Assessment of haemodialysis adequacy: a novel regression analysis formula Online publication date: Fri, 12-Dec-2014
by Ahmad Taher Azar
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 9, No. 2, 2012
Abstract: In the study presented here, another regression analysis formula was derived for calculating Kt/V from the pre- and post-dialysis Blood Urea Nitrogen (BUN). We prospectively compared the Kt/V values obtained using this new formula and the Kt/V values obtained via the other existing formulae to see whether reliance on the latter approach was more likely to lead to errors in over- or underprescribing dialysis regimens. Data were processed on 268 dialysis patients. The estimated Kt/V (Kt/VAzar) values were statistically different (p < 0.05) from the calculated Kt/V values from other models, except for those Kt/V values calculated according to the Lowrie (P = 0.112), Keshaviah (P = 0.069), Daugirdas First Generation (P = 0.059), Basile (P = 0.102), Ijely (P = 0.286) and Daugirdas Second Generation (P = 0.709). The best correlations were seen with the Daugirdas Second Generation formula (R = 0.958 and R² = 0.919). Since the best correlations were seen between Kt/VAzar and the Daugirdas Second Generation Kt/V we can demonstrate that these two models are perfect than the other models.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com