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医生和自我评估的重症肌无力日常生活活动评分。

Physician- and self-assessed myasthenia gravis activities of daily living score.

机构信息

Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Republic of Korea.

Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

出版信息

Muscle Nerve. 2018 Mar;57(3):419-422. doi: 10.1002/mus.25764. Epub 2017 Nov 16.

DOI:10.1002/mus.25764
PMID:28796382
Abstract

INTRODUCTION

The Myasthenia Gravis-Activities of Daily Living (MG-ADL) profile scale is a simple-to-use instrument. We aimed to validate this scale in the Korean language and compare physician- and self-assessed MG-ADL scores (pMG-ADL-K and sMG-ADL-K).

METHODS

pMG-ADL-K and sMG-ADL-K and MG Composite (MGC) scores were obtained from patients. The correlation between pMG-ADL-K and MGC and the relationship between the pMG-ADL-K and sMG-ADL-K were assessed using the Cronbach α and the Spearman coefficient. By intraclass correlation coefficient (ICC), the reliability of each sub-item of pMG-ADL-K and sMG-ADL-K was evaluated.

RESULTS

We included data from 40 patients. The pMG-ADL-K score showed a strong correlation with the MGC score (rho = 0.80, P < 0.01). The Cronbach α was 0.98 between pMG-ADL-K and sMG-ADL-K, and sub-items showed good consistency (ICC 0.684-0.985, P < 0.001).

DISCUSSION

The MG-ADL-K is a valid tool and the sMG-ADL-K shows excellent correlation with pMG-ADL-K. Both the pMG-ADL-K and sMG-ADL-K can be used to measure MG severity. Muscle Nerve 57: 419-422, 2018.

摘要

简介

重症肌无力日常生活活动(MG-ADL)量表是一种易于使用的工具。我们旨在验证该量表的韩语版本,并比较医生和自我评估的 MG-ADL 评分(pMG-ADL-K 和 sMG-ADL-K)。

方法

从患者中获得 pMG-ADL-K 和 sMG-ADL-K 和 MG 综合(MGC)评分。使用 Cronbach α 和 Spearman 系数评估 pMG-ADL-K 和 MGC 之间的相关性以及 pMG-ADL-K 和 sMG-ADL-K 之间的关系。通过组内相关系数(ICC)评估 pMG-ADL-K 和 sMG-ADL-K 的每个子项的可靠性。

结果

我们纳入了 40 名患者的数据。pMG-ADL-K 评分与 MGC 评分呈强相关性(rho=0.80,P<0.01)。pMG-ADL-K 和 sMG-ADL-K 之间的 Cronbach α 为 0.98,子项具有良好的一致性(ICC 0.684-0.985,P<0.001)。

讨论

MG-ADL-K 是一种有效的工具,sMG-ADL-K 与 pMG-ADL-K 具有极好的相关性。pMG-ADL-K 和 sMG-ADL-K 均可用于测量 MG 的严重程度。肌肉神经 57:419-422, 2018。

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