Effect of Cancer on Clinical Outcomes of Patients With COVID-19: A Meta-Analysis of Patient Data

Sociodemographic, medical, health behavior, and psychosocial factors associated with COVID-19 diagnoses in the New Jersey cancer survivor cohort

BACKGROUND

Cancer survivors are more susceptible to contracting COVID-19. However, beyond race, age, and sex, less is known about other neighborhood and psychosocial factors contribute to this increased risk.

OBJECTIVE

The goal of this study was to examine the associations of individual and area-level social determinants of health (SDOH) measures, medical, lifestyle, and psychosocial factors and COVID-19 infection in a statewide cohort of cancer survivors in New Jersey.

METHODS

Survey data from 864 cancer survivors in New Jersey were collected from 2018 to 2022, which were merged with study participant data from the state of New Jersey on COVID-19 diagnoses in 2020, 2021, and 2022. We estimated adjusted odds ratios (aOR) for associations of COVID-19 diagnosis with individual-level factors (cancer type and stage, health behaviors, and psychosocial factors) and area-level SDOH [Social Vulnerability Index, Area Deprivation Index, and Index of Concentration at the Extremes (ICE) to quantify racialized deprivation vs. privilege based on income].

RESULTS

Cancer survivors born outside the US were more than twice as likely to contract COVID-19 compared to US-born survivors (aOR 2.29, 95% CI 1.01, 4.92). Compared to Quartile 4, residence in an area in Quartile 1 of racialized income ICE (i.e., predominantly Black, low income) was associated with higher odds of COVID-19 (aOR 2.15, 95% CI 0.98, 4.87). Retired survivors had lower odds of COVID-19 (aOR 0.39, 95% CI 0.19, 0.80) compared to those who were employed. Higher social well-being was associated with higher COVID-19 (aOR 1.07, 95% CI 1.02, 1.13). Type of cancer and cancer treatments received were not associated with the risk of COVID-19.

CONCLUSIONS

Immigrant status and increased racialized deprivation as measured by ICE for income were associated with COVID-19. These findings support evidence that individual and area-level SDOH measures contribute to increased risk of COVID-19 among cancer survivors.

Sociodemographic characteristics and health status of women with breast cancer and COVID 19 diagnosis by menopausal status a cross sectional study

The goal of this work is to investigate the sociodemographic characteristics and health status of women with breast cancer (BC) in association with COVID-19 by menopausal status. In a Swedish register-based cross-sectional study, we compared women with BC and with or without a positive COVID-19 test, stratified by menopausal status (age ≥ 51 years). Socioeconomic characteristics and health status (represented by diagnoses registered in 5 years- and prescription dispensed in 2 years preceding Jan 2020) were considered in association with COVID-19 diagnosis. The study population included 38,523 women with BC. Median age at BC diagnosis was 45 years (IQR = 40-48) for premenopausal- and 67 (IQR = 60-73) for postmenopausal BC. A logistic regression model was used and found the significant covariate effects (adjusted odds ratios, ORs) for a positive COVID-19 test among women with premenopausal BC to be being born outside of Europe: 1.29, (1.13-1.46), being married: 1.23, (1.12-1.36), being unemployed 1.92 (1.59-2.30), having upper secondary school education 1.25 (1.01-1.54), having > 15 outpatient visits: 1.31, (1.07-1.61), and a history of being admitted to hospital 1-5 times: 1.12 (1.01-1.25). Corresponding significant covariate effects among women with postmenopausal BC were being born outside of Europe: 1.61 (1.41-1.83), being married: 1.12 (1.04-1.21), and being unemployed 1.54 (1.40-1.69). Postmenopausal women furthermore had more outpatient visits or hospital admissions before the pandemic in COVID-19 positive patients compared to patients without a COVID-19 positive test, e.g. 1.47 (1.26-1.71) for > 15 outpatient visits compared with no visit and 6.35 (3.33-12.11) for > 15 hospital admissions compared with no admission. Varied socioeconomical and clinical conditions were more frequent among patients with a positive COVID-19 test compared to patients without a positive test among women with BC in pre- or post-menopausal status. We conclude that some characteristics of women such as unemployment, country of birth or health status measured by number of prescribed drugs were more prevalent among women who developed COVID-19 compared to women without COVID-19 diagnosis and either of menopausal status of breast cancer.

Lived Experiences of Self-Care in Older Adults with Lymphoma Undergoing Chemotherapy Treatments During the COVID-19 Pandemic

Background: To be diagnosed and treated for cancer can be a distressing experience, and it can require individuals to engage in self-care strategies to cope with the situation. The self-care experiences of older adults with lymphoma undergoing chemotherapy during the COVID-19 pandemic in Thailand remain rarely studied. This study aimed to explore the lived experiences of self-care among older adults with lymphoma undergoing chemotherapy during the COVID-19 pandemic. Methods: A hermeneutic phenomenology research design was used. It involved in-depth interviews with nine older adults with lymphoma undergoing chemotherapy. Data analysis utilized van Manen's approach, and trustworthiness was ensured by adhering to Lincoln and Guba's criteria. Results: This study revealed that the lived experience of self-care among older adults with lymphoma receiving chemotherapy during the COVID-19 pandemic encompasses five lifeworlds within the lived body, addressing aspects of (1) thumjai and (2) continuing to fight cancer. Lived relations means trusting healthcare providers and holding on together. Lived time reflects being aware of the natural path of life. The concept of lived space encompasses staying safe at home and staying cautious. Lived things reflect (1) accepting one's own karma and (2) living economically. Conclusions: The findings enhance the understanding of self-care experiences among older adults with lymphoma undergoing chemotherapy during the COVID-19 pandemic in an Asian context. The findings can inform the development of a person-centered nursing intervention tailored for older persons that emphasizes cultural aspects.

Autopsy findings in cancer patients infected with SARS-CoV-2 show a milder presentation of COVID-19 compared to non-cancer patients

COVID-19, caused by SARS-CoV-2, manifests with differing severity across distinct patient subgroups, with outcomes influenced by underlying comorbidities such as cancer, which may cause functional and compositional alterations of the immune system during tumor progression. We aimed to investigate the association of SARS-CoV-2 infection and its complications with cancer in a large autopsy series and the role of COVID-19 in the fatal sequence leading to death. A total of 2641 adult autopsies were investigated, 539 of these were positive for SARS-CoV-2. Among the total number of patients analyzed, 829 had active cancer. Overall, the cohort included 100 patients who simultaneously had cancer and SARS-CoV-2 infection. The course of COVID-19 was less severe in cancer patients, including a significantly lower incidence of viral and bacterial pneumonia, occurring more frequently as a contributory disease or coexisting morbidity, or as SARS-CoV-2 positivity without viral disease. SARS-CoV-2 positivity was more frequent among non-metastatic than metastatic cancer cases, and in specific tumor types including hematologic malignancies. COVID-19 was more frequently found to be directly involved in the fatal sequence in patients undergoing active anticancer therapy, but less frequently in perioperative status, suggesting that the underlying malignancy and consequent surgery are more important factors leading to death perioperatively than viral disease. The course of COVID-19 in cancer patients was milder and balanced during the pandemic. This may be due to relative immunosuppressed status, and the fact that even early/mild viral infections can easily upset their condition, leading to death from their underlying cancer or its complications.

COVID-19 testing and financial toxicity in cancer survivors

PURPOSE

To investigate the financial strain placed upon cancer survivors during the COVID-19 pandemic.

METHODS

We investigated the association of COVID-19 testing with financial toxicity among individuals with a history of cancer from using cross-sectional data from the 2020 National Health Interview Survey. Multivariable logistic regression (MLR) analysis assessed associations between clinical and sociodemographic covariates with being unable to pay medical bills currently and having problems paying medical bills over the last 12 months.

RESULTS

Of the 4,130 individuals assessed, 420 (10.2%) reported difficulty paying bills currently and 758 (18.4%) reported difficulty paying bills over the last 12 months. Respondents who reported being currently unable and/or having problems paying medical bills over the last 12 months were, on average, younger than those who did not. MLR analysis demonstrated that older age and annual income > $35,000 were associated with lower odds of being unable to pay medical bills currently, while ever being tested for COVID-19 increased likelihood. Older age and annual income over $100,000 were associated with decreased odds of having difficulty paying medical bills over the last 12 months, whereas ever being tested for COVID-19 was associated with increased odds.

CONCLUSIONS

Cancer patients who report having difficulty paying medical bills were more likely to have been tested for COVID-19, indicating an association between COVID-19 testing and increased financial toxicity among cancer survivors.

IMPLICATIONS FOR CANCER SURVIVORS

Healthcare providers should be aware of the financial strain placed upon patients with cancer during the pandemic so sufficient support may be provided.

Factors influencing in-hospital mortality in cancer patients with COVID-19: A retrospective survival analysis

Objective

The aim of this study was to evaluate survival in patients with COVID-19 and cancer, and to find factors associated with early mortality.

Methods

Retrospective cohort derived from a registry of a referral center in Bogotá. Survival was analyzed according to the type of neoplasm using Kaplan-Meier method. A cox regression was performed to look for factors associated to higher risk of death.

