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.

Immune checkpoint inhibitor therapy and outcomes from SARS-CoV-2 infection in patients with cancer: A joint analysis of OnCovid and ESMO-CoCARE registries

Background: As management and prevention strategies against Coronavirus Disease-19 (COVID-19) evolve, it is still uncertain whether prior exposure to immune checkpoint inhibitors (ICIs) affects COVID-19 severity in patients (pts) with cancer. Method(s): In a joint analysis of ICI recipients from OnCovid (NCT04393974) and ESMO CoCARE registries, we assessed severity and mortality from SARS-CoV-2 in vaccinated and unvaccinated pts with cancer and explored whether prior immune-related adverse events (irAEs) influenced outcome from COVID-19. Result(s): The study population consisted of 240 pts diagnosed with COVID-19 between Jan 2020 and Feb 2022 exposed to ICI within 3 months prior to COVID-19 diagnosis, with a 30-day case fatality rate (CFR30) of 23.6% (95%CI: 17.8-30.7%). 42 (17.5%) were fully vaccinated prior to COVID-19 and experienced decreased CFR30 (4.8% vs 28.1%, p=0.001), hospitalization rate (27.5% vs 63.2%, p<0.001), requirement of oxygen therapy (15.8% vs 41.5%, p=0.003), COVID-19 complication rate (11.9% vs 34.6%, p=0.004), and COVID-19-specific therapy (26.3% vs 57.9%, p=0.001) compared with unvaccinated pts. IPTW-fitted multivariable analysis, following a clustered-robust correction for the data source (OnCovid vs ESMO CoCARE), confirmed that vaccinated pts experienced a decreased risk of death at 30 days (aOR 0.08, 95%CI: 0.01-0.69). 38 pts (15.8%) experienced at least 1 irAE of any grade at any time prior to COVID-19, at a median time of 3.2 months (0.13-48.7) from COVID-19 diagnosis. IrAEs occurred independently of baseline characteristics except for primary tumour (p=0.037) and were associated with a significantly decreased CFR30 (10.8% vs 26.0%, p=0.0462) additionally confirmed by the IPTW-fitted multivariable analysis (aOR: 0.47, 95%CI: 0.33-0.67). Pts who experienced irAEs also presented a higher median absolute lymphocyte count at COVID-19 (1.4 vs 0.8 109 cells/L, p=0.009). Conclusion(s): Anti-SARS-CoV-2 vaccination reduces morbidity and mortality from COVID-19 in ICI recipients. History of irAEs might identify pts with pre-existing protection from COVID-19, warranting further investigation of adaptive immune determinants of protection from SARS-CoV-2. Clinical trial identification: NCT04393974 OnCovid. Legal entity responsible for the study: Imperial College London & ESMO. Funding(s): Imperial Biomedical Research Centre ESMO. Disclosure: A. Cortellini: Financial Interests, Personal, Advisory Board: MSD, OncoC4;Financial Interests, Personal, Invited Speaker: Eisai, AstraZeneca;Financial Interests, Personal, Expert Testimony: Iqvia. D.J. Pinato: Financial Interests, Personal, Invited Speaker: ViiV Healthcare, Bayer, BMS, Roche, Eisai, Falk Foundation;Financial Interests, Personal, Advisory Board: Mina Therapuetics, Eisai, Roche, DaVolterra, AstraZeneca. All other authors have declared no conflicts of interest. Copyright © 2022 European Society for Medical Oncology

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.

Analysing risk factors for thrombosis in COVID-19 and cancer patients

Background : Cancer patients are at increased risk of thrombosis due to multiple factors. Millions of cases of SARS-CoV-2 infection have been detected worldwide and there is multiple evidence of its association with arterial and venous thrombosis.At present, we do not know if Covid-19 adds an increased thrombotic risk to cancer patients. Aims : The aim of our study is to analyze the incidence and risk factors of thrombosis in oncological patients with Covid-19. Methods : We retrospectively reviewed 86 patients with active cancer and Covid-19 admitted to the general ward oh the Hospital Infanta Leonor (Madrid) between March 5th, 2020 to May 3th, 2020. Study data were collected and managed using REDCap electronic data capture tool. Results : We diagnosed 10 thrombotic events in 8 oncological patients with a cumulative incidence of 9.3%. A statistically significant association were found regarding thrombosis and history of obesity ( P = 0.009). Atrend towards significance were detected regarding a previous history of chronic kidney disease¡ were we detected 2 patients in the thrombosis cohort (25%) versus only 6 patients of the 78 (7.6%) without thrombosis ( P = 0.108). No statistically significant differences were found in tumor stage, history of hypertension, acute coronary sindrome, heart disease, history of chronic obstructive pulmonary disease, diabetes, dyslipemia and smoking. Conclusions : In patients with covid-19 and cancer, a statistically significant difference was found for the history of obesity being a classic factor predictor of the development of thrombotic events in our patients. The prothrombotic effect of Covid-19 infection does not seem to be as evident in cancer patients, probably due to the high mortality in this population group before developing thrombosis. More studies are needed to assess the impact of covid 19 in this population.

COVID-CANCER HUIL - Registry of oncological patients with diagnosis of COVID-19 at Hospital Universitario Infanta Leonor in Madrid (Spain): One year of pandemic

