Do Antiangiogenics Promote Clot Instability? Data from the TESEO Prospective Registry and Caravaggio Clinical Trial.

BACKGROUND: Venous thromboembolism (VTE) is a common complication in cancer patients. Much of its morbidity stems from the development of fatal pulmonary embolisms (PE). Little is known about the factors involved in clot stability, with angiogenesis possibly being implicated. METHODS: The database is from the TESEO prospective registry that recruits cancer patients with VTE from 41 Spanish hospitals. Independent validation was conducted in a cohort from the Caravaggio trial. The objective is to evaluate the association between exposure to antiangiogenic therapies and the PE/VTE proportion in oncological patients. RESULTS: In total, 1,536 subjects were evaluated; 58.4% (n = 894) had a PE and 7% (n = 108) received antiangiogenic therapy (bevacizumab in 75%). The PE/VTE proportion among antiangiogenic-treated individuals was 77/108 (71.3%) versus 817/1,428 (57.2%) among those receiving other alternative therapies (p = 0.004). The effect of the antiangiogenics on the PE/VTE proportion held up across all subgroups except for active smokers or those with chronic obstructive pulmonary disease. Exposure to antiangiogenics was associated with increased PEs, odds ratio (OR) 2.27 (95% CI, 1.42-3.63). In the Caravaggio trial, PE was present in 67% of the individuals treated with antiangiogenics, 50% of those who received chemotherapy without antiangiogenic treatment, and 60% without active therapy (p = 0.0016). CONCLUSION: Antiangiogenics are associated with increased proportion of PE in oncological patients with VTE. If an effect on clot stability is confirmed, the concept of thrombotic risk in cancer patients should be reconsidered in qualitative terms.

Anxiety and depression in patients with advanced cancer during the COVID-19 pandemic.

OBJECTIVE: Cancer patients are at increased risk for psychological difficulties and COVID-19. We sought to analyze anxiety and depression levels during the COVID-19 pandemic and the association between sociodemographic, clinical, and psychological factors in patients with advanced cancer. METHODS: A prospective, multicenter cohort of 401 consecutive patients with newly diagnosed, advanced cancer completed the Brief Symptom Inventory, Michel Uncertainty in Illness Scale, Herth Hope Index, and Cancer Worry Scale between February 2020 and May 2021. Linear regression analyses explored the effects of uncertainty, hopelessness, and cancer worry on anxiety and depression, adjusting for sociodemographic and clinical variables. RESULTS: The incidence of anxiety and depression was 36% and 35%, respectively. Emotional distress was greater among women, patients < 65 years of age, and those with an estimated survival of > 18 months. Linear regression analysis revealed that being female, preoccupation about cancer, and hopelessness were associated with increased levels of anxiety (p < 0.001) and depression (p < 0.001) and younger age was associated with a higher risk of anxiety. No differences in anxiety or depression levels were found in relation to marital status, children, educational level, cancer type, histology, stage, or type of treatment. CONCLUSIONS: Patients with advanced cancer who initiated treatment during the pandemic experienced high levels of depression and anxiety. Early diagnosis and the development of intervention strategies are necessary, especially for specific patient subgroups, such as young women with long survival times.

Psychometric properties of the Spanish version of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30).

PURPOSE: The aim of this study was to analyze the internal structure of the EORTC QLQ-C30, to examine the validity and normative data for cancer patients. METHOD: Exploratory and Confirmatory factor analyses were conducted to explore the scale's dimensionality and test for strong measurement invariance across sex and tumor site. All the analyses were based on a multicenter cohort of 931 patients who completed the Brief Symptom Inventory (BSI-18) and the EORTC QLQ-C30. RESULTS: Our findings indicate that the EORTC QLQ-C30 has acceptable psychometric properties and an internal structure that is well accounted for a bifactor model: a general factor that evaluates quality of life and a group factor that would analyze physical health that would be defined by physical function, role function, and fatigue. The result of the multi-group CFA revealed a strong invariance according to sex, tumor, and over time. Reliability of the EORTC exceeding 0.86 and the simple sum of the items of the scale was a good indicator of oncology patients' quality of life. Both factors correlate closely with depression, anxiety, and psychological distress and are sensitive to change, especially the quality of life, with a significant decrease in the post-test. CONCLUSION: The Spanish version of the EORTC QLQ-C30 proved to be a valid, reliable instrument to appraise quality of life in cancer patients. The normative data collected from this study may be useful for the early detection of initial symptoms of deterioration of quality of life in oncology patients.

