liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Estimation of dialysis patients survival through combined approach of small molecule uremic markers
Tallinn University of Technology, Estonia.
Tallinn University of Technology, Estonia.
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Center, Department of Nephrology. Tallinn University of Technology, Estonia.
Linköping University, Department of Medical and Health Sciences, Division of Drug Research. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Center, Department of Nephrology.
Show others and affiliations
2014 (English)In: Proceedings of the Estonian Academy of Sciences, ISSN 1736-6046, E-ISSN 1736-7530, Vol. 63, no 3, 227-233 p.Article in journal (Refereed) Published
Abstract [en]

Survival rate of dialysis patients is still alarmingly low and various factors may have in it an important role. The purpose of this study was to observe the relationship between the survival of dialysis patients and the serum level of urea, creatinine, and uric acid (UA). Serum urea and creatinine concentrations may express patients nutritional status and muscle mass, and high UA value may refer to higher risk for cardiovascular events. The idea of combining the concentrations and removal of urea and UA into a single model for predicting the patients outcome is introduced. The study included 33 hemodialysis patients from Link ping, Sweden and 10 from Tallinn, Estonia. Kaplan-Meier analysis was used for survival analysis. Logistic and Cox regression analysis was applied to create models for predicting patients three-year survival. It was observed that higher serum UA is significantly related to poor survival in dialysis patients (p = 0.026). A reverse effect was observed in case of urea (p = 0.095). The level of creatinine was not related to survival (p = 0.905). The best logistic regression model for predicting patients outcome included both UA and urea based parameters (Chi Square 21.0, p = 0.0001). Survival of dialysis patients seems to be determined by a set of causal factors and combined models may have a predictive relevance. A possibility for automatic online monitoring of small molecule uremic markers is proposed. Since the number of participating patients was small, larger studies including more patients and testing the models in independent validation cohort is the future goal.

Place, publisher, year, edition, pages
Estonian Academy Publishers , 2014. Vol. 63, no 3, 227-233 p.
Keyword [en]
dialysis; survival; prediction models; urea; uric acid; creatinine
National Category
Clinical Medicine
Identifiers
URN: urn:nbn:se:liu:diva-111305DOI: 10.3176/proc.2014.3.04ISI: 000341620600006OAI: oai:DiVA.org:liu-111305DiVA: diva2:755266
Note

Funding Agencies|County Council of Ostergotland, Sweden; Estonian Science Foundation [8621]; Estonian Ministry of Education and Research [IUT 19-2]; European Union through the European Regional Development Fund

Available from: 2014-10-14 Created: 2014-10-14 Last updated: 2017-12-05

Open Access in DiVA

No full text

Other links

Publisher's full text

Authority records BETA

Uhlin, FredrikFernström, Anders

Search in DiVA

By author/editor
Uhlin, FredrikFernström, Anders
By organisation
Division of Cardiovascular MedicineFaculty of Health SciencesDepartment of NephrologyDivision of Drug Research
In the same journal
Proceedings of the Estonian Academy of Sciences
Clinical Medicine

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 111 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf