BQ.1.1, XBB.1, and XBB.1.5 neutralization after bivalent mRNA COVID-19 booster in patients with cancer.

Ehmsen et al. evaluate the neutralizing capacity to current SARS-CoV-2 variants in patients with cancer before and after receiving the BNT162b2 bivalent mRNA vaccine booster. Bivalent vaccine provides some protection against BQ.1.1 but fails to protect against XBB.1 and XBB.1.5 in patients with cancer.

Establishment of CORONET, COVID-19 Risk in Oncology Evaluation Tool, to Identify Patients With Cancer at Low Versus High Risk of Severe Complications of COVID-19 Disease On Presentation to Hospital.

PURPOSE: Patients with cancer are at increased risk of severe COVID-19 disease, but have heterogeneous presentations and outcomes. Decision-making tools for hospital admission, severity prediction, and increased monitoring for early intervention are critical. We sought to identify features of COVID-19 disease in patients with cancer predicting severe disease and build a decision support online tool, COVID-19 Risk in Oncology Evaluation Tool (CORONET). METHODS: Patients with active cancer (stage I-IV) and laboratory-confirmed COVID-19 disease presenting to hospitals worldwide were included. Discharge (within 24 hours), admission (≥ 24 hours inpatient), oxygen (O2) requirement, and death were combined in a 0-3 point severity scale. Association of features with outcomes were investigated using Lasso regression and Random Forest combined with Shapley Additive Explanations. The CORONET model was then examined in the entire cohort to build an online CORONET decision support tool. Admission and severe disease thresholds were established through pragmatically defined cost functions. Finally, the CORONET model was validated on an external cohort. RESULTS: The model development data set comprised 920 patients, with median age 70 (range 5-99) years, 56% males, 44% females, and 81% solid versus 19% hematologic cancers. In derivation, Random Forest demonstrated superior performance over Lasso with lower mean squared error (0.801 v 0.807) and was selected for development. During validation (n = 282 patients), the performance of CORONET varied depending on the country cohort. CORONET cutoffs for admission and mortality of 1.0 and 2.3 were established. The CORONET decision support tool recommended admission for 95% of patients eventually requiring oxygen and 97% of those who died (94% and 98% in validation, respectively). The specificity for mortality prediction was 92% and 83% in derivation and validation, respectively. Shapley Additive Explanations revealed that National Early Warning Score 2, C-reactive protein, and albumin were the most important features contributing to COVID-19 severity prediction in patients with cancer at time of hospital presentation. CONCLUSION: CORONET, a decision support tool validated in health care systems worldwide, can aid admission decisions and predict COVID-19 severity in patients with cancer.

An International Comparison of Presentation, Outcomes and CORONET Predictive Score Performance in Patients with Cancer Presenting with COVID-19 across Different Pandemic Waves.

Patients with cancer have been shown to have increased risk of COVID-19 severity. We previously built and validated the COVID-19 Risk in Oncology Evaluation Tool (CORONET) to predict the likely severity of COVID-19 in patients with active cancer who present to hospital. We assessed the differences in presentation and outcomes of patients with cancer and COVID-19, depending on the wave of the pandemic. We examined differences in features at presentation and outcomes in patients worldwide, depending on the waves of the pandemic: wave 1 D614G (n = 1430), wave 2 Alpha (n = 475), and wave 4 Omicron variant (n = 63, UK and Spain only). The performance of CORONET was evaluated on 258, 48, and 54 patients for each wave, respectively. We found that mortality rates were reduced in subsequent waves. The majority of patients were vaccinated in wave 4, and 94% were treated with steroids if they required oxygen. The stages of cancer and the median ages of patients significantly differed, but features associated with worse COVID-19 outcomes remained predictive and did not differ between waves. The CORONET tool performed well in all waves, with scores in an area under the curve (AUC) of >0.72. We concluded that patients with cancer who present to hospital with COVID-19 have similar features of severity, which remain discriminatory despite differences in variants and vaccination status. Survival improved following the first wave of the pandemic, which may be associated with vaccination and the increased steroid use in those patients requiring oxygen. The CORONET model demonstrated good performance, independent of the SARS-CoV-2 variants.