COVID-19 mortality in cancer patients in a Madrid hospital during the first 3 weeks of the epidemic.

BACKGROUND AND OBJECTIVE: The Covid-19 pandemic especially affects cancer patients with higher incidence and mortality according to published series of original pandemic foci. The study aims to determine the mortality in our center due to covid-19 in cancer patients during the first 3 weeks of the epidemic. MATERIAL AND METHODS: The cancer patients who died of covid-19 during the analysis period have been reviewed describing the oncological and the covid-19 infection characteristics and the treatments established. RESULTS: Confirmed cases covid-19: 1069 with 132 deaths (12.3%). With cancer 36 patients (3.4%), 15 deceased (41.6%). Of the deceased, only 6 patients (40%) were in active treatment. The most frequent associated tumor was lung (8/15 patients, 53.3%), 11 with metastatic disease (11/15, 73.3%). No specific treatment was established in 40 % (6/15) of the patients. The rest of them received treatments with the active protocols. CONCLUSION: Covid-19 mortality in cancer patients is almost four times higher than that of the general population. Until we have effective treatments or an effective vaccine, the only possibility to protect our patients is to prevent the infection with the appropriate measures.

ANTECEDENTES Y OBJETIVO: La pandemia por Covid-19 afecta especialmente a pacientes con cáncer con mayor incidencia y mortalidad según series publicadas de focos originales de pandemia. El estudio pretende conocer la mortalidad en nuestro centro por covid-19 en pacientes con cáncer durante las primeras 3 semanas de epidemia. MATERIAL Y MÉTODOS: Se han revisado los pacientes con cáncer fallecidos por covid-19 durante el periodo de análisis describiendo las características oncológicas, de la infección por covid-19 y de los tratamientos instaurados. RESULTADOS: Casos confirmados covid-19: 1069 con 132 fallecimientos (12,3%). Con cáncer 36 pacientes (3.4%), 15 fallecidos (41,6%). De los fallecidos solo 6 pacientes (40%) se encontraban en tratamiento activo. El tumor más frecuente asociado fue pulmón (8/15 pacientes, 53,3%), 11 con enfermedad metastásica (11/15, 73,3%). El 40% (6/15) no recibió tratamiento específico contra covid-19, el resto fue tratado con los protocolos activos. CONCLUSIÓN: La mortalidad por covid-19 en pacientes con cáncer casi cuadriplica la de la población general. Hasta disponer de tratamientos eficaces o una vacuna efectiva la única posibilidad de proteger a nuestros pacientes es impedir el contagio con las medidas adecuadas.

[COVID-19 mortality in cancer patients in a Madrid hospital during the first 3 weeks of the epidemic]. / Mortalidad por COVID-19 en pacientes con cáncer en un hospital de Madrid durante las primeras 3 semanas de epidemia.

BACKGROUND AND OBJECTIVE: The covid-19 pandemic especially affects cancer patients with higher incidence and mortality according to published series of original pandemic foci. The study aims to determine the mortality in our center due to covid-19 in cancer patients during the first 3 weeks of the epidemic. MATERIAL AND METHODS: The cancer patients who died of covid-19 during the analysis period have been reviewed describing the oncological and the covid-19 infection characteristics and the treatments established. RESULTS: Confirmed cases covid-19: 1069 with 132 deaths (12.3%). With cancer 36 patients (3.4%), 15 deceased (41.6%). Of the deceased, only 6 patients (40%) were in active treatment. The most frequent associated tumor was lung (8/15 patients, 53.3%), 11 with metastatic disease (11/15, 73.3%). No specific treatment was established in 40% (6/15) of the patients. The rest of them received treatments with the active protocols. CONCLUSION: Covid-19 mortality in cancer patients is almost four times higher than that of the general population. Until we have effective treatments or an effective vaccine, the only possibility to protect our patients is to prevent the infection with the appropriate measures.