COVID-19 prevalence and mortality in patients with cancer and the effect of primary tumour subtype and patient demographics: a prospective cohort study

Changes in hospital mortality in patients with cancer during the COVID-19 pandemic (ISARIC-CCP-UK): a prospective, multicentre cohort study

BACKGROUND

Patients with cancer are at greater risk of dying from COVID-19 than many other patient groups. However, how this risk evolved during the pandemic remains unclear. We aimed to determine, on the basis of the UK national pandemic protocol, how factors influencing hospital mortality from COVID-19 could differentially affect patients undergoing cancer treatment. We also examined changes in hospital mortality and escalation of care in patients on cancer treatment during the first 2 years of the COVID-19 pandemic in the UK.

METHODS

We conducted a prospective cohort study of patients aged older than 19 years and admitted to 306 health-care facilities in the UK with confirmed SARS-CoV-2 infection, who were enrolled in the International Severe Acute Respiratory and emerging Infections Consortium (ISARIC) WHO Clinical Characterisation Protocol (CCP) across the UK from April 23, 2020, to Feb 28, 2022; this analysis included all patients in the complete dataset when the study closed. The primary outcome was 30-day in-hospital mortality, comparing patients on cancer treatment and those without cancer. The study was approved by the South Central-Oxford C Research Ethics Committee in England (Ref: 13/SC/0149) and the Scotland A Research Ethics Committee (Ref 20/SS/0028), and is registered on the ISRCTN Registry (ISRCTN66726260).

FINDINGS

177 871 eligible adult patients either with no history of cancer (n=171 303) or on cancer treatment (n=6568) were enrolled; 93 205 (52·4%) were male, 84 418 (47·5%) were female, and in 248 (13·9%) sex or gender details were not specified or data were missing. Patients were followed up for a median of 13 (IQR 6-21) days. Of the 6568 patients receiving cancer treatment, 2080 (31·7%) died at 30 days, compared with 30 901 (18·0%) of 171 303 patients without cancer. Patients aged younger than 50 years on cancer treatment had the highest age-adjusted relative risk (hazard ratio [HR] 5·2 [95% CI 4·0-6·6], p<0·0001; vs 50-69 years 2·4 [2·2-2·6], p<0·0001; 70-79 years 1·8 [1·6-2·0], p<0·0001; and >80 years 1·5 [1·3-1·6], p<0·0001) but a lower absolute risk (51 [6·7%] of 763 patients <50 years died compared with 459 [30·2%] of 1522 patients aged >80 years). In-hospital mortality decreased for all patients during the pandemic but was higher for patients on cancer treatment than for those without cancer throughout the study period.

INTERPRETATION

People with cancer have a higher risk of mortality from COVID-19 than those without cancer. Patients younger than 50 years with cancer treatment have the highest relative risk of death. Continued action is needed to mitigate the poor outcomes in patients with cancer, such as through optimising vaccination, long-acting passive immunisation, and early access to therapeutics. These findings underscore the importance of the ISARIC-WHO pandemic preparedness initiative.

FUNDING

National Institute for Health Research and the Medical Research Council.

The journey of lung cancer patients from symptoms to diagnosis in Greece. A mixed methods approach

The early diagnosis of lung cancer improves the probability of successful treatment. However, patients and physicians face several difficulties that can considerably delay the diagnostic process. A mixed-methods study that would follow the patient's journey throughout the diagnostic process could alleviate these difficulties. This study aimed to (a) track the patients' journey from the onset of symptoms until diagnosis and, (b) explore the patients' perspective of the journey until diagnosis, on the largest island of Greece. A convergent mixed-methods study was conducted with 94 patients with lung cancer. Patients completed a self-report questionnaire and were interviewed about their symptoms and journey through the healthcare system before their diagnosis. Our findings revealed several problems and delays in the diagnostic process. Both quantitative and qualitative data showed that patients did not recognize their symptoms and sought medical advice in time because they overlooked or attributed their symptoms to 'simpler'/'more common' causes. Furthermore, most patients were diagnosed 1-3 months after their first visit to a physician for their symptoms. Qualitative data analysis revealed three broad categories of problems that delayed diagnosis: (1) physician missteps, (2) administrative problems, and (3) the effect of the Covid-19 pandemic. This study found that major issues and delays prolong the diagnostic process for lung cancer. Therefore, optimization of diagnostic processes at each level of healthcare and interspecialty cooperation programs are needed. Furthermore, population-based interventions and patient education can help lung cancer patients be diagnosed early and improve their quality of life and disease outcomes.

Use of chronic medications and risk of death due to COVID-19 in hospitalised patients

OBJECTIVES

To evaluate the potential association between chronic exposure to medication and death related to COVID-19.

METHODS

This is a retrospective cross-sectional study that included all patients hospitalised due to COVID-19 from 11 March to 4 June 2020 in our centre. Chronic patient medication was classified by the Anatomical Therapeutic Chemical (ATC) classification; demographic and clinical data were analysed. Multivariate logistic regression models were used to estimate the adjusted odds ratios (aOR) of death for each drug exposure; each aOR represents an independent model adjusted by clinical factors related to COVID-19 mortality.

RESULTS

The study included 978 patients with a mean (SD) age of 64.5 (17.7) years who were predominantly male (531, 54.3%). Of all 978 patients, 182 (18.61%) died during the follow-up of the study. The most common Charlson Comorbidity Index (CCI) was 0, 4.2% were smokers, 16.7% were obese, 47.4% had hypertension, and 19.4% were diabetic. Most patients (70.8%) were prescribed at least one treatment, 32.5% used >5 treatments, and 8.6% >10. Our data suggest that COVID-19 hospitalised patients taking trimethoprim and analogues, leukotriene receptor antagonists, calcineurin inhibitors, aldosterone antagonists, selective immunosuppressants, propulsives, insulins and analogues, and benzodiazepine derivatives have a higher risk of death.

CONCLUSIONS

This study investigated the association between chronic exposure to drugs and the risk of death in COVID-19 patients. Our results have shed some light on the impact of chronic drug exposure on the risk of severe COVID-19; however, further research is needed to increase the understanding about its relevance.

Identifying predictors of COVID-related delays in cancer-specific medical care

PURPOSE

Evidence of the impact of the COVID-19 pandemic on cancer prevention and control is growing, but little is known about patient-level factors associated with delayed care. We analyzed data from a survey focused on Iowan cancer patients' COVID-19 experiences in the early part of the pandemic.

METHODS

Participants were recruited from the University of Iowa Holden Comprehensive Cancer Center's Patients Enhancing Research Collaborations at Holden (PERCH) program. We surveyed respondents on demographic characteristics, COVID-19 experiences and reactions, and delays in any cancer-related health care appointment, or cancer-related treatment appointments. Two-sided significance tests assessed differences in COVID-19 experiences and reactions between those who experienced delays and those who did not.

RESULTS

There were 780 respondents (26% response), with breast, prostate, kidney, skin, and colorectal cancers representing the majority of respondents. Delays in cancer care were reported by 29% of respondents. In multivariable-adjusted models, rural residents (OR 1.47; 95% CI 1.03, 2.11) and those experiencing feelings of isolation (OR 2.18; 95% CI 1.37, 3.47) were more likely to report any delay, where experiencing financial difficulties predicted delays in treatment appointments (OR 5.72; 95% CI 1.96, 16.67). Health insurance coverage and concern about the pandemic were not statistically significantly associated with delays.

CONCLUSION

These findings may inform cancer care delivery during periods of instability when treatment may be disrupted by informing clinicians about concerns that patients have during the treatment process. Future research should assess whether delays in cancer care impact long-term cancer outcomes and whether delays exacerbate existing disparities in cancer outcomes.

Immunocompromised individuals are at increased risk of COVID-19 breakthrough infection, hospitalization, and death in the post-vaccination era: A systematic review

INTRODUCTION

Immunocompromised individuals have been shown to mount a reduced response to vaccination, resulting in reduced vaccine effectiveness in this cohort. Therefore, in the postvaccination era, immunocompromised individuals remain at high risk of breakthrough infection and COVID-19 related hospitalization and death, which persist despite vaccination efforts. There has been a marked paucity of systematic reviews evaluating existing data describing the clinical measures of efficacy of COVID-19 vaccination, specifically in immunocompromised populations. In particular, there is a scarcity of comprehensive evaluations exploring breakthrough infections and severe COVID-19 in this patient population.

