vaccinated and 494 (87.3%) were unvaccinated. We confirmed with inverse probability of treatment weighting multivariable analysis and following a clustered robust correction for participating center that vaccinated patients achieved improved CFR28 (odds ratio [OR], 0.19; 95% CI, 0.09 to 0.40), hospitalization (OR, 0.28; 95% CI, 0.11 to 0.69), COVID-19 complications (OR, 0.16; 95% CI, 0.06 to 0.45), and reduced requirement of COVID-19-specific therapy (OR, 0.24; 95% CI, 0.09 to 0.63) and oxygen therapy (OR, 0.24; 95% CI, 0.09 to 0.67) compared with unvaccinated controls.

CONCLUSION

Our findings highlight a consistent reduction of COVID-19 severity in patients with breast cancer during the Omicron outbreak in Europe. We also demonstrate that even in this population, a complete severe acute respiratory syndrome coronavirus 2 vaccination course is a strong determinant of improved morbidity and mortality from COVID-19.

Was priority setting included in the Canadian COVID-19 pandemic planning and preparedness? A comparative analysis of COVID-19 pandemic plans from Eight provinces and Three territories

Background

Variation in priorities during pandemic planning among the federal, provincial and territorial jurisdictions are thought to have impacted Canada's ability to effectively control the spread of the COVID-19 virus, and protect the most vulnerable. The potential influence of diverse and divergent political, cultural, and behavioural factors, regarding inclusion of priority setting (PS) in pandemic preparedness planning across the country is not well understood. This study aimed to examine how the Canadian federal, provincial and territorial COVID-19 pandemic preparedness planning documents integrated PS.

Methods

A documentary analysis of the federal, eight provincial, three territorial COVID-19 preparedness and response plans. We assessed the degree to which the documented PS processes fulfilled established quality requirements of effective PS using the Kapiriri & Martin framework.

Results

While the federal plan included most of the parameters of effective PS, the provinces and territories reflected few. The lack of obligation for the provinces and territories to emulate the federal plan is one of the possible reasons for the varying inclusion of these parameters. The parameters included did not vary systematically with the jurisdiction's context.

Conclusion

Provinces could consider using the framework of the federal plan and the WHO guidelines to guide future pandemic planning. Regular evaluation of the instituted PS would provide a mechanism through which lessons can be harnessed and improvement strategies developed. Future studies should describe and evaluate what PS mechanisms were implemented.

Response to COVID-19 vaccination post CAR T therapy in patients with non-Hodgkin lymphoma and multiple myeloma

COVID-19 adversely affects individuals with cancer. Several studies have found that seroconversion rates among patients with hematologic malignancies are suboptimal when compared to patients without cancer. Patients with non-Hodgkin lymphoma (NHL) and multiple myeloma (MM) are immunocompromised due to impaired humoral and cellular immunity in addition to prescribed immunosuppressive therapy. Chimeric antigen receptor T-cell (CAR T) therapy is now widely used for NHL and MM, but little is known about seroconversion rates after COVID-19 vaccination among these populations. We evaluated SARS-CoV-2 spike-binding IgG antibody levels following COVID-19 vaccination among NHL and MM CAR T therapy recipients. Out of 104 CAR T infusions, 19 patients developed known COVID-19 infection post-CAR T. We tested 17 patients that received CAR T for antibody spike titers post COVID-19 vaccination, only 29 % (n = 5) were able to mount a clinically relevant antibody response (>250 IU/mL).

Long COVID: Clinical Framing, Biomarkers, and Therapeutic Approaches

More than two years after the onset of the COVID-19 pandemic, healthcare providers are facing an emergency within an emergency, the so-called long COVID or post-COVID-19 syndrome (PCS). Patients diagnosed with PCS develop an extended range of persistent symptoms and/or complications from COVID-19. The risk factors and clinical manifestations are many and various. Advanced age, sex/gender, and pre-existing conditions certainly influence the pathogenesis and course of this syndrome. However, the absence of precise diagnostic and prognostic biomarkers may further complicate the clinical management of patients. This review aimed to summarize recent evidence on the factors influencing PCS, possible biomarkers, and therapeutic approaches. Older patients recovered approximately one month earlier than younger patients, with higher rates of symptoms. Fatigue during the acute phase of COVID-19 appears to be an important risk factor for symptom persistence. Female sex, older age, and active smoking are associated with a higher risk of developing PCS. The incidence of cognitive decline and the risk of death are higher in PCS patients than in controls. Complementary and alternative medicine appears to be associated with improvement in symptoms, particularly fatigue. The heterogeneous nature of post-COVID symptoms and the complexity of patients with PCS, who are often polytreated due to concomitant clinical conditions, suggest a holistic and integrated approach to provide useful guidance for the treatment and overall management of long COVID.

Relations of Current and Past Cancer with Severe Outcomes among 104,590 Hospitalized COVID-19 Patients: The COVID EHR Cohort at the University of Wisconsin

BACKGROUND

There is mixed evidence about the relations of current versus past cancer with severe COVID-19 outcomes and how they vary by patient and cancer characteristics.

