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1.
Mol Biol Rep ; 51(1): 803, 2024 Jul 13.
Artículo en Inglés | MEDLINE | ID: mdl-39001884

RESUMEN

Acquired brain injury is an urgent situation that requires rapid diagnosis and treatment. Magnetic resonance imaging (MRI) and computed tomography (CT) are required for accurate diagnosis. However, these methods are costly and require substantial infrastructure and specialized staff. Circulatory biomarkers of acute brain injury may help in the management of patients with acute cerebrovascular events and prevent poor outcome and mortality. The purpose of this review is to provide an overview of the development of potential biomarkers of brain damage to increase diagnostic possibilities. For this purpose, we searched the PubMed database of studies on the diagnostic potential of brain injury biomarkers. We also accessed information from Clinicaltrials.gov to identify any clinical trials of biomarker measurements for the diagnosis of brain damage. In total, we present 41 proteins, enzymes and hormones that have been considered as biomarkers for brain injury, of which 20 have been studied in clinical trials. Several microRNAs have also emerged as potential clinical biomarkers for early diagnosis. Combining multiple biomarkers in a panel, along with other parameters, is yielding promising outcomes.


Asunto(s)
Biomarcadores , Lesiones Encefálicas , Isquemia Encefálica , Humanos , Biomarcadores/sangre , Lesiones Encefálicas/diagnóstico , Lesiones Encefálicas/metabolismo , Lesiones Encefálicas/sangre , Isquemia Encefálica/diagnóstico , MicroARNs/sangre , Animales , Imagen por Resonancia Magnética/métodos
2.
Pediatr Allergy Immunol ; 33(10): e13851, 2022 10.
Artículo en Inglés | MEDLINE | ID: mdl-36282136

RESUMEN

By the April 12, 2022, the COVID-19 pandemic had resulted in over half a billion people being infected worldwide. There have been 6.1 million deaths directly due to the infection, but the pandemic has had many more short- and long-term pervasive effects on the physical and mental health of the population. Allergic diseases are among the most prevalent noncommunicable chronic diseases in the pediatric population, and health-care professionals and researchers were seeking answers since the beginning of pandemic. Children are at lower risk of developing severe COVID-19 or dying from infection. Allergic diseases are not associated with a higher COVID-19 severity and mortality, apart from severe/poorly controlled asthma. The pandemic disrupted routine health care, but many mitigation strategies, including but not limited to telemedicine, were successfully implemented to continue delivery of high-standard care. Although children faced a multitude of pandemic-related issues, allergic conditions were effectively treated remotely while reduction in air pollution and lack of contact with outdoor allergens resulted in improvement, particularly respiratory allergies. There is no evidence to recommend substantial changes to usual management modalities of allergic conditions in children, including allergen immunotherapy and use of biologicals. Allergic children are not at greater risk of multisystem inflammatory syndrome development, but some associations with Long COVID were reported, although the data are limited, and further research is needed. This statement of the EAACI Section on Pediatrics provides recommendations based on the lessons learnt from the pandemic, as available evidence.


Asunto(s)
Asma , COVID-19 , Hipersensibilidad , Síndromes de Inmunodeficiencia , Niño , Humanos , COVID-19/epidemiología , Pandemias , Asma/epidemiología , Síndrome Post Agudo de COVID-19
3.
Psychol Methods ; 28(3): 558-579, 2023 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-35298215

RESUMEN

The last 25 years have shown a steady increase in attention for the Bayes factor as a tool for hypothesis evaluation and model selection. The present review highlights the potential of the Bayes factor in psychological research. We discuss six types of applications: Bayesian evaluation of point null, interval, and informative hypotheses, Bayesian evidence synthesis, Bayesian variable selection and model averaging, and Bayesian evaluation of cognitive models. We elaborate what each application entails, give illustrative examples, and provide an overview of key references and software with links to other applications. The article is concluded with a discussion of the opportunities and pitfalls of Bayes factor applications and a sketch of corresponding future research lines. (PsycInfo Database Record (c) 2023 APA, all rights reserved).


Asunto(s)
Teorema de Bayes , Investigación Conductal , Psicología , Humanos , Investigación Conductal/métodos , Psicología/métodos , Programas Informáticos , Proyectos de Investigación
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