Felipe Ferraz Martins Graça Aranha
A5003297034- COVID-19 and healthcare impacts
- COVID-19 Impact on Reproduction
- Intensive Care Unit Cognitive Disorders
- Long-Term Effects of COVID-19
- Venous Thromboembolism Diagnosis and Management
- Maternal and fetal healthcare
- Mechanical Circulatory Support Devices
- COVID-19 Clinical Research Studies
- Pregnancy and preeclampsia studies
- Maternal Mental Health During Pregnancy and Postpartum
Universidade do Sul de Santa Catarina
2022
The assessment of clinical prognosis pregnant COVID-19 patients at hospital presentation is challenging, due to physiological adaptations during pregnancy. Our aim was assess the performance ABC
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 Around 5% of coronavirus disease 2019 (COVID-19) patients develop critical disease, with severe pneumonia and acute respiratory distress syndrome (ARDS). In these cases, extracorporeal membrane oxygenation (ECMO) may be considered when conventional therapy fails. This study aimed to assess the clinical characteristics in-hospital outcomes COVID-19 ARDS refractory standard lung-protective ventilation pronation treated ECMO support compare them who did not receive ECMO. Patients were...
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...
Background: 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 their potential complementarity.Methods: This substudy of a large Brazilian Registry included adult from 16 hospitals. Symptomatic confirmed objective imaging. LR analysis, tree-based boosting bagging were used the association variables...