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1.
J Bras Pneumol ; 48(2): e20210374, 2022.
Article in English, Portuguese | MEDLINE | ID: covidwho-1819119

ABSTRACT

OBJECTIVE: To identify factors that lead to a positive oxygenation response and predictive factors of mortality after prone positioning. METHODS: This was a retrospective, multicenter, cohort study involving seven hospitals in Brazil. Inclusion criteria were being > 18 years of age with a suspected or confirmed diagnosis of COVID-19, being on invasive mechanical ventilation, having a PaO2/FIO2 ratio < 150 mmHg, and being submitted to prone positioning. After the first prone positioning session, a 20 mmHg improvement in the PaO2/FIO2 ratio was defined as a positive response. RESULTS: The study involved 574 patients, 412 (72%) of whom responded positively to the first prone positioning session. Multiple logistic regression showed that responders had lower Simplified Acute Physiology Score III (SAPS III)/SOFA scores and lower D-dimer levels (p = 0.01; p = 0.04; and p = 0.04, respectively). It was suggested that initial SAPS III and initial PaO2/FIO2 were predictors of oxygenation response. The mortality rate was 69.3%. Increased risk of mortality was associated with age (OR = 1.04 [95 CI: 1.01-1.06]), time to first prone positioning session (OR = 1.18 [95 CI: 1.06-1.31]), number of sessions (OR = 1.31 [95% CI: 1.00-1.72]), proportion of pulmonary impairment (OR = 1.55 [95% CI: 1.02-2.35]), and immunosuppression (OR = 3.83 [95% CI: 1.35-10.86]). CONCLUSIONS: Our results show that most patients in our sample had a positive oxygenation response after the first prone positioning session. However, the mortality rate was high, probably due to the health status and the number of comorbidities of the patients, as well as the severity of their disease. Our results also suggest that SAPS III and the initial PaO2/FIO2 predict the oxygenation response; in addition, age, time to first prone positioning, number of sessions, pulmonary impairment, and immunosuppression can predict mortality.


Subject(s)
COVID-19 , Respiratory Distress Syndrome , Cohort Studies , Humans , Positive-Pressure Respiration/methods , Prone Position/physiology , Respiration, Artificial/methods , Respiratory Distress Syndrome/therapy , Retrospective Studies
2.
Ferreira, Juliana C.; Ho, Yeh-Li, Besen, Bruno A. M. P.; Malbuisson, Luiz M. S.; Taniguchi, Leandro U.; Mendes, Pedro V.; Costa, Eduardo L. V.; Park, Marcelo, Daltro-Oliveira, Renato, Roepke, Roberta M. L.; Silva Jr, João M.; Carmona, Maria José C.; Carvalho, Carlos Roberto Ribeiro, Hirota, Adriana, Kanasiro, Alberto Kendy, Crescenzi, Alessandra, Fernandes, Amanda Coelho, Miethke-Morais, Anna, Bellintani, Arthur Petrillo, Canasiro, Artur Ribeiro, Carneiro, Bárbara Vieira, Zanbon, Beatriz Keiko, Batista, Bernardo Pinheiro De Senna Nogueira, Nicolao, Bianca Ruiz, Besen, Bruno Adler Maccagnan Pinheiro, Biselli, Bruno, Macedo, Bruno Rocha De, Toledo, Caio Machado Gomes De, Pompilio, Carlos Eduardo, 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 Júnior, Elson Mendes Da, Regalio, Fabiane Aliotti, Segura, Gabriela Cardoso, Marcelino, Gustavo Brasil, Louro, Giulia Sefrin, Ho, Yeh-Li, Ferreira, Isabela Argollo, Gois, Jeison de Oliveira, Silva Junior, Joao Manoel Da, Reusing Junior, Jose Otto, Ribeiro, Julia Fray, Ferreira, Juliana Carvalho, Galleti, Karine Vusberg, Silva, Katia Regina, Isensee, Larissa Padrao, Oliveira, Larissa dos Santos, Taniguchi, Leandro Utino, Letaif, Leila Suemi, Lima, Lígia Trombetta, Park, Lucas Yongsoo, Chaves Netto, Lucas, Nobrega, Luciana Cassimiro, Haddad, Luciana, Hajjar, Ludhmila, Malbouisson, Luiz Marcelo, Pandolfi, Manuela Cristina Adsuara, Park, Marcelo, Carmona, Maria José Carvalho, Andrade, Maria Castilho Prandini H. De, Santos, Mariana Moreira, Bateloche, Matheus Pereira, Suiama, Mayra Akimi, Oliveira, Mayron Faria de, Sousa, Mayson Laercio, Louvaes, Michelle, Huemer, Natassja, Mendes, Pedro, Lins, Paulo Ricardo Gessolo, Santos, Pedro Gaspar Dos, Moreira, Pedro Ferreira Paiva, Guazzelli, Renata Mello, Reis, Renato Batista Dos, Oliveira, Renato Daltro De, Roepke, Roberta Muriel Longo, Pedro, Rodolpho Augusto De Moura, Kondo, Rodrigo, Rached, Samia Zahi, Fonseca, Sergio Roberto Silveira Da, Borges, Thais Sousa, Ferreira, Thalissa, Cobello Junior, Vilson, Sales, Vivian Vieira Tenório, Ferreira, Willaby Serafim Cassa, Group, E. PICCoV Study.
Clinics ; 75:e2294-e2294, 2020.
Article in English | LILACS (Americas) | ID: grc-742344

ABSTRACT

OBJECTIVES: We designed a cohort study to describe characteristics and outcomes of patients with coronavirus disease (COVID-19) admitted to the intensive care unit (ICU) in the largest public hospital in Sao Paulo, Brazil, as Latin America becomes the epicenter of the pandemic. METHODS: This is the protocol for a study being conducted at an academic hospital in Brazil with 300 adult ICU beds dedicated to COVID-19 patients. We will include adult patients admitted to the ICU with suspected or confirmed COVID-19 during the study period. The main outcome is ICU survival at 28 days. Data will be collected prospectively and retrospectively by trained investigators from the hospital's electronic medical records, using an electronic data capture tool. We will collect data on demographics, comorbidities, severity of disease, and laboratorial test results at admission. Information on the need for advanced life support and ventilator parameters will be collected during ICU stay. Patients will be followed up for 28 days in the ICU and 60 days in the hospital. We will plot Kaplan-Meier curves to estimate ICU and hospital survival and perform survival analysis using the Cox proportional hazards model to identify the main risk factors for mortality. ClinicalTrials.gov: NCT04378582. RESULTS: We expect to include a large sample of patients with COVID-19 admitted to the ICU and to be able to provide data on admission characteristics, use of advanced life support, ICU survival at 28 days, and hospital survival at 60 days. CONCLUSIONS: This study will provide epidemiological data about critically ill patients with COVID-19 in Brazil, which could inform health policy and resource allocation in low- and middle-income countries.

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