IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0059341.html
   My bibliography  Save this article

Three Groups in the 28 Joints for Rheumatoid Arthritis Synovitis – Analysis Using More than 17,000 Assessments in the KURAMA Database

Author

Listed:
  • Chikashi Terao
  • Motomu Hashimoto
  • Keiichi Yamamoto
  • Kosaku Murakami
  • Koichiro Ohmura
  • Ran Nakashima
  • Noriyuki Yamakawa
  • Hajime Yoshifuji
  • Naoichiro Yukawa
  • Daisuke Kawabata
  • Takashi Usui
  • Hiroyuki Yoshitomi
  • Moritoshi Furu
  • Ryo Yamada
  • Fumihiko Matsuda
  • Hiromu Ito
  • Takao Fujii
  • Tsuneyo Mimori

Abstract

Rheumatoid arthritis (RA) is a joint-destructive autoimmune disease. Three composite indices evaluating the same 28 joints are commonly used for the evaluation of RA activity. However, the relationship between, and the frequency of, the joint involvements are still not fully understood. Here, we obtained and analyzed 17,311 assessments for 28 joints in 1,314 patients with RA from 2005 to 2011 from electronic clinical chart templates stored in the KURAMA (Kyoto University Rheumatoid Arthritis Management Alliance) database. Affected rates for swelling and tenderness were assessed for each of the 28 joints and compared between two different sets of RA patients. Correlations of joint symptoms were analyzed for swellings and tenderness using kappa coefficient and eigen vectors by principal component analysis. As a result, we found that joint affected rates greatly varied from joint to joint both for tenderness and swelling for the two sets. Right wrist joint is the most affected joint of the 28 joints. Tenderness and swellings are well correlated in the same joints except for the shoulder joints. Patients with RA tended to demonstrate right-dominant joint involvement and joint destruction. We also found that RA synovitis could be classified into three categories of joints in the correlation analyses: large joints with wrist joints, PIP joints, and MCP joints. Clustering analysis based on distribution of synovitis revealed that patients with RA could be classified into six subgroups. We confirmed the symmetric joint involvement in RA. Our results suggested that RA synovitis can be classified into subgroups and that several different mechanisms may underlie the pathophysiology in RA synovitis.

