ABSTRACT
Abstract Background Cardiovascular disease (CVD) is commonly associated with chronic kidney disease (CKD). These diseases have a significant impact on life expectancy. Individuals with CKD are more likely to die from CVD than to progress to end-stage kidney disease. Objective To assess cardiovascular risk factors of patients with CKD under conservative treatment. Methods This was an observational, cross-sectional study. Socioeconomic, anthropometric, biochemical, and physical inactivity data were assessed, and 10-year risk for CVD were estimated using the Framingham Score in patients with CKD under conservative treatment. For statistical analysis, the Student's t-test and Pearson's chi-square test were performed. Results A total of 172 individuals were evaluated, 57% of whom were male, with an average age of 68.85 ± 11.41 years. The prevalence of hypertension and diabetes were 87.2% and 53.5%, respectively; 62.2% were physically inactive; 9.9% of men were smokers and 12.8% consumed alcohol. According to BMI, 82.4% of adults <60 years old and 60.6% of those older than 60 years were overweight. High waist circumference and a high waist-hip ratio were highly prevalent in females (91.9% and 83.8%, respectively) and males (64.3% and 39.8%, respectively); 92.4% had a high body fat percentage and 73.3% high uric acid levels. According to the Framingham score, 57% have a medium or high risk of developing CVD in 10 years. Conclusion There was a high prevalence of cardiovascular risk factors in the population studied. The assessment of cardiovascular risk factors in patients with CKD makes it possible to guide the conduct of health professionals to prevent mortality from cardiovascular causes. Int J Cardiovasc Sci. 2020; [online].ahead print, PP.0-0
Subject(s)
Humans , Male , Female , Middle Aged , Aged , Aged, 80 and over , Cardiovascular Diseases/complications , Renal Insufficiency, Chronic/complications , Heart Disease Risk Factors , Cardiovascular Diseases/mortality , Cross-Sectional Studies , Diabetes Mellitus , Renal Insufficiency, Chronic/mortality , HypertensionABSTRACT
The aim of this study was to evaluate the concordance between adductor pollicis muscle thickness (APMT) measured by ultrasonography and adipometer and the applicability of the measurement as an indicator of the nutritional status of patients with chronic kidney disease (CKD). Methods: Epidemiological study with a cross-sectional design (n= 137). The concordance between APMT assessed by both methods were evaluated by intraclass correlation coefficient. Bland-Altman graphics were produced. APMTs were correlated with body mass index (BMI); calf circumference (CC), brachial circumference (BC) and brachial muscle (BMC); lean tissue mass (LTM); LTM index and body cell mass (BCM) via Pearson correlation. The adipometer overestimated APMT by 7 mm when compared to ultrasonography. APMT measured by adipometer was moderately correlated with BMI, CC, BC, BMC, LTM and BCM. APMT by ultrasonography was weakly correlated with CC, BMC, LTM, and LTM index. Conclusion: APMT presented weak or moderate correlation between methods. The measurement was predictive of muscle mass. We suggest that APMT be used in a complementary way in the evaluation of body composition.
El objetivo de este estudio es evaluar la concordancia entre el espesor de músculo aductor pollicis (EMAP), medido por ecografía y adipómetro, con aplicabilidad de la medición como indicador del estado nutricional de los pacientes con enfermedad renal crónica (ERC). Métodos: Estudio epidemiológico con diseño transversal. La concordancia entre los APMT estimados por ambos métodos se evaluó mediante el coeficiente de correlación intraclase y se diseñaron gráficos de Bland-Altman. En 137 pacientes con ERC, el APMT se correlacionó con índice de masa corporal (IMC); circunferencias de la pantorrilla (CP), circunferencia braquial (CB) y circunferencia del músculo braquial (CMB); masa de tejido magro (MTM); índice de masa magra (IMM) y masa celular corporal (MCC) mediante correlación de Pearson. Se obtuvo que el adipómetro sobreestima EMAP en 7 mm en comparación con la ecografía. EMAP medido por adipómetro se correlacionó moderadamente con IMC, CP, CB, CMB, MTM e IMM. EMAP por ecografía se correlacionó débilmente con el CP, CMB, MTM y IMM. Conclusión: EMAP presentó una baja o moderada correlación con otras mediciones de estado nutricional. La EMAP predice la masa muscular, ya que presentó correlación con marcadores de este compartimento. Se sugiere que EMAPse utilice de manera complementaria en la evaluación de la composición corporal.