4.7 Article

Comparison of Simplified Creatinine Index and Systemic Inflammatory Markers for Nutritional Evaluation of Hemodialysis Patients

期刊

NUTRIENTS
卷 13, 期 6, 页码 -

出版社

MDPI
DOI: 10.3390/nu13061870

关键词

hemodialysis; nutritional screening; protein-energy wasting; simplified creatinine index; systemic inflammation

资金

  1. Ministry of Science and Technology R.O.C [MOST 108-2314-B-075-009, 109-2314-B-075-071, 109-2314-B-010-056-MY3]
  2. Taipei Veterans General Hospital [V109B-020, V109C-114, V110C-149, V110C-151, VTA110-V1-3-1, V108D42-004-MY3-3]
  3. Center for Intelligent Drug Systems and Smart Bio-devices (IDS2B) from The Featured Areas Research Center Program
  4. Foundation for Poison Control [FPC-110-001]

向作者/读者索取更多资源

The study compared the simplified creatinine index (SCI) and circulating inflammatory markers as nutritional screening tools in hemodialysis patients, finding that SCI performed better in assessing nutritional status. Risk factors for low fat-free mass index (FFMI) included older age, female gender, lower body mass index, SCI, and GNRI scores. While a positive association between systemic inflammation markers and low FFMI was observed, this association disappeared in multivariate analysis.
Protein-energy wasting (PEW) is associated with adverse outcomes in hemodialysis patients. This study compares the simplified creatinine index (SCI) and circulating inflammatory markers as nutritional screening tools for hemodialysis patients. Maintenance hemodialysis patients (230 total patients, 34.8% women, 64.0 +/- 14.3 years old) from a tertiary medical center were assessed for demographic data, body composition analysis, biochemistry tests, and circulating inflammatory biomarkers. The SCI was calculated using Canaud's formula. Reduced fat-free mass index (FFMI), a surrogate of lean body mass, was identified according to the European Society for Clinical Nutrition and Metabolism guidelines. Nutritional status was assessed by the geriatric nutritional risk index (GNRI) and International Society of Renal Nutrition and Metabolism (ISRNM) criteria. Multivariate logistic regression revealed independent risk factors for low FFMI and malnutrition. Of the patients, 47.4% had low FFMI. Patients with a reduction in FFMI tended to be older females with lower body mass index, SCI, and GNRI scores but significantly higher levels of interleukin-6 (IL-6), tumor necrosis factor alpha (TNF-alpha), and IL-8. SCI was found to be an independent predictor for reduced FFMI (OR 0.57, 95% CI 0.40-0.81) and presence of PEW according to ISRNM criteria (OR 0.38, 95% CI 0.21-0.68). Although a positive association between systemic inflammatory markers and low FFMI was observed, this association disappeared in multivariate analysis. Moreover, the inflammatory markers examined in this study were not associated with malnutrition after adjusting for potential confounders. Compared with markers of systemic inflammation, SCI achieved better performance in assessing the nutritional status of hemodialysis patients.

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