NFDI4DS | UHH-SEMS - Publication Details

Natália da Cunha Severino Sampaio

ORCID: 0000-0002-5799-8006

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A5050833823

Research Areas

COVID-19 Clinical Research Studies
COVID-19 and healthcare impacts
Acute Kidney Injury Research
Muscle and Compartmental Disorders
Dialysis and Renal Disease Management
Sepsis Diagnosis and Treatment
COVID-19 diagnosis using AI
Machine Learning in Healthcare
COVID-19 Impact on Reproduction
Healthcare during COVID-19 Pandemic
Thyroid Disorders and Treatments
Long-Term Effects of COVID-19
Vitamin D Research Studies
Healthcare Regulation
Venous Thromboembolism Diagnosis and Management
COVID-19 and Mental Health
Trypanosoma species research and implications
Pneumocystis jirovecii pneumonia detection and treatment
Artificial Intelligence in Healthcare
Explainable Artificial Intelligence (XAI)
COVID-19 epidemiological studies
Hormonal Regulation and Hypertension
Education during COVID-19 pandemic
Parasitic Diseases Research and Treatment
Global Health Care Issues

Fundação Hospitalar do Estado de Minas Gerais
2021-2023

Clinical characteristics and outcomes of patients hospitalized with COVID-19 in Brazil: Results from the Brazilian COVID-19 registry

OPENALEX - Publications

Milena Soriano Marcolino Patrícia Klarmann Ziegelmann Maíra Viana Rego Souza-Silva Israel Júnior Borges do Nascimento Luana Martins Oliveira and 89 more

To describe the clinical characteristics, laboratory results, imaging findings, and in-hospital outcomes of COVID-19 patients admitted to Brazilian hospitals.A cohort study laboratory-confirmed who were hospitalized from March 2020 September in 25 hospitals. Data collected medical records using Research Electronic Capture (REDCap) tools. A multivariate Poisson regression model was used assess risk factors for mortality.For a total 2,054 (52.6% male; median age 58 years), mortality 22.0%;...

10.1016/j.ijid.2021.01.019 article EN cc-by-nc-nd International Journal of Infectious Diseases 2021-01-14

Persistent symptoms, quality of life, and risk factors in long COVID: a cross-sectional study of hospitalized patients in Brazil

OPENALEX - Publications

Jacqueline Ferreira de Oliveira Renata Eliane de Ávila Neimy Ramos de Oliveira Natália da Cunha Severino Sampaio Maiara Botelho and 7 more

10.1016/j.ijid.2022.07.063 article EN cc-by-nc-nd International Journal of Infectious Diseases 2022-07-28

Chagas disease and SARS-CoV-2 coinfection does not lead to worse in-hospital outcomes

OPENALEX - Publications

Israel Molina Milena Soriano Marcolino Magda Carvalho Pires Lucas Emanuel Ferreira Ramos Rafael Tavares Silva and 38 more

Abstract Chagas disease (CD) continues to be a major public health burden in Latina America. Information on the interplay between COVID-19 and CD is lacking. Our aim was assess clinical characteristics in-hospital outcomes of patients with COVID-19, compare it non-CD patients. Consecutive confirmed were included from March September 2020. Genetic matching for sex, age, hypertension, diabetes mellitus hospital performed 4:1 ratio. Of 7018 who had 31 124 matched controls (median age 72 (64–80)...

10.1038/s41598-021-96825-3 article EN cc-by Scientific Reports 2021-10-13

Potential and limitations of machine meta-learning (ensemble) methods for predicting COVID-19 mortality in a large inhospital Brazilian dataset

OPENALEX - Publications

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

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

Development and validation of the MMCD score to predict kidney replacement therapy in COVID-19 patients

OPENALEX - Publications

Flávio de Azevedo Figueiredo Lucas Emanuel Ferreira Ramos Rafael Tavares Silva Daniela Ponce Rafael Lima Rodrigues de Carvalho and 63 more

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

Hypothyroidism does not lead to worse prognosis in COVID-19: findings from the Brazilian COVID-19 registry

OPENALEX - Publications

Daniella Nunes Pereira Letícia Ferreira Gontijo Silveira Milena Maria Moreira Guimarães Carísi Anne Polanczyk Aline Gabrielle Sousa Nunes and 59 more

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

Hospital characteristics associated with COVID-19 mortality: data from the multicenter cohort Brazilian Registry

OPENALEX - Publications

Maíra Viana Rego Souza-Silva Patrícia Klarmann Ziegelmann Vandack Nobre Virgínia Mara Reis Gomes Ana Paula Beck da Silva Etges and 82 more

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

Predictors of venous thromboembolism in COVID-19 patients: results of the COVID-19 Brazilian Registry

OPENALEX - Publications

Warley Cezar da Silveira Lucas Emanuel Ferreira Ramos Rafael Tavares Silva Bruno Barbosa Miranda de Paiva Polianna Delfino-Pereira and 52 more

10.1007/s11739-022-03002-z article EN Internal and Emergency Medicine 2022-06-01

Manejo nutricional para pacientes hospitalizados com COVID-19: Uma revisão integrativa