METHODS

To address this gap, we conducted a systematic review which aimed to provide a summary of current clinical evidence of the effectiveness of COVID-19 vaccination in the immunocompromised population. Using PRISMA guidelines, we conducted a literature search on PubMed and the Cochrane database published between January 1, 2021 to September 1, 2022.

RESULTS

Our findings demonstrated that despite vaccination, immunocompromised patients remained at high risk of new breakthrough COVID-19 infection and severe COVID-19 outcomes compared to the general population. We found increased average relative risk (RR) of breakthrough infections in the immunocompromised population, including patients with cancer (RR = 1.4), HIV (RR = 1.92), chronic kidney disease (RR = 2.26), immunodeficiency (RR = 2.55), and organ transplant recipients (RR = 6.94). These patients are also at greater risk for hospitalizations and death following COVID-19 breakthrough infection. We found that the RR of hospitalization and death in Cancer patients was 1.08 and 2.82, respectively.

CONCLUSION

This demonstrated that vaccination does not offer an adequate level of protection in these groups, necessitating further measures such as Evusheld and further boosters.

The ethics of clinical research in the era of COVID-19

There is an urgent need for increased understanding of COVID-19 and strategies for its prevention, treatment, and mitigation. All participants in the research enterprise, including institutional review boards, have an ethical duty to protect participants and ensure that the benefits gained from such research do not conflict with the core principles that guided researchers prior to the pandemic. In this review, we discuss the ethical issues surrounding initiation and conduct of clinical trials, focusing on novel COVID-19 therapeutic, vaccine, or biospecimen research, using the principles of autonomy, beneficence, and justice. We discuss strategies to manage the practical challenges associated with the conduct of clinical trials, with an emphasis on maintaining the rights and welfare of research participants.

Characteristics and prognosis of patients with COVID-19 and hematological diseases in Japan: a cross-sectional study

The Japanese Society of Hematology performed an observational cross-sectional study to clarify the morbidity, prognosis, and prognostic factors in patients with COVID-19 with hematological diseases (HDs) in Japan. The study included patients with HDs who enrolled in our epidemiological survey and had a COVID-19 diagnosis and a verified outcome of up to 2 months. The primary endpoints were characteristics and short-term prognosis of COVID-19 in patients with HDs. A total of 367 patients from 68 institutes were enrolled over 1 year, and the collected data were analyzed. The median follow-up among survivors was 73 days (range, 1-639 days). The 60-day overall survival (OS) rate was 86.6%. In the multivariate analysis, albumin ≤ 3.3 g/dL and a need for oxygen were independently associated with inferior 60-day OS rates (hazard ratio [HR] 4.026, 95% confidence interval (CI) 1.954-8.294 and HR 14.55, 95% CI 3.378-62.64, respectively), whereas 60-day survival was significantly greater in patients with benign rather than malignant disease (HR 0.095, 95% CI 0.012-0.750). Together, these data suggest that intensive treatment may be necessary for patients with COVID-19 with malignant HDs who have low albumin levels and require oxygen at the time of diagnosis.

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.

Impaired humoral immunity following COVID-19 vaccination in HTLV-1 carriers

BACKGROUND

Whether human T-lymphotropic virus type 1 (HTLV-1) carriers can develop sufficient humoral immunity after coronavirus disease 2019 (COVID-19) vaccination is unknown.

METHODS

To investigate humoral immunity after COVID-19 vaccination in HTLV-1 carriers, a multicenter, prospective observational cohort study was conducted at five institutions in southwestern Japan, an endemic area for HTLV-1. HTLV-1 carriers and HTLV-1-negative controls were enrolled for this study from January to December 2022. During this period, the third dose of the COVID-19 vaccine was actively administered. HTLV-1 carriers were enrolled during outpatient visits, while HTLV-1-negative controls included health care workers and patients treated by participating institutions for diabetes, hypertension, or dyslipidemia. The main outcome was the effect of HTLV-1 infection on the plasma anti-COVID-19 spike IgG (IgG-S) titers after the third dose, assessed by multivariate linear regression with other clinical factors.

RESULTS

We analyzed 181 cases (90 HTLV-1 carriers, 91 HTLV-1-negative controls) after receiving the third dose. HTLV-1 carriers were older (median age 67.0 vs. 45.0 years, p < 0.001) and more frequently had diabetes, hypertension, or dyslipidemia than did HTLV-1-negative controls (60.0% vs. 27.5%, p < 0.001). After the third dose, the IgG-S titers decreased over time in both carriers and controls. Multivariate linear regression in the entire cohort showed that time since the third dose, age, and HTLV-1 infection negatively influenced IgG-S titers. After adjusting for confounders such as age, or presence of diabetes, hypertension, or dyslipidemia between carriers and controls using the overlap weighting propensity score method, and performing weighted regression analysis in the entire cohort, both time since the third dose and HTLV-1 infection negatively influenced IgG-S titers.

CONCLUSIONS

The humoral immunity after the third vaccination dose is impaired in HTLV-1 carriers; thus, customized vaccination schedules may be necessary for them.

Assessment of Changes in Cancer Treatment During the First Year of the COVID-19 Pandemic in the US

Importance

The COVID-19 pandemic led to disruptions in access to health care, including cancer care. The extent of changes in receipt of cancer treatment is unclear.

Objective

To evaluate changes in the absolute number, proportion, and cancer treatment modalities provided to patients with newly diagnosed cancer during 2020, the first year of the pandemic.

Design, Setting, and Participants

In this cohort study, adults aged 18 years and older diagnosed with any solid tumor between January 1, 2018, and December 31, 2020, were identified using the National Cancer Database. Data analysis was conducted from September 19, 2022, to July 28, 2023.

Exposure

First year of the COVID-19 pandemic.

Main Outcomes and Measures

The expected number of procedures for each treatment modality (surgery, radiotherapy, chemotherapy, immunotherapy, and hormonal therapy) in 2020 were calculated using historical data (January 1, 2018, to December 31, 2019) with the vector autoregressive method. The difference between expected and observed numbers was evaluated using a generalized estimating equation under assumptions of the Poisson distribution for count data. Changes in the proportion of different types of cancer treatments initiated in 2020 were evaluated using the additive outlier method.

Results

A total of 3 504 342 patients (1 214 918 in 2018, mean [SD] age, 64.6 [13.6] years; 1 235 584 in 2019, mean [SD] age, 64.8 [13.6] years; and 1 053 840 in 2020, mean [SD] age, 64.9 [13.6] years) were included. Compared with expected treatment from previous years' trends, there were approximately 98 000 fewer curative intent surgical procedures performed, 38 800 fewer chemotherapy regimens, 55 500 fewer radiotherapy regimens, 6800 fewer immunotherapy regimens, and 32 000 fewer hormonal therapies initiated in 2020. For most cancer sites and stages evaluated, there was no statistically significant change in the type of cancer treatment provided during the first year of the pandemic, the exception being a statistically significant decrease in the proportion of patients receiving breast-conserving surgery and radiotherapy with a simultaneous statistically significant increase in the proportion of patients undergoing mastectomy for treatment of stage I breast cancer during the first months of the pandemic.

Conclusions and Relevance

In this large national cohort study, a significant deficit was noted in the number of cancer treatments provided in the first year of the COVID-19 pandemic. Data indicated that this deficit in the number of cancer treatments provided was associated with decreases in the number of cancer diagnoses, not changes in treatment strategies.

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.

Early Systemic Anti-neoplastic Treatment Post SARS-CoV-2 Infection in Patients with Breast Cancer

INTRODUCTION

It is unclear how soon after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection it is safe to resume systemic anti-neoplastic treatment in patients with cancer. We assessed the risk of admissions or postponed treatment cycle in vaccinated patients with breast cancer receiving early systemic anti-neoplastic treatment following SARS-CoV-2 infection.

METHODS

This was a retrospective cohort study conducted during Omicron SARS-CoV-2 outbreak in Israel, January-July 2022. SARS-CoV-2 cohort included 30 vaccinated patients with breast cancer with SARS-CoV-2 infection 7-14 days prior to systemic treatment. All patients had resolved symptoms and a negative antigen detection test on the day of treatment. The pre-coronavirus disease 2019 (COVID-19) pandemic cohort consisted of 49 matched patients with breast cancer treated with systemic anti-neoplastic agents during 2019.

RESULTS

In 30 vaccinated patients with breast cancer who received systemic anti-neoplastic treatment 7-14 days following SARS-CoV-2 infection, compared with 49 matched patients treated in 2019, the rates of emergency department (ED) visits (13% versus 6%, respectively), hospitalizations (3% versus 4%), next cycle of treatment given per protocol (90% versus 88%), and death (0% versus 0%) were similar.

