A Markov model study on the hierarchical prognosis and risk factors in patients with chronic kidney disease

摘要：

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 CKDS 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.

关键词： Multi-stale Markov model Kidney disease chronic Prognosis Risk factor

作者: Liu Xun Lv Linsheng Ling Li Lou Tanqi

作者单位: Division of Nephrology,Department of Internal Medicine The Third Affiliated Hospital,Sun Yet-sun Un Operating Room The Third Affiliated Hospital of Sun Yet-sun University Guangzhou,China Department of Medical Statistics and Epidemiology Sun Yet-sun University Guangzhou,China Division of Nephrology,Department of Internal Medicine The Third Affiliated Hospital,Sun Yet-sun Uni

会议类型: 国际会议

会议名称: 2012 International Conference on Computer Science and Electronic Engineering(2012 IEEE计算机科学与电子工程国际会议 ICCSEE 2012)

会议地点: 杭州

会议语种:英文

页码: 334-338

在线出版日期: 2012-03-23（万方平台首次上网日期，不代表论文的发表时间）