VILSON COBELLO JUNIOR
Índice h a partir de 2011
4
Projetos de Pesquisa
Unidades Organizacionais
FMUSP, Hospital das Clínicas, Faculdade de Medicina
PAHC, Hospital das Clínicas, Faculdade de Medicina
PAHC, Hospital das Clínicas, Faculdade de Medicina
12 resultados
Resultados de Busca
Agora exibindo 1 - 10 de 12
- Building an outpatient telemedicine care pilot using Scrum-like framework within a medical residency program(2021) BIN, Kaio Jia; HIGA, Natalia; SILVA, Jessica Helena da; QUAGLIANO, Daniele Abud; HANGAI, Rosemeire Keiko; COBELLO-JUNIOR, Vilson; PEREIRA, Antonio Jose Rodrigues; CARNEIRO-D'ALBUQUERQUE, Luiz Augusto; CARRILHO, Flair Jose; WEN, Chao Lung; ONO, Suzane KiokoOBJECTIVES: A good health care does not only depend on good medical practice, but also needs great management of its resources, which are generally short. In this sense, PROAHSA has been training new health managers since 1972. With the arrival of the COVID-19 pandemic, it was clear that medicine will go through a new phase, where telehealth will be present in this ""Improved Normal"". This report is about how a pilot teleconsultation study was carried out for HCFMUSP patients through the Scrum-like framework. It is to deploy a pilot of remote assistance involving a doctor and a patient in the Ambulatory of Hepatology and Liver Transplantation of HCFMUSP. METHODS: We applied the Scrum-like framework to carry out this work with an interdisciplinary multi-functionality team. RESULTS: A full telemedicine service flow was implemented within eight weeks using existing infrastructure and resources implementing the Scrum methodology. Twenty-three teleconsultations were scheduled and eight guides built. CONCLUSION: Scrum framework has a great potential to improve the training of students and to conclude pilot projects.
- 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.
- The Impact of Artificial Intelligence on Waiting Time for Medical Care in an Urgent Care Service for COVID-19: Single-Center Prospective Study(2022) BIN, Kaio Jia; MELO, Adler Araujo Ribeiro; ROCHA, Jose Guilherme Moraes Franco da; ALMEIDA, Renata Pivi de; COBELLO JUNIOR, Vilson; MAIA, Fernando Liebhart; FARIA, Elizabeth de; PEREIRA, Antonio Jose; BATTISTELLA, Linamara Rizzo; ONO, Suzane KiokoBackground: To demonstrate the value of implementation of an artificial intelligence solution in health care service, a winning project of the Massachusetts Institute of Technology Hacking Medicine Brazil competition was implemented in an urgent care service for health care professionals at Hospital das Clinicas of the Faculdade de Medicina da Universidade de Sao Paulo during the COVID-19 pandemic. Objective: The aim of this study was to determine the impact of implementation of the digital solution in the urgent care service, assessing the reduction of nonvalue-added activities and its effect on the nurses' time required for screening and the waiting time for patients to receive medical care. Methods: This was a single-center, comparative, prospective study designed according to the Public Health England guide ""Evaluating Digital Products for Health."" A total of 38,042 visits were analyzed over 18 months to determine the impact of implementing the digital solution. Medical care registration, health screening, and waiting time for medical care were compared before and after implementation of the digital solution. Results: The digital solution automated 92% of medical care registrations. The time for health screening increased by approximately 16% during the implementation and in the first 3 months after the implementation. The waiting time for medical care after automation with the digital solution was reduced by approximately 12 minutes compared with that required for visits without automation. The total time savings in the 12 months after implementation was estimated to be 2508 hours. Conclusions: The digital solution was able to reduce nonvalue-added activities, without a substantial impact on health screening, and further saved waiting time for medical care in an urgent care service in Brazil during the COVID-19 pandemic.
- 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.
- COVID-19-related hospital cost-outcome analysis: The impact of clinical and demographic factors(2021) MIETHKE-MORAIS, Anna; CASSENOTE, Alex; PIVA, Heloisa; TOKUNAGA, Eric; COBELLO, Vilson; GONCALVES, Fabio Augusto Rodrigues; LOBO, Renata dos Santos; TRINDADE, Evelinda; D'ALBUQUERQUE, Luiz Augusto Carneiro; HADDAD, LucianaIntroduction: Although patients' clinical conditions have been shown to be associated with coronavirus disease (COVID-19) severity and outcome, their impact on hospital costs are not known. This economic evaluation of COVID-19 admissions aimed to assess direct and fixed hospital costs and describe their particularities in different clinical and demographic conditions and outcomes in the largest public hospital in Latin America, located in Sao Paulo, Brazil, where a whole institute was exclusively dedicated to COVID-19 patients in response to the pandemic. Methods: This is a partial economic evaluation performed from the hospital's perspective and is a prospective, observational cohort study to assess hospitalization costs of suspected and confirmed COVID-19 patients admitted between March 30 and June 30, 2020, to Hospital das Clinicas of the University of Sao Paulo Medical School (HCFMUSP) and followed until discharge, death, or external transfer. Micro- and macro-costing methodologies were used to describe and analyze the total cost associated with each patient's underlying medical conditions, itinerary and outcomes as well as the cost components of different hospital sectors. Results: The average cost of the 3254 admissions (51.7% of which involved intensive care unit stays) was US$12,637.42. The overhead cost was its main component. Sex, age and underlying hypertension (US$14,746.77), diabetes (US$15,002.12), obesity (US$18,941.55), chronic renal failure (US$15,377.84), and rheumatic (US$17,764.61), hematologic (US $15,908.25) and neurologic (US$15,257.95) diseases were associated with higher costs. Age strata >69 years, reverse transcription polymerase chain reaction (RT-PCR)-confirmed COVID-19, comorbidities, use of mechanical ventilation or dialysis, surgery and outcomes remained associated with higher costs. Conclusion: Knowledge of COVID-19 hospital costs can aid in the development of a comprehensive approach for decision-making and planning for future risk management. (C) 2021 Sociedade Brasileira de Infectologia.
