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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Discrimination model applied to urinalysis of patients with diabetes and hypertension aiming at diagnosis of chronic kidney disease by Raman spectroscopy

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Autor(es):
de Souza Vieira, Elzo Everton ; Martins Bispo, Jeyse Aliana ; Silveira, Jr., Landulfo ; Fernandes, Adriana Barrinha
Número total de Autores: 4
Tipo de documento: Artigo Científico
Fonte: Lasers in Medical Science; v. 32, n. 7, p. 1605-1613, SEP 2017.
Citações Web of Science: 3
Resumo

Higher blood pressure level and poor glycemic control in diabetic patients are considered progression factors that cause faster decline in kidney functions leading to kidney damage. The present study aimed to develop a quantification model of biomarkers creatinine, urea, and glucose by means of selected peaks of these compounds, measured by Raman spectroscopy, and to estimate the concentration of these analytes in the urine of normal subjects (G\_N), diabetic patients with hypertension (G\_WOL) patients with chronic renal failure doing dialysis (G\_D). Raman peak intensities at 680 cm(-1) (creatinine), 1004 cm(-1) (urea), and 1128 cm(-1) (glucose) from normal, diabetic, and hypertensive and doing dialysis patients, obtained with a dispersive 830 nm Raman spectrometer, were estimated through Origin software. Spectra of creatinine, urea, and glucose diluted in water were also obtained, and the same peaks were evaluated. A discrimination model based on Mahalanobis distance was developed. It was possible to determine the concentration of creatinine, urea, and glucose by means of the Raman peaks of the selected biomarkers in the urine of the groups G\_N, G\_WOL, and G\_D (r = 0.9). It was shown that the groups G\_WOL and G\_D had lower creatinine and urea concentrations than the group G\_N (p < 0.05). The classification model based on Mahalanobis distance applied to the concentrations of creatinine, urea, and glucose presented a correct classification of 89% for G\_N, 86% for G\_WOL, and 79% for G\_D. It was possible to obtain quantitative information regarding important biomarkers in urine for the assessment of renal impairment in patients with diabetes and hypertension, and this information can be correlated with clinical criteria for the diagnosis of chronic kidney disease. (AU)

Processo FAPESP: 09/01788-5 - Espectroscopia Raman dispersiva utilizando fibras ópticas "Raman probe" aplicada ao diagnóstico de neoplasias na pele e próstata
Beneficiário:Landulfo Silveira Junior
Modalidade de apoio: Auxílio à Pesquisa - Regular