The Gamma Gap Predicts All-Cause Mortality in Chronic Dialysis Patients.

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.

Which Better Determines the Renal Function and Glomerular Filtration Rate: Renal Parenchymal Thickness or Renal Resistive Index?

Resistive index (RI) could provide more useful diagnostic and prognostic information for kidney disease than parenchymal thickness (PT) only. The aims of this study were to find the association between PT, glomerular filtration rate (GFR), and RI and their determination of renal function. B-mode and Doppler ultrasonography and standard biochemical laboratory testing (urea and creatinine) were performed among 75 participants (57.1 ± 10.6 years). We measured PT and RI and calculated GFR. The mean and standard deviation were 0.671 ± 0.041, 12.24 ± 1.98 mm, and 86.38 ± 15.96 mL/min/1.73 m2 for RI, PT, and GFR, respectively. The mean RI in two subgroups with PT smaller or greater than 12.5 mm was RI1 = 0.692 ± 0.038 or RI2 = 0.648 ± 0.03 (P <0.0001). Strong inverse correlation between RI (y) and PT (x) presented by the linear regression equation: y = 0.744 + (-0.005932 x). By multiple regression, we show GFR and PT as predictors for increasing of RI (R2 = 0.2063, ßst = -0.0009176, P = 0.0012 and ßst = -0.006003, P = 0.0078), respectively. Renal RI inversely strongly correlates with the PT and GFR. Renal PT and GFR are independent predictors for increasing of RI in general population.

The predictive value of the hepatorenal index for detection of impaired glucose metabolism in patients with non-alcoholic fatty liver disease.

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.

B - Flow assessment of femoral artery as predictor of coronary artery disease in patients evaluated for chest pain by radionuclide myocardial perfusion scintigraphy.

In the evaluation of patients with suspected coronary artery disease (CAD), the presence of the superficial femoral artery (SFA) plaque is more informative than a carotid plaque and at least as informative as coronary plaque in the identification of coronary death individuals. In 60 patients with chest pain with a normal electrocardiogram, B-flow ultrasound estimation of SFA plaque and radionuclide myocardial perfusion scintigraphy (MPS) estimation for CAD was performed. We found significant positive correlations between age and SFA plaque score (PS) (P = 0.0084), myocardial ischemia in rest and SFA PS (P < 0.0001), and between transient ischemic dilation (TID) and SFA PS (P = 0.0069), too. The TID correlates only with myocardial ischemia in rest (P = 0.0022) and SFA PS (P = 0.0069). The results we got by the receiver operating characteristics (ROC) curve analysis with TID/without TID were the area under curve (0.704, P = 0.0038). The multiple regression analysis showed standardized coefficient ß coefficients for SFA PS and TID (3.4577 and 1.9903, P < 0.001 and P = 0.0021), respectively. By proven correlative relationship of SFA atherosclerotic plaques and CAD, we can use B-flow as a screening method for triage of patients with chest pain before being sent to the assessment of coronary circulation with radionuclide MPS.