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1.
Vaccines (Basel) ; 9(6)2021 Jun 10.
Article in English | MEDLINE | ID: covidwho-1264544

ABSTRACT

The novel coronavirus disease 2019 (COVID-19) has represented an overwhelming challenge for worldwide health systems. Patients with cancer are considered at higher risk for severe COVID-19 and increased mortality in case of infection. Although data on the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccination in patients with cancer are limited, there is enough evidence supporting anti-infective vaccination in general in patients with active cancer, or with history of previous malignancy. Subjects with classic Kaposi's sarcoma (KS) represent a small subset of cancer patients, which should be considered at heightened risk for infections due to several factors including age, and impaired immune function status. Several cases of human herpesviruses reactivation among critically ill COVID-19 patients have been described. Moreover, in case of severe infection and treatment with immunomodulating agents, patients with CKS are exposed at significant risk of viral reactivation and disease progression. Considering the baseline clinical risk factors of patients with CKS, and the complex interplay of the two viral agents, SARS-CoV-2 vaccination should be strongly recommended among patients with KS. KS represents an interesting field to study the interactions among chronic viral infections, SARS-CoV-2 and the host's immune system. Prospective observational studies are needed to provide more insights on vaccine activity and safety among patients with cancer, optimal vaccine schedules, potential interactions with antineoplastic therapies, and other comorbidities including chronic viral infections.

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
4.
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
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