A Definitive Prognostication System for Patients With Thoracic Malignancies Diagnosed With Coronavirus Disease 2019: An Update From the TERAVOLT Registry.

INTRODUCTION: Patients with thoracic malignancies are at increased risk for mortality from coronavirus disease 2019 (COVID-19), and a large number of intertwined prognostic variables have been identified so far. METHODS: Capitalizing data from the Thoracic Cancers International COVID-19 Collaboration (TERAVOLT) registry, a global study created with the aim of describing the impact of COVID-19 in patients with thoracic malignancies, we used a clustering approach, a fast-backward step-down selection procedure, and a tree-based model to screen and optimize a broad panel of demographics and clinical COVID-19 and cancer characteristics. RESULTS: As of April 15, 2021, a total of 1491 consecutive eligible patients from 18 countries were included in the analysis. With a mean observation period of 42 days, 361 events were reported with an all-cause case fatality rate of 24.2%. The clustering procedure screened 73 covariates in 13 clusters. A further multivariable logistic regression for the association between clusters and death was performed, resulting in five clusters significantly associated with the outcome. The fast-backward step-down selection procedure then identified the following seven major determinants of death: Eastern Cooperative Oncology Group-performance status (ECOG-PS) (OR = 2.47, 1.87-3.26), neutrophil count (OR = 2.46, 1.76-3.44), serum procalcitonin (OR = 2.37, 1.64-3.43), development of pneumonia (OR = 1.95, 1.48-2.58), C-reactive protein (OR = 1.90, 1.43-2.51), tumor stage at COVID-19 diagnosis (OR = 1.97, 1.46-2.66), and age (OR = 1.71, 1.29-2.26). The receiver operating characteristic analysis for death of the selected model confirmed its diagnostic ability (area under the receiver operating curve = 0.78, 95% confidence interval: 0.75-0.81). The nomogram was able to classify the COVID-19 mortality in an interval ranging from 8% to 90%, and the tree-based model recognized ECOG-PS, neutrophil count, and c-reactive protein as the major determinants of prognosis. CONCLUSIONS: From 73 variables analyzed, seven major determinants of death have been identified. Poor ECOG-PS was found to have the strongest association with poor outcome from COVID-19. With our analysis, we provide clinicians with a definitive prognostication system to help determine the risk of mortality for patients with thoracic malignancies and COVID-19.

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 and lung cancer: A greater fatality rate?

BACKGROUND: Currently there are no reported series determining the Covid-19 infected lung cancer patient´s characteristics and outcome that allow us to clarify strategies to protect our patients. In our study we determine whether exists differences in cumulative incidence and severity of Covid-19 infection between lung cancer patients visiting our Medical Oncology department and the reference population of our center (320,000 people), in the current epicenter of the pandemic in Europe (Madrid, Spain). We also describe clinical and demographic factors associated with poor prognosis and Covid-19 treatment outcomes. PATIENTS AND METHODS: We retrospectively reviewed 1878 medical records of all Covid-19 patients who were admitted at Hospital Universitario Infanta Leonor of Madrid between March 5, 2020 and April 7, 2020, in order to detect cumulative incidence of Covid-19 in lung cancer patients. We also described Covid-19 treatment outcome, mortality and associated risk factors using univariate and multivariate logistic regression analysis. RESULTS: 17/1878 total diagnosis in our center had lung cancer (0.9 %) versus 1878/320,000 of the total reference population (p = 0.09). 9/17 lung cancer patients with Covid-19 diagnosis died (52.3 %) versus 192/1878 Covid-19 patients in our center (p < 0.0001). Dead lung cancer patients were elderly compared to survivors: 72 versus 64.5 years old (p = 0.12). Combined treatment with hydroxychloroquine and azithromycin improves the outcome of Covid-19 in lung cancer patients, detecting only 1/6 deaths between patients under this treatment versus others treatment, with statistical significance in the univariate and multivariate logistic regression (OR 0.04, p = 0.018). CONCLUSIONS: Lung cancer patients have a higher mortality rate than general population. Combined hydroxychloroquine and azithromycin treatment seems like a good treatment option. It is important to try to minimize visits to hospitals (without removing their active treatments) in order to decrease nosocomial transmission.

[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.