Background: During the first year of the SARS-CoV-2 pandemic the management and treatment of COVID-19 have been improved. However, cancer patients continue to be one of the most affected. We evaluate the mortality rate due to COVID-19 and associated risk factors in the cancer population diagnosed in our center during the first year of pandemic. Methods: We retrospectively reviewed the medical records of 189 cancer patients who were diagnosed with COVID-19 between March 5, 2020 and February 28, 2021. Mortality rate nd associated risk factors were studied. Results: Mortality rate: 55/189 patients. Mean age: 72 years (34-95), 125/189 male patients. Predominant histologies: lung cancer (72/189), colorectal (31/189), breast (24/189). Predominant staging: metastatic disease (113/189). Predominant cancer treatment: chemotherapy (63/189);118/189 patients were receiving any type of oncological treatment with palliative intention. Mortality was associated with male gender (45/55 vs 10/55, p=0.004), presence of comorbidities (48/55 vs 7/55, p=0.01), lung cancer (28/72 deaths with this tumor vs 27/117 with the rest, p=0.02), palliative intention cancer treatment (41/55 vs 12/55, p=0.02), older median age (76 vs 71, p = 0.02), higher median CRP (p=115.6 mg/dl vs 46 mg/dl), lower median lymphocytes (600/mm3 vs 1000/mm3 p<0.001). No specific treatment against COVID-19 significantly decreased mortality. Neither IL-6 nor ferritin were prognostic biomarkers. In multivariate analysis, male gender (OR 2.58, 95% CI 1.1-5.9, p = 0.02), lung cancer (OR 2.0, CI 1.0-3.8, p = 0.03), cancer treatment with palliative intention (OR 2.4, CI 1.07-5.3, p = 0.03), higher median CRP (OR 1.0, CI 1.00-1.01, p <0.001), as well as low lymphocyte median (OR 0.5, CI 0.25-1.0, p = 0.56), continued to be evidenced as risk factors, regardless of comorbidities, staging, sex, and palliative intention cancer-specific treatment, among other variables. Conclusions: Men with lung cancer under cancer-specific treatment with palliative intention who present, at the diagnosis of SARS-CoV-2 infection with elevated CRP above 115 mg/dl and a decrease in lymphocytes below 600/mm3 have a higher risk of presenting fatal complications. Legal entity responsible for the study: Medical Oncology department, Hospital Universitario Infanta Leonor. Funding: Has not received any funding. Disclosure: All authors have declared no conflicts of interest.

First wave mortality data versus full pandemic period from the COVID-CANCER HUIL study

Background: Cancer patients are one of the most affected by the current pandemic caused by SARS-CoV-2. Social inequalities influence the incidence rate of this disease, as we have seen in the high incidence in our center. In our study, we asked whether the last covid-19 treatment advances, the capacity for restructuring the health centers and their non-saturation, influences the cancer patients outcomes. Methods: Retrospective review of 189 cancer patients diagnosed in our center with COVID-19 from March 5, 2020 to February 28, 2021. Study data was collected and managed using REDCap. We compared COVID-19 diagnoses in first-wave cancer patients versus the full pandemic period until data cut-off, as well as patient characteristics and mortality rates. Results: Mortality rate: 55/189 patients during the entire pandemic period vs 40/85 patients in the first wave (p = 0.03). Median age: 72 years (34-95) vs 76 (34-94), 125/189 men in all the period vs 50/85 (p = 0.2). Most frequent histologies: lung cancer (72/189 vs 22/85, p = 0.07), colorectal (31/189 vs 19/85, p = 0.23), breast (24/189 vs 10/85, p = 0.82). Staging: 113/189 metastatic disease at diagnosis of infection vs 32/85 in first wave (p <0.001). During the 2 subsequent waves in our center, where 104 more patients have been detected, mortality has dropped significantly: from the initial 47% to 14.4% in the rest of the period (40/85 vs 15/104, p <0.001), despite having more metastatic involvement in infected patients. Conclusions: In our center, one of the worst hit by the coronavirus crisis in Spain, with a supersaturation of almost 250% in the middle of the first wave, we have verified how the knowledge of the behavior of this disease, improvements in its treatment and a multidisciplinary management in Oncology ward have led to a significant decrease in mortality, going from almost 50% in the first wave to less than 15%, despite having suffered the disease during the two subsequent waves a greater number of patients with metastatic disease. Legal entity responsible for the study: Medical Oncology Department, Hospital Universitario Infanta Leonor. Funding: Has not received any funding. Disclosure: All authors have declared no conflicts of interest.

COVID-19 and cancer: First report of the ESMO international, registry-based, cohort study (ESMO CoCARE)

