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1.
Melanoma Res ; 31(5): 490-493, 2021 10 01.
Article in English | MEDLINE | ID: covidwho-1371755

ABSTRACT

COVID-19 vaccination has been rapidly implemented among patients with cancer. We present the case of a patient with high-risk resected cutaneous melanoma, who was a candidate for adjuvant treatment, with postsurgery 18-fluorodeoxyglucose (FDG) PET/computed tomography (CT) scan showing positive axillary lymph nodes after COVID-19 vaccination. This report presents a 50-year-old man with a history of stage IIA cutaneous melanoma. During follow-up, the patient experienced subcutaneous and lymph-node disease progression, documented with 18FDG PET/CT scan. The patient underwent laparoscopic left para-aortic lymphadenectomy and excision of subcutaneous lesion. Histologic examination showed presence of melanoma metastases in 2 lymph nodes out of total 17 excised and neoplastic emboli to the subcutaneous tissue. In view of starting adjuvant nivolumab, the patient underwent CT scan restaging, with evidence of suspect centimetric periaortic and paracaval lymph nodes, which were deemed worthy of 18FDG PET investigation. The 18FDG PET/CT was negative for abdominal hypercaptation, but showed left axillary pathologic lymph nodes. The medical history of the patient revealed that he had received intramuscular Moderna COVID-19 mRNA vaccine in the left deltoid, one week before 18FDG PET examination. Since the patient's clinical examination was negative and suspecting postvaccination false-positive adenopathy, bilateral axillary ultrasound was performed, excluding the presence of pathologic lymph nodes. The patient has started adjuvant treatment with nivolumab, which is currently ongoing. This case demonstrates unexpected findings in response to COVID-19 vaccination in a patient with melanoma. In this specific case, the detection of 18FDG PET hypercaptation could significantly change the patient's management. With growing evidence about the pattern and occurrence of adenopathies after mRNA COVID-19 vaccination, recommendations for scheduling and interpretation of 18FDG PET/CT scans among cancer patients will be implemented, in order to reduce equivocal findings and improve outcomes.


Subject(s)
COVID-19 Vaccines/adverse effects , Lymph Nodes/pathology , Melanoma/pathology , COVID-19 Vaccines/administration & dosage , Disease Progression , Humans , Lymph Nodes/diagnostic imaging , Lymphatic Metastasis , Male , Melanoma/diagnostic imaging , Middle Aged
2.
Viruses ; 13(3)2021 03 19.
Article in English | MEDLINE | ID: covidwho-1167757

ABSTRACT

Over the last months, as oncology specialists, we have frequently been contacted for estimating prognosis for cancer patients affected by COVID-19 infection. Until now, there have been no clear markers to guide decision making regarding the appropriateness of invasive ventilation in cancer patients affected by COVID-19 infection. We developed a practical tool encompassing a prognostic score, "The Milano Policlinico ONCOVID-ICU score." The score is composed of three groups of variables: patient's characteristics such as sex, age, BMI, and comorbidities; oncological variables (treatment intent, life expectancy, on or off-treatment status); and clinical parameters in association with laboratory values (the Sequential Organ Failure Assessment (SOFA) score and D-dimer). The SOFA score includes six different clinical parameters and during the first few days of ICU admissions has an important prognostic role. The oncological history should never represent, per se, a contraindication to intensive care and must be considered together with other variables, such as laboratory values, clinical parameters, and patient characteristics, in order to make the hardest but best possible choice. To our knowledge, "The Milano Policlinico ONCOVID-ICU score" is the first prognostic score proposed in this setting of patients and requires further validation. This tool may be useful to assess the prognosis of cancer patients in critical conditions.


Subject(s)
COVID-19/therapy , Noninvasive Ventilation , Adult , Aged , COVID-19/blood , COVID-19/mortality , Fibrin Fibrinogen Degradation Products/metabolism , Hospitalization , Humans , Intensive Care Units , Male , Middle Aged , Prognosis
3.
Cancer ; 127(7): 1091-1101, 2021 04 01.
Article in English | MEDLINE | ID: covidwho-978125

