Incidence of cardiovascular diseases in the patients having chronic kidney disease (CKD) is between 25% and 60%. This increased rate is proposed to be associated with "accelerated atherosclerosis." Increased carotid intima-media thickness (CIMT) is a subclinical atherosclerosis marker. Small-dense low-density lipoprotein particles are a strong risk factor for atherosclerosis. It was shown that atherogenic index of plasma (AIP = log(TG/HDL-c)) is correlated with size of the lipoprotein particles. We investigated the correlation between AIP and CIMT which is a subclinical atherosclerosis marker, in hemodialysis (HD) patients. A total of 62 persons with 31 patients under HD therapy and 31 volunteers were included in the study. In all the participants, CIMT was measured and AIP were calculated. AIP and CIMT values of the participants were compared with blood pressures, lipid profiles and the other risk factors. AIP (0.39 ± 0.32) and CIMT (0.57 ± 0.13) were found significantly higher in the patient group than in the controls (0.04 ± 0.36 and 0.45 ± 0.119, respectively); (P = 0.0001 and 0.0001, respectively). There was a significant correlation between AIP and increased CIMT in the patient group (P = 0.0001, r = 0.430). Among the lipid parameters, the strongest correlation was found between CIMT and AIP. We demonstrated the significant increase of AIP and CIMT in HD patients. A correlation was found between AIP and CIMT. AIP was found to show a correlation with a greater number of risk factors, both classical and CKD specific, than CIMT. These data suggest that AIP might be a method which can be used both in diagnosis of subclinical atherosclerosis and in deceleration processes of its progression.

OBJECTIVE: Body composition analysis is useful technique for assessing hydration, nutritional status and predicting clinical outcomes. Bioimpedance analysis (BIA) is a cheap and noninvasive tool for monitoring body composition but needs some improvements regarding measurement methods. We aimed to fi nd out if body position has an effect on the BIA results. MATERIAL and METHODS: Personal characteristics including age, gender, height, weight and blood pressure were recorded. Hydration and nutritional status measured by body composition monitor in supine and standing positions consequently for each individual. RESULTS: Two hundred and one populations from various region in Turkey, 61% (n: 123) male, mean age was 46.3±12 years (18-76) of age, participated in this crossectional study. From supine to standing positions overhydration and extracellular water (ECW) were increased from 0.04±1.08 and 17.69±2.92 to 0.46±1.05 L and 17.84±2.90 L while intracellular water (ICW) decreased from 22.55±4.35 to 22.04±4.28 L signifi cantly. Systolic and diastolic blood pressures were 131.3±18.1 and 75.1±12 decreased to 127.0±16.0 and 72.2±9.0 mmHg in supine to standing positions (p> 0.05). CONCLUSION: Supine and standing positions could affect the volume parameters of BIA due to shift of ECW and ICW by gravity but nutritional parameters also changes signifi cantly. Protocols should be re evaluated in order to get more accurate results in bioimpedance measurements.

Objectives. Hypertension and hypervolemia relationship was proven among renal disease, although it is not known in normal population. Present study determines the fluid distribution defects in relation to blood pressure. Material and Methods. In a population-based survey in Turkey demographics, height, weight, blood pressure, urine analysis, and serum creatinine measurements were recorded. Bioimpedance measured with the Body Composition Monitor. Results. Total 2034 population of 71.6% male, mean age 47 ± 12.6 (18–89) years, systolic blood pressure (SBP) 134.7 ± 20, diastolic blood pressure 77.9 ± 11.6 mmHg. Body mass index (BMI) was 28.5 ± 4.5 (15.8–50.6) kg/m2; overhydration was 0.05 ± 1.05 L. There was a correlation between extracellular water (ECW)/height and SBP (r = 0.21, P < 0.001). Receiver operating characteristic (ROC) curve with the performance of 0.60 (P < 0.001) that showed cut-off value of ECW/height was 10.06 L/m, with the 69% sensitivity and 45% specificity for SBP: 140 mmHg values. Risk factors for high SBP were increase of ECW/Height, age, BMI and presence of diabetes. ECW/height, SBP, and fat tissue index (FTI) increased in BMI categories (low, normal, and obese) and in diabetics. SBP and FTI were lower in smokers. Conclusions. High blood pressure may be accompanied by increased extracellular volume indices. In the future volume status assessment could be of use in evaluating the effectiveness of pharmacological intervention in the treatment of hypertension.

Strict salt and volume control in ESRD patients after assessment of hydration status with either using BCM or echocardiography provides better management of volume control leading to more precise cardiovascular protection.

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Objective Sulphur, similar to phosphorus, is easily attached to organic compounds. The inadequate elimination of sulphate may cause high sulphate concentrations in hemodialysis (HD) patients because sulphate is low in free form in plasma. Although we are well aware of the accumulation of phosphorus in chronic dialysis patients, we do not have an adequate knowledge database about the sulphur compounds. This study was designed to determine the level of sulphate in hemodialysis patients. Materials and Methods Ninety-four prevalent HD patients and 33 patients without renal failure were included in the study. The serum inorganic sulphate levels were measured by turbidimetric technique. Moreover, the serum level of urea, creatinine, albumin, calcium, phosphorus, and parathyroid hormone concentrations was simultaneously recorded. Results Mean levels of plasma sulphate were significantly higher (0.56 ± 0.17 mM vs 0.31 ± 0.13 mM, p < 0.001) in HD patients. Serum sulphate level correlated with patient's age, serum albumin, serum BUN and creatinine, and serum phosphorus level in HD patients. Serum sulphate levels were not associated with serum parathyroid hormone levels. Conclusion Serum sulphate levels were approximately twofold higher in HD patients than in the normal control group. Inorganic sulphate does not seem to accumulate in long-term dialysis patients, and mild increased serum levels of sulphate has no poor clinical outcome in these patients.

Background: Hyponatremia is classified according to volume status with the help of physical examination, biochemical measures, urine and serum osmolalities, and echocardiography. Bioimpedance spectroscopy (BIS) has been getting popularity for revealing tissue compositions of various patient groups. The aim of this observational study was to investigate the role of BIS for the differential diagnosis of hyponatremia (ClinicalTrials.gov Identifier: NCT01838759). Patients and methods: Personal characteristics of age, sex, weight, height, and blood pressure were recorded. Body composition monitor (BCM) was used for hydration status for each individual. Primary outcome was investigated by the accuracy of volume status measured by BIS. Statistics: Kappa statistic (K) is a measure of agreement between two sources, which is measured on a binary scale (i.e., condition present/absent). K statistic can take values between 0 and 1: poor agreement: K50.20, fair agreement: 0.2.0-0.3.9, moderate agreement: 0.40-0.59, substantial: 0.60-0.79, very good agreement: 0.80-1.00. Results: Fifty-eight hyponatremiadiagnosed patients, 32 (55.2%) of male with the mean age of 65.2 ± 11 (40-89) years were included. Kappa statistic (K) were very good (K ¼ 0.925) for male (p50.00), substantial agreement (K ¼ 0.601) for female (p5 0.002) with the use of BIS for the differential diagnosis of either hypo or hypervolemia in hyponatremic patients compared with gold standard tests which were the combination of echocardiography, serum, and urine osmolality biochemical tests, and physical examination. Conclusion: Bioimpedance spectroscopy is a practical and an inexpensive method. This is the first study in the literature showing the role of BIS for the determination of the volume status and differential diagnosis of hyponatremia when compared with echocardiography.

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