Clinical Measures Identify Vitamin D Deficiency in Dialysis
Clinical Measures Identify Vitamin D Deficiency in Dialysis
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DOI：
10.2215/cjn.06440909
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发表时间：
2010-03-01
影响因子：
9.8
通讯作者：
Thadhani, Ravi
中科院分区：
文献类型：
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作者：
Bhan, Ishir;Burnett-Bowie, Sherri-Ann M.;Thadhani, Ravi
背景和目的：维生素 D 缺乏（定义为血清 25-羟基维生素 D 水平）在接受血液透析的 ESRD 患者中很常见，但危险因素尚不清楚。本研究旨在确定常规测量的临床和人口统计学参数是否可以识别维生素 D 缺乏的透析患者。 设计、设置、参与者和测量：从美国透析患者的肾脏替代加速死亡率 (ArMORR) 队列中确定了 908 名 25-羟基维生素 D 水平的患者，并将其分为训练组 (60%) 和验证组 (40%)。使用逻辑回归模型、神经网络和以维生素 D 缺乏症为因变量的决策树，根据训练集中常规评估的临床和人口统计数据生成预测模型。对模型进行渐进变量减少，以确定仍然具有预测能力的最简单模型。结果：79% 的人口缺乏维生素 D（25-羟基维生素 D）
Background and objectives: Vitamin D deficiency (defined by serum levels of 25-hydroxyvitamin D) is common in patients with ESRD on hemodialysis, but risk factors are unknown. This study was conducted to determine whether routinely measured clinical and demographic parameters could identify dialysis patients who are vitamin D deficient.Design, setting, participants, & measurements: Nine-hundred eight patients with 25-hydroxyvitamin D levels were identified from the Accelerated Mortality on Renal Replacement (ArMORR) cohort of incident U.S. dialysis patients and were divided into training (60%) and validation (40%) sets. Predictive models were generated from routinely assessed clinical and demographic data in the training set using logistic regression modeling, neural networks, and decision trees with vitamin D deficiency as the dependent variable. Models underwent progressive variable reduction to identify the simplest model that remained predictive.Results: Seventy-nine percent of the population was vitamin D deficient (25-hydroxyvitamin D