- 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.
- Distinct Outcomes in COVID-19 Patients with Positive or Negative RT-PCR Test(2022) MENEZES, Maria Clara Saad; PESTANA, Diego Vinicius Santinelli; FERREIRA, Juliana Carvalho; CARVALHO, Carlos Roberto Ribeiro de; FELIX, Marcelo Consorti; MARCILIO, Izabel Oliva; SILVA, Katia Regina da; COBELLO JUNIOR, Vilson Cobello; MARCHINI, Julio Flavio; ALENCAR, Julio Cesar; GOMEZ, Luz Marina Gomez; MAUA, Denis Deratani; SOUZA, Heraldo PossoloIdentification of the SARS-CoV-2 virus by RT-PCR from a nasopharyngeal swab sample is a common test for diagnosing COVID-19. However, some patients present clinical, laboratorial, and radiological evidence of COVID-19 infection with negative RT-PCR result(s). Thus, we assessed whether positive results were associated with intubation and mortality. This study was conducted in a Brazilian tertiary hospital from March to August of 2020. All patients had clinical, laboratory, and radiological diagnosis of COVID-19. They were divided into two groups: positive (+) RT-PCR group, with 2292 participants, and negative (-) RT-PCR group, with 706 participants. Patients with negative RT-PCR testing and an alternative most probable diagnosis were excluded from the study. The RT-PCR(+) group presented increased risk of intensive care unit (ICU) admission, mechanical ventilation, length of hospital stay, and 28-day mortality, when compared to the RT-PCR(-) group. A positive SARS-CoV-2 RT-PCR result was independently associated with intubation and 28 day in-hospital mortality. Accordingly, we concluded that patients with a COVID-19 diagnosis based on clinical data, despite a negative RT-PCR test from nasopharyngeal samples, presented more favorable outcomes than patients with positive RT-PCR test(s).
- Technological Innovation in Outpatient Assistance for Chronic Liver Disease and Liver Transplant Patients During the Coronavirus Disease Outbreak: A Method to Minimize Transmission(2020) ONO, Suzane Kioko; ANDRAUS, Wellington; TERRABUIO, Debora Raquel Benedita; COBELLO-JUNIOR, Vilson; ARAI, Lilian; DUCATTI, Liliana; HADDAD, Luciana Bertocco de Paiva; D'ALBUQUERQUE, Luiz Augusto Carneiro; CARRILHO, Flair Jose
- Agile response to the shortage of personal protective equipment during the COVID-19 crisis(2020) MORAES, Marcos; ALMEIDA, Renata Pivi de; SILVA, Jose Eduardo Lopes da; MADI, Marisa Riscalla; CARRARA, Dirceu; TAKEITI, Marcia Hitomi; STRABELLI, Tania Mara Varejao; COBELLO JUNIOR, Vilson
- Timing to Intubation COVID-19 Patients: Can We Put It Off until Tomorrow?(2022) ALENCAR, Julio Cesar Garcia de; STERNLICHT, Juliana Martes; VEIGA, Alicia Dudy Muller; MARCHINI, Julio Flavio Meirelles; FERREIRA, Juliana Carvalho; CARVALHO, Carlos Roberto Ribeiro de; MARCILIO, Izabel; SILVA, Katia Regina da; COBELLO JUNIOR, Vilson; FELIX, Marcelo Consorti; GOMEZ, Luz Marina Gomez; SOUZA, Heraldo Possolo de; MAUA, Denis DerataniBackground: The decision to intubate COVID-19 patients receiving non-invasive respiratory support is challenging, requiring a fine balance between early intubation and risks of invasive mechanical ventilation versus the adverse effects of delaying intubation. This present study analyzes the association between intubation day and mortality in COVID-19 patients. Methods: We performed a unicentric retrospective cohort study considering all COVID-19 patients consecutively admitted between March 2020 and August 2020 requiring invasive mechanical ventilation. The primary outcome was all-cause mortality within 28 days after intubation, and a Cox model was used to evaluate the effect of time from onset of symptoms to intubation in mortality. Results: A total of 592 (20%) patients of 3020 admitted with COVID-19 were intubated during study period, and 310 patients who were intubated deceased 28 days after intubation. Each additional day between the onset of symptoms and intubation was significantly associated with higher in-hospital death (adjusted hazard ratio, 1.018; 95% CI, 1.005-1.03). Conclusion: Among patients infected with SARS-CoV-2 who were intubated and mechanically ventilated, delaying intubation in the course of symptoms may be associated with higher mortality. Trial registration: The study protocol was approved by the local Ethics Committee (opinion number 3.990.817; CAAE: 30417520.0.0000.0068).