Background: At the height of the first wave of the SARS-COV-2 pandemic, ESMO mobilized to accelerate research for the understanding of COVID-19 in cancer patients (pts). ESMO CoCARE is an international collaborative registry-based, cohort study, gathering real-world data and information from healthcare professionals about the natural history, treatment and outcomes of COVID-19 in cancer pts. Methods: ESMO CoCARE captures information on pts with any solid or hematologic malignancy (including cancer survivors free of disease for ≥5 years) presenting with a COVID-19 diagnosis in any of the participating centers. Data collected since 06/2020 include demographics, cancer characteristics and status, co-morbidities, COVID-19 clinical features, course, management and outcome. Factors influencing COVID-19 severity (hospitalization +/- ICU support needed) and recovery are investigated using multivariable logistic regression with backward elimination method. The study is ongoing. Results: The current analysis includes 1551 registered pts (19 countries;87% pts from 23 European centers, 7% and 6% pts from 5 Northern African and 7 Asian centers), with COVID-19 diagnosis as of 11/03/2021. Median age was 64 years, with the majority female (52%), cancer stage III/IV (58%), and on active cancer treatment (60%). 65% had severe COVID-19 requiring hospitalization, with 11% receiving intensive care. In multivariable analysis, in addition to demographics (male gender, older age, other ethnicity than Caucasian, lower BMI), co-morbidities and symptomatic COVID-19, severe disease was associated to higher ECOG PS (Odds Ratio (OR)2 vs 0=5.9, OR1 vs 0=2.1), hematological malignancies (OR hemvs solid =2.0), and active/progressive cancer status (OR progressivevs no evidence of disease =1.6). 98% of pts with mild disease recovered, as opposed to only 70% of those with severe disease. Cancer stage was an additional prognostic factor for recovery (ORI/II vs IV =3.4). Conclusions: Demographic characteristics, type and status of cancer, and symptomatology of COVID-19 increase the probability of severe disease, while advanced cancer stage is also associated with the risk of death. Legal entity responsible for the study: Institut Curie, Paris, France. Funding: ESMO - European Society for Medical Oncology. Disclosure: E. Romano: Financial Interests, Institutional, Funding, Investigator-initiated trial: AstraZeneca;Financial Interests, Institutional, Funding, Investigator-initiated trial: BMS;Financial Interests, Personal, Advisory Board: AstraZeneca;Financial Interests, Personal, Advisory Board: Merck;Financial Interests, Personal, Invited Speaker: Roche;Financial Interests, Personal, Invited Speaker: Pierre Fabre. R. Lee: Financial Interests, Personal, Invited Speaker: AstraZeneca;Financial Interests, Institutional, Funding: BMS. A. Croitoru: Financial Interests, Personal, Advisory Role: Ipsen;Financial Interests, Personal, Advisory Role: Astellas;Financial Interests, Personal and Institutional, Funding: Bristol-Myers Squibb;Financial Interests, Personal and Institutional, Funding: Merck;Financial Interests, Personal and Institutional, Funding: Astellas;Financial Interests, Personal and Institutional, Funding: Servier;Financial Interests, Personal and Institutional, Funding: Five Prime Therapeutics;Financial Interests, Personal and Institutional, Funding: Amgen;Financial Interests, Personal, Other, Travel funding: Merck;Financial Interests, Personal, Other, travel funding: Servier;Financial Interests, Personal, Other, travel funding: Roche. S. Susnjar: Financial Interests, Personal, Other, Honoraria and/or advisory fees: Roche;Financial Interests, Personal, Other, Honoraria and/or advisory fees: Pfizer;Financial Interests, Personal, Other, Honoraria and/or advisory fees: Novartis;Financial Interests, Personal, Other, Honoraria and/or advisory fees: AstraZeneca;Financial Interests, Personal, Other, Honoraria and/or advisory fees: Amicus. M. Rossi: Financial Interests, Personal, Other, travel and personal fees: Novartis;Financial terests, Personal, Other, travel and personal fees: Ipsen. O.A. Michielin: Financial Interests, Personal, Other, personal fees: Bristol-Myers Squibb;Financial Interests, Personal, Other, personal fees: MSD;Financial Interests, Personal, Other, personal fees: Novartis;Financial Interests, Personal, Other, personal fees: Roche;Financial Interests, Personal, Other, personal fees: Amgen;Financial Interests, Personal, Other, personal fees: NeraCare GmbH. G. Pentheroudakis: Financial Interests, Personal, Advisory Board: Amgen;Financial Interests, Personal, Advisory Board: AstraZeneca;Financial Interests, Personal, Advisory Board: Bristol Myers Squibb;Financial Interests, Personal, Advisory Board: Lilly;Financial Interests, Personal, Advisory Board: Merck;Financial Interests, Personal, Advisory Board: MSD;Financial Interests, Personal, Advisory Board: Roche;Financial Interests, Institutional, Principal Investigator: AbbVie;Financial Interests, Institutional, Research Grant: Amgen;Financial Interests, Institutional, Principal Investigator, Coordinating PI: Amgen;Financial Interests, Institutional, Research Grant: AstraZeneca;Financial Interests, Institutional, Principal Investigator: AstraZeneca;Financial Interests, Institutional, Research Grant: Boehringer Ingelheim;Financial Interests, Institutional, Funding: Boehringer Ingelheim;Financial Interests, Institutional, Funding: Bristol Myers Squibb;Financial Interests, Institutional, Principal Investigator: Bristol Myers Squibb;Financial Interests, Institutional, Principal Investigator: Debbiopharm;Financial Interests, Institutional, Funding: Enorasis;Financial Interests, Institutional, Funding: Genekor;Financial Interests, Institutional, Funding: Ipsen;Financial Interests, Institutional, Principal Investigator: Ipsen;Financial Interests, Institutional, Funding: Janssen;Financial Interests, Institutional, Principal Investigator: Lilly;Financial Interests, Institutional, Funding: Merck;Financial Interests, Institutional, Principal Investigator: Merck;Financial Interests, Institutional, Funding: MSD;Financial Interests, Institutional, Principal Investigator: MSD;Financial Interests, Institutional, Funding: Pfizer;Financial Interests, Institutional, Principal Investigator: Roche;Financial Interests, Institutional, Research Grant: Roche;Financial Interests, Institutional, Funding: Sanofi;Financial Interests, Institutional, Principal Investigator, Coodinating Pi: Servier;Financial Interests, Institutional, Funding: Servier. S. Peters: Consultation / Advisory role: AbbVie, Amgen, AstraZeneca, Bayer, Beigene, Biocartis, Bio Invent, Blueprint Medicines, Boehringer Ingelheim, Bristol-Myers Squibb, Clovis, Daiichi Sankyo, Debiopharm, Eli Lilly, Elsevier, F. Hoffmann-La Roche/Genentech, Foundation Medicine, Illumina, Incyte, IQVIA, Janssen, Medscape, Merck Sharp and Dohme, Merck Serono, Merrimack, Mirati, Novartis, PharmaMar, Phosplatin Therapeutics, Pfizer, Regeneron, Sanofi, Seattle Genetics, Takeda, Vaccibody. Talk in a company’s organized public event: AstraZeneca, Boehringer Ingelheim, Bristol-Myers Squibb, e-cancer, Eli Lilly, F. Hoffmann-La Roche/Genentech, Illumina, Medscape, Merck Sharp and Dohme, Novartis, PER, Pfizer, Prime, RTP, Sanofi, Takeda. Receipt of grants/research supports: (Sub)investigator in trials (institutional financial support for clinical trials) sponsored by Amgen, AstraZeneca, Biodesix, Boehringer Ingelheim, Bristol-Myers Squibb, Clovis, F. Hoffmann-La Roche/Genentech, GSK, Illumina, Lilly, Merck Sharp and Dohme, Merck Serono, Mirati, Novartis, and Pfizer, Phosplatin Therapeutics. All other authors have declared no conflicts of interest.