COVID-19 severity and mortality in patients with CLL: an update of the international ERIC and Campus CLL study.

Patients with chronic lymphocytic leukemia (CLL) may be more susceptible to Coronavirus disease 2019 (COVID-19) due to age, disease, and treatment-related immunosuppression. We aimed to assess risk factors of outcome and elucidate the impact of CLL-directed treatments on the course of COVID-19. We conducted a retrospective, international study, collectively including 941 patients with CLL and confirmed COVID-19. Data from the beginning of the pandemic until March 16, 2021, were collected from 91 centers. The risk factors of case fatality rate (CFR), disease severity, and overall survival (OS) were investigated. OS analysis was restricted to patients with severe COVID-19 (definition: hospitalization with need of oxygen or admission into an intensive care unit). CFR in patients with severe COVID-19 was 38.4%. OS was inferior for patients in all treatment categories compared to untreated (p < 0.001). Untreated patients had a lower risk of death (HR = 0.54, 95% CI:0.41-0.72). The risk of death was higher for older patients and those suffering from cardiac failure (HR = 1.03, 95% CI:1.02-1.04; HR = 1.79, 95% CI:1.04-3.07, respectively). Age, CLL-directed treatment, and cardiac failure were significant risk factors of OS. Untreated patients had a better chance of survival than those on treatment or recently treated.

Quality of Life in Danish Patients with Multiple Myeloma during the COVID-19 Pandemic

In general, governments and health authorities have taken precautions during the COVID-19 pandemic to reduce the viral spread and protect vulnerable citizens. Patients with multiple myeloma (MM) have an increased risk of being infected with COVID-19 and developing a fatal course due to the related immunodeficiency. We investigated how Danish patients with MM reported their quality of life (QoL) pre-COVID and during COVID, in an ongoing longitudinal QoL survey. The responses given during the first and second wave of the COVID-19 pandemic were pooled, analyzed and compared to the same period the year before. We hypothesized that locking down the society would have caused deteriorated QoL and that patients living alone and those under the age of 65 would be particularly affected by the situation. Surprisingly, our study showed the opposite. Statistically significant and clinically relevant differences were primarily found during the first lock down and represented reduced fatigue, improved role functioning, decreased insomnia and improved physical health summaries in patients below 65 years of age. These results indicate that Danish patients with MM might have felt protected and safe by COVID restrictions. Otherwise, the questionaries used in QoL-MM survey may not have been able to capture the impact of the COVID-19 pandemic. Importantly, this indicates that QoL survey data obtained in clinical studies, in countries with highly developed health-care systems using standard questionnaires during the pandemic, allow room for interpretation without being adjusted for the impacts of the pandemic.

Health-related quality of life of patients with haematologic cancer during COVID-19 and their opinions on telehealth consultations - a Danish single site cross-sectional survey.

INTRODUCTION: During the COVID-19 pandemic, high-risk patient groups might have practiced social distancing and sheltering, and hospitals may have changed or postponed treatments and examinations. We aimed to explore health-related quality of life (QoL) in patients with haematological diseases during the early phase of the pandemic and their acceptability of using telehealth. PATIENTS AND METHODS: We performed a cross-sectional survey among patients at the Department of Haematology, Odense University Hospital, Denmark. Eligible participants were patients receiving either active treatment or survivors in a follow-up program. The survey was open from 22 May to 13 June 2020. The survey contained questions on concerns and the impact of COVID-19 and acceptability on telehealth in addition to the assessment of health-related QoL. The later was assessed by the European Organisation for Research and Treatment of Cancer core QoL (EORTC QLQ-C30) questionnaire with the subdomains Global QoL, emotional functioning (EF) and social functioning (SF) being of primary interest. Further, anxiety during COVID-19 was assessed by use of an adapted version of the generalised anxiety disorder (GAD-7) questionnaire. RESULTS: 4420 patients were eligible to participate. The response rate was 53% (n = 2239) of which 37% where in a treatment program and 63% where in a follow-up program. The majority (80%) of patients were concerned about contracting COVID-19. The global QoL score (69.0, ±SD 22.6) was markedly lower than EF (84.5, ±SD 18.9) and SF (85.0, ±SD 23.4). Regression analysis showed that being concerned (a little, moderately, very, extremely) about contracting COVID-19 correlated with lower scores of global QoL (-3.86 to -22.76), EF (-3.81 to -26.41) and SF (-1.14 to -22.49). The GAD-7 score showed that approximately 20% of patients had symptoms of COVID-19 associated generalised anxiety. Finally, 67% of the patients were positive towards replacing face-to-face consultancies with phone calls, but video consultations were less preferred (47%). CONCLUSION: Danish patients with haematological cancer presented with low global QoL during the early phase of COVID-19, and 20% of the patients showed symptoms of generalised anxiety. Patients were overall positive towards the implementation of telehealth consultancies.