METHODS

Electronic health record data of 104,590 adult hospitalized patients with COVID-19 were obtained from 21 United States health systems from February 2020 through September 2021. In-hospital mortality and ICU admission were predicted from current and past cancer diagnoses. Moderation by patient characteristics, vaccination status, cancer type, and year of the pandemic was examined.

RESULTS

6.8% of the patients had current (n = 7,141) and 6.5% had past (n = 6,749) cancer diagnoses. Current cancer predicted both severe outcomes but past cancer did not; adjusted odds ratios (aOR) for mortality were 1.58 [95% confidence interval (CI), 1.46-1.70] and 1.04 (95% CI, 0.96-1.13), respectively. Mortality rates decreased over the pandemic but the incremental risk of current cancer persisted, with the increment being larger among younger vs. older patients. Prior COVID-19 vaccination reduced mortality generally and among those with current cancer (aOR, 0.69; 95% CI, 0.53-0.90).

CONCLUSIONS

Current cancer, especially among younger patients, posed a substantially increased risk for death and ICU admission among patients with COVID-19; prior COVID-19 vaccination mitigated the risk associated with current cancer. Past history of cancer was not associated with higher risks for severe COVID-19 outcomes for most cancer types.

IMPACT

This study clarifies the characteristics that modify the risk associated with cancer on severe COVID-19 outcomes across the first 20 months of the COVID-19 pandemic. See related commentary by Egan et al., p. 3.

The Importance of Recency of Cancer Diagnosis in Patients Hospitalized with COVID-19-Glimpses from an EHR-based Study

Multiple prior studies have shown an increased risk of severe disease and death from SARS-CoV-2 infection in patients with cancer. Nolan and colleagues conducted a multi-institution, electronic health record (EHR)-based study of adults hospitalized with COVID-19 delineating the difference in outcomes when stratified by current versus former cancer diagnosis and found that only a current diagnosis appears to confer an increased risk of severe COVID-19 and death.We review these findings in the context of other studies examining outcomes for individuals with cancer diagnoses and COVID-19. We also address questions raised by this type of study about the significant challenges of EHR-based studies and discuss potential avenues for future research in this arena. See related article by Nolan et al., p. 12.

SARS-CoV-2 infection in patients with melanoma: results of the Spanish Melanoma Group registry

BACKGROUND

The Spanish Melanoma Group (GEM) developed a national registry of patients with melanoma infected by SARS-CoV-2 ("GRAVID").

METHODS

The main objective was to describe the COVID-19 fatality rate in patients with melanoma throughout the pandemic, as well as to explore the effect of melanoma treatment and tumor stage on the risk of COVID-19 complications. These are the final data of the register, including cases from February 2020 to September 2021.

RESULTS

One hundred-fifty cases were registered. Median age was 68 years (range 6-95), 61 (40%) patients were females, and 63 (42%) patients had stage IV. Thirty-nine (26%) were on treatment with immunotherapy, and 17 (11%) with BRAF-MEK inhibitors. COVID-19 was resolved in 119 cases, including 85 (57%) patients cured, 15 (10%) that died due to melanoma, and 20 (13%) that died due to COVID-19. Only age over 60 years, cardiovascular disorders, and diabetes mellitus increased the risk of death due to COVID-19, but not advanced melanoma stage nor melanoma systemic therapies. Three waves have been covered by the register: February-May 2020, August-November 2020, and December 2020-April 2021. The first wave had the highest number of registered cases and COVID-19 mortality.

CONCLUSION

Tumor stage or melanoma treatments are non-significant prognostic factors for COVID-19 mortality. During the pandemic in Spain there was a downward trend in the number of patients registered across the waves, as well as in the severity of the infection.

CLINICALTRIALS

GOV IDENTIFIER

NCT04344002.

Habitat Imaging Biomarkers for Diagnosis and Prognosis in Cancer Patients Infected with COVID-19

OBJECTIVES

Cancer patients have worse outcomes from the COVID-19 infection and greater need for ventilator support and elevated mortality rates than the general population. However, previous artificial intelligence (AI) studies focused on patients without cancer to develop diagnosis and severity prediction models. Little is known about how the AI models perform in cancer patients. In this study, we aim to develop a computational framework for COVID-19 diagnosis and severity prediction particularly in a cancer population and further compare it head-to-head to a general population.

METHODS

We have enrolled multi-center international cohorts with 531 CT scans from 502 general patients and 420 CT scans from 414 cancer patients. In particular, the habitat imaging pipeline was developed to quantify the complex infection patterns by partitioning the whole lung regions into phenotypically different subregions. Subsequently, various machine learning models nested with feature selection were built for COVID-19 detection and severity prediction.

RESULTS

These models showed almost perfect performance in COVID-19 infection diagnosis and predicting its severity during cross validation. Our analysis revealed that models built separately on the cancer population performed significantly better than those built on the general population and locked to test on the cancer population. This may be because of the significant difference among the habitat features across the two different cohorts.

CONCLUSIONS

Taken together, our habitat imaging analysis as a proof-of-concept study has highlighted the unique radiologic features of cancer patients and demonstrated effectiveness of CT-based machine learning model in informing COVID-19 management in the cancer population.

