Mariana Frizzo de Godoy

ORCID: 0000-0002-6631-8826
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Research Areas
  • COVID-19 Clinical Research Studies
  • COVID-19 and healthcare impacts
  • COVID-19 diagnosis using AI
  • Long-Term Effects of COVID-19
  • Dialysis and Renal Disease Management
  • Sepsis Diagnosis and Treatment
  • Machine Learning in Healthcare
  • Muscle and Compartmental Disorders
  • Intensive Care Unit Cognitive Disorders
  • Respiratory Support and Mechanisms
  • Acute Kidney Injury Research
  • COVID-19 and Mental Health
  • COVID-19 Impact on Reproduction
  • Vitamin D Research Studies
  • Data Stream Mining Techniques
  • Time Series Analysis and Forecasting
  • Thyroid Disorders and Treatments
  • COVID-19 epidemiological studies
  • Neurological and metabolic disorders
  • Metabolism and Genetic Disorders
  • Anomaly Detection Techniques and Applications
  • Explainable Artificial Intelligence (XAI)
  • Palliative Care and End-of-Life Issues
  • Non-Invasive Vital Sign Monitoring
  • Healthcare Decision-Making and Restraints

Hospital São Lucas da PUCRS
2021-2024

Pontifícia Universidade Católica do Rio Grande do Sul
2022-2023

Milena Soriano Marcolino Magda Carvalho Pires Lucas Emanuel Ferreira Ramos Rafael T. Silva Luana Martins Oliveira and 95 more Rafael Lima Rodrigues de Carvalho Rodolfo Lucas Silva Mourato Adrián Sánchez‐Montalvá Berta Raventós Fernando Anschau José Miguel Chatkin Matheus Carvalho Alves Nogueira Milton Henriques Guimarães Júnior Giovanna Grünewald Vietta Helena Duani Daniela Ponce Patrícia Klarmann Ziegelmann Luís César de Castro Karen Brasil Ruschel Christiane Corrêa Rodrigues Cimini Saionara Cristina Francisco Maiara Anschau Floriani Guilherme Fagundes Nascimento Bárbara Lopes Farace Luanna S. Monteiro Maíra Viana Rego Souza-Silva Thaís Lorenna Souza Sales Karina Paula Medeiros Prado Martins Israel Júnior Borges do Nascimento Tatiani Oliveira Fereguetti Daniel T. M. O. Ferrara Fernando Antônio Botoni Ana Paula Beck da Silva Etges Alexandre Vargas Schwarzbold Amanda O. Maurílio Ana Luiza Bahia Alves Scotton André P. Weber André S. Costa Andressa Barreto Glaeser Angélica Aparecida Coelho Madureira Angelinda Rezende Bhering Bruno Mateus de Castro Carla Thais C.A. da Silva Carolina Marques Ramos Caroline Danubia Gomes Cíntia Alcântara de Carvalho Daniel Vitório Silveira Edilson Cezar Elayne Crestani Pereira Emanuele Marianne Souza Kroger Felipe Barbosa Vallt Fernanda Barbosa Lucas Fernando Graça Aranha Frederico Bartolazzi Gabriela Petry Crestani Gisele Alsina Nader Bastos Glícia Cristina de Castro Madeira Helena Carolina Noal Heloísa Reniers Vianna Henrique Cerqueira Guimarães Isabela Moraes Gomes Israel Molina Joanna d’Arc Lyra Batista Joice Coutinho de Alvarenga Júlia di Sabatino Santos Guimarães Júlia Drumond Parreiras de Morais Juliana Machado-Rugolo Karen Cristina J.R. Pontes Kauane Aline Maciel dos Santos Leonardo Seixas de Oliveira Lílian Santos Pinheiro Liliane Souto Pacheco Lucas de Deus Sousa Luciana Siuves Ferreira Couto Luciane Kopittke Luis Cesar Souto de Moura Luísa Elem Almeida Santos Máderson A.S. Cabral Maíra Dias Souza Marcela Gonçalves Trindade Tofani Marcelo Carneiro Maria Angélica Pires Ferreira Maria Aparecida Camargos Bicalho Maria Clara Pontello Barbosa Lima Mariana Frizzo de Godoy Marília Mastrocolla de Almeida Cardoso Meire Pereira de Figueiredo Natália C.S. Sampaio Natália L. Rangel Natália T. Crespo Neimy Ramos de Oliveira Pedro Ledic Assaf Petrônio José de Lima Martelli Rafaela Santos Charão de Almeida Raphael Castro Martins Raquel Lutkmeier Reginaldo Aparecido Valácio Renan Goulart Finger Ricardo Bertoglio Cardoso Roberta Pozza

