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2.
Cancer Control ; 27(1): 1073274820964800, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-33023342

RESUMO

Emergence of the COVID-19 crisis has catalyzed rapid paradigm shifts throughout medicine. Even after the initial wave of the virus subsides, a wholesale return to the prior status quo is not prudent. As a specialty that values the proper application of new technology, radiation oncology should strive to be at the forefront of harnessing telehealth as an important tool to further optimize patient care. We remain cognizant that telehealth cannot and should not be a comprehensive replacement for in-person patient visits because it is not a one for one replacement, dependent on the intention of the visit and patient preference. However, we envision the opportunity for the virtual patient "room" where multidisciplinary care may take place from every specialty. How we adapt is not an inevitability, but instead, an opportunity to shape the ideal image of our new normal through the choices that we make. We have made great strides toward genuine multidisciplinary patient-centered care, but the continued use of telehealth and virtual visits can bring us closer to optimally arranging the spokes of the provider team members around the central hub of the patient as we progress down the road through treatment.


Assuntos
Betacoronavirus , Infecções por Coronavirus/epidemiologia , Neoplasias/diagnóstico , Aceitação pelo Paciente de Cuidados de Saúde , Quartos de Pacientes/organização & administração , Pneumonia Viral/epidemiologia , Telemedicina/métodos , Realidade Virtual , Comorbidade , Humanos , Neoplasias/epidemiologia , Pandemias , Satisfação do Paciente
3.
Hum Genomics ; 14(1): 35, 2020 10 02.
Artigo em Inglês | MEDLINE | ID: mdl-33008459

RESUMO

Precision medicine aims to empower clinicians to predict the most appropriate course of action for patients with complex diseases like cancer, diabetes, cardiomyopathy, and COVID-19. With a progressive interpretation of the clinical, molecular, and genomic factors at play in diseases, more effective and personalized medical treatments are anticipated for many disorders. Understanding patient's metabolomics and genetic make-up in conjunction with clinical data will significantly lead to determining predisposition, diagnostic, prognostic, and predictive biomarkers and paths ultimately providing optimal and personalized care for diverse, and targeted chronic and acute diseases. In clinical settings, we need to timely model clinical and multi-omics data to find statistical patterns across millions of features to identify underlying biologic pathways, modifiable risk factors, and actionable information that support early detection and prevention of complex disorders, and development of new therapies for better patient care. It is important to calculate quantitative phenotype measurements, evaluate variants in unique genes and interpret using ACMG guidelines, find frequency of pathogenic and likely pathogenic variants without disease indicators, and observe autosomal recessive carriers with a phenotype manifestation in metabolome. Next, ensuring security to reconcile noise, we need to build and train machine-learning prognostic models to meaningfully process multisource heterogeneous data to identify high-risk rare variants and make medically relevant predictions. The goal, today, is to facilitate implementation of mainstream precision medicine to improve the traditional symptom-driven practice of medicine, and allow earlier interventions using predictive diagnostics and tailoring better-personalized treatments. We strongly recommend automated implementation of cutting-edge technologies, utilizing machine learning (ML) and artificial intelligence (AI) approaches for the multimodal data aggregation, multifactor examination, development of knowledgebase of clinical predictors for decision support, and best strategies for dealing with relevant ethical issues.


Assuntos
Infecções por Coronavirus/genética , Diabetes Mellitus/genética , Neoplasias/genética , Pneumonia Viral/genética , Medicina de Precisão/tendências , Cardiomiopatias , Infecções por Coronavirus/epidemiologia , Análise de Dados , Diabetes Mellitus/epidemiologia , Genômica/tendências , Humanos , Metabolômica/tendências , Neoplasias/epidemiologia , Pandemias , Pneumonia Viral/epidemiologia , Proteômica/tendências
4.
Medicina (Kaunas) ; 56(10)2020 Oct 01.
Artigo em Inglês | MEDLINE | ID: mdl-33019514

