Value and appropriate use of rating scales and apparative measurements in quantification of disability in Parkinson's disease.

H Baas, K Stecker, P A Fischer
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引用次数: 37

Abstract

Despite widespread use in pharmacotherapeutical trials, in the majority of rating scales used in Parkinson's disease (PD) validity, reliability and appropriate use have never been confirmed by statistical data. For this reason 350 unselected PD-pats. were investigated by an extensive standardized test-battery including registration of basis data, Columbia University Rating Scale (CURS), scale for assessment of functional disability (ADL), SCAG-scale, Hoehn & Jahr-scale (HY), mod. Webster step second-test (WSST), Purdue-pegboard, questionnaire for subjective complaints (SC), WDG, LPS1/2, 3/4, 6, 7, 10, clinical assessment of dementia, v. Zerssen-scale and orthostatic hypotension (60 degrees tilt up). For CURS, SCAG and ADL instrumental reliability was calculated by Cronbach's alpha. For CURS, SCAG, ADL and the total data of complete test battery (CTB) principal component analysis (PCA) was performed for data reduction. CURS, SCAG and ADL showed high internal consistency (alpha approximately > or = 0.9). For CURS 5 factors accounting for 66% total variance could be extracted by PCA. They represent gait, rigidity, tremor, right/left dexterity (eigenvalues > 1). For SCAG 3 factors (61% of total variance) representing dementia, depression and change of personality were extracted. For ADL 3 factors (67% of total variance) could be extracted, representing overall functional disability, handwriting and disability by pain. PCA of the CTB identified 8 interpretable factors (66% of total variance) characterizing at least partially the clinical profile of PD: 1. motor disability (assessment by rating-scales) 2. dementia, 3. motor-disability (assessment by apparative measurements), 4. depression, 5. orthostatic hypotension, 6. WDG, 7. tremor and 8. pain. Our data confirm the suitability of the investigated scales and give a rational base for their appropriate use in a sense of data reduction and economical evaluation.

评定量表和幻影测量在帕金森病残疾量化中的价值和适当使用。
尽管在药物治疗试验中广泛使用,但在帕金森病(PD)中使用的大多数评定量表中,效度、可靠性和适当使用从未得到统计数据的证实。因此,350个未选中的pd -pat。采用广泛的标准化测试,包括基础数据注册、哥伦比亚大学评定量表(CURS)、功能障碍评定量表(ADL)、scag量表、Hoehn & jahr量表(HY)、mod. Webster步进第二测试(WSST)、Purdue-pegboard、主观主诉问卷(SC)、WDG、LPS1/2、3/4、6、7、10、痴呆临床评估、v. zerssen量表和直立性低血压(60度倾斜)。对于CURS, SCAG和ADL的仪器信度采用Cronbach's alpha计算。对CURS、SCAG、ADL和全试验电池总数据(CTB)进行主成分分析(PCA)进行数据约简。CURS、SCAG和ADL具有较高的内部一致性(alpha近似>或= 0.9)。对于CURS, PCA可以提取占总方差66%的5个因子。它们代表步态、僵硬、震颤、左右灵巧(特征值> 1)。对于SCAG 3个因素(占总方差的61%),代表痴呆、抑郁和人格改变。对于ADL 3因子(占总方差的67%)可以提取,代表整体功能残疾、书写残疾和疼痛残疾。CTB的PCA确定了8个可解释的因素(占总方差的66%),至少部分表征了PD的临床特征:运动障碍(评定量表)痴呆,3。3 .运动障碍(通过显像测量评估);抑郁,5。体位性低血压,6。WDG 7。震颤和8。疼痛。我们的数据证实了所调查量表的适用性,并在数据减少和经济评估的意义上为其适当使用提供了合理的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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