KATIA REGINA DA SILVA
Projetos de Pesquisa
Unidades Organizacionais
Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina
LIM/11 - Laboratório de Cirurgia Cardiovascular e Fisiopatologia da Circulação, Hospital das Clínicas, Faculdade de Medicina
LIM/11 - Laboratório de Cirurgia Cardiovascular e Fisiopatologia da Circulação, Hospital das Clínicas, Faculdade de Medicina
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- Validity and reliability of the Brazilian Portuguese version of the Florida Patient Acceptance Survey for patients with implantable cardioverter defibrillators(2023) SILVA, Katia Regina; COSTA, Roberto; REBUSTINI, Flavio; MELO, Giovanna Regina Garcia de Oliveira; SAUCEDO, Sarah Caroline Martins; SEARS, SamuelDevice acceptance is a crucial factor in identifying implantable cardioverter defibrillator (ICD) patients at risk for psychosocial distress and unfavorable quality of life outcomes. The purpose of this study was to examine the evidence of the validity of internal structure (construct) and reliability of the Florida Patient Acceptance Survey (FPAS) in a sample of ICD patients, comparing the psychometric indicators of the complete (FPAS-18 item) and abbreviated (FPAS-12 item) versions. The sample included 151 participants (97 males, mean age of 55.7 & PLUSMN; 14.1 years) who completed the cross-culturally adapted version of the FPAS instrument for the Brazilian context. The psychometric properties of both versions of the FPAS instrument were evaluated by two distinct approaches: & BULL; Exploratory and confirmatory factor analysis: used to test the internal structure of the instrument & BULL; Cronbach's Alpha and McDonald's Omega: used to determine the reliability of the instrument The two versions of the FPAS-Br instrument showed consistent evidence of internal structure validity and reliability. However, the FPAS-Br 12-item showed a better psychometric adjustment, confirmed by the analysis of the quality indicators of the models.
- 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.
- 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.
- The impact of obesity in hospitalized patients with COVID-19: a retrospective cohort study(2024) CARRA, Fabio Alfano; MELO, Maria Edna de; STUMPF, Matheo A. M.; CERCATO, Cintia; FERNANDES, Ariana E.; MANCINI, Marcio C.; HIROTA, Adriana; KANASIRO, Alberto Kendy; CRESCENZI, Alessandra; FERNANDES, Amanda Coelho; MIETHKE-MORAIS, Anna; BELLINTANI, Arthur Petrillo; CANASIRO, Artur Ribeiro; CARNEIRO, Barbara Vieira; ZANBON, Beatriz Keiko; PINHEIRO, Bernardo; BATISTA, Senna Nogueira; NICOLAO, Bianca Ruiz; BESEN, Bruno Adler Maccagnan Pinheiro; BISELLI, Bruno; MACEDO, Bruno Rocha De; TOLEDO, Caio Machado Gomes De; CARVALHO, Carlos Roberto Ribeiro De; MOL, Caroline Gomes; STIPANICH, Cassio; BUENO, Caue Gasparotto; GARZILLO, Cibele; TANAKA, Clarice; FORTE, Daniel Neves; JOELSONS, Daniel; ROBIRA, Daniele; COSTA, Eduardo Leite Vieira; SILVA JUNIOR, Elson Mendes Da; REGALIO, Fabiane Aliotti; SEGURA, Gabriela Cardoso; LOURO, Giulia Sefrin; MARCELINO, Gustavo Brasil; HO, Yeh-Li; FERREIRA, Isabela Argollo; GOIS, Jeison Oliveira; SILVA-JR, Joao Manoel Da; JUNIOR, Jose Otto Reusing; RIBEIRO, Julia Fray; FERREIRA, Juliana Carvalho; GALLETI, Karine Vusberg; SILVA, Katia Regina; ISENSEE, Larissa Padrao; OLIVEIRA, Larissa Santos; TANIGUCHI, Leandro Utino; LETAIF, Leila Suemi; LIMA, Ligia Trombetta; PARK, Lucas Yongsoo; NETTO, Lucas Chaves; NOBREGA, Luciana Cassimiro; HADDAD, Luciana Bertocco Paiva; HAJJAR, Ludhmila Abrahao; MALBOUISSON, Luiz Marcelo Sa; PANDOLFI, Manuela Cristina Adsuara; PARK, Marcelo; CARMONA, Maria Jose Carvalho; ANDRADE, Maria Castilho Prandini H.; SANTOS, Mariana Moreira; BATELOCHE, Matheus Pereira; SUIAMA, Mayra Akimi; OLIVEIRA, Mayron Faria de; SOUSA, Mayson Laercio; GARCIA, Michelle Louvaes; HUEMER, Natassja; MENDES, Pedro Vitale; LINS, Paulo Ricardo Gessolo; SANTOS, Pedro Gaspar Dos; MOREIRA, Pedro Ferreira Paiva; GUAZZELLI, Renata Mello; REIS, Renato Batista Dos; DALTRO-OLIVEIRA, Renato; ROEPKE, Roberta Muriel Longo; PEDRO, Rodolpho Augusto Moura; KONDO, Rodrigo; RACHED, Samia Zahi; FONSECA, Sergio Roberto Silveira Da; BORGES, Thais Sousa; FERREIRA, Thalissa; JUNIOR, Vilson Cobello; SALES, Vivian Vieira Tenorio; FERREIRA, Willaby Serafim CassaBackground Obesity is believed to be a risk factor for COVID-19 and unfavorable outcomes, although data on this remains to be better elucidated.Objective To evaluate the impact of obesity on the endpoints of patients hospitalized due to SARS-CoV-2.Methods This retrospective cohort study evaluated patients hospitalized at a tertiary hospital (Hospital das Cl & iacute;nicas da Faculdade de Medicina da USP) from March to December 2020. Only patients positive for COVID-19 (real-time PCR or serology) were included. Data were collected from medical records and included clinical and demographic information, weight and height, SAPS-3 score, comorbidities, and patient-centered outcomes (mortality, and need for mechanical ventilation, renal replacement therapy, or vasoactive drugs). Patients were divided into categories according to their BMI (underweight, eutrophic, overweight and obesity) for comparison porpoise.Results A total of 2547 patients were included. The mean age was 60.3 years, 56.2% were men, 65.2% were white and the mean BMI was 28.1 kg/m(2). SAPS-3 score was a risk factor for all patient-centered outcomes (HR 1.032 for mortality, OR 1.03 for dialysis, OR 1.07 for vasoactive drug use, and OR 1.08 for intubation, p < 0.05). Male sex increased the risk of death (HR 1.175, p = 0.027) and dialysis (OR 1.64, p < 0.001), and underweight was protective for vasoactive drug use (OR 0.45, p = 0.027) and intubation (OR 0.31, p < 0.003).Conclusion Obesity itself was not an independent factor for worse patient-centered outcomes. Critical clinical state (indirectly evaluated by SAPS-3) appears to be the most important variable related to hard outcomes in patients infected with COVID-19.