RESUMO
BACKGROUND: Glomerular filtration rate (GFR) is considered the indicator of overall kidney function, and therefore, its assessment has become an important clinical tool in the daily care of chronic glomerulonephritis (CGN) patients. Currently, practical guidelines recommend using Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations to assess GFR in CKD patients. METHODS: A cross-sectional study was performed in CGN patients. Standard GFR was measured using 24-hour urine creatinine clearance. GFR was estimated using the Cockcroft-Gault, Modification of Diet in Renal Disease, CKD-EPI equation based creatinine, cystatin C, and combined creatinine and cystatin C. The performance of GFR estimation equations were examined using bias, precision and accuracy and agreement between standard GFR and estimated GFR by calculating Cohen's k. RESULTS: A total of 125 patients (74 male, 59.2%) with mean age 56.1±18.1 years were included. Mean standard GFR was 51.6±32.2 mL/min per 1.73 m(2). A significant correlation was found between standard GFR and all estimated GFRs (r=0.573 to 0.660, P<0.001). CKD-EPI-creatinine-cystatin C equation had the smallest absolute bias and the significantly highest accuracy, although it was not significantly different from CKD-EPI-cystatin C equation (P=0.523). CKD-EPI-creatinine-cystatin C equation had the highest accuracy to classify CKD staging (Cohen's k=0.345), but it underestimated GFR in 32% and overestimated GFR in 18% of the CGN patients. CONCLUSION: CKD-EPI-creatinine-cystatin C equation estimated GFR with little bias, and the highest accuracy among CGN patients. This equation gave a better estimate of GFR than the equation based on serum creatinine.
RESUMO
AIM: Obesity represents a significant problem in patients with cardiovascular disease and chronic kidney disease (CKD). The aim of the present study was to investigate the association between body mass index (BMI) and CKD in Thai individuals. METHODS: Participants underwent general health screening. Overweight, weight at risk, obese I and obese II were defined as having a BMI ≥23 kg/m(2), 23-24.9 kg/m(2) , 25-29.9 kg/m(2) and ≥30 kg/m(2), respectively. Waist circumference ≥ 90 cm for men and > 80 cm for women were represented by abdominal obesity. CKD was defined as a glomerular filtration rate (GFR) < 60 mL/min per 1.73 m(2). An estimate of the GFR was obtained by the four-variable Modification of Diet in Renal Disease (MDRD) equation. RESULTS: The study population had 12 348 males and 3009 females. The survey population had a 7.5% prevalence of CKD. There was also a significant graded relationship between the degrees of overweight with the prevalence of CKD. Mean BMI were 25.36 ± 3.29 kg/m(2) for CKD subjects and 24.04 ± 3.13 kg/m(2) for non-CKD subjects (P < 0.001). Prevalence of overweight and abdominal obesity in the participants with CKD were found to be higher than in those without CKD (overweight, 77.6% vs. 61.6%, P < 0.001; abdominal obesity, 35.7% vs. 25.3%, P < 0.001). In a multivariate logistic regression analysis, weight at risk (adjusted odds ratio 1.29; 95% CI 1.07-1.54), obese I (adjusted odds ratio 1.58; 95% CI 1.33-1.87) and obese II (adjusted odds ratio 1.65; 95% CI 1.24-2.19) were associated with CKD. CONCLUSION: Our data showed that overweight and obesity were associated with CKD in Thai members of the army population and their relatives undergoing a general health screening, independently of age, gender, blood pressure, serum lipid, uric acid and glucose levels.