A Markov Model Study on the Hierarchical Prognosis and Risk Factors in Patients with Chronic Kidney Disease

Author

Xun, Liu ; Linsheng, Lv ; Li, Ling ; Tanqi, Lou

Author_Institution

Dept. of Internal Med., Sun Yet-sun Univ., Guangzhou, China

Volume

2

fYear

2012

Firstpage

334

Lastpage

338

Abstract

Background: The hierarchical prognosis and risk factors in patients with CKD is less well studied. Methods: 272 CKD patients were investigated. Markov model including six states [CKD1, CKD2, CKD3, CKD4, CKD5 as well as death/ end-stage renal disease (ESRD)] were established. Results: The mean follow-up was 2.0 years. The mean duration in state CKD1, CKD2, CKD3, CKD4 and CKD5 were 8.4 years, 5.8 years, 4.0 years, 1.8 years and 0.8 years respectively. Mean renal survival or dialysis-free period was 20.8 years. Multivariates analysis of Markov model showed the impact factors of prognosis. Conclusions: Evaluation of severity and the treatment of CKD patients should be made according to the prognosis and influencing factors of different states in CKD patients.

Keywords

Markov processes; diseases; patient diagnosis; patient treatment; risk analysis; CKD patients treatment; CKD1; CKD2; CKD3; CKD4; CKD5; ESRD; Markov model study; chronic kidney disease; death-end-stage renal disease; dialysis-free period; mean renal survival; multivariates analysis; patient hierarchical prognosis; patient risk factors; prognosis impact factors; time 0.8 year; time 1.8 year; time 20.8 year; time 4.0 year; time 5.8 year; time 8.4 year; Analytical models; Diabetes; Diseases; History; Kidney; Markov processes; Proteins; Kidney disease chronic; Multi-state Markov model; Prognosis; Risk factor;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on

Print_ISBN

978-1-4673-0689-8

Type

conf

DOI

10.1109/ICCSEE.2012.104

Filename

6188033