Results

Two hundred fifty-four patients were included with cancer and COVID-19, most of whom were women (median age 68 years; range 19-97). Cardiovascular comorbidities were frequent. Patients with hematologic neoplasms had higher survival than those with solid neoplasms (log-rank test, p = 0.024). C-reactive protein levels (hazard ratio 1.02; 95% confidence interval 1.00-1.03, p = 0.025), Charlson's comorbidity index (hazard ratio 1.15; 95% confidence interval 1.06-1.26, p = 0.004) and respiratory failure (hazard ratio 4.83; 95% confidence interval 2.47-9.44, p = <0.001) were significantly associated with higher mortality. No interaction between active anticancer therapy and mortality was observed.

Conclusion

In contrast to other reports, survival was worse in patients with solid tumors than in those with hematologic neoplasms. Increased C-reactive protein, Charlson's comorbidity index and respiratory failure were associated with higher in-hospital mortality. This study reveals the complex impact of cancer and its treatment on COVID-19 outcomes, highlighting the persistent risks to cancer patients. It emphasizes monitoring C-reactive protein levels, comorbidities, and respiratory failure as key indicators of poor prognosis. Furthermore, we provide new insights into the differential impact of COVID-19 on cancer patients with solid organ versus hematologic neoplasms.

Impact of SARS-CoV-2 infection on immune cell cuproptosis in patients with lung adenocarcinoma via glutamine regulation

OBJECTIVE

Lung adenocarcinoma (LA), the most prevalent type of lung cancer, is associated with a high mortality rate, especially among patients with cancer previously infected with coronavirus disease (COVID-19). Therefore, this study aimed to explore the mechanisms by which COVID-19 exacerbates LA progression in a clinical setting.

METHODS

The experiment involved collecting serum samples from three groups: a healthy control group (Con, n = 20), a lung adenocarcinoma group (LA, n = 30), and a group of lung adenocarcinoma patients with first-time COVID-19 infection (C-LA, n = 58). Metabolites were analyzed using liquid chromatography-mass spectrometry, and differentially expressed metabolites were identified through bioinformatics analysis. The concentrations of glutathione (GSH), reactive oxygen species (ROS), and copper ions (Cu2+) in the serum of patients in the Con and C-LA groups were measured. Mitochondrial morphological changes in monocytes and lymphocytes were observed using electron microscopy.

RESULTS

Metabolomic analysis revealed 142 distinct metabolites, among which glutamine (Gln) expression was significantly decreased in the C-LA group. Compared to the Con group, the C-LA group showed a significant decrease in GSH and a notable increase in ROS and Cu2+. Further research revealed that the mitochondria of monocytes and lymphocytes in the C-LA group exhibited corresponding alterations indicative of cuproptosis.

CONCLUSIONS

SARS-CoV-2 infection may reduce Gln levels, leading to reduced GSH levels, copper overload, and increased death of immune cells, which may further exacerbate rapid tumor development. Thus, glutamine regulation plays an important role in LA progression in patients with COVID-19 and represents a potential therapeutic target.

SARS-CoV-2 Vaccination in Patients with Cancer and COVID-19 in Mexico

OBJECTIVES

Vaccination is the best preventive measure for SARS-CoV-2 infection; however, efficacy is lower in cancer patients. During the pandemic period, Mexico was characterized by the use of seven different COVID-19 vaccine platforms, and oncologic patients were not prioritized for vaccination. We report the outcomes of COVID-19 in cancer patients after the beginning of the national vaccine campaign in Mexico.

METHODS

All patients with cancer and COVID-19 diagnosed at Instituto Nacional de Cancerología from 14 February 2021 to 28 February 2022 were included. Primary outcomes were the proportion of individuals who required hospital admission and/or invasive mechanical ventilation, according to the vaccination status; 30-day mortality; the period of infection; and other cancer-related variables.

RESULTS

A total of 691 patients were included; 524 (76%) had solid tumors (STs), and 167 (24%) had hematologic malignancies (HMs). Patients infected in the first two periods, had lower rates of vaccination and higher rates of mortality and hospitalization compared to those infected in the Omicron period. In the multivariate analysis, vaccination status was independently associated with hospitalization in patients with STs (aOR 0.38, 95%CI 0.19-0.75, p = 0.005), but it was not associated with invasive mechanical ventilation and 30-day mortality. In those with HMs, vaccination status was not associated with any outcome; in this group, only recent chemotherapy and time of infection were associated with invasive ventilation.

CONCLUSIONS

Vaccination significantly reduced hospital admissions in patients with STs. Infections occurring during the Omicron period were associated with improved outcomes in both ST and HM patients. Despite having a lesser impact in immunosuppressed patients, vaccination is an essential strategy, and access to vaccination campaigns in patients with cancer needs to be prioritized.

Risk of COVID-19 infection in patients with NSCLC receiving EGFR-TKI targeted therapy during the first wave in China

OBJECTIVE

We examined the factors influencing hospitalization and prognosis among patients with non-small cell lung cancer receiving epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) targeted therapy during the first wave of the coronavirus disease 2019 (COVID-19) pandemic.

METHODS

In total, 267 patients diagnosed with NSCLC who were receiving treatment with third-generation EGFR-TKIs were included in our retrospective study. Data on patients' demographics, clinical characteristics, and survival were collected and analyzed.

RESULTS

Over a mean follow-up of 18 months, 80.5% (215/267) of the patients contracted COVID-19, and 12.6% (27/215) of these patients were hospitalized for COVID-19 treatment. Vaccinated patients, those with body mass index (BMI) ≥22.3 kg/m2, and those with no comorbidities had lower rates of infection and hospitalization than unvaccinated patients, those with BMI <22.3 kg/m2, and those with comorbidities, respectively. Continued NSCLC treatment in patients with COVID-19 was identified as a risk factor for patient survival.

CONCLUSIONS

NSCLC treatment can be continued for patients who received COVID-19 vaccines, those with higher BMI, and those without comorbidities during the COVID-19 epidemic, but treatment interruption might be required for patients during the active phase of infection.

COVID-19 and Cancer Care: A Review and Practical Guide to Caring for Cancer Patients in the Era of COVID-19

COVID-19, a novel infectious disease caused by the emergence of the SARS-CoV-2 virus in 2020, has had a profound impact on healthcare, both at the individual and population level. The impact at the population level was felt most acutely during the emergency phase of the pandemic, with hospital capacity issues leading to widespread disruptions and delays in the delivery of healthcare services such as screening programs and elective surgeries. While hospitals are no longer being acutely overwhelmed by COVID-19 patients, the impact of the virus on vulnerable patient populations such as cancer patients continues to be of ongoing consequence. Cancer patients remain at high risk of hospitalization, ICU admission, and death due to COVID-19, even in the era of vaccination. Infection prevention and risk mitigation strategies such air quality control, masking, testing, vaccination, and treatment should therefore be integrated into the usual care and counseling of cancer patients moving forward to avoid preventable morbidity and mortality from this infection and ensure the safety of this vulnerable cohort as they navigate their cancer diagnosis and treatment in the era of COVID-19.

The impact of the California state lockdown during the COVID-19 pandemic on management of patients with pancreatic ductal adenocarcinoma

BACKGROUND AND OBJECTIVES

The SARS-COVID-19 pandemic significantly limited healthcare access. We sought to evaluate whether California's lockdown in March 2020 affected staging and time to treatment of pancreatic ductal adenocarcinoma (PDAC). We hypothesized that patients diagnosed after the lockdown would have longer time to treatment and higher stage at presentation.

METHODS

We retrospectively identified and categorized 1294 patients presenting to five University of California healthcare systems with a new diagnosis of PDAC into "pre-lockdown" and "post-lockdown" groups based on timing of pathologic diagnosis.

RESULTS

In the 12 months pre-lockdown, 835 patients were diagnosed with PDAC, and 459 patients in the 6 months post-lockdown. Demographics, staging, and treatment type were similar between eras. There was a decreased male:female ratio post- versus pre-lockdown (0.97 vs. 1.25; p = 0.03). Time from symptom onset to first treatment was significantly increased among females post-lockdown (p = 0.001). However, overall time from diagnosis to first treatment was shorter in the post-lockdown era (median 23 vs. 26 days, p < 0.001).

CONCLUSIONS

The COVID-19 lockdown did not significantly delay initial presentation, diagnosis, or treatment of newly diagnosed PDAC patients. Time from diagnosis to first treatment was shorter post-lockdown. Reduced healthcare utilization for minor complaints and increased telehealth utilization may have contributed.

Preventive Service Usage and New Chronic Disease Diagnoses: Using PCORnet Data to Identify Emerging Trends, United States, 2018-2022

Background

Data modernization efforts to strengthen surveillance capacity could help assess trends in use of preventive services and diagnoses of new chronic disease during the COVID-19 pandemic, which broadly disrupted health care access.

