MICHELLE LOUVAES GARCIA

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Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina

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  • article 2 Citação(ões) na Scopus
    Respiratory arousal threshold among patients with isolated sleep apnea and with comorbid insomnia (COMISA)
    (2023) YANAGIMORI, Marcela; FERNANDES, Mariana D.; GARCIA, Michelle L.; SCUDELLER, Paula G.; CARVALHO, Carlos R. R.; EDWARDS, Bradley; LORENZI-FILHO, Geraldo; GENTA, Pedro R.
    Insomnia and obstructive sleep apnea (OSA) are common sleep disorders and frequently coexist (COMISA). Arousals from sleep may be a common link explaining the frequent comorbidity of both disorders. Respiratory arousal threshold (AT) is a physiologic measurement of the level of respiratory effort to trigger an arousal from sleep. The impact of COMISA on AT is not known. We hypothesized that a low AT is more common among COMISA than among patients with OSA without insomnia. Participants referred for OSA diagnosis underwent a type 3 sleep study and answered the insomnia severity index (ISI) questionnaire and the Epworth sleepiness scale. Participants with an ISI score >= 15 were defined as having insomnia. Sleep apnea was defined as an apnea hypopnea index (AHI) >= 15 events/h. Low AT was determined using a previously validated score based on 3 polysomnography variables (AHI, nadir SpO(2) and the frequency of hypopneas). OSA-only (n = 51) and COMISA (n = 52) participants had similar age (61[52-68] vs 60[53-65] years), body-mass index (31.3[27.7-36.2] vs 32.2[29.5-38.3] kg/m(2)) and OSA severity (40.2[27.5-60] vs 37.55[27.9-65.2] events/h): all p = NS. OSA-only group had significantly more males than the COMISA group (58% vs 33%, p = 0.013. The proportion of participants with a low AT among OSA-only and COMISA groups was similar (29 vs 33%, p = NS). The similar proportion of low AT among COMISA and patients with OSA suggests that the respiratory arousal threshold may not be related to the increased arousability of insomnia.
  • article
    Tele-Intensive Care Unit Program in Brazil: Implementation and Expansion
    (2023) SCUDELLER, Paula Gobi; LAMAS, Celina de Almeida; ALVARENGA, Aline Morgan; GARCIA, Michelle Louvaes; AMARAL, Talita Freitas; OLIVEIRA, Martina Rodrigues de; MACEDO, Bruno Rocha de; TESTA, Carolina Burgarelli; BAPTISTA, Fernanda Spadotto; FRANCISCO, Rossana Pulcineli Vieira; CARVALHO, Carlos Roberto Ribeiro de; Tele ICU HCFMUSP Study Group
    In this scientific report, we aimed to describe the implementation and expansion of a Tele-Intensive Care Unit (Tele-ICU) program in Brazil, highlighting the pillars of success, improvements, and perspectives. Tele-ICU program emerged during the COVID-19 pandemic at the Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo (HCFMUSP), focusing on clinical case discussions and training of health practitioners in public hospitals of the state of Sao Paulo in Brazil, to support health care professionals for treating COVID-19 patients. The success of implementing this initiative endorsed the project expansion to other five hospitals from different macroregions of the country, leading to the Tele-ICU-Brazil. These projects assisted 40 hospitals, allowing more than 11,500 teleinterconsultations (exchange of medical information between health care professionals using a licensed online platform) and training more than 14,800 health care professionals, reducing mortality and length of hospitalized patients. A segment in telehealth for the obstetrics health care was implemented after detecting these were a susceptible group of patients to COVID-19 severity. As a perspective, this segment will be expanded to 27 hospitals in the country. The Tele-ICU projects reported here were the largest digital health ICU programs ever established in Brazilian National Health System until know. Their results were unprecedented and proved to be crucial for supporting health care professionals nationwide during the COVID-19 pandemic and guide future initiatives in digital health in Brazil's National Health System.
  • article 0 Citação(ões) na Scopus
    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, Geraldo
    Introduction 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.
