Literature DB >> 8311087

Urea index and other predictors of hemodialysis patient survival.

A J Collins1, J Z Ma, A Umen, P Keshaviah.   

Abstract

The mortality of dialysis patients in the United States has been a concern since the US Renal Data System 1989 report, which showed a lower survival rate in the United States compared with Europe. The differences were thought to be multifactorial, including case mix, malnutrition, and adequacy of dialysis. We reviewed the Regional Kidney Disease Program's 1976 to 1989 database for the pattern of co-morbidity, dialysis therapy, and low serum albumin in 1,082 nondiabetic and 691 diabetic patients followed to September 15, 1991. The number of patients over 60 years of age has increased by 15% to 20% per year since 1982. The primary renal diagnoses for nondiabetic patients have shifted from 26% glomerulonephritis, 18% vascular and hypertension, and 15% interstitial kidney disease cases during the period from 1976 to 1982 to 19% glomerulonephritis, 35% vascular and hypertension, and 10% interstitial disease cases during the period from 1986 to 1989. Co-morbidity as single and multiple conditions has increased from 66% to 85% in diabetic patients and from 57% to 66% in nondiabetic patients. The number of patients with two or more co-morbid conditions has increased 1.5-fold in nondiabetic patients and twofold in diabetic patients from the 1976 to 1982 period to the 1986 to 1989 period. Urea index and albumin were determined for these patients and were averaged as a risk factor. A Cox regression analysis was used to determine the relative risk of death of such characteristics as age, renal diagnosis, co-morbidity, urea index (KT/V), and albumin in nondiabetic and diabetic patients. Urea index was divided into ranges of less than 1.0 (mean, 0.9), 1.0 to less than 1.2, 1.2 to less than 1.4, and > or = 1.4 (mean, 1.6). The relative risk of death in nondiabetic patients was 0.65 (P = 0.0012) for KT/V 1.2 to less than 1.4 and 0.67 (P = 0.0029) for KT/V > or = 1.4 (mean, 1.6) compared with 1.0 to less than 1.2 as the baseline. In the diabetic patients, the relative risk of death was 0.70 (P = 0.009) for KT/V 1.2 to less than 1.4 and 0.59 (P = 0.0001) for KT/V > or = 1.4 (mean, 1.6) compared with 1.0 to less than 1.2. In the diabetic patients, KT/V > or = 1.4 also was significantly different from 1.2 to less than 1.4 as it impacted on death rates.(ABSTRACT TRUNCATED AT 400 WORDS)

Entities:  

Mesh:

Substances:

Year:  1994        PMID: 8311087     DOI: 10.1016/s0272-6386(12)80984-x

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  20 in total

1.  Healthcare system interventions for inequality in quality: corrective action through evidence-based medicine.

Authors:  William F Owen; Lynda A Szczech; Diane L Frankenfield
Journal:  J Natl Med Assoc       Date:  2002-08       Impact factor: 1.798

Review 2.  The clinical trial imperative.

Authors:  Debbie Gipson; Howard Trachtman
Journal:  Pediatr Nephrol       Date:  2004-11-25       Impact factor: 3.714

3.  Body composition monitoring-derived urea distribution volume in children on chronic hemodialysis.

Authors:  Ariane Zaloszyc; Michel Fischbach; Betti Schaefer; Lorenz Uhlmann; Rémi Salomon; Saoussen Krid; Claus Peter Schmitt
Journal:  Pediatr Nephrol       Date:  2016-01-11       Impact factor: 3.714

4.  Impact of residual kidney function on hemodialysis adequacy and patient survival.

Authors:  Mengjing Wang; Yoshitsugu Obi; Elani Streja; Connie M Rhee; Jing Chen; Chuanming Hao; Csaba P Kovesdy; Kamyar Kalantar-Zadeh
Journal:  Nephrol Dial Transplant       Date:  2018-10-01       Impact factor: 5.992

Review 5.  Chronic Hemodialysis Therapy in the West.

Authors:  Michael V Rocco
Journal:  Kidney Dis (Basel)       Date:  2015-11-18

6.  Hypoalbuminemia in acute illness: is there a rationale for intervention? A meta-analysis of cohort studies and controlled trials.

Authors:  Jean-Louis Vincent; Marc-Jacques Dubois; Roberta J Navickis; Mahlon M Wilkes
Journal:  Ann Surg       Date:  2003-03       Impact factor: 12.969

7.  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

8.  Balancing the Evidence: How to Reconcile the Results of Observational Studies vs. Randomized Clinical Trials in Dialysis.

Authors:  Jenny I Shen; Erik L Lum; Tara I Chang
Journal:  Semin Dial       Date:  2016-05-21       Impact factor: 3.455

9.  Association of hemodialysis treatment time and dose with mortality and the role of race and sex.

Authors:  Jessica E Miller; Csaba P Kovesdy; Allen R Nissenson; Rajnish Mehrotra; Elani Streja; David Van Wyck; Sander Greenland; Kamyar Kalantar-Zadeh
Journal:  Am J Kidney Dis       Date:  2009-10-22       Impact factor: 8.860

Review 10.  The Nitty-Gritties of Kt/Vurea Calculations in Hemodialysis and Peritoneal Dialysis.

Authors:  Brian Mark Churchill; Pallavi Patri
Journal:  Indian J Nephrol       Date:  2021-04-02
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.