与透析相关的建模因子 纵向数据分析的透析充分性:通用估计方程与二次推理函数对比
Khadije Gholian1, Karimollah Hajian-Tilaki2,3, Roghayeh Akbari4
1Student Research Center, Research Institute, Babol University of Medical Sciences, Babol, Iran.
透析充分性 (DA) 对于大多数血液透析患者来说是次优的. 性别,年龄,高血压,糖尿病,透析持续时间和体重等因素显著影响DA,二次推理函数 (QIF) 模型被证明更有效.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 公共卫生 公共卫生
- 生物统计学 生物统计学
背景情况:
- 透析充分性 (DA) 对血液透析患者至关重要.
- 在DA的纵向变化需要调查,以确定影响因素.
研究的目的:
- 确定影响血液透析患者透析充足度 (DA) 的因素.
- 为了比较概括估计方程 (GEE) 和二次推理函数 (QIF) 模型在分析 DA 的性能.
主要方法:
- 一项纵向研究分析了153名末期病 (ESRD) 患者的记录.
- GEE1,GEE2和QIF模型配备了各种相关结构.
- 模型的选择是根据QIC,AIC和BIC标准进行的.
主要成果:
- 大多数患者 (59.5%) 呈现不利的DA (KT/V<1.2).
- 有利的DA与女性性别,年龄较小 (<60岁),透析持续时间较长有关.
- 高血压,糖尿病和体重增加与不良的DA有关.
结论:
- 大多数血液透析患者无法达到最佳透析充分性.
- 影响DA的关键因素包括性别,年龄,高血压,糖尿病,透析持续时间和体重.
- 虽然GEE和QIF模型产生了类似的系数估计,但QIF显示出更高的效率.
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