Methods

This cross-sectional study examined electronic health record data from US adults aged 21 to 79 years in a large national research network (PCORnet), to describe use of 8 preventive health services (N = 30,783,825 patients) and new diagnoses of 9 chronic diseases (N = 31,588,222 patients) during 2018 through 2022. Joinpoint regression assessed significant trends, and health debt was calculated comparing 2020 through 2022 volume to prepandemic (2018 and 2019) levels.

Results

From 2018 to 2022, use of some preventive services increased (hemoglobin A1c and lung computed tomography, both P < .05), others remained consistent (lipid testing, wellness visits, mammograms, Papanicolaou tests or human papillomavirus tests, stool-based screening), and colonoscopies or sigmoidoscopies declined (P < .01). Annual new chronic disease diagnoses were mostly stable (6% hypertension; 4% to 5% cholesterol; 4% diabetes; 1% colonic adenoma; 0.1% colorectal cancer; among women, 0.5% breast cancer), although some declined (lung cancer, cervical intraepithelial neoplasia or carcinoma in situ, cervical cancer, all P < .05). The pandemic resulted in health debt, because use of most preventive services and new diagnoses of chronic disease were less than expected during 2020; these partially rebounded in subsequent years. Colorectal screening and colonic adenoma detection by age group aligned with screening recommendation age changes during this period.

Conclusion

Among over 30 million patients receiving care during 2018 through 2022, use of preventive services and new diagnoses of chronic disease declined in 2020 and then rebounded, with some remaining health debt. These data highlight opportunities to augment traditional surveillance with EHR-based data.

Effects of Chemotherapy on Aneuploidy Rates in Sperm from Male Patients with Testicular Cancer or Hodgkin's Lymphoma-A Systematic Review

BACKGROUND

Testicular cancer and Hodgkin's lymphoma are prevalent malignancies among young males aged 20 to 39. The incidence of testicular cancer and lymphoma has risen in recent years, with orchiectomy often followed by adjuvant chemotherapy as the primary treatment for testicular cancer and chemotherapy for lymphoma. Chemotherapy has been associated with an increased risk of aneuploidy and reduced fertility.

METHOD

This systematic review included seven studies, both case-control and longitudinal prospective designs, from the PubMed, Embase, and Cochrane Library databases. The screening process was conducted using the online tool covidence.org.

RESULTS

The study outcomes indicate varied impacts of chemotherapy on aneuploidy rates. An increase in the aneuploidy rates, notably for the sex chromosomes, immediately post-treatment was a common trend, followed by a decline in pretreatment values.

CONCLUSION

This systematic review presents the effects of chemotherapy on the aneuploidy rates of testicular cancer and Hodgkin's lymphoma patients, with a decrease post-treatment. The findings underscore the need for larger, well-designed studies with a longer study period.

Risk factors and health behaviors associated with loneliness among cancer survivors during the COVID-19 pandemic

Loneliness may exacerbate poor health outcomes particularly among cancer survivors during the COVID-19 pandemic. Little is known about the risk factors of loneliness among cancer survivors. We evaluated the risk factors of loneliness in the context of COVID-19 pandemic-related prevention behaviors and lifestyle/psychosocial factors among cancer survivors. Cancer survivors (n = 1471) seen at Huntsman Cancer Institute completed a survey between August-September 2020 evaluating health behaviors, medical care, and psychosocial factors including loneliness during COVID-19 pandemic. Participants were classified into two groups: 'lonely' (sometimes, usually, or always felt lonely in past month) and 'non-lonely' (never or rarely felt lonely in past month). 33% of cancer survivors reported feeling lonely in the past month. Multivariable logistic regression showed female sex, not living with a spouse/partner, poor health status, COVID-19 pandemic-associated lifestyle factors including increased alcohol consumption and marijuana/CBD oil use, and psychosocial stressors such as disruptions in daily life, less social interaction, and higher perceived stress and financial stress were associated with feeling lonely as compared to being non-lonely (all p < 0.05). A significant proportion of participants reported loneliness, which is a serious health risk among vulnerable populations, particularly cancer survivors. Modifiable risk factors such as unhealthy lifestyle behaviors and psychosocial stress were associated with loneliness. These results highlight the need to screen for unhealthy lifestyle factors and psychosocial stressors to identify cancer survivors at increased risk of loneliness and to develop effective management strategies.

Glioblastoma patients' survival and its relevant risk factors during the pre-COVID-19 and post-COVID-19 pandemic: real-world cohort study in the USA and China

BACKGROUND

Although the COVID-19 pandemic has exerted potential impact on patients with glioblastomas (GBMs), it remains unclear whether the survival and its related risk factors of GBM patients would be altered or not during the period spanning from pre-COVID-19 to post-COVID-19 pandemic era. This study aimed to clarify the important issues above.

METHODS

Two observational cohorts were utilized, including the nationwide American cohort from the Surveillance, Epidemiology, and End-Results (SEER) and the Chinese glioblastoma cohort (CGC) at our institution during 2018-2020. Demographics, tumour features, treatment regimens and clinical outcomes were collected. Cox regression model, competing risk model, and subgroup and sensitivity analysis were used to dynamically estimate the survival and its relevant risk factors over different diagnosis years from the pre-COVID-19 (2018 and 2019) to post-COVID-19 (2020) pandemic. Causal mediation analysis was further adopted to explore the potential relationship between risk factors and mortality.

RESULTS

This study included 11321 GBM cases in SEER and 226 GBM patients in CGC, respectively. Instead of the diagnostic years of 2018-2020, the prognostic risk factors, such as advanced age, bilateral tumour and absence of comprehensive therapy (surgery combined with chemoradiotherapy), were identified to persistently affect GBM survival independently during the period from 2018 to 2020 in the SEER cohort (all P < 0.05). In CGC, lack of comprehensive therapy for GBM patients were restated as survival risk factors during the same timeframe. Causal mediation analysis showed that the effect of comprehensive therapy on all-cause mortality played a determinant role (direct effect value -0.227, 95% CI -0.248 to -0.207), which was partially mediated by age (9.11%) rather than tumour laterality.

CONCLUSIONS

As the timeframe shifted from pre-COVID-19 to post-COVID-19 pandemic, survival of GBM patients remained stable, yet advanced age, bilateral tumours, and passive treatment continuingly impacted GBM survival. It is necessary to optimize the comprehensive treatment for GBM patients even in the post-pandemic era.

An insight into the use of telemedicine technology for cancer patients during the Covid-19 pandemic: a scoping review

BACKGROUND

The use of telemedicine technology has significantly increased in recent years, particularly during the Covid-19 pandemic. This study aimed to investigate the use of telemedicine technology for cancer patients during the Covid-19 pandemic.

METHODS

This was a scoping review conducted in 2023. Various databases including PubMed, Web of Science, Scopus, Cochrane Library, Ovid, IEEE Xplore, ProQuest, Embase, and Google Scholar search engine were searched. All quantitative, qualitative, and mixed-method studies published in English between 2020 and 2022 were included. Finally, the needed data were extracted, and the results were synthesized and reported narratively.

RESULTS

A total of 29 articles were included in this review. The results showed that teleconsultation, televisit, and telerehabilitation were common telemedicine services, and video conferencing and telephone were common technologies used in these studies. In most cases, patients and healthcare providers preferred these services compared to the face-to-face consultations due to their convenience and advantages. Furthermore, the findings revealed that in terms of clinical outcomes, telemedicine could effectively reduce anxiety, pain, sleep disorders, and hospital admission rates.

CONCLUSION

The findings provided valuable insights into the various telemedicine technologies, services, users' perspectives, and clinical outcomes in cancer patients during the Covid-19 pandemic. Overall, the positive outcomes and users' satisfaction showed that the use of telemedicine technology can be expanded, particularly in cancer care. Future research needs to investigate both clinical and non-clinical effectiveness of using various telemedicine services and technologies for improving cancer care delivery, which can help to develop more successful strategies for implementing this technology.

Risk of COVID-19 death for people with a pre-existing cancer diagnosis prior to COVID-19-vaccination: A systematic review and meta-analysis

While previous reviews found a positive association between pre-existing cancer diagnosis and COVID-19-related death, most early studies did not distinguish long-term cancer survivors from those recently diagnosed/treated, nor adjust for important confounders including age. We aimed to consolidate higher-quality evidence on risk of COVID-19-related death for people with recent/active cancer (compared to people without) in the pre-COVID-19-vaccination period. We searched the WHO COVID-19 Global Research Database (20 December 2021), and Medline and Embase (10 May 2023). We included studies adjusting for age and sex, and providing details of cancer status. Risk-of-bias assessment was based on the Newcastle-Ottawa Scale. Pooled adjusted odds or risk ratios (aORs, aRRs) or hazard ratios (aHRs) and 95% confidence intervals (95% CIs) were calculated using generic inverse-variance random-effects models. Random-effects meta-regressions were used to assess associations between effect estimates and time since cancer diagnosis/treatment. Of 23 773 unique title/abstract records, 39 studies were eligible for inclusion (2 low, 17 moderate, 20 high risk of bias). Risk of COVID-19-related death was higher for people with active or recently diagnosed/treated cancer (general population: aOR = 1.48, 95% CI: 1.36-1.61, I2  = 0; people with COVID-19: aOR = 1.58, 95% CI: 1.41-1.77, I2  = 0.58; inpatients with COVID-19: aOR = 1.66, 95% CI: 1.34-2.06, I2  = 0.98). Risks were more elevated for lung (general population: aOR = 3.4, 95% CI: 2.4-4.7) and hematological cancers (general population: aOR = 2.13, 95% CI: 1.68-2.68, I2  = 0.43), and for metastatic cancers. Meta-regression suggested risk of COVID-19-related death decreased with time since diagnosis/treatment, for example, for any/solid cancers, fitted aOR = 1.55 (95% CI: 1.37-1.75) at 1 year and aOR = 0.98 (95% CI: 0.80-1.20) at 5 years post-cancer diagnosis/treatment. In conclusion, before COVID-19-vaccination, risk of COVID-19-related death was higher for people with recent cancer, with risk depending on cancer type and time since diagnosis/treatment.

