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Kidney function changes with aging in adults: comparison between cross-sectional and longitudinal data analyses in renal function assessment

机译:成年人肾功能随年龄的增长而变化:肾功能评估中横断面和纵向数据分析的比较

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The study evaluated whether the renal function decline rate per year with age in adults varies based on two primary statistical analyses: cross-section (CS), using one observation per subject, and longitudinal (LT), using multiple observations per subject over time. A total of 16628 records (3946 subjects; age range 30-92 years) of creatinine clearance and relevant demographic data were used. On average, four samples per subject were collected for up to 2364 days (mean: 793 days). A simple linear regression and random coefficient models were selected for CS and LT analyses, respectively. The renal function decline rates per year were 1.33 and 0.95 ml/min/year for CS and LT analyses, respectively, and were slower when the repeated individual measurements were considered. The study confirms that rates are different based on statistical analyses, and that a statistically robust longitudinal model with a proper sampling design provides reliable individual as well as population estimates of the renal function decline rates per year with age in adults. In conclusion, our findings indicated that one should be cautious in interpreting the renal function decline rate with aging information because its estimation was highly dependent on the statistical analyses. From our analyses, a population longitudinal analysis (e.g. random coefficient model) is recommended if individualization is critical, such as a dose adjustment based on renal function during a chronic therapy. Copyright (C) 2015 John Wiley & Sons, Ltd.
机译:该研究基于两项主要的统计分析评估成年人每年肾功能下降率是否随年龄变化:横断面(CS)(每位受试者使用一项观察结果)和纵断面(LT),每位受试者随时间进行多次观察结果。总共使用了16628条记录(3946名受试者;年龄在30-92岁之间)的肌酐清除率和相关的人口统计学数据。平均每个受试者收集四个样本,时间长达2364天(平均793天)。分别为CS和LT分析选择了简单的线性回归和随机系数模型。 CS和LT分析的每年肾功能下降率分别为1.33 ml / min /年/0.95 ml / min /年,而考虑到重复的个体测量,则肾病的下降速度较慢。这项研究证实,基于统计分析得出的比率是不同的,并且具有适当采样设计的统计稳健的纵向模型可以提供可靠的个体以及人群对成年人年龄每年肾功能下降率的估计。总之,我们的发现表明,在解释具有衰老信息的肾功能下降率时应谨慎,因为其估计高度依赖于统计分析。根据我们的分析,如果个性化至关重要,建议进行人群纵向分析(例如随机系数模型),例如在慢性治疗期间根据肾功能进行剂量调整。版权所有(C)2015 John Wiley&Sons,Ltd.

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