RESUMO

Background and objectives: the emergency department (ED) is frequently identified by patients as a possible solution for all healthcare problems, leading to a high rate of misuse of the ED, possibly causing overcrowding. The coronavirus disease 2019 (COVID-19) pandemic started in China; it then spread throughout Italy, with the first cases confirmed in Lombardy, Italy, in February 2020. This has totally changed the type of patients referred to EDs. The aim of this study was to analyze the reduction of ED admissions at a Second level urban teaching (Fondazione Policlinico Universitario Agostino Gemelli IRCCS) during the COVID-19 pandemic. Materials and Methods: in this retrospective observational cross-sectional study, we reviewed and compared clinical records of all the patients consecutively admitted to our ED over a 40-day period (21 February -31 March) in the last three years (2018-2019-2020). Mean age, sex, triage urgency level, day/night admission, main presentation symptom, and final diagnosis, according to different medical specialties, hospitalization, and discharge rate, were analyzed. Results: we analyzed 16,281 patient clinical records. The overall reduction in ED admissions in 2020 was 37.6% compared to 2019. In 2020, we observed an increase in triage urgency levels for ED admissions (the main presentation symptom was a fever). We noticed a significant drop in admissions for cardio-thoracic, gastroenterological, urological, otolaryngologic/ophthalmologic, and traumatological diseases. Acute neurological conditions registered only a slight, but significant, reduction. Oncology admissions were stable. Admissions for infectious diseases were 30% in 2020, compared to 5% and 6% in 2018 and 2019, respectively. In 2020, the hospitalization rate increased to 42.9% compared to 27.7%, and 26.4% in previous years. Conclusions: the drastic reduction of ED admissions during the pandemic may be associated with fear of the virus, suggesting that patients with serious illnesses did not go to the emergency room. Moreover, there was possible misuse of the ED in the previous year. In particular, worrisome data emerged regarding a drop in cardiology and neurology admissions. Those patients postponed medical attention, possibly with fatal consequences, just for fear of exposure to COVID-19, leading to unnecessary morbidity and mortality.


Assuntos
Betacoronavirus , Infecções por Coronavirus/epidemiologia , Serviço Hospitalar de Emergência/estatística & dados numéricos , Pandemias , Admissão do Paciente/estatística & dados numéricos , Pneumonia Viral/epidemiologia , Adolescente , Adulto , Idoso , Idoso de 80 Anos ou mais , Estudos Transversais , Serviço Hospitalar de Emergência/tendências , Oftalmopatias/epidemiologia , Feminino , Gastroenteropatias/epidemiologia , Humanos , Itália/epidemiologia , Masculino , Pessoa de Meia-Idade , Neoplasias/epidemiologia , Doenças do Sistema Nervoso/epidemiologia , Otorrinolaringopatias/epidemiologia , Admissão do Paciente/tendências , Estudos Retrospectivos , Doenças Torácicas/epidemiologia , Doenças Urológicas/epidemiologia , Ferimentos e Lesões/epidemiologia , Adulto Jovem
5.
Hum Genomics ; 14(1): 35, 2020 10 02.
Artigo em Inglês | MEDLINE | ID: covidwho-810405

RESUMO

Precision medicine aims to empower clinicians to predict the most appropriate course of action for patients with complex diseases like cancer, diabetes, cardiomyopathy, and COVID-19. With a progressive interpretation of the clinical, molecular, and genomic factors at play in diseases, more effective and personalized medical treatments are anticipated for many disorders. Understanding patient's metabolomics and genetic make-up in conjunction with clinical data will significantly lead to determining predisposition, diagnostic, prognostic, and predictive biomarkers and paths ultimately providing optimal and personalized care for diverse, and targeted chronic and acute diseases. In clinical settings, we need to timely model clinical and multi-omics data to find statistical patterns across millions of features to identify underlying biologic pathways, modifiable risk factors, and actionable information that support early detection and prevention of complex disorders, and development of new therapies for better patient care. It is important to calculate quantitative phenotype measurements, evaluate variants in unique genes and interpret using ACMG guidelines, find frequency of pathogenic and likely pathogenic variants without disease indicators, and observe autosomal recessive carriers with a phenotype manifestation in metabolome. Next, ensuring security to reconcile noise, we need to build and train machine-learning prognostic models to meaningfully process multisource heterogeneous data to identify high-risk rare variants and make medically relevant predictions. The goal, today, is to facilitate implementation of mainstream precision medicine to improve the traditional symptom-driven practice of medicine, and allow earlier interventions using predictive diagnostics and tailoring better-personalized treatments. We strongly recommend automated implementation of cutting-edge technologies, utilizing machine learning (ML) and artificial intelligence (AI) approaches for the multimodal data aggregation, multifactor examination, development of knowledgebase of clinical predictors for decision support, and best strategies for dealing with relevant ethical issues.


