Spaarne Hospital Hoofddorp, Spaarnepoort 1, Hoofddorp, The Netherlands.
Brain. 2012 May;135(Pt 5):1639-49. doi: 10.1093/brain/awr318. Epub 2011 Dec 20.
The Medical Research Council grading system has served through decades for the evaluation of muscle strength and has been recognized as a cardinal feature of daily neurological, rehabilitation and general medicine examination of patients, despite being respectfully criticized due to the unequal width of its response options. No study has systematically examined, through modern psychometric approach, whether physicians are able to properly use the Medical Research Council grades. The objectives of this study were: (i) to investigate physicians' ability to discriminate among the Medical Research Council categories in patients with different neuromuscular disorders and with various degrees of weakness through thresholds examination using Rasch analysis as a modern psychometric method; (ii) to examine possible factors influencing physicians' ability to apply the Medical Research Council categories through differential item function analyses; and (iii) to examine whether the widely used Medical Research Council 12 muscles sum score in patients with Guillain-Barré syndrome and chronic inflammatory demyelinating polyradiculoneuropathy would meet Rasch model's expectations. A total of 1065 patients were included from nine cohorts with the following diseases: Guillain-Barré syndrome (n = 480); myotonic dystrophy type-1 (n = 169); chronic inflammatory demyelinating polyradiculoneuropathy (n = 139); limb-girdle muscular dystrophy (n = 105); multifocal motor neuropathy (n = 102); Pompe's disease (n = 62) and monoclonal gammopathy of undetermined related polyneuropathy (n = 8). Medical Research Council data of 72 muscles were collected. Rasch analyses were performed on Medical Research Council data for each cohort separately and after pooling data at the muscle level to increase category frequencies, and on the Medical Research Council sum score in patients with Guillain-Barré syndrome and chronic inflammatory demyelinating polyradiculoneuropathy. Disordered thresholds were demonstrated in 74-79% of the muscles examined, indicating physicians' inability to discriminate between most Medical Research Council categories. Factors such as physicians' experience or illness type did not influence these findings. Thresholds were restored after rescoring the Medical Research Council grades from six to four options (0, paralysis; 1, severe weakness; 2, slight weakness; 3, normal strength). The Medical Research Council sum score acceptably fulfilled Rasch model expectations after rescoring the response options and creating subsets to resolve local dependency and item bias on diagnosis. In conclusion, a modified, Rasch-built four response category Medical Research Council grading system is proposed, resolving clinicians' inability to differentiate among its original response categories and improving clinical applicability. A modified Medical Research Council sum score at the interval level is presented and is recommended for future studies in Guillain-Barré syndrome and chronic inflammatory demyelinating polyradiculoneuropathy.
肌肉力量的医学研究委员会分级系统已经使用了几十年,被认为是神经科、康复科和普通医学检查患者的主要特征之一,尽管由于其反应选项的宽度不等而受到尊重的批评。没有研究通过现代心理计量学方法系统地检查医生是否能够正确使用医学研究委员会的等级。本研究的目的是:(i)通过使用 Rasch 分析作为现代心理计量学方法进行阈值检查,研究医生在患有不同神经肌肉疾病和不同程度虚弱的患者中区分医学研究委员会类别(MRC)的能力;(ii)检查可能影响医生应用医学研究委员会类别能力的因素,通过差异项目功能分析;(iii)检查在吉兰-巴雷综合征和慢性炎症性脱髓鞘性多发性神经病患者中广泛使用的医学研究委员会 12 块肌肉总和评分是否符合 Rasch 模型的预期。从九个队列中纳入了 1065 名患者,包括以下疾病:吉兰-巴雷综合征(n=480);强直性肌营养不良 1 型(n=169);慢性炎症性脱髓鞘性多发性神经病(n=139);肢带型肌营养不良症(n=105);多发性运动神经病(n=102);庞贝病(n=62)和单克隆丙种球蛋白血症相关多发性神经病(n=8)。收集了 72 块肌肉的医学研究委员会数据。对每个队列的医学研究委员会数据进行 Rasch 分析,然后在肌肉水平上汇总数据以增加类别频率,并对吉兰-巴雷综合征和慢性炎症性脱髓鞘性多发性神经病患者的医学研究委员会总和评分进行分析。在检查的 74-79%的肌肉中显示出无序阈值,表明医生无法区分大多数医学研究委员会类别。医生的经验或疾病类型等因素并没有影响这些发现。将医学研究委员会等级从六级重新评分至四级(0,瘫痪;1,严重无力;2,轻度无力;3,正常强度)后,阈值得到恢复。重新评分反应选项并创建子集以解决诊断时的局部依赖性和项目偏差后,医学研究委员会总和评分可以接受地满足 Rasch 模型的预期。总之,提出了一种改良的、基于 Rasch 的四级反应类别医学研究委员会分级系统,解决了临床医生无法区分其原始反应类别的问题,并提高了临床适用性。提出了一种改良的医学研究委员会总和评分,处于区间水平,并建议在吉兰-巴雷综合征和慢性炎症性脱髓鞘性多发性神经病的未来研究中使用。