Divisions of Diabetes Translation and National Center for Health Statistics, Centers for Disease Control and Prevention, Atlanta, GA.
Divisions of National Center for Health Statistics, Centers for Disease Control and Prevention, Atlanta, GA.
Am J Clin Nutr. 2018 Sep 1;108(3):532-547. doi: 10.1093/ajcn/nqy138.
24-h urine collections are the suggested method to measure daily urinary potassium excretion (uK) but are costly and burdensome to implement.
This study tested how well existing equations with the use of spot urine samples can estimate 24-h uK and if accuracy varies by timing of spot urine collection, age, race, or sex.
This cross-sectional study used data from 407 participants aged 18-39 y from the Washington, DC area in 2011 and 554 participants aged 45-79 y from Chicago in 2013. Spot urine samples were collected in individual containers for 24 h, and 1 for each timed period (morning, afternoon, evening, and overnight) was selected. For each selected timed spot urine, 24-h uK was predicted through the use of published equations. Difference (bias) between predicted and measured 24-h uK was calculated for each timed period and within age, race, and sex subgroups. Individual-level differences were assessed through the use of Bland-Altman plots and correlation tests.
For all equations, regardless of the timing of spot urine, mean bias was usually significantly different than 0. No one prediction equation was unbiased across all sex, race, and age subgroups. With the use of the Kawasaki and Tanaka equations, 24-h uK was overestimated at low levels and underestimated at high levels, whereas observed differential bias with the Mage equation was in the opposite direction. Depending on prediction equation and timing of urine sample, 61-75% of individual 24-h uKs were misclassified among 500-mg incremental categories from <1500 to ≥3000 mg. Correlations between predicted and measured 24-h uK were poor to moderate (0.19-0.71).
Because predicted 24-h uK accuracy varies by timing of spot urine collection, published prediction equations, and within age-race-sex subgroups, study results making use of predicted 24-h uK in association with health outcomes should be interpreted with caution. It is possible that a more accurate prediction equation can be developed leading to different results.
24 小时尿液收集是测量每日尿钾排泄量(uK)的推荐方法,但实施起来成本高且繁琐。
本研究通过使用单次尿液样本检测,测试现有的方程能否准确估算 24 小时 uK,以及准确性是否因单次尿液采集时间、年龄、种族或性别而有所不同。
本横断面研究使用了 2011 年来自华盛顿特区地区的 407 名 18-39 岁参与者和 2013 年来自芝加哥的 554 名 45-79 岁参与者的数据。参与者将各自的 24 小时尿液收集在单独的容器中,并选择每个时间段(早上、下午、晚上和夜间)的一份尿液样本。对于每个选定的时间段内的单次尿液样本,使用已发表的方程预测 24 小时 uK。对于每个时间段以及在年龄、种族和性别亚组内,计算预测的 24 小时 uK 与实测值之间的差异(偏差)。通过 Bland-Altman 图和相关测试评估个体差异。
对于所有方程,无论单次尿液采集时间如何,平均偏差通常与 0 有显著差异。没有一种预测方程在所有性别、种族和年龄亚组中都是无偏差的。使用 Kawasaki 和 Tanaka 方程,24 小时 uK 在低值时被高估,在高值时被低估,而 Mage 方程则相反,存在观察到的差异偏差。根据预测方程和尿液样本采集时间,在从<1500 到≥3000mg 的 500mg 增量范围内,61-75%的个体 24 小时 uK 分类错误。预测的 24 小时 uK 与实测值之间的相关性为低到中度(0.19-0.71)。
由于单次尿液采集时间、已发表的预测方程以及年龄-种族-性别亚组内的预测 24 小时 uK 的准确性存在差异,因此在与健康结果相关的研究中使用预测的 24 小时 uK 时,应谨慎解释研究结果。可能可以开发出更准确的预测方程,从而得到不同的结果。