Literature DB >> 25048801

Nutrition assessment and risk prediction in dialysis patients-a new integrative score.

Sara Blumberg Benyamini1, Zeev Katzir2, Alexander Biro2, Relu Cernes2, Batya Shalev3, Tova Chaimy4, Zvi Barnea2.   

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.
Copyright © 2014 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25048801     DOI: 10.1053/j.jrn.2014.05.001

Source DB:  PubMed          Journal:  J Ren Nutr        ISSN: 1051-2276            Impact factor:   3.655


  4 in total

1.  Consensus on the standard terminology used in the nutrition care of adult patients with chronic kidney disease.

Authors:  Cristina Martins; Simone L Saeki; Marcelo Mazza do Nascimento; Fernando M Lucas Júnior; Ana Maria Vavruk; Christiane L Meireles; Sandra Justino; Denise Mafra; Estela Iraci Rabito; Maria Eliana Madalozzo Schieferdecker; Letícia Fuganti Campos; Denise P J van Aanholt; Ana Adélia Hordonho; Marcia Samia Pinheiro Fidelix
Journal:  J Bras Nefrol       Date:  2021 Apr-Jun

2.  Frailty and comorbidity are independent predictors of outcome in patients referred for pre-dialysis education.

Authors:  Julia Pugh; Justine Aggett; Annwen Goodland; Alison Prichard; Nerys Thomas; Kieron Donovan; Gareth Roberts
Journal:  Clin Kidney J       Date:  2016-01-29

3.  Trajectories of Nutritional Parameters Before and After Prescribed Oral Nutritional Supplements: A Longitudinal Cohort Study of Patients With Chronic Kidney Disease Not Requiring Dialysis.

Authors:  Michelle M Y Wong; Yuyan Zheng; Dani Renouf; Zainab Sheriff; Adeera Levin
Journal:  Can J Kidney Health Dis       Date:  2022-01-13

4.  Evaluation of body composition monitoring for assessment of nutritional status in hemodialysis patients.

Authors:  Haifen Zhang; Xingjuan Tao; Ling Shi; Na Jiang; Yan Yang
Journal:  Ren Fail       Date:  2019-11       Impact factor: 2.606

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.