10.1016/j.ijid.2021.07.049 article EN cc-by-nc-nd International Journal of Infectious Diseases 2021-07-24

Abstract Background Although dementia has emerged as an important risk factor for severe SARS-CoV-2 infection, results on COVID-19-related complications and mortality are not consistent. We examined the clinical presentations outcomes of COVID-19 in a multicentre cohort in-hospital patients, comparing those with without dementia. Methods This retrospective observational study comprises laboratory-confirmed patients aged ≥ 60 years admitted to 38 hospitals from 19 cities Brazil. Data were...

10.1186/s12877-023-04494-w article EN cc-by BMC Geriatrics 2024-01-05
Bruno Barbosa Miranda de Paiva Polianna Delfino-Pereira Cláudio Moisés Valiense de Andrade Virgínia Mara Reis Gomes Maíra Viana Rego Souza-Silva and 93 more Karina Paula Medeiros Prado Martins Thaís Lorenna Souza Sales Rafael Lima Rodrigues de Carvalho Magda Carvalho Pires Lucas Emanuel Ferreira Ramos Rafael Tavares Silva Alessandra de Freitas Martins Vieira Aline Gabrielle Sousa Nunes Alzira de Oliveira Jorge Amanda de Oliveira Maurílio Ana Luiza Bahia Alves Scotton Carla Thaís Cândida Alves da Silva Christiane Corrêa Rodrigues Cimini Daniela Ponce Elayne Crestani Pereira Euler Roberto Fernandes Manenti Fernanda d’Athayde Rodrigues Fernando Anschau Fernando Antônio Botoni Frederico Bartolazzi Genna Maira Santos Grizende Helena Carolina Noal Helena Duani Isabela Moraes Gomes Jamille Hemétrio Salles Martins Costa Júlia di Sabatino Santos Guimarães Júlia Teixeira Tupinambás Juliana Machado-Rugolo Joanna d’Arc Lyra Batista Joice Coutinho de Alvarenga José Miguel Chatkin Karen Brasil Ruschel Liege Barella Zandoná Lílian Santos Pinheiro Luanna Silva Monteiro Menezes Lucas Moysés Carvalho de Oliveira Luciane Kopittke Luisa Argolo Assis Luiza Margoto Marques Magda César Raposo Maiara Anschau Floriani Maria Aparecida Camargos Bicalho Matheus Carvalho Alves Nogueira Neimy Ramos de Oliveira Patrícia Klarmann Ziegelmann Pedro Gibson Paraíso Petrônio José de Lima Martelli Roberta Senger Rochele Mosmann Menezes Saionara Cristina Francisco Silvia Ferreira Araújo Tatiana Kurtz Tatiani Oliveira Fereguetti Thainara Conceição de Oliveira Yara Cristina Neves Marques Barbosa Ribeiro Yuri Carlotto Ramires Maria Clara Pontello Barbosa Lima Marcelo Carneiro Adriana Falangola Benjamin Bezerra Alexandre Vargas Schwarzbold André Soares de Moura Costa Bárbara Lopes Farace Daniel Vitório Silveira Evelin Paola de Almeida Cenci Fernanda Barbosa Lucas Fernando Graça Aranha Gisele Alsina Nader Bastos Giovanna Grünewald Vietta Guilherme Fagundes Nascimento Heloísa Reniers Vianna Henrique Cerqueira Guimarães Júlia Drumond Parreiras de Morais Leila Beltrami Moreira Leonardo Seixas de Oliveira Lucas de Deus Sousa Luciano de Souza Viana Máderson Alvares de Souza Cabral Maria Angélica Pires Ferreira Mariana Frizzo de Godoy Meire Pereira de Figueiredo Milton Henriques Guimarães Júnior Mônica Aparecida de Paula de Sordi Natália da Cunha Severino Sampaio Pedro Ledic Assaf Raquel Lutkmeier Reginaldo Aparecido Valácio Renan Goulart Finger Rufino de Freitas Silvana Mangeon Meirelles Guimarães Talita Fischer Oliveira Thulio Henrique Oliveira Diniz Marcos André Gonçalves Milena Soriano Marcolino

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...