CONCLUSION

In a cohort of vaccinated patients with breast cancer who received systemic anti-neoplastic treatment 7-14 days after SARS-CoV-2 infection, we did not observe substantially higher rates of ED visits, hospitalizations, or deaths compared with a similar cohort of pre-COVID-19 patients with breast cancer. Most patients received the next planned cycle on time. Early resumption of systemic anti-neoplastic treatment following SARS-CoV-2 infection in vaccinated patients with breast cancer with a negative antigen test at the day of treatment appeared to be safe. Additional data on larger cohorts and other malignancies are needed to support clinical guidelines.

The Impact COVID-19 Infection on Cancer Patients: A Tertiary Cancer Center Experience in Jordan

BACKGROUND

Cancer patients are at higher risk of serious complications of COVID-19. Few studies evaluated the impact of COVID-19 on cancer patients in low- and middle-income countries. Our study aims to evaluate the outcomes of COVID-19 infection in cancer patients treated at our institution.  Methods: Medical records of patients with a positive COVID-19 polymerase chain reaction (PCR) between April 2020 and October 2020 were reviewed. Fisher's exact test and logistic regression analysis were employed to correlate various variables with mortality. Survival estimates were generated using the Kaplan-Meier method.

RESULTS

A total of 317 patients were included, with a median age was 55 years (range: 19-88). 82 (25.9%) had hematological neoplasms while the remainder had solid cancers. At the time of infection, 220 (69.4%) had active cancer, and 99 (31.2%) had received systemic anticancer treatment (SACT) within four weeks. Hospitalization was required for 101 (31.8%), 17 (5.3%) were admitted to the ICU and 50 (15.8%) died. Among patients with active cancer, SACT was delayed or discontinued in 140 (63.6%) patients.  In the entire patient cohort, low albumin (p=<0.001) and leucocytosis (p=<0.001) correlated with mortality within six months of COVID-19 infection. The six-month mortality rate in patients with active cancer was significantly higher in patients with hypertension (p=0.024), no recent SACT (0.017), hematological cancer (p=0.029), low albumin (p=<0.001), leucocytosis (p=0.002) and lymphocyte count of less than 500/µL (p=0.004). Recent chemotherapy was associated with better 6-month survival rates (78.8% vs 89.9%, p=0.012) in patients with active cancer, patients with solid cancers (95.9% vs 82.2%, p=0.006) and was non-inferior in patient with hematological neoplasms (72% vs 65.4%, p=0.519).  Conclusion: COVID-19 infection in our cancer patients was associated with significant morbidity and mortality and adversely affected their treatment. The decision to delay or discontinue SACT should be individualized, considering other risk factors for mortality.

Association between adult attachment style, communication patterns and caregiver burden in parents of children with solid tumors: A cross-sectional study

PURPOSE

The primary purpose of this cross-sectional study was to delve into the connections among adult attachment styles, communication patterns, and caregiver burden within the sample of parents caring for children diagnosed with solid tumors.

METHODS

A sample of 456 parents responsible for the care of children with solid tumors was conveniently recruited from a pediatric oncology ward at a tertiary hospital from September 2021 to September 2022. The data collection process included a questionnaire on general information, the Caregiver Burden Inventory, the Adult Attachment Questionnaire Short Form, and the Communication Pattern Questionnaire.

RESULTS

The findings demonstrated a strong and positive connection between caregiver burden and attachment avoidance, whereas no considerable association was observed for attachment anxiety. Attachment avoidance exhibited a positive link with communication patterns and caregiver burden, and a noteworthy inverse correlation with attachment anxiety. Additionally, communication patterns were uncovered as a mediator in the association between attachment avoidance and caregiver burden.

CONCLUSIONS

This study underscores the role of communication patterns as mediators between attachment avoidance and caregiver burden among parents of children with solid tumors. These outcomes emphasize the significance of considering attachment styles and communication patterns when comprehending caregiver burden, and can guide the development of targeted interventions to provide support for parents within this challenging context.

Protecting vulnerable patient populations from climate hazards: the role of the nation's cancer centers

Individuals diagnosed with cancer are a vulnerable population during disasters. Emergency preparedness efforts are crucial for meeting the health and safety needs of patients, health-care professionals, health-care facilities, and communities before, during, and after a disaster. Recognizing the importance of advancing emergency preparedness expertise to cancer control efforts nationwide, especially in the era of climate change, we searched National Cancer Institute-designated cancer centers' websites to examine emergency preparedness information sharing and evidence of research efforts focused on disaster preparedness. Of 71 centers, 56 (78.9%) presented some emergency preparedness information, and 36 (50.7%) presented information specific to individuals diagnosed with cancer. Only 17 (23.9%) centers provided emergency preparedness information for climate-driven disasters. Informed by these data, this commentary describes an opportunity for cancer centers to lead knowledge advancement on an important aspect of climate change adaptation: disaster preparedness.

Timing of BNT162b2 vaccine prior to COVID-19 infection, influence disease severity in patients with hematologic malignancies: Results from a cohort study

The COVID-19 pandemic continues to pose challenges to the treatment of hemato-oncology patients. Emergence of COVID-19 variants, availability of vaccine boosters and antiviral treatments could impact their outcome. We retrospectively studied patients with hematologic malignancies and confirmed COVID-19 during the Omicron outbreak. Of 116 evaluated patients, 16% developed severe or critical COVID-19. Diagnosis of chronic lymphocytic leukemia (CLL) was significantly associated with severe COVID-19 (p = 0.01). The vaccine effectiveness was related to the timing of the vaccine, with patients who received a mRNA vaccine within 7-90 days prior to COVID-19 being less likely to develop severe disease compared to all other patients (p = 0.019). There was no correlation between disease severity and antiviral therapies. Importantly, 45% of patients undergoing active hematological treatment had to interrupt their treatment due to COVID-19. In conclusion, patients with hematologic malignancies are at a considerable risk for severe COVID-19 during the Omicron outbreak, with patients with CLL being the most vulnerable. mRNA vaccines have the potential to protect hematological patients from severe COVID-19 if administered within the previous 3 months. Hematological treatment interruption is a frequent adverse outcome of COVID-19 infection.

Cancer outpatients during the COVID-19 pandemic: what Oncoral has to teach us about medical drug use and the perception of telemedicine

PURPOSE

The COVID-19 pandemic has disrupted healthcare access and telemedicine has been widely deployed. The aim of this study is to assess the impact of this health crisis on treatment consumption and telemedicine development in outpatients treated by oral anti-cancer agents and followed by the Oncoral hospital/community multidisciplinary program where continuity care is maintained by a pharmacist/nurse pair.

METHODS

A prospective monocentric study was conducted among cancer patients who received Oncoral telephone follow-up during the 1st lockdown in France using a 56-item questionnaire which covered sociodemographic data, patient medication management, and telehealth.

RESULTS

178 patients received Oncoral follow-up during the 1st lockdown and 67.4% responded to the questionnaire. During lockdown, 9.2% of patients took medication or CAM for fatigue, 6.7% for mood alteration, 10.8% for sleep disorder, 11.7% for stress and anxiety, and 12.5% to get more energy. Homeopathy consumption was triggered by the pandemic. Habits about getting drugs from the pharmacy changed significantly (p < 0.001), while other treatment habits did not. 83% of patients were satisfied by the telephone follow-up established, 69% would be in favor of repeating this in case of a new epidemic wave. Those most in favor of using telemedicine seemed to be the youngest (p < 0.001), with several dependent children (p < 0.007), high school degree or higher education (p = 0.023), and in work (p < 0.001).

CONCLUSION

Health system reorganization enables to limit the impact of the crisis on patients' drug use in oncology care. Telemedicine is a promising public health tool.

