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

机译:马尔可夫模型研究慢性肾脏病患者的分级预后和危险因素

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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 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.
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CKDS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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