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Continuous Age- and Sex-Adjusted Reference Intervals of Urinary Markers for Cerebral Creatine Deficiency Syndromes: A Novel Approach to the Definition of Reference Intervals

机译:连续的年龄和性别调整的脑肌酐缺乏综合征的尿液标记的参考间隔:参考间隔定义的一种新方法。

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摘要

BACKGROUND: Urinary concentrations of creatine and guanidinoacetic acid divided by creatinine are informative markers for cerebral creatine deficiency syndromes (CDSs). The renal excretion of these substances varies substantially with age and sex, challenging the sensitivity and specificity of postanalytical interpretation. METHODS: Results from 155 patients with CDS and 12507 reference individuals were contributed by 5 diagnostic laboratories. They were binned into 104 adjacent age intervals and renormalized with Box-Cox transforms (Ξ). Estimates for central tendency (μ) and dispersion (σ) of Ξ were obtained for each bin. Polynomial regression analysis was used to establish the age dependence of both μ[log(age)] and σ[log(age)]. The regression residuals were then calculated as z-scores = {Ξ - μ[log(age)]}/σ[log(age)]. The process was iterated until all z-scores outside Tukey fences ±3.372 were identified and removed. Continuous percentile charts were then calculated and plotted by retransformation. RESULTS: Statistically significant and biologically relevant subgroups of z-scores were identified. Significantly higher marker values were seen in females than males, necessitating separate reference intervals in both adolescents and adults. Comparison between our reconstructed reference percentiles and current standard age-matched reference intervals highlights an underlying risk of falsepositive and false-negative events at certain ages. CONCLUSIONS: Disease markers depending strongly on covariates such as age and sex require large numbers of reference individuals to establish peripheral percentiles with sufficient precision. This is feasible only through collaborative data sharing and the use of appropriate statistical methods. Broad application of this approach can be implemented through freely available Web-based software.
机译:背景:尿中肌酸和胍基乙酸的浓度除以肌酐是脑肌酐缺乏症候群(CDSs)的信息标记。这些物质的肾脏排泄随着年龄和性别的不同而有很大差异,这对分析后解释的敏感性和特异性提出了挑战。方法:155个CDS患者和12507个参考个体的结果由5个诊断实验室提供。将它们分为104个相邻的年龄区间,并使用Box-Cox变换(Ξ)重新归一化。对于每个箱,获得central的中心趋势(μ)和离散度(σ)的估计值。多项式回归分析用于建立μ[log(age)]和σ[log(age)]的年龄依赖性。然后,将回归残差计算为z分数= {Ξ-μ[log(age)]} /σ[log(age)]。重复该过程,直到识别并除去Tukey栅栏±3.372之外的所有z分数。然后计算连续百分位图,并通过重新变换进行绘制。结果:鉴定具有统计意义和生物学相关的z分数亚组。女性的标志物值明显高于男性,因此在青少年和成人中都需要单独的参考间隔。我们重构的参考百分位数与当前标准年龄匹配的参考区间之间的比较突出显示了在某些年龄发生假阳性和假阴性事件的潜在风险。结论:疾病标记物强烈依赖于年龄和性别等协变量,因此需要大量的参考个体以足够的精确度建立外周百分比。仅通过协作数据共享和使用适当的统计方法,这才是可行的。该方法的广泛应用可以通过免费的基于Web的软件来实现。

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