Background. The clock drawing test (CDT) is frequently used to detect changes in cognition. Multiple scales of varying length have been published to assess performance. The aim of this study is to compare the CDT performance measured by three scales among a sample of nondemented patients on renal dialysis and identify the variables that affect performance. Methodology. This is a cross-sectional study performed at the dialysis unit at King Saud University Medical City. Eighty-nine dialysis patients performed the CDT. The CDT was scored by the methods of Rouleau et al. (RCS 10-point), Babins et al. (BCS 18-point), and the MoCA (MCS 3-point). Regression models were used to determine influencing demographic and dialysis variables. Scores were then correlated, and a combined factor analysis of scale components was done. Results. Females represented 44.6%, the mean (SD) age was 49.99 (15.49) years, and education duration was 10.29 (5.5) years. Dialysis vintage was 55.81 (62.91) months. The scores for the MCS, RCS, and BCS were 2.18 (1.08), 6.67 (3.07), and 11.8 (5.5), respectively, with significant correlation (). In all scales, increasing age was associated with a lower score (each ). The scores increased with increasing education (each ). Diabetics had a lower score on both the BCS and MCS by 2.56 (SE 1.2) () and 0.71 () points, respectively. However, only age and years of education were significant in the multivariable analysis. In factor analysis, two shared factors appeared between the three scales: hand and number placement and the clock face. Conclusion. Age and education influence the performance on the CDT, and factors diverged into executive and visuospatial components. The MCS is likely to yield useful information but should be interpreted as part of the MoCA.

中文翻译：

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在透析患者中​​使用三种不同量表进行时钟绘图测试的性能比较

背景。时钟绘图测试（CDT）经常用于检测认知变化。已经发布了多个不同长度的量表来评估性能。本研究的目的是比较肾透析非痴呆患者样本中通过三个量表测量的 CDT 性能，并确定影响性能的变量。方法. 这是一项在沙特国王大学医学城透析室进行的横断面研究。89 名透析患者进行了 CDT。CDT 采用 Rouleau 等人的方法进行评分。（RCS 10 分），Babins 等人。（BCS 18 分）和 MoCA（MCS 3 分）。回归模型用于确定影响人口统计和透析变量。然后将分数关联起来，并对量表成分进行组合因素分析。结果。女性占 44.6%，平均 (SD) 年龄为 49.99 (15.49) 岁，受教育年限为 10.29 (5.5) 年。透析年份为 55.81 (62.91) 个月。MCS、RCS 和 BCS 的得分分别为 2.18（1.08）、6.67（3.07）和 11.8（5.5），具有显着相关性（）。在所有量表中，年龄增加与较低的分数相关（每个）。分数随着受教育程度的增加而增加（每个）。糖尿病患者的 BCS 和 MCS 得分均低 2.56（SE 1.2）（)和 0.71 ()点，分别。然而，在多变量分析中，只有年龄和受教育年限是显着的。在因素分析中，三个量表之间出现了两个共同因素：手和数字的位置以及钟面。结论。年龄和教育会影响 CDT 的表现，并且因素分为执行和视觉空间部分。MCS 可能会产生有用的信息，但应被解释为 MoCA 的一部分。