Clinical presentation and mortality in hospitalized patients aged 80+ years with COVID-19-A retrospective cohort study.

BACKGROUND: COVID-19, caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), has great health implications in older patients, including high mortality. In general, older patients often have atypical symptom presentations during acute illness due to a high level of comorbidity. The purpose of this study was to investigate the presentation of symptoms at hospital admissions in older patients with COVID-19 and evaluate its impact on disease outcome. METHODS: This retrospective study included patients ≥80 years of age with a positive test for SARS-CoV-2, who were admitted to one of three medical departments in Denmark from March 1st to June 1st, 2020. RESULTS: A total of 102 patients (47% male) with a mean age of 85 years were included. The most common symptoms at admission were fever (74%), cough (62%), and shortness of breath (54%). Furthermore, atypical symptoms like confusion (29%), difficulty walking (13%), and falls (8%) were also present. In-hospital and 30-day mortality were 31% (n = 32) and 41% (n = 42), respectively. Mortality was highest in patients with confusion (50% vs 38%) or falls (63% vs 39%), and nursing home residency prior to hospital admission was associated with higher mortality (OR 2.7, 95% CI 1.1-6.7). CONCLUSIONS: Older patients with SARS-Cov-2 displayed classical symptoms of COVID-19 but also geriatric frailty symptoms such as confusion and walking impairments. Additionally, both in-hospital and 30-day mortality was very high. Our study highlights the need for preventive efforts to keep older people from getting COVID-19 and increased awareness of frailty among those with COVID-19.

SARS-CoV-2 infection among patients with haematological disorders: Severity and one-month outcome in 66 Danish patients in a nationwide cohort study.

OBJECTIVES: Patients with haematological disorders may be particularly vulnerable to respiratory syndrome coronavirus 2 (SARS-CoV-2) infection; however, this is unknown. METHODS: We conducted a prospective, nationwide study including 66 patients in follow-up at Danish haematology departments with a malignant or non-malignant haematological disorder and with verified SARS-CoV-2 infection. Outcomes were intensive care unit (ICU) admission and one-month survival rate. RESULTS: Mean age was 66.7 years, 60.6% were males, 90.9% had comorbidity, and 13.6% had a BMI ≥ 30. The most frequent diagnoses were chronic lymphocytic leukaemia/lymphoma (47.0%), multiple myeloma (16.7%) and acute leukaemia/myelodysplastic syndrome (AL/MDS) (12.1%). Treatment for the haematological disease was ongoing in 59.1% of cases. Neutropenia was present in 6.5%, lymphopenia in 46.6% and hypogammaglobulinaemia in 26.3%. The SARS-CoV-2 infection was mild in 50.0%, severe in 36.4% and critical in 13.6%. After one month, 21.2% had been admitted to ICU, and 24.2% died. Mortality was highest in older patients, patients with severe/critical SARS-CoV-2 infection, high comorbidity score or high performance status score, purine analogue treatment and with AL/MDS. Although older patients and patients with comorbidities had the highest mortality rates, mortality was considerable among all haematological patients. CONCLUSION: Haematological patients with SARS-CoV-2 infection has a severe clinical course.