Assuntos
Infecções por Coronavirus/genética , Diabetes Mellitus/genética , Neoplasias/genética , Pneumonia Viral/genética , Medicina de Precisão/tendências , Cardiomiopatias , Infecções por Coronavirus/epidemiologia , Análise de Dados , Diabetes Mellitus/epidemiologia , Genômica/tendências , Humanos , Metabolômica/tendências , Neoplasias/epidemiologia , Pandemias , Pneumonia Viral/epidemiologia , Proteômica/tendências
6.
Med. clín (Ed. impr.) ; 155(5): 202-204, sept. 2020. tab
Artigo em Espanhol | IBECS | ID: ibc-188495

RESUMO

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 primeras3 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 solo6 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


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 wasestablished 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


Assuntos
Humanos , Masculino , Feminino , Adulto , Pessoa de Meia-Idade , Idoso , Idoso de 80 Anos ou mais , Infecções por Coronavirus/mortalidade , Neoplasias/epidemiologia , Comorbidade , Neoplasias/complicações , Febre/complicações , Tosse/complicações , Dispneia/complicações , Hidroxicloroquina/administração & dosagem , Lopinavir/administração & dosagem , Azitromicina/administração & dosagem , Antineoplásicos/administração & dosagem , Unidades de Terapia Intensiva/estatística & dados numéricos
8.
Cancer Control ; 27(1): 1073274820960471, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32938229

RESUMO

Early detection of cancer greatly increases the chances of better survival. The emergence of COVID-19 pandemic has disrupted several essential health services globally and early detection of cancer services is one of them. The routine cancer screenings have plummeted in many developed countries since the crisis. India has highest estimated lip and oral cavity cancer cases worldwide (119,992, 33.8%) and the secondhighest number of breast (162,468, 17.8%) and cervix uteri (96,922,30.7%) cancers in Asian sub-continent. Not only India has high burden of cancer, but the majority (75-80%) of patients have advanced disease at the time of diagnosis. Hence is it imperative that early detection services should be kept functional at out-patient settings so that at least the patients coming to hospitals with early signs and symptoms can be diagnosed as early as possible. Strategies need to be adopted to continue early detection services and ensure safety of patients and health care workers from COVID-19 transmission.


Assuntos
Infecções por Coronavirus/epidemiologia , Detecção Precoce de Câncer , Programas de Rastreamento/métodos , Neoplasias/diagnóstico , Pandemias , Pneumonia Viral/epidemiologia , Betacoronavirus , Infecções por Coronavirus/complicações , Humanos , Índia/epidemiologia , Neoplasias/complicações , Neoplasias/epidemiologia , Pneumonia Viral/complicações
9.
Psychiatr Danub ; 32(Suppl 2): 221-225, 2020 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-32970639

RESUMO

A study of COVID-19 infected patients was conducted regarding to organic and psychological characteristics. The findings of the study indicate that in the period of the pandemic in 2020, a total of 78 infection cases were confirmed in West Herzegovina Canton. Of the total number of infected, 55.1% are women and 44.9% are men. Of the infected population, 16.7% were hospitalized. By monitoring the COVID-19 disease in West Herzegovina Canton, we conclude how all manifestations of the disease were represented, from asymptomatic, through mild respiratory to the most severe clinical picture with fatal outcomes. The mortality rate in West Herzegovina Canton is 5.1%. The study showed that a total of 28.2% of COVID-19 positive patients before infecting with virus, were most likely to suffer from hypertension, diabetes and malignancies. Furthermore, it is important to emphasize that a total of 71.9% of those infected are without underlying diseases. Also, the results indicate that people with COVID-19 in addition to the characteristic symptoms of the disease (fever, fatigue, cough, etc.) had certain mental ailments such as decreased general mood, increased anxiety, panic attacks, acute stress disorder and others.