  • article 14 Citação(ões) na Scopus
    Clinical, sociodemographic and environmental factors impact post-COVID-19 syndrome
    (2022) FERREIRA, Juliana Carvalho; MOREIRA, Tiana C. Lopes; ARAUJO, Adriana Ladeira de; IMAMURA, Marta; DAMIANO, Rodolfo F.; GARCIA, Michelle L.; SAWAMURA, Marcio V. Y.; PINNA, Fabio R.; GUEDES, Bruno F.; GONCALVES, Fabio A. Rodrigues; MANCINI, Marcio; BURDMANN, Emmanuel A.; SILVA FILHO, Demostenes Ferreira da; POLIZEL, Jefferson Lordello; BENTO, Ricardo F.; ROCHA, Vanderson; NITRINI, Ricardo; SOUZA, Heraldo Possolo de; LEVIN, Anna S.; KALLAS, Esper G.; FORLENZA, Orestes V.; BUSATTO, Geraldo F.; BATISTELLA, Linamara R.; CARVALHO, Carlos R. Ribeiro de; MAUAD, Thais; GOUVEIA, Nelson
    Background Sociodemographic and environmental factors are associat-ed with incidence, severity, and mortality of COVID-19. However, little is known about the role of such factors in persisting symptoms among re-covering patients. We designed a cohort study of hospitalized COVID-19 survivors to describe persistent symptoms and identify factors associated with post-COVID-19 syndrome. Methods We included patients hospitalized between March to August 2020 who were alive six months after hospitalization. We collected indi-vidual and clinical characteristics during hospitalization and at follow-up assessed ten symptoms with standardized scales, 19 yes/no symptoms, a functional status and a quality-of-life scale and performed four clinical tests. We examined individual exposure to greenspace and air pollution and considered neighbourhood acute accent s population density and socioeconomic conditions as contextual factors in multilevel regression analysis. Results We included 749 patients with a median follow-up of 200 (IQR = 185-235) days, and 618 (83%) had at least one of the ten symptoms measured with scales. Pain (41%), fatigue (38%) and posttraumatic stress disorder (35%) were the most frequent. COVID-19 severity, comorbidities, BMI, female sex, younger age, and low socioeconomic position were associ-ated with different symptoms. Exposure to ambient air pollution was asso-ciated with higher dyspnoea and fatigue scores and lower functional status. Conclusions We identified a high frequency of persistent symptoms among COVID-19 survivors that were associated with clinical, sociodemographic, and environmental variables. These findings indicate that most patients re-covering from COVID-19 will need post-discharge care, and an additional burden to health care systems, especially in LMICs, should be expected.
  • article 11 Citação(ões) na Scopus
    Post-acute sequelae of SARS-CoV-2 infection: relationship of central nervous system manifestations with physical disability and systemic inflammation
    (2022) BUSATTO, Geraldo F.; ARAUJO, Adriana Ladeira de; CASTALDELLI-MAIA, Joao Mauricio; DAMIANO, Rodolfo Furlan; IMAMURA, Marta; GUEDES, Bruno F.; PINNA, Fabio de Rezende; SAWAMURA, Marcio Valente Yamada; MANCINI, Marcio C.; SILVA, Katia R. da; GARCIA, Michelle L.; SUMITA, Nairo; BRUNONI, Andre Russowsky; DUARTE, Alberto J. da Silva; BURDMANN, Emmanuel A.; KALLAS, Esper G.; CERRI, Giovanni G.; NITRINI, Ricardo; BENTO, Ricardo F.; ROCHA, Vanderson Geraldo; SOUZA, Heraldo Possolo de; MIGUEL, Euripedes C.; CARVALHO, Carlos R. R. de; FORLENZA, Orestes V.; BATISTELLA, Linamara Rizzo
    Background Despite the multitude of clinical manifestations of post-acute sequelae of SARS-CoV-2 infection (PASC), studies applying statistical methods to directly investigate patterns of symptom co-occurrence and their biological correlates are scarce. Methods We assessed 30 symptoms pertaining to different organ systems in 749 adults (age = 55 +/- 14 years; 47% female) during in-person visits conducted at 6-11 months after hospitalization due to coronavirus disease 2019 (COVID-19), including six psychiatric and cognitive manifestations. Symptom co-occurrence was initially investigated using exploratory factor analysis (EFA), and latent variable modeling was then conducted using Item Response Theory (IRT). We investigated associations of latent variable severity with objective indices of persistent