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Title: Nutrition assessment and risk prediction in dialysis patients-a new integrative score.
Author: Blumberg Benyamini S, Katzir Z, Biro A, Cernes R, Shalev B, Chaimy T, Barnea Z.
Journal: J Ren Nutr; 2014 Nov; 24(6):401-10. PubMed ID: 25048801.
Abstract:
OBJECTIVE: We developed a quantitative nutritional score, based on biochemical measures, taken as part of monthly routine care. The score can be accomplished within a short time after routine laboratory results completion and identify a monthly change in nutritional status. DESIGN: A longitudinal observational cohort study SETTING: The Institute of Nephrology, Wolfson Medical Center, Holon, Israel. SUBJECTS: A total of 179 hemodialysis patients were followed up for up to 2.5 years after study baseline. INTERVENTION: The Integrative Clinical Nutrition Dialysis Score (ICNDS) is based on the biochemical measures of albumin, creatinine, urea, cholesterol, C-reactive protein, dialysis adequacy, and weight change. Each parameter is ranked between 1 and 5, with the higher rank derived from recommended National Kidney Foundation Kidney Disease/Dialysis Outcomes and Quality Initiative values and the lower rank indicating deviation from those values. The final ICNDS is the sum of ranks over 7 parameters. MAIN OUTCOME MEASURE: The Pearson correlation coefficient was calculated for association between subjective global assessment and ICNDS in 63 randomly selected patients. In 179 dialysis patients, the baseline ICNDS, the slope of 3 subsequent monthly ICNDS values, were tested for their correlation with odds of all-cause mortality, hospitalization frequency, length of stay, after 31 months. Spline Cox regression was used to select the best cutoff point, associated with severe mortality risk. RESULTS: Score results were significantly correlated with nutrition evaluation by subjective global assessment (r = 0.842, P < .01). For a unit increase in baseline score, death odds were significantly decreased (hazard ratio [HR] = 0.929, 95% confidence interval [CI] 0.88-0.974, P < .002). Each unit increase in slope significantly reduced mortality risk (HR = 0.485, 95% CI 0.278-0.847, P < .011). Hospitalization frequency was significantly increased across worsening baseline score (HR = 0.935, 95% CI 0.906-0.964, P < .0001). A 1-unit increase in slope significantly decreased hospitalization (HR = 0.799, 95% CI 0.726-0.881, P < .0001). CONCLUSIONS: Results confirm that ICNDS is a useful prognostic tool that serves to detect nutrition deterioration at its very beginning.

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