Mônica Aparecida de Paula de Sordi
A5090416581- Healthcare during COVID-19 Pandemic
- COVID-19 Impact on Reproduction
- COVID-19 Clinical Research Studies
- Machine Learning in Healthcare
- COVID-19 diagnosis using AI
- Pharmaceutical Economics and Policy
- Global Maternal and Child Health
- Health Systems, Economic Evaluations, Quality of Life
- COVID-19 and healthcare impacts
- Renal Diseases and Glomerulopathies
- Maternal Mental Health During Pregnancy and Postpartum
- Complement system in diseases
- Maternal and fetal healthcare
- Biotechnology and Related Fields
- Renal Transplantation Outcomes and Treatments
- Cerebrovascular and Carotid Artery Diseases
- COVID-19 and Mental Health
- Explainable Artificial Intelligence (XAI)
- Stroke Rehabilitation and Recovery
- Intellectual Property and Patents
- Healthcare Regulation
- Education during COVID-19 pandemic
- Long-Term Effects of COVID-19
- Acute Ischemic Stroke Management
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo
2024
Hospital das Clínicas da Universidade Federal de Minas Gerais
2023
Universidade Estadual Paulista (Unesp)
2021-2023
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...
Thrombotic Microangiopathy (TMA) is a syndrome characterized by the presence of anemia, thrombocytopenia and organ damage has multiple etiologies. The primary aim to develop an algorithm classify TMA (TMA-INSIGHT score).This was single-center retrospective cohort study including hospitalized patients with at single center. We included all consecutive diagnosed between 2012 2021. defined based on anemia (hemoglobin level < 10 g/dL) (platelet count 150,000/µL), signs hemolysis, damage....
RESUMO Objetivo: Avaliar a evolução da COVID-19 entre gestantes brasileiras, identificando-se os preditores sociodemográficos e clínicos relacionados à internação em unidade de terapia intensiva ao óbito. Método: Estudo transversal base populacional, realizado com banco dados secundários, partir do Sistema Informação Vigilância Epidemiológica Gripe. Realizou-se análise descritiva, seguida regressão linear múltipla resposta Poisson, adotando-se p crítico <0,05. Resultados: Identificaram-se...
To assess the evolution of COVID-19 among Brazilian pregnant women, identifying sociodemographic and clinical predictors related to admission ICU - Intensive Care Unit death.Cross-sectional, population-based study, carried out with a secondary database, based on data from Influenza Epidemiological Surveillance Information System. Descriptive analysis was performed, followed by multiple linear regression Poisson response, adopting critical p < 0.05.Intensive care rates 28.2% death 9.5% were...
The aim of this study was to evaluate the evolution COVID-19 related race/skin color among Brazilian pregnant women registered on Sistema de Informação Vigilância da Gripe (SIVEP Gripe). This is a population-based study, based data from SIVEP Gripe, with collected at two time points, August 2020 and February 2021. From complete database (575,935 cases 8, 1,048,576 January 2, 2021), weeks 13 32 (563,851 cases) 33 53 (469,241 were selected. We selected white, brown black skin final (1,884...
IntroduçãoA assistência a pacientes com doenças ultrarraras (com prevalência de menos 1 em cada 50 mil pessoas) no Sistema Único Saúde (SUS) representa um desafio para gestão da saúde pública, incluindo incorporação tecnologias específicas. O processo tomada decisão novas SUS é coordenado pela Comissão Nacional Incorporação Tecnologia (CONITEC). Além dos requisitos legais e administrativos envolvidos neste processo, há necessidade se seguir os princípios organizacionais constitucionais do...
Introdução Para várias agências de avaliação tecnologia em saúde nível mundial, o processo tomada decisão para a incorporação tecnologias específicas tratamento doenças ultrarraras tem sido um grande desafio. Essas dificuldades incluem estabelecer uma estrutura análise específica que considere diferentes aspectos desse tipo doença e especificidade das demandas. superar esse cenário, faz-se necessário reavaliação bases teóricas metodológicas orientam as ultrarraras. O objetivo deste estudo...
Introduction Incorporating technologies for ultrarare diseases (URD) poses challenges global health technology assessment (HTA) agencies. Difficulties include defining an analytical framework and establishing differentiated cost-effectiveness thresholds. The rise of technological innovations intensifies demands from healthcare professionals, media, the general population, placing pressure on systems in developing countries. Methods To analyze medicine costs submissions to Brazilian National...
Introduction The decision-making process for health technology assessment (HTA) in ultra-rare diseases faces a significant challenge agencies worldwide. This study sought to offer an analytical overview of the clinical evidence outlined recommendations Brazilian National Committee Health Technology Incorporation (Conitec) diseases. Methods Data were extracted from recommendation reports evaluated between 2012 and 2022. To classify disease as ultra-rare, epidemiological criterion or...
Introduction The decision-making process for incorporating technologies ultrarare diseases (URD) has been a challenge health technology assessment agencies worldwide. These challenges have presented in debates about the budget impact of URD. This is an important issue because there are other dimensions economic and social URD that require consideration. Methods Data were extracted from National Committee Health Technology Incorporation (CONITEC) reports (2012 to 2022) on treatment Brazil....
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....
Objetivo: identificar se grávidas pretas COVID-19 possuem maior necessidade de internação/hospitalização em Unidade Terapia Intensiva (UTI). Método: trata-se um estudo transversal, descritivo, exploratório do tipo base populacional baseado dados Sistema Vigilância Epidemiológica da Gripe (SIVEP-Gripe), coleta dividida entre agosto 2020 e fevereiro 2021. As variáveis resultado foram: admissão UTI. Foi realizada análise descritiva, bivariada pelo teste qui-quadrado, na final, as associações...