LIM/39 - Laboratório de Processamento de Dados Biomédicos

URI Permanente desta comunidade

https://observatorio.fm.usp.br/handle/OPI/3750
O Laboratório de Processamento de Dados Biomédicos é ligado ao Departamento de Medicina Preventiva da Faculdade de Medicina da Universidade de São Paulo (FMUSP).

Linhas de pesquisa: epidemiologia ambiental; epidemiologia psiquiátrica; epidemiologia e estudos em AIDS e drogas; epidemiologia em serviços de saúde; avaliação em saúde; qualidade de vida do idoso; epidemiologia da mortalidade neo e perinatal; necessidade, práticas e profissionais em saúde em abordagem interdisciplinar; proteção social e saúde; estados cidadania e políticas de saúde.

Site oficial: http://limhc.fm.usp.br/portal/lim39-laboratorio-processamento-de-dados-biomedicos/

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article 0 Citação(ões) na Scopus
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, Geraldo
Introduction 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.
article 0 Citação(ões) na Scopus
Interview: Family agriculture and social control of health: active principles of public herbal medicines in Brazil: Maria José Martins de Souza
(2023) CARLESSI, P. C.; AZEREDO, M. V.
In this interview, Maria José Martins de Souza talks about the process of building the State Policy on Medicinal and Aromatic Plants, and about experiences from the past as a way of imagining other possible futures for public health in the State of São Paulo.
article 0 Citação(ões) na Scopus
Preface: Current experiences on herbal medicine and living pharmacies in São Paulo State: a multidisciplinary work
(2023) CARMONA, F.; CARLESSI, P. C.; CARNEVALE, R. C.; BARROS, N. F. de; PEREIRA, A. M. S.
article 0 Citação(ões) na Scopus
Interview: Between the local productive arrangement and the industrial pharmaceutical market: setbacks of the public supply of herbal medicines in Ribeirão Preto
(2023) CARLESSI, P. C.; SILVA, K. C.
In this interview, Lúcia Helena Terenciani Rodrigues Pereira presents the itinerary followed by Ribeirão Preto/SP when implementing the supply of herbal medicines in the municipality.
article 0 Citação(ões) na Scopus
Interview: Uncrossing paths in a Living Pharmacy implementation at Promissão/SP: Andresa Baja
(2023) ANGELIS, L. P. De; CARLESSI, P. C.
In this interview, Andresa Baja presents the path taken by the city of Promissão/SP in the implementation of the Live Pharmacy program.
article 1 Citação(ões) na Scopus
Screen use and sleep duration and quality at 15 years old: Cohort study
(2023) ECHEVARRIA, P.; DEL-PONTE, B.; TOVO-RODRIGUES, L.; MATIJASEVICH, A.; HALAL, C. S.; SANTOS, I. S.
Objective/background: The evidence on the association between screen use and sleep of adolescents is mainly based on studies about time watching television, with a few examining time using computers, videogames, and mobile devices. Our aim was to investigate the association between screen time for entertainment (watching TV, using computer, or playing games on tablets, smartphones, or videogame consoles) and sleep duration and self-reported sleep quality, among adolescents aged 15 years. Methods: With data from the 2004 Pelotas Birth Cohort, sleep duration was assessed with questions extracted from the Munich Chronotype Questionnaire and quality was self-reported. Adjusted β coefficients and prevalence ratios (PR) with (95% confidence intervals) were obtained, respectively, by linear and Poisson regressions. Results: 1,949 adolescents had information about screen time and sleep quality, and 1,851 about screen time and sleep duration. The median screen time was 4.5hs/24hs. The mean sleep duration was 7.6hs/24hs and the prevalence of bad sleep was 17.3% (15.7–19.0%). There was an inverse relationship between screen time and sleep duration. When compared with those with less than 2hs/24hs of screen time, adolescents with 6–8.8hs/24hs and ≥9hs experienced, respectively, 23.4 and 32.4 min reduction in sleep duration (β = -0.39; −0.62;-0.16 and β = -0.54; −0.77;-0.30). Adolescents with ≥9hs of screen time were 60% more likely to report bad sleep than those with less than 2hs/24hs (PR: 1.60; 1.10–2.32). Conclusions: The median time spent using screens was longer than recommended. Screen use for ≥6hs/24hs was associated with a shorter sleep duration, and ≥9hs/24hs with poor sleep quality.