physical disability, pulmonary and kidney dysfunction, and C-reactive protein and D-dimer blood levels, measured at the same follow-up assessment. Results The EFA extracted one factor, explaining 64.8% of variance; loadings were positive for all symptoms, and above 0.35 for 16 of them. The latent trait generated using IRT placed fatigue, psychiatric, and cognitive manifestations as the most discriminative symptoms (coefficients > 1.5, p < 0.001). Latent trait severity was associated with decreased body weight and poorer physical performance (coefficients > 0.240; p <= 0.003), and elevated blood levels of C-reactive protein (coefficient = 0.378; 95% CI 0.215-0.541; p < 0.001) and D-dimer (coefficient = 0.412; 95% CI 0.123-0.702; p = 0.005). Results were similar after excluding subjects with pro-inflammatory comorbidities. Conclusions Different symptoms that persist for several months after moderate or severe COVID-19 may unite within one latent trait of PASC. This trait is dominated by fatigue and psychiatric symptoms, and is associated with objective signs of physical disability and persistent systemic inflammation.
  • article 23 Citação(ões) na Scopus
    Post-acute sequelae of SARS-CoV-2 infection (PASC): a protocol for a multidisciplinary prospective observational evaluation of a cohort of patients surviving hospitalisation in Sao Paulo, Brazil
    (2021) BUSATTO, Geraldo Filho; ARAUJO, Adriana Ladeira de; DUARTE, Alberto Jose da Silva; LEVIN, Anna Sara; GUEDES, Bruno Fukelmann; KALLAS, Esper Georges; PINNA, Fabio Rezende; SOUZA, Heraldo Possolo de; SILVA, Katia Regina da; SAWAMURA, Marcio Valente Yamada; SEELAENDER, Marilia; IMAMURA, Marta; GARCIA, Michelle Louvaes; FORLENZA, Orestes Vicente; NITRINI, Ricardo; DAMIANO, Rodolfo Furlan; ROCHA, Vanderson Geraldo; BATISTTELLA, Linamara Rizzo; CARVALHO, Carlos Roberto Ribeiro de
    Introduction COVID-19 may lead to persistent and potentially incapacitating clinical manifestations (post-acute sequelae of SARS-CoV-2 infection (PASC)). Using easy-to-apply questionnaires and scales (often by telephone interviewing), several studies evaluated samples of COVID-19 inpatients from 4 weeks to several months after discharge. However, studies conducting systematic multidisciplinary assessments of PASC manifestations are scarce, with thorough in-person objective evaluations restricted to modestly sized subsamples presenting greatest disease severity. Methods and analyses We will conduct a prospective observational study of surviving individuals (above 18 years of age) from a cohort of over 3000 subjects with laboratory-confirmed COVID-19 who were treated as inpatients at the largest academic health centre in Sao Paulo, Brazil (Hospital das Clinicas, Faculdade de Medicina, Universidade de Sao Paulo). All eligible subjects will be consecutively invited to undergo a 1-2-day series of multidisciplinary assessments at 2 time-points, respectively, at 6-9 months and 12-15 months after discharge. Assessment schedules will include detailed multidomain questionnaires applied by medical research staff, self-report scales, objective evaluations of cardiopulmonary functioning, physical functionality and olfactory status, standardised neurological, psychiatric and cognitive examinations, as well as diagnostic laboratory, muscle ultrasound and chest imaging exams. Remaining material from blood tests will be incorporated by a local biobank for use in future investigations on inflammatory markers, genomics, transcriptomics, peptidomics and metabolomics. Ethics and dissemination All components of this programme have been approved by local research ethics committees. We aim to provide insights into the frequency and severity of chronic/post-COVID multiorgan symptoms, as well as their interrelationships and associations with acute disease features, sociodemographic variables and environmental exposures. Findings will be disseminated in peer-reviewed journals and at scientific meetings. Additionally, we aim to provide a data repository to allow future pathophysiological investigations relating clinical PASC features to biomarker data extracted from blood samples.
