Publicação: Factors predicting successful discontinuation of acute kidney replacement therapy: A retrospective cohort study
Carregando...
Data
Orientador
Coorientador
Pós-graduação
Curso de graduação
Título da Revista
ISSN da Revista
Título de Volume
Editor
Tipo
Artigo
Direito de acesso
Resumo
Background: Treatment for severe acute kidney injury (AKI) typically involves the use of acute kidney replacement therapy (AKRT) to prevent or reverse complications. Methodology: We aimed to determine the prevalence of successful discontinuation of AKRT and its predictive factors. A retrospective cohort study was performed with 316 patients hospitalized at a public Brazilian university hospital between January 2011 and June 2020. Results: Success and hospital discharge were achieved for most patients (85% and 74%, respectively). Multivariable logistic regression analysis showed that C-reactive protein (CRP), urine output, and need mechanical ventilation at the time of interruption were variable associated with discontinuation success (OR 0.969, CI 0.918–0.998, p = 0.031; OR 1.008, CI 1.001–1.012, p = 0.041 and OR 0.919, CI 0.901–0.991, p = 0.030; respectively), while the absence of comorbidities such as chronic kidney disease (OR 0.234, CI 0.08–0.683, p = 0.008), cardiovascular disease (OR 0.353, CI 0.134–0.929, p = 0.035) and hypertension (OR 0.278, CI 0.003–0.882, p = 0.009), as well as pH values at the time of AKRT indication (OR 1.273, CI 1.003–1.882, p = 0.041), mechanical ventilation at the time of interruption (OR 0.19, CI 0.19–0.954, p = 0.038) and successful discontinuation (OR 8.657, CI 3.135–23.906, p < 0.001) were identified as variables associated with hospital discharge. Conclusion: These results show that clinical conditions such as comorbidities, urine output, and mechanical ventilation, and laboratory variables such as pH and CRP are factors associated with hospital discharge and AKRT discontinuation success, requiring larger studies for confirmation.
Descrição
Palavras-chave
acute kidney injury, discontinuation, predictive factors, renal replacement therapy, success
Idioma
Inglês
Como citar
Artificial Organs, v. 47, n. 1, p. 187-197, 2023.
