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用于区分肢带型肌营养不良症和特发性炎性肌病的鉴别诊断模型的开发。

Development of differential diagnostic models for distinguishing between limb-girdle muscular dystrophy and idiopathic inflammatory myopathy.

作者信息

Wang Guangyu, Fu Lijun, Zhang Lining, Shao Kai, Hou Ying, Dai Tingjun, Lin Pengfei, Yan Chuanzhu, Zhao Bing

机构信息

Department of Neurology, Shandong Key Laboratory of Mitochondrial Medicine and Rare Diseases, Research Institute of Neuromuscular and Neurodegenerative Diseases, Qilu Hospital of Shandong University, Jinan, Shandong, 250012, China.

School of Finance, Southwestern University of Finance and Economics, Chengdu, 611130, China.

出版信息

Arthritis Res Ther. 2024 Dec 19;26(1):215. doi: 10.1186/s13075-024-03458-8.

Abstract

OBJECTIVE

Limb-girdle muscular dystrophy (LGMD) is usually confused with idiopathic inflammatory myopathy (IIM) in clinical practice. Our study aimed to establish convenient and reliable diagnostic models for distinguishing between LGMD and IIM.

METHODS

A total of 71 IIM patients, 24 LGMDR2 patients and 22 LGMDR1 patients diagnosed at our neuromuscular center were enrolled. Differences in clinical, laboratory and histopathological characteristics were comprehensively compared. A nomogram and a decision tree were developed to distinguish between LGMD and IIM patients.

RESULTS

Compared to patients with LGMD, IIM patients exhibited a significantly older age of onset, a higher prevalence of cervical flexor weakness and a more commonly diffuse MHC-I expression on muscle pathology. The ratio of synchronous serum myoglobin (Mb, ng/ml) to creatine kinase (CK, U/L) before immunotherapy was significantly higher in IIM patients than in LGMD patients. Receiver operating characteristic analysis indicated a high differential diagnostic efficiency of synchronous Mb/CK with a cutoff value of 0.18. A nomogram prediction model and a decision tree were developed based on four independent indicators (age of onset, cervical flexor weakness, synchronous Mb/CK and diffuse MHC-I expression). Five-fold cross-validation and bootstrapping techniques substantiated the discriminate efficacy of the nomograph and decision tree.

CONCLUSION

We developed two practical differential diagnosis models for LGMD and IIM based on the analysis of four accessible indicators, including the age of onset, cervical flexor weakness, the ratio of synchronous Mb/CK values and diffuse MHC-I expression. Further studies with larger samples are needed to refine the predictive efficiency of the differential diagnostic models.

摘要

目的

在临床实践中,肢带型肌营养不良(LGMD)常与特发性炎性肌病(IIM)相混淆。我们的研究旨在建立方便可靠的诊断模型,以区分LGMD和IIM。

方法

纳入在我们神经肌肉中心诊断的71例IIM患者、24例LGMDR2患者和22例LGMDR1患者。全面比较临床、实验室和组织病理学特征的差异。开发了列线图和决策树以区分LGMD和IIM患者。

结果

与LGMD患者相比,IIM患者发病年龄显著更大,颈屈肌无力患病率更高,且在肌肉病理上更常见弥漫性MHC-I表达。免疫治疗前,IIM患者同步血清肌红蛋白(Mb,ng/ml)与肌酸激酶(CK,U/L)的比值显著高于LGMD患者。受试者工作特征分析表明,同步Mb/CK具有较高的鉴别诊断效率,临界值为0.18。基于四个独立指标(发病年龄、颈屈肌无力、同步Mb/CK和弥漫性MHC-I表达)开发了列线图预测模型和决策树。五重交叉验证和自抽样技术证实了列线图和决策树的鉴别效能。

结论

基于对四个可获取指标的分析,包括发病年龄、颈屈肌无力、同步Mb/CK值的比值和弥漫性MHC-I表达,我们开发了两种实用的LGMD和IIM鉴别诊断模型。需要进一步进行更大样本量的研究以提高鉴别诊断模型的预测效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e8b2/11658350/004bb3f2714e/13075_2024_3458_Fig1_HTML.jpg

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