  • article 4 Citação(ões) na Scopus
    Chronic lung lesions in COVID-19 survivors: predictive clinical model
    (2022) CARVALHO, Carlos Roberto Ribeiro; CHATE, Rodrigo Caruso; SAWAMURA, Marcio Valente Yamada; GARCIA, Michelle Louvaes; LAMAS, Celina Almeida; CARDENAS, Diego Armando Cardona; LIMA, Daniel Mario; SCUDELLER, Paula Gobi; SALGE, Joao Marcos; NOMURA, Cesar Higa; GUTIERREZ, Marco Antonio
    Objective This study aimed to propose a simple, accessible and low-cost predictive clinical model to detect lung lesions due to COVID-19 infection. Design This prospective cohort study included COVID-19 survivors hospitalised between 30 March 2020 and 31 August 2020 followed-up 6 months after hospital discharge. The pulmonary function was assessed using the modified Medical Research Council (mMRC) dyspnoea scale, oximetry (SpO(2)), spirometry (forced vital capacity (FVC)) and chest X-ray (CXR) during an in-person consultation. Patients with abnormalities in at least one of these parameters underwent chest CT. mMRC scale, SpO(2), FVC and CXR findings were used to build a machine learning model for lung lesion detection on CT. Setting A tertiary hospital in Sao Paulo, Brazil. Participants 749 eligible RT-PCR-confirmed SARS-CoV-2-infected patients aged >= 18 years. Primary outcome measure A predictive clinical model for lung lesion detection on chest CT. Results There were 470 patients (63%) that had at least one sign of pulmonary involvement and were eligible for CT. Almost half of them (48%) had significant pulmonary abnormalities, including ground-glass opacities, parenchymal bands, reticulation, traction bronchiectasis and architectural distortion. The machine learning model, including the results of 257 patients with complete data on mMRC, SpO(2), FVC, CXR and CT, accurately detected pulmonary lesions by the joint data of CXR, mMRC scale, SpO(2) and FVC (sensitivity, 0.85 +/- 0.08; specificity, 0.70 +/- 0.06; F1-score, 0.79 +/- 0.06 and area under the curve, 0.80 +/- 0.07). Conclusion A predictive clinical model based on CXR, mMRC, oximetry and spirometry data can accurately screen patients with lung lesions after SARS-CoV-2 infection. Given that these examinations are highly accessible and low cost, this protocol can be automated and implemented in different countries for early detection of COVID-19 sequelae.
  • article 0 Citação(ões) na Scopus
    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 Cassa
    Background 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.
