Researchers from the Instituto de Química de São Carlos (IQSC), University of São Paulo, have identified a method that can predict the severity of Covid-19 infection in patients, based on the analysis of the blood plasma.
The system can be used as a screening tool in the management of infected people and can be used to prevent the progression of the disease. The study was published in the scientific journal Journal of Proteome Research.
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According to research, patients infected with the disease had variations in the concentration of six substances present in the blood called metabolites, which are glycerol, acetate, 3-aminoisobutyrate, formate, glucuronate and lactate.
The analyzes revealed that the greater the imbalance in the quantity of these substances at the beginning of the infection, the more serious the health problems developed by the patients.
Blood plasma samples from 110 patients with flu symptoms who passed through the Hospital of the Federal University of São Paulo (Unifesp) were analyzed in 2020, of which 57 were not infected with covid-19 and the other 53 were recent positive cases of the disease.
The researchers observed that, among those infected, ten patients had complications and were admitted to the intensive care unit (ICU), with two deaths recorded.
This group in a more severe state presented, at the start of the covid-19 infection, more accentuated variations in the concentration of the aforementioned metabolites.
The results of the study could contribute, as the IQSC points out, to the development of a new clinical protocol which would help doctors and hospitals to identify, in the first days of symptoms, patients likely to develop the form severity of the disease, allowing them to intervene to prevent the progression of the disease.
Also according to the IQSC, to validate the technique, the researchers plan to increase the number of blood plasma samples evaluated and to include new groups, such as vaccinated people who contracted Covid-19, in the next stages of the study. the study. Also, they intend to include gender and age information in the statistics.
SOURCE: Agência Brasil
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