Areas of Uncertainty in SARS-CoV-2 Vaccination for Cancer Patients

Early in the COVID-19 pandemic, it was recognized that infection with SARS-CoV-2 is associated with increased morbidity and mortality in patients with cancer; therefore, preventive vaccination in cancer survivors is expected to be particularly impactful. Heterogeneity in how a neoplastic disease diagnosis and treatment interferes with humoral and cellular immunity, however, poses a number of challenges in vaccination strategies. Herein, the available literature on the effectiveness of COVID-19 vaccines among patients with cancer is critically appraised under the lens of anti-neoplastic treatment optimization. The objective of this review is to highlight areas of uncertainty, where more research could inform future SARS-CoV-2 immunization programs and maximize benefits in the high-risk cancer survivor population, and also minimize cancer treatment deviations from standard practices.

The impact of the COVID-19 pandemic on palliative care practice: A survey of clinical oncologists

Background

Palliative care is an essential intervention to improve the quality of life for patients with cancer, whereas the ongoing COVID-19 pandemic poses a challenge to supportive and palliative care providers. This survey aims to explore the current status of palliative care practice for cancer and the influence of COVID-19, from the perspective of oncologists.

Methods

The semi-structure electronic questionnaire was designed. Mixed-mode surveys including electronic questionnaires, face-to-face interactions, and telephone interviews were adopted according to the willingness of respondents. Face-to-face and telephone interviews were based on same questions in the online questionnaire. Participants working in cancer-related departments with frontline palliative care experience during the COVID-19 outbreak were included. Surveys covered experiences and perspectives regarding the impact of COVID-19 on clinical work, personal lives, and palliative care practice. Suggestions on coping strategies were further proposed and qualitatively analyzed.

Results

Thirty-seven oncologists participated in this study from September 2021 to January 2022. The majority of them believed COVID-19 significantly and negatively affected their clinical work routines (75.7%), personal daily lives (67.6%), and palliative care practice (64.9%). Most specialists considered that currently the palliative care system remained underdeveloped (73.0%), and other factors besides COVID-19 were associated with this situation (78.4%). Seventeen participants further made suggestions on how to promote palliative care during COVID-19, and three themes emerged through the qualitative analysis: (1) Remote or online service (88.2%); (2) Publicity, education, or shared decision-making for patients (29.4%); (3) Guidelines, training, or programs for care providers (23.6%).

Conclusion

Oncologists consider that COVID-19 has an adverse impact on their palliative care practice and daily routine. In addition to COVID-19, other factors affecting palliative care should not be neglected. Corresponding measures are warranted to encourage palliative care practice during COVID-19.

Natural immunity to SARS-CoV-2 and breakthrough infections in vaccinated and unvaccinated patients with cancer

BACKGROUND

Consolidated evidence suggests spontaneous immunity from SARS-CoV-2 is not durable, leading to the risk of reinfection, especially in the context of newly emerging viral strains. In patients with cancer who survive COVID-19 prevalence and severity of SARS-CoV-2 reinfections are unknown.

METHODS

We aimed to document natural history and outcome from SARS-CoV-2 reinfection in patients recruited to OnCovid (NCT04393974), an active European registry enrolling consecutive patients with a history of solid or haematologic malignancy diagnosed with COVID-19.

RESULTS

As of December 2021, out of 3108 eligible participants, 1806 COVID-19 survivors were subsequently followed at participating institutions. Among them, 34 reinfections (1.9%) were reported after a median time of 152 days (range: 40-620) from the first COVID-19 diagnosis, and with a median observation period from the second infection of 115 days (95% CI: 27-196). Most of the first infections were diagnosed in 2020 (27, 79.4%), while most of reinfections in 2021 (25, 73.5%). Haematological malignancies were the most frequent primary tumour (12, 35%). Compared to first infections, second infections had lower prevalence of COVID-19 symptoms (52.9% vs 91.2%, P = 0.0008) and required less COVID-19-specific therapy (11.8% vs 50%, P = 0.0013). Overall, 11 patients (32.4%) and 3 (8.8%) were fully and partially vaccinated against SARS-CoV-2 before the second infection, respectively. The 14-day case fatality rate was 11.8%, with four death events, none of which among fully vaccinated patients.

CONCLUSION

This study shows that reinfections in COVID-19 survivors with cancer are possible and more common in patients with haematological malignancies. Reinfections carry a 11% risk of mortality, which rises to 15% among unvaccinated patients, highlighting the importance of universal vaccination of patients with cancer.

Long-COVID and long-term cancer survivorship-Shared lessons and opportunities

As of 2022, close to 90 million persons in the United States, 243 million persons in Europe and 585 million worldwide have been infected with the novel SARS‐CoV‐2 (COVID‐19) virus and survived. Estimates vary but suggest that up to 50% may experience long‐term sequelae, termed ‘Long‐COVID’. While Long‐COVID is a new condition, the phenomenon of disabling long‐term effects following an illness requiring ongoing surveillance and management is not. In this commentary, we discuss how Long‐COVID parallels the experiences of long‐term cancer survivors, highlight shared challenges and offer opportunities to improve research and clinical care for both growing populations of patients as well as other long‐term chronic, disabling conditions.

