Publications by authors named "Tatiani O Fereguetti"
Background: Systemic sporotrichosis occurs when organs, other than subcutaneous tissues and lymph nodes, are infected. Interestingly, systemic sporotrichosis in apparently immunocompetent individuals is increasing in Brazil, but data on clinical manifestations and risk factors are scarce. Most of the existing data on such condition relate to people living with HIV.
View Article and Find Full Text PDFPotential and limitations of machine meta-learning (ensemble) methods for predicting COVID-19 mortality in a large inhospital Brazilian dataset.
Sci Rep
March 2023
The majority of early prediction scores and methods to predict COVID-19 mortality are bound by methodological flaws and technological limitations (e.g., the use of a single prediction model).
View Article and Find Full Text PDFThe 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.
View Article and Find Full Text PDFPrevious 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.
View Article and Find Full Text PDFChagas 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.
View Article and Find Full Text PDFArticle Synopsis
- Many existing mortality risk scores for COVID-19 patients have high bias, prompting the need for a more reliable evaluation tool.
- A new prediction model was developed using data from nearly 4,000 COVID-19 patients, identifying seven key variables that indicate in-hospital mortality risk.
- This model showed strong accuracy in predicting outcomes and is accessible through an online calculator for healthcare professionals.*
Introduction: There are few drugs with proven efficacy in cutaneous leishmaniasis (CL), and pentavalent antimonial derivatives are still the main first-line therapeutic agents worldwide, despite their recognized high toxicities. Randomized controlled clinical trials assessing the efficacy and safety of new therapeutic modalities are of high priority, and the definition of the design of such trials raises debate about the use of placebo as a comparator. To support the use of placebo as a comparator, two main points need to be addressed: 1--the cure rate without any therapeutic intervention and 2--the damage caused by CL and its impact on patients.
View Article and Find Full Text PDFObjective: We conducted a systematic literature review with indirect comparison of studies evaluating therapeutic efficacy and toxicity associated to visceral leishmaniasis (VL) therapy among HIV infected individuals.
Main Outcome Measurements: The outcomes of interest were clinical and parasitological cure, mortality, and adverse events.
Methods: PRISMA guidelines for systematic reviews and Cochrane manual were followed.