1494P Anxiety and depression during the COVID-19 pandemic in newly diagnosed advanced cancer patients

Background: Cancer patients are at high risk of psychological problems and COVID-19 infection, which makes them even more vulnerable to mood disorders. Our objectives were to analyze the level of anxiety and depression among patients with advanced cancer during the COVID-19 pandemic and to analyze the association between sociodemographic, clinical, and psychological factors in patients with advanced cancer. Methods: A prospective, cross-sectional, multicenter study was conducted in 15 oncology departments in Spain. Patients with locally advanced unresectable or metastatic cancer who were candidates for systemic treatment were included. Patients completed demographic information and the Brief Symptom Inventory (BSI), Michel´s Uncertainty in Illness Scale (MUIS), Mental Adjustment to Cancer (MAC), and Cancer Worry Scale (CWS). Results: A total of 374 patients were recruited (April 2020-2021). The mean age was 64.2 years (34-88) and 48.7% were women. The most frequent were lung (30.7%) and colon (14.2%) cancers and most had metastases (78.6%). The most frequent therapy was chemotherapy (57.9%). The prevalence of anxiety and depression was 35% and 34%, respectively. Anxiety and depression levels were higher in women (p=0.001 and p=0.003, respectively). Patients <65 years (p=0.017) and with an oncologist-estimated survival of >18 months (p=0.033) had more anxiety symptoms. Logistic regression analysis revealed that women, patients with coping based on anxious preoccupation and hopelessness had higher risk of anxiety and depression (all, p<0.001). Conclusions: Patients with advanced cancer who start treatment during the COVID-19 pandemic experience high levels of depression and anxiety. Early diagnosis and the development of intervention strategies are needed especially in specific patient subgroups such as young women with long survival estimated times. Legal entity responsible for the study: The authors. Funding: This work was funded by FSEOM (Spanish Society of Medical Oncology Foundation). Disclosure: B. Obispo: Financial Interests, Personal, Invited Speaker: Lilly;Financial Interests, Personal, Invited Speaker: Sanofi;Financial Interests, Personal, Invited Speaker: Fresenius;Financial Interests, Personal, Invited Speaker: Rovi. R. Hernandez: Financial Interests, Personal, Advisory Role: Amgen;Financial Interests, Personal, Invited Speaker: Servier;Financial Interests, Personal, Invited Speaker: Lilly;Financial Interests, Personal, Invited Speaker: Roche;Financial Interests, Personal, Invited Speaker: Merck;Financial Interests, Personal, Invited Speaker: Ipsen. P. Cruz: Financial Interests, Personal, Invited Speaker: Bristol;Financial Interests, Personal, Advisory Board: Boehringer Ingelheim. A. Fernandez Montes: Financial Interests, Personal, Advisory Role: BMS;Financial Interests, Personal, Advisory Role: MSD;Financial Interests, Personal, Invited Speaker: MSD;Financial Interests, Personal, Invited Speaker: Servier;Financial Interests, Personal, Invited Speaker: Lilly;Financial Interests, Personal, Advisory Role: Lilly;Financial Interests, Personal, Advisory Role: AstraZeneca;Financial Interests, Personal, Invited Speaker: Pierre Fabre;Financial Interests, Personal, Invited Speaker: Merck. N. Piera Molons: Financial Interests, Personal, Invited Speaker: Grunenthal;Financial Interests, Personal, Invited Speaker: Kyowa Hakko Kirin;Financial Interests, Personal, Expert Testimony: Ordesa. V. Pacheco-Barcia: Financial Interests, Personal, Invited Speaker: Eisai;Financial Interests, Personal, Invited Speaker: Merck;Financial Interests, Personal, Invited Speaker: Bristol-Myers Squibb;Financial Interests, Personal, Invited Speaker: MSD;Financial Interests, Personal, Invited Speaker: Leo Pharma;Financial Interests, Personal, Invited Speaker: Kiowa Hakko Kyrin;Financial Interests, Personal, Invited Speaker: Grunenthal;Financial Interests, Personal, Invited Speaker: Prostakan;Financial Interests, Personal, Invited Speaker: Lilly. M.H. López de Ceballos: Financial Interests, Personal, Invited Speak r: Roche;Financial Interests, Personal, Invited Speaker: Eisai;Financial Interests, Personal, Invited Speaker: Novartis;Financial Interests, Personal, Invited Speaker: AstraZeneca. M. Antoñanzas Basa: Financial Interests, Personal, Other, Personal fees: AstraZeneca;Financial Interests, Personal, Other, Personal fees and no financial support: Novartis;Financial Interests, Personal, Other, Personal fees: Pierre Fabre;Financial Interests, Personal, Other, Personal fees and non-financial support: MSD;Financial Interests, Personal, Other, Personal fees and non-financial support: Sanofi;Financial Interests, Personal, Other, Personal fees: Pfizer. D. Lorente: Financial Interests, Personal, Invited Speaker, Advisory, travel fees: Janssen;Financial Interests, Personal, Invited Speaker, Advisory, travel fees: Sanofi;Financial Interests, Personal, Invited Speaker: Bayer;Financial Interests, Personal, Invited Speaker, Advisory, travel fees: Astellas;Financial Interests, Personal, Invited Speaker, Consultancy, travel fees: BMS;Financial Interests, Personal, Invited Speaker, Advisory: AstraZeneca;Financial Interests, Personal, Invited Speaker, Travel fees: Pfizer. A. Manzano Fernández: Financial Interests, Personal, Invited Speaker: Roche;Financial Interests, Personal, Invited Speaker: MSD;Financial Interests, Personal, Invited Speaker: Leo Pharma;Financial Interests, Personal, Invited Speaker: Sanofi;Financial Interests, Personal, Invited Speaker: AstraZeneca;Financial Interests, Personal, Invited Speaker: Rovi;Financial Interests, Personal, Invited Speaker: Pharmamar;Financial Interests, Personal, Advisory Board: Grunenthal;Financial Interests, Personal, Advisory Board: AstraZeneca. S. Hernando Polo: Financial Interests, Personal, Invited Speaker, Advisory role: Pfizer;Financial Interests, Personal, Advisory Board: GlaxoSmithKline;Financial Interests, Personal, Advisory Board: Clovis;Financial Interests, Personal, Advisory Board: Pharmamar;Financial Interests, Personal, Invited Speaker, Advisory role: AstraZeneca. M. Gonzalez Moya: Financial Interests, Personal, Invited Speaker: Bristol;Financial Interests, Personal, Invited Speaker: MSD;Financial Interests, Personal, Invited Speaker: Sanofi;Financial Interests, Personal, Invited Speaker: Boehringer Ingelheim;Financial Interests, Personal, Invited Speaker: Roche;Financial Interests, Personal, Invited Speaker: Merck. All other authors have declared no conflicts of interest.

