Archives of Biological Sciences (Jan 2017)
A novel complex model of hemodialysis adequacy: Predictive value and relationship with malnutrition inflammation score
Abstract
Target dialysis dose to ensure the best patient outcome is still a matter of debate. Traditional models have a number of limitations and do not comprehensively reflect all factors involved. In this study we present a new complex model of dialysis adequacy, the hemodialysis adequacy score (HAS), and evaluate its prognostic value, as well as its relationship with the malnutrition-inflammation score (MIS). The components of HAS included paradigms of the 6 major factors known to influence the outcome of hemodialysis (HD) patients: the modified Karnofsky index (KI), the Charlson comorbidity index (CCI), Kt/V and URR measures of dialysis dose, body mass index (BMI) and serum albumin level, serum levels of hemoglobin and ferritin, intact parathyroid hormone (iPTH) and calciumphosphorus solubility product. The score was evaluated in a 24-month prospective study on 147 HD patients. Odds ratio analysis showed that hospitalized patients had twice the chance to have HAS >13 compared to those who were not hospitalized during the study period (OR=2.152, CI 95% (1.0024- 4.619). Mortality rate was significantly higher in patients with a HAS >13 at the 12-month follow-up (χ2=16.416, p 13 had significantly higher probability of death (log-rank Cox- Mantel=17.920, df=1, p <0.00023). The HAS directly and significantly correlated with the MIS at all measurements (p <0.0001). Results confirmed that the HAS is a useful tool to assess dialysis adequacy with a good prognostic value. The cutoff level for the HAS at 13 points was associated with an unfavorable outcome.
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