Assuntos
Infecções por Coronavirus/epidemiologia , Saúde Mental/estatística & dados numéricos , Pandemias , Pneumonia Viral/epidemiologia , Betacoronavirus , Bósnia e Herzegóvina/epidemiologia , Comorbidade , Infecções por Coronavirus/psicologia , Diabetes Mellitus/epidemiologia , Feminino , Humanos , Hipertensão/epidemiologia , Masculino , Neoplasias/epidemiologia , Pneumonia Viral/psicologia
10.
Acta Biomed ; 91(3): e2020022, 2020 09 07.
Artigo em Inglês | MEDLINE | ID: mdl-32921719

RESUMO

COVID-19 has had a catastrophic effect on healthcare systems compromising the treatment of cancer patients. It has an increased disease burden in the cancer population. As a result, tele-oncology services have become essential to reduce the risk of cancer patients being exposed to the deadly pathogen. Many governmental establishments have endorsed the use of tele-oncology during COVID-19 era. However, telemedicine in oncology still has certain drawbacks that can be improved upon. Nevertheless, tele-oncology has shown great promise to support cancer care not only during this pandemic but also become a part of normal care in the future.


Assuntos
Betacoronavirus , Infecções por Coronavirus/epidemiologia , Assistência à Saúde/métodos , Oncologia , Neoplasias/epidemiologia , Pandemias , Pneumonia Viral/epidemiologia , Telemedicina/métodos , Terapia Combinada , Comorbidade/tendências , Humanos , Neoplasias/terapia
15.
Lancet Oncol ; 21(9): e452-e459, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32888474

RESUMO

Hope is a contextual term that has different connotations depending on the setting. We analyse the concept of hope with respect to its applicability for oncology. We review studies that present hope as a direct or secondary mediator of outcome. We posit that an individual's level of hope is often determined by innate personality characteristics and environmental factors, but can also be physiologically influenced by immune modulators, neurotransmitters, affective states, and even the underlying disease process of cancer. We argue that hope can be a therapeutic target and review evidence showing the effects of hope-enhancing therapies. Given the potential for hope to alter oncological outcomes in patients with cancer and the opportunity for improvement in quality of life, we suggest further research directions in this area.


Assuntos
Emoções , Esperança , Neoplasias/psicologia , Personalidade , Humanos , Neoplasias/epidemiologia , Neoplasias/terapia , Qualidade de Vida/psicologia
16.
Lancet Oncol ; 21(9): e444-e451, 2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32888473

RESUMO

Population-based cancer registries (PBCRs) generate measures of cancer incidence and survival that are essential for cancer surveillance, research, and cancer control strategies. In 2014, the Toronto Paediatric Cancer Stage Guidelines were developed to standardise how PBCRs collect data on the stage at diagnosis for childhood cancer cases. These guidelines have been implemented in multiple jurisdictions worldwide to facilitate international comparative studies of incidence and outcome. Robust stratification by risk also requires data on key non-stage prognosticators (NSPs). Key experts and stakeholders used a modified Delphi approach to establish principles guiding paediatric cancer NSP data collection. With the use of these principles, recommendations were made on which NSPs should be collected for the major malignancies in children. The 2014 Toronto Stage Guidelines were also reviewed and updated where necessary. Wide adoption of the resultant Paediatric NSP Guidelines and updated Toronto Stage Guidelines will enhance the harmonisation and use of childhood cancer data provided by PBCRs.