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.

Thoracic cancers international COVID-19 collaboration (TERAVOLT): Small-cell lung cancer andother rare thoracic malignancies

Background: At the last update of the TERAVOLT registry, patients with thoracic malignancies and COVID-19showed a high mortality rate (35.5% overall and 31% due to COVID-19) compared to the general population and toother solid tumors. Major determinants of mortality were age, Eastern Cooperative Oncology Group PerformanceStatus (ECOG-PS), and previous administration of chemotherapy. No cancer-specific data are available with respectto small-cell lung cancer (SCLC) and other rare thoracic malignancies. Methods: TERAVOLT is an international, multicenter observational registry launched to collect data on patients withthoracic malignancies diagnosed with COVID-19 infection. Risk factors for hospitalization and mortality wereidentified by Wilcoxon rank sum tests (continuous variables) or χ2 tests (categorical variables). Here we present thesubgroup analyses of SCLC and other rare thoracic malignancies, including malignant pleural mesothelioma (MPM), thymic carcinoma/thymoma, and carcinoid/neuroendocrine lung tumors. Results: As of June 4th, 2020, a total of 581 patients with COVID-19 and thoracic cancers have been entered;among them, 66 (11%) were SCLC, 22 (4%) were MPM, 18 (3%) were thymic carcinoma/thymoma, 12 (2%) werecarcinoid/neuroendocrine lung tumors, and 442 (76%) NSCLC;21 were an unknown type. Among SCLC patients,54% were > 65 years old, 56% were males, 98% were current/former smokers, 31% had an ECOG-PS ≥ 2, 67%had stage IV disease, 82% were on current oncologic treatment at the COVID-19 diagnosis, and 58% werereceiving chemotherapy alone or in combination with immune checkpoint inhibitors. Among other non-NSCLCpatients, 56% were > 65 years old, 56% were males, 69% were current/former smokers, 24% had an ECOG-PS ≥ 2,50% had stage IV disease, 52% were on current oncologic treatment at the COVID-19 diagnosis, and 37% werereceiving chemotherapy alone or in combination with immune checkpoint inhibitors. Overall, 79.7% of the patientsrequired hospitalization, 15.4% were admitted to an ICU, and 39.8% died (36.2% due to COVID-19). Among SCLCpatients, 74.2% required hospitalization, 14.3% were admitted to an ICU, and 42.2% died (37.5% due to COVID-19).Among SCLC patients, age > 65 years old (p=0.81), gender (p=0.71), smoking status (p=1.0), ECOG-PS ≥2(p=0.17), disease stage of IV (p=0.37), and having received chemotherapy alone or with checkpoint inhibitors(p=0.84) were not associated with mortality. Conclusions: This analysis confirmed that patients with thoracic malignancies have a high mortality and risk forhospitalization due to COVID-19 overall. SCLC patients showed the highest mortality rate among thoracic cancerpatients.

COVID-CANCER HUIL STUDY:Registry of oncologic patients diagnosed with Covid-19 inInfanta Leonor University Hospital in Madrid, Spain

Background: Covid-19 has been shown to present more complications in immunosuppressed patients. Wedetermine whether differences exist in Covid-19-related mortality between cancer patients and general population inour hospital, and we also describe associated risk factors. Methods: We reviewed 2,216 medical records of all patients admitted to hospitalization in Infanta Leonor UniversityHospital in Madrid, Spain, with Covid-19 diagnosis between 5 March and 13 May, 2020. Study data were collectedand managed using REDCap electronic data capture tools. We described Covid-19 cumulative incidence in cancerpatients, treatment outcome, mortality, and associated risk factors. Results: We detected 85/2,216 cancer patients between all Covid-19 diagnoses. Mortality rate: 40/85 cancerpatients vs. 260/2,131 in general ward (p<0.001). Median age: 76 years old (34-94), 50/85 male patients. Mostfrequent histologies were lung cancer (22/85), colorectal cancer (19/85), prostate cancer (15/85), and breast cancer(10/85). Most frequent staging was metastatic disease (32/85). Only 2/85 patients were admitted to ICU. Mortality was associated with older median age (79.5 vs. 73, p=0.03), high d dimer levels (1630 vs. 830, p=0.03), high LDHlevels (315.5 vs. 224, p=0.003), bilateral pneumonia (24/42 vs. 5/22 with unilateral pneumonia, p=0.02), ARDS(12/13 vs. 28/72 without ARDS, p<0.0001), and metastatic disease (20/32 metastatic vs. 20/53 non-metastaticpatients, p=0.02). Differences were maintained in multivariate analyses regarding ARDS (OR 23.7, p=0.007) andmetastatic disease (OR 2.5, p=0.05). Conclusions: Covid-19 had a significant mortality in cancer patients. High D dimer and LDH levels and ARDSdevelopment in elderly metastatic patients carry an elevated risk of death in cancer patients diagnosed with Covid-19. However, only 2/85 patients were admitted to ICU and these data were decisive. It is a priority to createmeasures to avoid Covid-19 transmission in oncologic patients.

COVID-19 and lung cancer: What do we know?

