NELSON DA CRUZ GOUVEIA
Projetos de Pesquisa
Unidades Organizacionais
Departamento de Medicina Preventiva, Faculdade de Medicina - Docente
LIM/39 - Laboratório de Processamento de Dados Biomédicos, Hospital das Clínicas, Faculdade de Medicina - Líder
LIM/39 - Laboratório de Processamento de Dados Biomédicos, Hospital das Clínicas, Faculdade de Medicina - Líder
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Resultados de Busca
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- Green Areas and PM2,5 exposure could be associated with Asthma and COPD?(2023) ALMEIDA, Francine Maria; MOREIRA, Tiana Carla Lopes; OLIVEIRA, Lucas Miranda; RIGHETTI, Renato Fraga; LOPES, Fernanda Degobbi Tenorio Quirino Santos; ALENCAR, Airlane P.; GOUVEIA, Nelson; MAUAD, Thais; LOTUFO, Paulo A.; BENSENOR, Isabela; SANTOS, Itamar Souza; TIBERIO, Iolanda Fatima Lopes Calvo
- Data-driven, cross-disciplinary collaboration: lessons learned at the largest academic health center in Latin America during the COVID-19 pandemic(2024) RITTO, Ana Paula; ARAUJO, Adriana Ladeira de; CARVALHO, Carlos Roberto Ribeiro de; SOUZA, Heraldo Possolo De; FAVARETTO, Patricia Manga e Silva; SABOYA, Vivian Renata Boldrim; GARCIA, Michelle Louvaes; KULIKOWSKI, Leslie Domenici; KALLAS, Esper Georges; PEREIRA, Antonio Jose Rodrigues; COBELLO JUNIOR, Vilson; SILVA, Katia Regina; ABDALLA, Eidi Raquel Franco; SEGURADO, Aluisio Augusto Cotrim; SABINO, Ester Cerdeira; RIBEIRO JUNIOR, Ulysses; FRANCISCO, Rossana Pulcineli Vieira; MIETHKE-MORAIS, Anna; LEVIN, Anna Sara Shafferman; SAWAMURA, Marcio Valente Yamada; FERREIRA, Juliana Carvalho; SILVA, Clovis Artur; MAUAD, Thais; GOUVEIA, Nelson da Cruz; LETAIF, Leila Suemi Harima; BEGO, Marco Antonio; BATTISTELLA, Linamara Rizzo; DUARTE, Alberto Jose da Silva; SEELAENDER, Marilia Cerqueira Leite; MARCHINI, Julio; FORLENZA, Orestes Vicente; ROCHA, Vanderson Geraldo; MENDES-CORREA, Maria Cassia; COSTA, Silvia Figueiredo; CERRI, Giovanni Guido; BONFA, Eloisa Silva Dutra de Oliveira; CHAMMAS, Roger; BARROS FILHO, Tarcisio Eloy Pessoa de; BUSATTO FILHO, GeraldoIntroduction The COVID-19 pandemic has prompted global research efforts to reduce infection impact, highlighting the potential of cross-disciplinary collaboration to enhance research quality and efficiency.Methods At the FMUSP-HC academic health system, we implemented innovative flow management routines for collecting, organizing and analyzing demographic data, COVID-related data and biological materials from over 4,500 patients with confirmed SARS-CoV-2 infection hospitalized from 2020 to 2022. This strategy was mainly planned in three areas: organizing a database with data from the hospitalizations; setting-up a multidisciplinary taskforce to conduct follow-up assessments after discharge; and organizing a biobank. Additionally, a COVID-19 curated collection was created within the institutional digital library of academic papers to map the research output.Results Over the course of the experience, the possible benefits and challenges of this type of research support approach were identified and discussed, leading to a set of recommended strategies to enhance collaboration within the research institution. Demographic and clinical data from COVID-19 hospitalizations were compiled in a database including adults and a minority of children and adolescents with laboratory confirmed COVID-19, covering 2020-2022, with approximately 350 fields per patient. To date, this database has been used in 16 published studies. Additionally, we assessed 700 adults 6 to 11 months after hospitalization through comprehensive, multidisciplinary in-person evaluations; this database, comprising around 2000 fields per subject, was used in 15 publications. Furthermore, thousands of blood samples collected during the acute phase and follow-up assessments remain stored for future investigations. To date, more than 3,700 aliquots have been used in ongoing research investigating various aspects of COVID-19. Lastly, the mapping of the overall research output revealed that between 2020 and 2022 our academic system produced 1,394 scientific articles on COVID-19.Discussion Research is a crucial component of an effective epidemic response, and the preparation process should include a well-defined plan for organizing and sharing resources. The initiatives described in the present paper were successful in our aim to foster large-scale research in our institution. Although a single model may not be appropriate for all contexts, cross-disciplinary collaboration and open data sharing should make health research systems more efficient to generate the best evidence.