Immunogenicity after vaccination of COVID-19 vaccines in patients with cancer: a prospective, single center, observational study

BACKGROUND

Patients with cancer, particularly those undergoing chemotherapy, are at risk from the low immunogenicity of Coronavirus Disease 19 (COVID-19) vaccines.

METHODS

This prospective study assessed the seroconversion rate of COVID-19 vaccines among patients with cancer and hospital staff. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike protein-specific IgG (S-IgG) concentrations were evaluated before the first vaccination, and 1-3 and 4-6 months after the second vaccination. The primary endpoint was the seroconversion rate measured 1-3 months after the second vaccine.

RESULTS

In total, 590 patients and 183 healthy hospital staff were analyzed. At 1-3 months after the second vaccination, the S-IgG antibody concentration exceeded the cut-off value (20 BAU/mL) in 96.1% (567/590) of the patients with cancer and 100% (183/183) of the healthy controls (p = 0.0024). At 4-6 months after the second vaccination, the S-IgG antibody concentration exceeded the cut-off value (20 BAU/ml for S-IgG) in 93.1% (461/495) of the patients with cancer and 100% (170/170) of the healthy controls (p < 0.0001). Old age, being male, and low lymphocyte count were related to low SARS-CoV-2 S-IgG levels 1-3 months after the second vaccination among patients, while body mass index, smoking history, and serum albumin level were not. Patients undergoing platinum combination therapy and alkylating agent among cytotoxic drugs, and PARP inhibitor, mTOR inhibitor, and BCR-ABL inhibitor exhibited a low S-IgG antibody concentration compared to the no treatment group.

CONCLUSIONS

COVID-19 vaccine immunogenicity was reduced among patients with cancer, especially under several treatment regimens.

Dual-Antigen-Displaying Nanovaccines Elicit Synergistic Immunoactivation for Treating Cancer and Preventing Infectious Complications

As one of the most common complications, infection causes the majority of mortality in cancer patients. However, therapeutic strategies that can simultaneously suppress tumors and protect patients from infection have been rarely reported. Here, the use of dual-antigen-displaying nanovaccines (DADNs) is described to elicit synergistic immunoactivation for treating cancer and preventing infectious complications. DADNs are prepared by wrapping immunoadjuvant-loaded nanoparticles with a hybrid coating, which is fused from cell membranes that are separately genetically engineered to express tumor and infectious pathogenic antigens. Due to the presence of a dual-antigen combination, DADNs are able to promote the maturation of dendritic cells and more importantly to trigger cross-presentation of both combined antigens. During in vivo investigations, we find that DADNs can reverse immunosuppression by stimulating tumor-associated antigen-specific T-cell responses, resulting in significantly delayed tumor growth in mice. These nanovaccines also elicit effective protective immunity against tumor challenges and induce robust production of pathogenic antigen-specific immunoglobulin G antibody in a prophylactic study. This work offers a unique approach to develop dual-mode vaccines, which are promising for synchronously treating cancer and preventing infection.

Early predictors of intensive care unit admission among COVID-19 patients in Qatar

Background

COVID-19 is associated with significant morbidity and mortality. This study aimed to explore the early predictors of intensive care unit (ICU) admission among patients with COVID-19.

Methods

This was a case-control study of adult patients with confirmed COVID-19. Cases were defined as patients admitted to ICU during the period February 29-May 29, 2020. For each case enrolled, one control was matched by age and gender.

Results

A total of 1,560 patients with confirmed COVID-19 were included. Each group included 780 patients with a predominant male gender (89.7%) and a median age of 49 years (interquartile range = 18). Predictors independently associated with ICU admission were cardiovascular disease (adjusted odds ratio (aOR) = 1.64, 95% confidence interval (CI): 1.16-2.32, p = 0.005), diabetes (aOR = 1.52, 95% CI: 1.08-2.13, p = 0.016), obesity (aOR = 1.46, 95% CI: 1.03-2.08, p = 0.034), lymphopenia (aOR = 2.69, 95% CI: 1.80-4.02, p < 0.001), high AST (aOR = 2.59, 95% CI: 1.53-4.36, p < 0.001), high ferritin (aOR = 1.96, 95% CI: 1.40-2.74, p < 0.001), high CRP (aOR = 4.09, 95% CI: 2.81-5.96, p < 0.001), and dyspnea (aOR = 2.50, 95% CI: 1.77-3.54, p < 0.001).

Conclusion

Having cardiovascular disease, diabetes, obesity, lymphopenia, dyspnea, and increased AST, ferritin, and CRP were independent predictors for ICU admission in patients with COVID-19.

Cross-sectional survey evaluating the psychological impact of the COVID-19 vaccination campaign in patients with cancer: The VACCINATE study

The COVID-19 pandemic has profoundly impacted on cancer patients' psychological well-being and clinical status. We assessed the levels of anxiety, depression, and distress and the attitude towards COVID-19 vaccination in cancer patients, accepting vaccination at the Verona University Hospital and Camposampiero Hospital in the Veneto region. Self-reported questionnaires were administered to patients undergoing COVID-19 vaccination between March and May 2021 (first and second dose). Twenty-seven items were investigated: i) demographics/clinical characteristics; ii) anxiety, depression, and distress (Hospital Anxiety and Depression Scale-HADS-and Distress Thermometer-DT); iii) four specific items regarding awareness about infection risks, interference with anticancer treatments, and vaccine side effects. Sixty-two and 57% of the patients who accepted to be vaccinated responded to the survey in the two participating Hospitals, respectively. Mean age was 63 years (SD: 12 years; range 19-94 years), women were slightly more prevalent (57.6%), most participants were married (70%), and either worker or retired (60%). Borderline and clinical levels of anxiety were recorded in 14% and 10% of respondents; borderline and clinical levels of depression in 14% and 8%; and moderate and severe distress levels in 33% and 9%. Overall, there was high confidence that vaccination would reduce the risk of contracting COVID-19 (70%), which would make patients feel less worried about contracting the infection (60%). Fear that vaccine-related side effects would interfere with anticancer treatment and/or global health status was low (10% and 9% for items 3 and 4, respectively) and significantly associated with baseline levels of anxiety, depression, and distress at multivariate analysis. Results did not differ between the Verona and Camposampiero cohorts. During the COVID-19 vaccination campaign, adult cancer patients demonstrated high levels of confidence towards vaccination; baseline levels of anxiety, depression, and distress were the only significant predictors of reduced confidence.

Head and Neck Cancer Patient Population, Management, and Oncologic Outcomes from the COVID-19 Pandemic

The COVID-19 pandemic precipitated drastic changes in cancer care. Its impact on the U.S. head and neck cancer population has yet to be fully understood. This study aims to understand the impact of pandemic-related changes on the head and neck cancer population. An observational study of head and neck cancer patients at a single institution during the spring of 2020 and 2019 was performed. Clinical characteristics and survival outcomes were analyzed. In 2020, 54 head and neck cancer patients were evaluated in the department of radiation oncology vs. 74 patients seen in 2019; 42% of the patients were female in 2019 versus 24% in 2020 (p = 0.036). The median follow-up time was 19.4 and 31 months for 2020 and 2019, respectively. After adjusting for stage, the relapse-free survival probability at 6 and 12 months was 79% and 69% in 2020 vs. 96% and 89% in 2019, respectively (p = 0.036). There was no significant difference in the overall survival, with 94% and 89% in 2020 and 2019, respectively (p = 0.61). Twenty-one percent of patients received induction chemotherapy in 2020 versus 5% in 2019 (p = 0.011); significantly more treatment incompletions occurred in 2020, 9% vs. 0% in 2019 (p = 0.012). Moreover, the stage-adjusted RFS differed between cohorts, suggesting head and neck cancer patients seen during the initial wave of COVID-19 may experience worse oncologic outcomes.