10.1038/s41598-023-28579-z article EN cc-by Scientific Reports 2023-03-01
Flávio de Azevedo Figueiredo Lucas Emanuel Ferreira Ramos Rafael Tavares Silva Daniela Ponce Rafael Lima Rodrigues de Carvalho and 63 more Alexandre Vargas Schwarzbold Amanda de Oliveira Maurílio Ana Luiza Bahia Alves Scotton Andresa Fontoura Garbini Bárbara Lopes Farace Bárbara Machado Garcia Carla Thaís Cândida Alves da Silva Christiane Corrêa Rodrigues Cimini Cíntia Alcântara de Carvalho Cristiane dos Santos Dias Daniel Vitório Silveira Euler Roberto Fernandes Manenti Evelin Paola de Almeida Cenci Fernando Anschau Fernando Graça Aranha Filipe Carrilho de Aguiar Frederico Bartolazzi Giovanna Grünewald Vietta Guilherme Fagundes Nascimento Helena Carolina Noal Helena Duani Heloísa Reniers Vianna Henrique Cerqueira Guimarães Joice Coutinho de Alvarenga José Miguel Chatkin Júlia Drumond Parreiras de Morais Juliana Machado-Rugolo Karen Brasil Ruschel Karina Paula Medeiros Prado Martins Luanna Silva Monteiro Menezes Luciana Siuves Ferreira Couto Luís César de Castro Luiz Antônio Nasi Máderson Alvares de Souza Cabral Maiara Anschau Floriani Maíra Dias Souza Maíra Viana Rego Souza-Silva Marcelo Carneiro Mariana Frizzo de Godoy Maria Aparecida Camargos Bicalho Maria Clara Pontello Barbosa Lima Márlon Juliano Romero Aliberti Matheus Carvalho Alves Nogueira Matheus Fernandes Lopes Martins Milton Henriques Guimarães Júnior Natália da Cunha Severino Sampaio Neimy Ramos de Oliveira Patrícia Klarmann Ziegelmann Pedro Guido Soares Andrade Pedro Ledic Assaf Petrônio José de Lima Martelli Polianna Delfino-Pereira Raphael Castro Martins Rochele Mosmann Menezes Saionara Cristina Francisco Silvia Ferreira Araújo Talita Fischer Oliveira Thainara Conceição de Oliveira Thaís Lorenna Souza Sales Thiago Junqueira Avelino‐Silva Yuri Carlotto Ramires Magda Carvalho Pires Milena Soriano Marcolino

Abstract Background Acute kidney injury (AKI) is frequently associated with COVID-19, and the need for replacement therapy (KRT) considered an indicator of disease severity. This study aimed to develop a prognostic score predicting KRT in hospitalised COVID-19 patients, assess incidence AKI requirement. Methods part multicentre cohort, Brazilian Registry. A total 5212 adult patients were included between March/2020 September/2020. Variable selection was performed using generalised additive...

10.1186/s12916-022-02503-0 article EN cc-by BMC Medicine 2022-09-02
Daniella Nunes Pereira Letícia Ferreira Gontijo Silveira Milena Maria Moreira Guimarães Carísi Anne Polanczyk Aline Gabrielle Sousa Nunes and 59 more André Soares de Moura Costa Bárbara Lopes Farace Christiane Corrêa Rodrigues Cimini Cíntia Alcântara de Carvalho Daniela Ponce Eliane Würdig Roesch Euler Roberto Fernandes Manenti Fernanda Barbosa Lucas Fernanda d’Athayde Rodrigues Fernando Anschau Fernando Graça Aranha Frederico Bartolazzi Giovanna Grünewald Vietta Guilherme Fagundes Nascimento Helena Duani Heloísa Reniers Vianna Henrique Cerqueira Guimarães Jamille Hemétrio Salles Martins Costa Joanna d’Arc Lyra Batista Joice Coutinho de Alvarenga José Miguel Chatkin Júlia Drumond Parreiras de Morais Juliana Machado-Rugolo Karen Brasil Ruschel Lílian Santos Pinheiro Luanna Silva Monteiro Menezes Luciana Siuves Ferreira Couto Luciane Kopittke Luís César de Castro Luiz Antônio Nasi Máderson Alvares de Souza Cabral Maiara Anschau Floriani Maíra Dias Souza Marcelo Carneiro Maria Aparecida Camargos Bicalho Mariana Frizzo de Godoy Matheus Carvalho Alves Nogueira Milton Henriques Guimarães Júnior Natália da Cunha Severino Sampaio Neimy Ramos de Oliveira Pedro Ledic Assaf Renan Goulart Finger Roberta Xavier Campos Rochele Mosmann Menezes Saionara Cristina Francisco Samuel Penchel Alvarenga Silvana Mangeon Mereilles Guimarães Silvia Ferreira Araújo Talita Fischer Oliveira Thulio Henrique Oliveira Diniz Yuri Carlotto Ramires Evelin Paola de Almeida Cenci Thainara Conceição de Oliveira Alexandre Vargas Schwarzbold Patrícia Klarmann Ziegelmann Roberta Pozza Caroline Scherer Carvalho Magda Carvalho Pires Milena Soriano Marcolino

