Publications by authors named "Natalia da Cunha Severino Sampaio"

Background: Acute kidney injury has been described as a common complication in patients hospitalized with COVID-19, which may lead to the need for kidney replacement therapy (KRT) in its most severe forms. Our group developed and validated the MMCD score in Brazilian COVID-19 patients to predict KRT, which showed excellent performance using data from 2020. This study aimed to validate the MMCD score in a large cohort of patients hospitalized with COVID-19 in a different pandemic phase and assess its performance to predict in-hospital mortality.

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Objective: To evaluate clinical characteristics and outcomes of COVID-19 patients infected with HIV, and to compare with a paired sample without HIV infection.

Methods: This is a substudy of a Brazilian multicentric cohort that comprised two periods (2020 and 2021). Data was obtained through the retrospective review of medical records.

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The COVID-19 pandemic caused unprecedented pressure over health care systems worldwide. Hospital-level data that may influence the prognosis in COVID-19 patients still needs to be better investigated. Therefore, this study analyzed regional socioeconomic, hospital, and intensive care units (ICU) characteristics associated with in-hospital mortality in COVID-19 patients admitted to Brazilian institutions.

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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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Objectives: COVID-19 has been associated with long-term consequences to patient wellness and quality of life. Data on post-COVID-19 conditions are scarce in developing countries. This study aimed to investigate long COVID in a cohort of hospitalized patients in Brazil.

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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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Background: It is not clear whether previous thyroid diseases influence the course and outcomes of COVID-19.

Methods: The study is a part of a multicentric cohort of patients with confirmed COVID-19 diagnosis from 37 hospitals. Matching for age, sex, number of comorbidities, and hospital was performed for the paired analysis.

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Chagas disease (CD) continues to be a major public health burden in Latina America. Information on the interplay between COVID-19 and CD is lacking. Our aim was to assess clinical characteristics and in-hospital outcomes of patients with CD and COVID-19, and to compare it to non-CD patients.

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