Luísa Elem Almeida Santos
- COVID-19 and healthcare impacts
- Parasitic Diseases Research and Treatment
- COVID-19 Clinical Research Studies
- COVID-19 Impact on Reproduction
- Sepsis Diagnosis and Treatment
- Parasites and Host Interactions
- Trypanosoma species research and implications
- Rural Development and Agriculture
- Advanced Neuroimaging Techniques and Applications
- Dental Trauma and Treatments
- COVID-19 diagnosis using AI
- Artificial Intelligence in Healthcare
- Education Pedagogy and Practices
- Machine Learning in Healthcare
- Maternal Mental Health During Pregnancy and Postpartum
- Neurobiology of Language and Bilingualism
- Global Maternal and Child Health
- Histiocytic Disorders and Treatments
- Linguistics and Education Research
- COVID-19 epidemiological studies
- Maternal and fetal healthcare
- Dental Erosion and Treatment
- Global Health Care Issues
- Resilience and Mental Health
- Nosocomial Infections in ICU
Hospital Santa Izabel
2024
Centro Universitário de Patos de Minas
2021-2022
San Antonio Regional Hospital
2021-2022
To describe the clinical characteristics, laboratory results, imaging findings, and in-hospital outcomes of COVID-19 patients admitted to Brazilian hospitals.A cohort study laboratory-confirmed who were hospitalized from March 2020 September in 25 hospitals. Data collected medical records using Research Electronic Capture (REDCap) tools. A multivariate Poisson regression model was used assess risk factors for mortality.For a total 2,054 (52.6% male; median age 58 years), mortality 22.0%;...
Abstract 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 assess clinical characteristics in-hospital outcomes of patients with COVID-19, compare it non-CD patients. Consecutive confirmed were included from March September 2020. Genetic matching for sex, age, hypertension, diabetes mellitus hospital performed 4:1 ratio. Of 7018 who had 31 124 matched controls (median age 72 (64–80)...
The COVID-19 pandemic caused unprecedented pressure over health care systems worldwide. Hospital-level data that may influence the prognosis in patients still needs to be better investigated. Therefore, this study analyzed regional socioeconomic, hospital, and intensive units (ICU) characteristics associated with in-hospital mortality admitted Brazilian institutions. This multicenter retrospective cohort is part of Registry. We enrolled ≥ 18 years old laboratory-confirmed participating...
Background:The COVID-19 pandemic caused unprecedented pressure over health care systems, but hospital-level data that may influence the prognosis are not well-studied. Therefore, this study analyzed regional socioeconomic, hospital, and intensive units (ICU) characteristics associated with mortality in patients admitted to Brazilian institutions.Methods:This is a multicenter retrospective cohort. Patients from March September 2020, were enrolled. Data collected through hospital records,...
Abstract 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 assess clinical characteristics in-hospital outcomes of patients with COVID-19, compare it non-CD patients. Consecutive confirmed were included from March September 2020. Genetic matching for sex, age, hypertension, diabetes mellitus hospital performed 4:1 ratio. Of 7,018 who had 31 124 matched controls (median age 72...
Abstract Background Assessing predictors of critical outcomes in COVID-19 may advise timely treatments and better prepare facilities to overcome extra adversities during pregnancy. However, many clinical parameters existent scores are deeply modified by physiologic adaptations. Our aim was assess the feasibility a prognosis score developed for general hospitalized adults with Brazil predict adverse pregnant women upon hospital admission. Methods This is multicenter retrospective substudy...
Abstract The majority prognostic scores proposed for early assessment of coronavirus disease 19 (COVID-19) patients are bounded by methodological flaws. Our group recently developed a new risk score - ABC 2 SPH using traditional statistical methods (least absolute shrinkage and selection operator logistic regression LASSO). In this article, we provide thorough comparative study between modern machine learning (ML) state-of-the-art methods, represented SPH, in the task predicting in-hospital...
Abstract Background: Assessing predictors of critical outcomes in COVID-19 may advise timely treatments and better prepare facilities to overcome extra adversities during pregnancy. However, many clinical parameters existent scores are deeply modified by physiologic adaptations. Our aim was assess the feasibility a prognosis score developed for general hospitalized adults with Brazil predict adverse pregnant women upon hospital admission. Methods: This is multicenter retrospective substudy...