It is not clear whether previous thyroid diseases influence the course and outcomes of COVID-19.The study a part multicentric cohort patients with confirmed COVID-19 diagnosis from 37 hospitals. Matching for age, sex, number comorbidities, hospital was performed paired analysis.Of 7,762 COVID-19, 526 had previously diagnosed hypothyroidism were matched controls. The median age 70 years, 68.3% females. prevalence comorbidities similar, except coronary chronic kidney that higher in group...

10.1016/j.ijid.2022.01.016 article EN cc-by-nc-nd International Journal of Infectious Diseases 2022-01-19

Background Proper analysis and interpretation of health care data can significantly improve patient outcomes by enhancing services revealing the impacts new technologies treatments. Understanding substantial impact temporal shifts in these is crucial. For example, COVID-19 vaccination initially lowered mean age at-risk patients later changed characteristics those who died. This highlights importance understanding for assessing factors that affect outcomes. Objective study aims to propose...

10.2196/54246 article EN cc-by JMIR Medical Informatics 2024-07-07

10.1016/j.jns.2022.120485 article EN Journal of the Neurological Sciences 2022-11-09
Maíra Viana Rego Souza-Silva Patrícia Klarmann Ziegelmann Vandack Nobre Virgínia Mara Reis Gomes Ana Paula Beck da Silva Etges and 82 more Alexandre Vargas Schwarzbold Aline Gabrielle Sousa Nunes Amanda de Oliveira Maurílio Ana Luiza Bahia Alves Scotton André Soares de Moura Costa Andressa Barreto Glaeser Bárbara Lopes Farace Bruno Nunes Ribeiro Carolina Marques Ramos Christiane Corrêa Rodrigues Cimini Cíntia Alcântara de Carvalho Claudete Rempel Daniel Vitório Silveira Daniela dos Reis Carazai Daniela Ponce Elayne Crestani Pereira Emanuele Marianne Souza Kroger Euler Roberto Fernandes Manenti Evelin Paola de Almeida Cenci Fernanda Barbosa Lucas Fernanda Costa dos Santos Fernando Anschau Fernando Antônio Botoni Fernando Graça Aranha Filipe Carrilho de Aguiar Frederico Bartolazzi Gabriela Petry Crestani Giovanna Grünewald Vietta Guilherme Fagundes Nascimento Helena Carolina Noal Helena Duani Heloísa Reniers Vianna Henrique Cerqueira Guimarães Joice Coutinho de Alvarenga José Miguel Chatkin Júlia Drumond Parreiras de Morais Juliana da Silva Nogueira Carvalho Juliana Machado-Rugolo Karen Brasil Ruschel Lara de Barros Wanderley Gomes Leonardo Seixas de Oliveira Liege Barella Zandoná Lílian Santos Pinheiro Liliane Souto Pacheco Luanna Silva Monteiro Menezes Lucas de Deus Sousa Luis Cesar Souto de Moura Luísa Elem Almeida Santos Luiz Antônio Nasi Máderson Alvares de Souza Cabral Maiara Anschau Floriani Maíra Dias Souza Marcelo Carneiro Mariana Frizzo de Godoy Marília Mastrocolla de Almeida Cardoso Matheus Carvalho Alves Nogueira Mauro Oscar Soares de Souza Lima Meire Pereira de Figueiredo Milton Henriques Guimarães Júnior Natália da Cunha Severino Sampaio Neimy Ramos de Oliveira Pedro Guido Soares Andrade Pedro Ledic Assaf Petrônio José de Lima Martelli Raphael Castro Martins Reginaldo Aparecido Valácio Roberta Pozza Rochele Mosmann Menezes Rodolfo Lucas Silva Mourato Roger Mendes de Abreu Rufino de Freitas Silva Saionara Cristina Francisco Silvana Mangeon Mereilles Guimarães Silvia Ferreira Araújo Talita Fischer Oliveira Tatiana Kurtz Tatiani Oliveira Fereguetti Thainara Conceição de Oliveira Yara Cristina Neves Marques Barbosa Ribeiro Yuri Carlotto Ramires Carísi Anne Polanczyk Milena Soriano Marcolino

