Maíra Viana Rego Souza-Silva
A5084406941- COVID-19 Clinical Research Studies
- COVID-19 and healthcare impacts
- Sepsis Diagnosis and Treatment
- Dialysis and Renal Disease Management
- Machine Learning in Healthcare
- Muscle and Compartmental Disorders
- Long-Term Effects of COVID-19
- Healthcare during COVID-19 Pandemic
- Education during COVID-19 pandemic
- Mobile Health and mHealth Applications
- Simulation-Based Education in Healthcare
- Health Literacy and Information Accessibility
- COVID-19 diagnosis using AI
- Acute Kidney Injury Research
- Data Stream Mining Techniques
- Time Series Analysis and Forecasting
- Healthcare cost, quality, practices
- Cardiac Health and Mental Health
- Public Health in Brazil
- Medication Adherence and Compliance
- COVID-19 Impact on Reproduction
- Cardiac pacing and defibrillation studies
- Explainable Artificial Intelligence (XAI)
- Cutaneous lymphoproliferative disorders research
- Social Media in Health Education
Universidade Federal de Minas Gerais
2017-2024
Complexo Hospitalar Universitário Professor Edgard Santos
2024
Hospital Regional de Presidente Prudente
2024
Laboratoire d'Informatique de Paris-Nord
2024
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 The majority of early prediction scores and methods to predict COVID-19 mortality are bound by methodological flaws technological limitations (e.g., the use a single model). Our aim is provide thorough comparative study that tackles those issues, considering multiple techniques build models, including modern machine learning (neural) algorithms traditional statistical techniques, as well meta-learning (ensemble) approaches. This used dataset from multicenter cohort 10,897 adult...
Abstract Background Acute kidney injury (AKI) is frequently associated with COVID-19, and the need for replacement therapy (KRT) considered an indicator of disease severity. This study aimed to develop a prognostic score predicting KRT in hospitalised COVID-19 patients, assess incidence AKI requirement. Methods part multicentre cohort, Brazilian Registry. A total 5212 adult patients were included between March/2020 September/2020. Variable selection was performed using generalised additive...
Instant messaging services (IMS) are widely used in medical practice.To evaluate perceptions regarding use and usability of IMS within clinical practice assess users' knowledge the ethical legal context involved using practice.Cross-sectional study conducted different hospitals institutions Minas Gerais, Brazil.Medical students, residents, primary care physicians specialist doctors answered an online questionnaire epidemiological data, graduation level for communication. Responses were...
BACKGROUND: Electrocardiograms (ECGs) are an essential examination for identification and management of cardiovascular emergencies.The aim this study was to report on the frequency recognition emergencies in primary care units. DESIGN AND SETTING: Observational retrospective assessing consecutive patients whose digital ECGs were sent analysis team Telehealth Network Minas Gerais. METHODS: Data from diagnosed with cardiological setting 750 municipalities Gerais, Brazil, between March...
Introduction Mobile-technology-based interventions are promising strategies for promoting behavioural change in obese patients. The aims of this study were to evaluate the feasibility implementing a text message intervention, and assess effects intervention on body mass index (BMI) self-reported change. Methods TELEFIT was three-phase comprising following stages: (a) development messages; (b) testing; (c) quasi-experimental pilot which patients who engaged obesity/overweight educational...
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 Proper analysis and interpretation of health care data can significantly improve patient outcomes by enhancing services revealing the impacts new technologies treatments. Understanding substantial impact temporal shifts in these is crucial. For example, COVID-19 vaccination initially lowered mean age at-risk patients later changed characteristics those who died. This highlights importance understanding for assessing factors that affect outcomes. Objective study aims to propose...
Background: The knowledge on the management of patients with acute coronary syndrome (ACS) is essential to reduce gap between evidence and practice. Objective: To describe a simulation training strategy for emergency healthcare professionals provide preliminary data acquisition, learners' confidence prescription medications after training. Methods: was part implementation two myocardial infarction systems care. It comprehended lectures simulation-based learning using high low-fidelity...
Despite no evidence showing benefits of hydroxychloroquine and chloroquine with or without azithromycin for COVID-19 treatment, these medications have been largely prescribed in Brazil.To assess outcomes, including in-hospital mortality, electrocardiographic abnormalities, hospital length-of-stay, admission to the intensive care unit, need dialysis mechanical ventilation, hospitalized patients who received hydroxychloroquine, compare outcomes between those their matched controls.A...
Abstract Background Warfarin remains the most affordable oral anticoagulant in many countries. However, it may have serious side effects, and success of therapy depends on patient’s understanding medication their adherence to treatment. The use short messages services (SMS) is a strategy that can be used educate patients, but there are no studies evaluating this intervention patients taking warfarin. Therefore, we aimed develop, implement, assess feasibility an using SMS primary care...
To analyze the clinical characteristics and outcomes of admitted patients with hospital- versus community-manifested COVID-19 to evaluate risk factors related mortality in first population.This retrospective cohort included consecutive adult COVID-19, hospitalized between March September 2020. The demographic data, characteristics, were extracted from medical records. Patients hospital-manifested (study group) those (control matched by propensity score model. Logistic regression models used...
Abstract Objective To develop and validate a rapid scoring system at hospital admission for predicting in-hospital mortality in patients hospitalized with coronavirus disease 19 (COVID-19), to compare this score other existing ones. Design Cohort study Setting The Brazilian COVID-19 Registry has been conducted 36 hospitals 17 cities. Logistic regression analysis was performed prediction model mortality, based on the 3978 that were admitted between March-July, 2020. then validated 1054 during...
Purpose: The purpose of this study was to update the current status on accuracy, reliability, and clinical outcomes establish barriers perspectives teledermatology strategies. Methods: MEDLINE searched identify relevant studies published until April 2017, supplemented by references from selected articles. Study search selection were performed independent reviewers. Quality assessment performed. Results: Of 2,525 articles retrieved, 45 manuscripts (44 studies, 7,033 patients) included in...
Abstract Introduction Fast and efficient assessment of prognosis coronavirus disease 19 (COVID-19) is needed to optimize the allocation health care human resources, empower early identification intervention patients at higher risk poor outcome. A proper tool may guide decision making, develop an appropriate plan for each patient. Although different scores have been proposed, majority them are limited due high bias, there a lack reliable prognostic prediction models. Purpose To validate easy...
Abstract Objective To provide a thorough comparative study among state-of-the-art machine learning methods and statistical for determining in-hospital mortality in COVID-19 patients using data upon hospital admission; to the reliability of predictions most effective by correlating probability outcome accuracy methods; investigate how explainable are produced methods. Materials Methods De-identified were obtained from positive 36 participating hospitals, March 1 September 30, 2020....
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,...
<sec> <title>BACKGROUND</title> Proper analysis and interpretation of health care data can significantly improve patient outcomes by enhancing services revealing the impacts new technologies treatments. Understanding substantial impact temporal shifts in these is crucial. For example, COVID-19 vaccination initially lowered mean age at-risk patients later changed characteristics those who died. This highlights importance understanding for assessing factors that affect outcomes. </sec>...
A lesão renal aguda (LRA) com necessidade de terapia substitutiva (TRS) em suas formas mais graves é uma complicação importante pacientes covid-19. O desenvolvimento um escore risco para predizer a TRS pode ser muito útil, melhor alocação recursos saúde. Assim, este estudo teve como objetivo desenvolver e validar predição TRS, hospitalizados covid-19, entre 2020 2022. Trata-se coorte retrospectiva multicêntrica consecutivos internados por confirmada laboratorialmente, 40 hospitais...