The application of control limits analysis to the myometric assessment of motor performance in neuropathy patients

Lough, J.C., Rafferty, D., McColl, J.H. , Bell, F. and Willison, H.J. (2000) The application of control limits analysis to the myometric assessment of motor performance in neuropathy patients. European Journal of Neurology, 7(4), pp. 427-434. (doi: 10.1046/j.1468-1331.2000.00095.x) (PMID:10971603)

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Measurement of muscle strength by myometry is used to monitor the natural course and treatment response of motor system diseases, both in individual patients and clinical trials. However, the practical usefulness of myometric data is reliant upon a statistical method for analysing serial strength measurements which distinguishes disease-related changes from random fluctuations in patient performance and operator/device dependent measurement errors. In this study we have applied control limits analysis to this problem. Using hand-held dynamometry, sets of baseline strength measurements were collected on two separate occasions during a period of clinical stability from up to four muscle groups in 22 patients with peripheral neuropathies. From these sets of data, 76 control limits were calculated and then used to describe the inter-measurement variation in muscle strength in individual muscles. The range of control limits was wide, varying from <10% of baseline (in 36% of muscles tested) to >50% (in 4% of muscles tested), with 88% of muscles falling within 30% of baseline. Follow-up data were also collected from all patients, including those undergoing treatment. Control limits analysis is a powerful and simple method for assessing the significance of motor performance changes in individual muscles in patients undergoing serial monitoring and can be easily applied to both single patients and clinical trials.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Willison, Professor Hugh and McColl, Professor John
Authors: Lough, J.C., Rafferty, D., McColl, J.H., Bell, F., and Willison, H.J.
College/School:College of Medical Veterinary and Life Sciences > School of Infection & Immunity
College of Science and Engineering > School of Mathematics and Statistics > Statistics
Journal Name:European Journal of Neurology
ISSN (Online):1468-1331

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