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.

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

BACKGROUND: ESMO COVID-19 and CAncer REgistry (ESMO-CoCARE) is an international collaborative registry-based, cohort study gathering real-world data from Europe, Asia/Oceania and Africa on the natural history, management and outcomes of patients with cancer infected with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). PATIENTS AND METHODS: ESMO-CoCARE captures information on patients with solid/haematological malignancies, diagnosed with coronavirus disease 2019 (COVID-19). Data collected since June 2020 include demographics, comorbidities, laboratory measurements, cancer characteristics, COVID-19 clinical features, management and outcome. Parameters influencing COVID-19 severity/recovery were investigated as well as factors associated with overall survival (OS) upon SARS-CoV-2 infection. RESULTS: This analysis includes 1626 patients from 20 countries (87% from 24 European, 7% from 5 North African, 6% from 8 Asian/Oceanian centres), with COVID-19 diagnosis from January 2020 to May 2021. Median age was 64 years, with 52% of female, 57% of cancer stage III/IV and 65% receiving active cancer treatment. Nearly 64% patients required hospitalization due to COVID-19 diagnosis, with 11% receiving intensive care. In multivariable analysis, male sex, older age, Eastern Cooperative Oncology Group (ECOG) performance status ≥2, body mass index (BMI) <25 kg/m2, presence of comorbidities, symptomatic disease, as well as haematological malignancies, active/progressive cancer, neutrophil-to-lymphocyte ratio (NLR) ≥6 and OnCovid Inflammatory Score ≤40 were associated with COVID-19 severity (i.e. severe/moderate disease requiring hospitalization). About 98% of patients with mild COVID-19 recovered, as opposed to 71% with severe/moderate disease. Advanced cancer stage was an additional adverse prognostic factor for recovery. At data cut-off, and with median follow-up of 3 months, the COVID-19-related death rate was 24.5% (297/1212), with 380 deaths recorded in total. Almost all factors associated with COVID-19 severity, except for BMI and NLR, were also predictive of inferior OS, along with smoking and non-Asian ethnicity. CONCLUSIONS: Selected patient and cancer characteristics related to sex, ethnicity, poor fitness, comorbidities, inflammation and active malignancy predict for severe/moderate disease and adverse outcomes from COVID-19 in patients with cancer.

Identifying and preventing burnout in young oncologists, an overwhelming challenge in the COVID-19 era: a study of the Spanish Society of Medical Oncology (SEOM).

BACKGROUND: Young oncologists are at particular risk of professional burnout, and this could have a significant impact on their health and care of their patients. The coronavirus disease 2019 (COVID-19) pandemic has forced rapid changes in professionals' jobs and training, with the consequent physical and psychological effects. We aimed to characterize burnout levels and determinants in young oncologists, and the effects of the pandemic on their training and health. METHODS: Two online surveys were conducted among oncology residents and young oncology specialists in Spain. The first addressed professional burnout and its determinants before the COVID-19 pandemic, while the second analyzed the impact of the pandemic on health care organization, training, and physical and psychological health in the same population. RESULTS: In total, 243 respondents completed the first survey, and 263 the second; 25.1% reported significant levels of professional burnout. Burnout was more common among medical oncology residents (28.2%), mainly in their second year of training. It was significantly associated with a poor work-life balance, inadequate vacation time, and the burnout score. Nearly three-quarters of respondents (72%) were reassigned to COVID-19 care and 84.3% of residents missed part of their training rotations. Overall, 17.2% of this population reported that they had contracted COVID-19, 37.3% had scores indicating anxiety, and 30.4% moderate to severe depression. Almost a quarter of young oncologists (23.3%) had doubts about their medical vocation. CONCLUSIONS: Burnout affects a considerable number of young oncologists. The COVID-19 pandemic has had a profound impact on causes of burnout, making it even more necessary to periodically monitor it to define appropriate detection and prevention strategies.

Incidence of pulmonary embolism in non-critically ill COVID-19 patients. Predicting factors for a challenging diagnosis.