Outcomes of breakthrough COVID-19 infections in patients with hematologic malignancies

Patients with hematologic malignancies have both an increased risk for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections and higher morbidity/mortality. They have lower seroconversion rates after vaccination, potentially leading to inferior coronavirus disease 2019 (COVID-19) outcomes, despite vaccination. We consequently evaluated the clinical outcomes of COVID-19 infections in 243 vaccinated and 175 unvaccinated patients with hematologic malignancies. Hospitalization rates were lower in the vaccinated group when compared with the unvaccinated group (31.3% vs 52.6%). However, the rates of COVID-19-associated death were similar at 7.0% and 8.6% in vaccinated and unvaccinated patients, respectively. By univariate logistic regression, females, older patients, and individuals with higher modified Charlson Comorbidity Index scores were at a higher risk of death from COVID-19 infections. To account for the nonrandomized nature of COVID-19 vaccination status, a propensity score weighting approach was used. In the final propensity-weighted model, vaccination status was not significantly associated with the risk of death from COVID-19 infections but was associated with the risk of hospitalization. The predicted benefit of vaccination was an absolute decrease in the probability of death and hospitalization from COVID-19 infections by 2.3% and 22.9%, respectively. In conclusion, COVID-19 vaccination status in patients with hematologic malignancies was associated with a decreased risk of hospitalization but not associated with a decreased risk of death from COVID-19 infections in the pre-Omicron era. Protective strategies, in addition to immunization, are warranted in this vulnerable patient population.

Assessment of the Prevalence of Infections in Pediatric Patients With Acute Lymphoblastic Leukemia

Infections cause notable treatment-related morbidity during pediatric acute lymphoblastic leukemia/lymphoma (ALL/LLy) therapy. Infections are the most critical cause of morbidity and mortality in children undergoing treatment for acute lymphoblastic leukemia (ALL). Children with ALL, who are frequently underweight, are at increased risk of community-acquired pathogens, nosocomial multidrug-resistant pathogens, and opportunistic microorganisms. A weakened immune system from ALL itself and chemotherapy's side effects further worsen the prognosis. PubMed and Google Scholar articles were curated in a Google document with shared access. Discussion and development of the paper were achieved over Zoom meetings. This narrative review aims to analyze and summarize various pathogens responsible for infections in children receiving treatment for ALL and their treatment regimen and prophylaxis. The incidence of viral infection is higher in ALL patients, followed by bacterial and fungal infections. Prevention via prophylaxis and timely initiation of treatment is essential for positive outcomes.

Patients with chronic myeloid leukemia and coronavirus disease 2019 in the Omicron era

To explore the prevalence and severity of COVID-19 and the mental health during the Omicron pandemic in patients with chronic myeloid leukemia (CML), a cross-sectional survey from 2609 respondents with CML was performed. A total of 1725 (66%) reported that they had COVID-19 during this period. Among them, 1621 (94%) were mild; 97 (6%), moderate; 7 (0.4%), severe; and 0, critical or death. Four hundred three (15%), 199 (8%), and 532 (20%) had moderate to severe depression, anxiety, and distress, respectively. Eight hundred ninety (34%), 667 (26%), and 573 (22%), avoidance, intrusion, and hyper-arousal, respectively. In multivariate analyses, longer TKI-therapy duration was significantly associated with a lower prevalence of COVID-19 (odds ratio [OR] = 0.98; 95% confidence interval [CI], 0.95, 0.99; p = 0.043); however, living in urban areas (OR = 1.6 [1.3, 2.0]; p < 0.001) and having family members with COVID-19 (OR = 18.6 [15.1, 22.8]; p < 0.001), a higher prevalence of COVID-19. Increasing age (OR = 1.2 [1.1, 1.4]; p = 0.009), comorbidity(ies) (OR = 1.7 [1.1, 2.7]; p = 0.010), and multi-TKI-resistant patients receiving 3rd-generation TKIs or investigational agents (OR = 2.2 [1.2, 4.2]; p = 0.010) were significantly associated with moderate or severe COVID-19. Female, comorbidity(ies), unvaccinated, and moderate or severe COVID-19 were significantly associated with almost all adverse mental health consequences; increasing age or forced TKI dose reduction because of various restriction during the pandemic, moderate to severe distress, avoidance, or intrusion; however, mild COVID-19, none or mild anxiety, distress, avoidance, or intrusion. In conclusion, shorter TKI-therapy duration, increasing age, comorbidity(ies), or multi-TKI-resistant patients receiving 3rd-generation TKIs or investigational agents had a higher prevalence of COVID-19 or higher risk of moderate or severe disease in patients with CML; increasing age, female, comorbidity(ies), forced TKI dose reduction due to the pandemic, moderate or severe COVID-19, unvaccinated, a higher likelihood of worse mental health.

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.

Mortality of COVID-19 in patients with hematological malignancies versus solid tumors: a systematic literature review and meta-analysis

Cancer patients are more vulnerable to COVID-19 compared to the general population, but it remains unclear which types of cancer have the highest risk of COVID-19-related mortality. This study examines mortality rates for those with hematological malignancies (Hem) versus solid tumors (Tumor). PubMed and Embase were systematically searched for relevant articles using Nested Knowledge software (Nested Knowledge, St Paul, MN). Articles were eligible for inclusion if they reported mortality for Hem or Tumor patients with COVID-19. Articles were excluded if they were not published in English, non-clinical studies, had insufficient population/outcomes reporting, or were irrelevant. Baseline characteristics collected included age, sex, and comorbidities. Primary outcomes were all-cause and COVID-19-related in-hospital mortality. Secondary outcomes included rates of invasive mechanical ventilation (IMV) and intensive care unit (ICU) admission. Effect sizes from each study were computed as logarithmically transformed odds ratios (ORs) with random-effects, Mantel-Haenszel weighting. The between-study variance component of random-effects models was computed using restricted effects maximum likelihood estimation, and 95% confidence intervals (CIs) around pooled effect sizes were calculated using Hartung-Knapp adjustments. In total, 12,057 patients were included in the analysis, with 2,714 (22.5%) patients in the Hem group and 9,343 (77.5%) patients in the Tumor group. The overall unadjusted odds of all-cause mortality were 1.64 times higher in the Hem group compared to the Tumor group (95% CI: 1.30-2.09). This finding was consistent with multivariable models presented in moderate- and high-quality cohort studies, suggestive of a causal effect of cancer type on in-hospital mortality. Additionally, the Hem group had increased odds of COVID-19-related mortality compared to the Tumor group (OR = 1.86 [95% CI: 1.38-2.49]). There was no significant difference in odds of IMV or ICU admission between cancer groups (OR = 1.13 [95% CI: 0.64-2.00] and OR = 1.59 [95% CI: 0.95-2.66], respectively). Cancer is a serious comorbidity associated with severe outcomes in COVID-19 patients, with especially alarming mortality rates in patients with hematological malignancies, which are typically higher compared to patients with solid tumors. A meta-analysis of individual patient data is needed to better assess the impact of specific cancer types on patient outcomes and to identify optimal treatment strategies.

COVID-19 Infection despite Previous Vaccination in Cancer Patients and Healthcare Workers: Results from a French Prospective Multicenter Cohort (PAPESCO-19)

In a multicenter prospective cohort of cancer patients (CP; n = 840) and healthcare workers (HCWs; n = 935) vaccinated against COVID-19, we noticed the following: i/after vaccination, 4.4% of HCWs and 5.8% of CP were infected; ii/no characteristic was associated with post-vaccine COVID-19 infections among HCWs; iii/CP who developed infections were younger, more frequently women (NS), more frequently had gastrointestinal, gynecological, or breast cancer and a localized cancer stage; iv/CP vaccinated while receiving chemotherapy or targeted therapy had (NS) more breakthrough infections after vaccination than those vaccinated after these treatments; the opposite was noted with radiotherapy, immunotherapy, or hormonotherapy; v/most COVID-19 infections occurred either during the Alpha wave (11/41 HCW, 20/49 CP), early after the first vaccination campaign started, or during the Omicron wave (21/41 HCW, 20/49 CP), more than 3 months after the second dose; vi/risk of infection was not associated with values of antibody titers; vii/the outcome of these COVID-19 infections after vaccination was not severe in all cases. To conclude, around 5% of our CPs or HCWs developed a COVID-19 infection despite previous vaccination. The outcome of these infections was not severe.

Relative Risk of Death in Bulgarian Cancer Patients during the Initial Waves of the COVID-19 Pandemic

BACKGROUND

The COVID-19 pandemic has led to millions of documented deaths worldwide, with diverse distribution among countries. Surprisingly, Bulgaria, a middle-income European Union member state, ranked highest in COVID-19 mortality. This study aims to assess whether Bulgarian cancer patients experienced a higher relative risk (RR) of death compared to the general Bulgarian population during the pandemic.

MATERIALS AND METHODS

Data from the Bulgarian National Statistical Institute and the Bulgarian National Cancer Registry were analyzed to estimate monthly RR of death in cancer patients compared to the general population before and during the first two years of the pandemic. The impact of the COVID-19 waves and predominant SARS-CoV-2 variants on RR was evaluated on various cancer types and age groups using a multiple linear regression approach.

