MARLON JULIANO ROMERO ALIBERTI

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Instituto Central, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/66, Hospital das Clínicas, Faculdade de Medicina

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  • conferenceObject
    Fog ahead: delirium and post-discharge cognitive impairment in severe COVID-19.
    (2020) AVELINO-SILVA, T.; GARCEZ, F.; DIAS, M.; JACOB-FILHO, W.; ALIBERTI, M.
  • conferenceObject
    Motoric Cognitive Risk Syndrome and Cognition: The Influence of Depression
    (2020) ALIBERTI, J.; SERRAGLIO, A.; ALIBERTI, M.
  • article 3 Citação(ões) na Scopus
    Empowering older adults and their communities to cope with depression in resource-limited settings
    (2022) ALIBERTI, Marlon Juliano Romero; SUEMOTO, Claudia Kimie
  • conferenceObject
    Physical Frailty and the Risk of Dementia in a Longitudinal Cohort of Older Adults
    (2019) ALIBERTI, M.; COVINSKY, K.; CENZER, I. S.
  • conferenceObject
    Pre-estimating subsets, a new approach for unavailable predictors in prognostic modeling
    (2019) ALIBERTI, M.; LEE, S.; SMITH, A. K.; RODRIGUEZ, A.; BOSCARDIN, J.
  • article 0 Citação(ões) na Scopus
    Risk and protective factors for dementia: epidemiological evidence and windows of opportunity
    (2022) SUEMOTO, C. K.; NITRINI, R.; GRINBERG, L. T.; LEITE, R. E. P.; PASQUALLUCCI, C. A.; BERTOLA, L.; VIDAL-FERREIRA, N.; SZLEFJ, C.; CARAMELLI, P.; BENSENOR, I. M.; LOTUFO, P. A.; ALIBERTI, M. J. R.; FERRI, C. P.; JACOB-FILHO, W.
    Background: Most people with dementia already live in low- to middle-income countries (LMIC). However, most evidence regarding dementia prevention comes from high-income countries that have different socioeconomic status (SES) and risk factors prevalence than LMIC. In this session, we will present results on risk and protective factors for dementia from the Longitudinal Study of Adult Health (ELSA-Brasil), the Brazilian Longitudinal Study of Aging (ELSI-Brazil), and the Brazilian Biobank for Aging Studies (BAS). Method: The ELSA-Brasil follows 15,105 public servants since 2008-10. The ELSI-Brazil is a nationally representative study with 9,412 adults aged 50 years and older, who were enrolled in 2015-16. The BAS is a neuropathology study that started in 2004 and is the largest brain bank in Latin America with a collection of 1,441 brains. The focus of this presentation will be on the associations of education, SES, and cardiovascular factors with dementia using data from these three studies. Result: In the BAS, 77% of the sample has less than 5 years of education and 56% unskilled occupations. Compared to the group without education, those with formal education had better cognitive performance (1-4 years: β = -0.99, 95%CI = –1.85; –0.14, p = 0.02; ≥5 years: = –1.42, 95% CI = –2.47; –0.38, p = 0.008). On the other hand, occupation complexity and demands were unrelated to cognition. Similarly, we showed that education and early-life SES were the main contributors to cognitive performance in the ELSA-Brasil, while later SES had a lower influence on cognitive scores. Cardiovascular factors are also important contributors to brain health. Ideal vascular health was related to better cognitive function in the ELSA-Brasil. Participants with intermediate (β = 0.064, 95%CI = 0.033; 0.096) and optimal health (β = 0.108, 95%CI = 0.052; 0.164) had better cognitive z-scores. Moreover, carotid artery atherosclerosis evaluated by morphometric measurements was related to cognitive impairment in BAS and with cognitive decline in the ELSA-Brasil after 8 years of follow-up (β = -0.028, 95%CI = -0.036; -0.020, p<0.001). Finally, hypertension was related to worse cognition (β = -0.09; 95%CI = -0.15, -0.04; p = 0.001) in ELSI-Brazil, mainly in non-frail participants. Conclusion: Studies from LMIC regarding dementia risk factors are essential to implement tailored public policies for dementia primary prevention. © 2022 the Alzheimer's Association.
