Risk of Early Infection in Idiopathic Inflammatory Myopathies: Cluster Analysis Based on Clinical Features and Biomarkers

被引:6
作者
Cheng, Lu [1 ,2 ,3 ]
Li, Yanhong [1 ,2 ,3 ]
Wu, Yinlan [1 ,2 ,3 ]
Luo, Yubin [1 ,2 ,3 ]
Zhou, Yu [4 ]
Liao, Zehui [5 ]
Wen, Ji [1 ,2 ,3 ]
Liang, Xiuping [1 ,2 ,3 ]
Wu, Tong [1 ,2 ,3 ]
Tan, Chunyu [1 ,2 ,3 ]
Liu, Yi [1 ,2 ,3 ]
机构
[1] Sichuan Univ, West China Hosp, Dept Rheumatol & Immunol, 37 Guoxue Alley, Chengdu 610041, Peoples R China
[2] Sichuan Univ, West China Hosp, Rare Dis Ctr, Chengdu, Peoples R China
[3] West China Hosp, Inst Immunol & Inflammat, Frontiers Sci Ctr Dis Related Mol Network, Chengdu, Peoples R China
[4] Chengdu First Peoples Hosp, Dept Resp & Crit Care Med, Chengdu, Peoples R China
[5] Meishan Peoples Hosp, Meishan, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
Idiopathic inflammatory myopathies (IIMs); infectin cluster; CONNECTIVE-TISSUE DISEASES; OPPORTUNISTIC INFECTIONS; POLYMYOSITIS;
D O I
10.1007/s10753-023-01790-w
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Patients with idiopathic inflammatory myopathies (IIMs), referred to as myositis, are prone to infectious complications, which hinder the treatment of the disease and worsen the outcome of patients. The purpose of this study was to explore the different types of infectious complications in patients with myositis and to determine the predisposing factors for clinical reference. A retrospective study was conducted on 66 patients with IIM who were divided into different subpopulations by an unsupervised analysis of their clinical manifestations, laboratory features, and autoantibody characteristics. Combined with the incidence of infectious complications, the types of infectious pathogens and the sites of infection, the characteristics of infection, and susceptibility factors were explored. Three clusters with significantly different clinical characteristics and coinfection rates were identified (76.2% vs. 41.6% vs. 36.4%, p = 0.0139). Cluster 1 (n = 12) had a moderate risk of infection, with an infection rate of 41.6%. The patients in cluster 1 had a high probability of positive mechanic's hands, periungual erythema, anti-Ro52 antibody, and anti-Jo1 antibody. CD3 and CD4 were the highest among the three groups. Cluster 2 (n = 21) had a high risk of infection, and the incidence of infection was 76.2%. Almost all patients in this cluster had a rash, prominent clinical symptoms, and decreased WBC, PMN, LYM, CD3, and CD4 counts. Cluster 3 (n = 33) had a low risk of infection, with an infection rate of 36.4%. Compared with the other two clusters, cluster 3 (n = 33) lacked a typical rash but had a high ANA-positive rate. The patients in cluster 1 and cluster 3 were mainly infected by viruses, followed by bacterial infections. In cluster 2 patients, bacterial infections were the most prevalent. Fungal and Pneumocystis carinii were common causes of cluster 2 and 3 infections. In addition, the patients within a cluster often have a single infection, and pulmonary infections are the most common. We clustered the patients with IIM complicated with infection into three different types by their clinical symptoms and found that there were differences in the infection risk and infection types among the different cluster groups.
引用
收藏
页码:1036 / 1046
页数:11
相关论文
共 25 条
  • [1] ARNING M, 1994, MYCOSES, V37, P70
  • [2] Inflammatory muscle disease - An update
    Baig, Sara
    Paik, Julie J.
    [J]. BEST PRACTICE & RESEARCH IN CLINICAL RHEUMATOLOGY, 2020, 34 (01):
  • [3] POLYMYOSITIS AND DERMATOMYOSITIS .2.
    BOHAN, A
    PETER, JB
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 1975, 292 (08) : 403 - 407
  • [4] Diagnosis, pathogenesis and treatment of myositis: recent advances
    Carstens, P. -O.
    Schmidt, J.
    [J]. CLINICAL AND EXPERIMENTAL IMMUNOLOGY, 2014, 175 (03) : 349 - 358
  • [5] High burden of infections in Indian patients with Idiopathic Inflammatory Myopathy: validation of observations from the MyoCite dataset
    Chatterjee, Rudrarpan
    Mehta, Pankti
    Agarwal, Vikas
    Gupta, Latika
    [J]. RHEUMATOLOGY, 2021, 60 (09) : 4315 - 4326
  • [6] Infections in polymyositis and dermatomyositis: analysis of 192 cases
    Chen, I-Jung
    Tsai, Wen-Pin
    Wu, Yeong-Jian Jan
    Luo, Shue-Fen
    Ho, Huei-Huang
    Liou, Lieh-Bang
    Chen, Ji-Yih
    Kuo, Chang-Fu
    Chang, Hsiao-Chun
    Yang, Chung-Han
    Yu, Kuang-Hui
    [J]. RHEUMATOLOGY, 2010, 49 (12) : 2429 - 2437
  • [7] The chameleon rash: a review of the polyphenotypic dermatoses of dermatomyositis
    Connolly, A.
    Gordon, P. A.
    Hannah, J.
    Creamer, D.
    [J]. CLINICAL AND EXPERIMENTAL DERMATOLOGY, 2021, 46 (06) : 1016 - 1022
  • [8] Simulation-derived best practices for clustering clinical data
    Coombes, Caitlin E.
    Liu, Xin
    Abrams, Zachary B.
    Coombes, Kevin R.
    Brock, Guy
    [J]. JOURNAL OF BIOMEDICAL INFORMATICS, 2021, 118
  • [9] Inflammatory Muscle Diseases
    Dalakas, Marinos C.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2015, 372 (18) : 1734 - 1747
  • [10] Infection-related morbidity and mortality in patients with connective tissue diseases: a systematic review
    Falagas, Matthew E.
    Manta, Katerina G.
    Betsi, Gregoria I.
    Pappas, Georgios
    [J]. CLINICAL RHEUMATOLOGY, 2007, 26 (05) : 663 - 670