Gene crosstalk between COVID-19 and preeclampsia revealed by blood transcriptome analysis

Background

The extensive spread of coronavirus disease 2019 (COVID-19) has led to a rapid increase in global mortality. Preeclampsia is a commonly observed pregnancy ailment characterized by high maternal morbidity and mortality rates, in addition to the restriction of fetal growth within the uterine environment. Pregnant individuals afflicted with vascular disorders, including preeclampsia, exhibit an increased susceptibility to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection via mechanisms that have not been fully delineated. Additionally, the intricate molecular mechanisms underlying preeclampsia and COVID-19 have not been fully elucidated. This study aimed to discern commonalities in gene expression, regulators, and pathways shared between COVID-19 and preeclampsia. The objective was to uncover potential insights that could contribute to novel treatment strategies for both COVID-19 and preeclampsia.

Method

Transcriptomic datasets for COVID-19 peripheral blood (GSE152418) and preeclampsia blood (GSE48424) were initially sourced from the Gene Expression Omnibus (GEO) database. Subsequent to that, we conducted a subanalysis by selecting females from the GSE152418 dataset and employed the "Deseq2" package to identify genes that exhibited differential expression. Simultaneously, the "limma" package was applied to identify differentially expressed genes (DEGs) in the preeclampsia dataset (GSE48424). Following that, an intersection analysis was conducted to identify the common DEGs obtained from both the COVID-19 and preeclampsia datasets. The identified shared DEGs were subsequently utilized for functional enrichment analysis, transcription factor (TF) and microRNAs (miRNA) prediction, pathway analysis, and identification of potential candidate drugs. Finally, to validate the bioinformatics findings, we collected peripheral blood mononuclear cell (PBMC) samples from healthy individuals, COVID-19 patients, and Preeclampsia patients. The abundance of the top 10 Hub genes in both diseases was assessed using real-time quantitative polymerase chain reaction (RT-qPCR).

Result

A total of 355 overlapping DEGs were identified in both preeclampsia and COVID-19 datasets. Subsequent ontological analysis, encompassing Gene Ontology (GO) functional assessment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, revealed a significant association between the two conditions. Protein-protein interactions (PPIs) were constructed using the STRING database. Additionally, the top 10 hub genes (MRPL11, MRPS12, UQCRH, ATP5I, UQCRQ, ATP5D, COX6B1, ATP5O, ATP5H, NDUFA6) were selected based on their ranking scores using the degree algorithm, which considered the shared DEGs. Moreover, transcription factor-gene interactions, protein-drug interactions, co-regulatory networks of DEGs and miRNAs, and protein-drug interactions involving the shared DEGs were also identified in the datasets. Finally, RT-PCR results confirmed that 10 hub genes do exhibit distinct expression profiles in the two diseases.

Conclusion

This study successfully identified overlapping DEGs, functional pathways, and regulatory elements between COVID-19 and preeclampsia. The findings provide valuable insights into the shared molecular mechanisms and potential therapeutic targets for both diseases. The validation through RT-qPCR further supports the distinct expression profiles of the identified hub genes in COVID-19 and preeclampsia, emphasizing their potential roles as biomarkers or therapeutic targets in these conditions.

Long-Lasting SARS-CoV-2 Infection With Post-COVID-19 Chronic Interstitial Pneumonia in a Patient With Chronic Lymphocytic Leukemia Treated Successfully With Intravenous Immunoglobulin

Post-coronavirus disease 2019 (post-COVID-19) condition is a post-acute syndrome characterized by non-specific symptoms that remain for at least two months and typically appear three months after the start of the acute phase. Individuals with chronic lymphocytic leukemia (CLL) are considered to be at high risk of contracting COVID-19. It is also becoming increasingly evident that the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine response is frequently lacking or insufficient. We present a 77-year-old male patient with CLL who had multiple hospitalizations for the management of pneumonia related to persistent COVID-19 infection due to hypogammaglobulinemia. He was subsequently treated with intravenous immunoglobulin (IVIG). This case emphasizes the importance of the early detection of hypogammaglobulinemia in patients with CLL and long COVID because of the potential therapeutic benefit of IVIG therapy. We also provide a literature review on COVID-19 infection in CLL patients, focusing mainly on the subset population of patients with hypergammaglobulinemia.

Risk factors for progressing to severe COVID-19 among people living with HIV in Japan: A hospital claims database study

INTRODUCTION

Risk factors for severe COVID-19 associated with people living with HIV (PLWH) have not been well studied in Japan. In this study, we aim to reveal how having AIDS and comorbidities affect adverse COVID-19 outcomes.

METHODS

This observational, retrospective study examined the clinical outcomes for PLWH hospitalized as COVID-19 inpatients in Japan, using data extracted from hospitals with the Diagnosis Procedure Combination (DPC) system between January 2020 and December 2021. From 4672 records of HIV patients receiving antiretroviral therapy, 85 adult PLWH became hospitalized with COVID-19. The associations between patients' AIDS diagnosis, comorbidities, and their adverse COVID-19 outcomes (mild/moderate and severe/death) were analyzed.

RESULTS

Among 85 studied patients, 78 were male (91.8%) with mean (SD) age of 48 (14.4) years. 75 (88.2%) were found to be COVID-19 mild/moderate; 9 (10.6%) were severe; 1 (1.2%) died. Older age (p = 0.002) and hypertension (p = 0.032) were significantly associated with progressing to severe COVID-19 or death. AIDS and other AIDS-defining illnesses were not found to be significant risk factors in this study.

CONCLUSIONS

While interpretation of the results from this hospital claim database study warrants caution, we found that among PLWH hospitalized as COVID-19 inpatients in Japan, those who are older or with hypertension have a higher risk for progression to severe COVID-19 outcomes, suggesting a careful monitoring of clinical course for these patients.

Impact of an Institution-Wide Goals of Care Program on the Timing of Referrals to Outpatient Palliative Care

CONTEXT

Palliative care has received increased interest since the COVID-19 pandemic due to its role in guiding goals of care (GOC) discussions.

OBJECTIVES

We assessed the change in the timing of outpatient palliative care referrals before and after implementing an institution-wide multicomponent interdisciplinary GOC (myGOC) program.

METHODS

We reviewed 200 random supportive care center (SCC) consult visits each from June to November 2019 (before myGOC) and June to November 2020 (after myGOC). Data regarding Edmonton Symptom Assessment Scale (ESAS) scores, time from hospital registration to SCC visit, SCC visit until death/last follow-up, and advance care planning (ACP) notes were collected. Kaplan-Meier curves were used to evaluate overall survival (OS).

RESULTS

The median OS from the SCC consult visit was 15.2 months (95% CI:11.7-19.7) before and 14.0 months (95% CI:10.8-17.9) after the myGOC program (P = 0.646). There were no significant differences in the median time between the SCC consult visit to death/last follow-up (11.95 vs. 12.0 months after myGOC; P = 0.841) and the first visits to our cancer center and SCC (6.1 vs. 5.29 months after myGOC; P = 0.689). Patients seen after myGOC had significantly lower ESAS symptom scores, better performance status (2 [1-2] vs. 2 [1-3]; P = 0.018], and more ACP notes composed by medical oncology teams (25.5% vs. 4.5%; P < 0.001).

CONCLUSION

There were no significant differences in OS among patients seen in the SCC before and after myGOC, likely related to a ceiling effect. More oncologists had ACP discussions with patients, and patients had lower symptom scores on ESAS after myGOC, likely indicating that more patients were referred for GOC discussions and ACP rather than for symptom distress.

Coronavirus Disease Vaccination Among Persons With Disabilities: Understanding Vaccine Perceptions and Hesitancy in Ghana

The effects of coronavirus disease 2019 (COVID-19) have been felt globally and in all spheres of life. Developing vaccines was an important milestone in ensuring the protection of lives, but there are concerns about vaccine availability in sub-Saharan African (SSA) countries. The living conditions of persons with disabilities, in particular, in SSA societies have been described as deplorable and unsustainable, and they are at risk of discrimination. Such persons appear to be already struggling to obtain other basic services, and the extent of vaccine accessibility to this population remains unknown. This study aimed to assess the perceptions of persons with disabilities in Ghana of COVID-19 vaccines. Between July 2021 and December 2021, 336 persons with disabilities (hearing, visual, and physical) were recruited from two regions in Ghana. The attitude toward the COVID-19 vaccination scale was adapted for this study. The results showed that persons with disabilities were ambivalent toward vaccination, and differences were observed between participant groups. The background variables found to influence attitude were age, place of residence, educational qualification, gender, and COVID-19 acquisition status. The study concludes with a clarion call to policymakers to expedite public education for persons with disabilities.

Nasopharynx Battlefield: Cellular Immune Responses Mediated by Midkine in Nasopharyngeal Carcinoma and COVID-19

Clinical evidence suggests that the severe respiratory illness coronavirus disease 2019 (COVID-19) is often associated with a cytokine storm that results in dysregulated immune responses. Prolonged COVID-19 positivity is thought to disproportionately affect cancer patients. With COVID-19 disrupting the delivery of cancer care, it is crucial to gain momentum and awareness of the mechanistic intersection between these two diseases. This review discusses the role of the cytokine midkine (MK) as an immunomodulator in patients with COVID-19 and nasopharyngeal carcinoma (NPC), both of which affect the nasal cavity. We conducted a review and analysis of immunocellular similarities and differences based on clinical studies, research articles, and published transcriptomic datasets. We specifically focused on ligand-receptor pairs that could be used to infer intercellular communication, as well as the current medications used for each disease, including NPC patients who have contracted COVID-19. Based on our findings, we recommend close monitoring of the MK axis to maintain the desirable effects of therapeutic regimens in fighting both NPC and COVID-19 infections.

