Background Recent studies have shown that the serum uric acid/creatinine ratio (SUA/SCr) is a better predictor of chronic kidney disease (CKD) than serum uric acid (SUA) isolated. The aim of the present study was to evaluate the association of isolated SUA and the SUA/SCr with CKD in hypertensive patients. Methods Cross-sectional study conducted with hypertensive patients followed-up by the Primary Health Care Service (PHC). Sociodemographic, economic, lifestyle, clinical, anthropometric, and biochemical variables were evaluated. The association between SUA parameters (quartiles of SUA and quartiles of SUA/SCr) and CKD was evaluated by bivariate and multivariate logistic regression. The association between SUA parameters (SUA and SUA/SCr) and estimated glomerular filtration rate (eGFR) was evaluated by linear regression. The analyses were performed considering four adjustment models. SUA and SUA/SCr were compared by receiver operating characteristic (ROC) curve. Results In the fully adjusted model, SUA was positively associated with the presence of CKD (OR = 6.72 [95 % CI 1.96–22.96]) and inversely associated with eGFR (β Coef. = -2.41 [95 % CI -3.44; -1.39]). SUA/SCr was positively associated with eGFR (β Coef. = 2.39 [1.42; 3.36]). According to the ROC curve, the SUA is a better predictor of CKD than the SUA/SCr. Conclusions Elevated levels of isolated SUA were associated with CKD and eGFR. However, the SUA/SCr was not associated with CKD. We do not recommend using the SUA/SCr to predict CKD in hypertensive patients.

ObjectiveThe aim of this study was to identify patterns related to health and their association with chronic kidney disease (CKD) in the Brazilian population.MethodsWe used data from the National Health Survey (PNS), 2019. Participants were interviewed and answered questions related to socioeconomic and demographic information (gender, age, education, race/color), health conditions (presence of hypertension, diabetes mellitus, hyperlipidemia, cardiovascular disease, overweight and CKD) and lifestyle (smoking, alcohol consumption, physical activity and food consumption). To identify patterns, we used exploratory factor analysis. We performed logistic regression models to describe the association of CKD with each pattern in crude models and adjusted for gender, age group, education level and race/color.ResultsA total of 90,846 individuals were evaluated. The prevalence of CKD was 1.49% (95% CI: 1.3–1.6). Three health-related patterns – metabolic factors, behavioral risk factors and behavioral protective factors – were identified by factor analysis. Metabolic factors were determined by the presence of hypertension, diabetes mellitus, hyperlipidemia and cardiovascular diseases. Behavioral risk factors were determined by smoking, alcohol consumption, regular consumption of soft drinks, sweets and artificial juices, and high salt consumption. The protective behavioral factors were established by the practice of physical activity and regular consumption of vegetables and fruits. Participants of the highest tertile for metabolic factors were more likely to have CKD in the adjusted model (OR = 3.61, 95% CI: 2.69–4.85), when compared to those of the lower tertile.ConclusionThe pattern referring to metabolic factors was associated with a higher chance of presenting CKD.

As doenças crônicas não transmissíveis são consideradas um grave problema de saúde pública, com maior prevalência em idosos. Neste contexto, a realização de grupos educativos é vista como uma estratégia de prevenção de agravos no âmbito da Atenção Primária à Saúde. O objetivo deste estudo foi analisar o papel das estratégias de educação em saúde realizadas com idosos portadores de hipertensão arterial e diabetes melito. Realizou-se um ensaio clínico não randomizado, com abordagem quali-quantitativa, entre os meses de abril a agosto de 2019. A amostra foi composta por 10 portadores de diabetes e/ou hipertensão, com idade maior ou igual a 60 anos. A intervenção foi feita por meio de oficinas educativas em grupo, que tratavam sobre temas relacionados à alimentação e mudança de hábitos. Inicialmente, foram reunidas informações sobre características sociodemográficas, hábitos de vida, percepção da saúde e conhecimento sobre as doenças. Também, foram coletadas variáveis clínicas, antropométricas e de consumo alimentar. Os resultados apontaram baixo conhecimento sobre as doenças e algumas variações nos dados clínicos e de consumo alimentar. Portanto, após a realização das estratégias educativas, os participantes obtiveram melhor percepção de saúde e mudanças pontuais no consumo alimentar e em variáveis clínicas, porém, sem significância estatística.