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首页> 外文期刊>International Journal of Medical Sciences >Predicting One-Year Mortality in Peritoneal Dialysis Patients: An Analysis of the China Peritoneal Dialysis Registry
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Predicting One-Year Mortality in Peritoneal Dialysis Patients: An Analysis of the China Peritoneal Dialysis Registry

机译:预测腹膜透析患者的一年死亡率:中国腹膜透析注册中心的分析

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This study aims to investigate basic clinical features of peritoneal dialysis (PD) patients, their prognostic risk factors, and to establish a prognostic model for predicting their one-year mortality. A national multi-center cohort study was performed. A total of 5,405 new PD cases from China Peritoneal Dialysis Registry in 2012 were enrolled in model group. All these patients had complete baseline data and were followed for one year. Demographic and clinical features of these patients were collected. Cox proportional hazards regression model was used to analyze prognostic risk factors and establish prognostic model. A validation group was established using 1,764 new PD cases between January 1, 2013 and July 1, 2013, and to verify accuracy of prognostic model. Results indicated that model group included 4,453 live PD cases and 371 dead cases. Multivariate survival analysis showed that diabetes mellitus (DM), residual glomerular filtration rate (rGFR), , SBP, Kt/V, high PET type and Alb were independently associated with one-year mortality. Model was statistically significant in both within-group verification and outside-group verification. In conclusion, DM, rGFR, SBP, Kt/V, high PET type and Alb were independent risk factors for short-term mortality in PD patients. Prognostic model established in this study accurately predicted risk of short-term death in PD patients.
机译:这项研究旨在调查腹膜透析(PD)患者的基本临床特征,他们的预后危险因素,并建立预测其一年死亡率的预后模型。进行了一项国家多中心队列研究。模型组共纳入了2012年中国腹膜透析登记处的5405例新的PD病例。所有这些患者均具有完整的基线数据,并随访了一年。收集这些患者的人口统计学和临床​​特征。使用Cox比例风险回归模型分析预后危险因素并建立预后模型。在2013年1月1日至2013年7月1日期间,使用1,764例新的PD病例建立了一个验证小组,以验证预后模型的准确性。结果表明,模型组包括4,453例存活的PD病例和371例死亡的病例。多元生存分析表明,糖尿病(DM),残余肾小球滤过率(rGFR),SBP,Kt / V,高PET类型和Alb与一年死亡率独立相关。该模型在组内验证和组外验证中均具有统计学意义。总之,DM,rGFR,SBP,Kt / V,高PET类型和Alb是PD患者短期死亡率的独立危险因素。本研究建立的预后模型可准确预测PD患者的短期死亡风险。

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