The evolving scenario of cancer care provision across the COVID-19 pandemic in Europe

PURPOSE OF REVIEW

Over the past 2 years, the COVID-19 pandemic has had short-term and long-term effects on the delivery of cancer care. Some European countries faced an unprecedented widespread crisis during the first year of the SARS-CoV-2 pandemic, only being able afterwards to gradually recover, thanks to the improvement in preventive measures, changes in public health and reactive processes in cancer care and a better understanding of the ongoing heath emergency.

RECENT FINDINGS

The development of SARS-CoV-2 vaccines and COVID-19 specific treatments, the growing testing and tracking capability to limit virus diffusion, and research efforts to better define areas of action have all greatly limited the negative impact of the health emergency on routine cancer care.The need to protect those more vulnerable and to ensure continuity of care for oncology patients has been balanced across the pandemic, with the aim to guarantee an optimal standard of care.

SUMMARY

This article aims to provide an overview on the evolving scenario of cancer care throughout the COVID-19 pandemic in Europe, focusing on the particular features that characterized the pandemic course as well as the main differences that were observed across it.

The University of Cape Town’s paediatric cancer database: Results from the first years (2019–2021)

Background: The paediatric oncology multidisciplinary team at the University of Cape Town (UCT) developed a research-ready data set.Aim: This study aimed to describe the early results detailing the epidemiological profile of childhood cancer patients and evaluated factors associated with presentation and outcome.Setting: The UCT paediatric oncology platform at the Red Cross War Memorial Children’s Hospital (RCWMCH) and Groote Schuur Hospital (GSH).Methods: A REDCap database was developed with a Cancer Association of South Africa (CANSA) grant. A database administrator consented all new patients and recorded demographic and social information.Results: There were 212 children consented from 2019 to 2021: 109 girls and 103 boys. The age range was from 1 day to 15.98 years, with a median of 5.18 years. Only 32 (15%) of these families had medical insurance, 34 (16%) lived in informal housing and 25 (12%) did not have access to piped water. Seventy-four families (35%) reported a relative with cancer, including seven first degree relatives. With a median follow-up of 12.4 months, the estimated 2-year overall survival (OS) and event-free survival (EFS) was 77% and 72%, respectively. Overall survival was significantly different (p = 0.013) by disease group, varying from 100% for Wilms tumour and germ cell tumours to 52% for rhabdomyosarcoma. Most patients with solid tumours (72%) had advanced disease at diagnosis. Outcomes were poorer for children living in informal housing and without piped water.Conclusion: A real-time database can provide a research-ready data set for interrogating cohort-specific factors impacting childhood cancer outcomes. 

Was können Register leisten?

Hintergrund

Register sind strukturierte Datensammlungen einer definierten Gruppe von Patienten. Registerdaten aus der Routineversorgung können zur Beantwortung zahlreicher wissenschaftlicher und praxisrelevanter Fragestellungen herangezogen werden.

Ziel der Arbeit

Ziel der vorliegenden Übersichtsarbeit ist ein Einblick in Anwendungsbereiche von Registerdaten.

Material und Methoden

Drei zentrale Anwendungsbereiche werden beispielhaft erläutert basierend auf einer explorativen Literaturrecherche.

Ergebnisse

Registerdaten schaffen Transparenz, indem sie Aufschluss über die Routineversorgung (z. B. die Anwendungen und Wirksamkeit von Therapien unter Alltagsbedingungen) geben und dienen somit der Qualitätssicherung. Sie ermöglichen Aussagen zu Patienten, die an randomisierten klinischen Prüfungen, dem Standard in der klinischen Arzneimittelforschung, nicht teilnehmen können (z. B. ältere Patienten mit Begleiterkrankungen). Sie ermöglichen die Langzeitbeobachtung von Erkrankungsverläufen und das Identifizieren von seltenen Nebenwirkungen. Des Weiteren können Registerdaten zur Versorgungsforschung, v. a. zur Hypothesengenerierung genutzt werden. So können Fragen zur optimalen Therapie bestimmter Patientengruppen, zur Wirksamkeit von Therapien, für die es keine vergleichenden Daten aus klinischen Prüfungen gibt oder auch zu Risikoprofilen von Patienten untersucht werden. Ein neueres Anwendungsgebiet ist außerdem die Verwendung von Registerdaten im Rahmen der Zulassung und Nutzenbewertung von Arzneimitteln.

Schlussfolgerung

Viele Fragen rund um die optimale Versorgung von Patienten können mit randomisierten kontrollierten Prüfungen allein nicht beantwortet werden. Qualitätsgesicherte Daten aus prospektiven Registern können diese Lücke schließen.