Assuntos
Guias como Assunto/normas , Neoplasias/terapia , Pediatria/tendências , Prognóstico , Criança , Assistência à Saúde , Humanos , Estadiamento de Neoplasias , Neoplasias/epidemiologia , Sistema de Registros
18.
S Afr Med J ; 110(9): 910-915, 2020 08 31.
Artigo em Inglês | MEDLINE | ID: mdl-32880277

RESUMO

BACKGROUND: With COVID-19 having spread across the globe, it has become standard to implement infection control strategies (colloquially known as lockdown) with the intention of reducing the magnitude and delaying the peak of the epidemiological curve. Personal infection mitigation strategies coupled with lockdown have caused a change in healthcare-seeking behaviour, with individuals not attending to their ill health as they previously did. OBJECTIVES: To determine whether admissions for urgent and emergency surgical pathologies have declined during the COVID-19 lockdown period, and the magnitude of the decline. METHODS: A retrospective analysis was conducted, comparing pre-lockdown (3 February - 26 March 2020) and lockdown (27 March - 30 April 2020) admission incidences for surgical pathologies at a tertiary healthcare complex in North West Province, South Africa. Poisson regression models were created to determine admission incidence rate ratios (IRRs). RESULTS: Of 769 surgical admissions included in the analysis, 49.7% were male and 67.2% were unemployed. There was a 44% reduction in the incidence of non-trauma admissions during lockdown (IRR 0.56; 95% confidence interval (CI) 0.47 - 0.68; p<0.001) and a 53% reduction in the incidence of trauma-related admissions (IRR 0.47; 95% CI 0.34 - 0.66; p<0.001). CONCLUSIONS: Even when the prevalence of SARS-CoV-2 infection was minimal, COVID-19 lockdown in North West was associated with a significant reduction in surgical admissions. In order to ensure an overall benefit to public health, a balance between maintaining the integrity of COVID-19 control mechanisms and access to healthcare services is essential.


Assuntos
Apendicite/epidemiologia , Infecções por Coronavirus/epidemiologia , Hospitalização/estatística & dados numéricos , Neoplasias/epidemiologia , Pneumonia Viral/epidemiologia , Infecções dos Tecidos Moles/epidemiologia , Centro Cirúrgico Hospitalar , Ferimentos e Lesões/epidemiologia , Adulto , Idoso , Betacoronavirus , Emergências , Emprego/estatística & dados numéricos , Feminino , Hemorragia Gastrointestinal/epidemiologia , Humanos , Obstrução Intestinal/epidemiologia , Masculino , Pessoa de Meia-Idade , Pandemias , Estudos Retrospectivos , África do Sul/epidemiologia , Centros de Atenção Terciária , Adulto Jovem
19.
Med Sci Monit ; 26: e927212, 2020 Sep 04.
Artigo em Inglês | MEDLINE | ID: mdl-32883943

RESUMO

BACKGROUND The rapid worldwide spread of the coronavirus disease 2019 (COVID-19) epidemic has placed patients with pre-existing conditions at risk of severe morbidity and mortality. The present study investigated the clinical characteristics and outcomes of patients with severe COVID-19 and chronic obstructive pulmonary disease (COPD). MATERIAL AND METHODS This study enrolled 336 consecutive patients with confirmed severe COVID-19, including 28 diagnosed with COPD, from January 20, 2020, to April 1, 2020. Demographic data, symptoms, laboratory values, comorbidities, and clinical results were measured and compared in survivors and non-survivors. RESULTS Patients with severe COVID-19 and COPD were older than those without COPD. The proportions of men, of patients admitted to the intensive care unit (ICU) and of those requiring invasive ventilation were significantly higher in patients with than without COPD. Leukocyte and neutrophil counts, as well as the concentrations of NT-proBNP, hemoglobin, D-dimer, hsCRP, ferritin, IL-2R, TNF-alpha and procalcitonin were higher, whereas lymphocyte and monocyte counts were lower, in patients with than without COPD. Of the 28 patients with COPD, 22 (78.6%) died, a rate significantly higher than in patients without COPD (36.0%). A comparison of surviving and non-surviving patients with severe COVID-19 and COPD showed that those who died had a longer history of COPD, more fatigue, and a higher ICU occupancy rate, but a shorter average hospital stay, than those who survived. CONCLUSIONS COPD increases the risks of death and negative outcomes in patients with severe COVID-19.