- Clinical, sociodemographic and environmental factors impact post-COVID-19 syndrome(2022) FERREIRA, Juliana Carvalho; MOREIRA, Tiana C. Lopes; ARAUJO, Adriana Ladeira de; IMAMURA, Marta; DAMIANO, Rodolfo F.; GARCIA, Michelle L.; SAWAMURA, Marcio V. Y.; PINNA, Fabio R.; GUEDES, Bruno F.; GONCALVES, Fabio A. Rodrigues; MANCINI, Marcio; BURDMANN, Emmanuel A.; SILVA FILHO, Demostenes Ferreira da; POLIZEL, Jefferson Lordello; BENTO, Ricardo F.; ROCHA, Vanderson; NITRINI, Ricardo; SOUZA, Heraldo Possolo de; LEVIN, Anna S.; KALLAS, Esper G.; FORLENZA, Orestes V.; BUSATTO, Geraldo F.; BATISTELLA, Linamara R.; CARVALHO, Carlos R. Ribeiro de; MAUAD, Thais; GOUVEIA, NelsonBackground Sociodemographic and environmental factors are associat-ed with incidence, severity, and mortality of COVID-19. However, little is known about the role of such factors in persisting symptoms among re-covering patients. We designed a cohort study of hospitalized COVID-19 survivors to describe persistent symptoms and identify factors associated with post-COVID-19 syndrome. Methods We included patients hospitalized between March to August 2020 who were alive six months after hospitalization. We collected indi-vidual and clinical characteristics during hospitalization and at follow-up assessed ten symptoms with standardized scales, 19 yes/no symptoms, a functional status and a quality-of-life scale and performed four clinical tests. We examined individual exposure to greenspace and air pollution and considered neighbourhood acute accent s population density and socioeconomic conditions as contextual factors in multilevel regression analysis. Results We included 749 patients with a median follow-up of 200 (IQR = 185-235) days, and 618 (83%) had at least one of the ten symptoms measured with scales. Pain (41%), fatigue (38%) and posttraumatic stress disorder (35%) were the most frequent. COVID-19 severity, comorbidities, BMI, female sex, younger age, and low socioeconomic position were associ-ated with different symptoms. Exposure to ambient air pollution was asso-ciated with higher dyspnoea and fatigue scores and lower functional status. Conclusions We identified a high frequency of persistent symptoms among COVID-19 survivors that were associated with clinical, sociodemographic, and environmental variables. These findings indicate that most patients re-covering from COVID-19 will need post-discharge care, and an additional burden to health care systems, especially in LMICs, should be expected.
- Effects of Air Pollution in S($)over-tilde-$ao Paulo on Asthma and COPD symptoms(2022) ALMEIDA, F. M.; MOREIRA, T. C. L.; OLIVEIRA, L. M.; RIGHETTI, R. F.; LOPES, F. D. T. Q. S.; ALENCAR, A. P.; MAUAD, T.; GOUVEIA, N. C.; LOTUFO, P. A.; BENSENOR, I.; SANTOS, I. S.; TIBERIO, I. F. L. C.