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1.
ESMO Open ; : 100499, 2022.
Article in English | ScienceDirect | ID: covidwho-1821235

ABSTRACT

Background 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 SARS-CoV-2. Methods ESMO-CoCARE captures information on patients with solid/haematological malignancies, diagnosed with COVID-19. Data collected since 06/2020 include demographics, co-morbidities, 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 Northern African, 6% from 8 Asian/Oceanian centers), with COVID-19 diagnosis from January 2020 up to May 2021. Median age was 64 years, with 52% female, 57% cancer stage III/IV and 65% receiving active cancer treatment. 64% patients required hospitalization due to COVID-19 diagnosis, with 11% receiving intensive care. In multivariable analysis, male gender, older age, ECOG PS≥2, BMI<25, presence of co-morbidities, symptomatic disease, as well as haematological malignancies , active/progressive cancer , neutrophil-lymphocyte ratio ≥ 6 and OnCovid inflammatory score (OIS) ≤ 40 were associated with COVID-19 severity (i.e., severe/moderate disease requiring hospitalization). 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 gender, ethnicity, poor fitness, comorbidities, inflammation, and active malignancy predict for severe/moderate disease and adverse outcomes from COVID-19 in patients with cancer.

2.
J Thorac Oncol ; 2022 Jan 24.
Article in English | MEDLINE | ID: covidwho-1665237

ABSTRACT

BACKGROUND: Patients with thoracic malignancies are at increased risk for mortality from Coronavirus disease 2019 (COVID-19) and large number of intertwined prognostic variables have been identified so far. METHODS: Capitalizing data from the 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, clinical COVID-19 and cancer characteristics. RESULTS: As of April 15, 2021, 1491 consecutive evaluable 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 approximately 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 then identified seven major determinants of death 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 (CRP) (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 ROC analysis for death of the selected model confirmed its diagnostic ability (AUC 0.78; 95%CI: 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 CRP as the major determinants of prognosis. CONCLUSION: From 73 variables analyzed, seven major determinants of death have been identified. Poor ECOG-PS demonstrated 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.

3.
JAMA Oncol ; 7(12): 1882-1890, 2021 12 01.
Article in English | MEDLINE | ID: covidwho-1391526

ABSTRACT

Importance: The COVID-19 pandemic has had consequences for patients with cancer worldwide and has been associated with delays in diagnosis, interruption of treatment and follow-up care, and increases in overall infection rates and premature mortality. Observations: Despite the challenges experienced during the pandemic, the global oncology community has responded with an unprecedented level of investigation, collaboration, and technological innovation through the rapid development of COVID-19 registries that have allowed an increased understanding of the natural history, risk factors, and outcomes of patients with cancer who are diagnosed with COVID-19. This review describes 14 major registries comprising more than 28 500 patients with cancer and COVID-19; these ongoing registry efforts have provided an improved understanding of the impact and outcomes of COVID-19 among patients with cancer. Conclusions and Relevance: An initiative is needed to promote active collaboration between different registries to improve the quality and consistency of information. Well-designed prospective and randomized clinical trials are needed to collect high-level evidence to guide long-term epidemiologic, behavioral, and clinical decision-making for this and future pandemics.


Subject(s)
COVID-19 , Neoplasms , Pandemics , Registries , COVID-19/epidemiology , COVID-19/therapy , Humans , Neoplasms/epidemiology , Neoplasms/therapy
4.
Cancer Cell ; 38(5): 602-604, 2020 11 09.
Article in English | MEDLINE | ID: covidwho-970849

ABSTRACT

To understand the real impact of COVID-19 on cancer patients, an entirely new data collection effort was initiated within the Thoracic Cancers International COVID-19 Collaboration (TERAVOLT). TERAVOLT reported high mortality related to COVID-19 infection in thoracic cancer patients and identified several negative prognostic factors. In this commentary, we discuss the importance and limits of patient registries to support decision-making in thoracic cancer during the SARS-CoV-2 pandemic.


Subject(s)
Betacoronavirus/isolation & purification , Clinical Decision-Making , Coronavirus Infections/complications , Global Burden of Disease/standards , Pneumonia, Viral/complications , Practice Guidelines as Topic/standards , Thoracic Neoplasms/therapy , COVID-19 , Coronavirus Infections/virology , Humans , International Cooperation , Pandemics , Pneumonia, Viral/virology , Registries , SARS-CoV-2 , Thoracic Neoplasms/epidemiology , Thoracic Neoplasms/virology
6.
Cancer Cell ; 37(6): 742-745, 2020 06 08.
Article in English | MEDLINE | ID: covidwho-628515

ABSTRACT

Prior publications on small subsets of cancer patients infected with SARS CoV-2 have shown an increased risk of mortality compared to the general population. Furthermore, patients with thoracic malignancies are thought to be at particularly high risk given their older age, smoking habits, and pre-existing cardio-pulmonary comorbidities. For this reason, physicians around the world have formed TERAVOLT, a global consortium dedicated to understanding the impact of COVID-19 on patients with thoracic malignancies.


