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A new single-sample, time-flexible, empirically-derived formula for measuring glomerular filtration rate from a single blood sample

机译:用于测量来自单个血液样品的肾小球过滤速率的新单样本,时间柔性,经验衍生的公式

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Background Measurement of glomerular filtration rate from a single blood sample using filtration markers may be based on empirical or model-based formulae. The former do not require a whole body metric but are sample time-inflexible. The latter include time as a continuous variable but require a whole body metric to estimate extracellular fluid volume. This study describes a new empirical method that is time-flexible and requires no whole body metric. Methods Data comprise 982 slope-intercept glomerular filtration rate measurements from a single institution in which the correlation coefficient of the three-sample fit was >= 0.999. In 582 measurements, samples were taken at 118-122, 144-148, 178-182, 202-206 or 238-242 minutes. Within each of these five sample time groups, slope, k(t), of the regression of apparent volume of distribution (Vt) against slope-intercept glomerular filtration rate was recorded following exclusion of outliers. The five sampling times correlated closely and exponentially with k(t) (=5.4.e(-0.006t)), allowing calculation of k(t) for any sampling time. In a further 341 measurements, glomerular filtration rate from a single blood sample was calculated as [k(t).V(t)] and compared with slope-intercept glomerular filtration rate. Sample time for glomerular filtration rate from a single blood sample is critical, so the most appropriately timed sample was chosen according to slope-intercept glomerular filtration rate/1.73 m(2). Results The current method compared favourably with three previously published model-based methods (Fleming et al., Jacobsson and Gref and Karp), showing better precision, and unlike the other three, no correlation between difference and average on Bland-Altman analysis. Conclusion This completely time-flexible, empirically-derived approach to glomerular filtration rate from a single blood sample requires no whole body metric, is simple, equally applicable to children and adults and superior to three model-based methods.
机译:背景技术使用过滤标记物的单个血液样品的肾小球过滤速率可以基于经验或模型的公式。前者不需要全身度量,但是样本时间不灵活。后者包括作为连续变量的时间,但需要全身度量来估计细胞外液体体积。本研究描述了一种新的经验方法,即时间灵活,无需全身度量。方法数据包括来自单个机构的982坡斜肾小球过滤速率测量,其中三样本配合的相关系数> = 0.999。在582次测量中,在118-122,144-148,178-182,202-206或238-242分钟中进行样品。在排除异常值之后,记录了这五个采样时间组中的每五个样品时间组,斜率,K(t)的斜率体积(vt)的回归,记录了斜坡斜肾小球过滤速率。五个采样时间与k(t)(= 5.4.e(-0.006t))密切相关,呈现,允许计算k(t)进行任何采样时间。在另外的341测量中,从单个血液样品的肾小球过滤速率计算为[k(t).v(t)]并与斜坡拦截肾小球过滤速率进行比较。来自单个血液样品的肾小球过滤速率的采样时间至关重要,因此根据斜坡拦截肾小球过滤速率/ 1.73m(2)选择最适当定时的样品。结果目前的方法与三种以前发表的基于模型的方法相比(弗莱明等,雅各布森和格莱夫和karp)相比,表现出更好的精度,并与其他三个不同,差异与平均水平之间的相关性和平均水平。结论这种完全柔性的经验衍生的肾小球过滤速率从单一血液样品中无需全身度量,简单,同样适用于儿童和成人,优于三种基于模型的方法。

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