Evaluation of separate quantitative radiographic features adds to the prediction of聽incident radiographic osteoarthritis in individuals with recent onset of knee pain: 5-year follow-up in the CHECK cohort

详细信息	查看全文 | 推荐本文 |

• 作者：M.B. Kinds^&dagger ; ; ^&Dagger ; ; A.C.A. Marijnissen^&dagger ; ; K.L. Vincken^&Dagger ; ; M.A. Viergever^&Dagger ; ; K.W. Drossaers-Bakker^§ ; ; J.W.J. Bijlsma^&dagger ; ; S.M.A. Bierma-Zeinstra^鈥?/sup> ; ^¶ ; ; P.M.J. Welsing^&dagger ; ; ^# ; F.P.J.G. Lafeber^&dagger ; ; ^{F.Lafeber@umcutrecht.nl}
• 关键词：Osteoarthritis ; Knee ; Early ; Development ; Radiographic ; Features
• 刊名：Osteoarthritis and Cartilage
• 出版年：2012
• 期刊代码：249_10634584
• 类别：med
• 出版时间：June, 2012
• 卷：20
• 期：6
• 页码：548-556
• 文件大小：161 K

摘要

| Figures/TablesFigures/Tables | ReferencesReferences

Summary

Objective

Detailed radiographic evaluation might enable the identification of osteoarthritis (OA) earlier in the disease. This study evaluated whether and which separate quantitative features on knee radiographs of individuals with recent onset knee pain are associated with incidence of radiographic OA and persistence and/or progression of clinical OA during 5-year follow-up.

Method

From the Cohort Hip & Cohort Knee study participants with knee pain at baseline were evaluated. Radiographic OA development was defined as Kellgren & Lawrence (K&L) grade 鈮I at 5-year follow-up. Clinical OA was defined as persistent knee pain and as progression of Westen Ontario & McMaster Universities Osteoarthritis index (WOMAC) pain and function score during follow-up. At baseline radiographic damage was determined by quantitative measurement of separate features using Knee Images Digital Analysis, and by K&L-grading.

Results

Measuring osteophyte area [odds ratio (OR)聽=聽7.0] and minimum joint space width (OR聽=聽0.7), in addition to demographic and clinical characteristics, improved the prediction of radiographic OA 5聽years later [area under curve receiver operating characteristic聽=聽0.74 vs 0.64 without radiographic features]. When the predictive score (based on multivariate regression coefficients) was larger than the cut-off for optimal specificity, the chance of incident radiographic OA was 54%instead of the prior probability of 19%. Evaluating separate quantitative features performed slightly better than K&L-grading (AUC聽=聽0.70). Radiographic characteristics hardly added to prediction of clinical OA.

Conclusion

In individuals with onset knee pain, radiographic characteristics added to the prediction of radiographic OA development 5聽years later. Quantitative radiographic evaluation in individuals with suspected OA is worthwhile when determining treatment strategies and designing clinical trials.