Analysis of the correlation between inflammatory markers at hospital admission with clinical evolution outcomes in patients hospitalized for COVID-19

• Grant number: 24/15715-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: November 01, 2024
• End date: October 31, 2025
• Field of knowledge: Health Sciences - Medicine - Medical Clinics
• Principal Investigator: Mônica Corso Pereira
• Grantee: Luíza Schmitt Lobo Soares
• Host Institution: Faculdade de Ciências Médicas (FCM). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

COVID-19 is a disease caused by SARS-CoV-2 virus, when the immunological system is not efficient to combat the pathogen, the COVID-19 can evolve to a severity clinical situation, which is characterized by cytokine storm, viremia, systemic dissemination and increase in clotting factors. Beyond the immune response, there are some risk factors associated with the worst prognosis. Depending on those two components, the disease can have a favorable evolution, with the resolution of the disease and cure, or it can have an unfavorable evolution with a progression to respiratory failure and need for mechanical ventilation, admission to an intensive care unit (ICU), or even death.Some laboratorial inflammation have been studied to predict the prognosis or the outcome of the patient in the hospital admission, and some of them are: D-dimer, fibrinogen, lymphocytes, monocytes, neutrophils, platelets, lactate dehydrogenase (LDH), C-reactive protein (CRP), ferritin and glucose. This research's aim is to analyze if this data obtained in the hospital admission have relation or help in the prediction of the patients' clinical outcome. To this end, a retrospective, observational, descriptive, quantitative epidemiological cohort study will be carried out, with a sample of a group of patients admitted with a diagnosis of COVID-19 at the Unicamp HC from March 2020 to March 2021, in which clinical and laboratory data will be collected - blood count, blood collection, arterial blood gas analysis and coagulogram. The clinical outcomes of interest considered will be: hospital discharge, death, length of stay, type of ventilatory support, duration of mechanical ventilation, diagnosis of pulmonary embolism.