Background: Currently we still have limited information on how COVID-19 infection has affected lung cancer patients. In our study, we analysed whether there are differences in terms of mortality from COVID-19 between patients diagnosed with lung cancer and the overall population within our hospital health area (320,000 people). We have also studied the most frequent characteristics of lung cancer patients who develop infection with COVID-19, and we have analysed possible factors of poor prognosis, as well as treatment outcome. Methods: We performed a retrospective review of a total of 2216 patients admitted to Hospital Universitario Infanta Leonor in Madrid between March 5 and May 13, 2020 to identify the cumulative incidence of COVID-19 in patients with lung cancer and make a description of the characteristics of these patients, treatment outcome, risk factors for poor prognosis and mortality. We performed uni and multivariate logistic regression. Results: 22/2216 of the total number of patients diagnosed with COVID-19 in our hospital had lung cancer (0.99%). 12/22 lung cancer patients with a COVID-19 diagnosis died (54.5%) vs 300/2216 COVID-19 patients in our hospital (p<0.0001). Lung cancer patients who died had a median age of 72 years (range of 49-84 years). Infection with COVID-19 in lung cancer patients was more frequent in men (72.73%). 18/22 (81.81%) had locally advanced or metastatic tumours. We observed a trend towards higher mortality among patients with hypertension than among non-hypertensive patients (10/15 vs 2/7;P=0.095). We found higher mortality among patients who developed acute respiratory distress syndrome (ARDS) than among those who did not (4/4 vs 8/12;P=0.044). There seems to be a trend towards lower mortality among patients who received treatment with the combination of hydroxychloroquine and azithromycin than among those who did not (6/14 vs 6/8;P=0.145). Conclusions: Lung cancer patients who became infected with COVID-19 have higher mortality than the general population. It is more frequent among men and the development of ARDS results in a worse prognosis with higher mortality. Although treatment with azithromycin and hydroxychloroquine appears to be a good treatment option, we must wait until we have more data on the safety of the combination and results in larger patient series. Legal entity responsible for the study: The authors. Funding: Has not received any funding. Disclosure: All authors have declared no conflicts of interest.

Is cancer what determines COVID-19 oncological patient's outcome or are other external factors involved? Experience in a hospital in Madrid, Spain

Background: There are no large reported series determining the outcome of cancer patients with COVID-19. We aimed to determine whether differences exist in COVID-19 related mortality between cancer patients and the general population in our hospital, and we also describe associated risk factors. Methods: We reviewed 2216 medical records of all patients admitted to hospital with COVID-19 diagnosis between 5 March and 13 May 2020. Study data were collected using REDCap electronic data capture tools. We described COVID-19 cumulative incidence in cancer patients, treatment outcome, mortality and associated risk factors. Results: We detected 85/2216 cancer patients in all COVID-19 diagnoses. Mortality rate: 40/85 cancer patients vs 260/2131 patients in the general ward (P<0.001). Median age: 76 years old (34-94), 50/85 male patients. Most frequent histologies: lung cancer (22/85), colorectal cancer (19/85) and prostate cancer (15/85). Most frequent staging: metastatic disease (32/85). Only 2/85 patients were admitted to ICU. Mortality was associated with older median age (79.5 vs 73, P=0.03), high d dimer levels (1630 vs 830, P=0.03), high LDH levels (315.5 vs 224, P=0.003), bilateral pneumonia (24/42 vs 5/22 with unilateral pneumonia, P=0.02), acute respiratory distress syndrome (ARDS) (12/13 vs 28/72 without ARDS, P<0.0001) and metastatic disease (20/32 metastatic vs 20/53 non-metastatic, P=0.02). Differences were maintained in multivariate analyses regarding ARDS (OR 23.7, P=0.007) and metastatic disease (OR 2.5, P=0.05). Combined treatment with hydroxychloroquine and azithromycin showed a better outcome in uni and multivariate analyses with only 21/61 dead patients (OR 0.13, P=0.005), adjusted by sex, histology, staging, ARDS and comorbidities. Conclusions: COVID-19 had significant mortality in cancer patients. High D dimer and LDH levels and ARDS development in elderly metastatic patients carry an elevated risk of death in cancer patients diagnosed with COVID-19. However, only 2/85 patients were admitted to ICU and this data was decisive. Combined hydroxychloroquine and azithromycin could be a good treatment option in COVID-19 cancer patients. It is a priority to create measures to avoid COVID-19 transmission in oncological patients. Legal entity responsible for the study: Medical Oncology Department, HU Infanta Leonor. Funding: Has not received any funding. Disclosure: All authors have declared no conflicts of interest.

Do breast cancer patients with COVID-19 have a poor prognosis? Experience in a hospital in Madrid

Background: Small case series of patients with active cancer and coronavirus infection have been described since the beginning of the pandemic. The patients most affected by this infection are those with lung cancer but it also affects other types of cancer such as breast cancer. We described the characteristics of patients with breast cancer and COVID 19, their associated risk factors, treatment and evolution. Methods: We reviewed 2216 medical records of all patients admitted to hospitalization with COVID-19 diagnosis between 5 March and 13 May 2020. Study data were collected and managed using RedCap electronic data capture tools. We described breast cancer patients, associated risk factors, mortality and outcome. Results: We detected 85/2216patients cancer with a mortality rate 47% (40/85). Of all cancer patients, 11% (10/85) had breast cancer. Median age breast cancer patients was 70.5 years old (35-86). Most frecuent staging was locally advanced (50 %, 5/10) and most of them were on hormone therapy (50%, 5/10). As associated risk factors, 20% (2/10) had heart disease, 50% (5/10) had hypertension, 20 (2/10) were obese, 30% (3/10) had diabetes, 40% (4/10) had dyslipemia and only 10% (1/10) was smoker. Half the patients 50% (5/10) had bilateral pneumonia, none of them were admitted to the ICU and 20% (2/10) died. All patients were treated with the combination of azithromycin and hydroxychloroquine and 40% (4/10) with lopinavir/ritonavir. Mortality was associate with high LDH levels (1529 vs. 264 U/L, p=0,0002), high PCR levels (159.15 vs. 29 mg/L, p=0.0140), ARDS (1/1 vs. 1/9 without ARDS p=0.035). A posible relation has been found with history of hypertension (2/5 vs. 0/5 without hypertension, p=0.114) and bilateral pneumonia (2/5 vs. 0/5, p= 0.114). Conclusions: COVID 19 appears to have lower mortality in breast cancer patients than in other tumor types. High LDH and PCR levels and ARDS could be related with increased risk of death. Combined treatment in these patients with azithromycin and hydroxychloroquine might be a good option. Legal entity responsible for the study: The authors. Funding: Has not received any funding. Disclosure: All authors have declared no conflicts of interest.

