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

机译:慢性肾脏病患者分层预后及其危险因素的马尔可夫模型研究

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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.
机译:背景:CKD患者的分级预后和危险因素研究较少。方法:对272例CKD患者进行了调查。建立了包括六个状态[CKD1,CKD2,CKD3,CKD4,CKD5以及死亡/终末期肾脏疾病(ESRD)]的马尔可夫模型。结果:平均随访时间为2。0年。 CKD1,CKD2,CKD3,CKD4和CKD5状态的平均持续时间分别为8.4年,5.8年,4.0年,1.8年和0.8年。平均肾脏生存或无透析期为20.8年。马尔可夫模型的多变量分析显示了影响预后的因素。结论:应根据CKD患者不同状态的预后及影响因素,对CKD患者的病情轻重和治疗方法进行评估。

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