Mayaro virus detection in the western region of Pará state, Brazil.

INTRODUCTION: Mayaro virus (MAYV) was found in Pará state, Brazil, in 1955. Since then, sporadic outbreaks have occurred in different regions of the country. METHODS: Serum sample were collected from 49 individuals in 2016 and were initially tested for dengue virus (DENV) by real-time (RT) polymerase chain reaction (PCR). DENV-negative samples were tested for MAYV and Oropouche virus (OROV) by multiplexed RT quantitative PCR. RESULTS: All samples were negative for DENV and OROV, but MAYV was detected in four samples. CONCLUSIONS: Differential diagnoses of acute febrile syndrome are required, especially in regions where several arboviruses with similar clinical manifestations are endemic.

Indicadores de saúde em usuários de uma unidade básica de saúde da cidade de Santarém, Pará, Brasil / Health indicators in users of a basic health unit in the city of Santarém, Pará, Brazil

Introdução: Usuários do sistema de saúde com doenças crônicas não transmissíveis devem estar em acompanhamento constante para evitar complicações em seu estado de saúde. Objetivo: Analisar os indicadores laboratoriais de saúde em usuários de uma Unidade Básica de Saúde com e sem o diagnóstico para a diabetes e hipertensão. Métodos: A amostra foi de 231 usuários de uma unidade básica de saúde da cidade de Santarém-PA, maiores de idade, que foram agrupados em pacientes com DM/HAS (DM/HAS; n=144), e sem o diagnóstico para DM/HAS (AUS; n=87). As coletas envolveram informações socioeconômicas, clínicas e laboratoriais. Os dados foram tratados com estatística descritiva e inferencial, adotando-se p<0.05. Resultados: Tanto no DM/HAS como no AUS predominou o sexo feminino, estado civil casado, com vínculo empregatício, cor de pele parda, com 4-7 anos de estudo, renda de 1-2 salários, não tabagistas, não etilista e faixa etária de 38-77 anos. A HAS foi a doença mais presente de forma geral, bem como por sexo. Identificou-se no DM/HAS valores menores para a taxa de filtração glomerular (TFG) e maiores valores para a glicemia, triglicerídeos, colesterol total, LDL-c e não HDL-c. Conclusão: De acordo com a proposta desenvolvida, destaca-se que os usuários com DM/HAS apresentam associação positiva para valores alterados de glicemia, colesterol total, não HDL-c, triglicerídeos, TFG e para a presença da síndrome metabólica e risco cardiovascular moderado/alto.

Introduction: Users of the health system with chronic non-communicable diseases must be constantly monitored to avoid complications in their health status. Objective: Analyze laboratory health indicators in users of a Basic Health Unit with and without a diagnosis for diabetes and hypertension. Methods: The sample consisted of 231 users of a basic health unit in the city of Santarém-PA, all of them of age, grouped into patients with DM/SAH (DM/SAH; n=144), and without the diagnosis for DM/SAH (ABS; n=87). The collections involved socioeconomic, clinical, and laboratory information. The data were treated with descriptive and inferential statistics, adopting p <0.05. Results: In both DM/SAH and ABS groups, there was a predominance of female individuals, married status, employed, brown skin color, with 4-7 years of study, income of 1-2 salaries, non-smokers, non-alcoholic drinkers, and aged between 38-77 years. SAH was the most common disease in general, as well as when analyzing by gender. Lower values for the glomerular filtration rate (GFR) were identified in the DM/SAH and higher values for the glycemia, triglycerides, total cholesterol, LDL-c, and non-HDL-c. Conclusion: According to the proposal of this paper, it is noteworthy that users with DM/SAH have a positive association for altered values of blood glucose, total cholesterol, non-HDL-c, triglycerides, GFR, and for the presence of metabolic syndrome and moderate/high cardiovascular risk.