OPENALEX - Publications

Daniela Corrêa Ferreira Deysimara Cássia Santos Maisa Pereira Vieira Natália da Cunha Severino Sampaio Simonton Silveira de Andrade

O objetivo deste estudo é descrever a terapia nutricional adotada no cuidado aos pacientes hospitalizados com COVID-19. Este trabalho uma revisão bibliográfica integrativa. Os dados foram buscados em bases de e portais. Verificou-se que os autores recomendam realização da triagem risco nutricional. Além disso, constatou-se o ideal uso Enteral, utilizando-se dieta polimérica isosmótica padrão proteína entre 1,2-2,0 g/Kg/dia. A presença Equipe Multidisciplinar Terapia Nutricional fundamental...

10.36489/saudecoletiva.2020v10i59p4140-4151 article PT Saúde Coletiva (Barueri) 2020-12-09

Hypothyroidism does not lead to worse prognosis in COVID-19: findings from the Brazilian COVID-19 registry

OPENALEX - Publications

Daniella Nunes Pereira Letícia Ferreira Gontijo Silveira Milena Maria Moreira Guimarães Carísi Anne Polanczyk Aline Gabrielle Sousa Nunes and 58 more

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

Effectiveness, Explainability and Reliability of Machine Meta-Learning Methods for Predicting Mortality in Patients with COVID-19: Results of the Brazilian COVID-19 Registry

OPENALEX - Publications

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

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

Hospital Characteristics Associated With COVID-19 Mortality: Data From the Multicenter Cohort Brazilian COVID-19 Registry

OPENALEX - Publications

Maíra Viana Rego Souza-Silva Patrícia Klarmann Ziegelmann Vandack Nobre Virgínia Mara Reis Gomes Ana Paula Beck da Silva Etges and 82 more

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

Temporal validation of the MMCD score to predict kidney replacement therapy and in-hospital mortality in COVID-19 patients

OPENALEX - Publications

Vanessa das Graças José Ventura Polianna Delfino-Pereira Magda Carvalho Pires Alisson Alves Asevedo Alzira de Oliveira Jorge and 38 more

Acute kidney injury has been described as a common complication in patients hospitalized with COVID-19, which may lead to the need for replacement therapy (KRT) its most severe forms. Our group developed and validated MMCD score Brazilian COVID-19 predict KRT, showed excellent performance using data from 2020. This study aimed validate large cohort of different pandemic phase assess in-hospital mortality.This is part "Brazilian Registry", retrospective observational consecutive...

10.1186/s12882-023-03341-9 article EN cc-by BMC Nephrology 2023-10-04

Development and validation of the MMCD score to predict kidney replacement therapy in COVID-19 patients

OPENALEX - Publications

Flávio de Azevedo Figueiredo Lucas Emanuel Ferreira Ramos Rafael Tavares Silva Magda Carvalho Pires Daniela Ponce and 61 more

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

Effectiveness, Explainability and Reliability of Machine Meta-Learning Methods for Predicting Mortality in Patients with COVID-19: Results of the Brazilian COVID-19 Registry

OPENALEX - Publications

Polianna Delfino-Pereira Cláudio Moisés Valiense de Andrade Virgínia Mara Reis Gomes Maria Clara Pontello Barbosa Lima Maíra Viana Rego Souza-Silva and 87 more

Abstract The majority prognostic scores proposed for early assessment of coronavirus disease 19 (COVID-19) patients are bounded by methodological flaws. Our group recently developed a new risk score - ABC 2 SPH using traditional statistical methods (least absolute shrinkage and selection operator logistic regression LASSO). In this article, we provide thorough comparative study between modern machine learning (ML) state-of-the-art methods, represented SPH, in the task predicting in-hospital...

10.21203/rs.3.rs-1164411/v1 preprint EN cc-by Research Square (Research Square) 2022-01-11

COVID-19 outcomes in people living with HIV: peering through the waves

OPENALEX - Publications

Thaís Lorenna Souza Sales Maíra Viana Rego Souza-Silva Polianna Delfino-Pereira João Victor Baroni Neves Manuela Furtado Sacioto and 33 more

Abstract Background: HIV infection remains a public health concern, especially in low- and middle-income countries. Data regarding exposure of COVID-19 infected patients scarce. We evaluated clinical characteristics outcomes with HIV, compared paired sample without infection. Methods: This is substudy large Brazilian cohort that comprised two periods (2020 2021). was obtained through the retrospective review medical records to collect variables interest primary outcomes: intensive care...

10.21203/rs.3.rs-1850310/v1 preprint EN cc-by Research Square (Research Square) 2022-07-18

Predictors of Venous Thromboembolism in COVID-19 Patients: Results of the COVID-19 Brazilian Registry

OPENALEX - Publications

Warley Cezar da Silveira Lucas Emanuel Ferreira Ramos Rafael T. Silva Bruno Barbosa Miranda de Paiva Polianna Delfino-Pereira and 52 more

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...

10.2139/ssrn.3970713 article EN SSRN Electronic Journal 2021-01-01

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