Publications by authors named "Andresa Fontoura Garbini"

Background: The assessment of clinical prognosis of pregnant COVID-19 patients at hospital presentation is challenging, due to physiological adaptations during pregnancy. Our aim was to assess the performance of the ABC-SPH score to predict in-hospital mortality and mechanical ventilation support in pregnant patients with COVID-19, to assess the frequency of adverse pregnancy outcomes, and characteristics of pregnant women who died.

Methods: This multicenter cohort included consecutive pregnant patients with COVID-19 admitted to the participating hospitals, from April/2020 to March/2022.

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Introduction: With the COVID-19 pandemic, hospitals in low-income countries were faced with a triple challenge. First, a large number of patients required hospitalisation because of the infection's more severe symptoms. Second, there was a lack of systematic and broad testing policies for early identification of cases.

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Article Synopsis
  • - The study investigated acute kidney injury (AKI) in hospitalized COVID-19 patients, focusing on predicting the need for kidney replacement therapy (KRT) as a measure of disease severity.
  • - Researchers used a large cohort of 5212 adult patients, employing statistical methods like generalized additive models and LASSO regression to develop a prognostic score named MMCD, identifying four key predictors for KRT.
  • - The MMCD score demonstrated high accuracy in predicting KRT requirements across various cohorts and is accessible via an online risk calculator, potentially aiding healthcare professionals in managing COVID-19 patients.
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Previous studies that assessed risk factors for venous thromboembolism (VTE) in COVID-19 patients have shown inconsistent results. Our aim was to investigate VTE predictors by both logistic regression (LR) and machine learning (ML) approaches, due to their potential complementarity. This cohort study of a large Brazilian COVID-19 Registry included 4120 COVID-19 adult patients from 16 hospitals.

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COVID-19 is a disease whose knowledge is still under construction, high transmissibility, with no consensual treatment available to everyone. Therefore, the identification of patients at higher risk of evolving to the critical form of the disease is fundamental. The study aimed to determine risk factors associated with the severity of COVID-19 in adults patients.

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