Background: The purpose of the study was to explore the precision of an equation designed to estimate residual kidney urea clearance (KRU) from interdialytic urine collection data and pre-hemodialysis (HD) serum urea nitrogen (SUN) in different hemodialysis treatment schedules. Methods: The generalizability of the proposed equation was tested in 32 731 HD treatments where urine was collected prior to a dialysis session, mostly for 24 h but sometimes longer, in patients being dialyzed 1-4 times/week. Results: The residual kidney urea clearance estimating equation predicted a KRU that matched the one computed by formal modeling within 5% in >98% of sessions analyzed. The errors in estimated versus modeled KRU for interdialytic intervals (IDIs) of 2, 3, 4 and 7 days, were 1.6 ± 1.5%, -0.4 ± 1.6%, 0.9 ± 1.6%, and 1.5 ± 1.2%, respectively. Percent errors were similar for schedules of 1-4/week with the exception of urine collection during the 2-day interval of a 2:5-day twice-weekly schedule; here error averaged 5.0 ± 1.2%. Use of the average of the SUN values at the start and end of the collection period overestimated modeled KRU by 11.3 ± 4.5%, whereas an equation suggested by others underestimated modeled KRU by -9.9 ± 3.4%. Conclusions: The equation tested predicts values for KRU that are similar to those obtained from formal urea kinetic modeling, with percent errors that only rarely exceed 5%. It gives relatively precise results for a wide range of HD treatment schedules, IDIs and urine collection periods. Keywords: chronic hemodialysis, clearance, guidelines, hemodialysis, predialysis.
Background: The purpose of the study was to explore the precision of an equation designed to estimate residual kidney urea clearance (KRU) from interdialytic urine collection data and pre-hemodialysis (HD) serum ureanitrogen (SUN) in different hemodialysis treatment schedules. Methods: The generalizability of the proposed equation was tested in 32 731 HD treatments where urine was collected prior to a dialysis session, mostly for 24 h but sometimes longer, in patients being dialyzed 1-4 times/week. Results: The residual kidney urea clearance estimating equation predicted a KRU that matched the one computed by formal modeling within 5% in >98% of sessions analyzed. The errors in estimated versus modeled KRU for interdialytic intervals (IDIs) of 2, 3, 4 and 7 days, were 1.6 ± 1.5%, -0.4 ± 1.6%, 0.9 ± 1.6%, and 1.5 ± 1.2%, respectively. Percent errors were similar for schedules of 1-4/week with the exception of urine collection during the 2-day interval of a 2:5-day twice-weekly schedule; here error averaged 5.0 ± 1.2%. Use of the average of the SUN values at the start and end of the collection period overestimated modeled KRU by 11.3 ± 4.5%, whereas an equation suggested by others underestimated modeled KRU by -9.9 ± 3.4%. Conclusions: The equation tested predicts values for KRU that are similar to those obtained from formal urea kinetic modeling, with percent errors that only rarely exceed 5%. It gives relatively precise results for a wide range of HD treatment schedules, IDIs and urine collection periods. Keywords: chronic hemodialysis, clearance, guidelines, hemodialysis, predialysis.
Authors: Yoshitsugu Obi; Connie M Rhee; Anna T Mathew; Gaurang Shah; Elani Streja; Steven M Brunelli; Csaba P Kovesdy; Rajnish Mehrotra; Kamyar Kalantar-Zadeh Journal: J Am Soc Nephrol Date: 2016-05-11 Impact factor: 10.121
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Authors: John T Daugirdas; Tom Greene; Michael V Rocco; George A Kaysen; Thomas A Depner; Nathan W Levin; Glenn M Chertow; Daniel B Ornt; Jochen G Raimann; Brett Larive; Alan S Kliger Journal: Kidney Int Date: 2013-01-23 Impact factor: 10.612
Authors: Kamyar Kalantar-Zadeh; Susan T Crowley; Srinivasan Beddhu; Joline L T Chen; John T Daugirdas; David S Goldfarb; Anna Jin; Csaba P Kovesdy; David J Leehey; Hamid Moradi; Sankar D Navaneethan; Keith C Norris; Yoshitsugu Obi; Ann O'Hare; Tariq Shafi; Elani Streja; Mark L Unruh; Tushar J Vachharajani; Steven Weisbord; Connie M Rhee Journal: Semin Dial Date: 2017-04-18 Impact factor: 3.455