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不同光照条件和评分技术下的尿液颜色评分评估尿液浓度的有效性。

Validity of Urine Color Scoring Using Different Light Conditions and Scoring Techniques to Assess Urine Concentration.

机构信息

College of Health Solutions, Arizona State University, Phoenix.

出版信息

J Athl Train. 2022 Feb 1;57(2):191-198. doi: 10.4085/1062-6050-0389.21.

Abstract

CONTEXT

Urine color (Uc) is used to asses urine concentration when laboratory techniques are not feasible.

OBJECTIVE

To compare the accuracy of Uc scoring using 4 light conditions and 2 scoring techniques with a 7-color Uc chart. Additionally, to assess the results' generalizability, a subsample was compared with scores obtained from fresh samples.

DESIGN

Descriptive laboratory study.

SAMPLES

A total of 178 previously frozen urine samples were scored, and 78 samples were compared with their own fresh outcomes.

MAIN OUTCOME MEASURE(S): Urine color and accuracy for classifying urine samples were calculated using receiver operating characteristics analysis, allowing us to compare the diagnostic capacity against a 1.020 urine specific gravity cutoff and defining optimal Uc cutoff value.

RESULTS

Urine color was different among light conditions (P < .01), with the highest accuracy (80.3%) of correct classifications of low or high urine concentrations occurring at the brightest light condition. Lower light intensity scored 1.5 to 2 shades darker on the 7-color Uc scale than bright conditions (P < .001), but no further practical differences in accuracy occurred between scoring techniques. Frozen was 0.5 to 1 shade darker than freshly measured Uc (P < .004), but the values were moderately correlated (r = 0.64). A Bland-Altman plot showed that reporting bias mainly affected darker Uc without affecting the diagnostic ability of the method.

CONCLUSIONS

Urine color scoring, accuracy, and Uc cutoff values were affected by lighting condition but not by scoring technique, with greater accuracy and a 1-shade-lower Uc cutoff value at the brightest light (ie, light-emitting diode flashlight).

摘要

背景

尿液颜色(Uc)用于在无法进行实验室技术检测时评估尿液浓度。

目的

比较在 4 种光照条件和 2 种评分技术下使用 Uc 评分与 7 色 Uc 图表的准确性。此外,为了评估结果的通用性,对亚样本与新鲜样本的评分结果进行了比较。

设计

描述性实验室研究。

样本

共对 178 份先前冷冻的尿液样本进行了评分,其中 78 份样本与自身新鲜样本的结果进行了比较。

主要观察指标

使用受试者工作特征分析计算尿液颜色和分类尿液样本的准确性,从而可以比较诊断能力与 1.020 尿比重的临界值,并确定最佳 Uc 临界值。

结果

尿液颜色在光照条件之间存在差异(P <.01),在最亮的光照条件下,低或高尿液浓度的正确分类准确率最高(80.3%)。与明亮条件相比,低光照强度在 7 色 Uc 量表上的评分低 1.5 到 2 个色阶(P <.001),但评分技术之间的准确性没有进一步的实际差异。冷冻样本的 Uc 比新鲜测量的 Uc 低 0.5 到 1 个色阶(P <.004),但两者之间存在中度相关性(r = 0.64)。Bland-Altman 图显示,报告偏倚主要影响较暗的 Uc,而不影响该方法的诊断能力。

结论

尿液颜色评分、准确性和 Uc 临界值受光照条件的影响,但不受评分技术的影响,在最亮的光照条件下(即发光二极管手电筒),准确性更高,Uc 临界值降低 1 个色阶。

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Int J Environ Res Public Health. 2021 Apr 13;18(8):4126. doi: 10.3390/ijerph18084126.
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