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Measurement of Survival Time in Brachionus Rotifers: Synchronization of Maternal Conditions
Published on: July 22, 2016
Comparative survival analysis of urea kinetic based indices
M Stosovic1, M Stanojevic, M Radovic
1Department of Nephrology, University Clinical Center, Belgrade, Serbia and Montenegro. milanst@eunet.yu
The International Journal of Artificial Organs
|July 15, 2005
Summary
Simplified dialysis dose measures, like Daugirdas and Lowrie Kt/V, effectively predict patient mortality, matching complex urea kinetic modeling (UKM) in long-term hemodialysis patients.
Area of Science:
- Nephrology
- Renal Replacement Therapy
- Dialysis Dosing
Background:
- Urea kinetic modeling (UKM) indices are recommended for measuring dialysis dose.
- The comparative predictive value of different UKM indices for patient outcomes remains unclear.
Purpose of the Study:
- To compare the predictive value of various dialysis dose indices and measurement methods.
- To assess the efficacy of different indices in predicting patient mortality.
Main Methods:
- Prospective, single-center study involving 93 anuric patients on hemodialysis for ≥2 years.
- Follow-up duration of 75 months.
- Dialysis dose measured by formal UKM, Daugirdas Kt/V, Lowrie Kt/V, eKt/V, URR, and TAC urea.
Main Results:
- All indices, except TAC urea, showed significant correlations with survival time (p<0.01).
- All indices, except TAC urea, were significant predictors of mortality via multivariate Cox regression (p<0.01).
- Differences in predictive significance among these indices were minimal.
Conclusions:
- All tested indices, excluding TAC urea, demonstrated high predictability of patient mortality.
- Simplified Daugirdas and Lowrie Kt/V indices offer comparable predictive value for all-cause mortality as formal UKM methods in long-term hemodialysis patients on a 3x4h/week schedule.
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