Literature DB >> 16253726

The natural history of chronic renal failure: results from an unselected, population-based, inception cohort in Sweden.

Marie Evans1, Jon P Fryzek, Carl-Gustaf Elinder, Sarah S Cohen, Joseph K McLaughlin, Olof Nyrén, C Michael Fored.   

Abstract

BACKGROUND: Mortality rates in patients with chronic renal failure (CRF) are high both before and after start of renal replacement therapy (RRT). However, few studies of mortality and progression have been performed in an unselected CRF population.
METHODS: We followed up a population-based inception cohort of 920 men and women aged 18 to 74 years who had CRF (serum creatinine level > 3.4 mg/dL [>300 micromol/L] for men and >2.8 mg/dL [>250 micromol/L] for women) for 55 to 79 months. Relationships between the outcomes (death and start of RRT) and independent variables under study (age, sex, primary renal disease, body mass index [BMI], and glomerular filtration rate [GFR] at entry) were explored by using Cox regression models.
RESULTS: Seven hundred thirty-nine patients (80%) started RRT during the follow-up period. As expected, GFR at entry was clearly linked to the incidence of RRT (P < 0.0001). Age was related inversely to incidence of RRT (adjusted relative risk for patients > or =65 years relative to patients <45 years, 0.72; 95% confidence interval, 0.57 to 0.90). Men progressed to RRT more often than women (adjusted relative risk, 1.59; 95% confidence interval, 1.35 to 1.88). BMI was unrelated to RRT incidence. By the end of follow-up, 389 patients with CRF (42%) had died, 89 of them (10%) before the start of RRT. The most common primary cause of death was cardiovascular disease (37.5%). Characteristics significantly related to a greater mortality rate included older age, diagnoses of diabetic nephropathy and nephrosclerosis, and low BMI.
CONCLUSION: Preuremic characteristics (age, sex, primary renal diagnosis, BMI, and GFR) are predictive of prognosis in unselected patients with CRF.

Entities:  

Mesh:

Substances:

Year:  2005        PMID: 16253726     DOI: 10.1053/j.ajkd.2005.07.040

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


  52 in total

1.  Sex-Related Disparities in CKD Progression.

Authors:  Ana C Ricardo; Wei Yang; Daohang Sha; Lawrence J Appel; Jing Chen; Marie Krousel-Wood; Anjella Manoharan; Susan Steigerwalt; Jackson Wright; Mahboob Rahman; Sylvia E Rosas; Milda Saunders; Kumar Sharma; Martha L Daviglus; James P Lash
Journal:  J Am Soc Nephrol       Date:  2018-12-03       Impact factor: 10.121

Review 2.  The elderly patients on hemodialysis.

Authors:  S Anand; M Kurella Tamura; G M Chertow
Journal:  Minerva Urol Nefrol       Date:  2010-03       Impact factor: 3.720

3.  Evidence-based practice guideline for the treatment of CKD.

Authors: 
Journal:  Clin Exp Nephrol       Date:  2009-12       Impact factor: 2.801

4.  Does chronic kidney disease modify the association between body mass index and cardiovascular disease risk factors.

Authors:  Nisha Bansal; Eric Vittinghoff; Laura Plantinga; Chi-Yuan Hsu
Journal:  J Nephrol       Date:  2012 May-Jun       Impact factor: 3.902

Review 5.  Obesity in CKD--what should nephrologists know?

Authors:  Peter Stenvinkel; Carmine Zoccali; T Alp Ikizler
Journal:  J Am Soc Nephrol       Date:  2013-10-10       Impact factor: 10.121

6.  Protein energy wasting in children with chronic kidney disease.

Authors:  Alison G Abraham; Robert H Mak; Mark Mitsnefes; Colin White; Marva Moxey-Mims; Bradley Warady; Susan L Furth
Journal:  Pediatr Nephrol       Date:  2014-02-07       Impact factor: 3.714

7.  A nurse-coordinated model of care versus usual care for stage 3/4 chronic kidney disease in the community: a randomized controlled trial.

Authors:  Brendan J Barrett; Amit X Garg; Ron Goeree; Adeera Levin; Anita Molzahn; Claudio Rigatto; Joel Singer; George Soltys; Steven Soroka; Dieter Ayers; Patrick S Parfrey
Journal:  Clin J Am Soc Nephrol       Date:  2011-05-26       Impact factor: 8.237

8.  Screening strategies for chronic kidney disease in the general population: follow-up of cross sectional health survey.

Authors:  Stein I Hallan; Ketil Dahl; Cecilia M Oien; Diana C Grootendorst; Arne Aasberg; Jostein Holmen; Friedo W Dekker
Journal:  BMJ       Date:  2006-10-24

9.  Inverse associations between androgens and renal function: the Young Men Cardiovascular Association (YMCA) study.

Authors:  Maciej Tomaszewski; Fadi J Charchar; Christine Maric; Roman Kuzniewicz; Mateusz Gola; Wladyslaw Grzeszczak; Nilesh J Samani; Ewa Zukowska-Szczechowska
Journal:  Am J Hypertens       Date:  2008-10-30       Impact factor: 2.689

10.  Factors related to nephrotic-range proteinuria in late-stage chronic kidney disease patients with diabetes mellitus.

Authors:  Yit-Sheung Yap; Hung-Yi Chuang; Wen-Che Chi; Cheng-Hao Lin; Yi-Wen Wu; Pai-Chun Chang; Yi-Chun Liu
Journal:  Int Urol Nephrol       Date:  2013-01-26       Impact factor: 2.370

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.