The COVID-19 pandemic caused unprecedented pressure over health care systems worldwide. Hospital-level data that may influence the prognosis in patients still needs to be better investigated. Therefore, this study analyzed regional socioeconomic, hospital, and intensive units (ICU) characteristics associated with in-hospital mortality admitted Brazilian institutions. This multicenter retrospective cohort is part of Registry. We enrolled ≥ 18 years old laboratory-confirmed participating...

10.1007/s11739-022-03092-9 article EN other-oa Internal and Emergency Medicine 2022-09-25

Resumo Fundamento As complicações cardiovasculares da COVID-19 são aspectos importantes patogênese e do prognóstico doença. Evidências papel troponina lesão miocárdica em pacientes hospitalizados com na América Latina ainda escassos. Objetivos Avaliar a como preditor independente de mortalidade hospitalar suporte ventilatório mecânico hospitalizados, registro brasileiro COVID-19. Métodos Este estudo coorte é um subestudo COVID-19, conduzido 31 hospitais brasileiros 17 [...]

10.36660/abc.20220151 article PT cc-by-nc Arquivos Brasileiros de Cardiologia 2023-01-01

To analyze the clinical characteristics and outcomes of admitted patients with hospital- versus community-manifested COVID-19 to evaluate risk factors related mortality in first population.This retrospective cohort included consecutive adult COVID-19, hospitalized between March September 2020. The demographic data, characteristics, were extracted from medical records. Patients hospital-manifested (study group) those (control matched by propensity score model. Logistic regression models used...

10.1016/j.ijid.2023.02.012 article EN cc-by-nc-nd International Journal of Infectious Diseases 2023-02-21

To determinate the accuracy of computed tomography (CT) imaging assessed by deep neural networks for predicting need mechanical ventilation (MV) in patients hospitalized with severe acute respiratory syndrome due to coronavirus disease 2019 (COVID-19).This was a retrospective cohort study carried out at two hospitals Brazil. We included CT scans from who were and had COVID-19 confirmed reverse transcription-polymerase chain reaction (RT-PCR). The training set consisted chest examinations 823...

10.1590/0100-3984.2022.0049 article EN Radiologia Brasileira 2023-03-01

Context COVID-19 induces complex distress across physical, psychological, and social realms palliative care (PC) has the potential to mitigate this suffering significantly. Objectives To describe clinical characteristics outcomes of patients with an indication PC, compared who had no indication, in different pandemic waves. Methods This retrospective multicenter observational cohort included from 40 hospitals, admitted March 2020 August 2022. Patients described their medical records were...

10.3389/fmed.2024.1390057 article EN cc-by Frontiers in Medicine 2024-07-25
Daniella Nunes Pereira Letícia Ferreira Gontijo Silveira Milena Maria Moreira Guimarães Carísi Anne Polanczyk Aline Gabrielle Sousa Nunes and 58 more André Soares de Moura Costa Bárbara Lopes Farace Christiane Corrêa Rodrigues Cimini Cíntia Alcântara de Carvalho Daniela Ponce Eliane Würdig Roesch Euler Roberto Fernandes Manenti Fernanda Barbosa Lucas Fernanda d’Athayde Rodrigues Fernando Anschau Fernando Graça Aranha Frederico Bartolazzi Giovanna Grünewald Vietta Guilherme Fagundes Nascimento Helena Duani Heloísa Reniers Vianna Henrique Cerqueira Guimarães Jamille Hemétrio Salles Martins Costa Joanna d’Arc Lyra Batista Joice Coutinho de Alvarenga José Miguel Chatkin Júlia Drumond Parreiras de Morais Juliana Machado-Rugolo Karen Brasil Ruschel Lílian Santos Pinheiro Luanna Silva Monteiro Menezes Luciana Siuves Ferreira Couto Luciane Kopittke Luís César de Castro Luiz Antônio Nasi Máderson Alvares de Souza Cabral Maiara Anschau Floriani Maíra Dias Souza Marcelo Carneiro Maria Aparecida Camargos Bicalho Mariana Frizzo de Godoy Matheus Carvalho Alves Nogueira Milton Henriques Guimarães Júnior Natália da Cunha Severino Sampaio Neimy Ramos de Oliveira Pedro Ledic Assaf Renan Goulart Finger Roberta Xavier Campos Rochele Mosmann Menezes Saionara Cristina Francisco Samuel Penchel Alvarenga Silvana Mangeon Mereilles Guimarães Silvia Ferreira Araújo Talita Fischer Oliveira Thulio Henrique Oliveira Diniz Yuri Carlotto Ramires Evelin Paola de Almeida Cenci Thainara Conceição de Oliveira Alexandre Vargas Schwarzbold Patrícia Klarmann Ziegelmann Roberta Pozza Magda Carvalho Pires Milena Soriano Marcolino

Abstract Background It is not clear whether previous thyroid diseases influence the course and outcomes of COVID-19. The study aims to compare clinical characteristics COVID-19 patients with without hypothyroidism. Methods a part multicentric cohort confirmed diagnosis, including data collected from 37 hospitals. Matching for age, sex, number comorbidities hospital was performed select hypothyroidism paired analysis. Results From 7,762 patients, 526 had previously diagnosed (50%) were...

10.1101/2021.11.03.21265685 preprint EN cc-by-nc medRxiv (Cold Spring Harbor Laboratory) 2021-11-03
Bruno Barbosa Miranda de Paiva Polianna Delfino-Pereira Cláudio Moisés Valiense de Andrade Virgínia Mara Reis Gomes Maria Clara Pontello Barbosa Lima and 88 more Maíra Viana Rego Souza-Silva Marcelo Carneiro Karina Paula Medeiros Prado Martins Thaís Lorenna Souza Sales Rafael Lima Rodrigues de Carvalho Magda Carvalho Pires Lucas Emanuel Ferreira Ramos Rafael T. Silva Adriana Falangola Benjamin Bezerra Alexandre Vargas Schwarzbold Aline Gabrielle Sousa Nunes Amanda de Oliveira Maurílio Ana Luiza Bahia Alves Scotton André Soares de Moura Costa Andriele Abreu Castro Bárbara Lopes Farace Christiane Corrêa Rodrigues Cimini Cíntia Alcântara De Carvalho Daniel Vitório Silveira Daniela Ponce Elayne Crestani Pereira Euler Roberto Fernandes Manenti Evelin Paola de Almeida Cenci Fernanda Barbosa Lucas Fernanda d’Athayde Rodrigues Fernando Anschau Fernando Antônio Botoni Fernando Graça Aranha Frederico Bartolazzi Gisele Alsina Nader Bastos Giovanna Grünewald Vietta Guilherme Fagundes Nascimento Helena Carolina Noal Helena Duani Heloísa Reniers Vianna Henrique Cerqueira Guimarães Isabela Moraes Gomes Jamille Hemétrio Salles Martins Costa Jéssica Rayane Corrêa Silva da Fonseca Júlia Di Sabatino Santos Guimarães Júlia Drumond Parreiras de Morais Juliana Machado-Rugolo Joanna d’Arc Lyra Batista Joice Coutinho de Alvarenga José Miguel Chatkin Karen Brasil Ruschel Leila Beltrami Moreira Leonardo Seixas de Oliveira Liege Barella Zandoná Lílian Santos Pinheiro Luanna da Silva Monteiro Lucas de Deus Sousa Luciane Kopittke Luciano de Souza Viana Luís César de Castro Luisa Argolo Assis Luisa Elem Almeid Santos Máderson Alvares de Souza Cabral Magda César Raposo Maiara Anschau Floriani Maria Angélica Pires Ferreira Maria Aparecida Camargos Bicalho Mariana Frizzo de Godoy Matheus Carvalho Alves Nogueira Meire Pereira de Figueiredo Milton Henriques Guimarães Júnior Mônica Aparecida de Paula de Sordi Natália da Cunha Severino Sampaio Neimy Ramos de Oliveira Pedro Ledic Assaf Raquel Lutkmeier Reginaldo Aparecido Valácio Renan Goulart Finger Roberta Senger Rochele Mosmann Menezes Rufino de Freitas Silva Saionara Cristina Francisco Silvana Mangeon Mereilles Guimarães Silvia Ferreira Araújo Talita Fischer Oliveira Tatiana Kurtz Tatiani Oliveira Fereguetti Thainara Conceição de Oliveira Thulio Henrique Oliveira Diniz Yara Cristina Neves Marques Barbosa Ribeiro Yuri Carlotto Ramires Marcos André Gonçalves Milena Soriano Marcolino