ABSTRACT

BACKGROUND: Patients with cancer are considered at high risk for the novel respiratory illness coronavirus disease 2019 (COVID-19). General measures to keep COVID-19-free cancer divisions have been adopted worldwide. The objective of this study was to evaluate the efficacy of triage to identify COVID-19 among patients with cancer. METHODS: From March 20 to April 17, 2020, data were collected from patients who were treated or followed at the authors' institution in a prospective clinical trial. The primary endpoint was to estimate the cumulative incidence of COVID-19-positive patients who were identified using a triage process through the aid of medical and patient questionnaires. Based on a diagnostic algorithm, patients with suspect symptoms underwent an infectious disease specialist's evaluation and a COVID-19 swab. Serologic tests were proposed for patients who had symptoms or altered laboratory tests that did not fall into the diagnostic algorithm but were suspicious for COVID-19. RESULTS: Overall, 562 patients were enrolled. Six patients (1%) were diagnosed with COVID-19, of whom 4 (67%) had the disease detected through telehealth triage, and 2 patients (33%) without suspect symptoms at triage had the disease detected later. Seventy-one patients (13%) had suspect symptoms and/or altered laboratory tests that were not included in the diagnostic algorithm and, of these, 47 patients (73%) underwent testing for severe acute respiratory syndrome coronavirus 2 antibody: 6 (13%) were positive for IgG (n = 5) or for both IgM and IgG (n = 1), and antibody tests were negative in the remaining 41 patients. CONCLUSIONS: The triage process had a positive effect on the detection of COVID-19 in patients with cancer. Telehealth triage was helpful in detecting suspect patients and to keep a COVID-19-free cancer center. The overall incidence of COVID-19 diagnosis (1%) and antibody positivity (13%) in patients with suspect symptoms was similar to that observed in the general population.


Subject(s)
COVID-19 Testing/statistics & numerical data , COVID-19/diagnosis , Neoplasms/therapy , Triage/statistics & numerical data , Adult , Aged , Aged, 80 and over , COVID-19/complications , COVID-19/virology , COVID-19 Testing/methods , Female , Humans , Male , Middle Aged , Neoplasms/complications , Neoplasms/diagnosis , Prospective Studies , Reproducibility of Results , SARS-CoV-2/physiology , Sensitivity and Specificity , Triage/methods
5.
Crit Rev Oncol Hematol ; 153: 103059, 2020 Sep.
Article in English | MEDLINE | ID: covidwho-642053

ABSTRACT

The novel coronavirus respiratory illness (COVID-19) is a public health emergency of global concern. Patients with cancer are at high risk of infections, due to an overall immunocompromised status. However, this connection is not straightforward for coronavirus (CoV) infection, in which the host immune response is the main driver of tissue damage. We performed a thorough review of data on CoV pathogenesis and morbidity rate in cancer patients, through the analysis of the previous CoV pandemics. Considering the interaction between CoV and the host immune system, cancer patients receiving immunotherapy might be more at risk for an aberrant immune response in case of infection, and might therefore deserve additional precautions. The limited available data do not allow us to provide practical indications for the management of cancer patients in this critical situation. Efforts should be made to prospectively collect data, to identify effective interventions to guide treatment decision.


Subject(s)
Betacoronavirus/pathogenicity , Coronavirus Infections/epidemiology , Immunocompromised Host/immunology , Neoplasms/immunology , Pneumonia, Viral/epidemiology , Betacoronavirus/immunology , COVID-19 , Coronavirus Infections/immunology , Coronavirus Infections/virology , Female , Humans , Immune System , Male , Neoplasms/complications , Neoplasms/epidemiology , Neoplasms/therapy , Pandemics , Pneumonia, Viral/immunology , Pneumonia, Viral/virology , SARS-CoV-2
6.
Eur J Cancer ; 135: 47-50, 2020 08.
Article in English | MEDLINE | ID: covidwho-599965

ABSTRACT

The novel coronavirus (CoV) pandemic is a serious threat for patients with cancer, who have an immunocompromised status and are considered at high risk of infections. Data on the novel CoV respiratory disease (coronavirus disease 2019 [COVID-19]) in patients with cancer are still limited. Unlike other common viruses, CoVs have not been shown to cause a more severe disease in immunocompromised subjects. Along with direct viral pathogenicity, in some individuals, CoV infection triggers an uncontrolled aberrant inflammatory response, leading to lung tissue damage. In patients with cancer treated with immunotherapy (e.g. immune checkpoint inhibitors), COVID-19 may therefore represent a serious threat. After a thorough review of the literature on CoV pathogenesis and cancer, we selected several shared features to define which patients can be considered at higher risk of COVID-19. We combined these clinical and laboratory variables, with the aim of developing a score to weight the risk of COVID-19 in patients with cancer.


Subject(s)
Betacoronavirus/pathogenicity , Coronavirus Infections/epidemiology , Immunocompromised Host/immunology , Immunotherapy/adverse effects , Neoplasms/immunology , Pneumonia, Viral/epidemiology , Age Factors , Betacoronavirus/immunology , COVID-19 , Comorbidity , Coronavirus Infections/immunology , Coronavirus Infections/virology , Humans , Neoplasms/complications , Neoplasms/epidemiology , Neoplasms/therapy , Pandemics , Pneumonia, Viral/immunology , Pneumonia, Viral/virology , Risk Assessment , Risk Factors , SARS-CoV-2 , Sex Factors
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