Definition of factors associated with negative antibody response after COVID-19 vaccination in patients with hematological diseases

COVID-19 in patients with hematological diseases is associated with a high mortality. Moreover, preventive vaccination demonstrated reduced efficacy and the knowledge on influencing factors is limited. In this single-center study, antibody levels of the SARS-CoV-2 spike protein were measured ≥ 2 weeks after 2nd COVID-19 vaccination with a concentration ≥ 0.8 U/mL considered positive. Between July and October 2021, in a total of 373 patients (median age 64 years, 44% women) with myeloid neoplasms (n = 214, 57%), lymphoid neoplasms (n = 124, n = 33%), and other diseases (n = 35, 10%), vaccination was performed with BNT162b2 (BioNTech), mRNA-1273 (Moderna), ChADOx1 (AstraZeneca), or a combination. A total of 229 patients (61%) were on active therapy within 3 months prior vaccination and 144 patients (39%) were previously treated or treatment naïve. Vaccination-related antibody response was negative in 56/373 patients (15%): in 39/124 patients with lymphoid neoplasms, 13/214 with myeloid neoplasms, and 4/35 with other diseases. Active treatment per se was not correlated with negative response. However, rituximab and BTK inhibitor treatment were correlated significantly with a negative vaccination response, whereas younger age and chronic myeloid leukemia (CML) disease were associated with positive response. In addition, 5 of 6 patients with myeloproliferative neoplasm (MPN) and negative vaccination response were on active treatment with ruxolitinib. In conclusion, a remarkable percentage of patients with hematological diseases had no response after 2nd COVID-19 vaccination. Multivariable analysis revealed important factors associated with response to vaccination. The results may serve as a guide for better protection and surveillance in this vulnerable patient cohort.

Outcomes of the SARS-CoV-2 omicron (B.1.1.529) variant outbreak among vaccinated and unvaccinated patients with cancer in Europe: results from the retrospective, multicentre, OnCovid registry study

BACKGROUND

The omicron (B.1.1.529) variant of SARS-CoV-2 is highly transmissible and escapes vaccine-induced immunity. We aimed to describe outcomes due to COVID-19 during the omicron outbreak compared with the prevaccination period and alpha (B.1.1.7) and delta (B.1.617.2) waves in patients with cancer in Europe.

METHODS

In this retrospective analysis of the multicentre OnCovid Registry study, we recruited patients aged 18 years or older with laboratory-confirmed diagnosis of SARS-CoV-2, who had a history of solid or haematological malignancy that was either active or in remission. Patient were recruited from 37 oncology centres from UK, Italy, Spain, France, Belgium, and Germany. Participants were followed up from COVID-19 diagnosis until death or loss to follow-up, while being treated as per standard of care. For this analysis, we excluded data from centres that did not actively enter new data after March 1, 2021 (in France, Germany, and Belgium). We compared measures of COVID-19 morbidity, which were complications from COVID-19, hospitalisation due to COVID-19, and requirement of supplemental oxygen and COVID-19-specific therapies, and COVID-19 mortality across three time periods designated as the prevaccination (Feb 27 to Nov 30, 2020), alpha-delta (Dec 1, 2020, to Dec 14, 2021), and omicron (Dec 15, 2021, to Jan 31, 2022) phases. We assessed all-cause case-fatality rates at 14 days and 28 days after diagnosis of COVID-19 overall and in unvaccinated and fully vaccinated patients and in those who received a booster dose, after adjusting for country of origin, sex, age, comorbidities, tumour type, stage, and status, and receipt of systemic anti-cancer therapy. This study is registered with ClinicalTrials.gov, NCT04393974, and is ongoing.

FINDINGS

As of Feb 4, 2022 (database lock), the registry included 3820 patients who had been diagnosed with COVID-19 between Feb 27, 2020, and Jan 31, 2022. 3473 patients were eligible for inclusion (1640 [47·4%] were women and 1822 [52·6%] were men, with a median age of 68 years [IQR 57-77]). 2033 (58·5%) of 3473 were diagnosed during the prevaccination phase, 1075 (31·0%) during the alpha-delta phase, and 365 (10·5%) during the omicron phase. Among patients diagnosed during the omicron phase, 113 (33·3%) of 339 were fully vaccinated and 165 (48·7%) were boosted, whereas among those diagnosed during the alpha-delta phase, 152 (16·6%) of 915 were fully vaccinated and 21 (2·3%) were boosted. Compared with patients diagnosed during the prevaccination period, those who were diagnosed during the omicron phase had lower case-fatality rates at 14 days (adjusted odds ratio [OR] 0·32 [95% CI 0·19-0·61) and 28 days (0·34 [0·16-0·79]), complications due to COVID-19 (0·26 [0·17-0·46]), and hospitalisation due to COVID-19 (0·17 [0·09-0·32]), and had less requirements for COVID-19-specific therapy (0·22 [0·15-0·34]) and oxygen therapy (0·24 [0·14-0·43]) than did those diagnosed during the alpha-delta phase. Unvaccinated patients diagnosed during the omicron phase had similar crude case-fatality rates at 14 days (ten [25%] of 40 patients vs 114 [17%] of 656) and at 28 days (11 [27%] of 40 vs 184 [28%] of 656) and similar rates of hospitalisation due to COVID-19 (18 [43%] of 42 vs 266 [41%] of 652) and complications from COVID-19 (13 [31%] of 42 vs 237 [36%] of 659) as those diagnosed during the alpha-delta phase.

INTERPRETATION

Despite time-dependent improvements in outcomes reported in the omicron phase compared with the earlier phases of the pandemic, patients with cancer remain highly susceptible to SARS-CoV-2 if they are not vaccinated against SARS-CoV-2. Our findings support universal vaccination of patients with cancer as a protective measure against morbidity and mortality from COVID-19.

