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Cut points for mild, moderate, and severe pain on the VAS for children and adolescents: What can be learned from 10 million ANOVAs?

机译:儿童和青少年VAS轻度,中度和重度疼痛的切入点:1000万方差分析可以学到什么?

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Cut points that classify pain intensity into mild, moderate, and severe levels are widely used in pain research and clinical practice. At present, there are no agreed-upon cut points for the visual analog scale (VAS) in pediatric samples. We applied a method based on Serlin and colleagues' procedure (Serlin RC, Mendoza TR, Nakamura Y, Edwards KR, Cleeland CS. When is cancer pain mild, moderate or severe? Grading pain severity by its interference with function. PAIN? 1995;61:277-84) that was previously only used for the 0 to 10 numerical rating scale to empirically establish optimal cut points (OCs) for the VAS and used bootstrapping to estimate the variability of these thresholds. We analyzed data from the German Health Interview and Examination Survey for Children and Adolescents (KiGGS) study and defined OCs both for parental ratings of their children's pain and adolescents' self-ratings of pain intensity. Data from 2276 children (3 to 10 years; 54% female) and 2982 adolescents (11 to 17 years; 61% female) were analyzed. OCs were determined in a by-millimeter analysis that tested all possible 4851 OC combinations, and a truncated analysis were OCs were spaced 5 mm apart, resulting in 171 OC combinations. The OC method identified 2 different OCs for parental ratings and self-report, both in the by-millimeter and truncated analyses. When we estimated the variability of the by-millimeter analysis, we found that the specific OCs were only found in 11% of the samples. The truncated analysis revealed, however, that cut points of 35:60 are identified as optimal in both samples and are a viable alternative to separate cut points. We found a set of cut points that can be used both parental ratings of their children's pain and self-reports for adolescents. Adopting these cut points greatly enhances the comparability of trials. We call for more systematic assessment of diagnostic procedures in pain research.
机译:将疼痛强度分为轻度,中度和重度的切点被广泛用于疼痛研究和临床实践。目前,儿科样本中的视觉模拟量表(VAS)尚无商定的切入点。我们应用了一种基于Serlin及其同事的方法的方法(Serlin RC,Mendoza TR,Nakamura Y,Edwards KR,Cleeland CS。癌症疼痛何时是轻度,中度或重度?由于其对功能的干扰而使疼痛的严重程度分级为PAIN?1995; 61:277-84)以前仅用于0到10的数字等级量表以凭经验建立VAS的最佳切割点(OC),并使用自举法估算这些阈值的可变性。我们分析了德国儿童和青少年健康访问与检查调查(KiGGS)研究中的数据,并定义了OC来评估孩子的父母对孩子的疼痛程度以及青少年对疼痛强度的自我评价。分析了来自2276名儿童(3至10岁;女性54%)和2982名青少年(11至17岁; 61%女性)的数据。 OC是通过对所有可能的4851个OC组合进行测试的毫米分析确定的,并且截短的分析是OC间隔5 mm,导致171个OC组合。 OC方法在毫米级和截短分析中都确定了2种不同的OC,用于父母评估和自我报告。当我们估算毫米分析法的变异性时,我们发现仅在11%的样品中发现了特定的OC。截短的分析显示,然而,在两个样品中都将35:60的切点确定为最佳,并且是单独切点的可行替代方案。我们发现了一组切入点,可用于父母对孩子的疼痛程度的评估以及对青少年的自我报告。采用这些切点将大大增强试验的可比性。我们呼吁对疼痛研究中的诊断程序进行更系统的评估。

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