article 0 Citação(ões) na Scopus
Development and Validation of Predictive Model for a Diagnosis of First Episode Psychosis Using the Multinational EU-GEI Case-control Study and Modern Statistical Learning Methods
(2023) AJNAKINA, O.; FADILAH, I.; QUATTRONE, D.; ARANGO, C.; BERARDI, D.; BERNARDO, M.; BOBES, J.; HAAN, L. De; DEL-BEN, C. M.; GAYER-ANDERSON, C.; STILO, S.; JONGSMA, H. E.; LASALVIA, A.; TOSATO, S.; LLORCA, P.-M.; MENEZES, P. R.; RUTTEN, B. P.; SANTOS, J. L.; SANJUáN, J.; SELTEN, J.-P.; SZöKE, A.; TARRICONE, I.; D'ANDREA, G.; TORTELLI, A.; VELTHORST, E.; JONES, P. B.; ROMERO, M. A.; CASCIA, C. La; KIRKBRIDE, J. B.; OS, J. Van; O'DONOVAN, M.; MORGAN, C.; FORTI, M. Di; MURRAY, R. M.; HUBBARD, K.; STAHL, D.
Background and Hypothesis: It is argued that availability of diagnostic models will facilitate a more rapid identification of individuals who are at a higher risk of first episode psychosis (FEP). Therefore, we developed, evaluated, and validated a diagnostic risk estimation model to classify individual with FEP and controls across six countries. Study Design: We used data from a large multi-center study encompassing 2627 phenotypically well-defined participants (aged 18-64 years) recruited from six countries spanning 17 research sites, as part of the European Network of National Schizophrenia Networks Studying Gene-Environment Interactions study. To build the diagnostic model and identify which of important factors for estimating an individual risk of FEP, we applied a binary logistic model with regularization by the least absolute shrinkage and selection operator. The model was validated employing the internal-external cross-validation approach. The model performance was assessed with the area under the receiver operating characteristic curve (AUROC), calibration, sensitivity, and specificity. Study Results: Having included preselected 22 predictor variables, the model was able to discriminate adults with FEP and controls with high accuracy across all six countries (rangesAUROC=0.84-0.86). Specificity (range=73.9-78.0%) and sensitivity (range=75.6-79.3%) were equally good, cumulatively indicating an excellent model accuracy; though, calibration slope for the diagnostic model showed a presence of some overfitting when applied specifically to participants from France, the UK, and The Netherlands. Conclusions: The new FEP model achieved a good discrimination and good calibration across six countries with different ethnic contributions supporting its robustness and good generalizability.
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Association of provider type with sexually transmitted infection (STI) occurrence and pre--exposure prophylaxis (PrEP) non-adherence among key adolescent populations in Brazil
(2024) BRUXVOORT, Katia; DELAY, Mac; DOURADO, Ines; FROEHLICH, Mallie; GRANGEIRO, Alexandre; HEFFRON, Renee; LEITE, Beo; LONG, Leann; MACCARTHY, Sarah; MAGNO, Laio
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Effect of D2R, NMDAR and CB1R genetic variants associated with cannabis use and childhood trauma in first-episode psychosis in a Brazilian population
(2023) LOUREIRO, C. M.; CORSI-ZUELLI, F.; FACHIM, H. A.; SHUHAMA, R.; MENEZES, P. R.; DALTON, C. F.; LOUZADA-JUNIOR, P.; BELANGERO, S. I. N.; COELI-LACCHINI, F. B.; REYNOLDS, G. P.; LACCHINI, R.; DEL-BEN, C. M.
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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