  • article 10 Citação(ões) na Scopus
    Implementation of Tele-ICU during the COVID-19 pandemic
    (2021) MACEDO, Bruno Rocha de; GARCIA, Marcos Vinicius Fernandes; GARCIA, Michelle Louvaes; VOLPE, Marcia; SOUSA, Mayson Laercio de Araujo; AMARAL, Talita Freitas; GUTIERREZ, Marco Antonio; BARBOSA, Antonio Pires; SCUDELLER, Paula Gobi; CARUSO, Pedro; CARVALHO, Carlos Roberto Ribeiro
    Objective: To describe the implementation of a Tele-ICU program during the COVID-19 pandemic, as well as to describe and analyze the results of the first four months of operation of the program. Methods: This was a descriptive observational study of the implementation of a Tele-ICU program, followed by a retrospective analysis of clinical data of patients with COVID-19 admitted to ICUs between April and July of 2020. Results: The Tele-ICU program was implemented over a four-week period and proved to be feasible during the pandemic. Participants were trained remotely, and the program had an evidence-based design, the objective being to standardize care for patients with COVID-19. More than 100,000 views were recorded on the free online platforms and the mobile application. During the study period, the cases of 326 patients with COVID-19 were evaluated through the program. The median age was 60 years (IQR, 49-68 years). There was a predominance of males (56%). There was also a high prevalence of hypertension (49.1%) and diabetes mellitus (38.4%). At ICU admission, 83.7% of patients were on invasive mechanical ventilation, with a median PaO2/FiO(2) ratio < 150. It was possible to use lung-protective ventilation in 75% of the patients. Overall, in-hospital mortality was 68%, and ICU mortality was 65%. Conclusions: Our Tele-ICU program provided multidisciplinary training to health care professionals and clinical follow-up for hundreds of critically ill patients. This public health care network initiative was unprecedented and proved to be feasible during the COVID-19 pandemic, encouraging the creation of similar projects that combine evidence-based practices, training, and Tele-ICU.
  • article 6 Citação(ões) na Scopus
    Long-term respiratory follow-up of ICU hospitalized COVID-19 patients: Prospective cohort study
    (2023) CARVALHO, Carlos Roberto Ribeiro; LAMAS, Celina Almeida; CHATE, Rodrigo Caruso; SALGE, Joao Marcos; SAWAMURA, Marcio Valente Yamada; ALBUQUERQUE, Andre L. P. de; JR, Carlos Toufen; LIMA, Daniel Mario; GARCIA, Michelle Louvaes; SCUDELLER, Paula Gobi; NOMURA, Cesar Higa; GUTIERREZ, Marco Antonio; BALDI, Bruno Guedes
    BackgroundCoronavirus disease (COVID-19) survivors exhibit multisystemic alterations after hospitalization. Little is known about long-term imaging and pulmonary function of hospitalized patients intensive care unit (ICU) who survive COVID-19. We aimed to investigate long-term consequences of COVID-19 on the respiratory system of patients discharged from hospital ICU and identify risk factors associated with chest computed tomography (CT) lesion severity. MethodsA prospective cohort study of COVID-19 patients admitted to a tertiary hospital ICU in Brazil (March-August/2020), and followed-up six-twelve months after hospital admission. Initial assessment included: modified Medical Research Council dyspnea scale, SpO(2) evaluation, forced vital capacity, and chest X-Ray. Patients with alterations in at least one of these examinations were eligible for CT and pulmonary function tests (PFTs) approximately 16 months after hospital admission. Primary outcome: CT lesion severity (fibrotic-like or non-fibrotic-like). Baseline clinical variables were used to build a machine learning model (ML) to predict the severity of CT lesion. ResultsIn total, 326 patients (72%) were eligible for CT and PFTs. COVID-19 CT lesions were identified in 81.8% of patients, and half of them showed mild restrictive lung impairment and impaired lung diffusion capacity. Patients with COVID-19 CT findings were stratified into two categories of lesion severity: non-fibrotic-like (50.8%-ground-glass opacities/reticulations) and fibrotic-like (49.2%-traction bronchiectasis/architectural distortion). No association between CT feature severity and altered lung diffusion or functional restrictive/obstructive patterns was found. The ML detected that male sex, ICU and invasive mechanic ventilation (IMV) period, tracheostomy and vasoactive drug need during hospitalization were predictors of CT lesion severity(sensitivity,0.78 +/- 0.02;specificity,0.79 +/- 0.01;F1-score,0.78 +/- 0.02;positive predictive rate,0.78 +/- 0.02; accuracy,0.78 +/- 0.02; and area under the curve,0.83 +/- 0.01). ConclusionICU hospitalization due to COVID-19 led to respiratory system alterations six-twelve months after hospital admission. Male sex and critical disease acute phase, characterized by a longer ICU and IMV period, and need for tracheostomy and vasoactive drugs, were risk factors for severe CT lesions six-twelve months after hospital admission.