Suggested Citation

  • Chikashi Terao & Motomu Hashimoto & Keiichi Yamamoto & Kosaku Murakami & Koichiro Ohmura & Ran Nakashima & Noriyuki Yamakawa & Hajime Yoshifuji & Naoichiro Yukawa & Daisuke Kawabata & Takashi Usui & H, 2013. "Three Groups in the 28 Joints for Rheumatoid Arthritis Synovitis – Analysis Using More than 17,000 Assessments in the KURAMA Database," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-6, March.
  • Handle: RePEc:plo:pone00:0059341
    DOI: 10.1371/journal.pone.0059341
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0059341
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0059341&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0059341?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Gary S. Firestein, 2003. "Evolving concepts of rheumatoid arthritis," Nature, Nature, vol. 423(6937), pages 356-361, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Motomu Hashimoto & Takao Fujii & Masahide Hamaguchi & Moritoshi Furu & Hiromu Ito & Chikashi Terao & Keiichi Yamamoto & Wataru Yamamoto & Takashi Matsuo & Masato Mori & Koichiro Ohmura & Hiroshi Kawab, 2014. "Increase of Hemoglobin Levels by Anti-IL-6 Receptor Antibody (Tocilizumab) in Rheumatoid Arthritis," PLOS ONE, Public Library of Science, vol. 9(5), pages 1-7, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Haobo Han & Jiakai Xing & Wenqi Chen & Jiaxin Jia & Quanshun Li, 2023. "Fluorinated polyamidoamine dendrimer-mediated miR-23b delivery for the treatment of experimental rheumatoid arthritis in rats," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    2. Hyemin Jeong & Young-Soo Chang & Sun Young Baek & Seon Woo Kim & Yeong Hee Eun & In Young Kim & Jaejoon Lee & Eun-Mi Koh & Hoon-Suk Cha, 2016. "Evaluation of Audiometric Test Results to Determine Hearing Impairment in Patients with Rheumatoid Arthritis: Analysis of Data from the Korean National Health and Nutrition Examination Survey," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-14, October.
    3. Chikashi Terao & Koichiro Ohmura & Katsunori Ikari & Yuta Kochi & Etsuko Maruya & Masaki Katayama & Kimiko Yurugi & Kota Shimada & Akira Murasawa & Shigeru Honjo & Kiyoshi Takasugi & Keitaro Matsuo & , 2012. "ACPA-Negative RA Consists of Two Genetically Distinct Subsets Based on RF Positivity in Japanese," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-8, July.
    4. Jiajing Jiang & Kelei Li & Fenglei Wang & Bo Yang & Yuanqing Fu & Jusheng Zheng & Duo Li, 2016. "Effect of Marine-Derived n-3 Polyunsaturated Fatty Acids on Major Eicosanoids: A Systematic Review and Meta-Analysis from 18 Randomized Controlled Trials," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-18, January.
    5. Leena R Baghdadi & Richard J Woodman & E Michael Shanahan & Arduino A Mangoni, 2015. "The Impact of Traditional Cardiovascular Risk Factors on Cardiovascular Outcomes in Patients with Rheumatoid Arthritis: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-18, February.
    6. Antonio Julià & Alba Erra & Carles Palacio & Carlos Tomas & Xavier Sans & Pere Barceló & Sara Marsal, 2009. "An Eight-Gene Blood Expression Profile Predicts the Response to Infliximab in Rheumatoid Arthritis," PLOS ONE, Public Library of Science, vol. 4(10), pages 1-8, October.
    7. Bahman Razi & Samira Esmaeili Reykandeh & Shahab Alizadeh & AliAkbar Amirzargar & Amene Saghazadeh & Nima Rezaei, 2019. "TIM family gene polymorphism and susceptibility to rheumatoid arthritis: Systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-15, February.
    8. Pushplata Prasad & Ashok Kumar & Rajiva Gupta & Ramesh C Juyal & Thelma B. K., 2012. "Caucasian and Asian Specific Rheumatoid Arthritis Risk Loci Reveal Limited Replication and Apparent Allelic Heterogeneity in North Indians," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-5, February.
    9. Chi Ching Chang & Chi Sheng Chiou & Hsiu Li Lin & Li Hsuan Wang & Yu Sheng Chang & Hsiu-Chen Lin, 2015. "Increased Risk of Acute Pancreatitis in Patients with Rheumatoid Arthritis: A Population-Based Cohort Study," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-11, August.
    10. Ishraq Abdul Ameer Salih* & Rabab Omran, 2018. "The Effects of Gene Polymorphisms in Interleukin-4 on the Susceptibility of Rheumatoid Arthritis in a Iraq Population," Journal of Biotechnology Research, Academic Research Publishing Group, vol. 4(10), pages 76-79, 10-2018.
    11. Kelei Li & Tao Huang & Jusheng Zheng & Kejian Wu & Duo Li, 2014. "Effect of Marine-Derived n-3 Polyunsaturated Fatty Acids on C-Reactive Protein, Interleukin 6 and Tumor Necrosis Factor α: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(2), pages 1-1, February.
    12. Chikashi Terao & Koichiro Ohmura & Masaki Katayama & Meiko Takahashi & Miki Kokubo & Gora Diop & Yoshinobu Toda & Natsuki Yamamoto & Human Disease Genomics Working Group & Rheumatoid Arthritis (RA) Cl, 2011. "Myelin Basic Protein as a Novel Genetic Risk Factor in Rheumatoid Arthritis—A Genome-Wide Study Combined with Immunological Analyses," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-10, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0059341. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.