FUNDING

National Institute for Health and Care Research Imperial Biomedical Research Centre and the Cancer Treatment and Research Trust.

COVID-19 in patients with cancer: first report of the ESMO international, registry-based, cohort study (ESMO-CoCARE)

BACKGROUND

ESMO COVID-19 and CAncer REgistry (ESMO-CoCARE) is an international collaborative registry-based, cohort study gathering real-world data from Europe, Asia/Oceania and Africa on the natural history, management and outcomes of patients with cancer infected with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2).

PATIENTS AND METHODS

ESMO-CoCARE captures information on patients with solid/haematological malignancies, diagnosed with coronavirus disease 2019 (COVID-19). Data collected since June 2020 include demographics, comorbidities, laboratory measurements, cancer characteristics, COVID-19 clinical features, management and outcome. Parameters influencing COVID-19 severity/recovery were investigated as well as factors associated with overall survival (OS) upon SARS-CoV-2 infection.

RESULTS

This analysis includes 1626 patients from 20 countries (87% from 24 European, 7% from 5 North African, 6% from 8 Asian/Oceanian centres), with COVID-19 diagnosis from January 2020 to May 2021. Median age was 64 years, with 52% of female, 57% of cancer stage III/IV and 65% receiving active cancer treatment. Nearly 64% patients required hospitalization due to COVID-19 diagnosis, with 11% receiving intensive care. In multivariable analysis, male sex, older age, Eastern Cooperative Oncology Group (ECOG) performance status ≥2, body mass index (BMI) <25 kg/m2, presence of comorbidities, symptomatic disease, as well as haematological malignancies, active/progressive cancer, neutrophil-to-lymphocyte ratio (NLR) ≥6 and OnCovid Inflammatory Score ≤40 were associated with COVID-19 severity (i.e. severe/moderate disease requiring hospitalization). About 98% of patients with mild COVID-19 recovered, as opposed to 71% with severe/moderate disease. Advanced cancer stage was an additional adverse prognostic factor for recovery. At data cut-off, and with median follow-up of 3 months, the COVID-19-related death rate was 24.5% (297/1212), with 380 deaths recorded in total. Almost all factors associated with COVID-19 severity, except for BMI and NLR, were also predictive of inferior OS, along with smoking and non-Asian ethnicity.

CONCLUSIONS

Selected patient and cancer characteristics related to sex, ethnicity, poor fitness, comorbidities, inflammation and active malignancy predict for severe/moderate disease and adverse outcomes from COVID-19 in patients with cancer.

The Impact of Vaccination on Severity of COVID-19 Illness in Hematologic Malignancies Patients

Covid 19 in hematological cancer patients can lead to a deterioration in the clinical course and a reduction in life expectancy leading high fatality rate. Vaccines developed against the causative virus may reduce the severity of the disease and a decline in mortality rate. This study aims to determine the impact of vaccination on the severity of COVID-19 illness in patients with hematologic malignancies. A multicenter retrospective observational study was conducted on 60 hospitalized patients admitted to intensive care units (ICUs). All patients were previously diagnosed with leukemia or lymphoma and tested positive for COVID-19 by real-time polymerase chain reaction (RT-PCR). Protocol version 8 was used to determine the patients' results, including improvement to discharge criteria or deterioration to death. The most results in this study; The mean age of the patients was 33.63± 16.5 years (range 6-72 years). Diabetes was the most common comorbid illness (10%). The Oxygen saturation range was (70-95%). Among (60) patients enrolled in this study;29(48.33%) was not received any Covid-19 vaccine while 31(51.67%) were fully vaccinated; concerning patients with positive COVID19; the underlying hematological malignancy was leukemia (63.3%) while patients with lymphoma were (36.7%); after 30-day follow up, depending to the outcome. The number of deaths was 14 cases (23.3%) of patients while the other 46 patients (74.7%) survived and were discharged from the hospital. Our study concludes that vaccinating hematological malignancy patients against Covid19 may provide clinical protection from this illness compared to no vaccination patients Keywords. COVID-19 disease, Hematological Malignancy, Vaccine, intensive care units

Patients Recently Treated for B-lymphoid Malignancies Show Increased Risk of Severe COVID-19

Patients with B-lymphoid malignancies have been consistently identified as a population at high risk of severe COVID-19. Whether this is exclusively due to cancer-related deficits in humoral and cellular immunity, or whether risk of severe COVID-19 is increased by anticancer therapy, is uncertain. Using data derived from the COVID-19 and Cancer Consortium (CCC19), we show that patients treated for B-lymphoid malignancies have an increased risk of severe COVID-19 compared with control populations of patients with non-B-lymphoid malignancies. Among patients with B-lymphoid malignancies, those who received anticancer therapy within 12 months of COVID-19 diagnosis experienced increased COVID-19 severity compared with patients with non-recently treated B-lymphoid malignancies, after adjustment for cancer status and several other prognostic factors. Our findings suggest that patients recently treated for a B-lymphoid malignancy are at uniquely high risk for severe COVID-19.

