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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2021
License: CC BY NC ND
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Revistas científicas UCV
Bachelor thesis . 2021
License: CC BY NC ND
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Recolector de Ciencia Abierta, RECOLECTA
Bachelor thesis . 2021
License: CC BY NC ND
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Impacto de valores bajos de lipoproteínas de alta densidad en el pronóstico de pacientes COVID

Authors: Borau Pallarés, Mascún;

Impacto de valores bajos de lipoproteínas de alta densidad en el pronóstico de pacientes COVID

Abstract

El reciente brote de COVID-19 causado por el SARS-CoV-2 representa una amenaza para la población humana. Empezó con el brote en Wuhan, se extendió, y posteriormente, el 11 de marzo de 2020 la Organización Mundial de la Salud (OMS) declaró al COVID-19 una pandemia. La COVID-19 ha afectado a más de 197 países alrededor del mundo. Los pacientes con COVID-19 muestran niveles más bajos de colesterol total, HDL y LDL, que se correlacionan con la gravedad de la enfermedad y podrían ser un biomarcador sanguíneo de pronóstico potencial. El objetivo de este trabajo es estudiar la relación entre los niveles de HDL en sangre de los pacientes diagnosticados de COVID-19 y su evolución clínica. Se plantea la hipótesis en la que los pacientes con niveles bajos de HDL en sangre diagnosticados de COVID-19 tienen peor evolución clínica, con mayor riesgo de mortalidad e ingreso en UCI. Para comprobar esta hipótesis se realizó un subestudio, una cohorte retrospectiva, del estudio CARDIOCOVID. Se analizaron los datos de 278 pacientes ingresados en el Hospital General de Valencia. Se encontraron diferencias estadísticamente significativas entre niveles de HDL-C, triglicéridos e IL-6 con el mal pronóstico de los pacientes (todas con una p<0,05) mientras que no se encontraron estas diferencias en cuanto respecta al LDL-C, colesterol total y la toma de estatinas, entre otras. En múltiples estudios, los niveles elevados de HDL-C se asocian significativamente con un menor riesgo de hospitalizaciones por enfermedades infecciosas y de mortalidad por sepsis, lo que sugiere que el HDL podría estar relacionado causalmente con el COVID-19 e incluso podría convertirse en un objetivo terapéutico potencial para esta enfermedad.

The recent outbreak of COVID-19 caused by SARS-CoV-2 poses a threat to the human population. It began with the outbreak in Wuhan, spread, and subsequently, on March 11, 2020 the World Health Organization (WHO) declared COVID-19 a pandemic. COVID 19 has affected more than 197 countries around the world. Patients with COVID-19 show lower levels of total cholesterol, HDL and LDL, which correlate with disease severity and could be a potential prognostic blood biomarker. The aim of this work is to study the relationship between blood HDL levels in patients diagnosed with COVID-19 and their clinical course. It is hypothesized that patients with low blood HDL levels diagnosed with COVID-19 have a worse clinical course, with a higher risk of mortality and admission to the ICU. To test this hypothesis, a substudy, a retrospective cohort, of the CARDIOCOVID study was performed. Data from 278 patients admitted to the Hospital General de Valencia were analyzed. Statistically significant differences were found between HDL-C levels, triglycerides and IL-6 with poor patient prognosis (all with a p<0.05) while no such differences were found for LDL-C, total cholesterol and statin intake, among others. Most similar studies have observed poor outcome in patients with these characteristics and have provided a basis for HDL-C to predict the prognosis of COVID-19 and even become a potential therapeutic target for this disease.

Medicina

Country
Spain
Keywords

Supervivencia, Cholesterol, Survival, 32 Ciencias Médicas, COVID-19, Pronóstico médico, Prognosis, Colesterol

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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