INVESTIGADORES
FERNANDEZ Elmer Andres
artículos
Título:
Comparison of standard and artificial neural network estimators of hemodialysis adequacy
Autor/es:
FERNÁNDEZ, ELMER ANDRÉS; VALTUILLE, RODOLFO; PRESEDO, JESUS RODRIGUEZ; WILLSHAW, PETER
Revista:
ARTIFICIAL ORGANS
Referencias:
Año: 2005 vol. 29 p. 159 - 165
ISSN:
0160-564X
Resumen:
The
National Kidney Foundation and the European Renal Association (ERA) recommend
routine measurement of hemodialysis dose (HD) and have set standards for
adequacy of treatment. We compare the results of five methods for HD
estimation, classifying each result as adequate or inadequate on the basis of
equilibrated (eq) Urea Reduction Ratio (URReq) 65% or Kt/Veq 1.2, to assess the
accuracy of each method as a diagnostic tool.
Data
from 113 patients from two different dialysis units were analysed. Equilibrated
post-dialysis blood urea was measured 60 minutes after each hemodialysis
session to calculate URReq and Kt/Veq, considered as gold standard indexes
(GSI).
URR
and Kt/V were estimated using the Smye formula, an Artificial Neural Network
(ANN), modified URR, the second generation Kt/V Daugirdas formula, and standard
indexes based on post-dialysis urea, then compared to the GSI.
For
URR, best estimator was ANN (Error Rate: ER%=12.70) followed by modified URR
(ER%=17.46%), the Smye (ER%=22.22) and standard URR (ER%=23.81). For Kt/V, the
Daugirdas equation and the ANN were similar (ER%=9.52 and 11.11). The
single-pool Kt/V (Kt/Vsp) 1.4 (ERA recommended)
produced an ER%= 7.94 and a false positive rate (FPR%) equal to that shown by
the ANN (FPR%=3.17).
According
to the current threshold limits for HD adequacy, the ANN was a reliable and
accurate tool for URR monitoring, better than the Smye and the modified URR
methods. The use of the ANN urea estimation yields accurate results when used
to calculate Kt/V.
The
Kt/Vsp with an adequacy threshold of 1.4 is a superior approach for HD adequacy
monitoring, suggesting that the current adequacy limits should be reviewed for
both URR and Kt/V.