Defining COVID-19 outcomes in thoracic cancer patients: TERAVOLT (Thoracic cancERs international coVid 19 cOLlaboraTion)

Background: Patients with thoracic malignancies may have increased risk for COVID-19 mortality. This risk may be attributable to age, comorbidities, smoking history, pulmonary disease burden and cancer-directed therapies. Methods: TERAVOLT is a global consortium examining outcomes and assessing risk factors associated with mortality of patients with thoracic malignancies and COVID-19 infection. Results: As of July 15, 2020, 1012 patients from 20 countries have been entered;median age was 68 with 58 % male, 80% current/former smokers, most common comorbidities of HTN (49%) & COPD (26%);82% NSCLC, 68 % patients with stage IV disease at COVID diagnosis, 65% on treatment (38% chemotherapy, 26% immune checkpoint inhibitor (ICI), 16 % targeted tyrosine kinase inhibitor (TKI). Of these, 72% were hospitalized;56% of patients developed complications, most frequently pneumonia (40%) and 47% who did not have prior oxygen therapy required it. 32% of patients died during their COVID-19 infection. Only 33 % of patients continued their oncology treatment after infection. Patients presenting with pneumonia (OR 2.7 2-3.5), consolidation (OR 2 CI 1,5-2,8), bilateral lung abnormalities (OR 2,8 CI 2-3,9) and pleural effusion (OR 2,7 CI 1,8-4) were at increased risk of mortality. In multivariate analysis age ≥ 65 (OR 1,53 CI 1,11-2,1), active smoking (OR 2 CI 1,3-3), higher stage of cancer (OR 1,9 CI 1,3-2,7), ECOG PS ≥2 (OR 3,7 CI 2,7-5), steroids prior to COVID diagnosis (OR 1,8 CI 1,2-2,7), were associated with increased risk of death, while chemotherapy and TKI therapy use were not and interestingly patients on immunotherapy appeared to be at decreased risk for mortality (OR 0,6 CI 0,5-0,97). Conclusions: Facing this ongoing global pandemic, TERAVOLT is the largest thoracic malignancy database confirming the high risk for COVID-19 mortality in this specific patient group. Physicians need to evaluate the risk of mortality from COVID-19 based on age, smoking status, stage of cancer, performance status, need for steroids and specific therapy in order to determine the appropriateness for cancer therapy and tailor patient care taking into account patients’ wishes and status of pandemic in the country. Legal entity responsible for the study: The authors. Funding: Has not received any funding. Disclosure: J. Baena Espinar: Advisory/Consultancy: AstraZeneca;Honoraria (self), Travel/Accommodation/Expenses: Angelini. F.R. Hirsch: Advisory/Consultancy: AstraZeneca;Advisory/Consultancy: BMS;Advisory/Consultancy: Merck;Advisory/Consultancy: Daiichi;Advisory/Consultancy: Genentech/Roche;Advisory/Consultancy: Lilly/Loxo;Advisory/Consultancy: Boehringer-Ingelheim. M. Tiseo: Honoraria (self), Speaker Bureau/Expert testimony, Research grant/Funding (institution): AstraZeneca;Advisory/Consultancy, Research grant/Funding (institution): Boehringer Ingelheim;Advisory/Consultancy: Novartis;Advisory/Consultancy: MSD;Advisory/Consultancy: BMS;Advisory/Consultancy: Takeda. E. Felip: Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: AbbVie;Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: AstraZeneca;Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: Blue Print Medicines;Advisory/Consultancy, Advisory role or speaker's bureau: Boehringer Ingelheim;Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: Bristol-Myers Squibb;Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: GSK;Advisory/Consultancy, Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: Eli Lilly;Advisory/Consultancy, Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: Guardant Health;Advisory/Consultancy, Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: Janssen;Advisory/Consultancy, Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: Medscape;Advisory/Consultancy, Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: Merck KGaA;Advisory/Consultancy, Speaker Bureau/Expert testimony, Advisory role or Spea er's bureau: Merck Sharp and Dohme;Advisory/Consultancy, Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: Novartis;Advisory/Consultancy, Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: Pfizer;Advisory/Consultancy, Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: prIME Oncology;Advisory/Consultancy, Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: Roche;Advisory/Consultancy, Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: Samsung;Advisory/Consultancy, Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: Springer;Advisory/Consultancy, Speaker Bureau/Expert testimony, Advisory role or Speaker's bureau: Takeda;Advisory/Consultancy, Advisory role or Speaker's bureau: Touchime;Research grant/Funding (self), Research Funding: Fundacion Merck Salud;Research grant/Funding (institution), Research Funding: Grant for Oncology Innovation;Full/Part-time employment, Board (Independent Member: Grifols Boards. H.A. Wakelee: Research grant/Funding (institution), Clinical Research grant: Gilead;Honoraria (self), Advisory/ Consultancy, advisor or consultant honoraria: AstraZeneca;Advisory/Consultancy, Research grant/Funding (institution), advisor or consultant, research: Xcovery;Advisory/Consultancy, advisor or consultant: Jassen;Advisory/Consultancy, advisor or consultant: Daiichi Sankyo, INC;Advisory/Consultancy, advisor or consultant: Helsinn;Advisory/Consultancy, advisor or consultant: Mirati;Advisory/Consultancy, advisor or consultant (not: Takeda;Advisory/Consultancy, advisor or consultant (not: Cellworks;Advisory/Consultancy, Research grant/Funding (institution), advisor or consultant (not: Genentech/Roche;Advisory/Consultancy, Research grant/Funding (institution), advisor or consultant (not: Merck;Travel/Accommodation/Expenses, CME presentation (travel funding): Clinical care options oncology, LLC;Travel/Accommodation/Expenses, CME presentation (travel funding): Fishawack facilitate LTD;Travel/Accommodation/Expenses, CME presentation (travel funding): Medscape;Travel/Accommodation/Expenses, CME presentation (travel funding): Onclive/intellisphere LLC;Travel/Accommodation/Expenses, CME presentation (travel funding): Philips Gillmore