Recent studies suggest that thrombotic complications are a common phenomenon in the novel SARS-CoV-2 infection. The main objective of our study is to assess cumulative incidence of pulmonary embolism (PE) in non critically ill COVID-19 patients and to identify its predicting factors associated to the diagnosis of pulmonary embolism. We retrospectevely reviewed 452 electronic medical records of patients admitted to Internal Medicine Department of a secondary hospital in Madrid during Covid 19 pandemic outbreak. We included 91 patients who underwent a multidetector Computed Tomography pulmonary angiography(CTPA) during conventional hospitalization. The cumulative incidence of PE was assessed ant the clinical, analytical and radiological characteristics were compared between patients with and without PE. PE incidence was 6.4% (29/452 patients). Most patients with a confirmed diagnosed with PE recieved low molecular weight heparin (LMWH): 79.3% (23/29). D-dimer peak was significatly elevated in PE vs non PE patients (14,480 vs 7230 mcg/dL, p = 0.03). In multivariate analysis of patients who underwent a CTPA we found that plasma D-dimer peak was an independen predictor of PE with a best cut off point of > 5000 µg/dl (OR 3.77; IC95% (1.18-12.16), p = 0.03). We found ninefold increased risk of PE patients not suffering from dyslipidemia (OR 9.06; IC95% (1.88-43.60). Predictive value of AUC for ROC is 75.5%. We found a high incidence of PE in non critically ill hospitalized COVID 19 patients despite standard thromboprophylaxis. An increase in D-dimer levels is an independent predictor for PE, with a best cut-off point of > 5000 µg/ dl.

Covid-19 transmission, outcome and associated risk factors in cancer patients at the first month of the pandemic in a Spanish hospital in Madrid.

BACKGROUND: There are no large reported series determining the Covid-19 cancer patient's characteristics. We determine whether differences exist in cumulative incidence and mortality of Covid-19 infection between cancer patients and general population in Madrid. MATERIAL AND METHODS: We reviewed 1069 medical records of all cancer patients admitted at Oncology department between Feb 1 and April 7, 2020. We described Covid-19 cumulative incidence, treatment outcome, mortality, and associated risk factors. RESULTS: We detected 45/1069 Covid-19 diagnoses in cancer patients vs 42,450/6,662,000 in total population (p < 0.00001). Mortality rate: 19/45 cancer patients vs 5586/42,450 (p = 0.0001). Mortality was associated with older median age, adjusted by staging and histology (74 vs 63.5 years old, OR 1.06, p = 0.03). Patients who combined hydroxychloroquine and azithromycin presented 3/18 deaths, regardless of age, staging, histology, cancer treatment and comorbidities (OR 0.02, p = 0.03). CONCLUSION: Cancer patients are vulnerable to Covid-19 with an increase in complications. Combined hydroxychloroquine and azithromycin is presented as a good treatment option.

Immune-related adverse events predict the therapeutic efficacy of anti-PD-1 antibodies in cancer patients.

BACKGROUND: Cancer immune therapy has shown remarkable benefit in the treatment of a range of cancer types, although it may initiate autoimmune-related disorders in some patients. We have attempted to establish whether the incidence of irAEs after the use of anti-PD-1 antibodies nivolumab or pembrolizumab in advanced malignancies is associated with anti-PD-1 treatment efficacy. PATIENTS AND METHODS: We studied patients treated with single-agent nivolumab or pembrolizumab for advanced cancer. irAEs (immune-related adverse events) were identified clinically and graded as per the Common Terminology Criteria for Adverse Events version 4.0. Efficacy was evaluated with objective response rate (ORR, immune-Response Evaluation Criteria in Solid Tumours [RECIST] criteria) progression-free survival (PFS) and overall survival (OS). Tests were performed to determine the association between irAEs and ORR, PFS or OS. RESULTS: We identified 106 patients. Primary diagnoses were lung cancer (n = 77), melanoma (n = 8), head and neck carcinoma (n = 7), renal carcinoma (n = 5), Hodgkin's lymphoma (n = 3), urothelial carcinoma (n = 3) and gallbladder adenocarcinoma, hepatocellular carcinoma and Merkel cell carcinoma (n = 1 each). IrAEs were observed in 40 patients (37.7%). The most frequent irAEs were hypothyroidism (n = 15), nephritis (n = 5) and hyperthyroidism (n = 4). Objective response was observed in 44 patients (41.5%), and median PFS was 5.5 months (0.5-31 months). Thirty-three of the 40 patients with irAEs had objective response (82.5%) in contrast with 11 of the 66 cases without irAEs (16.6%) (OR 23.5, P < 0.000001). PFS in patients with irAEs was 10 months and 3 months in those without irAEs (HR 2.2, P = 0.016). OS in patients with irAEs was 32 months and 22 in those without irAEs, without statistically significant differences. CONCLUSION: In advanced cancer treated with single-agent anti-PD-1 antibodies, patients with irAEs showed a markedly improved efficacy over patients without irAEs (ORR of 82.5% and PFS of 10 months vs ORR of 16.6% and PFS of 3 months). Future studies of anti-PD-1 immune-therapy should address this association to explore the underlying biological mechanisms of efficacy.

