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A clinical model to predict successful renal replacement therapy (RRT) discontinuation in patients with Acute Kidney Injury (AKI) RRT (RRT AKI (AKI
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Valle, Eduardo de Oliveira
; Smolentzov, Igor
; Gorzoni, João Lucas Martins
; Salgado, Isabela Cavalcante
; Mainardes, Lorena Catelan
; Gomes, Vanessa Oliveira
; Mélo Júnior, Charles Hamilton
; Rodrigues, Camila Eleuterio
; Vieira Júnior, José Mauro
.
Abstract Introduction Ideal timing of Renal Replacement Therapy (RRT) discontinuation in Acute Kidney Injury (AKI) is still unknown. We aimed to study the role of creatinine-related variables in predicting RRT successful discontinuation and to propose a clinical predictive score. Methods In this single-centre retrospective study, we evaluated all AKI patients in whom RRT was interrupted for at least 48 hours. Patients who were still RRT-independent 7 days after initial RRT cessation were included in the “Success” group and opposed to the “Failure” group. We evaluated baseline characteristics and variables collected at the time of RRT interruption, as well as the Kinetic estimated Glomerular Filtration Rate (KeGFR), the simple variation in serum Creatinine (ΔsCr), and the incremental creatinine ratio on the first three days after RRT interruption. Multivariable analysis was performed to evaluate prediction of success. Internal validation using a simple binomial generalized regression model with Lasso estimation and 5-fold cross validation method was performed. Results We included 124 patients, 49 in the “Failure” group and 75 in the “Success” group. All creatinine-related variables predicted success in simple and multiple logistic regression models. The best model generated a clinical score based on the odds ratio obtained for each variable and included urine output, non-renal SOFA score, fluid balance, serum urea, serum potassium, blood pH, and the variation in sCr values after RRT discontinuation. The score presented an area under the ROC of 0.86 (95% CI 0.76‒1.00). Conclusion Creatinine variation between the first 2 consecutive days after RRT discontinuation might predict success in RRT discontinuation. The developed clinical score based on these variables might be a useful clinical decision tool to guide hemodialysis catheter safe removal. (RRT (AKI unknown creatininerelated related singlecentre single centre 4 hours RRTindependent independent Success “Success Failure “Failure interruption KeGFR, KeGFR , (KeGFR) ΔsCr, ΔsCr (ΔsCr) 5fold fold 5 12 models output nonrenal non renal balance urea potassium pH 086 0 86 0.8 95% 95 (95 0.76‒1.00. 076100 0.76‒1.00 . 76 1 00 0.76‒1.00) removal (KeGFR (ΔsCr 08 8 0. 9 (9 07610 0.76‒1.0 ( 0761 0.76‒1. 076 0.76‒1 07 0.76‒ 0.76 0.7
2.
Epidemiologia e desfecho dos pacientes de alto risco cirúrgico admitidos em unidades de terapia intensiva no Brasil
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Silva Júnior, João Manoel
; Chaves, Renato Carneiro de Freitas
; Corrêa, Thiago Domingos
; Assunção, Murillo Santucci Cesar de
; Katayama, Henrique Tadashi
; Bosso, Fabio Eduardo
; Amendola, Cristina Prata
; Serpa Neto, Ary
; Malbouisson, Luiz Marcelo Sá
; Oliveira, Neymar Elias de
; Veiga, Viviane Cordeiro
; Rojas, Salomón Soriano Ordinola
; Postalli, Natalia Fioravante
; Alvarisa, Thais Kawagoe
; Lucena, Bruno Melo Nobrega de
; Oliveira, Raphael Augusto Gomes de
; Sanches, Luciana Coelho
; Silva, Ulysses Vasconcellos de Andrade e
; Nassar Junior, Antonio Paulo
; Réa-Neto, Álvaro
; Amaral, Alexandre
; Teles, José Mário
; Freitas, Flávio Geraldo Rezende de
; Bafi, Antônio Tonete
; Pacheco, Eduardo Souza
; Ramos, Fernando José
; Vieira Júnior, José Mauro
; Pereira, Maria Augusta Santos Rahe
; Schwerz, Fábio Sartori
; Menezes, Giovanna Padoa de
; Magalhães, Danielle Dourado
; Castro, Cristine Pilati Pileggi
; Henrich, Sabrina Frighetto
; Toledo, Diogo Oliveira
; Parra, Bruna Fernanda Camargo Silva
; Dias, Fernando Suparregui
; Zerman, Luiza
; Formolo, Fernanda
; Nobrega, Marciano de Sousa
; Piras, Claudio
; Piras, Stéphanie de Barros
; Conti, Rodrigo
; Bittencourt, Paulo Lisboa
; D’Oliveira, Ricardo Azevedo Cruz
; Estrela, André Ricardo de Oliveira
; Oliveira, Mirella Cristine de
; Reese, Fernanda Baeumle
; Motta Júnior, Jarbas da Silva
; Câmara, Bruna Martins Dzivielevski da
; David-João, Paula Geraldes
; Tannous, Luana Alves
; Chaiben, Viviane Bernardes de Oliveira
; Miranda, Lorena Macedo Araújo
; Brasil, José Arthur dos Santos
; Deucher, Rafael Alexandre de Oliveira
; Ferreira, Marcos Henrique Borges
; Vilela, Denner Luiz
; Almeida, Guilherme Cincinato de
; Nedel, Wagner Luis
; Passos, Matheus Golenia dos
; Marin, Luiz Gustavo
; Oliveira Filho, Wilson de
; Coutinho, Raoni Machado
; Oliveira, Michele Cristina Lima de
; Friedman, Gilberto
; Meregalli, André
; Höher, Jorge Amilton
; Soares, Afonso José Celente
; Lobo, Suzana Margareth Ajeje
.