Oncology 2018;Travel/Accommodation/Expenses, CME presentation (travel funding): Physician education resource, LLC/MJH;Travel/Accommodation/Expenses, CME presentation (travel funding): Potomac center for medical education;Travel/Accommodation/Expenses, CME presentation (travel funding): Prime Oncology LLC (2018);Travel/Accommodation/Expenses, CME presentation (travel funding): Primo (2018);Travel/Accommodation/Expenses, CME presentation (travel funding): Research to practice;Travel/Accommodation/Expenses, CME presentation (travel funding): UpToDate;Travel/Accommodation/Expenses, CME presentation (travel funding): WebMdHealth;Honoraria (self), Research grant/Funding (institution), honoraria, research funding to: Novartis;Travel/Accommodation/Expenses, International professional society: RGCON- Rajiv gand conference;Travel/Accommodation/Expenses, International professional society: JLCS - japanese lung cancer society;Travel/Accommodation/Expenses, International professional society: KSMO - korean society of medical oncology;Full/Part-time employment, professor of medicine: Stanford university;Travel/Accommodation/Expenses, Scientific advisory committe - travel: ITMIG;Research grant/Funding (institution), research funding to institution: ACEA biosciences. M.C. Garassino: Honoraria (self): Boehringer Ingelheim;Honoraria (self), Local PI, Enrollment in clinical Trials in: Otsuka Pharma;Honoraria (self), Research grant/Funding (institution), PI, Enrollment and Steering: AstraZeneca;Honoraria (self), Research grant/Funding (institution), PI, Enrollment in clinical Trials in: Novartis;Honoraria (self), Research grant/Funding (institution), PI, Enrollment in clinical Trials in: BMS;Honoraria (self), Research grant/Funding (institution), PI, Enrollment in clinic l Trials in: Roche;Honoraria (self), Research grant/Funding (institution), PI, MISP in Thimic malignancies: Pfizer;Honoraria (self), Research grant/Funding (institution), PI, Enrollment in clinical Trials in: Celgene;Research grant/Funding (institution): Incyte;Research grant/Funding (institution): Inivata;Research grant/Funding (self): Takeda;Honoraria (self), PI, Enrollment in clinical Trials Thimic: Tiziana Sciences;Honoraria (self), PI, Enrollment in clinical Trials in: Clovis;Honoraria (self), PI, Enrollment in clinical Trials in: Merck Serono;Honoraria (self), Research grant/Funding (self), PI, Enrollment in clinical Trials in: Bayer;Honoraria (self), Research grant/Funding (institution), PI, Enrollment in clinical Trials in: MSD;Honoraria (self), Local PI, Enrollment and Steering: GlaxoSmithKline S.p.A.;Research grant/Funding (institution): Sanofi-Aventis;Honoraria (self), PI, Enrollment in clinical Trials: Spectrum Pharmaceutcials;Honoraria (self), PI, Enrollment in clinical Trials: Blueprint Medicine;Research grant/Funding (institution): Seattle Genetics;Research grant/Funding (institution): Daiichi Sankyo;Honoraria (self), PI, MISP in Thimic malignancies: Eli Lilly. S. Peters: Honoraria (self), Advisory/Consultancy, Advisory board + honorarium: AbbVie;Honoraria (self), Advisory/Consultancy, Advisory board + honorarium: Amgen;Honoraria (self), Advisory/Consultancy, Advisory board + honorarium: AstraZeneca;Honoraria (self), Advisory/Consultancy, Advisory board + honorarium: Bayer;Honoraria (self), Advisory/Consultancy, Advisory board + honorarium: Biocartis;Honoraria (self), Advisory/Consultancy, Advisory board + honorarium: Boehringer-Ingelheim;Honoraria (self), Advisory/Consultancy, Advisory board + honorarium: Bistrol-Myers Squibb;Honoraria (self), Advisory/Consultancy, Advisory board + honorarium:Clovis;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: Daiichi Sankyo;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: Debiopharm;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: Eli Lilly;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: F. Hoffmann-La Roche;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: Foundation Medicine;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: Illumina;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: Janssen;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: Merck Sharp and Dohme;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: Merck Serono;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: Merrimack;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: Novartis;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: Pharma Mar;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: Pfizer;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: Regeneron;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: Sanofi;Honoraria (self), Advisory/Consultancy, Advisory Board + honorarium: Seattle Genetics and Takeda;Honoraria (self), Speaker Bureau/Expert testimony, Talk + honorarium: AstraZeneca;Honoraria (self), Speaker Bureau/Expert testimony, Talk + honorarium: Boehringer-Ingelheim;Honoraria (self), Speaker Bureau/Expert testimony, Talk + honorarium: Bristol-Myers Squibb;Honoraria (self), Speaker Bureau/Expert testimony, Talk + honorarium: Eli Lilly;Honoraria (self), Speaker Bureau/Expert testimony, Talk + honorarium: F. Hoffmann-La Roche;Honoraria (self), Speaker Bureau/Expert testimony, Talk + honorarium: Merck Sharp and Dohme. L. Horn: Advisory/Consultancy, Consulting: AstraZeneca;Advisory/Consultancy, Consulting: Genentech-Roche;Advisory/Consultancy, Consulting: Incyte;Advisory/Consultancy, Consulting: Merck;Advisory/Consultancy, Consulting: Pfizer;Advisory/Consultancy, Research grant/Funding (self), Travel/Accommodation/Expenses, Consulting and travel to meeting: Xcovery;dvisory/Consultancy, Consulting: EMD Serono;Advisory/Consultancy, Consulting: Tesaro;Advisory/Consultancy, Consulting: AbbVie;Research grant/Funding (self): Boehringer Ingelheim;Research grant/Funding (self), Travel/Accommodation/Expenses, Honorarium: BMS;Honoraria (self), Honorarium: Medscape;Honoraria (self), Honorarium: PER;Honoraria (self), Honorarium: Research to Practice;Honoraria (self), Honorarium: OncLive;Advisory/Consultancy, Consulting: Amgen;Advisory/Consultancy, Consulting: Bayer. All other authors have declared no conflicts of interest.

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.