Hospitalization Among Patients Treated With Molnupiravir: A Retrospective Study of Administrative Data

PURPOSE

Molnupiravir is an oral antiviral agent authorized for emergency use to treat mild to moderate cases of coronavirus disease 2019 (COVID-19) in adults at high risk for progression to severe clinical outcomes. This study aimed to describe patient characteristics and health outcomes in a cohort of adult patients treated with molnupiravir in an outpatient setting in the United States.

METHODS

This was a retrospective cohort study of adults identified in the HealthVerity database with a pharmacy claim for molnupiravir between December 24, 2021, and April 14, 2022. Hospitalization and health care use were assessed over the 28 days after the molnupiravir pharmacy claim.

FINDINGS

Among 26,554 patients identified, 71.1% were aged ≥50 years and 58.9% were female. A total of 8794 patients (33.1%) had received at least 1 dose of the COVID-19 vaccine. The most prevalent risk factors for severe COVID-19 identified were hypertension (45.1%), steroid and/or immunosuppressant use (39.6%), and being obese or overweight (24.6%), with 79.1% of patients having ≥1 risk factor. The majority (61.0%) of patients were prescribed comedications contraindicated with or had the potential for major drug-drug interactions with ritonavir-containing regimens. Within 28 days after initiating molnupiravir, 3.3% of patients were hospitalized for any cause and 1.7% for COVID-19-related reasons. Among all hospitalized patients, 9.2% were admitted to an intensive care unit, 3.9% received oxygen, and 3.8% required mechanical ventilation.

IMPLICATIONS

The majority of patients treated with molnupiravir in early 2022 had at least one risk factor for severe COVID-19 and had comedications that could require treatment modification or monitoring if given a ritonavir-containing regimen. Hospitalization was uncommon after treatment with molnupiravir, with COVID-19-related inpatient admission in <2% of patients. Among those hospitalized, patient use of intensive care and oxygen-based resources was infrequent. The study design, however, does not permit any conclusions regarding the effectiveness of molnupiravir.

Immunogenicity of COVID-19 vaccines in lung cancer patients

OBJECTIVE

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

PATIENTS AND METHODS

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

RESULTS

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

CONCLUSIONS

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

TRIAL REGISTRATION

NCT04407143.

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

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

SARS-CoV-2 Infection, Vaccination and Risk of Death in People with An Oncological Disease in Northeast Italy

People with a history of cancer have a higher risk of death when infected with SARS-CoV-2. COVID-19 vaccines in cancer patients proved safe and effective, even if efficacy may be lower than in the general population. In this population-based study, we compare the risk of dying of cancer patients diagnosed with COVID-19 in 2021, vaccinated or non-vaccinated against SARS-CoV-2 and residing in Friuli Venezia Giulia or in the province of Reggio Emilia. An amount of 800 deaths occurred among 6583 patients; the risk of death was more than three times higher among unvaccinated compared to vaccinated ones [HR 3.4; 95% CI 2.9-4.1]. The excess risk of death was stronger in those aged 70-79 years [HR 4.6; 95% CI 3.2-6.8], in patients with diagnosis made <1 year [HR 8.5; 95% CI 7.3-10.5] and in all cancer sites, including hematological malignancies. The study results indicate that vaccination against SARS-CoV-2 infection is a necessary tool to be included in the complex of oncological therapies aimed at reducing the risk of death.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSION

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

Real-World Utilization of Molnupiravir during the COVID-19 Omicron Surge in Israel

Molnupiravir (MOV) was introduced in Israel in January 2022 during the SARS-CoV-2 Omicron surge for high-risk patients contraindicated for nirmatrelvir/ritonavir. This retrospective cohort study aimed to describe characteristics of patients offered COVID-19 antiviral treatment in Maccabi Healthcare Services (antiviral treatment-eligible cohort; n = 5596) between 12 January and 28 February 2022, and the subset of these who were dispensed MOV (MOV-treated cohort; n = 1147), as well as outcomes following MOV dispensation. Median (interquartile range) age in the antiviral treatment-eligible and MOV-treated cohorts were 70.5 (61.1, 77.3) and 74.1 (64.3, 81.7) years, respectively. The MOV-treated cohort (male: 53.2%) had high rates of COVID-19 vaccination (91.4%) and comorbidities, including immunosuppression (40.0%) and chronic kidney disease (67.0%; eGFR < 30 mL/min/1.73 m2: 28.8%), and most used comedications either contraindicated or with major potential for drug-drug interactions with nirmatrelvir/ritonavir (87.3%). At 28 days post-MOV dispensation, the cumulative incidence (95% CI) of COVID-19-related hospitalization and/or all-cause mortality was 3.6% (2.5%, 4.6%), with similar rates across sexes and age groups (18-64 vs. ≥65 years), and lower rates among recently vaccinated and/or recently SARS-CoV-2-infected patients. These data describe the characteristics and outcomes for MOV-treated patients in Israel, whose clinical characteristics may preclude the use of nirmatrelvir/ritonavir to treat their COVID-19 infection.

Prevalence and factors of COVID-19 vaccine refusal among solid cancer patients in China: an application of the health belief model

Introduction

It is essential to protect cancer patients from contracting COVID-19 through vaccination. A majority of cancer patients are recommended by international health authorities to take up the vaccines. COVID-19 vaccine refusal among cancer patients during the pandemic period is under-researched. This study investigated factors of vaccine refusal based on the Health Belief Model (HBM).

Methods

A cross-sectional study was conducted among female breast cancer patients, male/female thyroid cancer patients, and gynecological cancer patients in Shantou, China from April to August 2022 (n = 1,115). Multinomial logistic regression analysis adjusted for socio-demographics was conducted to test factors of COVID-19. Adjusted odds ratios of the two models comparing vaccine refusal vs. "vaccine non-refusal" and vaccine refusal vs. ever-vaccination were derived and presented.

Results

Of all the participants, the prevalence of vaccine refusal, "vaccine non-refusal," and ever-vaccination was 25.9, 22.2, and 51.8%, respectively. In both multinomial logistic regression models, significant factors of vaccine refusal included socio-demographics (age, education level, employment status, monthly household income, cancer type, duration since cancer diagnosis, current treatment status) and some vaccine-related HBM (perceived benefits, perceived barriers, cue to action, and self-efficacy). Perceived severity of COVID-19 was significant only in the vaccine refusal vs. ever-vaccination model. In neither model, perceived susceptibility to contract COVID-19 was statistically significant.

Conclusion

About ¼ of the participants expressed vaccine refusal. Interventions are warranted. Future longitudinal studies are needed to verify this study's findings. Pilot interventions should also be launched to test effectiveness of interventions modifying the significant HBM factors found in this study.

Influence of SARS-CoV-2 mRNA Vaccine Booster among Cancer Patients on Active Treatment Previously Immunized with Inactivated versus mRNA Vaccines: A Prospective Cohort Study

Cancer patients on chemotherapy have a lower immune response to SARS-CoV-2 vaccines. Therefore, through a prospective cohort study of patients with solid tumors receiving chemotherapy, we aimed to determine the immunogenicity of an mRNA vaccine booster (BNT162b2) among patients previously immunized with an inactivated (CoronaVac) or homologous (BNT162b2) SARS-CoV-2 vaccine. The primary outcome was the proportion of patients with anti-SARS-CoV-2 neutralizing antibody (NAb) seropositivity at 8-12 weeks post-booster. The secondary end points included IgG antibody (TAb) seropositivity and specific T-cell responses. A total of 109 patients were included. Eighty-four (77%) had heterologous vaccine schedules (two doses of CoronaVac followed by the BNT162b2 booster) and twenty-five had (23%) homologous vaccine schedules (three doses of BNT162b2). IgG antibody positivity for the homologous and heterologous regimen were 100% and 96% (p = 0.338), whereas NAb positivity reached 100% and 92% (p = 0.13), respectively. Absolute NAb positivity and Tab levels were associated with the homologous schedule (with a beta coefficient of 0.26 with p = 0.027 and a geometric mean ratio 1.41 with p = 0.044, respectively). Both the homologous and heterologous vaccine regimens elicited a strong humoral and cellular response after the BNT162b2 booster. The homologous regimen was associated with higher NAb positivity and Tab levels after adjusting for relevant covariates.

Effects of SARS-CoV-2 infections in patients with cancer on mortality, ICU admission and incidence: a systematic review with meta-analysis involving 709,908 participants and 31,732 cancer patients

BACKGROUND

Cancer patients constitute one of the highest-risk patient groups during the COVID-19 pandemic. In this study, it was aimed to perform a systematic review and meta-analysis to determine both the incidence and ICU (Intensive Care Unit) admission rates and mortality in SARS-CoV-2 infected cancer patients.

