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[10] as recommended by the British Dietetic Association. HGS was measured using a dynamometre. The subjects were instructed to apply as much handgrip pressure as possible using the non-fistula hand. Measurements were repeated three times and the average score was recorded. Observer variability and Selumetinib mouse inter-observer error SGA and anthropometry measurements were taken by the same dietitian. To test the standardization and reliability of the anthropometric measurements the inter observer error was assessed according to target values described by Zerfas [11]. The aim was to achieve a ��fair�� to ��good�� accuracy for arm circumference and skinfold measurements and this was achieved. Weight laboratory and demographic data Dry weight was defined by the attending physician in the electronic patient record. IDWG was defined as the difference between the pre-dialytic weight and weight at the end of the previous dialysis session. The ratio of IDWG and patient dry weight was defined as IDWG%. Weight and blood pressure data were averaged from three consecutive dialysis session starting from the beginning of the week closest to the anthropometric measurements. Pre-dialysis MK-1775 solubility dmso serum sodium values from routine monthly laboratory measurements were averaged for 6 months prior to the measurement. Serum C-reactive protein (CRP) and serum albumin were measured from the closest to the anthropometric measurements pre-dialysis routine bloods. Demographic data were extracted from the electronic patient records. Patients on antidiabetic medications or with fasting plasma glucose ��7.0 mmol/L and/or A1C ��6.5% (48 mmol/mol) were classified as diabetics. Statistical analysis Statistical analysis was performed using IBM SPSS statistics 19. The T-test (two sided, independent) was used for comparison of numerical means and chi-square test was used for comparison of categorical values; P NAD correlation was used to measure the strength of the relationships between variables and a Pearson's partial correlation was used when controlling the effect of other variables. Results Altogether 172 patients had anthropometric data and were included in the final analysis. One hundred and fifty-one patients had SGA data and 84 handgrip data. Mean age was 66 �� 14, females 62 (36%), diabetics 48 (28.9%), 34 (21%) Asians, 56 (34%) Blacks, 56 (32.6%) Caucasians and 26 (15%) of other ethnical background. Baseline data are presented in Table?1. Table?1. Baseline characteristics Patients with pre-dialysis serum Na less than the mean value (136.2 mEq/L) had lower MAMC, HGS and SGA scores and albumin levels and higher IDWG and IDWG%. There was no statistical significant difference in TSF and CRP between the two groups (Table?2). Table?2.