  • article 5 Citação(ões) na Scopus
    Dissipating the fog: Cognitive trajectories and risk factors 1 year after COVID-19 hospitalization
    (2023) GONCALVES, Natalia Gomes; ALIBERTI, Marlon Juliano Romero; BERTOLA, Laiss; AVELINO-SILVA, Thiago; DIAS, Murilo Bacchini; APOLINARIO, Daniel; BUSATTO, Geraldo; FORLENZA, Orestes; NITRINI, Ricardo; BRUCKI, Sonia Maria Dozzi; BRUNONI, Andre Russowsky; VIDAL, Kallene Summer Moreira; JACOB-FILHO, Wilson; SUEMOTO, Claudia Kimie
    Introduction: Cognitive impairment is common after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. However, associations between post-hospital discharge risk factors and cognitive trajectories have not been explored. Methods: A total of 1105 adults (mean age SD 64.9 9.9 years, 44% women, 63% White) with severe coronavirus disease 2019 (COVID-19) were evaluated for cognitive function 1 year after hospital discharge. Scores from cognitive tests were harmonized, and clusters of cognitive impairment were defined using sequential analysis. Results: Three groups of cognitive trajectories we re observed during the follow-up: no cognitive impairment, initial short-term cognitive impairment, and long-term cognitive impairment. Predictors of cognitive decline after COVID-19 were older age (beta = -0.013, 95% CI = -0.023;-0.003), female sex (beta = -0.230, 95% CI = -0.413;-0.047), previous dementia diagnosis or substantial memory complaints (beta = -0.606, 95% CI = -0.877;-0.335), frailty before hospitalization (beta = -0.191, 95% CI = -0.264;-0.119), higher platelet count (beta = -0.101, 95% CI = -0.185;-0.018), and delirium (beta = -0.483, 95% CI = -0.724;-0.244). Post-discharge predictors included hospital readmissions and frailty. Discussion: Cognitive impairment was common and the patterns of cognitive trajectories depended on sociodemographic, in-hospital, and post-hospitalization predictors. Highlights Cognitive impairment after coronavirus disease 2019 (COVID-19) hospital discharge was associated with higher age, less education, delirium during hospitalization, a higher number of hospitalizations post discharge, and frailty before and after hospitalization. Frequent cognitive evaluations for 12-month post-COVID-19 hospitalization showed three possible cognitive trajectories: no cognitive impairment, initial short-term impairment, and long-term impairment. This study highlights the importance of frequent cognitive testing to determine patterns of COVID-19 cognitive impairment, given the high frequency of incident cognitive impairment 1 year after hospitalization.
  • article 0 Citação(ões) na Scopus
    Development and validation of the MMCD score to predict kidney replacement therapy in COVID-19 patients (vol 20, 324, 2022)
    (2023) FIGUEIREDO, Flavio de Azevedo; RAMOS, Lucas Emanuel Ferreira; SILVA, Rafael Tavares; PONCE, Daniela; CARVALHO, Rafael Lima Rodrigues de; SCHWARZBOLD, Alexandre Vargas; MAURILIO, Amanda de Oliveira; SCOTTON, Ana Luiza Bahia Alves; GARBINI, Andresa Fontoura; FARACE, Barbara Lopes; GARCIA, Barbara Machado; SILVA, Carla Thais Candida Alves da; CIMINI, Christiane Correa Rodrigues; CARVALHO, Cintia Alcantara de; DIAS, Cristiane dos Santos; SILVEIRA, Daniel Vitorio; MANENTI, Euler Roberto Fernandes; CENCI, Evelin Paola de Almeida; ANSCHAU, Fernando; ARANHA, Fernando Graca; AGUIAR, Filipe Carrilho de; BARTOLAZZI, Frederico; VIETTA, Giovanna Grunewald; NASCIMENTO, Guilherme Fagundes; NOAL, Helena Carolina; DUANI, Helena; VIANNA, Heloisa Reniers; GUIMARAES, Henrique Cerqueira; ALVARENGA, Joice Coutinho