ヤマナカ ヒサシ
  山中 寿
   所属   医学部 医学科(東京女子医科大学病院)
   職種   客員教授
論文種別 原著
言語種別 英語
査読の有無 査読あり
表題 Risk factors for wrist surgery in rheumatoid arthritis.
掲載誌名 正式名:Clinical rheumatology
略  称:Clin Rheumatol
ISSNコード:(1434-9949)0770-3198(Linking)
巻・号・頁 27(11),pp.1387-1391
著者・共著者 MOMOHARA Shigeki, INOUE Eisuke, IKARI Katsunori, TSUKAHARA So, KAWAMURA Koichiro, TOKI Hiroe, HARA Masako, KAMATANI Naoyuki, YAMANAKA Hisashi, TOMATSU Taisuke
発行年月 2008/11
概要 To assess the risk factors for wrist surgery in a cohort of rheumatoid arthritis (RA) patients recruited and followed prospectively for 6 years. A linked registry study was performed using information from a large observational cohort of RA patients followed at the Institute of Rheumatology, Tokyo Women's Medical University. Baseline routine clinical and laboratory assessments were recorded. The data were analyzed using the multivariate Cox regression model that included variables such as gender, age, disease duration, a visual analog scale (VAS) generated by physicians, a patient-reported VAS for pain (VAS-pain), a VAS for general health, disability level using the Japanese version of the Health Assessment Questionnaire (J-HAQ), erythrocyte sedimentation rate, and serum levels of C-reactive protein and rheumatoid factor as potential risk factors. Of the 5,497 patients registered at baseline, 122 (2.22%) had surgery on one or both wrist joints. Multivariate Cox regression analysis of the variables revealed positive coefficients for J-HAQ and VAS-pain and that advanced age and long RA duration were associated with a reduced risk of wrist surgery. The hazard ratios were: 1.515 for J-HAQ, 1.126 for VAS-pain, 0.985 for age, and 0.964 for RA duration. Advanced age and long RA duration were associated with a decreased risk of wrist surgery, while J-HAQ and VAS-pain were associated with an increased risk. The identification of the risk factors for wrist surgery provides important insights into the course of the disease and its impact on patients, as well as the potential consequences for health care resource utilization planning.
DOI 10.1007/s10067-008-0928-7
PMID 18500434