METHODS

The PRISMA guidelines were closely followed during the design, analysis, and reporting of this systematic review and meta-analysis. A comprehensive literature search was performed for the published papers in PubMed/Medline, Scopus, medRxiv, Embase, and Web of Science (WoS) databases. SARS-CoV-2 infection pooled incidence in the cancer populations and the risk ratio (RR) of ICU admission rates/mortality in cancer and non-cancer groups, with 95% confidence intervals (CIs), were calculated using the random-effects model.

RESULTS

A total of 58 studies, involving 709,908 participants and 31,732 cancer patients, were included in this study. The incidence in cancer patients was calculated as 8% (95% CI: 8-9%). Analysis results showed that mortality and ICU admission rate was significantly higher in patients with cancer (RR = 2.26, 95% CI: 1.94-2.62, P < 0.001; RR = 1.45, 95% CI: 1.28-1.64, p < 0.001, respectively).

CONCLUSION

As a result, cancer was an important comorbidity and risk factor for all SARS-CoV-2 infected patients. This infection could result in severe and even fatal events in cancer patients. Cancer is associated with a poor prognosis in the COVID-19 pandemic. Cancer patients should be assessed more sensitively in the COVID-19 outbreak.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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

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

Anticancer Therapy and Mortality of Adult Patients with Hematologic Malignancy and COVID-19: A Systematic Review and Meta-Analysis

Coronavirus disease 2019 (COVID-19) might affect cancer treatment outcomes. This systematic review and meta-analysis identified the prognostic predictors of adult patients with hematologic malignancies and COVID-19, and evaluated the effect of anticancer therapy on mortality. We performed a literature search of electronic databases and identified additional studies from the bibliographies of the articles that were retrieved. Two investigators independently extracted data according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) reporting guidelines. We evaluated study quality using the Newcastle-Ottawa Scale and performed a meta-analyses in order to evaluate the effect of anticancer therapy on mortality among adult patients with hematologic malignancies and COVID-19. Heterogeneity was assessed with the I² statistic. The meta-analysis included 12 studies. The overall mortality rate was 36.3%. The pooled risk difference (RD) in mortality between patients receiving and not receiving anticancer therapy was 0.14 (95% confidence interval [CI]: 0.02-0.26; I² = 76%). The pooled RD in mortality associated with chemotherapy was 0.22 (95% CI: 0.05-0.39; I² = 48%), and with immunosuppression was 0.20 (95% CI: 0.05-0.34; I² = 67%). In the subgroup analyses, anticancer-therapy-associated mortality was higher in females (RD = 0.57; 95% CI: 0.29-0.85; I² = 0%) than in males (RD = 0.28; 95% CI: 0.04-0.52; I² = 0%). Among patients with hematologic malignancies and COVID-19, those receiving anticancer therapy had a higher mortality risk, regardless of sex. The mortality risk was higher in females than in males. These results indicate that caution should be exercised when administering anticancer therapy to patients with hematologic malignancies and COVID-19.

Impact of an Interdisciplinary Goals-of-Care Program Among Medical Inpatients at a Comprehensive Cancer Center During the COVID-19 Pandemic: A Propensity Score Analysis

PURPOSE

Many hospitals have established goals-of-care programs in response to the coronavirus disease 2019 pandemic; however, few have reported their outcomes. We examined the impact of a multicomponent interdisciplinary goals-of-care program on intensive care unit (ICU) mortality and hospital outcomes for medical inpatients with cancer.

METHODS

This single-center study with a quasi-experimental design included consecutive adult patients with cancer admitted to medical units at the MD Anderson Cancer Center, TX, during the 8-month preimplementation (May 1, 2019-December 31, 2019) and postimplementation period (May 1, 2020-December 31, 2020). The primary outcome was ICU mortality. Secondary outcomes included ICU length of stay, hospital mortality, and proportion/timing of care plan documentation. Propensity score weighting was used to adjust for differences in potential covariates, including age, sex, cancer diagnosis, race/ethnicity, and Sequential Organ Failure Assessment score.

RESULTS

This study involved 12,941 hospitalized patients with cancer (pre n = 6,977; post n = 5,964) including 1,365 ICU admissions (pre n = 727; post n = 638). After multicomponent goals-of-care program initiation, we observed a significant reduction in ICU mortality (28.2% v 21.9%; change -6.3%, 95% CI, -9.6 to -3.1; P = .0001). We also observed significant decreases in length of ICU stay (mean change -1.4 days, 95% CI, -2.0 to -0.7; P < .0001) and in-hospital mortality (7% v 6.1%, mean change -0.9%, 95% CI, -1.5 to -0.3; P = .004). The proportion of hospitalized patients with an in-hospital do-not-resuscitate order increased significantly from 14.7% to 19.6% after implementation (odds ratio, 1.4; 95% CI, 1.3 to 1.5; P < .0001), and do-not-resuscitate order was established earlier (mean difference -3.0 days, 95% CI, -3.9 to -2.1; P < .0001).

CONCLUSION

This study showed improvement in hospital outcomes and care plan documentation after implementation of a system-wide, multicomponent goals-of-care intervention.

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.

Impact of COVID-19 on Cancer-Related Care in the United States: An Overview

COVID-19 impacted several health services, including cancer-related care. Its implications were significant due to the lapse in hospital resources, compounded by the delays stemming from the economic effects on patients' jobs and medical coverage. Furthermore, reports suggesting an increased risk for morbidity and mortality from COVID-19 in patients with cancer and those on active cancer treatment caused additional fear and potential delays in seeking medical services. This review provides an overview of the pandemic's impact on cancer care in the United States and suggests measures for tackling similar situations in the future.

COVID-19 Emotional and Mental Impact on Cancer Patients Receiving Radiotherapy: An Interpretation of Potential Explaining Descriptors

Background: Significant changes in the accessibility and viability of health services have been observed during the COVID-19 period, particularly in vulnerable groups such as cancer patients. In this study, we described the impact of radical practice and perceived changes on cancer patients’ mental well-being and investigated potential outcome descriptors. Methods: Generalized anxiety disorder assessment (GAD-7), patient health (PHQ-9), and World Health Organization-five well-being index (WHO-5) questionnaires were used to assess anxiety, depression, and mental well-being. Information on participants, disease baseline information, and COVID-19-related questions were collected, and related explanatory variables were included for statistical analysis. Results: The mean score values for anxiety, depression, and mental well-being were 4.7 ± 5.53, 4.9 ± 6.42, and 72.2 ± 18.53, respectively. GAD-7 and PHQ-9 scores were statistically associated (p < 0.001), while high values of GAD-7 and PHQ-9 questionnaires were related to low values of WHO-5 (p < 0.001).Using the GAD-7 scale, 16.2% of participants were classified as having mild anxiety (GAD-7 score: 5−9).Mild to more severe anxiety was significantly associated with a history of mental health conditions (p = 0.01, OR = 3.74, 95% CI [1.372−10.21]), and stage category (stage III/IV vs. I/II, p = 0.01, OR = 3.83, 95% CI [1.38−10.64]. From the participants, 36.2% were considered to have depression (PHQ-9 score ≥ 5). Depression was related with older patients (p = 0.05, OR = 1.63, 95% CI [1.16−2.3]), those with previous mental health conditions (p = 0.03, OR = 14.24, 95% CI [2.47−81.84]), those concerned about the COVID-19 impact on their cancer treatment (p = 0.027, OR = 0.19, 95% CI [0.045−0.82]) or those who felt that COVID-19 pandemic has affected mental health (p = 0.013, OR = 3.56, 95% CI [1.30−9.72]). Additionally, most participants (86.7%) had a good well-being score (WHO-5 score ≥ 50). Mental well-being seemed more reduced among stage I−III patients than stage IV patients (p = 0.014, OR = 0.12, 95% CI [0.023−0.65]). Conclusion: There is a necessity for comprehensive cancer care improvement. These patients’ main concern related to cancer therapy, yet the group of patients who were mentally affected by the pandemic should be identified and supported.

Machine Learning Techniques to Explore Clinical Presentations of COVID-19 Severity and to Test the Association With Unhealthy Opioid Use: Retrospective Cross-sectional Cohort Study

BACKGROUND

The COVID-19 pandemic has exacerbated health inequities in the United States. People with unhealthy opioid use (UOU) may face disproportionate challenges with COVID-19 precautions, and the pandemic has disrupted access to opioids and UOU treatments. UOU impairs the immunological, cardiovascular, pulmonary, renal, and neurological systems and may increase severity of outcomes for COVID-19.

OBJECTIVE

We applied machine learning techniques to explore clinical presentations of hospitalized patients with UOU and COVID-19 and to test the association between UOU and COVID-19 disease severity.