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....

10.1101/2021.11.01.21265527 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2021-11-02
Maíra Viana Rego Souza-Silva Patrícia Klarmann Ziegelmann Vandack Nobre Virgínia Mara Reis Gomes Ana Paula Beck da Silva Etges and 82 more Alexandre Vargas Schwarzbold Aline Gabrielle Sousa Nunes Amanda de Oliveira Maurílio Ana Luiza Bahia Alves Scotton André Soares de Moura Costa Andressa Barreto Glaeser Bárbara Lopes Farace Bruno Nunes Ribeiro Carolina Marques Ramos Christiane Corrêa Rodrigues Cimini Cíntia Alcântara de Carvalho Claudete Rempel Daniel Vitório Silveira Daniela dos Reis Carazai Daniela Ponce Elayne Crestani Pereira Emanuele Marianne Souza Kroger Euler Roberto Fernandes Manenti Evelin Paola de Almeida Cenci Fernanda Barbosa Lucas Fernanda Costa dos Santos Fernando Anschau Fernando Antônio Botoni Fernando Graça Aranha Filipe Carrilho de Aguiar Frederico Bartolazzi Gabriela Petry Crestani Giovanna Grünewald Vietta Guilherme Fagundes Nascimento Helena Carolina Noal Helena Duani Heloísa Reniers Vianna Henrique Cerqueira Guimarães Joice Coutinho de Alvarenga José Miguel Chatkin Júlia Drumond Parreiras de Morais Juliana da Silva Nogueira Carvalho Juliana Machado-Rugolo Karen Brasil Ruschel Lara de Barros Wanderley Gomes Leonardo Seixas de Oliveira Liege Barella Zandoná Lílian Santos Pinheiro Liliane Souto Pacheco Luanna da Silva Monteiro Lucas de Deus Sousa Luis Cesar Souto de Moura Luísa Elem Almeida Santos Luiz Antônio Nasi Máderson Alvares de Souza Cabral Maiara Anschau Floriani Maíra Dias Souza Marcelo Carneiro Mariana Frizzo de Godoy Marília Mastrocolla de Almeida Cardoso Matheus Carvalho Alves Nogueira Mauro Oscar Soares de Souza Lima Meire Pereira de Figueiredo Milton Henriques Guimarães Júnior Natália da Cunha Severino Sampaio Neimy Ramos de Oliveira Pedro Guido Soares Andrade Pedro Ledic Assaf Petrônio José de Lima Martelli Raphael Castro Martins Reginaldo Aparecido Valácio Roberta Pozza Rochele Mosmann Menezes Rodolfo Lucas Silva Mourato Roger Mendes de Abreu Rufino de Freitas Silva Saionara Cristina Francisco Silvana Mangeon Mereilles Guimarães Silvia Ferreira Araújo Talita Fischer Oliveira Tatiana Kurtz Tatiani Oliveira Fereguetti Thainara Conceição de Oliveira Yara Cristina Neves Marques Barbosa Ribeiro Yuri Carlotto Ramires Carísi Anne Polanczyk Milena Soriano Marcolino

Background:The COVID-19 pandemic caused unprecedented pressure over health care systems, but hospital-level data that may influence the prognosis are not well-studied. Therefore, this study analyzed regional socioeconomic, hospital, and intensive units (ICU) characteristics associated with mortality in patients admitted to Brazilian institutions.Methods:This is a multicenter retrospective cohort. Patients from March September 2020, were enrolled. Data collected through hospital records,...