RESULTS

During the COVID-19 waves, both the general population and cancer patients experienced a significant increase in mortality rates. Surprisingly, the RR of death in cancer patients was lower during pandemic waves. The results from the statistical modeling revealed a significant association between the COVID-19 waves and reduced RR for all cancer patients. Notably, the effect was more pronounced during waves associated with the Alpha and Delta variants. The results also showed varying impacts of the COVID-19 waves on RR when we analyzed subsamples of data grouped depending on the cancer type, age and sex.

CONCLUSIONS

Despite increased overall mortality in Bulgarian cancer patients during the pandemic, the RR of death was lower compared to the Bulgarian general population, indicating that protective measures were relatively effective in this vulnerable group. This study underscores the importance of implementing and encouraging preventive measures, especially in cancer patients, to mitigate the impact of future viral pandemics and reduce excess mortality.

Impact on mental health, disease management, and socioeconomic modifications in hematological patients during the COVID-19 pandemic in Italy

Background

Hematological patients are a highly vulnerable population with an increased risk of developing severe COVID-19 symptoms due to their immunocompromised status. COVID-19 has proven to cause serious mental health issues, such as stress, anxiety, and depression in the general population. However, data on the psycho-social impact of COVID-19 on hematological patients are lacking.

Objectives

This study aims to examine the psychological well-being of hematological patients in Italy during the initial period of the COVID-19 pandemic. Furthermore, it seeks to explore the association between modifications in the management of hematological diseases and employment status of these patients during the COVID-19 pandemic and the resulting mental health outcomes.

Design and Methods

A survey using the DASS-21 questionnaire was administered to 1105 hematological patients. Data analysis was conducted using the R software, and logistic regression analysis was performed to predict the association between hematological patient/general population and employment status with DASS scores.

Results

The hematological patient population reported significantly higher levels of depression (OR 0.947, 95% CI 0.966-0.982, p < 0.001), anxiety (OR 0.948, 95% CI 0.939-0.958, p < 0.001), and stress (OR 0.984, 95% CI 0.977-0.992, p < 0.001) compared with the general population. A significant relationship has been found in stress between employed and unemployed patients (OR 1.015, 95% CI 1.000-1.030, p = 0.044), as well as in the control group (OR 1.024, 95% CI 1.010-1.039, p = 0.001). In addition, employment status is significantly related to depression, anxiety, and stress in both the hematological patient group and the general population.

Conclusion

During the initial phase of the COVID-19 pandemic, hematological patients had elevated levels of depression, anxiety, and stress compared with the general population. The delay in their treatment and employment status played a role in their mental health outcomes. These findings emphasize the importance of further research to gain deeper insight into the long-term psychological effects and explore effective strategies for managing mental health in similar crises.

Retrospective Case-Control Study of REGEN-COV (Casirivimab and Imdevimab) Therapy for Patients with COVID-19 and Cancer Using the United States MarketScan® Database

INTRODUCTION

Patients with cancer may be at a higher risk of experiencing severe complications from coronavirus disease 2019 (COVID-19) than are patients without cancer. This study evaluated the efficacy of REGEN-COV, a combination of the monoclonal antibodies casirivimab and imdevimab, for treating COVID-19 in patients with cancer in the USA.

METHODS

Using the MarketScanⓇ database, de-identified data of patients with a COVID-19 diagnosis between November 1, 2020, and November 30, 2021, were analyzed. In the preliminary study, patients with COVID-19 were divided into two groups: those with and without cancer within 1 year prior to a COVID-19 diagnosis. In the main study, patients with COVID-19 with cancer were divided into two groups: those with and without REGEN-COV treatment. Patient outcomes, such as COVID-19-derived hospitalization, hospitalization duration, and medical costs, were assessed between these two groups by propensity score matching.

RESULTS

Within the first 30 days of a COVID-19 diagnosis, the group treated with REGEN-COV had fewer hospitalizations (3.2% vs. 13.3%; p < 0.001), fewer mean hospitalization days (0.2 vs. 1.1 days; p < 0.001), and a lower mean-associated medical payment (2,709 vs. 8,120 USD; p < 0.001) than the group not treated with REGEN-COV. Patients with specific cancer types, including non-Hodgkin's lymphoma, leukemia, and lung cancer, had higher hospitalization rates than those with other cancer types.

CONCLUSION

Patients with cancer treated with REGEN-COV experienced a decreased risk for hospitalization, hospitalization duration, and total COVID-19-related costs. Patients with cancer were at a higher risk of being hospitalized for COVID-19 than were those without cancer. The use of neutralizing antibody therapy may reduce the risk of severe COVID-19 infection for patients with cancer with an otherwise high risk. Future replication studies should be conducted using other databases that include Medicaid users and other insured persons for comparison and validation.

Bio-ethical issues in oncology during the first wave of the COVID-19 epidemic: A qualitative study in a French hospital

BACKGROUND

Using a specific bioethical theory (=global bioethics) and method (=a posteriori), we try here to identify and evaluate the bio-ethical issues raised by the COVID-19 pandemic, and possible solutions, to improve the management of cancer patients at the hospital in future pandemics, before the emergence of vaccines or scientifically validated treatments.

MATERIALS & METHODS

Our work is based primarily on the clinical experience of three oncologists from the oncology department of Foch Hospital in France, who were on the frontline during the first wave of the epidemic. We compared their perceptions with published findings, to complete or nuance their views.

RESULTS

Three bio-ethical issues were identified, and possible solutions to these problems were evaluated: (1) scientific evidence versus lack of time → the creation of emergency multidisciplinary team meetings (MTM); (2) healthcare equality versus lack of resources → the development of telemedicine; (3) individual liberties versus risk of contamination → role of cancer patients' associations, psychologists and bioethicists.

CONCLUSION

We consider the creation of an emergency MTM, in particular, in addition to a true ethics committee with real competence in bioethics, to be a first solution that would be easy to implement in hospitals in many countries.

Longitudinal data on humoral response and neutralizing antibodies against SARS-CoV-2 Omicron BA.1 and subvariants BA.4/5 and BQ.1.1 after COVID-19 vaccination in cancer patients

PURPOSE

The SARS-CoV-2 Omicron variant of concern (VOC) and subvariants like BQ.1.1 demonstrate immune evasive potential. Little is known about the efficacy of booster vaccinations regarding this VOC and subvariants in cancer patients. This study is among the first to provide data on neutralizing antibodies (nAb) against BQ.1.1.

METHODS

Cancer patients at our center were prospectively enrolled between 01/2021 and 02/2022. Medical data and blood samples were collected at enrollment and before and after every SARS-CoV-2 vaccination, at 3 and 6 months.

RESULTS

We analyzed 408 samples from 148 patients (41% female), mainly with solid tumors (85%) on active therapy (92%; 80% chemotherapy). SARS-CoV-2 IgG and nAb titers decreased over time, however, significantly increased following third vaccination (p < 0.0001). NAb (ND50) against Omicron BA.1 was minimal prior and increased significantly after the third vaccination (p < 0.0001). ND50 titers against BQ.1.1 after the third vaccination were significantly lower than against BA.1 and BA.4/5 (p < 0.0001) and undetectable in half of the patients (48%). Factors associated with impaired immune response were hematologic malignancies, B cell depleting therapy and higher age. Choice of vaccine, sex and treatment with chemo-/immunotherapy did not influence antibody response. Patients with breakthrough infections had significantly lower nAb titers after both 6 months (p < 0.001) and the third vaccination (p = 0.018).

CONCLUSION

We present the first data on nAb against BQ.1.1 following the third vaccination in cancer patients. Our results highlight the threat that new emerging SARS-CoV-2 variants pose to cancer patients and support efforts to apply repeated vaccines. Since a considerable number of patients did not display an adequate immune response, continuing to exhibit caution remains reasonable.

Cancer Patients' Preferences and Perceptions of Advantages and Disadvantages of Telehealth Visits During the COVID-19 Pandemic

PURPOSE

We aimed to ascertain oncology patients' perceptions of telehealth versus in-person (IP) visits for different types of clinical encounters.

METHODS

We surveyed adults undergoing cancer treatment at Kaiser Permanente Northern California infusion centers between November 2021 and May 2022 using a self-administered questionnaire. Patients were asked about visit modality preferences (video, phone, and IP) for six types of clinical discussions, overall advantages and disadvantages of telehealth (video or phone) versus IP modalities, and barriers to video visit use.