SIGNIFICANCE

Our study suggests that recent therapy for a B-lymphoid malignancy is an independent risk factor for COVID-19 severity. These findings provide rationale to develop mitigation strategies targeted at the uniquely high-risk population of patients with recently treated B-lymphoid malignancies. This article is highlighted in the In This Issue feature, p. 171.

The Impact of COVID-19 on Cancer Care in a Tertiary Hospital in Korea: Possible Collateral Damage to Emergency Care

Objectives

We investigated the impact of the COVID-19 pandemic on cancer care in a tertiary hospital of South Korea without the specific lockdown measures.

Methods

A retrospective cohort of cancer patients from one of the largest tertiary hospitals in South Korea was used to compare the healthcare utilization in different settings (outpatient clinic, emergency department (ED), and admission) between the period of January 1 and December 31, 2020 and the same time period in 2019. The percent changes in healthcare utilization between two periods were calculated.

Results

A total of 448,833 cases from the outpatient cohort, 26,781 cases from the ED cohort, and 14,513 cases from the admission cohort were reviewed for 2019 and 2020. The total number of ED visit cases significantly decreased in 2020 than in 2019 by 18.04%, whereas the proportion of cancer patients maintained. The reduction in ED visits was more prominent in cases with COVID-19 suspicious symptoms, with high acuity, and those who lived in non-capital city area. There were no significant changes in the number of total visits and new cases in the outpatient clinic between two periods. No significant differences in the total number of hospitalizations were observed between two periods.

Conclusion

During the pandemic, the number of ED visits significantly decreased, while the use of outpatient clinic and hospitalizations were not affected. Cancer patients' ED visits decreased after the COVID-19 outbreak, suggesting the potential for collateral damage outside the hospital if the ED could not be reached in a timely manner.

COVID-19 associated coagulopathy and thrombosis in cancer

Cancer patients are at risk for a more severe COVID-19 infection as well as an adverse outcome of such infection. This may be caused by the cancer itself (e.g haematological malignancies and lung cancer) or due to immune suppression caused by anti-cancer treatment. Severe COVID-19 infections are often complicated by a coagulopathy that clinically results in a high incidence of venous thromboembolic disease. Cancer itself is associated with a hypercoagulable state and a markedly increased incidence of thromboembolic complications, hence the combination of cancer and COVID-19 may amplify this risk. COVID-19 vaccination seems safe and effective in most cancer patients although adapted and bespoke vaccination schemes may increase the seroconversion rate and immune response in selected patients. Specific management strategies to improve outcomes of cancer patients in COVID-19 (e.g. higher intensity antithrombotic prophylaxis) are lacking and should be evaluated in clinical studies simultaneously focusing on efficacy and safety.

How the COVID-19 Pandemic Reshaped the Management of Leukemia and Affected Patient Outcomes

The coronavirus disease-19 (COVID-19) pandemic has posed numerous challenges to the global healthcare system. Of particular gravity is adult and pediatric patients with hematologic malignancies who are among the most vulnerable groups of patients at risk of severe COVID-19 outcomes. In the early phases of the pandemic, several treatment modifications were proposed for patients with leukemia. Largely speaking, these were adopting less-intense therapies and more utilization of the outpatient setting. Over time, our understanding and management have become more nuanced. Furthermore, equipped with vaccinations to prevent COVID-19 infection and availability of treatments in the presence of COVID-19 infection, the recommendations on management of patients with leukemia have evolved. Patient’s leukemia characteristics, possibility of targeted therapy, vaccination status, symptomatology, comorbidities, goal of anti-leukemic therapy, the intensity of therapy, the setting of treatment, as well as loco regional factors like dynamic incidence of COVID-19 in the community and hospital/ICU bed status are among many factors that influence the decisions. Furthermore, the oncology community has adopted delaying the anti-leukemia therapy for a limited time frame, if clinically possible, so as to still deliver most appropriate therapy while minimizing risks. Early adoption of growth factor support and conservative blood transfusion practices have helped as well. In this review, we discuss the impact of COVID-19 on outcomes and share considerations for treatments of leukemias. We describe the impact on both clinical care (from diagnosis to treatment) and research, and cover the literature on vaccines and treatments for COVID-19 in relation to leukemia.

Geriatric risk factors for serious COVID-19 outcomes among older adults with cancer: a cohort study from the COVID-19 and Cancer Consortium

BACKGROUND

Older age is associated with poorer outcomes of SARS-CoV-2 infection, although the heterogeneity of ageing results in some older adults being at greater risk than others. The objective of this study was to quantify the association of a novel geriatric risk index, comprising age, modified Charlson comorbidity index, and Eastern Cooperative Oncology Group performance status, with COVID-19 severity and 30-day mortality among older adults with cancer.

METHODS

In this cohort study, we enrolled patients aged 60 years and older with a current or previous cancer diagnosis (excluding those with non-invasive cancers and premalignant or non-malignant conditions) and a current or previous laboratory-confirmed COVID-19 diagnosis who reported to the COVID-19 and Cancer Consortium (CCC19) multinational, multicentre, registry between March 17, 2020, and June 6, 2021. Patients were also excluded for unknown age, missing data resulting in unknown geriatric risk measure, inadequate data quality, or incomplete follow-up resulting in unknown COVID-19 severity. The exposure of interest was the CCC19 geriatric risk index. The primary outcome was COVID-19 severity and the secondary outcome was 30-day all-cause mortality; both were assessed in the full dataset. Adjusted odds ratios (ORs) and 95% CIs were estimated from ordinal and binary logistic regression models.