Subject(s)
Betacoronavirus/isolation & purification , Coronavirus Infections/therapy , Medical Oncology/organization & administration , Pneumonia, Viral/therapy , Registries , Thoracic Neoplasms/therapy , Betacoronavirus/pathogenicity , COVID-19 , Coronavirus Infections/complications , Coronavirus Infections/epidemiology , Coronavirus Infections/virology , Global Burden of Disease , Humans , International Cooperation , Intersectoral Collaboration , Medical Oncology/standards , Pandemics , Pneumonia, Viral/complications , Pneumonia, Viral/epidemiology , Pneumonia, Viral/virology , Practice Guidelines as Topic , SARS-CoV-2 , Thoracic Neoplasms/complications , Thoracic Neoplasms/mortality
7.
Lancet Oncol ; 21(7): 914-922, 2020 07.
Article in English | MEDLINE | ID: covidwho-597772

ABSTRACT

BACKGROUND: Early reports on patients with cancer and COVID-19 have suggested a high mortality rate compared with the general population. Patients with thoracic malignancies are thought to be particularly susceptible to COVID-19 given their older age, smoking habits, and pre-existing cardiopulmonary comorbidities, in addition to cancer treatments. We aimed to study the effect of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection on patients with thoracic malignancies. METHODS: The Thoracic Cancers International COVID-19 Collaboration (TERAVOLT) registry is a multicentre observational study composed of a cross-sectional component and a longitudinal cohort component. Eligibility criteria were the presence of any thoracic cancer (non-small-cell lung cancer [NSCLC], small-cell lung cancer, mesothelioma, thymic epithelial tumours, and other pulmonary neuroendocrine neoplasms) and a COVID-19 diagnosis, either laboratory confirmed with RT-PCR, suspected with symptoms and contacts, or radiologically suspected cases with lung imaging features consistent with COVID-19 pneumonia and symptoms. Patients of any age, sex, histology, or stage were considered eligible, including those in active treatment and clinical follow-up. Clinical data were extracted from medical records of consecutive patients from Jan 1, 2020, and will be collected until the end of pandemic declared by WHO. Data on demographics, oncological history and comorbidities, COVID-19 diagnosis, and course of illness and clinical outcomes were collected. Associations between demographic or clinical characteristics and outcomes were measured with odds ratios (ORs) with 95% CIs using univariable and multivariable logistic regression, with sex, age, smoking status, hypertension, and chronic obstructive pulmonary disease included in multivariable analysis. This is a preliminary analysis of the first 200 patients. The registry continues to accept new sites and patient data. FINDINGS: Between March 26 and April 12, 2020, 200 patients with COVID-19 and thoracic cancers from eight countries were identified and included in the TERAVOLT registry; median age was 68·0 years (61·8-75·0) and the majority had an Eastern Cooperative Oncology Group performance status of 0-1 (142 [72%] of 196 patients), were current or former smokers (159 [81%] of 196), had non-small-cell lung cancer (151 [76%] of 200), and were on therapy at the time of COVID-19 diagnosis (147 [74%] of 199), with 112 (57%) of 197 on first-line treatment. 152 (76%) patients were hospitalised and 66 (33%) died. 13 (10%) of 134 patients who met criteria for ICU admission were admitted to ICU; the remaining 121 were hospitalised, but were not admitted to ICU. Univariable analyses revealed that being older than 65 years (OR 1·88, 95% 1·00-3·62), being a current or former smoker (4·24, 1·70-12·95), receiving treatment with chemotherapy alone (2·54, 1·09-6·11), and the presence of any comorbidities (2·65, 1·09-7·46) were associated with increased risk of death. However, in multivariable analysis, only smoking history (OR 3·18, 95% CI 1·11-9·06) was associated with increased risk of death. INTERPRETATION: With an ongoing global pandemic of COVID-19, our data suggest high mortality and low admission to intensive care in patients with thoracic cancer. Whether mortality could be reduced with treatment in intensive care remains to be determined. With improved cancer therapeutic options, access to intensive care should be discussed in a multidisciplinary setting based on cancer specific mortality and patients' preference. FUNDING: None.


Subject(s)
Coronavirus Infections/epidemiology , Pneumonia, Viral/epidemiology , Registries/statistics & numerical data , Thoracic Neoplasms/epidemiology , Aged , Betacoronavirus , COVID-19 , Cause of Death , Coronavirus Infections/mortality , Coronavirus Infections/pathology , Cross-Sectional Studies , Female , Hospitalization/statistics & numerical data , Humans , Longitudinal Studies , Male , Middle Aged , Pandemics , Pneumonia, Viral/mortality , Pneumonia, Viral/pathology , Risk Factors , SARS-CoV-2 , Thoracic Neoplasms/mortality , Thoracic Neoplasms/pathology , Thoracic Neoplasms/therapy
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