RESUMO Objetivo: Definir o perfil epidemiológico e os principais determinantes de morbimortalidade dos pacientes cirúrgicos não cardíacos de alto risco no Brasil. Métodos: Estudo prospectivo, observacional e multicêntrico. Todos os pacientes cirúrgicos não cardíacos admitidos nas unidades de terapia intensiva, ou seja, considerados de alto risco, no período de 1 mês, foram avaliados e acompanhados diariamente por, no máximo, 7 dias na unidade de terapia intensiva, para determinação de complicações. As taxas de mortalidade em 28 dias de pós-operatório, na unidade de terapia intensiva e hospitalar foram avaliadas. Resultados: Participaram 29 unidades de terapia intensiva onde foram realizadas cirurgias em 25.500 pacientes, dos quais 904 (3,5%) de alto risco (intervalo de confiança de 95% - IC95% 3,3% - 3,8%), tendo sido incluídos no estudo. Dos pacientes envolvidos, 48,3% eram de unidades de terapia intensiva privadas e 51,7% de públicas. O tempo de internação na unidade de terapia intensiva foi de 2,0 (1,0 - 4,0) dias e hospitalar de 9,5 (5,4 - 18,6) dias. As taxas de complicações foram 29,9% (IC95% 26,4 - 33,7) e mortalidade em 28 dias pós-cirurgia 9,6% (IC95% 7,4 - 12,1). Os fatores independentes de risco para complicações foram Simplified Acute Physiology Score 3 (SAPS 3; razão de chance − RC = 1,02; IC95% 1,01 - 1,03) e Sequential Organ Failure Assessment Score (SOFA) da admissão na unidade de terapia intensiva (RC =1,17; IC95% 1,09 - 1,25), tempo de cirurgia (RC = 1,001; IC95% 1,000 - 1,002) e cirurgias de emergências (RC = 1,93; IC95% 1,10 - 3,38). Em adição, foram associados com mortalidade em 28 dias idade (RC = 1,032; IC95% 1,011 - 1,052) SAPS 3 (RC = 1,041; IC95% 1,107 - 1,279), SOFA (RC = 1,175; IC95% 1,069 - 1,292) e cirurgias emergenciais (RC = 2,509; IC95% 1,040 - 6,051). Conclusão: Pacientes com escores prognósticos mais elevados, idosos, tempo cirúrgico e cirurgias emergenciais estiveram fortemente associados a maior mortalidade em 28 dias e mais complicações durante permanência em unidade de terapia intensiva.
ABSTRACT Objective: To define the epidemiological profile and the main determinants of morbidity and mortality in noncardiac high surgical risk patients in Brazil. Methods: This was a prospective, observational and multicenter study. All noncardiac surgical patients admitted to intensive care units, i.e., those considered high risk, within a 1-month period were evaluated and monitored daily for a maximum of 7 days in the intensive care unit to determine complications. The 28-day postoperative, intensive care unit and hospital mortality rates were evaluated. Results: Twenty-nine intensive care units participated in the study. Surgeries were performed in 25,500 patients, of whom 904 (3.5%) were high-risk (95% confidence interval - 95%CI 3.3% - 3.8%) and were included in the study. Of the participating patients, 48.3% were from private intensive care units, and 51.7% were from public intensive care units. The length of stay in the intensive care unit was 2.0 (1.0 - 4.0) days, and the length of hospital stay was 9.5 (5.4 - 18.6) days. The complication rate was 29.9% (95%CI 26.4 - 33.7), and the 28-day postoperative mortality rate was 9.6% (95%CI 7.4 - 12.1). The independent risk factors for complications were the Simplified Acute Physiology Score 3 (SAPS 3; odds ratio - OR = 1.02; 95%CI 1.01 - 1.03) and Sequential Organ Failure Assessment Score (SOFA) on admission to the intensive care unit (OR = 1.17; 95%CI 1.09 - 1.25), surgical time (OR = 1.001, 95%CI 1.000 - 1.002) and emergency surgeries (OR = 1.93, 95%CI, 1.10 - 3.38). In addition, there were associations with 28-day mortality (OR = 1.032; 95%CI 1.011 - 1.052), SAPS 3 (OR = 1.041; 95%CI 1.107 - 1.279), SOFA (OR = 1.175, 95%CI 1.069 - 1.292) and emergency surgeries (OR = 2.509; 95%CI 1.040 - 6.051). Conclusion: Higher prognostic scores, elderly patients, longer surgical times and emergency surgeries were strongly associated with higher 28-day mortality and more complications during the intensive care unit stay.
https://doi.org/10.5935/0103-507x.20200005
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