Literature DB >> 2767786

The post: pre-dialysis plasma urea nitrogen ratio to estimate K.t/V and NPCR: mathematical modeling.

J T Daugirdas1.   

Abstract

The mathematical basis of the relationship between K.t/V and the ratio of the postdialysis (Ct) to predialysis (Co) plasma urea nitrogen levels (Ct/Co = R) is the urea kinetic model. The R vs. K.t/V relationship is modulated by the patient's normalized protein catabolic rate (NPCR), the dialysis session length, and the predialysis plasma urea nitrogen level, due to urea generated during the dialysis session; the latter increases Ct and hence raises R. The relationship between R and K.t/V is also affected by the amount of ultrafiltrate removed during the dialysis session, because convective urea removal, which is a part of K, does not result in a lowering of the (Ct). In stable adult maintenance dialysis patients receiving 3 treatments/week, with an NPCR of less than or equal to 1.1 g/kg/day and zero residual renal function, the target K.t/V is 1.05 and the target R will be about 0.41. In patients who require different K.t/V values, corresponding values of R can be computed. Based on an empiric examination of the urea kinetic equations, several formulas are proposed for estimating K.t/V from R and vice versa, which depend only on the dialysis session length t, the amount of ultrafiltrate UF, and the postdialysis weight W or V; e.g., K.t/V = - ln (R - 0.008.t-UF/W). After K.t/V has been estimated from R, t, UF and W, one can then estimate the NPCR in the residual renal urea clearance (Kru) has also been measured. From the estimated K.t/V, the Kru, and an estimated V, the total urea clearance over time corrected for V ("KT") is computed.(ABSTRACT TRUNCATED AT 250 WORDS)

Entities:  

Mesh:

Year:  1989        PMID: 2767786

Source DB:  PubMed          Journal:  Int J Artif Organs        ISSN: 0391-3988            Impact factor:   1.595


  26 in total

1.  Whole body urea kinetics.

Authors:  J Sternby
Journal:  Med Biol Eng Comput       Date:  1998-11       Impact factor: 2.602

2.  A Profile of Nanoparticle-Based Plasma Neurodegenerative Biomarkers for Cognitive Function Among Patients Undergoing Hemodialysis.

Authors:  Jin-Bor Chen; Chiung-Chih Chang; Sin-Hua Moi; Lung-Chih Li
Journal:  Int J Gen Med       Date:  2022-07-11

3.  Dose of hemodialysis and survival: a marginal structural model analysis.

Authors:  Paungpaga Lertdumrongluk; Elani Streja; Connie M Rhee; Jongha Park; Onyebuchi A Arah; Steven M Brunelli; Allen R Nissenson; Daniel Gillen; Kamyar Kalantar-Zadeh
Journal:  Am J Nephrol       Date:  2014-04-26       Impact factor: 3.754

4.  Relationship between anti-erythropoietin receptor autoantibodies and responsiveness to erythropoiesis-stimulating agents in patients on hemodialysis: a multi-center cross-sectional study.

Authors:  Akinori Hara; Yoshitaka Koshino; Yukie Kurokawa; Yasuyuki Shinozaki; Taito Miyake; Shinji Kitajima; Tadashi Toyama; Yasunori Iwata; Norihiko Sakai; Miho Shimizu; Kengo Furuichi; Hiroyuki Nakamura; Takashi Wada
Journal:  Clin Exp Nephrol       Date:  2019-09-09       Impact factor: 2.801

5.  Impact of protein energy wasting status on survival among Afro-Caribbean hemodialysis patients: a 3-year prospective study.

Authors:  Lydia Foucan; Henri Merault; Fritz-Line Velayoudom-Cephise; Laurent Larifla; Cosmin Alecu; Jacques Ducros
Journal:  Springerplus       Date:  2015-08-26

6.  A comparative effectiveness research study of the change in blood pressure during hemodialysis treatment and survival.

Authors:  Jongha Park; Connie M Rhee; John J Sim; Yong-Lim Kim; Joni Ricks; Elani Streja; Tania Vashistha; Ramin Tolouian; Csaba P Kovesdy; Kamyar Kalantar-Zadeh
Journal:  Kidney Int       Date:  2013-06-19       Impact factor: 10.612

7.  Oral tori in chronic hemodialysis patients.

Authors:  Pei-Jung Chao; Huang-Yu Yang; Wen-Hung Huang; Cheng-Hao Weng; I-Kuan Wang; Aileen I Tsai; Tzung-Hai Yen
Journal:  Biomed Res Int       Date:  2015-03-31       Impact factor: 3.411

8.  High incidence of Aggregatibacter actinomycetemcomitans infection in patients with cerebral infarction and diabetic renal failure: a cross-sectional study.

Authors:  Minoru Murakami; Jun-Ichi Suzuki; Satoshi Yamazaki; Masaya Ikezoe; Rintaro Matsushima; Norihiko Ashigaki; Norio Aoyama; Naho Kobayashi; Kouji Wakayama; Hiroshi Akazawa; Issei Komuro; Yuichi Izumi; Mitsuaki Isobe
Journal:  BMC Infect Dis       Date:  2013-11-24       Impact factor: 3.090

9.  Elevation of Interleukin-18 Correlates With Cardiovascular, Cerebrovascular, and Peripheral Vascular Events: A Cohort Study of Hemodialysis Patients.

Authors:  Chih-Hsiang Chang; Pei-Chun Fan; Chan-Yu Lin; Chia-Hung Yang; Yi-Ting Chen; Su-Wei Chang; Huang-Yu Yang; Chang-Chyi Jenq; Cheng-Chieh Hung; Chih-Wei Yang; Yung-Chang Chen
Journal:  Medicine (Baltimore)       Date:  2015-10       Impact factor: 1.817

10.  Effect of Blood Cadmium Level on Mortality in Patients Undergoing Maintenance Hemodialysis.

Authors:  Ching-Wei Hsu; Tzung-Hai Yen; Kuan-Hsing Chen; Dan-Tzu Lin-Tan; Ja-Liang Lin; Cheng-Hao Weng; Wen-Hung Huang
Journal:  Medicine (Baltimore)       Date:  2015-10       Impact factor: 1.817

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.