O papel do NGAL urinário como preditor diagnóstico e prognóstico da lesão aguda associada a sepse em pacientes admitidos na emergência clínica

• Ano de defesa: 2015
• Autor(a) principal: Nga, Hong Si [UNESP]
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Estadual Paulista (Unesp)
• Palavras-chave em Português: Septicemia; Rins - Doenças; Infecções urinarias; Marcadores biologicos; Kidneys - Diseases
• Link de acesso: http://hdl.handle.net/11449/126488; http://www.athena.biblioteca.unesp.br/exlibris/bd/cathedra/08-07-2015/000839885.pdf

Background: The mortality of septic patients and AKI is inaceptable high, showing the need for preventive measures. There are few Brazilian studies showing the incidence of AKI in clinical emergencies rooms (ER) and identify risk factors for its development, and early markers of diagnosis of AKI and prognosis of patients. NGAL is a serum and urinary (u) promising biomarker for early detection of AKI. Objectives: This study aimed to evaluate the efficacy of uNGAL as a diagnostic and prognostic predictor of AKI associated with sepsis in patients admitted to the ER. Methodology: We prospectively studied patients admitted to the ER diagnosed with sepsis during the period of February 1, 2013 to May 31, 2014. For each patient, a protocol was developed containing clinical and laboratory data from the patients admission to the discharge of the hospital (resolution or death). The assessment of renal function was performed daily by serum creatinine, urine output, and dosage of uNGAL within the first 24 hours after admission (1), between 24-48 h (2) and at moment of AKI diagnosis (3). The results were presented using descriptive statistics of the study population and different statistical tests according to the study objectives. Logistic regression and ROC area under curve was used to determine the ability of uNGAL to discriminate the AKI diagnosis and prognosis of septic patients. Results: One hundred eight patients were included, of which 72% were diagnosed with AKI. In logistic regression, age> 65 years, septic shock, need for mechanical ventilation (MV) and the uNGAL 2 were identified as factors associated with AKI. Regarding the accuracy, uNGAL 1 and 2, as well as uNGAL / uCr 1 and 2 showed an area under the ROC curve for AKI> 0.7, with sensibility between 0.63 and 0.75. The risk factors identified in the logistic regression for death were septic shock, presence of AKI AKIN 3 and APACHE II> 20. As predictors of death, the precision of uNGAL1, ...