METHODS

This retrospective, cross-sectional cohort study was conducted based on data from 4110 electronic health record patient encounters at an academic health center in Chicago between January 1, 2020, and December 31, 2020. The inclusion criterion was an unplanned admission of a patient aged ≥18 years; encounters were counted as COVID-19-positive if there was a positive test for COVID-19 or 2 COVID-19 International Classification of Disease, Tenth Revision codes. Using a predefined cutoff with optimal sensitivity and specificity to identify UOU, we ran a machine learning UOU classifier on the data for patients with COVID-19 to estimate the subcohort of patients with UOU. Topic modeling was used to explore and compare the clinical presentations documented for 2 subgroups: encounters with UOU and COVID-19 and those with no UOU and COVID-19. Mixed effects logistic regression accounted for multiple encounters for some patients and tested the association between UOU and COVID-19 outcome severity. Severity was measured with 3 utilization metrics: low-severity unplanned admission, medium-severity unplanned admission and receiving mechanical ventilation, and high-severity unplanned admission with in-hospital death. All models controlled for age, sex, race/ethnicity, insurance status, and BMI.

RESULTS

Topic modeling yielded 10 topics per subgroup and highlighted unique comorbidities associated with UOU and COVID-19 (eg, HIV) and no UOU and COVID-19 (eg, diabetes). In the regression analysis, each incremental increase in the classifier's predicted probability of UOU was associated with 1.16 higher odds of COVID-19 outcome severity (odds ratio 1.16, 95% CI 1.04-1.29; P=.009).

CONCLUSIONS

Among patients hospitalized with COVID-19, UOU is an independent risk factor associated with greater outcome severity, including in-hospital death. Social determinants of health and opioid-related overdose are unique comorbidities in the clinical presentation of the UOU patient subgroup. Additional research is needed on the role of COVID-19 therapeutics and inpatient management of acute COVID-19 pneumonia for patients with UOU. Further research is needed to test associations between expanded evidence-based harm reduction strategies for UOU and vaccination rates, hospitalizations, and risks for overdose and death among people with UOU and COVID-19. Machine learning techniques may offer more exhaustive means for cohort discovery and a novel mixed methods approach to population health.

Effect of social media interventions on the education and communication among patients with cancer: a systematic review protocol

INTRODUCTION

Cancer is a leading cause of death worldwide. In addition, it accounted for approximately 10 million deaths in 2020 alone. Information and communication technologies have great potential for improving health education and communication. Social media is one of the technologies that can help patients with cancer and healthcare providers communicate and provide educational information. Social media are increasingly being used for health promotion and behaviour change. This is a protocol of systematic review to identify the effect of social media interventions on the education and communication among patients affected by cancer. This study aims to reveal the steps of conducting research that systematically reviews all studies for the specific objective. This study aims to examine the social media interventions to improve awareness and knowledge about the disease for patients with cancer and improve communication among them.

METHODS AND ANALYSIS

This protocol is reported in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols checklist. We will include experimental design studies that report the effect of social media interventions on education and communication among patients with cancer or malignancy and any stage of the disease. Interventions will be inclusive, using all social network platforms for patients' communication and education. We will search PubMed, Web of Science, Scopus and the Cochrane Library from inception until 23 May 2022. Two independent reviewers will screen titles, abstracts and full-text articles with conflicts resolved through discussion or by a third reviewer, as needed. All titles, abstracts and full-text papers will be reviewed independently by two reviewers according to the inclusion and exclusion criteria. Discrepancies will resolve by discussion or SRNK if needed. The two reviewers will also independently complete risk of bias assessments for each included study. The descriptive analysis, including frequency and percentage parameters, will be calculated based on the study's variables. Furthermore, we will report the results of the quality assessment of studies in table format. In the result section, a narrative synthesis will be applied to describe and compare the paper's results.

ETHICS AND DISSEMINATION

Ethics approval will not be needed because the data to be used in this systematic review and meta-analysis will be extracted from published studies. It will be disseminated by publication in a peer-reviewed journal.

PROSPERO REGISTRATION NUMBER

CRD42022334691.

Adaptive humoral immune response and cellular immune status in cancer patients and patients under immunosuppression vaccinated against SARS-CoV-2

BACKGROUND

Patients with cancer and autoimmune diseases are at higher risk of severe COVID-19. They may not develop protective immune responses following vaccination. We investigated patients' cellular and humoral immune response after two COVID-19 vaccine doses.

RESEARCH DESIGN AND METHODS

Subjects were stratified into subgroups according to therapy and grade of immunosuppression at time of vaccination.

RESULTS

Antibody titers were compared to healthy controls. 32/122 (26%) did not develop detectable antibody titers. Of these, 22 (66.6%) had active therapy. Patients showed significant lower antibody titers compared to controls (median 790 vs. 3923 AU/mL, p = 0.026). Patients with active therapy had significant lower antibody titers compared to those without (median 302 vs. 3952 U/L P < 0.001). B-cell count was lower in the group without antibody titers (median 29.97 vs. 152.8; p = 0.002). 100% of patients under anti-CD20 therapy had no detectable antibody titer, followed by anti-TNF (66%), BTK inhibitors (50%), ruxolitinib (35.5%), TKI (14.2%), and lenalidomide (12.5%). Anti-CD20 therapy, ruxolitinib, BTK inhibitors, and anti-CD38 therapy presented significant lower antibody titers compared to controls.

CONCLUSIONS

Patients undergoing therapy for cancer or autoimmune diseases are at higher risk of insufficient humoral immune response following COVID-19 vaccination. Furthermore, alterations in the B-cell compartment correlate with lower antibody titers.

Mortality and prognostic factors in hospitalized COVID-19 patients with cancer: an analysis from a large healthcare system in the United States

Background

To evaluate clinical outcomes in patients with malignancy who are SARS-CoV-2 (COVID-19) positive and investigate if factors such as age, gender, and race contribute to COVID-19 mortality in patients with malignancy.

Methods

Retrospective data was gathered from Memorial Healthcare System of COVID-19 patients hospitalized from March 1, 2020 to January 18, 2021. Active malignancy was defined as either receiving antineoplastic therapy or being under surveillance. The primary endpoint was in-hospital mortality. Descriptive statistics were used to summarize the characteristics and outcomes. Univariate and multivariate logistic analysis were performed to define baseline clinical characteristics potentially associated with mortality in cancer patients with COVID-19.

Results

A total of 4,870 COVID-19 patients were enrolled in the study, and 265 of those patients had a diagnosis of active malignancy. The study population was diverse which included non-Hispanic whites (NHW) 816 (16.8%), Hispanics 2,271 (46.6%) and Blacks 1,534 (31.5%). Of the cancer patients, 24.1% were NHW, 43% were Hispanic and 28.7% were Black. Amongst the races, 37.5% of in-hospital mortalities were NHW, while 18.4% were Hispanics and 19.7% were Black. The in-hospital mortalities amongst the two malignancy types, solid and hematological, accounted for 24.6% and 23.5% of deaths and they were not found to be statistically significant (P=0.845). After adjustments for age, gender and race were made, cancer was independently associated with an increased in-hospital mortality, with an adjusted odds ratio of 1.48 [95% confidence interval (CI): 1.08-2.01]. Increased age and elevated serum levels of creatinine and C-reactive protein (CRP) were associated with an increased risk of death in cancer patients with COVID-19.

Conclusions

COVID-19 in patients with cancer had poorer outcomes in comparison to those who were cancer-free. Both hematological and solid malignancies had similar in-hospital mortality rates. The highest in-hospital mortalities of cancer patients with COVID-19 were non-Hispanic whites in-comparison to Hispanics with the least. Age, elevated levels of creatinine and CRP were independently associated with increased risk of death in cancer patients hospitalized with COVID-19. The findings indicate the need for close surveillance and monitoring of these patients as they are more likely to have higher risk of death from COVID-19.

The impact of COVID-19 on the management of neuroendocrine tumors (NETS): An international NET CONNECT survey of NET patients and healthcare professionals treating net patients

The COVID-19 outbreak has added complexity in the management of patients with neuroendocrine tumors (NETs). Little information is currently available regarding the real impact of the pandemic in current practice. The present study aimed to capture patients' and healthcare professionals' experiences on how the NET management has changed during the pandemic and how it should be modified in a foreseeable post-pandemic environment. Physicians and nurses working in ENETS Centers of Excellence or other hospitals with high volume of NET patients (n = 48), as well as NET patients residing worldwide (n = 353), were asked to respond to two online anonymous surveys addressing different aspects of NET care. Deferred diagnoses, delayed surveillance procedures and postponed elective surgeries were among the main negative consequences of the COVID-19 outbreak according to 40%, 54% and 46% of healthcare professionals (HPs) respectively. Somatostatin analogs were increasingly used as bridging strategy for delaying surgery based on the views of 31% of HPs and were self-injected or delivered by home care services more frequently than before the initiation of the pandemic (53% of patients during the pandemic vs. 44% before the pandemic). Multidisciplinary tumor boards kept their usual schedule according to 58% of HPs, but were held virtually in the 77% of cases. The contact with healthcare professionals was maintained by remote methods more often than in the past (69% of patients), but only 34% of patients (59% among subjects < 41 years) would prefer telemedicine to face-to-face consultations in the future. New health policy measures should guarantee the highest standard of treatment to NET patients, regardless of the trajectory followed by the COVID-19 pandemic in the next months. Pros and cons of telemedicine should be carefully weighted before systematic implementation.