RESULTS

The 839 patients who completed surveys in English were 63% female; median age 63 years; 64% White; and 73% college-educated (45% ≥bachelor's degree). For the first postdiagnosis discussion visit, 83% of patients preferred IP, followed by video (27%) and phone (18%). For follow-up visits, 52% of patients preferred IP, 50% video, and 37% phone. For discussions of bad news and sensitive topics, respectively, 68% and 62% preferred IP, 44% and 48% video, and 32% and 41% phone visits. Delivery of good news was acceptable through IP (49%), video (52%), or phone (49%) visits. Perceived advantages of IP visits were greater feelings of connection with their doctor (58%), confidence in physical examinations (73%), and ease in showing things (67%) and talking (51%) to the doctor. Advantages of telehealth visits included saved time (72%) and money (38%), less infection exposure (64%), less travel concerns (45%), and ability to include more people (28%). Of 24% of patients who felt video visits would be hard, 51% cited poor internet, 41% lack of an adequate device, and 28% difficulty signing on.

CONCLUSION

Our results support continued use and reimbursement for telehealth visits with patients with cancer for most types of clinical encounters, including clinical trials.

Comparing COVID-19 Response Behaviors between a Cancer Patient Sample and a Population-Based Cancer-Free Sample in a Rural Midwestern State

INTRODUCTION

The COVID-19 pandemic caused an increase in fear, anxiety, and depressive symptoms globally. For populations at increased risk for adverse outcomes due to illness, such as cancer patients, these worries may have been exacerbated. Understanding how the pandemic impacted cancer patients will inform better preparation for future events that cause disturbances to cancer care delivery.

METHODS

This study analyzed data from two surveys to determine whether cancer patients' responses differed from a cancer-free population-based sample in terms of concerns, preventive behaviors, and thoughts on their healthcare provider's communication regarding COVID-19 in a US Midwestern state. In August 2020, a survey was sent to 10,009 Iowans aged 18 and older, randomly selected from the 2018 Iowa voter registration file. In September 2020, a survey was emailed to 2,954 cancer patients aged 18 and older who opted into the University of Iowa Holden Comprehensive Cancer Center's Patients Enhancing Research Collaborations at Holden program. Previously validated and pretested Likert-type and multiple-choice items assessed concern regarding COVID-19, social distancing perception and behaviors, and demographic characteristics of respondents. We used χ2 tests and logistic regression to examine differences between the cancer patient and general population survey responses.

RESULTS

We included 3,622 responses from the general population survey and 780 responses from the cancer patient survey in this analysis. Cancer patient survey respondents were more frequently older, lived in urban areas, had Medicare insurance coverage, had a college degree or higher, and were married. Cancer patients were more likely to report engaging in social distancing behaviors and greater concern regarding the pandemic.

CONCLUSION

This study suggests differences in the impact of the COVID-19 pandemic on cancer patients compared to cancer-free members of the general population. These results indicate the need for consideration of cancer patients' physical and mental health during large-scale disruptions to cancer care.

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.

Defective T-cell response to COVID-19 vaccination in acute myeloid leukaemia and myelodysplastic syndromes

Limited data exist on COVID-19 vaccination efficacy in patients with acute myeloid leukemia and myelodysplasia with excess blasts (AML/MDS-EB2). We report results from a prospective study, PACE (Patients with AML and COVID-19 Epidemiology). 93 patients provided samples post-vaccine 2 or 3 (PV2, PV3). Antibodies against SARS-COV-2 spike antigen were detectable in all samples. Neutralization of the omicron variant was poorer than ancestral variants but improved PV3. In contrast, adequate T-cell reactivity to SARS-COV-2 spike protein was seen in only 16/47 (34%) patients PV2 and 23/52 (44%) PV3. Using regression models, disease response (not in CR/Cri), and increasing age predicted poor T cell response.

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.

The impact of COVID-19 on mortality, length of stay, and cost of care among patients with gastrointestinal malignancies: A propensity score-matched analysis

BACKGROUND

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the coronavirus 19 (COVID-19) pandemic have had a lasting impact on the care of cancer patients. The impact on patients with gastrointestinal (GI) malignancies remains incompletely understood. We aimed to assess the impact of COVID-19 on mortality, length of stay (LOS), and cost of care among patients with GI malignancies, and identify differences in outcomes based on primary tumor site.

METHODS

We analyzed discharge encounters collected from the National Inpatient Sample (NIS) between March 2020 and December 2020 using propensity score matching (PSM) and COVID-19 as the treatment effect.

RESULTS

Of the 87,684 patient discharges with GI malignancies, 1892 were positive for COVID-19 (C+) and eligible for matching in the PSM model. Following PSM analysis, C+ with GI tumors demonstrated increased incidence of mortality compared to their COVID-19-negative (C-) counterparts (21.3% vs. 11.9%, p < 0.001). C+ patients with colorectal cancer (CRC) had significantly higher mortality compared to those who were C- (40% vs. 24%; p = 0.035). In addition, C+ patients with GI tumors had a longer mean LOS (9.4 days vs. 6.9 days; p < 0.001) and increased cost of care ($26,048.29 vs. $21,625.2; p = 0.001) compared to C- patients. C+ patients also had higher odds of mortality secondary to myocardial infarction relative to C- patients (OR = 3.54, p = 0.001).

CONCLUSIONS

C+ patients with GI tumors face approximately double the odds of mortality, increased LOS, and increased cost of care compared to their C- counterparts. Outcome disparities were most pronounced among patients with CRC.

Initial functional disability as a 1-year prognostic factor in geriatric patients hospitalized with SARS-CoV-2 infection

BACKGROUND

SARS-CoV2 infection has affected many older people and has required us to adapt our practices to this new pathology. Initial functional capacity is already considered an important prognostic marker in older patients particularly during infections.

AIM

The objective of this longitudinal study was to determine whether baseline functional disability was associated with mortality risk after 1 year in older patients hospitalized for COVID-19.

METHODS

All COVID-19 patients admitted to the geriatric acute care unit of Angers University Hospital, France, between March-June 2020 received a group iso-ressource (GIR) assessment upon admission. Disability was defined as a GIR score≤3. All-cause mortality was collected after 1 year of follow-up. Covariables were age, sex, history of malignancies, hypertension, cardiomyopathy, number of acute diseases at baseline, and use of antibiotics or respiratory treatments during COVID-19 acute phase.

RESULTS

In total, 97 participants (mean±SD 88.0+5.4 years; 49.5% women; 46.4% GIR score≤3) were included. 24 of the 36 patients who did not survive 1 year had a GIR score ≤ 3 (66.7%; P = 0.003). GIR score≤3 was directly associated with 1-year mortality (fully adjusted HR = 2.27 95% CI: 1.07-4.89). Those with GIR≤3 at baseline had shorter survival time than the others (log-rank P = 0.0029).

CONCLUSIONS

Initial functional disability was associated with poorer survival in hospitalized frail elderly COVID-19 patients.

CLINICAL TRIAL REGISTRATION

ClinicalTrials.gov: NCT04560608 registered on September 23, 2022.

A population-scale temporal case-control evaluation of COVID-19 disease phenotype and related outcome rates in patients with cancer in England (UKCCP)

Patients with cancer are at increased risk of hospitalisation and mortality following severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. However, the SARS-CoV-2 phenotype evolution in patients with cancer since 2020 has not previously been described. We therefore evaluated SARS-CoV-2 on a UK populationscale from 01/11/2020-31/08/2022, assessing case-outcome rates of hospital assessment(s), intensive care admission and mortality. We observed that the SARS-CoV-2 disease phenotype has become less severe in patients with cancer and the non-cancer population. Case-hospitalisation rates for patients with cancer dropped from 30.58% in early 2021 to 7.45% in 2022 while case-mortality rates decreased from 20.53% to 3.25%. However, the risk of hospitalisation and mortality remains 2.10x and 2.54x higher in patients with cancer, respectively. Overall, the SARS-CoV-2 disease phenotype is less severe in 2022 compared to 2020 but patients with cancer remain at higher risk than the non-cancer population. Patients with cancer must therefore be empowered to live more normal lives, to see loved ones and families, while also being safeguarded with expanded measures to reduce the risk of transmission.

Current challenges and perspectives in lung cancer care during COVID-19 waves

PURPOSE OF REVIEW

In the era of the SARS-Cov2 pandemic, the multidisciplinary care of patients with lung cancer is the main challenge for clinicians. The depiction of complex networking between SARS-CoV2 and cancer cells is crucial to understanding the downstream signalling pathways leading to more severe clinical behaviour of COVID-19 among lung cancer patients.