Prospective analysis of psychological differences between adult and elderly cancer patients during postoperative adjuvant chemotherapy

Purpose: Despite the burgeoning geriatric population with cancer and the importance of understanding how age may be related to mental adjustment and quality of life so far, differences in coping strategies and psychological harm between the elderly and adults are hardly being taken into account to modify the approach to this population. The aim of this prospective study is to describe the differences in psychological characteristics between older and adult cancer patients and examine dissimilarities in their psychological evolution during adjuvant chemotherapy. Methods: Adults (18-69 years old) and older patients (≥ 70) with newly diagnosed non-metastatic resected cancer admitted to receive adjuvant chemotherapy were recruited. Patients completed the following questionnaires: mini-mental adjustment to cancer, brief symptom inventory, shared decision-making questionnaire-patient’s version, multidimensional scale of perceived social support, EORTC quality-of-life instrument, life orientation test-revised, and satisfaction with life scale. Results: 500 cancer patients (394 adults and 106 older) were evaluated. The impact of the diagnosis was less negative among older patients, with no differences in coping strategies, quality of life, or search for support. Regarding psychological changes from the beginning to the end of the adjuvant treatment, both age groups reported more somatic symptoms, increased psychological difficulty, reduced coping strategies, and a significant decrease in quality of life at the end of postoperative chemotherapy. Conclusion: Although there were clear psychological differences between adults and senior cancer patients, their evolution during adjuvant chemotherapy was similar, with deterioration in quality of life and coping. This negative psychological impact of adjuvant chemotherapy should be taken into account when considering interventions

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Prospective analysis of psychological differences between adult and elderly cancer patients during postoperative adjuvant chemotherapy.

PURPOSE: Despite the burgeoning geriatric population with cancer and the importance of understanding how age may be related to mental adjustment and quality of life so far, differences in coping strategies and psychological harm between the elderly and adults are hardly being taken into account to modify the approach to this population. The aim of this prospective study is to describe the differences in psychological characteristics between older and adult cancer patients and examine dissimilarities in their psychological evolution during adjuvant chemotherapy. METHODS: Adults (18-69 years old) and older patients (≥ 70) with newly diagnosed non-metastatic resected cancer admitted to receive adjuvant chemotherapy were recruited. Patients completed the following questionnaires: mini-mental adjustment to cancer, brief symptom inventory, shared decision-making questionnaire-patient's version, multidimensional scale of perceived social support, EORTC quality-of-life instrument, life orientation test-revised, and satisfaction with life scale. RESULTS: 500 cancer patients (394 adults and 106 older) were evaluated. The impact of the diagnosis was less negative among older patients, with no differences in coping strategies, quality of life, or search for support. Regarding psychological changes from the beginning to the end of the adjuvant treatment, both age groups reported more somatic symptoms, increased psychological difficulty, reduced coping strategies, and a significant decrease in quality of life at the end of postoperative chemotherapy. CONCLUSION: Although there were clear psychological differences between adults and senior cancer patients, their evolution during adjuvant chemotherapy was similar, with deterioration in quality of life and coping. This negative psychological impact of adjuvant chemotherapy should be taken into account when considering interventions.

DNA profiling: a valuable tool for quality control of sample logistics including occurrences of suspected sample confusion in a blood donation centre.

BACKGROUND AND OBJECTIVES: A molecular method for analysing whole-blood samples should be established for quality control of plasma sample logistics. MATERIALS AND METHODS: DNA profiles of retention samples (plasma) were compared to profiles of recent donations (whole blood). DNA extraction, amplification and detection were performed using the Qiagen DNA Blood Mini kit, the AmpFFISTR Profiler Plus Kit and capillary electrophoresis, respectively. RESULTS: Matched pairs of full profiles were obtained for all samples investigated, therefore no deviation from the standardized procedures was detected. CONCLUSIONS: Modified extraction and amplification protocols enabled DNA profiling to be used for the quality control of plasma samples. Hence, DNA profiling can be used in the blood bank as a safe and easy method for quality control of sample logistics.