Assuntos
Betacoronavirus , Infecções por Coronavirus/epidemiologia , Pandemias , Pneumonia Viral/epidemiologia , Doença Pulmonar Obstrutiva Crônica/epidemiologia , Distribuição por Idade , Idoso , Biomarcadores , Doenças Cardiovasculares/epidemiologia , China/epidemiologia , Comorbidade , Infecções por Coronavirus/sangue , Infecções por Coronavirus/terapia , Cuidados Críticos , Diabetes Mellitus/epidemiologia , Fadiga/etiologia , Feminino , Humanos , Tempo de Internação/estatística & dados numéricos , Masculino , Pessoa de Meia-Idade , Neoplasias/epidemiologia , Pneumonia Viral/sangue , Pneumonia Viral/terapia , Doença Pulmonar Obstrutiva Crônica/sangue , Doença Pulmonar Obstrutiva Crônica/terapia , Insuficiência Renal Crônica/epidemiologia , Respiração Artificial , Distribuição por Sexo , Sobreviventes , Resultado do Tratamento
20.
ESMO Open ; 5(5)2020 09.
Artigo em Inglês | MEDLINE | ID: mdl-32978251

RESUMO

BACKGROUND: Cancer seems to have an independent adverse prognostic effect on COVID-19-related mortality, but uncertainty exists regarding its effect across different patient subgroups. We report a population-based analysis of patients hospitalised with COVID-19 with prior or current solid cancer versus those without cancer. METHODS: We analysed data of adult patients registered until 24 May 2020 in the Belgian nationwide database of Sciensano. The primary objective was in-hospital mortality within 30 days of COVID-19 diagnosis among patients with solid cancer versus patients without cancer. Severe event occurrence, a composite of intensive care unit admission, invasive ventilation and/or death, was a secondary objective. These endpoints were analysed across different patient subgroups. Multivariable logistic regression models were used to analyse the association between cancer and clinical characteristics (baseline analysis) and the effect of cancer on in-hospital mortality and on severe event occurrence, adjusting for clinical characteristics (in-hospital analysis). RESULTS: A total of 13 594 patients (of whom 1187 with solid cancer (8.7%)) were evaluable for the baseline analysis and 10 486 (892 with solid cancer (8.5%)) for the in-hospital analysis. Patients with cancer were older and presented with less symptoms/signs and lung imaging alterations. The 30-day in-hospital mortality was higher in patients with solid cancer compared with patients without cancer (31.7% vs 20.0%, respectively; adjusted OR (aOR) 1.34; 95% CI 1.13 to 1.58). The aOR was 3.84 (95% CI 1.94 to 7.59) among younger patients (<60 years) and 2.27 (95% CI 1.41 to 3.64) among patients without other comorbidities. Severe event occurrence was similar in both groups (36.7% vs 28.8%; aOR 1.10; 95% CI 0.95 to 1.29). CONCLUSIONS: This population-based analysis demonstrates that solid cancer is an independent adverse prognostic factor for in-hospital mortality among patients with COVID-19. This adverse effect was more pronounced among younger patients and those without other comorbidities. Patients with solid cancer should be prioritised in vaccination campaigns and in tailored containment measurements.


Assuntos
Betacoronavirus , Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/mortalidade , Mortalidade Hospitalar , Neoplasias/epidemiologia , Pneumonia Viral/epidemiologia , Pneumonia Viral/mortalidade , Corticosteroides/uso terapêutico , Idoso , Idoso de 80 Anos ou mais , Bélgica/epidemiologia , Comorbidade , Infecções por Coronavirus/diagnóstico por imagem , Infecções por Coronavirus/virologia , Feminino , Hospitalização , Humanos , Unidades de Terapia Intensiva , Pulmão/diagnóstico por imagem , Masculino , Pessoa de Meia-Idade , Neoplasias/tratamento farmacológico , Pandemias , Pneumonia Viral/diagnóstico por imagem , Pneumonia Viral/virologia , Prognóstico , Respiração Artificial , Fatores de Risco
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