RECENT FINDINGS

The immunosuppressive status caused by both blunted immune response and active anticancer treatments (e.g. radiotherapy, chemotherapy) affects also the response to vaccines. Furthermore, the COVID-19 pandemic has significantly influenced early detection, therapeutic management, and clinical research for patients with lung cancer.

SUMMARY

SARS-CoV-2 infection does undoubtedly represent a challenge for care of patients with lung cancer. Since symptoms of infection may overlap with underlying condition, diagnosis must be reached and treatment should start as soon as possible. Although any cancer treatment should be procrastinated as long as infection is not cured, every choice must be pondered on individual basis, according to clinical conditions. Underdiagnosis should be avoided, and both surgical and medical treatment must be tailored to each patient. Therapeutic scenario standardization represents a major challenge for clinicians and researchers.

Cycle threshold predicted mortality in a cohort of patients with hematologic malignancies infected with SARS-CoV-2

When a SARS-CoV-2 RT-qPCR test is performed, it may determine an indirect measure of viral load called cycle threshold (Ct). Respiratory samples with Ct <25.0 cycles are considered to contain a high viral load. We aimed to determine whether SARS-CoV-2 Ct at diagnosis could predict mortality in patients with hematologic malignancies (lymphomas, leukemias, multiple myeloma) who contracted COVID-19. We included 35 adults with COVID-19 confirmed by RT-qPCR performed at diagnosis. We evaluated mortality due to COVID-19 rather than mortality due to the hematologic neoplasm or all-cause mortality. Twenty-seven (27) patients survived and 8 died. The global mean Ct was 22.8 cycles with a median of 21.7. Among the survivors, the mean Ct was 24.2, and the median Ct value was 22.9 cycles. In the deceased patients, the mean Ct was 18.0 and the median Ct value was 17.0 cycles. Using the Wilcoxon Rank Sum test, we found a significant difference (p=0.035). SARS-CoV-2 Ct measured in nasal swabs obtained at diagnosis from patients with hematologic malignancies may be used to predict mortality.

Predictive factors of delayed viral clearance of asymptomatic Omicron-related COVID-19 screened positive in patients with cancer receiving active anticancer treatment

OBJECTIVES

We sought to identify the predictors of delayed viral clearance in patients with cancer with asymptomatic COVID-19 when the SARS-CoV-2 Omicron variants prevailed in Hong Kong.

METHODS

All patients with cancer who were attending radiation therapy for head and neck malignancies or systemic anticancer therapy saved their deep throat saliva or nasopharyngeal swabs at least twice weekly for SARS-CoV-2 screening between January 1 and April 30, 2022. The multivariate analyses identified predictors of delayed viral clearance (or slow recovery), defined as >21 days for the cycle threshold values rising to ≥30 or undetectable in two consecutive samples saved within 72 hours. Three machine learning algorithms evaluated the prediction performance of the predictors.

RESULTS

A total of 200 (15%) of 1309 patients tested positive for SARS-CoV-2. Age >65 years (P = 0.036), male sex (P = 0.003), high Charlson comorbidity index (P = 0.042), lung cancer (P = 0.018), immune checkpoint inhibitor (P = 0.036), and receipt of one or no dose of COVID-19 vaccine (P = 0.003) were significant predictors. The three machine learning algorithms revealed that the mean ± SD area-under-the-curve values predicting delayed viral clearance with the cut-off cycle threshold value ≥30 was 0.72 ± 0.11.

CONCLUSION

We identified subgroups with delayed viral clearance that may benefit from targeted interventions.

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.

The National COVID Cancer Antibody Survey: a hyper-accelerated study proof of principle for cancer research

The COVID-19 pandemic has led to a range of novel and adaptive research designs. In this perspective, we use our experience coordinating the National COVID Cancer Antibody Survey to demonstrate how a balance between speed and integrity can be achieved within a hyper-accelerated study design. Using the COVID-19 pandemic as an example, we show this approach is necessary in the face of uncertain and evolving situations wherein reliable information is needed in a timely fashion to guide policy. We identify streamlined participant involvement, healthcare systems integration, data architecture and real-world real-time analytics as key areas that differentiate this design from traditional cancer trials, and enable rapid results. Caution needs to be taken to avoid the exclusion of patient subgroups without digital access or literacy. We summarise the merits and defining features of hyper-accelerated cancer studies.

Vaccine hesitancy in cancer patients: A rapid review

INTRODUCTION

Vaccination is a key strategy to limit the impact of the COVID-19 pandemic, among vulnerable groups such as cancer patients. However, COVID-19 vaccine hesitancy is limiting vaccination uptake in this population as in others. This study aimed to synthesise the emerging literature on vaccine hesitancy in this population and in Oncology health professionals, reasons for and factors associated with hesitancy, and interventions that address hesitancy.

METHODS

A rapid review was undertaken PubMed, Ovid and Google across all years up to October 2021 for articles in English, from any country or region, addressing the above issues. Individual case studies, opinion pieces, commentary articles and conference abstracts were excluded. Article screening, data extraction and bias assessment were conducted by two authors. A narrative synthesis of the data was undertaken.

RESULTS

Eighteen eligible articles were identified. Reported COVID-19 vaccine hesitancy rates varied from 76.7 % to 3.9 %, with a mean of 38.4 %. A large international study (n > 20,000) reported a more conservative hesitancy rate of 19 %. Six broad, common reasons for hesitancy were identified. Oncologist advice was valued by patients.

DISCUSSION

Vaccine hesitancy remains a significant concern in the oncology context. Oncologists are key to addressing hesitancy and providing tailored advice to cancer patients.

PRACTICE IMPLICATIONS

Where possible, patients appreciate personalised, tailored information about vaccination which addresses its interaction with cancer and its treatment. Education programmes for oncologists to support effective communication in this context are needed. Webinars and peer-to-peer counselling may be useful but remain to be proven.

Brief Report: Declining Rates of SARS-CoV-2 Vaccine Uptake Among Patients With Thoracic Malignancies

•Patients with primary thoracic malignancies are at increased risk of complications and death from COVID-19. Multiple studies have demonstrated humoral immune responses to SARS-CoV-2 vaccinations in patients with cancer, though the degree of immunogenicity varies. Over the last year the United States CDC has issued recommendations for multiple additional ‘booster’ vaccine doses for patients with cancer for protection against severe disease. •In this study, we found that among 242 patients with primary thoracic malignancies who underwent initial vaccination against SARS-CoV-2, there was a marked decline in uptake of each subsequent additional vaccine dose. Specifically, among patients who received an initial mRNA-based vaccination series (mRNA-1273 or BNT162b2), 75% of eligible patients received the recommended third dose, 39% received the recommended fourth dose, and 5% received the recommended fifth dose at the time of data cutoff. Of note, we assessed serologic responses in a subset of patients receiving booster vaccinations and found that additional vaccinations increased humoral immunity, as expected. •With the recent CDC recommendation of novel bivalent mRNA-based vaccine booster doses for all individuals over the age of 12, our findings highlight the need for further understanding of the reasons behind decreased vaccine uptake and emphasize the importance of counseling by providers regarding public health recommendations for patients with lung cancer.

Severe SARS-CoV-2 infection as a marker of undiagnosed cancer: a population-based study

No study has yet investigated if a severe SARS-CoV-2 infection represents a marker of an undiagnosed cancer. This population-based study, using the SNDS database, identified from 02/15/2020 to 08/31/2021, 41,302 individuals hospitalized in intensive care unit due to SARS-CoV-2 (ICU-gr) and 713,670 control individuals not hospitalized for SARS-CoV-2 (C-gr). Individuals were matched according to year of birth, sex and French department. The cancer incidence was compared in the two groups during the follow-up period (index date-12/31/2021), using Cox proportional hazards models adjusted on matching variables, socioeconomic characteristics and comorbidities. In the ICU-gr, 2.2% (n = 897) was diagnosed with a cancer in the following months, compared to 1.5% (n = 10,944) in the C-gr. The ICU-gr had a 1.31 higher risk of being diagnosed with a cancer following hospital discharge compared to the C-gr (aHR 1.31, 95% CI 1.22-1.41). A global similar trend was found when competing risk of death was taken into account (aHR 1.25, 95% CI 1.16-1.34). A significant higher risk was found concerning renal (aHR 3.16, 95% CI 2.33-4.27), hematological (aHR 2.54, 95% CI 2.07-3.12), colon (aHR 1.72, 95% CI 1.34-2.21), and lung (aHR 1.70, 95% CI 1.39-2.08) cancers. This suggests that a severe SARS-CoV-2 infection may represent a marker of an undiagnosed cancer.