de; CHATKIN, Jose Miguel; MORAIS, Julia Drumond Parreiras de; MACHADO-RUGOLO, Juliana; RUSCHEL, Karen Brasil; MARTINS, Karina Paula Medeiros Prado; MENEZES, Luanna Silva Monteiro; COUTO, Luciana Siuves Ferreira; CASTRO, Luis Cesar de; NASI, Luiz Antonio; CABRAL, Maderson Alvares de Souza; FLORIANI, Maiara Anschau; SOUZA, Maira Dias; SOUZA-SILVA, Maira Viana Rego; CARNEIRO, Marcelo; GODOY, Mariana Frizzo de; BICALHO, Maria Aparecida Camargos; LIMA, Maria Clara Pontello Barbosa; ALIBERTI, Marlon Juliano Romero; NOGUEIRA, Matheus Carvalho Alves; MARTINS, Matheus Fernandes Lopes; GUIMARAES-JUNIOR, Milton Henriques; SAMPAIO, Natalia da Cunha Severino; OLIVEIRA, Neimy Ramos de; ZIEGELMANN, Patricia Klarmann; ANDRADE, Pedro Guido Soares; ASSAF, Pedro Ledic; MARTELLI, Petronio Jose de Lima; DELFINO-PEREIRA, Polianna; MARTINS, Raphael Castro; MENEZES, Rochele Mosmann; FRANCISCO, Saionara Cristina; ARAUJO, Silvia Ferreira; OLIVEIRA, Talita Fischer; OLIVEIRA, Thainara Conceicao de; SALES, Thais Lorenna Souza; AVELINO-SILVA, Thiago Junqueira; RAMIRES, Yuri Carlotto; PIRES, Magda Carvalho; MARCOLINO, Milena Soriano
  • article 2 Citação(ões) na Scopus
    Prediction of intensive care admission and hospital mortality in COVID-19 patients using demographics and baseline laboratory data
    (2023) AVELINO-SILVA, Vivian I.; AVELINO-SILVA, Thiago J.; ALIBERTI, Marlon J. R.; FERREIRA, Juliana C.; COBELLO JUNIOR, Vilson; SILVA, Katia R.; POMPEU, Jose E.; ANTONANGELO, Leila; MAGRI, Marcello M.; BARROS FILHO, Tarcisio E. P.; SOUZA, Heraldo P.; KALLAS, Esper G.
    Introduction: Optimized allocation of medical resources to patients with COVID-19 has been a critical concern since the onset of the pandemic.Methods: In this retrospective cohort study, the authors used data from a Brazilian tertiary university hospital to explore predictors of Intensive Care Unit (ICU) admission and hospital mortality in patients admitted for COVID19. Our primary aim was to create and validate prediction scores for use in hospitals and emergency departments to aid clinical decisions and resource allocation. Results: The study cohort included 3,022 participants, of whom 2,485 were admitted to the ICU; 1968 survived, and 1054 died in the hospital. From the complete cohort, 1,496 patients were randomly assigned to the derivation sample and 1,526 to the validation sample. The final scores included age, comorbidities, and baseline laboratory data. The areas under the receiver operating characteristic curves were very similar for the derivation and validation samples. Scores for ICU admission had a 75% accuracy in the validation sample, whereas scores for death had a 77% accuracy in the validation sample. The authors found that including baseline flu-like symptoms in the scores added no significant benefit to their accuracy. Furthermore, our scores were more accurate than the previously published NEWS-2 and 4C Mortality Scores.Discussion and conclusions: The authors developed and validated prognostic scores that use readily available clinical and laboratory information to predict ICU admission and mortality in COVID-19. These scores can become valuable tools to support clinical decisions and improve the allocation of limited health resources.
  • article 6 Citação(ões) na Scopus
    The long and winding road of COVID-19 in survivors of hospitalisation: Symptoms trajectory and predictors of long COVID
    (2023) DIAS, Murilo B.; MEDEIROS, Ana Paula V.; MELO, Sarah S. de; FONSECA, Cecilia S.; JACOB-FILHO, Wilson; AVELINO-SILVA, Thiago J.; ALIBERTI, Marlon J. R.