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1.
BMJ Open ; 14(2): e072784, 2024 Feb 14.
Artigo em Inglês | MEDLINE | ID: mdl-38355186

RESUMO

BACKGROUND: A paucity of predictive models assessing risk factors for COVID-19 mortality that extend beyond age and gender in Latino population is evident in the current academic literature. OBJECTIVES: To determine the associated factors with mortality, in addition to age and sex during the first year of the pandemic. DESIGN: A case-control study with retrospective revision of clinical and paraclinical variables by systematic revision of clinical records was conducted. Multiple imputations by chained equation were implemented to account for missing variables. Classification and regression trees (CART) were estimated to evaluate the interaction of associated factors on admission and their role in predicting mortality during hospitalisation. No intervention was performed. SETTING: High-complexity centre above 2640 m above sea level (masl) in Colombia. PARTICIPANTS: A population sample of 564 patients admitted to the hospital with confirmed COVID-19 by PCR. Deceased patients (n=282) and a control group (n=282), matched by age, sex and month of admission, were included. MAIN OUTCOME MEASURE: Mortality during hospitalisation. MAIN RESULTS: After the imputation of datasets, CART analysis estimated 11 clinical profiles based on respiratory distress, haemoglobin, lactate dehydrogenase, partial pressure of oxygen to inspired partial pressure of oxygen ratio, chronic kidney disease, ferritin, creatinine and leucocytes on admission. The accuracy model for prediction was 80.4% (95% CI 71.8% to 87.3%), with an area under the curve of 78.8% (95% CI 69.63% to 87.93%). CONCLUSIONS: This study discloses new interactions between clinical and paraclinical features beyond age and sex influencing mortality in COVID-19 patients. Furthermore, the predictive model could offer new clues for the personalised management of this condition in clinical settings.


Assuntos
COVID-19 , Humanos , Estudos de Casos e Controles , SARS-CoV-2 , Estudos Retrospectivos , Oxigênio , Mortalidade Hospitalar
2.
Front Mol Biosci ; 10: 1215039, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-37614441

RESUMO

Introduction: Systemic sclerosis (SSc) is a chronic autoimmune disease, marked by an unpredictable course, high morbidity, and increased mortality risk that occurs especially in the diffuse and rapidly progressive forms of the disease, characterized by fibrosis of the skin and internal organs and endothelial dysfunction. Recent studies suggest that the identification of altered metabolic pathways may play a key role in understanding the pathophysiology of the disease. Therefore, metabolomics might be pivotal in a better understanding of these pathogenic mechanisms. Methods: Through a systematic review of the literature following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Guidelines (PRISMA), searches were done in the PubMed, EMBASE, Web of Science, and Scopus databases from 2000 to September 2022. Three researchers independently reviewed the literature and extracted the data based on predefined inclusion and exclusion criteria. Results: Of the screened studies, 26 fulfilled the inclusion criteria. A total of 151 metabolites were differentially distributed between SSc patients and healthy controls (HC). The main deregulated metabolites were those derived from amino acids, specifically homocysteine (Hcy), proline, alpha-N-phenylacetyl-L-glutamine, glutamine, asymmetric dimethylarginine (ADMA), citrulline and ornithine, kynurenine (Kyn), and tryptophan (Trp), as well as acylcarnitines associated with long-chain fatty acids and tricarboxylic acids such as citrate and succinate. Additionally, differences in metabolic profiling between SSc subtypes were identified. The diffuse cutaneous systemic sclerosis (dcSSc) subtype showed upregulated amino acid-related pathways involved in fibrosis, endothelial dysfunction, and gut dysbiosis. Lastly, potential biomarkers were evaluated for the diagnosis of SSc, the identification of the dcSSc subtype, pulmonary arterial hypertension, and interstitial lung disease. These potential biomarkers are within amino acids, nucleotides, carboxylic acids, and carbohydrate metabolism. Discussion: The altered metabolite mechanisms identified in this study mostly point to perturbations in amino acid-related pathways, fatty acid beta-oxidation, and in the tricarboxylic acid cycle, possibly associated with inflammation, vascular damage, fibrosis, and gut dysbiosis. Further studies in targeted metabolomics are required to evaluate potential biomarkers for diagnosis, prognosis, and treatment response.

3.
Salud UNINORTE ; 37(1): 162-188, ene.-abr. 2021.
Artigo em Espanhol | LILACS-Express | LILACS | ID: biblio-1365974

RESUMO

RESUMEN Las vacunas son productos biológicos que contienen antígenos que buscan generar protección contra a la exposición real de un agente patógeno. En cuanto a su importancia, hacen parte de las intervenciones más costo-efectivas en salud pública, siendo superadas únicamente por el agua potable. A grandes rasgos, podemos dividir las vacunas en vivas atenuadas e inactivadas; no obstante, el nuevo coronavirus ha producido la emergencia de plataformas innovadoras que utilizan mecanismos intracelulares y moleculares con el mismo objetivo de generar inmunidad. Se realizó una búsqueda sistemática de la literatura utilizando las bases de datos electrónicas Pubmed, Scopus y Web of Science. Todos los tipos de diseño de estudio fueron considerados, sin embargo, se prefierieron aquellos redactados en idioma inglés o español. Se hace una revisión de la literatura presente sobre las plataformas existentes para generar inmunidad frente al coronavirus SARS-CoV-2 y se desarrolla cada una según su ruta y forma de acción en aquellas basadas en subunidades proteicas, vector viral recombinante, ácidos nucleicos, virus inactivados, partículas virales y virus vivos atenuados. Los mecanismos por los cuales dichas vacunas generan inmunogenicidad son diferentes, no obstante, la constante inserción de mutaciones por parte del virus sigue siendo un objeto de interés y preocupación por los investigadores.


ABSTRACT Vaccines are biological products containing antigens that aim to generate protection against real exposure to an infectious pathogen. They constitute the most cost-effective interventions in public health, being surpassed only by drinking water. Generally speaking, we can divide the vaccines into live attenuated and inactive; However, the new coronavirus has produced innovative platforms that use intracellular and molecular mechanisms with the same objective of generating immunity. A systematic literature search was carried out using the PUBMED, SCOPUS, and Web of Science electronic databases. All types of study design were selected, those written in English or Spanish were prioritized. We reviewed the existing platforms to generate immunity against the SARS-CoV-2 coronavirus. Each one is developed according to its route and form of action, and can be classified as protein subunits, recombinant viral vector, nucleic acids, inactivated viruses, viral particles, and live attenuated viruses. The mechanisms by which these vaccines generate immunogenicity are different; however, the constant insertion of mutations by the virus remains an object of interest and concern for researchers.

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