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.

Delayed organising pneumonia in an immunocompromised host after a mild COVID-19 infection

Organising pneumonia after a mild COVID-19 infection has been increasingly reported and poses a diagnostic challenge to physicians especially in immunocompromised patients. We report a patient with a background of lymphoma in remission on rituximab who presented with prolonged and persistent fever after recovering from a mild COVID-19 infection. The initial workup showed bilateral lower zone lung consolidation; however, the infective and autoimmune workup were unremarkable. Subsequently, a bronchoscopy with transbronchial lung biopsy confirmed the diagnosis of organising pneumonia. A tapering glucocorticoid regimen was commenced with prompt resolution of the patient's clinical symptoms, and subsequent resolution of biochemical markers and radiological lung changes 3 months later. This case highlights the importance of early recognition of the diagnosis of organising pneumonia in immunocompromised populations after a mild COVID-19 infection as it shows promising response to glucocorticoid therapy.

Management of patients with multiple myeloma and COVID-19 in the post pandemic era: a consensus paper from the European Myeloma Network (EMN)

In the post-pandemic COVID-19 period, human activities have returned to normal and COVID-19 cases are usually mild. However, patients with multiple myeloma (MM) present an increased risk for breakthrough infections and severe COVID-19 outcomes, including hospitalization and death. The European Myeloma Network has provided an expert consensus to guide patient management in this era. Vaccination with variant-specific booster vaccines, such as the bivalent vaccine for the ancestral Wuhan strain and the Omicron BA.4/5 strains, is essential as novel strains emerge and become dominant in the community. Boosters should be administered every 6-12 months after the last vaccine shot or documented COVID-19 infection (hybrid immunity). Booster shots seem to overcome the negative effect of anti-CD38 monoclonal antibodies on humoral responses; however, anti-BCMA treatment remains an adverse predictive factor for humoral immune response. Evaluation of the immune response after vaccination may identify a particularly vulnerable subset of patients who may need additional boosters, prophylactic therapies and prevention measures. Pre-exposure prophylaxis with tixagevimab/cilgavimab is not effective against the new dominant variants and thus is no longer recommended. Oral antivirals (nirmatrelvir/ritonavir and molnupiravir) and remdesivir are effective against Omicron subvariants BA.2.12.1, BA.4, BA.5, BQ.1.1 and/or XBB.1.5 and should be administered in MM patients at the time of a positive COVID-19 test or within 5 days post symptoms onset. Convalescent plasma seems to have low value in the post-pandemic era. Prevention measures during SARS-CoV-2 outbreaks, including mask wearing and avoiding crowded places, seem prudent to continue for MM patients.

The impact of the COVID-19 pandemic upon pancreatic cancer treatment (CONTACT Study): a UK national observational cohort study

INTRODUCTION

CONTACT is a national multidisciplinary study assessing the impact of the COVID-19 pandemic upon diagnostic and treatment pathways among patients with pancreatic ductal adenocarcinoma (PDAC).

METHODS

The treatment of consecutive patients with newly diagnosed PDAC from a pre-COVID-19 pandemic cohort (07/01/2019-03/03/2019) were compared to a cohort diagnosed during the first wave of the UK pandemic ('COVID' cohort, 16/03/2020-10/05/2020), with 12-month follow-up.

RESULTS

Among 984 patients (pre-COVID: n = 483, COVID: n = 501), the COVID cohort was less likely to receive staging investigations other than CT scanning (29.5% vs. 37.2%, p = 0.010). Among patients treated with curative intent, there was a reduction in the proportion of patients recommended surgery (54.5% vs. 76.6%, p = 0.001) and increase in the proportion recommended upfront chemotherapy (45.5% vs. 23.4%, p = 0.002). Among patients on a non-curative pathway, fewer patients were recommended (47.4% vs. 57.3%, p = 0.004) or received palliative anti-cancer therapy (20.5% vs. 26.5%, p = 0.045). Ultimately, fewer patients in the COVID cohort underwent surgical resection (6.4% vs. 9.3%, p = 0.036), whilst more patients received no anti-cancer treatment (69.3% vs. 59.2% p = 0.009). Despite these differences, there was no difference in median overall survival between the COVID and pre-COVID cohorts, (3.5 (IQR 2.8-4.1) vs. 4.4 (IQR 3.6-5.2) months, p = 0.093).

CONCLUSION

Pathways for patients with PDAC were significantly disrupted during the first wave of the COVID-19 pandemic, with fewer patients receiving standard treatments. However, no significant impact on survival was discerned.

Risk factors and outcomes of COVID-19 in adult patients with hematological malignancies: A single-center study showing lower than expected rates of hospitalization and mortality

BACKGROUND

Studies addressing coronavirus disease 2019 (COVID-19) in patients with hematological malignancies have reported mortality rates of up to 40%; however, included predominantly hospitalized patients.

METHODS

During the first year of the pandemic, we followed adult patients with hematological malignancies treated at a tertiary center in Jerusalem, Israel, who contracted COVID-19, with the aim of studying risk factors for adverse COVID-19-related outcomes. We used remote communication to track patients managed at home-isolation, and patient questioning to assess the source of COVID-19 infection, community versus nosocomial.

RESULTS

Our series included 183 patients, median age was 62.5 years, 72% had at least one comorbidity and 39% were receiving active antineoplastic treatment. Hospitalization, critical COVID-19, and mortality rates were 32%, 12.6%, and 9.8%, respectively, remarkably lower than previously reported. Age, multiple comorbidities, and active antineoplastic treatment were significantly associated with hospitalization due to COVID-19. Treatment with monoclonal antibodies was strongly associated with both hospitalization and critical COVID-19. In older (≥60) patients not receiving active antineoplastic treatment, mortality, and severe COVID-19 rates were comparable to those of the general Israeli population. We did not detect patients that contracted COVID-19 within the Hematology Division.

CONCLUSION

These findings are relevant for the future management of patients with hematological malignancies in COVID-19-affected regions.

Clinical Outcomes in Patients With COVID-19 and Hematologic Disease

BACKGROUND

Patients with hematologic diseases are at higher risk of the SARS-CoV-2 infection and more severe clinical outcomes of the coronavirus disease. CHRONOS19 is an observational prospective cohort study with the aim to determine the short and longer-term clinical outcomes, risk factors for disease severity and mortality, and rates of postinfectious immunity in patients with malignant and nonmalignant hematologic diseases and COVID-19.

PATIENTS AND METHODS

Overall, 666 patients were enrolled in the study, of which 626 were included in the final data analysis. The primary endpoint was 30-days all-cause mortality. Secondary endpoints included COVID-19 complications, rates of ICU admission and mechanical ventilation, outcomes of a hematologic disease in SARS-CoV-2 infected patients, overall survival, and risk factors for disease severity and mortality. Data from 15 centers were collected at 30, 90, and 180 days after COVID-19 was diagnosed and were managed using a web-based e-data capture platform. All evaluations were performed in the pre-omicron period of COVID-19 pandemic.

RESULTS

Thirty-days all-cause mortality was 18.9%. The predominant cause of death (in 80% of cases) were COVID-19 complications. At 180 days, the majority (70%) of additional deaths were due to hematologic disease progression. At a median follow-up of 5.7 [0.03-19.04] months, 6-months overall survival was 72% [95% CI: 0.69-0.76]. One-third of patients had severe SARS-CoV-2 disease. The rate of ICU admission was 22% with 77% of these patients requiring mechanical ventilation, with poor survival rate. A univariate analysis revealed that older age (≥ 60 years), male sex, malignant hematologic disease, myelotoxic agranulocytosis, transfusion dependence, refractory disease or relapse, diabetes among comorbidities, any complications, especially ARDS alone or in combination with CRS, admission to an ICU, and mechanical ventilation were associated with higher risks of mortality. Treatment of the hematologic disease was changed, postponed, or canceled in 63% of patients. At a longer follow-up (90 and 180 days), the status of the hematologic disease changed in 7.5% of patients.

CONCLUSION

Patients with hematologic disease and COVID-19 have high mortality rates, predominantly due to COVID-19 complications. At a longer-term follow-up, no significant impact of COVID-19 on the course of a hematologic disease was revealed.