FINDINGS

5671 patients with cancer and COVID-19 were included in the analysis. Median follow-up time was 56 days (IQR 22-120), and median age was 72 years (IQR 66-79). The CCC19 geriatric risk index identified 2365 (41·7%) patients as standard risk, 2217 (39·1%) patients as intermediate risk, and 1089 (19·2%) as high risk. 36 (0·6%) patients were excluded due to non-calculable geriatric risk index. Compared with standard-risk patients, high-risk patients had significantly higher COVID-19 severity (adjusted OR 7·24; 95% CI 6·20-8·45). 920 (16·2%) of 5671 patients died within 30 days of a COVID-19 diagnosis, including 161 (6·8%) of 2365 standard-risk patients, 409 (18·5%) of 2217 intermediate-risk patients, and 350 (32·1%) of 1089 high-risk patients. High-risk patients had higher adjusted odds of 30-day mortality (adjusted OR 10·7; 95% CI 8·54-13·5) than standard-risk patients.

INTERPRETATION

The CCC19 geriatric risk index was strongly associated with COVID-19 severity and 30-day mortality. Our CCC19 geriatric risk index, based on readily available clinical factors, might provide clinicians with an easy-to-use risk stratification method to identify older adults most at risk for severe COVID-19 as well as mortality.

FUNDING

US National Institutes of Health National Cancer Institute Cancer Center.

COVID-19 in Patients with Hematologic Malignancies: Outcomes and Options for Treatments

Patients with hematologic malignancies are particularly vulnerable to infections due to underlying humoral and cellular immune dysfunction, cytotoxic chemotherapy regimens, advanced age, and the presence of comorbid conditions. Infection from severe acute respiratory syndrome coronavirus 2, the causative agent of the COVID-19 pandemic, has become a leading cause of death globally and has disproportionally affected this high-risk population. Here, we review the cumulative evidence demonstrating worse outcomes for patients with hematologic malignancies when compared to patients with solid tumors and the general population. We examine risk factors shared with the general population (age, sex, comorbid conditions, and race) and those that are cancer-specific (cytotoxic chemotherapy, progressive disease, and cancer type), all of which confer an increased risk of severe COVID-19. Despite the historical exclusion of cancer patients from COVID-19 therapy trials, we review the emerging evidence that patients with hematologic malignancies benefit from specific treatments such as convalescent plasma. Although COVID-19 vaccines are significantly less effective in this patient population, encouraging results are observed in a subset of these patients after receiving a booster dose.

Learning through a Pandemic: The Current State of Knowledge on COVID-19 and Cancer

The ongoing coronavirus disease 2019 (COVID-19) pandemic has left patients with current or past history of cancer facing disparate consequences at every stage of the cancer trajectory. This comprehensive review offers a landscape analysis of the current state of the literature on COVID-19 and cancer, including the immune response to COVID-19, risk factors for severe disease, and impact of anticancer therapies. We also review the latest data on treatment of COVID-19 and vaccination safety and efficacy in patients with cancer, as well as the impact of the pandemic on cancer care, including the urgent need for rapid evidence generation and real-world study designs. SIGNIFICANCE: Patients with cancer have faced severe consequences at every stage of the cancer journey due to the COVID-19 pandemic. This comprehensive review offers a landscape analysis of the current state of the field regarding COVID-19 and cancer. We cover the immune response, risk factors for severe disease, and implications for vaccination in patients with cancer, as well as the impact of the COVID-19 pandemic on cancer care delivery. Overall, this review provides an in-depth summary of the key issues facing patients with cancer during this unprecedented health crisis.

Impact of COVID-19 in patients with multiple myeloma based on a global data network

The COVID-19 pandemic has represented a major cause of morbidity/mortality worldwide, overstressing health systems. Multiple myeloma (MM) patients show an increased risk for infections and they are expected to be particularly vulnerable to SARS-CoV-2 infection. Here we have obtained a comprehensive picture of the impact of COVID-19 in MM patients on a local and a global scale using a federated data research network (TriNetX) that provided access to Electronic Medical Records (EMR) from Health Care Organizations (HCO) all over the world. Through propensity score matched analyses we found that the number of new diagnoses of MM was reduced in 2020 compared to 2019 (RR 0.86, 95%CI 0.76-0.96) and the survival of newly diagnosed MM cases decreased similarly (HR 0.61, 0.38-0.81). MM patients showed higher risk of SARS-CoV-2 infection (RR 2.09, 1.58-2.76) and a higher excess mortality in 2020 (difference in excess mortality 9%, 4.4-13.2) than non-MM patients. By interrogating large EMR datasets from HCO in Europe and globally, we confirmed that MM patients have been more severely impacted by COVID-19 pandemic than non-MM patients. This study highlights the necessity of extending preventive measures worlwide to protect vulnerable patients from SARS-CoV-2 infection by promoting social distancing and an intensive vaccination strategies.