Literature DB >> 16998216

Confounding effect of comorbidity in survival studies in patients on renal replacement therapy.

Jeannette G van Manen1, Paul C W van Dijk, Vianda S Stel, Friedo W Dekker, Montse Clèries, Ferruccio Conte, Terry Feest, Reinhard Kramar, Torbjørn Leivestad, J Douglas Briggs, Bénédicte Stengel, Kitty J Jager.   

Abstract

BACKGROUND: After taking other confounding factors into account, the impact of comorbidity on mortality was investigated when comparing mortality between five European countries, dialysis modalities and renal disease groups.
METHODS: The study included 15 571 incident patients on renal replacement therapy (RRT) from five national or regional registries participating in the European Renal Association-European Dialysis and Transplant Association Registry that collect comorbidity data. The presence of diabetes mellitus, ischaemic heart disease, peripheral vascular disease, cerebrovascular disease and malignancy was recorded at the start of RRT.
RESULTS: The comorbidities were each independently associated with mortality, with hazard ratios (HRs) ranging from 1.40 (95% CI: 1.30-1.51) for peripheral vascular disease to 1.65 (95% CI: 1.48-1.83) for diabetes. Age, gender, primary renal disease, modality and country together explained 14.4% of the variance in mortality; the comorbidities explained an additional 1.9%. In the comparison of renal vascular disease with glomerulonephritis, the crude HR of 2.40 (95% CI: 2.12-2.72) changed to 1.24 (95% CI: 1.09-1.41) after adjustment for age, gender, primary renal disease, treatment modality and country and to 1.06 (95% CI: 0.93-1.22) after further adjustment for the comorbidities. For the comparison between countries and other patient groups, the change in the survival estimate after adjustment for comorbidity was less.
CONCLUSION: Comorbidity is an important predictor for mortality. However, after adjustment for age, gender, primary renal disease, treatment modality and country, when comparing outcomes between patient groups the influence of comorbidity may be less important than expected.

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Year:  2006        PMID: 16998216     DOI: 10.1093/ndt/gfl502

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  16 in total

1.  Comorbidities and survival of patients with type 1 diabetes on renal replacement therapy.

Authors:  J Helve; M Haapio; P-H Groop; C Grönhagen-Riska; P Finne
Journal:  Diabetologia       Date:  2011-04-05       Impact factor: 10.122

2.  Outcomes of male patients with Alport syndrome undergoing renal replacement therapy.

Authors:  Johanna Temme; Anneke Kramer; Kitty J Jager; Katharina Lange; Frederick Peters; Gerhard-Anton Müller; Reinhard Kramar; James G Heaf; Patrik Finne; Runolfur Palsson; Anna V Reisæter; Andries J Hoitsma; Wendy Metcalfe; Maurizio Postorino; Oscar Zurriaga; Julio P Santos; Pietro Ravani; Faical Jarraya; Enrico Verrina; Friedo W Dekker; Oliver Gross
Journal:  Clin J Am Soc Nephrol       Date:  2012-09-20       Impact factor: 8.237

3.  A validation study of the Canadian Organ Replacement Register.

Authors:  Louise M Moist; Heather A Richards; Dana Miskulin; Charmaine E Lok; Karen Yeates; Amit X Garg; Lilyanna Trpeski; Ann Chapman; Joseph Amuah; Brenda R Hemmelgarn
Journal:  Clin J Am Soc Nephrol       Date:  2011-01-21       Impact factor: 8.237

4.  Hemoglobin variability does not predict mortality in European hemodialysis patients.

Authors:  Kai-Uwe Eckardt; Joseph Kim; Florian Kronenberg; Pedro Aljama; Stefan D Anker; Bernard Canaud; Bart Molemans; Peter Stenvinkel; Guntram Schernthaner; Elizabeth Ireland; Bruno Fouqueray; Iain C Macdougall
Journal:  J Am Soc Nephrol       Date:  2010-08-26       Impact factor: 10.121

5.  Outcomes associated with in-center nocturnal hemodialysis from a large multicenter program.

Authors:  Eduardo Lacson; Weiling Wang; Keith Lester; Norma Ofsthun; J Michael Lazarus; Raymond M Hakim
Journal:  Clin J Am Soc Nephrol       Date:  2009-12-03       Impact factor: 8.237

6.  Exploring the association between macroeconomic indicators and dialysis mortality.

Authors:  Anneke Kramer; Vianda S Stel; Fergus J Caskey; Benedicte Stengel; Robert F Elliott; Adrian Covic; Claudia Geue; Ana Cusumano; Alison M Macleod; Kitty J Jager
Journal:  Clin J Am Soc Nephrol       Date:  2012-07-26       Impact factor: 8.237

Review 7.  Factors affecting outcomes in patients reaching end-stage kidney disease worldwide: differences in access to renal replacement therapy, modality use, and haemodialysis practices.

Authors:  Bruce M Robinson; Tadao Akizawa; Kitty J Jager; Peter G Kerr; Rajiv Saran; Ronald L Pisoni
Journal:  Lancet       Date:  2016-05-22       Impact factor: 79.321

8.  Increased risk of fatal infections in women starting peritoneal dialysis.

Authors:  Silvia Ros; Cesar Remón; Abdul Rashid Qureshi; Pedro Quiros; Bengt Lindholm; Juan Jesús Carrero
Journal:  Perit Dial Int       Date:  2013-10-01       Impact factor: 1.756

9.  Key comorbid conditions that are predictive of survival among hemodialysis patients.

Authors:  Dana Miskulin; Jennifer Bragg-Gresham; Brenda W Gillespie; Francesca Tentori; Ronald L Pisoni; Hocine Tighiouart; Andrew S Levey; Friedrich K Port
Journal:  Clin J Am Soc Nephrol       Date:  2009-09-24       Impact factor: 8.237

10.  Impact of a modified data capture period on Liu comorbidity index scores in Medicare enrollees initiating chronic dialysis.

Authors:  Sally K Rigler; James B Wetmore; Jonathan D Mahnken; Lei Dong; Edward F Ellerbeck; Theresa I Shireman
Journal:  BMC Nephrol       Date:  2013-02-27       Impact factor: 2.388

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