RESUMO
INTRODUCTION: The gamma gap (γ-gap) represents the total serum protein concentration minus the albumin concentration. The main aim of this study was to test whether the gamma gap is a predictor of mortality and whether it is associated with other predictors of mortality in chronic hemodialysis patients (CHPs). MATERIALS AND METHODS: We studied a cohort of 100 CHPs with a mean age of 59 ± 12.3 years with duration of dialysis 6.5 ± 4.7 years. Serum proteins were determined by electrophoresis. The association of the gamma gap with serum C-reactive protein (CRP), fibrinogen and albumin concentration was evaluated for correlation. Cox regression analysis was used to identify the predictors of mortality. RESULTS: The γ-gap correlates positively with CRP (r = 0.247, P = 0.013) and fibrinogen (r = 0.239, P = 0.016), and inversely with albumin (r = -0.430, P < 0.0001). The regression coefficients (b) and Exp (b) hazard ratio coefficients of covariates in Cox-regression survival analysis in all-cause outcomes were: b = 0.1486, Exp (b) = 1.1602 (P < 0.0001); b = 0.0655, Exp (b) = 1.0677 (P < 0.0015) and b = -0.118, Exp (b) = 0.8887 (P < 0.0009), for γ-gap, CRP and albumin, respectively. CONCLUSIONS: In patients on chronic hemodialysis, the gamma gap, along with serum albumin and CRP levels, is an independent predictor of mortality. Gamma gap levels correlate directly with serum CRP and fibrinogen levels and inversely with serum albumin levels.
RESUMO
BACKGROUND/PURPOSE: Non-alcoholic fatty liver disease (NAFLD) patients are at increased risk of liver-related as well as cardiovascular mortality, including diabetes, coronary heart disease, and stroke, independently of traditional cardiovascular risk factors and metabolic syndrome. The aim of this study was to find out the predictive impact of hepatorenal index (HRI) in the detection of impaired glucose metabolism in asymptomatic NAFLD patients. METHODS: B-mode ultrasound examinations were performed and ultrasound images from all 89 NAFLD patients aged 50.8 ± 10.1 years were analyzed by echogenicity analyzing software and HRI was acquired, and appropriate laboratory tests for liver, glucose, and lipid metabolism were undertaken. RESULTS: The mean HRI was 1.345 ± 0.189. 23.59% of patients had mild NAFLD (HRI = 1.167 ± 0.041), 64.04% moderate (HRI = 1.401 ± 0.102), and 12.36% patients severe NAFLD (HRI = 1.802 ± 0.098). Impaired glucose metabolism was present in 48.31% of patients. A positive correlation was present between HRI and impaired glucose metabolism (r = 0.335, p = 0.001). The coefficients of determinations R2 for linear regression for HRI and glycated hemoglobin (HbA1c) and oral glucose tolerance test (GTT) were 0.05841 and 0.07498, respectively. The cutoff values for HRI in the detection of diabetes and prediabetes, and prediabetes only, were 1.4 and 1.38, respectively. In logistic regression, the ß coefficients for oral GTT, HbA1c, or HRI were 0.62042 (p = 0.0002), 2.18036 (p = 0.0033), and 2.36986 (p = 0.012). The hazard ratio (HR) coefficients (exp [b]) for HRI, HbA1c, and oral GTT sorted according to their HR strength were 10.6958, 8.8494, and 1.8597, respectively. CONCLUSION: Ultrasonographically acquired HRI has a significant predictive impact on the detection of prediabetes and diabetes in patients with NAFLD.