10.2139/ssrn.3979651 article EN SSRN Electronic Journal 2021-01-01

<sec> <title>BACKGROUND</title> Proper analysis and interpretation of health care data can significantly improve patient outcomes by enhancing services revealing the impacts new technologies treatments. Understanding substantial impact temporal shifts in these is crucial. For example, COVID-19 vaccination initially lowered mean age at-risk patients later changed characteristics those who died. This highlights importance understanding for assessing factors that affect outcomes. </sec>...

10.2196/preprints.54246 preprint EN 2023-11-02

Abstract Background Scientific data regarding the prevalence of COVID-19 neurological manifestations and prognosis in Latin America countries is still lacking. Therefore, study aims to understand SARS-CoV 2 infection Brazilian population its association with patient outcomes, such as in-hospital mortality. Methods This part Registry, a multicentric cohort, including from 37 hospitals. For analysis, patients were grouped according presence self-reported vs. clinically-diagnosed matched...

10.21203/rs.3.rs-1231708/v1 preprint EN cc-by Research Square (Research Square) 2022-01-05
Flávio de Azevedo Figueiredo Lucas Emanuel Ferreira Ramos Rafael Tavares Silva Magda Carvalho Pires Daniela Ponce and 61 more Rafael Lima Rodrigues de Carvalho Alexandre Vargas Schwarzbold Amanda de Oliveira Maurílio Ana Luiza Bahia Alves Scotton Andresa Fontoura Garbini Bárbara Lopes Farace Bárbara Machado Garcia Carla Thaís Cândida Alves da Silva Christiane Corrêa Rodrigues Cimini Cíntia Alcântara de Carvalho Cristiane dos Santos Dias Daniel Vitório Silveira Euler Roberto Fernandes Manenti Evelin Paola de Almeida Cenci Fernando Anschau Fernando Graça Aranha Filipe Carrilho de Aguiar Frederico Bartolazzi Giovanna Grünewald Vietta Guilherme Fagundes Nascimento Helena Carolina Noal Helena Duani Heloísa Reniers Vianna Henrique Cerqueira Guimarães Joice Coutinho de Alvarenga José Miguel Chatkin Júlia Drumond Parreiras de Morais Juliana Machado-Rugolo Karen Brasil Ruschel Karina Paula Medeiros Prado Martins Luanna Silva Monteiro Menezes Luciana Siuves Ferreira Couto Luís César de Castro Luiz Antônio Nasi Máderson Alvares de Souza Cabral Maiara Anschau Floriani Maíra Dias Souza Maíra Viana Rego Souza-Silva Marcelo Carneiro Mariana Frizzo de Godoy Maria Aparecida Camargos Bicalho Maria Clara Pontello Barbosa Lima Matheus Carvalho Alves Nogueira Matheus Fernandes Lopes Martins Milton Henriques Guimarães Júnior Natália da Cunha Severino Sampaio Neimy Ramos de Oliveira Patrícia Klarmann Ziegelmann Pedro Guido Soares Andrade Pedro Ledic Assaf Petrônio José de Lima Martelli Polianna Delfino-Pereira Raphael Castro Martins Rochele Mosmann Menezes Saionara Cristina Francisco Silvia Ferreira Araújo Talita Fischer Oliveira Thainara Conceição de Oliveira Thaís Lorenna Souza Sales Yuri Carlotto Ramires Milena Soriano Marcolino

ABSTRACT Background Acute kidney injury (AKI) is frequently associated with COVID-19 and the need for replacement therapy (KRT) considered an indicator of disease severity. This study aimed to develop a prognostic score predicting KRT in hospitalized patients. Methods part multicentre cohort, Brazilian Registry. A total 5,212 adult patients were included between March/2020 September/2020. We evaluated four categories predictor variables: (1) demographic data; (2) comorbidities conditions at...

10.1101/2022.01.11.22268631 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2022-01-13

Background: Some patients manifest COVID-19 symptoms while admitted for other reasons. Thus, we aimed to analyze clinical characteristics and outcomes of who developed during hospitalization when compared those hospitalized due COVID-19; evaluate the risk factors related mortality in first population.Methods: This retrospective study included adult patients, between March/2020 September/2020. Demographic data, were extracted from medical records. Patients manifested in-hospital (study group)...

10.2139/ssrn.4058232 article EN SSRN Electronic Journal 2022-01-01
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