Avaliação da função renal através de biomarcadores e equação de cockcroft-gault / Renal function evaluation by biomarkers and cockcroft-gault equation

Objetivo: avaliar a Taxa de Filtração Glomerular através da dosagem dos biomarcadores ureia e creatinina, na qual foi utilizado o Labtest, bem como a aplicação da fórmula de Cockcroft-Gault. Metodologia: a pesquisa foi realizada com base no Arco de Maguerez e submetida ao Comitê de ética em pesquisa, após aprovação foi aplicada a 31 funcionários da Escola Municipal de Ensino Fundamental Professora Tereza Neuma do município de Santarém no período de 20 de outubro a 05 de novembro. Resultados: com base nos formulários aplicados como idade, sexo e o consumo de água diário obteve-se que 6,45% dos funcionários com idade entre 40-49(35,5%) obtiveram disfunção renal moderada. Conclusão: apesar da ingestão adequada de água, foram encontradas alterações nas TFG com indicativo de lesão renal moderada, deixando evidente que o consumo adequado de água nem sempre é totalmente eficiente para a prevenção de problemas renais, pois esses podem ser associados a fatores ambientais, como dietas e patologias.

Objective: to evaluate the Glomerular Filtration Rate through urea and creatinine biomarkers dosage, inwhich Labtest and Cockcroft-Gault formula was applied. Methodology: the research was performed based onArch of Maguerez and submitted to research ethics committee, which after approval was applied on 31employees from the Elementary Teaching Municipal School Professor Tereza Neuma of Santarém from October 20 to November 5. Results: Based on the applied survey of age, gender and daily water consumption, it wasverified that 6.45% of employees aged 40-49 (35.5%) had moderate renal dysfunction. Conclusion: Despiteadequate water consumption, alterations on GFR with indications of moderate renal injury were observed,suggesting that adequate water consumption is not always totally efficient for kidney.

Estimating the concentration of urea and creatinine in the human serum of normal and dialysis patients through Raman spectroscopy.

Urea and creatinine are commonly used as biomarkers of renal function. Abnormal concentrations of these biomarkers are indicative of pathological processes such as renal failure. This study aimed to develop a model based on Raman spectroscopy to estimate the concentration values of urea and creatinine in human serum. Blood sera from 55 clinically normal subjects and 47 patients with chronic kidney disease undergoing dialysis were collected, and concentrations of urea and creatinine were determined by spectrophotometric methods. A Raman spectrum was obtained with a high-resolution dispersive Raman spectrometer (830 nm). A spectral model was developed based on partial least squares (PLS), where the concentrations of urea and creatinine were correlated with the Raman features. Principal components analysis (PCA) was used to discriminate dialysis patients from normal subjects. The PLS model showed r = 0.97 and r = 0.93 for urea and creatinine, respectively. The root mean square errors of cross-validation (RMSECV) for the model were 17.6 and 1.94 mg/dL, respectively. PCA showed high discrimination between dialysis and normality (95 % accuracy). The Raman technique was able to determine the concentrations with low error and to discriminate dialysis from normal subjects, consistent with a rapid and low-cost test.

Quantifying creatinine and urea in human urine through Raman spectroscopy aiming at diagnosis of kidney disease.

Due to their importance in the regulation of metabolites, the kidneys need continuous monitoring to check for correct functioning, mainly by urea and creatinine urinalysis. This study aimed to develop a model to estimate the concentrations of urea and creatinine in urine by means of Raman spectroscopy (RS) that could be used to diagnose kidney disease. Midstream urine samples were obtained from 54 volunteers with no kidney complaints. Samples were subjected to a standard colorimetric assay of urea and creatinine and submitted to spectroscopic analysis by means of a dispersive Raman spectrometer (830 nm, 350 mW, 30 s). The Raman spectra of urine showed peaks related mainly to urea and creatinine. Partial least squares models were developed using selected Raman bands related to urea and creatinine and the biochemical concentrations in urine measured by the colorimetric method, resulting in r = 0.90 and 0.91 for urea and creatinine, respectively, with root mean square error of cross-validation (RMSEcv) of 312 and 25.2 mg/dL, respectively. RS may become a technique for rapid urinalysis, with concentration errors suitable for population screening aimed at the prevention of renal diseases.